JP2003316922A - Energy information analyzing method, energy information analyzing device, and energy information analyzing system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To enable analysis useful to save energy by collecting the energy used per each energy consumption equipment of each user. <P>SOLUTION: A user side processor 23 collects operating condition, setting information of each energy consumption product used by a user and energy consumption per each product, and outputs them to a service business side processor 30 through a network. The service business side processor 30 is provided with data bases 31 and 33 for previously storing characteristic of the energy consumption products as the products information and the number of family member and environment of the user as the family attribution information. Operating condition and setting information of each energy consumption product and energy consumption per each product supplied from the user side processor 23 are input to the service business side processor, and data is collected on the basis of the input information and the information stored in the data bases 31 and 33 to generate the collection information, and energy using condition of a user is analyzed for presentation on the basis of the collection information. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an energy information analysis method, an energy information analysis device, and an energy information analysis system which provide analysis information based on energy usage on the side of a consumer to achieve energy saving.

[0002]

2. Description of the Related Art It is important from the viewpoint of energy saving to grasp and analyze the amount of energy consumption, especially the amount of electric power consumption, in each home, business establishment, commercial building and the like.

Up to now, although the total amount of electricity used by each household on the consumer side can be grasped, it has not been grasped how electricity is used. For example, it was impossible to understand which home appliances were used at what settings and when. In other to use time and setting of any consumer electronics product for that, it has been difficult to determine whether the energy can be saved.

[0004] In addition, the electric power company on the supplier side is required to improve the accuracy of demand forecast of electric power which influences the profit, but it is not possible to grasp which electric home appliances consume and how much electric power is consumed. It was necessary to generate extra power to avoid unstable power supply.

[0005]

As described above, in the past, it was not executed to collect and analyze the energy consumption amount of each energy consuming device of each consumer, so that the power consumption amount is wasted. Also, since the energy supply side is also performing power generation in accordance with the maximum demand, excessive supply of electric power is being performed, which causes a problem of being against energy conservation.

[0006] Furthermore, even consumer electronics manufacturers who are suppliers of energy consuming equipment have not been able to accurately grasp the tendency of consumers to use the equipment.

The present invention has been made in view of the above circumstances, and an object thereof is to collect the amount of energy used for each energy consuming device of each consumer, and to perform an analysis useful for energy saving and an analysis of device usage tendency. An object is to provide an energy information analysis method, an energy information analysis device, and an energy information analysis system that enable it.

[0008]

In order to achieve the above-mentioned object, the invention of claim 1 uses the characteristics of the energy consuming product provided on the energy consumer side as product information, and the number of households on the consumer side and While inputting the usage environment etc. as household attribute information and accumulating as a database,
The operating status of each energy consuming product, setting information, and the amount of consumption of each product are collected as collected information, and data is aggregated based on these collected information and the accumulated information in the database to generate aggregate information, It is an energy information analysis method characterized by analyzing and presenting the energy use status of a consumer from the aggregated information.

According to the invention of claim 2, in the energy information analysis method according to claim 1, when analyzing and presenting the energy use status of the consumer from the aggregated information, the consumer and the life to be analyzed are presented. It is characterized in that other consumers who have similar patterns and behaviors, or other consumers who use energy consuming products having similar characteristics are presented as comparison targets.

According to the invention of claim 3, a database for accumulating the characteristics of energy consuming products provided on the energy consumer side as product information and a household number and usage environment on the consumer side as household attribute information, and Collection means for collecting operating status of energy consuming products, setting information, and consumption amount of each product as collected information, and collecting data based on the collected information and accumulated information in the database to generate total information. In addition, the energy information analysis device is provided with a totalization processing unit that analyzes and presents the energy usage status of the consumer from the totalized information.

According to a fourth aspect of the present invention, in the energy information analyzing apparatus according to the third aspect, when analyzing and presenting the energy usage status of the consumer from the aggregated information, the consumer and the life to be analyzed are presented. It is characterized in that other consumers who have similar patterns and behaviors, or other consumers who use energy consuming products having similar characteristics are presented as comparison targets.

According to a fifth aspect of the present invention, the consumer side processing device provided on the energy consumer side and the service provider side processing device are connected by a network, and the consumer side processing device is on the consumer side. Collection means for collecting the operating status of each energy consuming product used, setting information, and the amount of consumption for each product as collection information, and an output means for outputting this collection information to the service provider side processing device via the network. And a database that stores the characteristics of the energy consuming product as product information, and the number of households on the consumer side, the usage environment, and the like as household attribute information, and the consumer side. Input means for inputting the operating status of each energy consuming product supplied from the processor, setting information, and consumption amount by product as collected information, and Data is aggregated based on the collected information and the accumulated information in the database to generate aggregated information, and aggregate processing means for analyzing and presenting the energy usage status of the consumer from the aggregated information is provided. This is an energy information analysis system.

According to a sixth aspect of the present invention, in the energy information analysis system according to the fifth aspect, when the aggregation processing means analyzes and presents the energy usage status of the consumer from the aggregation information, the analysis target is presented. The present invention is characterized in that other consumers having similar lifestyles and behaviors to other consumers or other consumers using energy consuming products having similar characteristics are presented for comparison.

According to the above configuration, for example, when the power consumption of a home is targeted, it becomes possible to analyze the power consumption directly connected to energy saving. For example, analysis based on the usage status of home appliances such as high power consumption because the set temperature of the air conditioner is too high, or high power consumption due to old model, and lifestyle analysis, such as waking up at night. Therefore, it is possible to analyze that the electric power consumption is large and the electric power consumption is large because the heating appliances are used for 24 hours. in this case,
Analysis can be performed from various angles. For example, it is possible to grasp the electric power usage status by collecting the electric power consumption amount for each household electric appliance of each home and comparing it with the family structure of the home and the average electric consumption amount of similar households. For example,
In a house with the same floor plan, you can tell how electricity is used at the same time, what is different from your own house, and what kind of electricity usage tends to be used. . This makes it possible to provide information useful for energy saving.

[0015]

1 is a block diagram showing an embodiment of an energy information analysis system according to the present invention.

As shown in the figure, in the energy information analysis system 1, the service provider 200 aggregates the power usage status of the demander 100 to create aggregated data and provides it to the supplier 300 and the consultant 400. At the same time, the power consumption analysis information analyzed based on the aggregated data is supplied to the consumer 100 side. The weather data provided by the weather company 500 is referred to for the analysis of the service provider 200.

The consumers 100 are assumed to be ordinary households in this embodiment, and each consumer 100 is provided with a home network 11. The home network 11 includes a refrigerator 13, a TV 15 and a cooler 1.
7, intelligent electric home appliances such as a microwave oven 19 and an electromagnetic cooker 21 and a consumer-side processing device 23 for centrally managing these electric home appliances are connected. The consumer-side processing device 23 includes a WHM server 25 that collects and manages the amount of power used by each home electric appliance. In addition, each home electric appliance such as the refrigerator 13, the TV 15, the cooler 17, the microwave oven 19, and the electromagnetic cooker 21 has a unique ID and address. The set temperature) and the like are supplied to the consumer side processing device 23. When the customer 100 uses not only electric power but also energy sources such as gas and kerosene, an energy collecting device for collecting the usage status of these energy sources should be installed separately from the WHM server 25. Good. Also in this case, the gas stove, the stove, and the like are managed with unique IDs and addresses, and the collected data such as the amount of gas used is supplied to the service provider 200.

The service provider 200 includes a service provider side processing device 30. This service provider side processing device 30 is a household database 3 as a database.
1, a household appliance information database 33 for each household, a power usage record database 35 for each household, and a power usage record file 37, and these databases 31 to 31.
7, a registration / retrieval unit 39 for executing data registration and retrieval, and an aggregate processing unit 41 for producing aggregate data based on these databases 31 to 37.

As shown in FIG. 3, the household database 31 has a WHM server ID, a household name, an address, the number of households, and household member information (gender, age, occupation, etc.).
And each item for storing housing information and the like.

The household electric appliance information database 33 is shown in FIG.
As shown in, each home electric device unit (lighting, air conditioner, TV, personal computer, etc.) for each WHM server ID of each household,
Manufacturer's name, model number, year, rated power, setting room condition of the home appliances (room name such as living room, kitchen, master bedroom, children's room, guest room, bath room, facing south, facing west, facing windows, etc. , The area of a room, etc.) and the like.

The electric power usage record database 35 for each household is
As shown in FIG. 5, household electric appliance units (lighting, air conditioner, TV, personal computer, etc.) for each WHM server ID of each household
In addition, the manufacturer name, the setting room, the power consumption per hour, the setting conditions such as the set temperature in the case of an air conditioner, etc. .

As shown in FIG. 6, the electric power usage record file 37 is classified by household type (for example, characteristic of household such as double-income household or elderly household, number of households, condominium or single house, and number of floor plans). Etc.), setting conditions such as power consumption (Wh) per hour, set temperature, etc. for each home electric appliance,
It is composed of each item that stores the total power consumption and the like for 24 hours.

The supplier 300 is supposed to be an electric power company, a home electric appliance supplier, etc., and inputs the aggregate data supplied from the service provider, and the aggregate data is used as a reference material for power demand forecasting, price setting of home electric appliances and the like. To use.

The consultant company 400 inputs the aggregated data supplied from the service provider and executes the energy saving consultant based on this aggregated data.

The meteorological company 500 supplies weather information such as weather, temperature and humidity for each time zone for each area.
It is used when the household-specific power usage record database 35 is generated.

Next, the operation of this embodiment will be systematically described by dividing it into registration processing, measurement processing, and search processing with reference to the flowchart of FIG.

<Registration Processing> When the consumer 100 inputs various information using the consumer side processing device 23 (step S1), the input information is supplied to the service provider side processing device 30 via the network. The registration / search unit 39
The information registration process is executed by (step S3).
In this case, family composition, address, housing information, WHM server I
D and the like are registered in the household database 31, and home appliance information and home appliance installation locations are registered in the household-specific home appliance information database 33 (steps S5 and S7). The above registration process should be executed in advance as a preparatory stage for system operation. An example of the household database 31 and the household electric appliance information database 33 is as illustrated in FIGS. 3 and 4.

<Measurement process> On the other hand, the amount of power used and the set amount data are W from each home electric appliance via the home network.
It is supplied to the HM server 25. In the consumer side processing device 23, the service provider 20 stores the collected operation status of each home electric appliance and the setting information power consumption by product via the network.
0 to the processing device 30 (step S11).

Registration / registration on the side of the processing unit 30 of the service provider
In the search unit 39, the household database 3 obtains information such as the operating status of each supplied home electric appliance, setting information, and power consumption by product.
Refer to 1 to organize into hourly, household appliances, power consumption, hourly temperature and humidity, etc., and household power consumption record database 35.
(Step S15). In addition, in creating the electric power usage record database 35 for each household, the regional weather data supplied from the weather company 500 is also registered. An example of the electric power usage record database 35 for each household is as illustrated in FIG.

Further, the totalization processing by the totalization processing unit 41 creates the electric power use actualization total file 37 as shown in FIG. 6 based on the household electric power actual use data 35 (step S17).

<Search Processing> When a search condition is input from the consumer side processing device 23 together with a usage status search request, the request and the search condition are supplied to the service provider side processing device 30 via the network and registered. The information search process is executed by the search unit 39. When the household is inquired about the household, the electric power use record database 35 and the electric power use record total file 37 for each household are searched, and corresponding data is extracted (step S23). The extracted search result is output to the consumer 100 side and displayed on the screen on the consumer side processing device 23 (step S25).

On the other hand, suppliers 3 such as electric power companies and home electric appliances manufacturers
When there is a search request from 00, the registration / search unit 3
After determining the availability, 9 searches the power usage record tabulation file 37 based on the search condition input together with the search request, extracts the relevant data, and outputs the data to the researcher for display (steps S27 to S31). .

Next, this search processing will be described in detail using a specific example.

For example, in the case of retrieving the amount of power consumption for one month, the customer uses the utilization status retrieval screen as shown in FIG. 9 to make inquiry items (period for inquiring the amount of power consumption),
Comparison (In self-comparison, year-on-year comparison, month-on-month comparison, etc.
When comparing other households, enter what kind of household data to compare). This input data is output to the service provider side processing device 30 via the network. The processing device 30 searches the household power consumption record data 35 based on this data. In this database 35,
As shown in FIG. 5, since the power consumption data of each home electric appliance in each time zone is stored for each WHM server, a search screen of the usage record is created based on this database 35.

FIG. 10 (A) shows the transition of the amount of electric power used for one month at the “Kengo Ejiri” house and the transition of the average amount of electric power consumed by ordinary households. If you select the refined search in this state, for example, if you want to compare it with the transition of the power consumption of the same household that has two coolers on March 5, it is shown in the same figure (B). A comparison graph that looks like this is displayed. At “Kengo Ejiri” home, it is possible to grasp the characteristics of own power consumption by comparing with the transition of the power consumption of similar households, which can be useful for energy saving.

On the other hand, as shown in FIG. 11, as a result of displaying the transition of the electric power consumption amount of the "Kengo Ejiri" house in March, the retrieval result that the energy consumption amount is higher than the average throughout the March is displayed. In this case, it is possible to investigate the cause of the large amount of energy used.

In this process, as shown in FIG.
If you select the narrowed search, for example, if you want to compare with the transition of the electric power consumption of the same household that has two coolers on March 5, you can compare it as shown in Fig. 12 (A). The graph is displayed. When you compare and display the transition of the electric power consumption of the same household as the “Ejiri Kengo” home,
It can be seen that the air conditioner continues to be used even at night. Also, when the set temperature of the air conditioner at that time was searched for and displayed by narrowing search, it was found that the set temperature was lower than the average, as shown in FIG. I know there is.
In this way, it is possible to grasp the characteristics of one's lifestyle and power consumption, and it is possible to make use of energy saving.

On the other hand, as shown in FIG. 13 (A), the air conditioner continues to be used even at night, but as shown in FIG. 13 (B), the search results show that the set temperatures are the same. When it is obtained, the search is further narrowed down, the model of the equipment used is searched and displayed. As a result, as shown in FIG. 6C, it is found that the model is older than the general average, and thus the power consumption is large.

As described above, according to this embodiment, when the power consumption of a home is targeted, it is possible to analyze the power consumption directly connected to energy saving. For example, analysis based on the usage status of home appliances such as high power consumption because the set temperature of the air conditioner is too high, or high power consumption due to old model, and lifestyle analysis, such as waking up at night. Therefore, it is possible to analyze that the electric power consumption is large and the electric power consumption is large because the heating appliances are used for 24 hours. In this case, it is possible to analyze with various cuts. For example, it is possible to grasp the electric power usage status by collecting the electric power consumption amount for each household electric appliance of each home and comparing it with the family structure of the home and the average electric consumption amount of similar households.
For example, in a house with the same floor plan, let us know how electricity is used in the same time zone, what is different from your own home, and what kind of electricity you tend to use. You can This makes it possible to provide information useful for energy saving.

<Analysis Example> FIGS. 14 to 17 show typical analysis examples.

The analysis example shown in FIG. 11 shows a prediction of energy consumption associated with future comfort-orientedness. from now on,
This is a predictive analysis of how energy changes in each household when the comfort orientation increases, and shows the prediction of energy consumption in comparison with the current situation when air conditioning becomes popular for the next 24 hours. There is.

The analysis example shown in FIG. 15 shows the energy reduction effect when an energy-saving device is used, in comparison with the current state.

As shown in FIGS. 14 and 15,
Since the service provider side processing device 30 grasps the energy consumption tendency for each application and device, it is possible to analyze how a particular application affects.

To analyze the present state of energy and forecast the future,
For example, as shown in FIG. 16, it is necessary to analyze by the formula of household × unit energy amount, but in this embodiment, since energy is grasped by household and by use, more accurate analysis can be performed. It will be possible.

The analysis example shown in FIG. 17 is an example in which the amount of gas or the like used in addition to the amount of electric power is also included. When the energy consumption is grasped every hour, there are three time zones, morning, day and night. When there is a high demand for hot water supply and when the energy consumer side and the supplier are close in distance, it is possible to accurately supply heat to the consumer side by grasping the surplus exhaust heat information on the supplier side. You can

As described above, according to this embodiment, the electric power consumption for each household electric appliance in each home is collected, and the electric power consumption is compared by comparing the electric power consumption with the family structure of the household and the average consumption of similar households. It is possible to grasp the usage status of, and thus achieve energy saving.

Moreover, since the power consumption for each home electric appliance can be grasped on the side of the supplier such as the electric power company or the home electric appliance maker, the usage situation including the setting due to the temperature and humidity change can be concretely understood, so Prediction accuracy is improved.

Further, with the liberalization of electric power in the future, it becomes possible to set prices on the premise of restrictions on the use of home electric appliances.

In the above embodiments, the power consumption in the home is assumed, but the power consumption is not limited to the home, and the power consumption in a factory, an office, a commercial building, etc. may be analyzed. It is possible. In addition, energy is not limited to electric power, other energy such as gas and kerosene,
Various energy sources such as a combination of electric power energy, gas energy and kerosene energy can be considered.

[0050]

As described above, according to the present invention, since it is possible to perform a detailed analysis of the energy usage situation on the side of the consumer, it is possible to provide energy saving. Further, on the energy supplier side as well, it is possible to obtain an accurate energy demand forecast by obtaining analysis data of the energy usage state and avoid unnecessary supply, so that energy saving can be achieved. Further, for energy equipment manufacturers and the like, analysis data of consumers can be used as a basis for price setting of equipment and the like.

[Brief description of drawings]

FIG. 1 is a configuration diagram showing an embodiment of an energy information analysis system according to the present invention.

FIG. 2 is a flowchart showing a processing procedure of the energy information analysis system according to the present invention.

FIG. 3 is an explanatory diagram showing a configuration example of a household database.

FIG. 4 is an explanatory diagram showing a configuration example of a household appliance information database for each household.

FIG. 5 is an explanatory diagram showing a configuration example of a power usage record database for each household.

FIG. 6 is an explanatory diagram showing a configuration example of a power usage record total file.

FIG. 7 is an explanatory diagram showing an example of an input screen.

FIG. 8 is an explanatory diagram showing an example of an action status input screen.

FIG. 9 is an explanatory diagram illustrating an example of a usage status search screen.

FIG. 10 is an explanatory diagram showing an example of a search result screen.

FIG. 11 is an explanatory diagram showing an example of a search result screen.

FIG. 12 is an explanatory diagram showing an example of a search result screen.

FIG. 13 is an explanatory diagram showing an example of a search result screen.

FIG. 14 is a graph showing an example of analysis and a prediction of energy consumption accompanying future comfort orientation.

FIG. 15 is a graph showing an analysis example and showing an energy reduction effect by using an energy-saving device.

FIG. 16 is an explanatory diagram showing an analysis example and showing an energy present state analysis and a future prediction.

FIG. 17 is an explanatory diagram showing an example of analysis.

[Explanation of symbols]

1 Energy information analysis system 11 Home network 23 Consumer side processing device 25 WHM server 30 Service provider side processing device 31 household database 33 Home Appliance Information Database by Household 35 Electricity Usage Database by Household 37 Power usage record file 39 Registration / Search Department 41 Aggregation processing unit 100 consumers 200 service providers 300 suppliers 400 consultants 500 Meteorological company

Claims (6)

[Claims] 1. The characteristics of an energy consuming product provided on the energy consumer side are input as product information, and the number of households and usage environment on the consumer side are input as household attribute information, which are accumulated as a database. The operation status of energy consuming products, setting information, and consumption amount by product are collected as collection information, and based on these collection information and accumulated information in the database, data is aggregated to generate aggregate information,
An energy information analysis method characterized by analyzing and presenting the energy usage status of consumers based on aggregated information. 2. The energy information analysis method according to claim 1, wherein when analyzing and presenting the energy usage status of the consumer from the aggregated information, the consumer to be analyzed and the lifestyle and behavior are An energy information analysis method, wherein other similar consumers or other consumers who use energy consuming products having similar characteristics are presented for comparison. 3. A database for accumulating characteristics of energy consuming products provided on the energy consumer side as product information and household attribute information such as the number of households and usage environment on the consumer side, and the operation of each energy consuming product. Collecting means that collects the situation, setting information, and consumption amount of each product as collected information, and collects data based on the collected information and the accumulated information in the database to generate aggregated information.
An energy information analysis device comprising: a totalization processing unit that analyzes and presents the energy usage status of a consumer from the totalized information. 4. The energy information analyzing apparatus according to claim 3, wherein when analyzing and presenting the energy usage status of the consumer from the aggregated information, the consumer to be analyzed and the lifestyle and behavior are An energy information analysis device, which presents another similar consumer or another consumer who uses an energy consuming product having similar characteristics as a comparison target. 5. A consumer-side processing device provided on the energy consumer side and a service provider-side processing device that executes energy analysis of the energy consumer are connected by a network, and the consumer-side processing device is Collecting means for collecting the operating status of each energy consuming product used on the consumer side, the setting information, and the amount of consumption of each product as collected information, and the processing device for processing the collected information via the network. And a database that stores in advance the characteristics of the energy consuming product as product information, and the number of households on the consumer side and the usage environment as household attribute information. , The operation status of each energy consuming product supplied from the consumer side processing device, the setting information, and the consumption amount of each product as collection information Aggregate the data based on the input means for inputting, the collected information input and the accumulated information in the database to generate the aggregated information, and analyze and present the energy usage status of the consumer from the aggregated information. An energy information analysis system, comprising: a processing means. 6. The energy information analysis system according to claim 5, wherein when the aggregate processing unit analyzes and presents the energy usage status of the consumer based on the aggregate information, the aggregate information indicates the consumer to be analyzed. Other consumers with similar lifestyles and behaviors,
Alternatively, another consumer who uses an energy consuming product having similar characteristics is presented as a comparison target, and the energy information analysis system is characterized.