KR102332236B1 - SYSTEM FOR NOTIFYING CONSUMER OF STATUS ANALYSIS INFORMATION ABOUT IoT HOME APPLIANCES IN REAL TIME BASED ON BIG DATA - Google Patents

Abstract

The present invention relates to a consumer notification system, and more specifically, by diagnosing the state of major system components of IoT home appliances in real time or predicting deterioration in real time, and notifying consumers before and after an abnormality along with a countermeasure to enable a smooth response. It is about a big data-based IoT home appliance real-time status analysis information consumer notification system.
To this end, the present invention provides an IoT home appliance for transmitting system component status information to the outside; a home appliance interworking server for storing the system component information of the IoT home appliance and the received system component state information in a big data storage; a big data analysis server for generating IoT home appliance analysis information based on system component information and system component state information stored in the big data storage of the home appliance interworking server; a service interworking server for generating visualized IoT home appliance diagnostic information by fusing at least any one of system parts information received from the big data analysis server, system parts status information, and IoT home appliance analysis information; and a consumer terminal for receiving the IoT home appliance diagnostic information from the service interworking server.

Description

Big data-based IoT home appliance real-time status analysis information consumer notification system {SYSTEM FOR NOTIFYING CONSUMER OF STATUS ANALYSIS INFORMATION ABOUT IoT HOME APPLIANCES IN REAL TIME BASED ON BIG DATA}

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The present invention relates to a consumer notification system, and more specifically, by diagnosing the state of major system components of IoT home appliances in real time or predicting deterioration in real time, and notifying consumers before and after an abnormality along with a countermeasure to enable a smooth response. It is about a big data-based IoT home appliance real-time status analysis information consumer notification system.

In general, the Internet of Things (IoT) refers to an environment in which things commonly seen in human daily life can be controlled through the Internet. You can enjoy services that are combined with IoT in services, asset management, and home appliances, and remote meter reading of gas and electricity usage in the corporate domain, and IoT application services in logistics and distribution are possible in the public domain, such as transportation and transportation. The use of IoT in connection with social overhead capital (SOC) is being reviewed for , traffic light control, security, and environmental pollution monitoring.

Among these various IoT application fields, smart home systems related to individuals in particular apply IoT to various home appliances such as refrigerators, air conditioners, air purifiers, and TVs to implement various services such as monitoring or remote control of the operation status of each home appliance. are doing

In the IoT environment, multiple home appliances can be simultaneously connected to and disconnected from various IoT platforms, and the status of problems can be integrated online by continuously monitoring and analyzing the status of home appliances. Considering that, through the construction of a platform that can store/manage/analyze data that can be collected by IoT home appliances, it is possible to approach this Research is needed.

Republic of Korea Patent Publication No. 10-2019-0076534 Republic of Korea Patent Publication No. 10-2017-0105327

The present invention has been devised to solve the problems of the prior art, and by diagnosing the state of major system components of IoT home appliances in real time or predicting the aging, and notifying consumers before and after an abnormality along with countermeasures, a smooth A/S response The purpose of this is to provide a big data-based IoT home appliance real-time status analysis information consumer notification system to enable

In order to achieve the above object, the present invention provides an IoT home appliance for transmitting system component status information to the outside; a home appliance interworking server for storing the system component information of the IoT home appliance and the received system component state information in a big data storage; a big data analysis server for generating IoT home appliance analysis information based on system component information and system component state information stored in the big data storage of the home appliance interworking server; a service interworking server for generating visualized IoT home appliance diagnostic information by fusing at least one of the system parts information received from the big data analysis server, the system parts status information, and the IoT home appliance analysis information; and a consumer terminal for receiving the IoT home appliance diagnostic information from the service interworking server.

Here, the big data analysis server analyzes the system component aging prediction of the IoT home appliance through machine learning regression analysis, and the IoT home appliance diagnosis information further includes at least one or more of a system component abnormal cause and a failure repair method, , The service interworking server is characterized in that it notifies the consumer terminal of at least one part abnormality situation information among a system component abnormality detection situation and an abnormality prediction situation of a system component within a certain period in real time.

In addition, the service link server further comprises an A/S management server that is notified of parts abnormality status information at the same time as the consumer terminal, wherein the A/S management server is located at the nearest location from the consumer terminal to the A/S driver's terminal. It is characterized in that abnormal situation information and pre-obtained consumer contact information are transmitted.

Additionally, the A/S management server receives system parts inspection information of IoT home appliances from the A/S driver terminal and transmits it to a big data analysis server, and the big data analysis server includes system parts information, system parts status information and system It is characterized in that IoT home appliance analysis information is generated based on the parts inspection information.

On the other hand, the present invention, the IoT home appliance includes the component state information transmitting step of transmitting the system component state information to the outside; a home appliance parts information storage step of storing, by the home appliance interworking server, the system parts information of the IoT home appliance and the received system parts state information in a big data storage; a home appliance analysis information generation step in which the big data analysis server generates IoT home appliance analysis information based on system parts information and system parts state information stored in the big data storage of the home appliance interworking server; A home appliance diagnosis information generation step in which the service interworking server fuses at least any one of system parts information, system parts status information, and IoT home appliance analysis information received from the big data analysis server to generate visualized IoT home appliance diagnosis information; ; and a home appliance diagnosis information receiving step in which the consumer terminal receives the IoT home appliance diagnosis information from the service interworking server.

As described above, the big data-based IoT home appliance real-time status analysis information consumer notification system according to the present invention detects abnormalities in parts or predicts replacement time in the process of continuously monitoring and diagnosing the status of major system parts of IoT home appliances. By automatically notifying consumers along with countermeasures, both manufacturers and consumers can time-efficiently manage A/S.

1 is a diagram schematically showing a big data-based IoT home appliance real-time status analysis information consumer notification system according to the present invention
2 is a flowchart illustrating an information delivery process according to the big data-based IoT home appliance real-time status analysis information consumer notification system according to the present invention;
3 is a flowchart illustrating a method for notifying consumers of real-time status analysis information of big data-based IoT home appliances according to the present invention;
4 is a flowchart illustrating an information delivery process according to a method for notifying consumers of real-time status analysis information of big data-based IoT home appliances according to the present invention;

The terms or words used in the present specification and claims should not be construed as being limited to their ordinary or dictionary meanings, and the inventor may properly define the concept of the term in order to best describe his invention. It should be interpreted as meaning and concept consistent with the technical idea of the present invention based on the principle that there is.

Accordingly, the embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiment of the present invention, and do not represent all the technical spirit of the present invention, so they can be substituted at the time of the present application It should be understood that various equivalents and modifications may exist.

Hereinafter, a system and method for notifying consumers of real-time status analysis information of big data-based IoT home appliances according to the present invention will be described with reference to the drawings.

1 is a diagram schematically illustrating a big data-based IoT home appliance real-time status analysis information consumer notification system according to the present invention.

The big data-based IoT home appliance real-time status analysis information consumer notification system according to the present invention basically includes an IoT home appliance, a home appliance interworking server, a big data analysis server, a service interworking server, and a consumer terminal.

2 is a flowchart illustrating an information delivery process according to the big data-based IoT home appliance real-time status analysis information consumer notification system according to the present invention.

Referring to FIG. 2 , more specifically, the present invention provides an IoT home appliance for transmitting system component state information to the outside, and a home appliance that stores system component information of the IoT home appliance and received system component state information in a big data storage An interworking server, a big data analysis server for generating IoT home appliance analysis information based on system parts information and system parts state information stored in the big data storage of the home appliance interworking server, and system parts information received from the big data analysis server , a service interworking server for generating visualized IoT home appliance diagnosis information by fusion of system component status information, IoT home appliance analysis information, etc., and a consumer terminal for receiving IoT home appliance diagnosis information from the service interworking server. .

The home appliance interworking server, big data analysis server, and service interworking server may be constructed to serve as a kind of web server, database server, and mobile server. Data may be transmitted through a web page, where the web page should be interpreted as including software for performing a specific task, such as a web application, in addition to simple text, image, sound, video, etc., and also desktop, laptop, smart It may be built to provide an interface with an application installed on a phone, tablet PC, or the like.

The consumer terminal is for receiving IoT home appliance diagnostic information by accessing a service interworking server through an online network, such as a tablet, a netbook, a personal digital assistant (PDA), a portable multimedia player (PMP), a smart phone, a wearable smart device, etc. should be interpreted as including various communication means of , and may include software, applications, etc. for executing various functions provided by the service interworking server.

In addition, the online network referred to in the present invention may be a core network integrated with a wired public network, a wireless mobile communication network, or the portable Internet, and various services existing in the TCP/IP protocol and its upper layers, that is, Hyper Text Transfer (HTTP). Protocol), HTTPS (Hyper Text Transfer Protocol Secure), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), etc. , which is not limited to these examples and refers to a comprehensive data communication network capable of transmitting and receiving data in various forms.

The IoT home appliance comprehensively refers to everything that can transmit and receive signals related to operation by wire/wireless while being electrically driven in daily life, such as refrigerators, air conditioners, air purifiers, TVs, etc. System components may be provided with various sensors and measuring devices for detecting the performance of components such as temperature, pressure, voltage, and current, and accordingly, system component status information can be transmitted to the outside such as a home appliance interworking server through a communication network.

The home appliance interworking server is mainly operated by the manufacturer or distributor responsible for the after-sales service of IoT home appliances, and the system component information of the IoT home appliance is uploaded and the system component status information received from the IoT home appliance is managed together. It functions to relay the corresponding information to the big data analysis server.

The big data analysis server analyzes the system component aging prediction of IoT home appliances through machine learning regression analysis along with IoT home appliance analysis information that can check whether the current system parts are abnormal according to the system parts information and system parts status information. It allows to guide the expected time for repair or replacement of system parts to the consumer terminal. Here, looking at the principle of machine learning regression analysis, it is to guess the 'function relationship' to find out from which function the given data is generated, and again In other words, generating a hypothesis using a learning algorithm from a data set (x, y), inputting data into the generated hypothesis to obtain predicted value data, and finding out what kind of equation is the equation corresponding to this hypothesis and what the coefficient means It can be called a process.

In machine learning regression analysis, when the coefficients of the equation are linear, it is called Linear Regression Analysis. If the coefficients of the equation are multiple, it is called Multiple Linear Regression Analysis, and the test data is a y=x graph. It shows the result of finding the weight value (w) and bias value (b) that fit the data through training with data created by mixing some errors in the data.

An appropriate function can be found by learning the error from the result value through gradient descent according to the definition shown in Equation 1 below.

Equation 1: y = wx + b

When learning a hypothesis about data, the difference between the drawn line and the distribution of each data is calculated, and it can be seen that the line with the smallest difference is the line suitable for this model. It can be inferred how different the values indicated are from the hypotheses actually established.

In other words, since the cost function (error function) consists of two parameters (w, b), it can be expressed in a two-dimensional space, so the height of the error function at each point is the error with respect to a straight line, and some straight lines are It has a smaller error than straight lines. For example, when performing gradient descent algorithm in TensorFlow, it starts at a point on this plane and moves to find a straight line with a smaller error.

In addition, in order to calculate the slope of the error function, a process of differentiating the error function is performed, and it is necessary to calculate the partial differential equations for w and b to know the direction of movement whenever the process of finding a straight line is repeated.

In multiple regression analysis, the input data x used in single regression analysis becomes two or more, for example, in the case of multiple regression analysis having two variables (x1, x2), it is defined as Equation 2 below and fits the data through learning. plane can be found.

Equation 2: y = w1*x1 + w2*x2 + b

Through single and multiple linear regression analysis as above, it can be seen that if there is any data, a function representing the data can be learned.

For reference, gradient descent is an optimization algorithm to minimize cost. Optimization is to select the one that best satisfies a given criterion from among a number of allowable values. It can be said that it is a process of finding the optimal parameter by moving little by little with a step size defined in the direction, and it is a method of finding the minimum value of a function with a gradient.

The IoT home appliance diagnosis information may further include system component information, system component status information, and IoT home appliance analysis information selectively or entirely, and may further include a cause of system component abnormality, a troubleshooting plan, etc., which is a system of IoT home appliance In the event that a part condition abnormality is found or predicted within a certain period, it does not simply inform the consumer terminal of such a situation, but also informs the cause of the failure of the system parts analyzed in the big data analysis server and the countermeasures against the failure, so that the future consumer will be able to prevent the failure of parts. information on the causes of system component abnormalities and troubleshooting methods is stored in the big data storage of the home appliance interlocking server or the big data analysis server itself, so that the system component status abnormality is detected/predicted. It may match the situation.

The service interlocking server is for notifying the consumer terminal of component abnormality status information such as system component abnormality detection status and system component abnormality prediction status within a certain period in real time. / The predicted situation can be immediately notified to the consumer so that a quick action can be taken.

In addition, the present invention may further include an A/S management server that is notified of parts abnormality status information from the service interworking server at the same time as the consumer terminal. By transmitting part abnormality status information and pre-obtained consumer contact information to the S-driver terminal, A/S technicians can provide after-sales service for IoT home appliances that have occurred or are predicted to fail without contacting A/S centers, distributors, manufacturers, etc. You can contact the consumer in advance so that the repair can be done promptly.

For example, if information on abnormality of parts for a refrigerator is transmitted to both the consumer and the after-sales service engineer, the consumer can conveniently provide after-sales service without making separate contact in a situation in which the refrigerator is faulty or is aware that it will break down. By being able to receive confirmation directly from the technician whether or not to receive repairs, it is possible to respond to refrigerator failures quickly.

Additionally, the A/S management server receives the system parts inspection information of IoT home appliances from the A/S driver terminal and transmits it to the big data analysis server, and the big data analysis server receives system parts information, system parts status information and system By generating IoT home appliance analysis information based on parts inspection information, more accurate IoT home appliance analysis information can be created, and the service interworking server also provides system parts information, system parts status information, system parts inspection information, IoT home appliances It will be possible to create new IoT home appliance diagnostic information by converging product analysis information.

3 is a flowchart illustrating a method for notifying consumers of big data-based IoT home appliance real-time status analysis information according to the present invention.

On the other hand, the big data-based IoT home appliance real-time status analysis information consumer notification method according to the present invention is basically a component status information transmission step, a home appliance parts information storage step, a home appliance analysis information generation step, a home appliance diagnosis information generation step, and a home appliance diagnosis information It consists of a receiving step.

4 is a flowchart illustrating an information delivery process according to a method for notifying consumers of real-time status analysis information of big data-based IoT home appliances according to the present invention.

Referring to FIG. 4 , more specifically, the present invention provides a component state information transmission step in which an IoT home appliance transmits system component state information to the outside, and a system component state received by the home appliance interworking server with system component information of the IoT home appliance Home appliance parts information storage step of storing the information in the big data storage, and the big data analysis server generates IoT home appliance analysis information based on system parts information and system parts status information stored in the big data storage of the home appliance interworking server Home appliance diagnostic information generation step in which the analysis information generation step and the service interlocking server create visualized IoT home appliance diagnostic information by fusion of system parts information, system parts status information, and IoT home appliance analysis information received from the big data analysis server and a home appliance diagnosis information receiving step in which the consumer terminal receives the IoT home appliance diagnosis information from the service interworking server.

Here, the IoT home appliance diagnostic information generated in the home appliance diagnostic information generation step may further include contents such as a cause of system component abnormality and a troubleshooting plan.

According to the process of the present invention as described above, the normal or abnormal state information of system parts identified through sensors, measuring instruments, etc. installed for each main system part of the IoT home appliance is compared/analyzed while making big data with system part information. Through this, it is possible to create and deliver diagnostic information on the abnormality of IoT home appliances to consumers in real time, enabling quick and efficient A/S management between both manufacturers and consumers.

In the above description of the present invention with reference to the accompanying drawings, a specific shape and direction have been mainly described, but the present invention can be variously modified and changed by those skilled in the art, and such modifications and changes are included in the scope of the present invention. should be interpreted as

Claims (7)

IoT home appliances for transmitting system component status information to the outside;
a home appliance interworking server for storing the system component information of the IoT home appliance and the received system component state information in a big data storage;
a big data analysis server for generating IoT home appliance analysis information based on system component information and system component state information stored in the big data storage of the home appliance interworking server;
a service interworking server for generating visualized IoT home appliance diagnostic information by fusing at least any two or more of system parts information received from the big data analysis server, system parts status information, and IoT home appliance analysis information;
A consumer terminal for receiving the IoT home appliance diagnostic information from the service interworking server;
The big data analysis server analyzes the aging prediction of system parts of IoT home appliances through machine learning regression analysis,
The machine learning regression analysis is
Through learning, the weight value (w) and the bias value (b) that fit the data are found, and the error of the result value is learned through the gradient descent method by Equation 1,
In the case of multiple regression analysis with two variables (x1, x2), it is configured to find a plane that fits the data through learning by Equation 2,
The IoT home appliance diagnostic information further includes at least any one or more of a cause of system component failure and a troubleshooting method,
The service interworking server notifies the consumer terminal of at least one part abnormality situation information among the system part abnormality detection situation and the system part abnormality prediction situation within a certain period in real time,
Further comprising an A/S management server that is notified of parts abnormality status information from the service interworking server at the same time as the consumer terminal,
The A / S management server,
Transmitting part abnormality situation information and pre-obtained consumer contact information to the A / S driver terminal located closest to the consumer terminal,
When the component abnormality status information for the refrigerator is transmitted to the consumer terminal and the A/S engineer terminal, the consumer terminal checks whether or not to receive repairs from the A/S operator terminal,
Big data-based IoT home appliance real-time status analysis, characterized in that the normal or abnormal status information of the system parts is converted into big data together with the system parts information, and diagnostic information about the abnormality of the IoT home appliance is generated through comparison and analysis. Information Consumer Notification System.
Equation 1: y = wx + b
Equation 2: y = w1*x1 + w2*x2 + b
delete delete delete delete The method according to claim 1,
The A/S management server receives system parts inspection information of IoT home appliances from the A/S driver terminal and transmits it to the big data analysis server,
The big data analysis server generates IoT home appliance analysis information based on system parts information, system parts state information, and system parts inspection information. delete

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