KR102234242B1 - Disaster Prevention Status Alarm System for Power Equipment in Power plants - Google Patents

Abstract

The present invention constructs big data by simultaneously detecting partial discharge, temperature, smoke, and flame, and analyzes the built big data to deliver danger signs such as fire, explosion, etc. for power facilities to the manager in advance to respond to fire. It relates to a disaster prevention state detection and alarm system of a power plant power facility that prevents accidents in advance and improves the performance of power facilities and parts, and a detection unit that detects partial discharge, temperature, smoke and flame in power facilities, and the above. Consist of an analysis unit that receives and analyzes each information data detected by the detection unit, the detection unit UHF sensor detecting a partial discharge occurring inside the power facility, and a heat detecting temperature for a certain part inside the power facility It characterized in that it comprises an image sensor and a CCTV installed in the vicinity of the power equipment is installed to detect smoke and flames generated in the power equipment and the adjacent portion thereof.

Description

Disaster Prevention Status Alarm System for Power Equipment in Power plants}

The present invention relates to a disaster prevention state detection and alarm system of power plant power facilities, and in particular, it is possible to construct big data by exchanging partial discharge and thermal image information, and to notify the operator of disaster information such as fire and explosion of power plant power facilities in real time. It relates to a disaster prevention condition detection and alarm system of power plant power facilities that have been made available.

In general, partial discharge refers to power receiving facilities and high-voltage switchboards, high-voltage cables, transformers (including molded transformers), gas insulated switchgear (GIS), switchgear, and power receiving facilities installed in various industries and power system substations. As a generic term for the discharge generated in any part of the facility, there may be mentioned corona discharge occurring near the tip of an electrode, creepage discharge occurring along the surface of an insulating material, void discharge occurring in voids in the insulating material, and the like.

It is very important to detect the presence or absence of abnormalities in power facilities, monitor the degree of deterioration of insulators, and predict the timing of repairs, and such prediction and management are possible by measuring and monitoring partial discharges.

With the advancement of the industry, the demand for power is continuously increasing, and fire accidents are frequently occurring due to high voltage cables, transformers, GIS, power receiving facilities, and power facilities in the power equipment system. These accidents can lead to technical losses as well as economic losses.

In particular, high-voltage power equipment is treated as a very important facility not only for national infrastructure, but also for civilian use, and accidents of power equipment are an important national issue that affects the information and communication network as well as damage to human life and power facilities. .

Various parts such as cables, circuit breakers, switchgear, high-voltage cables, GIS, PT, CT, and lightning arresters are built into the power facilities installed in power plants, substations, and large factories. As a result, a fire accident has occurred, which has a fatal effect on the power supply.

On the other hand, conventionally, the monitoring system of power facilities consists of a thermal imaging camera, CCTV, and monitor, and uses a thermal imaging camera to detect the heat of the power facility, detects smoke and flames with CCTV, and receives and analyzes the results. In addition to displaying on the monitor, an alarm is generated.

However, the monitoring system of the electric power facility according to the prior art as described above detects partial discharge, but it is not possible to accurately determine the detection area, and the thermal imaging camera detects only the relatively high temperature area, so that the condition of the facility in the low temperature area I didn't know.

In addition, it is not possible to detect the condition and history of parts inside the power facility, and in the closed power facility, there is a limit to simultaneously detecting heat, smoke, and flame in a dark and narrow environment in a closed space.

In particular, the transformer bus and the extra-high voltage circuit breaker were always subject to large currents, causing a partial discharge due to overheating of the connection, which raised concerns about accidents in large facilities.

The present invention was conceived to solve the above problems, and built big data by simultaneously detecting partial discharge, temperature, smoke, and flame, and by analyzing the built big data, there is a risk of disasters such as fire and explosion in power facilities. Its purpose is to provide a disaster prevention condition detection and alarm system for power plants in power plants that prevents accidents in advance and improves the performance of power facilities and parts through proactive response to fires by delivering signs to managers in real time.

In addition, the present invention uses the Internet of Things (IoT) and Big Data for risk and fire diagnosis of power facilities to prevent electric fires and power outages in advance, and by integrating a monitoring and diagnosis device into one to monitor facilities. Another object is to provide a disaster prevention condition detection and alarm system for power plants in power plants that improves reliability and improves the work efficiency of maintenance and operation.

The disaster prevention state detection and alarm system of a power plant power facility according to the present invention for achieving the above object includes a detection unit that detects partial discharge, temperature, smoke and flame in the power facility, and transmits each information data detected by the detection unit. It is composed of an analysis unit that receives and analyzes, and the detection unit includes a UHF sensor that detects a partial discharge occurring inside the power facility, a thermal image sensor that detects a temperature for a certain part inside the power facility, and the power facility is installed. It includes a CCTV installed in the vicinity to detect smoke and flames generated in the power equipment and adjacent parts thereof, and the analysis unit receives and stores partial discharge information detected from the UHF sensor, and the heat A thermal image database that receives and stores temperature information detected from an image sensor, a smoke and flame analysis unit that analyzes smoke and flames detected from the CCTV in comparison with a reference smoke concentration and flame, and the partial discharge database And the risk of constructing big data by receiving the information of partial discharge and thermal image stored in the thermal image database, analyzing the risk of the electric power facility based on the built big data, and transmitting the risk symptoms to the manager in real time. It characterized in that it comprises a detection determination unit.

The disaster prevention state detection alarm system of a power plant power facility according to an embodiment of the present invention has the following effects.

First, it constructs big data by simultaneously detecting partial discharge, temperature, smoke, and flame, analyzes the built big data, and delivers danger signs to the manager in real time, such as fire and explosion of power facilities, to take precautions against fire. Accidents can be prevented in advance.

Second, failures and abnormal symptoms of power facilities and parts can be identified in advance, and operation can be performed without interruption according to the failure.

Third, it is possible to further improve the performance of power facilities and parts by identifying replacement cycles for power facilities and parts using big data.

Fourth, by using Internet of Things (IoT) and Big Data for risk and fire diagnosis of power facilities, electric fires and blackout rates are prevented in advance, and events of abnormal symptoms are detected by integrating monitoring and diagnosis devices into one. By making integrated judgment, it is possible to simplify the system and improve the work efficiency of maintenance and operation.

Fifth, the closed space inside the panel of the high-pressure facility is subdivided into the monitoring area according to the temperature distribution of 20~100℃, so that the deterioration information for each facility can be managed more efficiently.

Sixth, it is possible to prevent fire accidents in advance by checking the points of accident signs in confined spaces where large currents always flow, such as transformers and extra-high voltage circuit breakers.

1 is a block diagram schematically showing a disaster prevention state detection alarm system of a power plant power facility according to the present invention
Figure 2 is a configuration diagram showing in more detail the risk detection determination unit of Figure 1
3 is a view showing an example of detecting temperature and partial discharge of a busbar and a connection part using a UHF sensor and a thermal image sensor in the disaster prevention state detection alarm system of the power plant of FIG. 1
FIG. 4 is a view showing the analysis contents on a monitor screen in the disaster prevention state detection alarm system of the power plant power facility of FIG. 1
5 is a screen showing pixel control of a thermal image sensor in the disaster prevention state detection alarm system of the power plant of FIG. 1
6 is a screen showing the pixel control of the thermal image sensor in the disaster prevention state detection alarm system of the power plant of FIG. 1

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. It should be noted that, in the accompanying drawings, the same reference number is used as much as possible when indicating the same configuration in other drawings.

In addition, in describing the present invention, when it is determined that a detailed description of a related known function or a known configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, certain features shown in the drawings are enlarged or reduced or simplified for ease of description, and the drawings and their components are not necessarily drawn to scale. However, those skilled in the art will readily understand these details.

1 is a block diagram schematically showing a disaster prevention state detection and alarm system of a power plant power facility according to the present invention, and FIG. 2 is a block diagram showing a more specific configuration of the risk detection determination unit of FIG.

As shown in FIG. 1, the disaster prevention state detection alarm system of a power plant according to the present invention includes a detection unit 100 for detecting partial discharge, temperature, smoke, and flame in the power facility, and the detection unit 100 Consisting of an analysis unit 200 that receives and analyzes each of the information data generated, the detection unit 100 includes a UHF sensor 110 that detects partial discharge occurring inside the power facility, and a certain part inside the power facility A thermal image sensor 120 that detects a temperature for, and a CCTV 130 installed near the power facility to detect smoke and flames generated in the power facility and a portion adjacent thereto, and the analysis unit 200 is a partial discharge database 210 that receives and stores partial discharge information detected from the UHF sensor 110, and thermal image data that receives and stores temperature information detected from the thermal image sensor 120 The base 220, smoke and flame analysis units 230 and 240 for analyzing the smoke and flame detected from the CCTV 130 in comparison with the reference smoke concentration and flame, the partial discharge database 210, and Receives the partial discharge and thermal image information stored in the thermal image database 220 to construct big data, and analyzes the risk of the power facility 100 based on the established big data to identify danger signs in real time. It comprises a risk detection determination unit 250 that is transmitted to the manager.

Here, the power facility is installed in a building or factory that uses a large amount of power, and is divided into a high-voltage cable, a transformer, a gas insulated switchgear (GIS), a switch, a power receiving facility, a switchboard, etc. Various parts are installed inside the facility to distribute and stably supply power. The power facilities may be a single power facility, and a plurality of power facilities may be configured in a complex manner.

On the other hand, devices or parts installed inside the power facility are various mold-type insulation such as busbar, vacuum breaker (VCB), instrument transformer (PT), wattage meter (MOF), load switch (LBS), bushing element, etc. It is a component that is required to predict the deterioration of insulation and equipment and equipment connection parts.

In addition, the disaster prevention state detection and alarm system of a power plant power facility according to the present invention is applied as a device for monitoring facilities such as a molded case circuit breaker (MCCB), which is a component device on the low-voltage side of the power facility, and various distribution lines. Can be used.

Meanwhile, 260, which is not described, is a pixel control unit and controls information on temperature stored in the thermal image database 220.

In addition, although it is described that the temperature is detected using the thermal image sensor 220 in the embodiment of the present invention, the temperature is not limited thereto, and the temperature may be detected using a temperature sensor.

Here, the risk detection determining unit 250 is a reference value setting unit 251, a distributed storage unit 252, a data processing unit 253, an event generating unit 254, a placement unit 255, as shown in FIG. ) And an automatic reference value update unit 256.

The reference value setting unit 251 installs the UHF sensor 210 and the thermal image sensor 220 for each place in the power facility, and the thermal image sensor 220 sets reference temperature data for each area of the place, and the The UHF sensor 210 sets the reference discharge data of the sensor for each location. That is, the reference value setting unit 251 has preset reference data for temperature and partial discharge data.

The distributed storage unit 252 stores temperature data detected from the thermal image sensor 220, and extracts temperature data for each location and area, and stores the maximum temperature data for each area along with the place name and area name. It is stored in units of days/hours/minutes/seconds.

In addition, the distributed storage unit 252 stores partial discharge data detected from the UHF sensor 210, and extracts partial discharge data for each place of the partial discharge data and links the place name, area name, and discharge data for each area. Save in /month/day/hour/minute/second unit.

The data processing unit 253 converts the temperature data extracted for each location and area from the distributed storage unit 252 and the partial discharge data extracted for each location to the temperature reference data and the partial discharge reference data set in the reference value setting unit 251. It compares and transfers the result to the event generator 254.

When the temperature data and partial discharge data processed by the data processing unit 253 are greater than the reference data of the reference value setting unit 251, the event generator 254 stores temperature and discharge event information and displays a pop-up, respectively. At this time, the temperature and discharge events can be checked by an administrator through an alarm or display.

The placement unit 255 automatically extracts average data by time, daily, monthly, and quarterly based on temperature data and partial discharge data detected in real time from the UHF sensor 210 and the thermal image sensor 220. For this, the batch process is executed to generate and store the average reference data.

The automatic reference value update unit 256 automatically updates the reference setting temperature data and partial discharge data based on the temperature data and partial discharge data of the average reference data generated by the arrangement unit 255.

On the other hand, the disaster prevention state detection and alarm system of power plant power facilities according to the present invention is built with RDBMS (Relational Data Base Management System), an integrated database that stores data, temperature and partial discharge data, reference value setting data, and event data. , Average data (hour, day, month, quarter), etc. are accumulated.

In addition, IoT uses a Quary-based analysis engine in the RDBMS, and the primary reference value information of partial discharge and temperature is generated in the order of hourly, daily, monthly, and quarterly average data, and to identify abnormal signs of partial discharge. The temperature is set in several areas, and information on the temperature change point that occurs during partial discharge is generated, and when an abnormal symptom point is created, a pop-up is displayed through an event.

3 is a view showing an example of detecting the temperature and partial discharge of a busbar and a connection part using a UHF sensor and a thermal image sensor in the disaster prevention state detection alarm system of the power plant of FIG. 1.

As shown in FIG. 3, a plurality of thermal image sensors are used to detect partial discharge and temperature of the connection part (B) including the bus bar for each area, and the result is stored in a database.

In other words, by using the partial discharge and temperature data detected for each region, average data is generated by time, daily, monthly, and quarterly, and at this time, the temperature is set in several regions to check the abnormal signs of partial discharge and partial discharge. Generates information on the point of temperature change that occurs during the event, and generates an event for the point where the abnormality occurs.

FIG. 4 is a view showing the analysis contents on a monitor screen in the disaster prevention state detection alarm system of the power plant of FIG. 1.

As shown in FIG. 4, the trend of the entire facility and individual facilities is analyzed to display the partial discharge size and real-time temperature in real time, as well as the discharge and thermal image size, as well as event information on the discharge and thermal images.

In addition, the administrator can check the partial discharge and temperature information for each facility on a daily, weekly, monthly, or annual basis while viewing the monitor screen.

5 is a screen showing the pixel control of the thermal image sensor in the disaster prevention state detection alarm system of the power plant of FIG. 1.

As shown in Fig. 5, by controlling the temperature data of the thermal image sensor, each area can be set to detect the detailed temperature. The setting method is by clicking the start point with a mouse and clicking the end of the area to set the monitoring area. The temperature information for that part is detected. At this time, CCTV video is also provided at the same time when setting the area.

For example, a closed space inside a panel of a high-pressure facility can more efficiently manage deterioration information for each facility by subdividing the monitoring area by temperature distribution of 20 to 100°C.

In addition, it is possible to prevent a fire accident in advance by checking the accident sign points in a confined space where a high current flows at all times, such as a transformer and a special high voltage circuit breaker.

6 is a screen showing pixel control of a thermal image sensor in the disaster prevention state detection alarm system of the power plant of FIG. 1.

On the other hand, although shown and described in specific embodiments to illustrate the technical idea of the present invention, the present invention is not limited to the same configuration and operation as the specific embodiment as described above, and various modifications do not depart from the scope of the present invention. May be carried out within the limits. Therefore, such modifications should be regarded as belonging to the scope of the present invention, and the scope of the present invention should be determined by the claims to be described later.

100: detection unit 110: UHF sensor
120: thermal image sensor 130: CCTV
200: analysis unit
210: partial discharge database 220: thermal image database
230: smoke analysis unit 240: flame analysis unit
250: risk detection determination unit 260: pixel control unit

Claims (8)

A detection unit that detects partial discharge, temperature, smoke and flame in the power facility,
It is composed of an analysis unit that analyzes based on each information data detected by the detection unit,
The detection unit includes a UHF sensor that detects a partial discharge occurring inside the power facility, a thermal image sensor that detects a temperature for a certain part of the power facility, and is installed near the power facility to be installed in the power facility and Including a CCTV that detects smoke and flame generated in the adjacent part,
The analysis unit receives and stores partial discharge information detected from the UHF sensor, a thermal image database receives and stores temperature information detected from the thermal image sensor, and smoke detected from the CCTV and A smoke and flame analysis unit that analyzes the flame in comparison with the reference smoke concentration and flame, and the partial discharge and thermal image information stored in the partial discharge database and the thermal image database are received to construct big data, and the constructed It includes a risk detection judgment unit that analyzes risk detection for the power facility based on big data and delivers risk symptoms to the manager in real time,
The risk detection determination unit
The UHF sensor and the thermal image sensor are installed for each place in the power facility, the thermal image sensor sets the reference temperature data for each area of the place, and the UHF sensor is a reference value setting unit that sets the reference discharge data of the sensor for each place. Wow,
A distributed storage unit for storing partial discharge data detected from the UHF sensor and temperature data detected from a thermal image sensor,
A data processing unit that compares the temperature data extracted for each location and area from the distributed storage unit and the partial discharge data extracted for each location with the temperature reference data and the partial discharge reference data set in the reference value setting unit and delivers the result;
An event generator configured to store temperature event and discharge event information and display a pop-up respectively when the temperature data and partial discharge data processed by the data processing unit are greater than the reference data of the reference value setting unit;
Based on the temperature data and partial discharge data detected in real time from the UHF sensor and the thermal image sensor, a batch process is executed to automatically extract average data by time, daily, monthly, and quarterly to generate and store average reference data. And the placement unit to do it,
Disaster prevention state of a power plant power facility, characterized in that it comprises an automatic reference value update unit that automatically updates the reference setting temperature data and partial discharge data based on the temperature data and partial discharge data of the average reference data generated by the arrangement unit. Detection alarm system. The system of claim 1, wherein the danger detection determination unit displays a result on a monitor screen of the power facility. The system of claim 1, wherein the power facility is any one of a high-voltage cable, a transformer, a GIS, a switch, a power receiving facility, and a switchboard. The apparatus of claim 3, wherein the equipment or parts installed inside the power facility is a bus bar, a vacuum circuit breaker (VCB), an instrument transformer (PT), a power meter (MOF), a load switch (LBS), a bushing element, and various types of equipment. Disaster prevention state detection alarm system of a power plant power facility, characterized in that it is any one of molded insulators, device connection parts, and components requiring prediction of insulation deterioration. [2] The system of claim 1, further comprising a pixel controller for controlling temperature information stored in the thermal image database. delete The method of claim 1, wherein the distributed storage unit extracts temperature data for each location and each area from the data information detected from the thermal image sensor, and the maximum temperature data for each area along with the place name and area name, and year/month/day/hour/minute. Disaster prevention state detection alarm system of power plant power equipment, characterized in that stored in / second unit. The method of claim 1, wherein the distributed storage unit extracts the partial discharge data detected from the UHF sensor for each place, and stores the place name, area name, and discharge data for each area in units of year/month/day/hour/minute/second. Disaster prevention condition detection and alarm system of a power plant power facility, characterized in that stored as.

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