High-voltage cabinet state on-line monitoring system based on multi-parameter fusion analysis

Abstract

The utility model provides a multi-parameter fusion analysis high-voltage cabinet state on-line monitoring system, which belongs to the technical field of switch cabinet partial discharge monitoring and comprises a data analysis and storage device, a data concentrator and a partial discharge detector, and the partial discharge detector is installed on the surface of a shell of a high-voltage switch cabinet to be detected in a magnetic attraction mode. A control panel and a magnetic attraction assembly are installed on the surface of a shell of the partial discharge detector. A processor module, an ultrasonic sensor, a ground wave sensor, a temperature sensor, a humidity sensor, a power supply module, a wireless communication module and a data storage module are arranged in the shell, and the control panel is electrically connected with the processor module; the power supply module supplies power to each module in the partial discharge detector and the control panel; the data storage module is used for storing historical sensing signal data; the partial discharge detectors collect sensing data and send the sensing data to the corresponding data concentrators, and the data concentrators send the sensing data to the data analysis and storage equipment; and the data analysis and storage equipment is used for judging the partial discharge condition of the high-voltage switch cabinet.

Description

Technical Field

[0001] The utility model relates to the technical field of partial discharge monitoring of switch cabinets, and in particular to an online monitoring system for high-voltage cabinet states with multi-parameter fusion analysis. Background Art

[0002] In the past, the operation and maintenance of high-voltage switchgear relied on manual inspections. Traditional manual inspections have the risk of electric shock, high operation and maintenance costs, low automation, inability to monitor in real time, and lack of statistical analysis of inspection data. Before the insulation of high-voltage switchgear is damaged, it will be accompanied by strong partial discharge and temperature rise. The strength of partial discharge of electrical equipment in the high-voltage switchgear and the size of the equipment temperature can reflect the insulation status of the corresponding equipment. Therefore, it is urgent to monitor the operating status of high-voltage switchgear in real time online, and arrange maintenance plans and measures according to the operating status of the equipment and the degree of insulation degradation, so as to improve the automation capability of equipment operation and maintenance and reduce accidents.

[0003] At present, the prior art provides a portable switch cabinet partial discharge inspection system for on-site use, in which each sensor is installed on the surface of the switch cabinet housing for measurement, and analysis is performed based on the characteristic signals collected in real time, such as current signals and temperature signals, and then transmitted to the data processing unit via Bluetooth signals for data history trend analysis and processing, so as to determine whether there is partial discharge and the severity of the discharge on-site. This method that requires on-site operation has the disadvantages of high cost and low efficiency. In addition, regular manual maintenance is performed in a low-voltage environment, which cannot fully reflect the actual operation of the equipment, and the efficiency of obtaining the judgment result is also slower. Utility Model Content

[0004] In view of this, the utility model provides an online monitoring system for the status of a high-voltage cabinet with multi-parameter fusion analysis, in which a partial discharge detector with an integrated sensor is arranged on the surface of each switch cabinet, and the sensor signal is uploaded in real time by wireless transmission to realize online monitoring of the high-voltage switch cabinet, which is more efficient than manual inspection.

[0005] The technical solution adopted by the embodiment of the utility model to solve the technical problem is:

[0006] A multi-parameter fusion analysis high-voltage cabinet status online monitoring system, applied to real-time monitoring of the insulation status of a high-voltage switch cabinet, comprises a data analysis storage device, and a data concentrator wirelessly connected to the data analysis storage device, each of the data concentrators corresponding to at least two partial discharge detectors wirelessly connected, the partial discharge detectors are magnetically mounted on the shell surface of the high-voltage switch cabinet to be tested, and the data concentrator is mounted at the center of the distribution range of the partial discharge detectors under its jurisdiction;

[0007] The partial discharge detector has a shell, a control panel and a magnetic attraction component are mounted on the surface of the shell, and a through hole for wiring is provided on the shell;

[0008] The processor module, as well as an ultrasonic sensor, a ground wave sensor, a temperature sensor, a humidity sensor, a power module, a wireless communication module, and a data storage module electrically connected to the processor module are installed inside the shell, and the control panel is electrically connected to the processor module; the power module supplies power to each module in the partial discharge detector and the control panel;

[0009] The data storage module is used to store historical sensor signal data;

[0010] The partial discharge detector is used to monitor the high-voltage switch cabinet in real time, collect sensor data and send it to the corresponding data concentrator;

[0011] The data concentrator is used to send the signals sent in real time by each of the partial discharge detectors to the data analysis and storage device;

[0012] The data analysis storage device is used to perform signal analysis, determine the partial discharge situation of the high-voltage switch cabinet, and monitor the working status of each partial discharge detector, and generate corresponding data reports, alarm information and trend charts.

[0013] Preferably, the data concentrator, the data analysis and storage device, and each of the partial discharge detectors use any of LoRa, 4G, and 5G for communication connection and data transmission.

[0014] Preferably, the data storage module stores data in a form of automatically overwriting or retaining N days of data, and the partial discharge detector supports external devices to collect locally stored historical sensor signal data via a data line.

[0015] Preferably, the power supply module adopts a direct current power supply; the power supply module has a low voltage alarm unit, and the low voltage alarm unit is connected to the processor module for transmitting a low voltage alarm signal.

[0016] Preferably, the partial discharge detector outputs signals to the data concentrator in real time, and the output signals include ultrasonic sensor signals, geomagnetic wave sensor signals, temperature sensor signals, humidity sensor signals, and the low-pressure alarm signal.

[0017] Preferably, the control panel has a color liquid crystal display and control buttons; or, the control panel adopts a touch screen.

[0018] Preferably, the magnetic attraction assembly includes a group of magnets with flat surfaces, each of the magnets is evenly distributed according to the center of gravity of the partial discharge detector, and the outer shell surface of the partial discharge detector is provided with grooves for placing the magnets and bolt holes for fixing the magnets, and the magnets are installed on the outer shell surface of the partial discharge detector by bolts.

[0019] Preferably, an RFID tag is installed on the surface of the partial discharge detector housing, and the RFID tag records the code of the high-voltage switch cabinet to be tested and the code of the partial discharge detector.

[0020] Preferably, the device further comprises a scanner for scanning the RFID tag.

[0021] It can be seen from the above technical scheme that the multi-parameter fusion analysis online monitoring system for the status of a high-voltage cabinet provided in the embodiment of the utility model is applied to the real-time monitoring of the insulation status of a high-voltage switch cabinet, and includes a data analysis storage device, a data concentrator and a partial discharge detector. The partial discharge detector is installed on the outer shell surface of the high-voltage switch cabinet to be tested by magnetic attraction, and the data concentrator is installed at the center of the distribution range of the partial discharge detector under its jurisdiction; the partial discharge detector has an outer shell, and a control panel and a magnetic attraction component are installed on the surface of the outer shell; the processor module, as well as an ultrasonic sensor, a geomagnetic wave sensor, a temperature sensor, and a humidity sensor electrically connected to the processor module are installed inside the outer shell. The control panel is electrically connected to the processor module; the power module supplies power to each module in the partial discharge detector and the control panel; the partial discharge detector is used to monitor the high-voltage switch cabinet in real time, collect sensor data and send it to the corresponding data concentrator; the data concentrator is used to send the signals sent by each partial discharge detector in real time to the data analysis and storage device; the data analysis and storage device is used to perform signal analysis, determine the partial discharge situation of the high-voltage switch cabinet, and monitor the working status of each partial discharge detector, and generate corresponding data reports, alarm information and trend charts. Through this solution, real-time monitoring of switch cabinet characteristic signals can be achieved, centralized monitoring of switch cabinet status can be achieved, abnormal situations can be discovered in time, and it has the advantage of efficient monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 Schematic diagram of the high-voltage cabinet status online monitoring system with multi-parameter fusion analysis of the utility model.

[0023] Figure 2 This is an example diagram of a partial discharge detector.

[0024] In the figure: 1- device front cover, 2- back cover, 3- magnetic suction component, 4- control panel, 5- processor module, 6- power module, 7- antenna, 8- various sensors, 9- RFID tag. DETAILED DESCRIPTION

[0025] The technical solution and technical effects of the present invention are further described in detail below in conjunction with the accompanying drawings of the present invention.

[0026] refer to Figure 1 As shown, the utility model provides a high-voltage cabinet state online monitoring system with multi-parameter fusion analysis, which is applied to the real-time monitoring of the insulation state of the high-voltage switch cabinet. The system includes a data analysis storage device, and a data concentrator connected to the data analysis storage device by wireless communication. Each data concentrator is connected to at least two partial discharge detectors corresponding to wireless communication. The partial discharge detector is installed on the shell surface of the high-voltage switch cabinet to be tested by magnetic attraction.

[0027] refer to Figure 2 As shown, the partial discharge detector has a shell, which consists of a front cover and a rear cover. A magnetic attraction component is installed at the bottom of the rear cover, including a group of magnets with flat surfaces. The magnets are evenly distributed according to the center of gravity. The surface of the shell of the partial discharge detector is provided with grooves for placing the magnets and bolt holes for fixing the magnets. The magnets are installed on the surface of the shell of the partial discharge detector by bolts. Through the magnetic attraction component, the partial discharge detector can be adsorbed on the surface of the switch cabinet, which is convenient to install.

[0028] The partial discharge detector has a control panel, a processor module, an ultrasonic sensor, a ground wave sensor, a temperature sensor, a humidity sensor, a power module, a wireless communication module, and a data storage module, wherein the control panel is installed on the front cover (the control panel can be embedded in a hole on the upper surface of the shell, or a groove structure can be set on the shell for placing the control panel. In this case, a through hole can be opened in the groove to pass the connecting line of the control panel), the processor module is installed inside the shell, and the ultrasonic sensor, ground wave sensor, temperature sensor, humidity sensor, power module, wireless communication module, and data storage module electrically connected to the processor module are installed, and the control panel is electrically connected to the processor module; the power module supplies power to each module and the control panel in the partial discharge detector; the data storage module is used to store historical sensor signal data, and the data storage form of the pluggable data storage module is to automatically overwrite or retain N days of data. The partial discharge detector supports external devices to collect locally stored historical sensor signal data through data lines. Through the open interface of the control panel, the external device can directly read the stored historical data. When there is a data transmission interruption problem between the partial discharge detector and the data concentrator, the situation of the switch cabinet can be understood by reading the historical data stored locally in the partial discharge detector;

[0029] The partial discharge detector is used to monitor the high-voltage switchgear in real time, collect sensor data and send it to the corresponding data concentrator;

[0030] The data concentrator is used to send the real-time signals sent by each partial discharge detector to the data analysis and storage device;

[0031] The data analysis and storage device is used to perform signal analysis, determine the partial discharge situation of the high-voltage switchgear, and monitor the working status of each partial discharge detector, and generate corresponding data reports, alarm information and trend charts.

[0032] The data concentrator, data analysis and storage device, and each partial discharge detector use LoRa, 4G, or 5G for communication connection and data transmission.

[0033] The power module uses a DC power supply (such as a lithium battery); the power module has a low-voltage alarm unit, which is connected to the processor module and is used to transmit a low-voltage alarm signal to the data concentrator. During centralized monitoring, if a low-power prompt is found, the staff can be reminded to deal with the low-power problem in a timely manner.

[0034] Therefore, the partial discharge detector outputs signals to the data concentrator in real time. The output signals include ultrasonic sensor signals, geomagnetic wave sensor signals, temperature sensor signals (temperature of high-voltage power equipment), humidity sensor signals (humidity of the environment in which the high-voltage power equipment is located), and low-voltage alarm signals. The partial discharge detector has an ultra-high frequency acquisition module inside, which is used to collect the ultra-high frequency electromagnetic wave components generated by partial discharge. The signals reported by the partial discharge detector can also include ultra-high frequency electromagnetic wave component signals.

[0035] The control panel can be a color LCD display and control buttons, or a touch screen.

[0036] Furthermore, a readable and writable RFID tag may be installed on the surface of the partial discharge detector casing. The RFID tag records the code of the high-voltage switchgear to be tested and the code of the partial discharge detector. If the partial discharge detector falls or moves for some reason, the tag information can be read by a scanner to find the partial discharge detector and quickly return it to its original position. The RFID tag can be easily modified. When the corresponding relationship between the number of the partial discharge detector and the switchgear changes, the partial discharge detector can be put into use again after modifying the RFID tag information.

[0037] Furthermore, the data analysis device may be a server, a PC, or a mobile terminal.

[0038] This solution replaces traditional Bluetooth communication with LoRa and 4G wireless transmission, which can achieve high-speed data transmission of up to 200Mbps, signal coverage of up to 30 kilometers, dedicated LAN or 4G stable communication, and relay connection of up to 100 detection devices, which can effectively improve data transmission speed and efficiency.

[0039] The partial discharge detector transmits the collected data to the data concentrator via LoRa and 4G. The data concentrator then collects the data from multiple partial discharge detectors and transmits them to the mobile APP and PC background. The mobile APP and PC background generate corresponding data reports, alarm information and trend charts, etc., monitor the strength of partial discharge of electrical equipment in the high-voltage switchgear and equipment temperature changes, judge the insulation status of the corresponding equipment, scientifically formulate operation and maintenance plans and measures, prevent insulation failures of 10kV ring network cabinets, improve the power supply reliability of the distribution network, and reduce accidents.

[0040] The mobile APP and PC backend system automatically record abnormal events, generate historical change curves, data comparison curves, and analyze the operating conditions of equipment by superimposing various parameters, providing more comprehensive, accurate and intuitive decision-making assistance for the analysis of the insulation status of the switch cabinet. For example, the ultrasonic (AE), geoelectric wave (TEV), and temperature warning thresholds can be set. When the real-time detection data exceeds the warning threshold, the alarm information is actively pushed to the operation and maintenance personnel, and the abnormal points are quickly marked, the voltage drop abnormality search time is checked, and the detected data is uploaded to the designated server for data sharing.

[0041] The utility model solves the problem of real-time online monitoring of the degree of insulation degradation inside a high-voltage switch cabinet, extracts and analyzes characteristic graphs, and adopts multi-parameter fusion analysis to more accurately judge the degree of partial discharge and the type of partial discharge.

[0042] The above disclosure is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. A person skilled in the art can understand that all or part of the processes of the above embodiments and equivalent changes made according to the claims of the present invention still fall within the scope covered by the utility model.

Claims

1. A multi-parameter fusion analysis high-voltage cabinet status online monitoring system, applied to real-time monitoring of the insulation status of high-voltage switch cabinets, characterized in that: It includes a data analysis and storage device, and a data concentrator connected to the data analysis and storage device by wireless communication, each of the data concentrators is connected to at least two partial discharge detectors by wireless communication, the partial discharge detectors are installed on the shell surface of the high-voltage switch cabinet to be tested by magnetic attraction, and the data concentrator is installed at the center of the distribution range of the partial discharge detectors under its jurisdiction; The partial discharge detector has a shell, a control panel and a magnetic attraction component are mounted on the surface of the shell, and a through hole for wiring is provided on the shell; A processor module, as well as an ultrasonic sensor, a ground wave sensor, a temperature sensor, a humidity sensor, a power module, a wireless communication module, and a data storage module electrically connected to the processor module are installed inside the shell, and the control panel is electrically connected to the processor module; the power module supplies power to each module in the partial discharge detector and the control panel; The data storage module is used to store historical sensor signal data; The partial discharge detector is used to monitor the high-voltage switch cabinet in real time, collect sensor data and send it to the corresponding data concentrator; The data concentrator is used to send the signals sent in real time by each of the partial discharge detectors to the data analysis and storage device; The data analysis storage device is used to perform signal analysis, determine the partial discharge situation of the high-voltage switch cabinet, and monitor the working status of each partial discharge detector, and generate corresponding data reports, alarm information and trend charts.

2. The multi-parameter fusion analysis high-voltage cabinet status online monitoring system according to claim 1 is characterized in that: The data concentrator, the data analysis and storage device, and each of the partial discharge detectors use LoRa, 4G, or 5G for communication connection and data transmission.

3. The multi-parameter fusion analysis high-voltage cabinet status online monitoring system according to claim 2 is characterized in that: The data storage module has a data storage form of automatically overwriting or retaining N days of data, and the partial discharge detector supports external devices to collect locally stored historical sensor signal data through a data line.

4. The multi-parameter fusion analysis high-voltage cabinet status online monitoring system according to claim 1 is characterized in that: The power supply module adopts a direct current power supply; the power supply module has a low voltage alarm unit, and the low voltage alarm unit is connected to the processor module for transmitting a low voltage alarm signal.

5. The multi-parameter fusion analysis high-voltage cabinet status online monitoring system according to claim 4 is characterized in that: The partial discharge detector outputs signals to the data concentrator in real time, and the output signals include ultrasonic sensor signals, geomagnetic wave sensor signals, temperature sensor signals, humidity sensor signals, and the low-voltage alarm signal.

6. The multi-parameter fusion analysis high-voltage cabinet status online monitoring system according to claim 1 is characterized in that: The control panel has a color liquid crystal display and control buttons; or, the control panel adopts a touch screen.

7. The multi-parameter fusion analysis high-voltage cabinet status online monitoring system according to claim 1 is characterized in that: The magnetic attraction assembly includes a group of magnets with flat surfaces, and each of the magnets is evenly distributed according to the center of gravity of the partial discharge detector. The outer shell surface of the partial discharge detector is provided with grooves for placing the magnets and bolt holes for fixing the magnets. The magnets are installed on the outer shell surface of the partial discharge detector by bolts.

8. The multi-parameter fusion analysis high-voltage cabinet status online monitoring system according to claim 7 is characterized in that: An RFID tag is installed on the surface of the partial discharge detector housing, and the RFID tag records the code of the high-voltage switch cabinet to be tested and the code of the partial discharge detector.

9. The multi-parameter fusion analysis high-voltage cabinet status online monitoring system according to claim 8 is characterized in that: Also included is a scanner for scanning the RFID tag.

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