JP6724922B2 - Teacher data providing device, estimating device, estimating system, teacher data providing method, estimating method, and program - Google Patents

Description

The present invention relates to a teacher data providing device, an estimating device, an estimating system, a teacher data providing method, an estimating method, and a program.

Attempts have been made to grasp the operating states (power supply state, power consumption, etc.) of a plurality of monitored electric devices. When the user grasps the operating state of the monitored electric device, it is expected to have effects such as energy saving.

Patent Document 1 discloses a technique of extracting a feature amount from data detected by a measurement sensor installed near a power feed line inlet and estimating an operating state of each of a plurality of electric devices based on the feature amount.

When estimating the operating state of the electrical equipment group to be monitored using the estimation technique as disclosed in Patent Document 1, it is necessary to register teacher data in the estimation device in advance. The teacher data is data in which identification information of each monitored electric device is associated with a characteristic amount included in measurement data (current consumption, power consumption, etc.) when each device is in operation.

Patent Documents 2 and 3 disclose techniques for registering teacher data.

In Patent Document 2, a user input of identification information (eg, product name, model number, serial number, etc.) of each of the monitored electric devices is received, and the feature information of the monitored electric device is used by using the identification information. Is disclosed from the electric device feature amount database.

In Patent Document 3, a feature amount is extracted from difference data of data before and after the time when the value of the measurement data changes by a predetermined level or more, and an input for selecting an electric device whose power is turned on/off at that time is input. A technique is disclosed in which teacher data received from a user and registered with teacher data in which extracted feature amounts are associated with selected electrical devices.

In addition, the following technologies are disclosed in Patent Documents 4 to 6.

In Patent Document 4, a power consumption storage unit that stores the states of components that make up the system and the power consumption of the components in the states, a condition storage unit that stores the conditions under which the states of the components transition, and a system simulation When the simulator does not notify the information indicating the state of the component, the generation unit that generates the state sequence in which the states are arranged in the order of transition according to the condition stored in the condition storage unit, and the state that forms the state sequence A state sequence is formed by a ratio calculation unit that calculates a ratio of the time when the component is in the above state per unit time, a product of the ratio calculated by the ratio calculation unit, and the power consumption stored in the power consumption storage unit. A power consumption estimating device is disclosed, which comprises: an estimating unit that obtains the sum of the obtained products for each of the states described above and estimates the sum of the products as the power consumption of the component.

Patent Document 5 discloses an energy consumption estimation device that estimates energy consumption in a route section in which a target electric vehicle travels in the future.

Patent Document 6 discloses a load calculation device that appropriately calculates a load on an electronic board.

Patent No. 3403368 JP, 2010-210575, A JP, 2015-21775, A JP, 2013-242611, A JP, 2014-107927, A JP, 2008-241432, A

As described above, when estimating the operating state of the monitored electric device group using the estimation technique disclosed in Patent Document 1, it is necessary to register teacher data in the estimation device in advance.

In the case of the techniques described in Patent Documents 2 and 3, it is necessary for the user to input the identification information of each electric device to be monitored. In the case of this means, the larger the number of monitored electric devices, the heavier the load on the user.

An object of the present invention is to provide a new technique for registering teacher data in the technique of estimating the operating state of an electric device to be monitored.

According to the invention,
Measurement data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or an acquisition unit that acquires a predetermined characteristic amount extracted from the measurement data,
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. Teacher data selecting means for selecting the teacher data including the feature quantity that matches or is similar to the feature quantity or is equal to or more than a predetermined level,
Output means for outputting the teacher data selected by the teacher data selecting means,
There is provided a teacher data providing device having:

Further, according to the present invention,
An actual measurement data acquisition unit for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation;
The measurement data, or an estimating device output means for outputting a predetermined feature amount extracted from the measurement data,
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output unit and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means,
An estimating means for estimating operating states of the plurality of electric devices based on the measured data and the teacher data accumulated in the teacher data storage means;
An estimation device having is provided.

Further, according to the present invention,
An estimation system including the teacher data providing device and the estimation device is provided.

Further, according to the present invention,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors,
Teacher data storage means for accumulating, for each of the measurement sensors, teacher data in which identification information of the electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
Estimating means for estimating the operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means for each of the measurement sensors;
An acquisition unit that acquires the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
From the teacher data stored in the teacher data storage unit corresponding to the measurement sensor different from the first measurement sensor, the feature amount extracted from the actual measurement data acquired by the acquisition unit matches. Or teacher data selection means for selecting the teacher data including the feature amount that is similar to a predetermined level or more,
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
An estimation device having is provided.

Further, according to the present invention,
An actual measurement data acquisition unit for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation;
Teacher data storage means for accumulating teacher data in which identification information of an electric device and a characteristic amount included in measurement data of current consumption or power consumption while the electric device is operating are associated with each other,
An estimating means for estimating operating states of the plurality of electric devices based on the measured data and the teacher data accumulated in the teacher data storage means;
From the other estimation device, the measurement data, or an acquisition means for acquiring a predetermined feature amount extracted from the measurement data,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data acquired by the acquisition means, or a predetermined level or more.
Output means for outputting the teacher data selected by the teacher data selection means toward the other estimation device;
An estimation device is further provided that further includes:

Further, according to the present invention,
Computer,
Measurement data that is measurement data of current consumption or power consumption measured during operation of one or a plurality of electric devices, or acquisition means for acquiring a predetermined feature amount extracted from the measurement data,
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. Teacher data selecting means for selecting the teacher data including the feature amount that matches the feature amount or is similar to or greater than a predetermined level.
Output means for outputting the teacher data selected by the teacher data selection means,
A program to function as is provided.

Further, according to the present invention,
Computer
Measurement data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or an acquisition step of acquiring a predetermined feature amount extracted from the measurement data;
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. A teacher data selecting step of selecting the teacher data including the feature quantity that matches the feature quantity or is similar to the feature quantity by a predetermined level or more;
An output step of outputting the teacher data selected in the teacher data selection step;
A method for providing teacher data for executing the method is provided.

Further, according to the present invention,
Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation,
Estimation device output means for outputting the actual measurement data, or a predetermined feature amount extracted from the actual measurement data,
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output unit and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means,
An estimating means for estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means;
A program to function as is provided.

Further, according to the present invention,
Computer
A measurement data acquisition step of acquiring measurement data of current consumption or power consumption measured during operation of one or more electric devices;
An estimation device output step of outputting the actual measurement data, or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output step and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. A teacher data receiving step of receiving
A teacher data storing step of accumulating the teacher data received in the teacher data receiving step,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage step;
An estimation method for performing is provided.

Further, according to the present invention,
Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors,
Teacher data storage means for accumulating, for each of the measurement sensors, teacher data in which identification information of an electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
An estimation unit that estimates the operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage unit for each of the measurement sensors,
An acquisition unit that acquires the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data,
From the teacher data stored in the teacher data storage unit corresponding to the measurement sensor different from the first measurement sensor, the feature amount extracted from the actual measurement data acquired by the acquisition unit matches. Alternatively, teacher data selection means for selecting the teacher data including the feature quantity that is similar to a predetermined level or more,
An output unit that outputs the teacher data selected by the teacher data selection unit to the teacher data storage unit and stores the teacher data in association with the first measurement sensor;
A program to function as is provided.

Further, according to the present invention,
Computer
An actual measurement data acquisition step of acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors;
A teacher data storage step of accumulating teacher data, in which the identification information of the electric device is associated with the characteristic amount included in the measurement data of the current consumption or the power consumption during operation of the electric device, in the storage means for each of the measurement sensors. When,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the storage means for each of the measurement sensors;
An acquisition step of acquiring the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
From the teacher data accumulated corresponding to the measurement sensor different from the first measurement sensor in the storage means, the characteristic amount extracted from the actual measurement data acquired in the acquisition step matches or is predetermined. A teacher data selecting step of selecting the teacher data including the feature quantities that are similar in level or more,
An output step of outputting the teacher data selected in the teacher data selection step toward the storage means and storing the teacher data in association with the first measurement sensor;
An estimation method for performing is provided.

Further, according to the present invention,
Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation,
Teacher data storage means for accumulating teacher data in which identification information of an electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
An estimating means for estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means;
From another estimation device, the actual measurement data, or an acquisition means for acquiring a predetermined feature amount extracted from the actual measurement data,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data obtained by the obtaining means, or a predetermined level or more.
Output means for outputting the teacher data selected by the teacher data selection means toward the other estimation device;
A program to function as is provided.

Further, according to the present invention,
Computer
A measurement data acquisition step of acquiring measurement data of current consumption or power consumption measured during operation of one or more electric devices;
A teacher data storage step of accumulating teacher data in storage means in which identification information of an electric device and a feature amount included in measurement data of current consumption or power consumption while the electric device is operating are associated with each other,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the storage means;
From another estimation device, the measurement data, or an acquisition step of acquiring a predetermined feature amount extracted from the measurement data,
A teacher who selects, from the teacher data accumulated in the storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data obtained in the obtaining step. Data selection process,
An output step of outputting the teacher data selected in the teacher data selection step toward the other estimation device;
An estimation method for performing is provided.

According to the present invention, a new technique for registering teacher data in a technique for estimating the operating state of an electric device to be monitored is realized.

The above-described object, other objects, features and advantages will be further clarified by the preferred embodiments described below and the accompanying drawings.

It is a figure which shows notionally an example of the hardware constitutions of the apparatus of this embodiment. It is a functional block diagram for explaining an example of application of the estimation system of this embodiment. It is a functional block diagram for explaining an example of application of the estimation system of this embodiment. It is an example of a functional block diagram of an estimation device of the present embodiment. It is a figure which shows typically an example of the teacher data accumulate|stored in the estimation apparatus of this embodiment. It is an example of a functional block diagram of the teacher data providing apparatus of the present embodiment. It is a figure which shows typically an example of the teacher data accumulate|stored in the teacher data provision apparatus of this embodiment. It is a flowchart which shows an example of the flow of a process of the teacher data provision apparatus of this embodiment. It is an example of a functional block diagram of a teacher data selection unit of the present embodiment. It is a figure for explaining an example of processing of a similar group specific part and a selection part of this embodiment, and is a figure showing an example of actual measurement data typically. It is a figure for explaining an example of processing of a similar group specific part and a selection part of this embodiment, and is a figure showing an example of teacher data accumulated in a database typically. It is a figure for explaining an example of processing of a similar group specific part and a selection part of this embodiment, and is a figure showing typically an example of time-series data of the difference of the feature quantity of actual measurement data and teacher data. It is a figure for demonstrating the example of a process of the similar group specific|specification part and selection part of this embodiment, and is a figure which shows typically an example of the time-series data of the difference of the measured value and the feature-value of teacher data. It is a figure for demonstrating the example of a process of the similar group specific|specification part and selection part of this embodiment, and is a figure which shows typically an example of the time-series data of the difference of the measured value and the feature-value of teacher data. It is a flow chart which shows an example of a flow of processing of a teacher data selection part of this embodiment. It is a figure which shows typically an example of the similarity information which the teacher data provision apparatus of this embodiment provides. It is a figure which shows typically an example of the similarity information which the teacher data provision apparatus of this embodiment provides. It is a functional block diagram for explaining an example of application of the estimation system of this embodiment. It is an example of a functional block diagram of an estimation device of the present embodiment. It is a functional block diagram for explaining an example of application of the estimation system of this embodiment. It is a functional block diagram for explaining an example of application of the estimation system of this embodiment. It is an example of a functional block diagram of an estimation device of the present embodiment.

First, an example of the hardware configuration of the apparatus (teacher data providing apparatus, estimation apparatus) of this embodiment will be described. Each unit included in the device of the present embodiment includes a CPU (Central Processing Unit) of any computer, a memory, a program loaded in the memory, a storage unit such as a hard disk that stores the program (stored from a stage of shipping the device in advance). In addition to existing programs, it can also store programs downloaded from storage media such as CDs (Compact Discs) and servers on the Internet), and any combination of hardware and software centered on a network connection interface. Will be realized. It will be understood by those skilled in the art that there are various modified examples of the realizing method and the apparatus.

FIG. 1 is a diagram conceptually showing an example of a hardware configuration of a device (teacher data providing device, estimating device) of the present embodiment. As shown in the figure, the device of the present embodiment includes, for example, a CPU 1A, a RAM (Random Access Memory) 2A, a ROM (Read Only Memory) 3A, a communication unit 8A, an auxiliary storage device 9A, etc. which are mutually connected by a bus 10A. Have. The device of the present embodiment may further include the display control unit 4A, the display 5A, the operation receiving unit 6A, the operation unit 7A, and the like. Although not shown, the device of this embodiment may further include other elements such as a microphone and a speaker. Also, some of the illustrated elements may not be included.

The CPU 1A controls the entire computer of the apparatus together with each element. The ROM 3A includes an area for storing programs for operating a computer, various application programs, various setting data used when these programs operate, and the like. The RAM 2A includes an area for temporarily storing data such as a work area for operating a program. The auxiliary storage device 9A is, for example, an HDD (Hard Disk Drive) and can store a large amount of data.

The display 5A is, for example, a display device (LED (Light Emitting Diode) display, liquid crystal display, organic EL (Electro Luminescence) display, or the like). The display 5A may be a touch panel display integrated with a touch pad. The display control unit 4A reads the data stored in the VRAM (Video RAM), performs a predetermined process on the read data, and then sends the data to the display 5A to display various screens. The operation reception unit 6A receives various operations via the operation unit 7A. The operation unit 7A includes operation keys, operation buttons, switches, a jog dial, a touch panel display, a keyboard and the like. The communication unit 8A connects to a network such as the Internet or a LAN (Local Area Network) by wire and/or wirelessly and communicates with other electronic devices. Further, the communication unit 8A can directly connect to another electronic device by wire and/or wirelessly to perform communication.

The present embodiment will be described below. It should be noted that the functional block diagram used in the following description of the embodiments does not show a configuration in hardware units but shows blocks in functional units. In these drawings, each device is described as being realized by one device, but the realizing means is not limited to this. That is, it may have a physically separated structure or a logically separated structure. The same components are designated by the same reference numerals, and the description thereof will be omitted as appropriate.

<First Embodiment>
First, the outline of this embodiment will be described. The estimation system of the present embodiment includes an estimation device that estimates the operating state of an electrical device to be monitored, and a teacher data providing device that provides teacher data to the estimation device.

The estimation device includes “teacher data in which identification information of each monitored electric device is associated with feature amounts included in measurement data (current consumption, power consumption, etc.) when the electric device operates”, and “predetermined position ( Example: The operating state of the electrical equipment to be monitored is estimated based on the measurement data (actual measurement data) of the current consumption or power consumption actually measured by the measurement sensor installed on the distribution board). The electric device to be monitored is one or a plurality of electric devices that are supplied with power on the downstream side of the installation position of the measurement sensor.

The estimation device acquires the teacher data for performing the above estimation process from the teacher data providing device and registers it in the device. Specifically, the estimation device transmits the actual measurement data measured by the measurement sensor or the feature amount extracted from the actual measurement data to the teacher data providing device and requests the teacher data. Then, the estimating device acquires the teacher data transmitted from the teacher data providing device in response to the request and registers the teacher data in the own device. After that, the estimation device estimates the operating state of the monitored electric device by using the teacher data acquired from the teacher data providing device and registered in the own device.

The teacher data providing device stores a plurality of “teacher data in which identification information of each monitored electric device is associated with a characteristic amount included in measurement data (current consumption, power consumption, etc.) during operation”. There is. That is, the teacher data providing device stores teacher data regarding a plurality of electric devices.

Upon receiving the request for the teacher data from the estimation device, the teacher data providing device selects the teacher data including the received feature amount or the feature amount extracted from the received actual measurement data or having a feature amount similar to or higher than a predetermined level. .. Then, the teacher data providing device transmits the selected teacher data to the estimation device.

According to the present embodiment described above, the estimation device can acquire the teacher data of the appropriate electric device (electric device to be monitored) based on the actual measurement data measured by the measurement sensor. As a result, it is possible to reduce the user's burden on preparing teacher data.

Next, an application example of the estimation system of the present embodiment will be described using the functional block diagram of FIG.

The monitoring target 1 is a power consumer who uses a plurality of electric devices (not shown) and is a target for receiving a service for monitoring the operating states of these electric devices. The monitoring target 1 is, for example, one home, one company, one department in the company, one store, one factory, etc., but is not limited to these.

Each of the plurality of monitoring targets 1 manages the router 30, the user terminal 40, the information collecting device 50, and the measurement sensor 60. The device managed by each monitoring target 1, the teacher data providing device 10, and the estimation device 20 are connected to each other via a network 2 such as the Internet, and information can be transmitted and received. In the case of the example, the teacher data providing device 10 and the estimating device 20 are servers.

The measurement sensor 60 is installed at a predetermined position and continuously measures instantaneous waveform data of current consumption or power consumption (waveform data corresponding to the AC frequency) at predetermined time intervals. One measurement sensor 60 may be installed corresponding to one monitoring target 1, or a plurality of measurement sensors 60 may be installed. The measurement sensor 60 may be installed in, for example, a distribution board, and may measure instantaneous waveform data of current consumption or power consumption of the entire monitoring target 1. In addition, the measurement sensor 60 may be installed in each branch of the distribution board and may measure instantaneous waveform data of current consumption or power consumption for each branch. In addition, the measurement sensor 60 may be installed in each of a plurality of outlets, and the instantaneous waveform data of the current consumption or the power consumption may be measured for each outlet. The installation position of the measurement sensor 60 illustrated here is an example, and the present invention is not limited to this.

Hereinafter, the instantaneous waveform data (measurement data) of current consumption or power consumption measured by the measurement sensor 60 will be referred to as “actual measurement data” or “measurement data of current consumption or power consumption”.

The information collecting device 50 acquires time-series actual measurement data measured by the measurement sensor 60. The information collection device 50 transmits all or part of the actual measurement data to the estimation device 20 via the router 30.

In the case of the example in FIG. 2, the estimation device 20 is a server. The estimation device 20 receives actual measurement data from each of the plurality of monitoring targets 1.

The estimation device 20 transmits the received actual measurement data or the feature amount extracted from the actual measurement data to the teacher data providing device 10 to request the teacher data. Then, the teacher data returned from the teacher data providing device 10 is managed for each monitoring target 1.

In addition, the estimation device 20 estimates the operating state of the electric device in each monitoring target 1 based on the teacher data managed for each monitoring target 1 and the actual measurement data received from each monitoring target. Then, the estimation result is transmitted to the user terminal 40, the information collecting device 50, or the like of each monitoring target 1.

The user confirms the operating state (estimation result) of the electric device via the user terminal 40 and the information collecting device 50.

Here, another example of application of the estimation system of the present embodiment will be described using the functional block diagram of FIG.

The example of FIG. 3 differs from the example of FIG. 2 in that the estimation device 20 is provided for each monitoring target 1. In the case of the example in FIG. 3, the estimation device 20 may be physically integrated with the user terminal 40 or the information collection device 50, or may be physically separated. The estimation apparatus 20 of the example is different from the example of FIG. 2 in that it manages only the teacher data of the monitoring target 1 to which the own apparatus belongs and estimates only the operating state of the electric device in the monitoring target 1 to which the own apparatus belongs. The other configurations are the same.

Next, the configuration of the estimation device 20 will be described in detail. FIG. 4 shows an example of a functional block diagram of the estimation device 20. As illustrated, the estimation device 20 includes an actual measurement data acquisition unit 21, an estimation device output unit 22, a teacher data reception unit 23, a teacher data storage unit 24, and an estimation unit 25.

Preparations for estimating the operating state of the electric device, that is, to the teacher data storage unit 24, are performed by the operation of the actual measurement data acquisition unit 21, the estimation device output unit 22, the teacher data reception unit 23, and the teacher data storage unit 24 in cooperation. Teacher data is registered. Then, the measurement data acquisition unit 21, the teacher data storage unit 24, and the estimation unit 25 cooperate with each other to perform a process of estimating the operating state of the electric device.

The actual measurement data acquisition unit 21 acquires actual measurement data of current consumption or power consumption measured while one or more electric devices are operating. The actual measurement data acquisition unit 21 acquires actual measurement data measured by the above-described measurement sensor 60 (see FIGS. 2 and 3).

The estimation device output unit 22 transmits the measurement data acquired by the measurement data acquisition unit 21 or a predetermined feature amount extracted from the measurement data to the teacher data providing device 10 (output).

There are various features extracted from the actual measurement data. For example, the frequency intensity/phase (harmonic component) of the consumption current, the phase, the change in the consumption current, the average value, the peak value, the effective value, the crest factor, the waveform ratio, It may be the convergence time of the current change, the energization time, the peak position, the time difference between the peak position of the power supply voltage and the peak position of the consumption current, the power factor, the instantaneous waveform itself, and the like. It is not limited to the example here. Note that one type of feature amount may be extracted from the actual measurement data, or a plurality of types of feature amount may be extracted.

The teacher data receiving unit 23 returns the “identification information of the electric device and the characteristic amount included in the measurement data (instantaneous waveform data) of the current consumption or the power consumption during the operation of the electric device, which is returned from the teacher data providing device 10. "Teacher data associated with and" is received.

The teacher data storage unit 24 stores the teacher data received by the teacher data receiving unit 23. By storing the teacher data in the teacher data storage unit 24, the teacher data is registered. FIG. 5 schematically shows an example of the teacher data stored in the teacher data storage unit 24. In the illustrated example, the electric device ID (identification) to be monitored is associated with the feature amount included in the measurement data during the operation of each electric device. The electric device ID may be one or a combination of two or more of the model number, model name, maker, and the like.

There may be a plurality of teacher data for each electric device. For example, a power consumption value band (eg, 0 W or more and 1000 W or less) of each electric device is divided into a plurality of groups (eg, 100 W divided into 10 equal parts), and a representative power value (eg, intermediate value) for each group, It is possible to consider a plurality of teacher data in which the characteristic amounts included in the measurement data are associated with each other in each power consumption value band.

The estimation unit 25 estimates the operating states of the plurality of electric devices based on the actual measurement data acquired by the actual measurement data acquisition unit 21 and the teacher data accumulated in the teacher data storage unit 24. As the estimation means by the estimation unit 25, any means according to the conventional technique can be adopted, but an example will be described below.

First, the estimation unit 25 arbitrarily combines a plurality of monitored electric devices and adds up the characteristic amounts included in the teacher data to obtain a characteristic amount included in the measurement data while the plurality of monitored electric devices are in operation. Create teacher data including.

After that, the estimation unit 25 generates an estimation model by machine learning using the teacher data accumulated in the teacher data storage unit 24 and the teacher data created by adding as described above. Then, the estimation unit 25 can obtain the estimation result (the operating state of the electrical device to be monitored) by inputting the feature amount extracted from the actual measurement data into the generated estimation model. The estimation model can use, for example, multiple regression analysis, a neural network, a hidden Markov model, or the like.

The estimation result by the estimation unit 25 is transmitted to the user terminal 40, the information collecting device 50 (see FIGS. 2 and 3), and the like.

Next, the configuration of the teacher data providing device 10 will be described in detail. FIG. 6 shows an example of a functional block diagram of the teacher data providing device 10. As illustrated, the teacher data providing device 10 includes an acquisition unit 11, a teacher data selection unit 12, and an output unit 13. In the case of the present embodiment, the teacher data providing device 10 is a server located on a network such as the Internet, and returns appropriate teacher data in response to a request for teacher data from the estimating device 20.

The acquisition unit 11 acquires actual measurement data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or a predetermined feature amount extracted from the actual measurement data. The acquisition unit 11 of the present embodiment receives the actual measurement data or the characteristic amount from the estimation device 20.

The teacher data selection unit 12 stores a plurality of pieces of teacher data in which identification information of electric devices is associated with feature amounts included in measurement data of current consumption or power consumption while the electric devices are in operation (hereinafter, simply referred to as “ (Referred to as “database”), teacher data including a feature amount that matches or is similar to the feature amount extracted from the actual measurement data by a predetermined level or more is selected.

FIG. 7 schematically shows an example of the teacher data stored in the database. In the illustrated example, the electric device ID (identification) is associated with the characteristic amount included in the measurement data while each electric device is in operation. There may be a plurality of teacher data for each electric device. For example, a power consumption value band (eg, 0 W or more and 1000 W or less) of each electric device is divided into a plurality of groups (eg, 100 W divided into 10 equal parts), and a representative power value (eg, intermediate value) for each group, It is possible to consider a plurality of teacher data in which the characteristic amounts included in the measurement data are associated with each other in each power consumption value band.

It is preferable that the database stores teacher data that covers many, preferably most, and more preferably all of the electric devices distributed in the market.

The teacher data selection unit 12 compares the feature amount extracted from the actual measurement data acquired by the acquisition unit 11 with the feature amount of each of the plurality of teacher data stored in the database, and determines that the features match or are similar to each other at a predetermined level or more. Select the teacher data including the quantity. For example, the difference between the feature amount extracted from the actual measurement data and the feature amount of each of the plurality of teacher data stored in the database by a predetermined calculation method (design matter) (eg, root mean square of difference) May be calculated, and teacher data including a feature amount whose difference is smaller than a predetermined level may be selected.

By the way, the actual measurement data acquired by the acquisition unit 11 may include components of a plurality of electric devices. Therefore, the teacher data selection unit 12 arbitrarily combines the feature amounts of the plurality of teacher data stored in the database and adds them together, and the feature amount extracted from the actual measurement data acquired by the acquisition unit 11. Further comparison may be made. When the added feature amount and the feature amount extracted from the actual measurement data acquired by the acquisition unit 11 match or are similar to each other by a predetermined level or more, the teacher data selection unit 12 determines that a plurality of added feature amounts are included. Of teacher data can be selected. Similarly, when the acquisition unit 11 acquires the characteristic amount, components of a plurality of electric devices may be included. Also in this case, the teacher data can be selected by the processing described above.

When the acquisition unit 11 acquires the actual measurement data, the teacher data selection unit 12 is configured to extract a predetermined feature amount from the actual measurement data.

The output unit 13 outputs the teacher data selected by the teacher data selection unit 12. The output unit 13 of the present embodiment returns the teacher data selected by the teacher data selection unit 12 to the estimation device 20.

Next, an example of the processing flow of the teacher data providing apparatus 10 of the present embodiment will be described using the flowchart of FIG.

First, the acquisition unit 11 estimates the measured data, which is the measured data of the current consumption or the power consumption measured while one or more electric devices are in operation, or the predetermined feature amount extracted from the measured data, the estimation device 20. (S10).

After that, the teacher data selection unit 12 selects from among a database in which a plurality of teacher data in which the identification information of the electric device is associated with the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. , S10 selects teacher data including a feature amount that matches or is similar to the feature amount extracted from the actual measurement data received in S10 (S11).

After that, the output unit 13 returns the teacher data selected by the teacher data selection unit 12 in S11 to the estimation device 20 (S12).

When the teacher data providing apparatus 10 of the present embodiment described above receives a request for teacher data from the estimation apparatus 20 together with the actual measurement data or a predetermined feature amount extracted from the actual measurement data, the teacher data providing apparatus 10 extracts the actual measurement data from the actual measurement data. Teacher data including a feature amount that matches or is similar to the feature amount is returned.

By cooperating with such a teacher data providing apparatus 10, the estimating apparatus 20 of the present embodiment can acquire the teacher data of the monitored electric device based on the actual measurement data acquired from the measurement sensor 60. In the case of the present embodiment, it is not necessary for the user to input the identification information (eg, model number, etc.) of the electric device to be monitored, unlike the prior art. As a result, it is possible to reduce the user's burden on registration of teacher data.

<Second Embodiment>
The present embodiment differs from the first embodiment in the configuration of the teacher data selection unit 12 of the teacher data providing device 10. The other configuration of the teacher data providing device 10 and the configuration of the estimation device 20 are the same as those in the first embodiment.

An example of a functional block diagram of the teacher data providing device 10 of the present embodiment is shown in FIG. 6 as in the first embodiment.

The acquisition unit 11 acquires time-series actual measurement data or time-series characteristic amount data extracted from the time-series actual measurement data. The time interval of time series data is a design matter.

FIG. 9 shows an example of a functional block diagram of the teacher data selection unit 12 of this embodiment. As illustrated, the teacher data selection unit 12 includes a similar group identification unit 14 and a selection unit 15.

The similar group identification unit 14 has a predetermined time (design matter. Example: one hour, one day, one week) extracted from time-series actual measurement data (design matter. Example: Data for one hour worth, one day worth, one week worth) in time series is used as the processing target data. Then, the similar group identifying unit 14 determines, from among the processing target data, a time that matches or is similar to the feature amount included in the first teacher data, which is one of the teacher data stored in the database, by a predetermined level or more. The zone is specified as the first time zone. When the acquisition unit 11 acquires time-series actual measurement data, the similar group identification unit 14 is configured to extract time-series feature amount data from the actual measurement data.

Then, the selection unit 15 selects the first teacher data as the teacher data output by the output unit 13.

In addition, the similar group identification unit 14 identifies the first time zone and then, from the processing target data excluding the first time zone, the feature amount included in the second teacher data different from the first teacher data. Or a time period in which the feature amount included in the first teacher data and a feature amount included in the second teacher data are matched or are similar to or equal to or more than a predetermined level. The zone is specified as the second time zone.

Then, the selection unit 15 selects the second teacher data as the teacher data output by the output unit 13.

In addition, after identifying the Nth time zone, the similar group identification unit 14 selects (N+1)th different from the first to Nth teacher data among the processing target data excluding the first to Nth time zones. Of the teacher data corresponding to or similar to the feature quantity included in the teacher data, or a feature quantity obtained by arbitrarily combining the feature quantities included in the first to Nth teacher data and the (N+1)th feature quantity. A time zone that matches or is similar to the feature quantity that is included in the teacher data and that is equal to or greater than a predetermined level is specified as the (N+1)th time zone.

Then, the selection unit 15 selects the (N+1)th teacher data as the teacher data output by the output unit 13.

Here, a specific example of the above-described processing of the similar group identification unit 14 and the selection unit 15 will be described with reference to FIGS. 10 to 12, but the implementation means is not limited to this.

For example, it is assumed that the similar group identification unit 14 sets the measured data for two hours from 7:00 on July 10, 2015 to 9:00 on July 10, 2015 shown in FIG. 10 as the processing target data. .. From the start point (7:00 on July 10, 2015) to the timing A, the operating state of the monitored electric device group is constant, and the actual measurement data (instantaneous waveform data) during this period are shown in the figure. Similarly, from the timing A to the timing B, from the timing B to the timing C, and from the timing C to the end point (9:00 on July 10, 2015), the operating state of the monitored electric device group. Is constant, and the actual measurement data (instantaneous waveform data) between them are shown in the figure.

FIG. 11 shows a plurality of teacher data stored in the database. In the illustrated example, the model number of the electric device (electric device ID) and the instantaneous waveform data (feature amount) included in the measurement data while each electric device is in operation are registered.

The similar group identification unit 14 extracts, for example, one of the teacher data accumulated in the database, and the difference between the feature amount of the extracted teacher data and the feature amount of each point of the processing target data (example: The root mean square of the difference, etc.) is calculated. As a result, time-series data as shown in FIG. 12 is obtained. 12 is time-series data of the difference between the actual measurement data (processing target data) shown in FIG. 10 and the feature amount of the electric device ID “X32-1819BB” shown in FIG. 11.

When the time series data of the obtained difference includes a time zone having a difference value smaller than a predetermined value, the similar group identification unit 14 identifies the time zone as the first time zone. Then, the selection unit 15 selects the extracted teacher data as the first teacher data. In the case of the example in FIG. 12, the difference from the start point (July 10, 2015 7:00) to the timing A and from the timing C to the end point (July 10, 2015 9:00) are: It is smaller than the predetermined value R. Therefore, the similar group identification unit 14 identifies the time zone as the first time zone. Then, the selection unit 15 selects the teacher data of the extracted electric device ID “X32-1819BB” as the first teacher data.

On the other hand, when there is no time zone in which the difference value is smaller than the predetermined value R, the similar group identification unit 14 newly extracts other teacher data from the database and repeats the same processing.

After specifying the first time period, the similar group specifying unit 14 newly extracts other teacher data from the database. Then, the difference between the feature amount of the extracted teacher data and the feature amount of each point of the processing target data excluding the first time period is calculated. Further, the difference between the feature amount of the extracted teacher data, the feature amount obtained by adding the feature amounts of the first teacher data, and the feature amount of each point of the processing target data excluding the first time period is calculated.

As a result, time-series data as shown in FIGS. 13 and 14 is obtained. FIG. 13 is time-series data of the difference between the actual measurement data (processing target data) shown in FIG. 10 and the feature amount of the electric device ID “AB-3819” shown in FIG. 11. FIG. 14 shows the “measured data (data to be processed) shown in FIG. 10 ”, the characteristic amount of the electric device ID “AB-3819” and the characteristic amount of the electric device ID “X32-1819BB” shown in FIG. 11 (first Is a time-series data of the difference between the “feature amount of the teacher data” and the “feature amount”. It should be noted that the first time period is marked with a cross to clearly indicate that it is not a processing target.

Then, if the obtained time series data of the difference includes a time zone in which the difference value is smaller than the predetermined value R, the similar group identification unit 14 identifies the time zone as the second time zone. Then, the selection unit 15 selects the extracted teacher data as the second teacher data.

In the case of the example in FIG. 13, there is no time zone in which the difference is smaller than the predetermined value R. However, in the case of the example of FIG. 14, the difference from the timing A to the timing B is smaller than the predetermined value R. Therefore, the similar group identification unit 14 identifies timing A to timing B as the second time zone. Then, the selection unit 15 selects the teacher data of the electric device ID “AB-3819” as the second teacher data.

After that, similar processing is repeated until a predetermined timing. For example, "there is no time zone that is not specified in the processing target data", or "the difference is not smaller than the predetermined value R for any of the teacher data that has not been selected as a reply target (that is, to reply). It is not suitable as teacher data)” and similar processing is repeated.

Next, an example of the processing flow of the teacher data selection unit 12 will be described with reference to the flowchart of FIG.

First, the similar group identification unit 14 identifies the time-series feature amount data for a predetermined time as the processing target data (S20).

After that, the similar group identification unit 14 identifies, as the first time zone, a time zone that matches or is similar to a feature amount included in the first teacher data or more than a predetermined level from the processing target data (S21).

Then, the selection unit 15 selects the first teacher data as the teacher data output by the output unit 13 (S22).

After that, the similar group identification unit 14 determines whether a predetermined stop condition is satisfied (S23). The predetermined stop condition is, for example, as described above, ““the unspecified time zone in the data to be processed does not exist”” or “the teacher data not selected as the reply target has the above difference. “It does not become smaller than the value R” is satisfied”. When the predetermined stop condition is satisfied (Yes in S23), the process ends.

When the predetermined stop condition is not satisfied (No in S23), the similar group identification unit 14 determines that “the feature amount of the Nth teacher data not selected in S22” or “the teacher selected in S22 so far”. A time zone that matches or is similar to the feature quantity obtained by adding together the feature quantities of the data and the feature quantity of the Nth teacher data is specified as the Nth time zone. Yes (S24).

Then, the selection unit 15 selects the Nth teacher data as the teacher data output by the output unit 13 (S25). Then, it returns to S23 and repeats the same processing.

According to the present embodiment described above, the same operational effects as those of the first embodiment can be realized.

Further, in the present embodiment, it is possible to process the measured data for a predetermined time at a time and select the teacher data of a plurality of electric devices operating during that time. Therefore, the teacher data can be efficiently registered.

<Third Embodiment>
The output unit 13 of the teacher data providing apparatus 10 according to the present embodiment determines the similarity between the feature amount of the teacher data selected by the teacher data selection unit 12 and the feature amount extracted from the actual measurement data received by the acquisition unit 11. Further output (eg, reply to the estimation device 20).

The output unit 13 further outputs the similarity between the feature amount of the teacher data different from the teacher data selected by the teacher data selection unit 12 and the feature amount extracted from the actual measurement data received by the acquisition unit 11 (example: (Reply to the estimation device 20).

Other configurations of the teacher data providing device 10 are the same as those of the first and second embodiments.

The estimation device 20 differs from the first and second embodiments in that the estimation device 20 receives the similarity from the teacher data providing device 10 and presents it to the user. The other configuration of the estimation device 20 is similar to that of the first and second embodiments. The method of presenting the degree of similarity to the user is not particularly limited, and it can be realized through any output device such as a display, a printer, and a mailer.

The similarity may be, for example, the difference described in the first and second embodiments, or may be another value calculated based on the difference.

FIG. 16 shows an example of the degree of similarity presented to the user. In the case of the example of the figure, the similarity of the feature amount of the teacher data selected by the teacher data selection unit 12 and the feature amount of the other teacher data is shown. The teacher data 1 is the teacher data selected by the teacher data selection unit 12, and the teacher data 2 to 5 are the other teacher data.

As shown in FIG. 17, the reliability of each teacher data may be displayed together with the similarity. Furthermore, a threshold value for determining reliability may be displayed. The reliability is determined based on the degree of similarity. In the example of FIG. 17, the reliability is “low” when the threshold is 1 or less, the reliability is “medium” when the threshold is greater than the threshold 1, and the reliability is “high” when the threshold is greater than the threshold 2.

According to the present embodiment described above, the user confirms the degree of similarity and thereby the reliability of the teacher data automatically selected by the teacher data providing apparatus 10, in other words, the teacher data provided by the teacher data providing apparatus 10. The reliability of the data selection process can be grasped.

When the degree of similarity is low and the reliability is low, the user can perform maintenance such as discarding the teacher data and reacquiring the teacher data of the target electric device. For example, the user may manually register the teacher data of the electric device by using the means disclosed in Japanese Patent No. 4433890.

As shown in FIGS. 16 and 17, by displaying not only the similarity of the feature amount of the teacher data selected by the teacher data selecting unit 12 but also the similarity of the feature amount of other teacher data, Can grasp the reliability of the teacher data automatically selected by the teacher data providing apparatus 10 while comparing with other results.

In addition, as shown in FIG. 17, by displaying the reliability itself determined by a predetermined criterion and a threshold value for determining the reliability together, the user can easily use the teacher data providing device 10 to automatically The reliability of the teacher data selected for can be grasped.

According to the present embodiment described above, with the configurations shown in the first and second embodiments, it is possible to automatically register (register in the estimation device 20) the teacher data of the electrical device to be monitored. Then, as shown in the present embodiment, the information for determining the reliability of the automatically selected teacher data can be provided to the user.

In the case of the present embodiment, the user first automatically registers the teacher data of the electric device to be monitored (registers in the estimation device 20) by using the configurations shown in the first and second embodiments, After that, while confirming the reliability of each teacher data, the teacher data can be registered by a procedure of re-registering some teacher data as necessary. As described above, according to the present embodiment, the burden on the user can be greatly reduced as compared with the related art in which the identification information of each of the electrical devices to be monitored is required to be input.

<Fourth Embodiment>

The present embodiment is different from the first to third embodiments in that the estimation device 20 functions as the teacher data providing device 10. The configurations of the teacher data providing device 10 and the estimation device 20 are similar to those of the first to third embodiments.

The estimation system of this embodiment will be described with reference to the functional block diagram of FIG. As illustrated, the estimation device 20 has the function of the teacher data providing device 10.

In this embodiment, there are a plurality of measurement sensors 60 corresponding to one monitoring target 1. The present embodiment is suitable for a monitoring target 1 (electric power consumer) having a large number of electric devices used, such as one company, one department in the company, one store, one factory, and the like.

The estimation device 20, the user terminal 40, the information collection device 50, and the plurality of measurement sensors 60 are connected as shown in the drawing to send and receive information. The method of connecting the devices is a matter of design.

The plurality of measurement sensors 60 are installed, for example, at each branch of the distribution board. The estimation device 20 registers the teacher data for each measurement sensor 60, and estimates the operating states of the plurality of electric devices for each measurement sensor 60 based on the teacher data and the measurement data acquired from each measurement sensor 60.

In the case of the present embodiment as described above, a large number of electric devices used by one monitoring target 1 can be grouped for each measurement sensor 60, and the operating state of the electric devices can be estimated for each group.

Next, the process in which the estimation device 20 of the present embodiment registers the teacher data for each measurement sensor 60 will be described. For example, the estimation device 20 can acquire the teacher data registered in association with the first measurement sensor 60 from the teacher data registered in association with another measurement sensor 60.

That is, when the estimation device 20 acquires the feature amount (process target feature amount) extracted from the actual measurement data measured by the first measurement sensor 60, the teacher data registered in association with another measurement sensor 60. Is specified, and teacher data including a feature amount that matches or is similar to the process target feature amount by a predetermined level or more is specified. Then, the estimation device 20 registers the identified teacher data in association with the first measurement sensor 60.

FIG. 19 shows an example of a functional block diagram of the estimation device 20 of this embodiment. Each part functions as follows.

The actual measurement data acquisition unit 21 acquires, from each of the plurality of measurement sensors 60, actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation. The teacher data storage unit 24 stores, for each measurement sensor 60, teacher data in which identification information of an electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation. The estimation unit 25 estimates, for each measurement sensor 60, the operating states of a plurality of electric devices based on the actual measurement data acquired by the actual measurement data acquisition unit 21 and the teacher data accumulated in the teacher data storage unit 24.

The acquisition unit 11 acquires from the actual measurement data acquisition unit 21 the actual measurement data measured by the first measurement sensor 60 or the predetermined feature amount extracted from the actual measurement data. The teacher data selection unit 12 is extracted from the actual measurement data acquired by the acquisition unit 11 from the teacher data accumulated in the teacher data storage unit 24 corresponding to the measurement sensor 60 different from the first measurement sensor 60. Teacher data including a feature amount that matches or is similar to the feature amount or more than a predetermined level is selected. The output unit 13 outputs the teacher data selected by the teacher data selection unit 12 to the teacher data storage unit 24, and stores the teacher data in association with the first measurement sensor 60.

According to the present embodiment described above, the same operational effects as those of the first to third embodiments can be realized.

In addition, “the estimation device 20 registers teacher data for each measurement sensor 60, and estimates the operating states of a plurality of electric devices for each measurement sensor 60 based on the teacher data and the measurement data acquired from each measurement sensor 60. In the case of the usage mode "," appropriate teacher data to be registered in association with another measurement sensor 60 is extracted from the teacher data registered in association with a certain measurement sensor 60, and the other measurement is performed. It can be registered in association with the sensor 60. That is, the estimation device 20 can be made to function as a teacher data providing server.

By the way, within a certain monitoring target (eg, one company), electric devices (eg, air conditioners, telephones, copiers, etc.) having the same model number are often used in a plurality of rooms or departments. Therefore, teacher data to be registered in association with each of the plurality of measurement sensors 60 is likely to include common data. Therefore, by acquiring the teacher data registered in association with a certain measurement sensor 60 from the teacher data managed in association with another measurement sensor 60, the teacher data is efficiently collected. , Can be registered.

Further, in the case of this embodiment, it is not necessary to provide a server that functions as the teacher data providing device 10. Therefore, it is possible to reduce the installation load and management load of the server.

<Fifth Embodiment>
The present embodiment is different from the first to third embodiments in that the estimation device 20 functions as the teacher data providing device 10. The configurations of the teacher data providing device 10 and the estimation device 20 are similar to those of the first to third embodiments.

The estimation system of the present embodiment will be described using the functional block diagram of FIG. As illustrated, the estimation device 20 has the function of the teacher data providing device 10.

The estimation device 20, the user terminal 40, the information collection device 50, and the measurement sensor 60 are connected as shown in the drawing to send and receive information. The method of connecting the devices is a matter of design.

Next, a process in which the estimation device 20 according to the present embodiment registers teacher data will be described. The estimation device 20 of the present embodiment can acquire the teacher data from another estimation device 20′ and register it in the own device.

That is, when the estimation device 20 acquires the feature amount (process target feature amount) extracted from the actual measurement data measured by the measurement sensor 60, the estimation device 20 transmits the feature amount to another estimation device 20′. The other estimation device 20′ that has received the processing target feature amount searches the teacher data registered in the own device, and identifies the teacher data that includes the feature amount that matches or is similar to the processing target feature amount by a predetermined level or more. Then, the other estimation device 20 ′ returns the identified teacher data to the estimation device 20. The estimation device 20 registers the received teacher data in its own device. In the case of this example, another estimation device 20′ functions as a teacher data providing server.

FIG. 21 shows a functional block diagram of a modified example of this embodiment. It differs from FIG. 20 in that there is a server functioning as the teacher data providing device 10 on the network. That is, in the case of the modified example, the estimation device 20 can acquire the teacher data to be registered in the own device from either the server or another estimation device 20.

FIG. 22 shows an example of a functional block diagram of the estimation device 20 of this embodiment. Each part functions as follows.

The actual measurement data acquisition unit 21 acquires actual measurement data of current consumption or power consumption measured while one or more electric devices are operating. The teacher data storage unit 24 stores the teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. The estimation unit 25 estimates the operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage unit 24.

The acquisition unit 11 acquires actual measurement data or a predetermined feature amount extracted from the actual measurement data from another estimation device 20. The teacher data selection unit 12 selects, from the teacher data storage unit 24, teacher data including a feature amount that matches or is similar to the feature amount extracted from the actual measurement data acquired by the acquisition unit 11 by a predetermined level or more. The output unit 13 outputs the teacher data selected by the teacher data selection unit 12 to another estimation device 20.

According to the present embodiment described above, the same operational effects as those of the first to third embodiments can be realized.

Further, in the case of the example of FIG. 20, it is not necessary to provide a server that functions as the teacher data providing device 10. Therefore, it is possible to reduce the installation load and management load of the server.

Further, in the case of the example of FIG. 21, the server and the estimation device 20 function as the teacher data providing device 10. Therefore, the processing load on the server can be reduced.

Hereinafter, an example of the reference mode will be additionally described.
1. Measurement data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or an acquisition unit that acquires a predetermined characteristic amount extracted from the measurement data,
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. Teacher data selecting means for selecting the teacher data including the feature quantity that matches or is similar to the feature quantity or is equal to or more than a predetermined level,
Output means for outputting the teacher data selected by the teacher data selecting means,
Apparatus for providing teacher data having a.
2. In the teacher data providing device according to 1,
The acquisition unit acquires the time-series actual measurement data, or the time-series data of the feature amount extracted from the time-series actual measurement data,
The teacher data selection means,
The data of the characteristic amount in time series for a predetermined time extracted from the time-series actual measurement data for a predetermined time is used as processing target data, and coincides with the characteristic amount included in the first teacher data or has a predetermined level or more. A similar group identification means for identifying a similar time zone as the first time zone;
Selecting means for selecting the first teacher data as the teacher data output by the output means;
Apparatus for providing teacher data having a.
3. In the teacher data providing device according to 2,
After identifying the first time zone, the similar group identification means includes the second teacher data different from the first teacher data from the processing target data excluding the first time zone. The time zone that is equal to or is similar to the feature quantity that is equal to or more than a predetermined level, or the feature quantity that is obtained by adding the feature quantity that is included in the first teacher data and the feature quantity that is included in the second teacher data. Specify a time zone that matches or is similar to the specified level as the second time zone,
The teacher data providing device, wherein the selecting means selects the second teacher data as the teacher data output by the output means.
4. In the teacher data providing device according to 3,
After identifying the Nth time zone, the similar group identification means selects (N+1)th different from the first to Nth teacher data from the processing target data excluding the first to Nth time zones. ) A time zone that matches or is similar to the feature quantity included in the teacher data or is equal to or greater than a predetermined level, or the feature quantity that is obtained by arbitrarily combining and adding the feature quantities included in the first to Nth teacher data. And a feature amount included in the (N+1)th teacher data, which is the same as the feature amount or is similar to the feature amount by a predetermined level or more, is specified as the (N+1)th time period,
The selection means is a teacher data providing device that selects the (N+1)th teacher data as the teacher data output by the output means.
5. In the teacher data providing device according to any one of 1 to 4,
The teacher data providing device, wherein the output means further outputs the degree of similarity between the feature quantity included in the teacher data selected by the teacher data selection means and the feature quantity extracted from the actual measurement data.
6. In the teacher data providing device according to 5,
The output means further provides teacher data for further outputting the degree of similarity between the feature quantity included in the teacher data different from the teacher data selected by the teacher data selection means and the feature quantity extracted from the actual measurement data. apparatus.
7. An actual measurement data acquisition unit for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation;
The measurement data, or an estimating device output means for outputting a predetermined feature amount extracted from the measurement data,
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output unit and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means,
An estimating means for estimating operating states of the plurality of electric devices based on the measured data and the teacher data accumulated in the teacher data storage means;
Estimating device having.
8. An estimation system including the teacher data providing device according to any one of 1 to 6 and the estimation device according to 7.
9. Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors,
Teacher data storage means for accumulating, for each of the measurement sensors, teacher data in which identification information of the electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
Estimating means for estimating the operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means for each of the measurement sensors;
An acquisition unit that acquires the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
From the teacher data stored in the teacher data storage unit corresponding to the measurement sensor different from the first measurement sensor, the feature amount extracted from the actual measurement data acquired by the acquisition unit matches. Or teacher data selection means for selecting the teacher data including the feature amount that is similar to a predetermined level or more,
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
Estimating device having.
10. An actual measurement data acquisition unit for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation;
Teacher data storage means for accumulating teacher data in which identification information of an electric device and a characteristic amount included in measurement data of current consumption or power consumption while the electric device is operating are associated with each other,
An estimating means for estimating operating states of the plurality of electric devices based on the measured data and the teacher data accumulated in the teacher data storage means;
From the other estimation device, the measurement data, or an acquisition means for acquiring a predetermined feature amount extracted from the measurement data,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data acquired by the acquisition means, or a predetermined level or more.
Output means for outputting the teacher data selected by the teacher data selection means toward the other estimation device;
An estimation device further comprising:
11. Computer,
Measurement data that is measurement data of current consumption or power consumption measured during operation of one or a plurality of electric devices, or acquisition means for acquiring a predetermined feature amount extracted from the measurement data,
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. Teacher data selecting means for selecting the teacher data including the feature amount that matches the feature amount or is similar to or greater than a predetermined level
Output means for outputting the teacher data selected by the teacher data selection means,
A program to function as.
11-2. In the program described in 11,
The acquisition unit acquires the time-series actual measurement data, or the time-series data of the feature amount extracted from the time-series actual measurement data,
The teacher data selection means,
The data of the characteristic amount in time series for a predetermined time extracted from the time-series actual measurement data for a predetermined time is used as processing target data, and coincides with the characteristic amount included in the first teacher data or has a predetermined level or more. A similar group specifying means for specifying a similar time zone as the first time zone, and
A program that functions as a selection unit that selects the first teacher data as the teacher data output by the output unit.
11-3. In the program described in 11-2,
After identifying the first time zone, the similar group identification means includes the second teacher data different from the first teacher data from the processing target data excluding the first time zone. The time zone that is equal to or is similar to the feature quantity that is equal to or more than a predetermined level, or the feature quantity that is obtained by adding the feature quantity that is included in the first teacher data and the feature quantity that is included in the second teacher data. Specify a time zone that matches or is similar to the specified level as the second time zone,
The selection means is a program for selecting the second teacher data as the teacher data output by the output means.
11-4. In the program described in 11-3,
After identifying the Nth time zone, the similar group identification means selects (N+1)th different from the first to Nth teacher data from the processing target data excluding the first to Nth time zones. ) A time zone that matches or is similar to the feature quantity included in the teacher data or is equal to or greater than a predetermined level, or the feature quantity that is obtained by arbitrarily combining and adding the feature quantities included in the first to Nth teacher data. And a feature amount included in the (N+1)th teacher data, which is the same as the feature amount or is similar to the feature amount by a predetermined level or more, is specified as the (N+1)th time period,
The selection means is a program for selecting the (N+1)th teacher data as the teacher data output by the output means.
11-5. In the program according to any one of 11 to 11-4,
The output means is a program for further outputting the degree of similarity between the feature quantity included in the teacher data selected by the teacher data selection means and the feature quantity extracted from the actual measurement data.
11-6. In the program described in 11-5,
The output means further outputs a similarity between the feature quantity included in the teacher data different from the teacher data selected by the teacher data selection means and the feature quantity extracted from the actual measurement data.
12. Computer
Measurement data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or an acquisition step of acquiring a predetermined feature amount extracted from the measurement data;
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. A teacher data selecting step of selecting the teacher data including the feature quantity that matches the feature quantity or is similar to the feature quantity by a predetermined level or more;
An output step of outputting the teacher data selected in the teacher data selection step;
Method of providing teacher data for executing.
12-2. In the teacher data providing method according to 12,
In the acquisition step, the actual measurement data in time series, or, the data of the characteristic amount in time series extracted from the actual measurement data in time series is acquired,
In the teacher data selection step,
The data of the characteristic amount in time series for a predetermined time extracted from the time-series actual measurement data for a predetermined time is used as processing target data, and coincides with the characteristic amount included in the first teacher data or has a predetermined level or more. A similar group specifying step of specifying a similar time zone as the first time zone;
A selection step of selecting the first teacher data as the teacher data output in the output step;
A method for providing teacher data having a.
12-3. In the teacher data providing method according to 12-2,
In the similar group identification step, after the first time zone is identified, it is included in the second teacher data different from the first teacher data from the processing target data excluding the first time zone. The time zone that is equal to or is similar to the feature quantity that is equal to or more than a predetermined level, or the feature quantity that is obtained by adding the feature quantity that is included in the first teacher data and the feature quantity that is included in the second teacher data. Specify a time zone that matches or is similar to the specified level as the second time zone,
In the selecting step, the teacher data providing method of selecting the second teacher data as the teacher data output in the output step.
12-4. In the teaching data providing method according to 12-3,
In the similar group specifying step, after the Nth time zone is specified, the (N+1)th different from the first to Nth teacher data among the processing target data excluding the first to Nth time zones. ) A time zone that matches or is similar to the feature quantity included in the teacher data or is equal to or greater than a predetermined level, or the feature quantity that is obtained by arbitrarily combining and adding the feature quantities included in the first to Nth teacher data. And a feature amount included in the (N+1)th teacher data, which is the same as the feature amount or is similar to the feature amount by a predetermined level or more, is specified as the (N+1)th time period,
In the selecting step, the teacher data providing method of selecting the (N+1)th teacher data as the teacher data output in the outputting step.
12-5. In the teaching data providing method according to any one of 12 to 12-4,
In the output step, a teacher data providing method further outputting the similarity between the feature quantity included in the teacher data selected in the teacher data selection step and the feature quantity extracted from the actual measurement data.
12-6. In the teacher data providing method according to 12-5,
In the output step, teacher data that further outputs the degree of similarity between the feature quantity included in the teacher data different from the teacher data selected in the teacher data selection step and the feature quantity extracted from the actual measurement data. How to provide.
13. Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation,
Estimation device output means for outputting the actual measurement data, or a predetermined feature amount extracted from the actual measurement data,
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output unit and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means,
An estimating means for estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means;
A program to function as.
14. Computer
A measurement data acquisition step of acquiring measurement data of current consumption or power consumption measured during operation of one or more electric devices;
An estimation device output step of outputting the actual measurement data, or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output step and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. A teacher data receiving step of receiving
A teacher data storing step of accumulating the teacher data received in the teacher data receiving step,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage step;
Estimation method to perform.
15. Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors,
Teacher data storage means for accumulating, for each of the measurement sensors, teacher data in which identification information of an electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
An estimation unit that estimates the operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage unit for each of the measurement sensors,
An acquisition unit that acquires the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data,
From the teacher data stored in the teacher data storage means corresponding to the measurement sensor different from the first measurement sensor, the characteristic amount extracted from the actual measurement data acquired by the acquisition means is matched. Alternatively, teacher data selection means for selecting the teacher data including the feature quantity that is similar to a predetermined level or more,
An output unit that outputs the teacher data selected by the teacher data selection unit to the teacher data storage unit and stores the teacher data in association with the first measurement sensor;
A program to function as.
16. Computer
An actual measurement data acquisition step of acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors;
A teacher data storage step of accumulating teacher data, in which the identification information of the electric device is associated with the characteristic amount included in the measurement data of the current consumption or the power consumption during operation of the electric device, in the storage means for each of the measurement sensors. When,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the storage means for each of the measurement sensors;
An acquisition step of acquiring the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
From the teacher data accumulated corresponding to the measurement sensor different from the first measurement sensor in the storage means, the characteristic amount extracted from the actual measurement data acquired in the acquisition step matches or is predetermined. A teacher data selecting step of selecting the teacher data including the feature quantities that are similar in level or more,
An output step of outputting the teacher data selected in the teacher data selection step toward the storage means and storing the teacher data in association with the first measurement sensor;
Estimation method to perform.
17. Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation,
Teacher data storage means for accumulating teacher data in which identification information of an electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
An estimating means for estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means;
From another estimation device, the actual measurement data, or an acquisition means for acquiring a predetermined feature amount extracted from the actual measurement data,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data acquired by the acquisition means by a predetermined level or more,
Output means for outputting the teacher data selected by the teacher data selection means toward the other estimation device;
A program to function as.
18. Computer
An actual measurement data acquisition step of acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation;
A teacher data storage step of accumulating teacher data in storage means in which identification information of an electric device and a feature amount included in measurement data of current consumption or power consumption while the electric device is operating are associated with each other,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the storage means;
From the other estimation device, the measurement data, or an acquisition step of acquiring a predetermined feature amount extracted from the measurement data,
A teacher who selects, from the teacher data accumulated in the storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data acquired in the acquisition step by a predetermined level or more. Data selection process,
An output step of outputting the teacher data selected in the teacher data selection step toward the other estimation device;
Estimation method to perform.

This application claims the priority on the basis of Japanese application Japanese Patent Application No. 2005-183706 for which it applied on September 17, 2015, and takes in those the indications of all here.

Claims (18)

Measurement data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or an acquisition unit that acquires a predetermined characteristic amount extracted from the measurement data,
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. Teacher data selecting means for selecting the teacher data including the feature quantity that matches or is similar to the feature quantity or is equal to or more than a predetermined level,
Output means for outputting the teacher data selected by the teacher data selecting means,
Apparatus for providing teacher data having a. The teacher data providing device according to claim 1,
The acquisition unit acquires the time-series actual measurement data, or the time-series data of the feature amount extracted from the time-series actual measurement data,
The teacher data selection means,
The data of the characteristic amount in time series for a predetermined time extracted from the time-series actual measurement data for a predetermined time is used as processing target data, and coincides with the characteristic amount included in the first teacher data or has a predetermined level or more. A similar group identification means for identifying a similar time zone as the first time zone;
Selecting means for selecting the first teacher data as the teacher data output by the output means;
Apparatus for providing teacher data having a. The teacher data providing device according to claim 2,
After identifying the first time zone, the similar group identification means includes the second teacher data different from the first teacher data from the processing target data excluding the first time zone. The time zone that is equal to or is similar to the feature quantity that is equal to or more than a predetermined level, or the feature quantity that is obtained by adding the feature quantity that is included in the first teacher data and the feature quantity that is included in the second teacher data. Specify a time zone that matches or is similar to the specified level as the second time zone,
The teacher data providing device, wherein the selecting means selects the second teacher data as the teacher data output by the output means. The teacher data providing device according to claim 3,
After identifying the Nth time zone, the similar group identification means selects (N+1)th different from the first to Nth teacher data from the processing target data excluding the first to Nth time zones. ) A time zone that matches or is similar to the feature quantity included in the teacher data or is equal to or greater than a predetermined level, or the feature quantity that is obtained by arbitrarily combining and adding the feature quantities included in the first to Nth teacher data. And a feature amount included in the (N+1)th teacher data, which is the same as the feature amount or is similar to the feature amount by a predetermined level or more, is specified as the (N+1)th time period,
The selection means is a teacher data providing device that selects the (N+1)th teacher data as the teacher data output by the output means. The teacher data providing device according to any one of claims 1 to 4,
The teacher data providing device, wherein the output means further outputs the degree of similarity between the feature quantity included in the teacher data selected by the teacher data selection means and the feature quantity extracted from the actual measurement data. The teacher data providing device according to claim 5,
The output means further provides teacher data for further outputting the degree of similarity between the feature quantity included in the teacher data different from the teacher data selected by the teacher data selection means and the feature quantity extracted from the actual measurement data. apparatus. An actual measurement data acquisition unit for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation;
The measurement data, or an estimating device output means for outputting a predetermined feature amount extracted from the measurement data,
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output unit and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means,
An estimating means for estimating operating states of the plurality of electric devices based on the measured data and the teacher data accumulated in the teacher data storage means;
Estimating device having. The teacher data providing device according to any one of claims 1 to 6,
An estimation device according to claim 7;
Estimation system with. Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors,
Teacher data storage means for accumulating, for each of the measurement sensors, teacher data in which identification information of the electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
Estimating means for estimating the operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means for each of the measurement sensors;
An acquisition unit that acquires the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
From the teacher data stored in the teacher data storage unit corresponding to the measurement sensor different from the first measurement sensor, the feature amount extracted from the actual measurement data acquired by the acquisition unit matches. Or teacher data selection means for selecting the teacher data including the feature amount that is similar to a predetermined level or more,
Output means for outputting the teacher data selected by the teacher data selection means to the teacher data storage means and storing the teacher data in association with the first measurement sensor;
Estimating device having. An actual measurement data acquisition unit for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation;
Teacher data storage means for accumulating teacher data in which identification information of an electric device and a characteristic amount included in measurement data of current consumption or power consumption while the electric device is operating are associated with each other,
An estimating means for estimating operating states of the plurality of electric devices based on the measured data and the teacher data accumulated in the teacher data storage means;
From the other estimation device, the measurement data, or an acquisition means for acquiring a predetermined feature amount extracted from the measurement data,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data acquired by the acquisition means, or a predetermined level or more.
Output means for outputting the teacher data selected by the teacher data selection means toward the other estimation device;
An estimation device further comprising: Computer,
Measurement data that is measurement data of current consumption or power consumption measured during operation of one or a plurality of electric devices, or acquisition means for acquiring a predetermined feature amount extracted from the measurement data,
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. Teacher data selecting means for selecting the teacher data including the feature amount that matches the feature amount or is similar to or greater than a predetermined level.
Output means for outputting the teacher data selected by the teacher data selection means,
A program to function as. Computer
Measurement data that is measurement data of current consumption or power consumption measured during operation of one or more electric devices, or an acquisition step of acquiring a predetermined feature amount extracted from the measurement data;
Extracted from the actual measurement data from a database that stores a plurality of pieces of teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption while the electric device is operating are associated with each other. A teacher data selecting step of selecting the teacher data including the feature quantity that matches the feature quantity or is similar to the feature quantity by a predetermined level or more;
An output step of outputting the teacher data selected in the teacher data selection step;
Method of providing teacher data for executing. Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation,
Estimation device output means for outputting the actual measurement data, or a predetermined feature amount extracted from the actual measurement data,
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output unit and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. Teacher data receiving means for receiving
Teacher data storage means for accumulating the teacher data received by the teacher data receiving means,
An estimating means for estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means;
A program to function as. Computer
A measurement data acquisition step of acquiring measurement data of current consumption or power consumption measured during operation of one or more electric devices;
An estimation device output step of outputting the actual measurement data, or a predetermined feature amount extracted from the actual measurement data;
Teacher data in which identification information of an electric device returned in response to the output by the estimation device output step and the characteristic amount included in measurement data of current consumption or power consumption during operation of the electric device are associated with each other. A teacher data receiving step of receiving
A teacher data storing step of accumulating the teacher data received in the teacher data receiving step,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage step;
Estimation method to perform. Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors,
Teacher data storage means for accumulating, for each of the measurement sensors, teacher data in which identification information of an electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
An estimation unit that estimates the operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage unit for each of the measurement sensors,
An acquisition unit that acquires the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data,
From the teacher data stored in the teacher data storage unit corresponding to the measurement sensor different from the first measurement sensor, the feature amount extracted from the actual measurement data acquired by the acquisition unit matches. Alternatively, teacher data selection means for selecting the teacher data including the feature quantity that is similar to a predetermined level or more,
An output unit that outputs the teacher data selected by the teacher data selection unit to the teacher data storage unit and stores the teacher data in association with the first measurement sensor;
A program to function as. Computer
An actual measurement data acquisition step of acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are operating from a plurality of measurement sensors;
A teacher data storage step of accumulating teacher data, in which the identification information of the electric device is associated with the characteristic amount included in the measurement data of the current consumption or the power consumption during operation of the electric device, in the storage means for each of the measurement sensors. When,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the storage means for each of the measurement sensors;
An acquisition step of acquiring the actual measurement data measured by the first measurement sensor, or a predetermined feature amount extracted from the actual measurement data;
From the teacher data accumulated corresponding to the measurement sensor different from the first measurement sensor in the storage means, the characteristic amount extracted from the actual measurement data acquired in the acquisition step matches or is predetermined. A teacher data selecting step of selecting the teacher data including the feature quantities that are similar in level or more,
An output step of outputting the teacher data selected in the teacher data selection step toward the storage means and storing the teacher data in association with the first measurement sensor;
Estimation method to perform. Computer,
Actual measurement data acquisition means for acquiring actual measurement data of current consumption or power consumption measured while one or more electric devices are in operation,
Teacher data storage means for accumulating teacher data in which identification information of an electric device is associated with a characteristic amount included in measurement data of current consumption or power consumption while the electric device is in operation,
An estimating means for estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the teacher data storage means;
From another estimation device, the actual measurement data, or an acquisition means for acquiring a predetermined feature amount extracted from the actual measurement data,
Teacher data selection means for selecting, from the teacher data storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data obtained by the obtaining means, or a predetermined level or more.
Output means for outputting the teacher data selected by the teacher data selection means toward the other estimation device;
A program to function as. Computer
A measurement data acquisition step of acquiring measurement data of current consumption or power consumption measured during operation of one or more electric devices;
A teacher data storage step of storing in the storage means teacher data in which the identification information of the electric device and the feature amount included in the measurement data of the current consumption or the power consumption during the operation of the electric device are associated with each other,
An estimation step of estimating operating states of the plurality of electric devices based on the actual measurement data and the teacher data accumulated in the storage means;
From another estimation device, the measurement data, or an acquisition step of acquiring a predetermined feature amount extracted from the measurement data,
A teacher who selects, from the teacher data accumulated in the storage means, the teacher data including the feature quantity that matches or is similar to the feature quantity extracted from the actual measurement data obtained in the obtaining step. Data selection process,
An output step of outputting the teacher data selected in the teacher data selection step toward the other estimation device;
Estimation method to perform.

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