KR102081274B1 - IOT device state monitor-control system using blockchain network - Google Patents

Abstract

An IOT home appliance state control system using a blockchain network is provided. The connection server determines whether an error has occurred in the IOT home appliance using sensing data received in real time from a sensor provided in an Internet of Things (IOT) home appliance, and if it is determined that the error has occurred, the error information of the IOT home appliance (hereinafter, Create and broadcast a block containing 'home appliance error information' to the home appliance control blockchain network, and the home appliance control blockchain network delivers the block received from the home appliance connection server to the members of the blockchain network. The control server may notify the user of the IOT home appliance a procedure necessary for AS (After Service) of the IOT home appliance based on the block received through the home appliance state control blockchain network.

Description

IOT home appliance state control system using blockchain network {IOT device state monitor-control system using blockchain network}

The present invention relates to an IOT home appliance state control system using a blockchain network, and more particularly, to determine whether an error of the IOT home appliance using IOT sensing data and to transmit the determined state information to a user using the blockchain network. The present invention relates to an IOT home appliance state control system using a blockchain network.

Smart home is a function that monitors and controls by connecting home appliances, water supply, electricity consumption, door lock, and surveillance camera through a communication network. One of the core technologies of this function is the Internet of Things (IOT) technology. Recently, the popularity of IOT home appliances (hereinafter referred to as 'IOT home appliances') is also increasing due to the rapid increase in interest in smart home related technologies and technology development.

As a result, the frequency of occurrence of a defect in the IOT home appliance, such as an operation error of the IOT home appliance or a device defect, is also increasing, but it is also difficult for a user to quickly recognize a fault of the IOT home appliance or to identify a sensor in which the fault occurs. In addition, the procedure for the user to apply for AS (After Service) of the IOT home appliance also has a problem that is difficult or complicated and takes a long time.

Domestic Patent No. 10-1772097 (2017.08.22.Registration)

Technical problem to be solved by the present invention in order to solve the above problems, automatically determine whether the error of the IOT home appliances and transmits to the control system through the block chain network, the control system guides the user necessary procedures for AS or automatically The present invention proposes an IOT home appliance state control system using a blockchain network to perform AS reception.

The problems of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

As a means for solving the above technical problem, according to an embodiment of the present invention, the IOT home appliance state control system using a block chain network, the sensing data received in real time from a sensor provided in the Internet of Things (IOT) home appliances Determining whether an error has occurred in the IOT household appliance by using a, and if it is determined that an error has occurred, generates a block containing the error information (hereinafter referred to as 'home appliance error information') of the IOT household appliances block chain network A home appliance connection server broadcasting to; A home appliance state control block chain network for transferring blocks received from the home appliance connection server to block chain network members; And a home appliance state control server for notifying a user of the IOT home appliance of a procedure necessary for an after service (AS) of the IOT home appliance based on a block received through the home appliance state control blockchain network.

The appliance connection server mines and stores a block hash necessary for block generation, and generates a block describing the appliance error information by using the stored block hash.

The home appliance connection server collects sensing data from at least one of a sensor provided in the IOT home appliance and another sensor of the same type as the sensor, and applies the collected sensing data to a machine learning algorithm to apply a support vector machine (SVM). After learning, the sensing data received from the sensor of the IOT household appliance is input to the learned SVM to determine whether an error of the IOT household appliance occurs.

The appliance connection server determines a normal range and an error range of sensing data through the learned SVM, and determines whether an error of the IOT appliance occurs from a range to which sensing data received from the sensor belongs among the normal range and the error range. The error range may be set differently for each type of sensor.

The home appliance connection server and the home appliance state control server operate as members of the home appliance state control blockchain network.

According to the present invention, a system connected to communicate with an IOT home appliance automatically determines whether the IOT home appliance has an error and transmits home appliance error information to the control system through a blockchain network, and the control system sends an AS to the user based on the home appliance error information. User convenience can be enhanced by guiding the necessary procedures or by automatically performing AS application.

The effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a view showing an IOT home appliance state control system using a blockchain network according to an embodiment of the present invention,
FIG. 2 is a block diagram illustrating the home appliance connection server shown in FIG. 1 in detail;
3 is a diagram for explaining a general SVM
4 is a flowchart illustrating an IOT home appliance state control method of the IOT home appliance state control system using a blockchain network according to an embodiment of the present invention;
5 is a flowchart illustrating an operation of learning an SVM using a machine learning algorithm by a home appliance connection server according to an embodiment of the present invention;
FIG. 6 is a flowchart for describing an operation of determining whether an error occurs in an IOT household appliance by using each SVM derived by FIG. 5.

Objects, other objects, features and advantages of the present invention will be readily understood through the following preferred embodiments associated with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided to ensure that the disclosed contents are thorough and complete, and that the spirit of the present invention can be sufficiently delivered to those skilled in the art.

In the present specification, when a component is mentioned as being on another component, it means that it may be formed directly on the other component or a third component may be interposed therebetween.

In addition, when it is mentioned that a first element (or component) is operated or executed on a second element (or component), the first element (or component) means that the second element (or component) It is to be understood that the operation or execution in the environment in which the operation or execution is performed or the operation or execution is performed directly or indirectly through interaction with the second element (or component).

When an element, component, device, or system is referred to as including a component made up of a program or software, the element, component, device, or system may be executed or operated by the element, component, device, or system even if no explicit mention is made. It should be understood to include hardware necessary to run (eg, memory, CPU, etc.) or other programs or software (eg, an operating system or drivers needed to run the hardware, etc.).

In addition, it is to be understood that an element (or component) may be implemented in software, hardware, or any form of software and hardware, unless otherwise specified in the implementation of any element (or component).

Also, the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, the words 'comprises' and / or 'comprising' do not exclude the presence or addition of one or more other components.

Hereinafter, with reference to the accompanying drawings for the specific technical content to be carried out in the present invention will be described in detail.

In describing the following specific embodiments, various specific details are set forth in order to explain and understand the invention in more detail. However, one of ordinary skill in the art can understand that the present invention can be used without these various specific details.

In some cases, it is mentioned in advance that parts of the invention which are commonly known in the description of the invention and which are not highly related to the invention are not described in order to prevent confusion in explaining the invention without cause.

Each configuration of the IOT home appliance state control system using the blockchain network shown in FIG. 1 may be functionally and logically separated, which means that each configuration is divided into separate physical devices or written in separate codes. It will be easy for the average person skilled in the art to deduce.

One or more programs for implementing the IOT home appliance state control system using the blockchain network may be installed in a predetermined data processing device to implement the technical idea of the present invention.

In addition, the home appliance connection server 100 and the home appliance state control server 300 of the IOT home appliance state control system using a blockchain network according to an embodiment of the present invention, a desktop PC (Personal Computer), a server, a laptop PC (Laptop PC), It may be one of all electronic devices capable of installing and executing a program, such as a netbook computer.

1 is a diagram illustrating an IOT home appliance state control system using a blockchain network according to an embodiment of the present invention.

As shown in FIG. 1, the IOT home appliance state control system using a blockchain network uses sensing data and artificial intelligence learning from sensors (not shown) provided in the Internet of Things home appliances 11 to 14. It is possible to determine whether an error of the IOT home appliance, and transmit the error occurrence information of the IOT home appliance to the IOT control system using a block chain network. Thus, while maintaining the security of the information on the status of the IOT home appliances provided in the home, it is possible to quickly find and cope with problems that the user has not found.

Referring to Figure 1, IOT home appliance state control system using a blockchain network according to an embodiment of the present invention a plurality of IOT home appliances (11-14), home appliance connection server 100, home appliance state control block chain network 200 and It may include a plurality of IOT home appliance state control server (300 ~ 300n).

The plurality of IOT home appliances 11 to 14 transmit sensing data according to the functional state of each home appliance to the home appliance connection server 100 based on the IOT technology. For example, the plurality of IOT appliances 11 to 14 may be a TV 11, a water purifier 12, a refrigerator 13, and an air cleaner 14, which are provided in a user's home and build a smart home, respectively. One or more sensors associated with the functionality of the appliances 11-14 are provided. For example, the air cleaner 14 includes a sensor for measuring fine dust concentration, and transmits the measured fine dust concentration to the home appliance connection server 100.

The appliance connection server 100 determines whether an error occurs in the IOT appliance using the sensing data received in real time from a sensor provided in the IOT appliance, and if it is determined that the error has occurred, the error information of the IOT appliance (hereinafter, 'home appliances A block containing the " error information " can be broadcasted to the home appliance state control blockchain network 200.

The home appliance connection server 100 and the IOT home appliance state control server 300 to be described later may operate as members of the blockchain network 200. Therefore, the home appliance connection server 100 receives and distributes the newly generated block propagated from the block chain network 200 or distributes the new block generated by the home appliance connection server 100 to the block chain network 200. You may request to save.

The home appliance connection server 100 may be, for example, a system that controls and / or manages operations of an IOT home appliance, such as a home appliance control server, an edge computing system, and a cloud server.

The home appliance control server may be separately installed for each type of IOT home appliance, or may be installed for each manufacturer and type of the IOT home appliance, and the operation of the corresponding IOT home appliance may be controlled by wireless communication according to a control command preset by a user. . If the home appliance control server is provided, for example, in a data center provided by the manufacturer of the IOT home appliance to provide a service, the edge computing system or cloud server may be located at an edge or IOT home appliance 11-14 located close to the user's mobile terminal. It can provide services that control consumer behavior through computing capabilities at the edges close to the network.

FIG. 2 is a detailed block diagram of the home appliance connection server 100 shown in FIG. 1.

2, the home appliance connection server 100 according to an exemplary embodiment of the present invention may include a bus 110, a block hash mining unit 120, a block hash storage unit 130, a communication unit 140, and a sensing data collection unit. 145, memory 150, and processor 160.

The bus 110 connects the block hash mining unit 120, the block hash storage unit 130, the communication unit 140, the sensing data collection unit 145, the memory 150, and the processor 160 to each other, and a control message. And circuitry for transmitting various signals such as status information, and / or data.

The block hash mining unit 120 mines the block hash necessary for generating the block, and the block hash storage unit 130 may store the mined block hash.

The communication unit 140 includes an interface circuit for communicating with a plurality of IOT appliances 11-14 and the home appliance state control block chain network 200. For example, the communication unit 140 may receive sensing data from a plurality of IOT appliances 11 to 14 and broadcast a block to be described later to the home appliance state control block chain network 200.

The sensing data collector 145 may collect and store sensing data received from the plurality of IOT appliances 11 to 14. The sensing data collected and stored may include identification information (serial number) and manufacturer information of the IOT home appliance, a type of sensor (eg, fine dust measurement sensor) sensing the sensing data, and a sensed time.

The memory 150 may include volatile memory and / or nonvolatile memory. The memory 150 may store instructions or data related to the components, one or more programs and / or software, an operating system, etc. in order to implement and / or provide the operations, functions, and the like provided by the appliance connection server 100. have.

The program stored in the memory 150 may include a block mining program that mines a block hash and generates a new block using the mined block hash.

In addition, the program stored in the memory 150 uses the sensing data collected from the plurality of IOT appliances 11 to 14 as learning data to perform machine learning for each IOT appliance 11 to 14 to support SVMs. Vector machine) to derive a machine learning algorithm.

Also, the program stored in the memory 150 may include an error determination program that determines whether an error occurs in the corresponding household appliance by using the learned SVM for each IOT household appliance 11-14, and generates and propagates a block. . However, as an example, the SVM machine learning algorithm is described, but the present invention is not limited thereto, and the state of the IOT home appliance may be determined through a situation recognition algorithm and a state prediction algorithm using artificial intelligence (deep learning, rush learning, etc.). to be.

The processor 160 may control the overall operation of the home appliance connection server 100 by executing one or more programs stored in the memory 150.

To this end, the processor 160 may include a learner 161, an error determiner 163, an error information generator 165, and a block generator 167.

The learning unit 161 executes a program that implements a machine learning algorithm to collect sensing data from at least one of a sensor included in each IOT home appliance 11 to 14 and another sensor of the same type as the sensor, and collected sensing By applying the data to a machine learning algorithm, the SVM can be learned for each type of sensor provided in each of the IOT home appliances 11 to 14.

The learning unit 161 learns the SVM using the normal range and the error range of the collected sensing data, the normal range is the actual sensed value of the sensing data, and the error range may be set differently for each type of sensor. For example, in the case of the temperature sensor, 40% of the actual sensed value may be set as a reference of the error range. 3 is a diagram for explaining a general SVM. Referring to FIG. 3, Optimal Margin corresponds to a normal range reference error range.

The error determining unit 163 inputs the sensing data received from the sensor of the IOT home appliance 11 into the learned SVM while the IOT home appliance (eg, 11) is actually used in the home, thereby causing an error of the IOT home appliance 11. A situation-aware algorithm for judging occurrence can be performed. That is, the error determining unit 163 determines the normal range and the error range of the sensing data through the learned SVM, and may determine that an error occurs when the sensing data received from the sensor is out of the error range among the normal range and the error range. have. For example, if the normal range of the temperature to be sensed by the temperature sensor is 30 ° C, since the error range is 12 ° C to 48 ° C, which is 40% of 30 ° C, the error determination unit 163 if current sensing data is 23 ° C. It may be determined that an error has occurred in the temperature sensor or the IOT household appliance equipped with the temperature sensor.

The error information generator 165 generates home appliance error information including at least one of a serial number, a manufacturer information, a type of sensor, and a type of an error of the IOT home appliance using the sensing data used to determine whether an error occurs. do.

The block generator 167 may receive a block hash usable from the block hash storage 130 and generate a new block by writing home appliance error information generated by the error information generator 165 in the block hash. In addition, the block generation unit 167 may broadcast the block containing the home appliance error information to the block chain network 200 to be propagated to the IOT home appliance state control server 300.

Referring back to FIG. 1, the home appliance state control blockchain network 200 may deliver the blocks received from the home appliance connection server 100 to members of the blockchain network 200 to be distributedly stored. Since the home appliance state control blockchain network 200 includes at least one home appliance connection server 100 and at least one IOT home appliance state control server 300, the home appliance connection server 100 and the IOT home appliance state control server 300 are blockchain networks. Can act as a node of.

The IOT home appliance state control server 300 performs a procedure required for the AS (After Service) of the IOT home appliance (eg, 11) based on the block received through the home appliance state control blockchain network 200 of the IOT home appliance 11. The user can be notified. To this end, the IOT home appliance state control server 300 maps and stores the mobile terminal information of the user subscribed to the service receiving the notification of the IOT home appliance error information and the identification information of the IOT home appliances 11 to 14 used by the user. Can be.

Accordingly, the IOT home appliance state control server 300 checks the serial number of the home appliance error information stored in the received block, and the home appliance error information as the mobile terminal information (for example, a phone number or an e-mail address) mapped to the serial number. And inform AS procedures. In addition, when the user requests the AS reception through the user terminal, the IOT home appliance state control server 300 may receive the AS on behalf of the user and notify the user terminal of the reception result. The receipt can be sent to the AS engineer.

4 is a flowchart illustrating an IOT home appliance state control method of the IOT home appliance state control system using a blockchain network according to an embodiment of the present invention.

Since the IOT appliances 11 to 14, the appliance connection server 100, the block chain network 200, and the IOT appliance state control server 300 illustrated in FIG. 4 have been described with reference to FIGS. 1 to 3, a detailed description thereof is omitted. do.

Referring to FIG. 4, the home appliance connection server 100 operates as a member of the blockchain network 200, that is, a node, to distribute and store new generation blocks propagated to the blockchain network 200 (S405 and S410).

Also, the home appliance connection server 100 mines and stores the block hash necessary for generating the block (S415 and S420).

While the steps S405 to S420 are in progress, the home appliance connection server 100 may perform the steps S425 to S465 in parallel.

That is, the appliance connection server 100 receives sensing data from the plurality of IOT appliances 11 to 14 and collects and stores the data as time passes (S425 to S430).

The appliance connection server 100 may determine whether an error of each IOT appliance is based on a situation recognition algorithm based on the collected and stored sensing data (S435 and S440).

In detail, the home appliance connection server 100 applies a machine learning algorithm to the collected and stored sensing data to learn SVM for each sensor, and inputs the sensing data corresponding to the learned SVM as an input of the IOT home appliance. You can determine whether an error has occurred.

5 is a flowchart illustrating an operation of learning an SVM using a machine learning algorithm by the home appliance connection server 100 according to an exemplary embodiment of the present invention, which corresponds to a part of step S435 of FIG. 4.

Referring to FIG. 5, the home appliance connection server 100 receives IOT sensing data collected from one or more sensors provided in an IOT home appliance (eg, 11) (S510), and an error range of the input sensing data (eg For example, 40% of the input sensing data is calculated (S520). The error range may be set differently for each type of IOT home appliance or for each type of sensor provided in the IOT home appliance.

The home appliance connection server 100 sets sensing data calculated from the input sensing data and the error range (ie, 40% calculated) as the training data (S530), and extracts a specific vector of the training data (S540). ).

The home appliance connection server 100 classifies the training data according to the type of sensor based on the extracted specific vector, and performs machine learning on the classified training data to derive an SVM for each type of sensor (S550 and S560).

If the collected sensing data is further present (S570-Yes), the home appliance connection server 100 enters step S520, and if not present, the learning ends.

FIG. 6 is a flowchart for describing an operation of determining whether an error occurs in an IOT household appliance by using each SVM derived by FIG. 5.

Referring to FIG. 6, the home appliance connection server 100 inputs the most recently received sensing data into the learned SVM (S610 and S620). In S620, the home appliance connection server 100 inputs the sensing data received from the same sensor type into the SVM learned about the same sensor type.

The appliance connection server 100 classifies the input sensing data through the classification of the normal range and the error range calculated by 40% through the situational recognition algorithm that inputs the sensing data into the learned SVM (S630).

 The home appliance connection server 100 determines whether a normal range of each sensor, that is, a home appliance error, is generated according to the classification result at step S630 (S640). In step S640, the home appliance connection server 100 determines that a home appliance error occurs when the sensing data is classified as being out of an error range.

Referring back to FIG. 4, the home appliance connection server 100 generates and stores home appliance error information for an IOT home appliance in which a home appliance error has occurred (S445). The home appliance error information may include information of the IOT home appliance, information of a sensor that senses sensing data, whether a sensor is abnormal, whether to replace a consumable.

In addition, the home appliance connection server 100 receives a request for and receives the mined block hash, generates a block containing home appliance error information, and broadcasts the generated block to the block chain network (S450 to S465).

When the blockchain network 200, that is, the node connected to the IOT home appliance state control server 300 among the members of the block chain network 200 transmits home appliance error information to the IOT home appliance state control server 300 and records a log (S470). The IOT home appliance state control server 300 stores home appliance error information (S475). In step S470, the IOT home appliance state control server 300 may receive a block containing home appliance error information and parse the home appliance error information. The log recorded in step S470 may then be used to track a history related to IOT home appliance status information.

The IOT home appliance state control server 300 grasps a procedure required for the AS according to the stored home appliance error information, and notifies the user of the required procedure through the notification (S480).

According to the above-described embodiments of the present disclosure, the home appliance connection server 100 has been described in which the processor 160 learns the SVM using the sensing data of the IOT home appliance 11 installed in the home, but is not limited thereto. Before installing in the home, the manufacturer may learn in advance for each sensor may be installed to be applicable in the home appliance connection server (100).

In both the former and the latter, the processor 160 derives the SVM more accurately in consideration of the state of each IOT appliance 11 to 14 by periodically learning and updating the SVM for each IOT appliance 11 to 14 actually being used. Therefore, it is possible to more accurately determine whether an error of the home appliance.

In addition, when the processor 160 is provided with two different types of sensors in one IOT home appliance 11, the processor 160 inputs sensing data corresponding to the SVM corresponding to each sensor to determine whether an error occurs for each sensor. Judge. As a result, the processor 160 may more accurately determine whether an error occurs with respect to one IOT household appliance 11.

On the other hand, while described and illustrated in connection with a preferred embodiment for illustrating the technical spirit of the present invention, the present invention is not limited to the configuration and operation as shown and described as described above, it deviates from the scope of the technical idea It will be apparent to those skilled in the art that many modifications and variations can be made to the present invention without departing from the scope of the invention. Accordingly, all such suitable changes and modifications and equivalents should be considered to be within the scope of the present invention. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

11-14: Multiple IOT Appliances
100: home appliance connection server
200: home appliance state control blockchain network
300 ~ 300n: multiple home appliances server

Claims (5)

Internet of Things (IOT) Determines whether an error has occurred in the IOT home appliance using sensing data received in real time from a sensor provided in the home appliance, and if it is determined that an error has occurred, error information of the IOT home appliance (hereinafter, A home appliance connection server for generating a block including 'home appliance error information' and broadcasting the home appliance state control block chain network;
A home appliance state control block chain network for delivering a block containing home appliance error information received from the home appliance connection server to block chain network members; And
And a home appliance state control server for notifying a user of the IOT home appliance a procedure necessary for an after service (AS) of the IOT home appliance based on the block received through the home appliance state control blockchain network.
The home appliance connection server,
After collecting sensing data from at least one of a sensor provided in the IOT home appliance and another sensor of the same type as the sensor, and learning the SVM (Support Vector Machine) by applying the collected sensing data to a machine learning algorithm, the learning SVM determines the normal range and error range of the sensing data,
The sensing data received from the sensor of the IOT home appliance is input to the learned SVM to determine whether an error of the IOT home appliance occurs from a range to which the sensing data belongs among the normal range and the error range, and the error range is the sensor. IOT household appliances state control system using a blockchain network, characterized in that different types can be set differently. The method of claim 1,
The home appliance connection server,
IOT home appliance state control system using a block chain network, characterized in that mining and storing the block hash required for block generation, and generates a block containing the home appliance error information using the stored block hash. delete delete The method of claim 1,
The home appliance connection server and the home appliance state control server, the home appliance state control system using a block chain network, characterized in that operating as a member of the home appliance state control block chain network.

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