KR101937350B1 - Electrical safety automation system and method based on ICT - Google Patents

Abstract

The present invention relates to an ICT-based electrical safety automation system and method, and more specifically, to an ICT-based electrical safety automation system and method, capable of measuring and managing electrical safety information in real-time by utilizing Internet of Things (IoT) to prevent an electrical disaster. According to an embodiment of the present invention, the ICT-based electrical safety automation system may comprise: an electrical safety IoT device installed in an electric facility and measuring electrical safety information based on IoT to transmit the same; and an electrical safety automation server for controlling the electrical safety IoT device and receiving the electrical safety information measured in the electrical safety IoT device to store and analyze the same. In addition, the electrical safety automation server may comprise: an ICT server for measuring the electrical safety information by controlling the electrical safety IoT device; a database server for receiving the electrical safety information measured in the electrical safety IoT device to store the same, and analyzing the electrical safety information; and a monitoring server for receiving the electrical safety information measured in the electrical safety IoT device and a result analyzed in the database server, monitoring the electrical facility in real-time, and determining whether the electric facility is abnormal. Accordingly, the present invention has an effect of reducing and preventing an electrical disaster through prediction and management of the electrical disaster.

Description

Technical Field [0001] The present invention relates to an ICT-based electrical safety automation system and method,

The present invention relates to an ICT-based electric safety automation system and method, and more particularly, to an ICT-based electric safety automation system and method for measuring and managing electric safety information in real time using an Internet of Things And an automation system and method.

Electrical disasters are constantly occurring due to various factors, and electric fires in traditional markets in recent years are very large in scale and damage. In order to prevent such an electric disaster, an electric leakage breaker and a wiring breaker have been conventionally used, but such a method has a limitation in preventing electric disaster.

Currently, electric safety experts visit the electric power safety inspection periodically to prevent electric disaster. However, the visit inspection has many difficulties in preventing sudden electric accidents due to an increase in the number of household members and a long inspection cycle. In addition, electric safety experts who perform safety inspections according to the complexity of electric facilities can not know the status of all electric facilities and can not predict signs of accidents. Personnel-based electric safety management technologies prevent electric accidents There is a limit.

In addition, there are various types of electrical accidents such as electric leakage, power failure, and arc, and theoretically, the cause of the type of electric accident is well known.

However, there is not much research on what factors can cause electric accidents in actual situation, so it is difficult to analyze the causes of each electric accidents.

On the other hand, in order to prevent electric accidents, it is necessary to monitor electric safety data in real time. In addition, data on many cases are needed to predict electrical accidents through analysis of electrical safety data.

However, the most important problem in analyzing data for electric accident prevention is lack of data for analysis. This is because the frequency of electric accidents is not large and there is no data value measured in real time.

Korean Patent No. 10-1543651 (issued on August 11, 2015)

SUMMARY OF THE INVENTION Accordingly, the present invention has been made in view of the above problems, and it is an object of the present invention to monitor electric safety data in real time in order to prevent an electric disaster.

In addition, the purpose of the present invention is to predict electrical precautions and to secure electrical safety by comprehensively analyzing electrical safety data, location information, real-time weather information, and facility information.

According to an aspect of the present invention, there is provided an ICT-based electrical safety automation system including an electrical safety IoT device, an IoT platform, and an electrical safety automation server.

The electrical safety IoT device may be installed in an electrical facility to measure electrical safety information based on the Internet (IoT) and transmit the measured information. The IoT platform may be connected to the electrical safety IoT device through a communication network to transmit a control signal to drive the Internet (IoT).

The electrical safety automation server may include an ICT server, a database server, and a monitoring server. The ICT server can measure the electrical safety information by controlling the electrical safety IoT device through the IoT platform.

Also, the database server receives and stores electrical safety information measured from the electrical safety IoT device, and analyzes the electrical safety information. The monitoring server receives the electrical safety information measured from the electrical safety IoT device and the analyzed result from the database server, monitors the electrical equipment in real time, and can determine the abnormality.

An ICT-based electrical safety automation method according to an aspect of the present invention includes: requesting electrical safety information through an IOT platform in an ICT server (S10); controlling the electrical safety IoT device in the IoT platform to transmit the requested electrical safety information (S20), and transmitting the measured electrical safety information to the ICT server (S30).

In addition, the ICT server may include transmitting the measured electrical safety information to a database server and a monitoring server (S40), and storing and analyzing the measurement data in the database server (S50).

The monitoring server may monitor the measurement data in real time, and may be configured to monitor the measurement data in real time based on the monitoring result and the precursor prediction result, And determining whether there is an abnormality (S70).

As described above, the ICT-based electric safety automation system and method according to the present invention have an effect of reducing and preventing electric disaster through prediction and management of electric disaster.

In addition, the electric safety management cost can be reduced by efficient electric safety management through the ICT-based electric safety automation system and method according to the present invention.

In addition, electric safety data can be acquired in real time by analyzing big data and predicting the precursor to an electric disaster.

1 is a block diagram schematically showing an ICT-based electrical safety automation system according to an embodiment of the present invention.
2A and 2B illustrate an ICT-based electrical safety automation system according to another embodiment of the present invention.
3 is a diagram illustrating a configuration of a database in an ICT-based electrical safety automation system according to an embodiment of the present invention.
4 is a diagram illustrating an example of a database table configuration by a join operation in an ICT-based electrical safety automation system according to an embodiment of the present invention.
5 is a flowchart illustrating an ICT-based electrical safety automation method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. Also, the terms " part, "" ... "," module ", and the like described in the specification mean units for processing at least one function or operation, and may be implemented by hardware or software or a combination of hardware and software .

Hereinafter, the present invention will be described in detail with reference to the preferred embodiments of the present invention with reference to the accompanying drawings.

Like reference symbols in the drawings denote like elements.

The present invention relates to an ICT-based electrical safety automation system and method, and more particularly, to an ICT (Information and Communication Technology) system for measuring and monitoring electrical safety information in real time using an Internet (IoT) Based electrical safety automation system and method.

1 is a block diagram schematically showing an ICT-based electrical safety automation system according to an embodiment of the present invention, and FIGS. 2A and 2B are diagrams showing an ICT-based electrical safety automation system according to another embodiment of the present invention to be.

1 and 2, an ICT-based electric safety automation system according to an embodiment of the present invention includes an electric safety IoT device 200, an IOT platform 300, and an electric safety automation server 400 . Preferably, the dispatch service 500 may further include a dispatch service 500 based on the determination result of the electrical safety automation server 400.

The electrical safety IoT device 200 can be connected to the electrical equipment 100 based on the Internet (IoT) to detect the electrical safety condition in real time and measure the electrical safety information. The electrical safety IoT device 200 can measure insulation resistance, voltage, overcurrent, load current, leakage current and power factor of each component. That is, the measurement data items measured by the electric safety IoT device 200 include the following data items: an incoming voltage, a load current, a video current, a capacitive leakage current, a resistive leakage current, an amount of power, an insulation resistance, a short circuit trip, an overload / , Power factor and electrical safety status.

Preferably, the electrical safety IoT device 200 is installed inside an enclosure or distribution box of a watt-hour meter and can measure an incoming voltage, a load current, a video current, a capacitive leakage current, a resistor leakage current, a power factor, have.

The electric safety IoT device 200 may include a measurement unit 210, a correction unit 220, a control unit 230, a communication unit 240, and a storage unit 250. The measuring unit 210 may measure electric safety information generated in the electric equipment 100 by being connected to the electric equipment 100. The control unit 230 controls the measuring unit 210, the corrector 220, the communication unit 240 and the storage unit 250 and outputs the electrical safety information measured by the measuring unit 210 to an analog- converter to convert the digital information into digital information, and calculate the electrical safety operation information by performing an operation based on the electrical safety information measured by the measuring unit 210. [

In addition, the calibration unit 220 may adjust the measurement period for measuring the electrical safety information at the measurement unit 210. [ The communication unit 240 receives the control signal through the wireless communication and can remotely transmit the electrical safety information measured by the measurement unit 210 and the electrical safety operation information calculated by the control unit 230. [

Here, the measured electrical safety information can be transmitted in real time through a communication network. The communication network may include WiFi, Ethernet, Zigbee, LoRa (Long Range) wireless communication, and MQTT (Message Queuing Telemetry Transport) protocol.

 The storage unit 250 may store the digital information converted through the ADC and the electric safety operation information calculated by the controller 230. [

In addition, the electrical safety IoT device 200 may further include a power supply unit 260. The power supply unit 260 may supply a maintaining power to maintain the operating state for a predetermined data transmission time so that the electrical safety information can be normally transmitted through the communication unit 240 when a power failure occurs.

Also, the IoT platform 300 may be connected to the electric safety IoT device 200 through the communication network to transmit a control signal so as to drive the Internet of interest (IoT).

In addition, the electrical safety automation server 400 controls the electrical safety IoT device 200 through the IoT platform 300, receives the electrical safety information measured from the electrical safety IoT device 200, Can be determined.

The electrical safety automation server 400 may include an ICT server 410, a database server 420, and a monitoring server 430. The ICT server 410 may measure the electrical safety information by controlling the electrical safety IoT device 200 through the IoT platform 300. [

In addition, the database server 420 receives and stores the electrical safety information measured from the electrical safety IoT device 200, and analyzes the electrical safety information.

In addition, the database server 420 may perform customer information, failure occurrence recording, data distribution processing storage, event data processing analysis, and the like. That is, the database server 420 can collect data, store distributed data, process distributed data, process event data, and analyze data.

In addition, the database server 420 can predict a precursor to an electrical disaster based on the analysis result.

In addition, the database server 420 may include a distributed file system that stores all electrical safety information measured from the electrical safety IoT device 200, and a relational database that stores device data at the time of occurrence of an event such as an accident occurrence.

In an embodiment of the present invention, the database server 420 may include Hadoop and Spark in order to quickly perform data storage and analysis.

Here, the database server 420 can utilize the accumulated electrical safety information through the analysis of the big data.

In addition, the monitoring server 430 receives the electrical safety information measured from the electrical safety IoT device 200 and the analyzed result from the database server 420, monitors the electrical equipment 100 in real time, and determines whether the electrical equipment 100 is abnormal .

The monitoring server 430 is configured based on the web, and the manager can manage the customer based on the geographical information. That is, it is possible to provide an electric safety map that provides local good / dangerous area information through a GIS (Geographic Information System).

In addition, the monitoring server 430 may transmit a notification message to the person in charge of the electric equipment 100 when the electric equipment 100 is abnormal, so that the on-site service 500 may perform quick on-site measures.

The dispatch service 500 may include management of the electrical safety IoT device 200, and management and inspection of the electrical equipment 100.

3 is a diagram illustrating a configuration of a database in an ICT-based electrical safety automation system according to an embodiment of the present invention. 3 is a diagram showing a movement path of data measured by the electric safety IoT device 200. As shown in FIG.

3, the configuration of the database in the ICT-based electrical safety automation system according to the embodiment of the present invention includes an ICT server 410 serving as a server and an IoT platform 410 serving as a client (300) and the database server (420).

The ICT server 410 may request data from the IoT platform 300. The IoT platform 300 may measure the requested data via the electrical safety IoT device 200 and deliver the measured data to the ICT server 410. In addition, the database server 420 can request a subscription to the ICT server 410.

The ICT server 410 may transmit the measured data to the database server 420 and store the measured data in the database server 420.

Meanwhile, an ICT-based electrical safety automation system according to an embodiment of the present invention can use a wireless long distance communication (LoRa) or a message queuing telemetry transport (MQTT) to transmit measured data in the electric safety IoT device 200 have.

3, the ICT server 410 may be an MQTT broker, and the IoT platform 300 may be a ThingPlug. Referring to FIG. 3, the ICT server 410 may be an MQTT broker, and the IoT platform 300 may be a ThingPlug. In addition, the database server 420 may include HDFS, which is a distributed file system, and MariaDB, which is a relational database.

When the measurement period of the electrical safety IoT device 200 for measuring data is shortened and the number of the electrical safety IoT devices 200 installed increases, the amount of data measured may exceed the range that can be processed by the relational database have. For this purpose, a system for storing electrical safety data can be constructed by utilizing a large-capacity distributed file system such as HDFS.

By using the database for the big data and the relational database together, it is possible to more effectively manage and operate data requiring management such as data and customer information generated in real time.

The MQTT broker which is the ICT server 410 can take charge of collecting and disassembling in the middle to enable publishing and subscribe operations performed by the client. The Publisher as the IoT platform 300 and the Subscriber as the database server 420 correspond to a client of a broker. When a publisher sends data from a topic and a topic to a broker, the subscriber can request the broker to subscribe to the topic and subscribe to that data.

In other words, the data transmission process using the MQTT protocol utilized in the electrical safety IoT device 200 is the same as in FIG. The issuer corresponds to a ThingPlug (IoT platform 300) storing data generated in the electric safety IoT device 200, acts as a broker on the server side and receives data, and the broker acts as a subscriber The HDFS (database server 420) transmits the data to the HDFS (database server 420) and stores the data in the HDFS (database server 420).

Meanwhile, in the data storage through the MQTT, the HDFS preferably stores all data measured by the electric safety IoT device 200, and the MariaDB stores device data at the time of occurrence of an event such as an accident.

The following information may be stored in the database server 420 in order to analyze data measured by the electrical safety IoT device 200. That is, the database server 420 may include the measurement information measured by the electrical safety IoT device 200, the unsuitability statistical information of the monthly electrical safety check, the alarm log due to the occurrence of an abnormal signal, and the common facility code, have.

The database server 420 is also provided with manager information of the electrical safety IoT device 200, common code information as type code information of abnormal signal generation, customer information provided with the electrical safety IoT device 200, Which is information related to the device information. Also, the database server 420 is provided with device state information which is information recently measured by the electrical safety IoT device 200, copper code information which is the same unit code information of the whole country, known information about known contents, It may include weather information by national divergence.

Here, the device information table indicating the device information may include device serial number, installation date and time, installation location, and facility type information of the electric safety IoT device 200, and the customer information table indicating the customer information may include a customer name , Customer telephone number, customer address, building type, and contact person information. In addition, the measurement information table indicating the measurement information may include the device serial number of the electric safety IoT device 200, the measurement date and time, the customer number, and the measurement data of the electric safety IoT device 200.

Meanwhile, the device information, the customer information, and the measurement information can be linked between the tables through the serial number and the customer number. A join operation can be used for the connection between these tables. A join operation is an operation that creates a new table that satisfies a condition based on attribute values common to two or more tables.

In the American National Standards Institute (ANSI) Standard Structured Query Language (SQL), join operations are classified into four types of INNER, OUTER, LEFT, and RIGHT joins.

An INNER join according to an embodiment of the present invention will now be described. The INNER join is an operation that is commonly used in application development. The INNER join is an operation that combines the attributes of several tables and creates a table with an intersection of the records satisfying the condition, thereby effectively grasping the information desired by the user.

The database table according to one embodiment of the present invention can be represented as shown in Table 1 below.

   Table 1. Database tables

4 is a diagram illustrating an example of a database table configuration by a join operation in an ICT-based electrical safety automation system according to an embodiment of the present invention. That is, in the database table of Table 1, a combined table can be created by performing a join operation on three tables of the device information table, the customer information table, and the measurement information table.

In the case of detecting an abnormal signal through the electrical safety IoT device 200, as shown in FIG. 4, the device information, the customer information, and the measurement information table may be subjected to a join operation to provide necessary information at a time.

As shown in FIG. 4, in the device information table, the location where the abnormality is detected, the customer's contact information in the customer information table, and the measurement date and time in the measurement information table, The customer information to be contacted and the processing position information can be grasped at a time, which facilitates monitoring.

In addition, when this information is combined with weather information, the correlation between the electrical safety state and the climatic condition can be analyzed by grasping the time of occurrence of the anomalous state and the climatic information. It is very effective in terms of analysis and cost to construct various tables and to create relations between tables rather than storing all data in one table like this.

On the other hand, the electrical safety data measured in real time from the electrical safety IoT device 200 can be classified according to the type of the electrical accident, and the data can be used for the cause analysis of each electrical accident.

Here, it is desirable to use an easy data analysis method for correlation analysis such as linear regression as an analysis tool for cause analysis. The linear regression analysis has an advantage in that it can find the property values affecting the specific accident and calculate the weight of how the property value affects the actual accident.

Further, the present invention can generate an electric accident prediction model for prevention of an electric accident. In other words, it is possible to analyze the prognosis before the electric accident through the correlation analysis between the data stored before the electric accident occurred. At this time, it is desirable to apply Artificial Neural Network, which is a method of finding the most optimal answer by learning models based on various data.

In addition, according to the present invention, real-time data measurement is possible through the electric safety IoT device 200, and data values at the time of occurrence of a specific electric accident can be secured based on the measurement. Here, when such data is accumulated enough to be analyzed, it is possible to test not only various analyzes but also prediction models created through analysis.

Preferably, an approach such as Cross Validation can be used. The cross validation is a method of using 90% of the data as the analysis data for prediction and verifying the result to be predicted through the remaining 10% of the test data.

5 is a flowchart illustrating an ICT-based electrical safety automation method according to an embodiment of the present invention.

The ICT-based electrical safety automation method according to an aspect of the present invention includes the steps of: requesting electrical safety information from the ICT server 410 through the IoT platform 300 (S10); transmitting the electrical safety information from the IoT platform 300 to the electrical safety IoT device 200 (S20) of measuring the requested electrical safety information by controlling the electrical safety information (S30) and transmitting the measured electrical safety information to the ICT server (S30).

In addition, the ICT server 410 may transmit the measured electrical safety information to the database server 420 and the monitoring server 430 (S40), and storing and analyzing the measurement data in the database server 420 S50).

In addition, the database server 420 may monitor the measurement data in real time (S60) and the monitoring server 430 in real time based on the analysis result, predicting the precursor of the electric disaster based on the analysis result, And determining whether the electrical equipment 100 is abnormal based on the determination result (S70).

As described above, the ICT-based electrical safety automation system according to the present invention has the effect of comprehensively analyzing the electric safety data, the position information of the electric safety IoT device 200, the real-time weather information, and the electric equipment 100 information . In addition, there is an effect that it is possible to process an exception situation such as predicting the electric safety state and analyzing the cause of the abnormal state through the join operation.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, And all changes to the scope that are deemed to be valid.

100: Electrical equipment 200: Electrical safety IoT device
210: measuring unit 220:
230: control unit 240: communication unit
250: storage part 260: power supply part
300: IoT platform 400: Electrical safety automation server
410: ICT server 420: database server
430: monitoring server 500: dispatch service

Claims (9)

An electrical safety IoT device installed in an electrical facility and measuring and transmitting electrical safety information based on the Internet (IoT);
An IoT platform connected to the electric safety IoT device through a communication network to transmit a control signal so as to drive the Internet of interest (IoT); And
And an electrical safety automation server for controlling the electrical safety IoT device through the IoT platform and for receiving, storing and analyzing electrical safety information measured from the electrical safety IoT device,
Wherein the electrical safety IoT device includes a power supply unit for supplying a maintenance power source capable of maintaining an operating state for a predetermined data transmission time so that the electrical safety information can be normally transmitted when a power failure occurs,
The electrical safety automation server
An ICT server for controlling the electrical safety IoT device through the IoT platform to measure the electrical safety information;
A database server for receiving and storing electrical safety information measured from the electrical safety IoT device and analyzing the electrical safety information; And
And a monitoring server for receiving the electrical safety information measured by the electrical safety IoT device and the analyzed result from the database server and monitoring the electrical equipment in real time and determining the abnormality,
The database server configures the electrical safety information into respective database tables according to functions and performs a join operation based on the association of the database tables to generate an electrical safety information table to be combined, A distributed file system for storing all electrical safety information measured from the electrical safety IoT device for performing an operation and a relational database for storing device data at the time of occurrence of an event such as an accident occurrence, The results of this study are as follows. First, the electric safety data are classified by type of electric accident, and through the corresponding data, a linear regression analysis is easily performed for the cause analysis of each electric accident,
The monitoring server includes a web-based electric safety map that provides local good / dangerous area information through a geographic information system (GIS) so that an administrator can manage customers based on geographical information.
Wherein the database table comprises a measurement information table for storing measurement information measured from the electrical safety IoT device, a device information table for storing relevant information about the electrical safety IoT device, An ICT-based electrical safety automation system including an information table.
The method according to claim 1,
The electrical safety information measured from the electrical safety IoT device
An ICT-based electrical safety automation system including insulation resistance, voltage, overcurrent, load current, leakage current per component and power factor.
delete The method according to claim 1,
The database server
Based on the result of the analysis, predicts a precursor to an electric disaster.
delete delete The method according to claim 1,
The database table
A non-compliant statistics table storing monthly electrical safety check non-compliance statistical information;
An alarm log table for storing alarm log information due to abnormal signal generation;
A common facility code table for storing code information for each building type;
An administrator information table storing manager information of the electric safety IoT device;
A common code table storing abnormal signal generation type code information;
A device state table storing information recently measured in the electric safety IoT device;
A code table for storing the unit code information of the whole country;
A notification table storing notification contents;
An organization code table for storing organizational code information on a nationwide initiative; And
An ICT-based electrical safety automation system further comprising a weather information table storing weather information by national dong.
(S10) requesting electrical safety information from the ICT server through the IoT platform;
(S20) controlling the electrical safety IoT device in the IoT platform to measure the requested electrical safety information;
Transmitting the measured electrical safety information to the ICT server (S30);
Transmitting the measured electrical safety information from the ICT server to a database server and a monitoring server (S40);
Storing and analyzing the measurement data in the database server (S50);
(S60) of predicting a precursor to an electrical disaster using an approach of cross validation based on the analysis result in the database server; And
Monitoring the measurement data in real time by the monitoring server, and determining whether the electrical equipment is abnormal based on the monitoring result and the predictive prediction result (S70)
The database server includes a distributed file system that stores all electrical safety information measured from the electrical safety IoT device to quickly store and analyze data, and a relational database that stores device data at the time of occurrence of an event such as an accident occurrence The electric safety data measured in real time from the electric safety IoT device are classified into types of electric accidents, and a linear regression which is easy to perform correlation analysis for the cause analysis of each electric accident is made through the divided data. Analysis,
The monitoring server includes a web-based electric safety map that provides local good / dangerous area information through a geographic information system (GIS) so that an administrator can manage customers based on geographical information. Based electrical safety automation method.

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