A high-voltage electrical equipment integrated comprehensive monitoring system
By using an integrated monitoring system that integrates multiple sensors and servers for data fusion and analysis, the real-time and accuracy issues of traditional monitoring systems are resolved. This enables real-time and comprehensive health status assessment and fault early warning for high-voltage electrical equipment, thereby improving the reliability of equipment operation and decision support.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- ZHUHAI YUHAI ELECTRIC POWER CO LTD
- Filing Date
- 2025-06-13
- Publication Date
- 2026-06-12
AI Technical Summary
Traditional monitoring of high-voltage electrical equipment relies on regular manual inspections and distributed sensors, which suffers from isolated data, poor real-time performance, and delayed fault warnings. It cannot fully reflect the health status of the equipment, and its accuracy and reliability are insufficient in complex environments, making it difficult to meet the refined and real-time monitoring needs of modern power plants.
The system employs video monitoring equipment, adsorption-type electromagnetic oscillation sensors, partial discharge monitoring sensors, and SF6 gas monitoring sensors, combined with machine vision inspection servers, electromagnetic oscillation monitoring servers, partial discharge monitoring servers, and SF6 gas monitoring servers. Data processing and analysis are performed through high-speed transmission networks and efficient algorithm servers to achieve multi-source data fusion, and the data is visualized using an online detection digital twin platform.
It enables real-time and comprehensive health status assessment of high-voltage electrical equipment, improves the accuracy of fault diagnosis and early warning, enhances the reliability and real-time performance of equipment operation, and provides intuitive equipment status information to facilitate timely decision-making.
Smart Images
Figure CN224355885U_ABST
Abstract
Description
Technical Field
[0001] This utility model belongs to the field of high-voltage electrical equipment monitoring technology, specifically relating to an integrated comprehensive monitoring system for high-voltage electrical equipment. Background Technology
[0002] Modern large-scale power plants, as the core hubs of energy supply, are crucial to the national economic lifeline due to their safe and stable operation. High-voltage electrical equipment within power plants, including power transformers, GIS (Gas Insulated Switchgear) and its associated SF6 gas stations, gas turbines, generator excitation carbon brushes, and instrument transformers, are key links in ensuring power production and transmission. With the rapid development of the power industry, power plant scale is constantly expanding, and equipment types are becoming increasingly complex. Traditional monitoring relies on periodic manual inspections and distributed sensors. Manual inspections suffer from low efficiency, poor real-time performance, and incomplete coverage. Inspectors often fail to detect early equipment faults, and the limited inspection cycle leads to delayed responses to sudden faults. While distributed sensors can collect local data, the data is isolated, lacks integration and sharing, and cannot comprehensively reflect the overall operating status of the equipment. Furthermore, their accuracy and reliability under complex operating conditions are insufficient, failing to meet the refined and real-time monitoring needs of modern power plants. Existing single-parameter monitoring equipment has limitations, monitoring only local data and failing to comprehensively reflect the equipment's health status. In addition, traditional monitoring systems often rely on experience-based threshold alarms, lacking intelligent analysis and early warning functions, making it difficult to accurately diagnose complex equipment faults early. Modern power plant equipment operates in complex environments, facing challenges such as high voltage, high current, and strong electromagnetic interference. Traditional monitoring equipment is susceptible to interference in harsh environments, affecting data accuracy and equipment reliability, making it difficult to meet high-precision monitoring requirements. Simultaneously, equipment aging and diverse failure modes render traditional monitoring solutions inadequate for new demands, necessitating a more advanced and comprehensive monitoring technology system. Therefore, an integrated comprehensive monitoring solution is urgently needed. Utility Model Content
[0003] The purpose of this utility model is to provide an integrated monitoring system for high-voltage electrical equipment to solve the technical problems of traditional monitoring relying on manual periodic inspections, distributed sensors and single-parameter monitoring equipment, which result in isolated data, poor real-time performance, delayed fault warnings and inability to fully reflect the health status of transformers.
[0004] To achieve the above objectives, the present invention adopts the following technical solution:
[0005] An integrated monitoring system for high-voltage electrical equipment includes video monitoring equipment, an adsorption-type electromagnetic oscillation sensor, a partial discharge monitoring sensor, and an SF6 gas monitoring sensor. The video monitoring equipment is installed on the transformer equipment, the generator gas turbine, and the generator excitation carbon brushes. The adsorption-type electromagnetic oscillation sensor and the partial discharge monitoring sensor are installed on the main transformer equipment. The video monitoring equipment is connected to a machine vision inspection server, the adsorption-type electromagnetic oscillation sensor is connected to an electromagnetic oscillation monitoring server, the partial discharge monitoring sensor is connected to a partial discharge monitoring server, and the SF6 gas monitoring sensor is installed at the SF6 equipment converter and connected to an SF6 gas monitoring server. All three servers—the machine vision inspection server, the electromagnetic oscillation monitoring server, the partial discharge monitoring server, and the SF6 gas monitoring server—are connected to a high-voltage electrical equipment online monitoring and diagnostic analysis server.
[0006] The transformer equipment is also equipped with a transformer core clamp monitoring device, which consists of a transformer core clamp sensor, a signal conditioning circuit, and a signal measurement board based on a DSP.
[0007] The video monitoring equipment includes monitoring cameras and infrared thermal imaging monitoring cameras.
[0008] The monitoring cameras and infrared thermal imaging monitoring cameras are connected to the NVR hard disk recorder and machine vision inspection server via Category 6 shielded network cables.
[0009] The adsorption-type oscillation sensor is connected to a filter, which is connected to an electromagnetic oscillation monitoring server.
[0010] The signal transmission between the filter and the electromagnetic oscillation monitoring server uses the LoRa protocol.
[0011] The partial discharge monitoring sensor is installed at a distance of no less than 50cm from the transformer equipment.
[0012] The partial discharge monitoring sensor is also installed on the outer surface of the SF6 gas insulation equipment in the SF6 gas station.
[0013] The transformer equipment includes a main transformer and a distribution transformer.
[0014] The online monitoring and diagnostic analysis server for high-voltage electrical equipment is also connected to an online detection digital twin platform.
[0015] Compared with the prior art, the present invention has the following beneficial effects:
[0016] This invention provides an integrated monitoring system for high-voltage electrical equipment. It utilizes multiple sensors, including monitoring cameras, infrared thermal imaging cameras, and partial discharge monitoring sensors, to collect data in real time. This data is then processed and analyzed promptly through a high-speed transmission network and a high-efficiency algorithm server, significantly improving the real-time performance of the monitoring system and enabling rapid response to changes in equipment status. By using a high-voltage electrical equipment online monitoring and diagnostic analysis server to perform multi-source fusion of monitoring data from these sensors, a comprehensive health status assessment of high-voltage electrical equipment such as transformers is achieved, overcoming the limitations of traditional single-parameter monitoring. Intelligent analysis of the collected data using partial discharge monitoring servers and SF6 gas monitoring servers provides data support for subsequent fault diagnosis and early warning in the high-voltage electrical equipment online monitoring and diagnostic analysis server, effectively solving the problem of delayed fault warnings in traditional monitoring and improving the reliability of equipment operation. The monitoring and analysis results are visualized through a digital twin platform for online transformer monitoring in power plants, providing maintenance personnel with intuitive and comprehensive equipment status information, facilitating timely and accurate decision-making. Attached Figure Description
[0017] Figure 1 : A schematic diagram of an integrated monitoring system for high-voltage electrical equipment.
[0018] Labeling Explanation: 11. Monitoring Camera; 12. Infrared Thermal Imaging Monitoring Camera; 13. NVR Hard Disk Recorder; 14. Machine Vision Inspection Server; 15. Adsorption-type Electromagnetic Oscillation Sensor; 16. Filter; 17. Partial Discharge Monitoring Sensor; 18. Partial Discharge Monitoring Server; 19. Electromagnetic Oscillation Monitoring Server; 20. SF6 Gas Monitoring Sensor; 21. SF6 Gas Monitoring Server; 22. Transformer Core Clamp Sensor; 23. Core Clamp Monitoring Server; 24. Online Detection Digital Twin Platform; 25. High-Voltage Electrical Equipment Online Monitoring and Diagnostic Analysis Server; 100. Generator Gas Turbine; 200. Generator Excitation Carbon Brush; 300. Main Transformer; 400. Distribution Transformer; 500. SF6 Gas Station. Detailed Implementation
[0019] To further understand the present invention, the following detailed description is provided in conjunction with the accompanying drawings and specific embodiments. It should be understood that the embodiments are merely illustrative and not intended to limit the scope of the invention.
[0020] To further illustrate the technical means and effects of this utility model in achieving its intended purpose, the specific implementation methods, structural features and effects of this utility model are described in detail below with reference to the accompanying drawings and embodiments.
[0021] like Figure 1As shown, this embodiment performs real-time monitoring of the core high-voltage electrical equipment within the power plant. The core high-voltage electrical equipment mainly includes a generator gas turbine 100, a generator excitation carbon brush 200, a main transformer 300, a distribution transformer 400, and an SF6 gas station 500. The monitoring equipment includes video monitoring equipment, an adsorption-type electromagnetic oscillation sensor 15, a partial discharge monitoring sensor 17, and an SF6 gas monitoring sensor 20. The video monitoring equipment includes a monitoring camera 1 and an infrared thermal imaging monitoring camera 12. The video monitoring equipment is connected to a machine vision inspection server 14. The adsorption-type electromagnetic oscillation sensor 15 is connected to an electromagnetic oscillation monitoring server 19, the partial discharge monitoring sensor 17 is connected to a partial discharge monitoring server 18, and the SF6 gas monitoring sensor 20 is connected to an SF6 gas monitoring server 21. The machine vision inspection server 14, the electromagnetic oscillation monitoring server 19, the partial discharge monitoring server 18, and the SF6 gas monitoring server 21 are all connected to a high-voltage electrical equipment online monitoring and diagnostic analysis server 25. The specific installation of the above monitoring equipment is as follows:
[0022] Monitoring cameras 11 and infrared thermal imaging monitoring cameras 12 are installed on the generator gas turbine 100, generator excitation carbon brush 200, main transformer 300, and distribution transformer 400. These cameras are used to collect real-time video image data and infrared thermal imaging data from the generator gas turbine 100, generator excitation carbon brush 200, main transformer 300, and distribution transformer 400. The monitoring cameras 11 and 12 are connected to their respective network switches via Category 6 shielded network cables. The network switches are then connected to the NVR hard disk recorder 13 and the machine vision inspection server 14 via Category 6 shielded network cables. The monitoring cameras 11 and 12 transmit their real-time collected data to the network switches via Category 6 shielded network cables. The network switches then forward the received data, ultimately transmitting it to the NVR hard disk recorder 13 and the machine vision inspection server 14. The NVR hard disk recorder 13 receives the data and stores it for later review and playback. After receiving the data, the machine vision inspection server 14 performs real-time processing and analysis using the machine vision inspection algorithm integrated within the server. The machine vision inspection server 14 then transmits the processed video data to the high-voltage electrical equipment online monitoring and diagnostic analysis server 25.
[0023] An adsorption-type electromagnetic oscillation sensor 15 is installed on the main transformer 300 and the distribution transformer 400 to detect electromagnetic oscillation signals generated during their operation in real time. The adsorption-type electromagnetic oscillation sensor 15 is connected to a filter 16. The sensor converts the monitored electromagnetic oscillation signal into an electromagnetic oscillation electrical signal and transmits it to the filter 16. The filter 16 filters the electromagnetic oscillation electrical signal, removing noise and interference components while retaining useful electromagnetic oscillation signal characteristics, thereby improving signal quality and availability. The signal after filtering by the filter 16 is modulated and encoded using the LoRa protocol. The modulated signal is then wirelessly transmitted to the electromagnetic oscillation monitoring server 19. The electromagnetic oscillation monitoring server 19 demodulates and decodes the received data, extracts feature information from the electromagnetic oscillation signal, determines whether there is electromagnetic oscillation anomaly or fault in the equipment, and feeds back the analysis results to the high-voltage electrical equipment online monitoring and diagnostic analysis server 25, providing data support for the comprehensive diagnosis of the system.
[0024] Partial discharge monitoring sensors 17 are fixedly installed near the main transformer 300 and distribution transformer 400. The distance between the partial discharge monitoring sensors 17 and the transformer equipment must not be less than 50cm to avoid the safety risks and electromagnetic interference that may be caused by direct installation of the sensors on high-voltage equipment, while still being able to effectively monitor the partial discharge signals of the equipment. Furthermore, in this embodiment, the partial discharge monitoring sensors 17 are also fixed to the outer surface of the SF6 gas insulation equipment of the SF6 gas station using a strap. The partial discharge monitoring sensors 17 are connected to the partial discharge monitoring server 18 via a wireless network. The partial discharge monitoring sensors 17 monitor the partial discharge signals generated by the main transformer 300, distribution transformer 400, and SF6 gas station equipment in real time during operation, and convert the monitored signals into electrical signals and transmit them to the partial discharge monitoring server 18 via TCP / IP protocol. After receiving the data, the partial discharge monitoring server 18 analyzes the data using the partial discharge detection algorithm integrated in the server, extracts the feature information of the partial discharge signal, determines whether there is a partial discharge fault in the equipment, and feeds back the analysis results to the high-voltage electrical equipment online monitoring and diagnostic analysis server 25.
[0025] To further monitor internal faults in the transformer, this embodiment includes transformer core clamp monitoring devices on the main transformer 300 and distribution transformer 400. These devices consist of a high-precision through-type transformer core clamp sensor 22, a signal conditioning circuit, and a signal measurement board based on a DSP. The transformer core clamp sensor 22 converts the grounding current signal into a voltage signal. The signal conditioning circuit automatically switches the range based on the voltage magnitude, and the DSP-based signal measurement board performs digital filtering and calculation. When the internal insulation material of the transformer becomes damp or is damaged by mechanical or electrical factors, its insulation performance deteriorates, causing changes in the grounding current. By acquiring grounding current characteristic parameters in real time, the transformer core clamp sensor 22 can promptly reflect the insulation status of the transformer core and clamps. The transformer core clamp sensor 22 transmits the monitored data to the core clamp monitoring server 23. The core clamp monitoring server 23 decodes the transmitted coded data, restores it to identifiable monitoring information, extracts the specific characteristic parameters of the grounding current, performs trend analysis on the extracted characteristic parameters, analyzes whether there is a fault inside the transformer equipment, and transmits the analysis results to the high-voltage electrical equipment online monitoring and diagnostic analysis server 25 for final multi-source data fusion and evaluation.
[0026] In an SF6 gas station, the SF6 equipment converter is a critical location for changes in the state of SF6 gas. As the gas flows and transforms within the equipment, parameters such as SF6 gas pressure, temperature, and purity are prone to change. These changes can reflect the equipment's sealing performance, insulation capabilities, and the presence of internal faults. Therefore, in this embodiment, an SF6 gas monitoring sensor 20 is installed at the SF6 equipment converter to monitor SF6 gas pressure, temperature, and purity data in real time. The SF6 gas monitoring sensor 20 transmits the collected data to the SF6 gas monitoring server 21 via the TCP / IP protocol. After receiving the monitoring data, the SF6 gas monitoring server 21 analyzes the data using an SF6 gas state monitoring algorithm, extracts feature information, determines whether there are abnormalities such as gas leakage or decreased purity, and feeds the analysis results back to the high-voltage electrical equipment online monitoring and diagnostic analysis server 25.
[0027] The high-voltage electrical equipment online monitoring and diagnostic analysis server 25 receives and integrates monitoring data from the machine vision inspection server 14, the partial discharge monitoring server 18, the electromagnetic oscillation monitoring server 19, the SF6 gas monitoring server 21, and the iron core clamp monitoring server 23. It merges video data with the monitoring data for partial discharge, electromagnetic oscillation, and SF6 gas to form a comprehensive condition assessment of the high-voltage electrical equipment. After fusing the aforementioned multi-source data, the high-voltage electrical equipment online monitoring and diagnostic analysis server 25 visualizes the assessment results through the power plant transformer online detection digital twin platform 24.
[0028] The above embodiments are only used to illustrate the technical solution of this utility model and are not intended to limit it. Although the utility model has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of this utility model. Any modifications or equivalent substitutions that do not depart from the spirit and scope of this utility model should be covered within the protection scope of the claims of this utility model.
Claims
1. An integrated monitoring system for high-voltage electrical equipment, characterized in that, The system includes video monitoring equipment, an adsorption-type electromagnetic oscillation sensor (15), a partial discharge monitoring sensor (17), and an SF6 gas monitoring sensor (20). The video monitoring equipment is installed on the transformer equipment, the generator gas turbine (100), and the generator excitation carbon brush (200). The adsorption-type electromagnetic oscillation sensor (15) and the partial discharge monitoring sensor (17) are installed on the main transformer equipment. The video monitoring equipment is connected to the machine vision inspection server (14), the adsorption-type electromagnetic oscillation sensor (15) is connected to the electromagnetic oscillation monitoring server (19), the partial discharge monitoring sensor (17) is connected to the partial discharge monitoring server (18), and the SF6 gas monitoring sensor (20) is installed at the SF6 equipment converter. The SF6 gas monitoring sensor (20) is connected to the SF6 gas monitoring server (21). The machine vision inspection server (14), the electromagnetic oscillation monitoring server (19), the partial discharge monitoring server (18), and the SF6 gas monitoring server (21) are all connected to the high-voltage electrical equipment online monitoring and diagnostic analysis server (25).
2. The integrated monitoring system for high-voltage electrical equipment according to claim 1, characterized in that, The transformer equipment is also equipped with a transformer core clamp monitoring device, which consists of a transformer core clamp sensor (22), a signal conditioning circuit and a signal measurement board with DSP as the core.
3. The integrated monitoring system for high-voltage electrical equipment according to claim 1, characterized in that, The video monitoring equipment includes a monitoring camera (11) and an infrared thermal imaging monitoring camera (12).
4. The integrated monitoring system for high-voltage electrical equipment according to claim 3, characterized in that, The monitoring camera (11) and the infrared thermal imaging monitoring camera (12) are connected to the NVR hard disk recorder (13) and the machine vision inspection server (14) via Category 6 shielded network cables.
5. The integrated monitoring system for high-voltage electrical equipment according to claim 1, characterized in that, The adsorption-type oscillation sensor (15) is connected to a filter (16), and the filter (16) is connected to an electromagnetic oscillation monitoring server (19).
6. The integrated monitoring system for high-voltage electrical equipment according to claim 5, characterized in that, The signal transmission between the filter (16) and the electromagnetic oscillation monitoring server (19) adopts the LoRa protocol.
7. The integrated monitoring system for high-voltage electrical equipment according to claim 1, characterized in that, The partial discharge monitoring sensor (17) is installed at a distance of not less than 50cm from the transformer equipment.
8. The integrated monitoring system for high-voltage electrical equipment according to claim 1, characterized in that, The partial discharge monitoring sensor (17) is also installed on the outer surface of the SF6 gas insulation equipment of the SF6 gas station.
9. The integrated monitoring system for high-voltage electrical equipment according to claim 1, characterized in that, The transformer equipment includes a main transformer (300) and a distribution transformer (400).
10. The integrated monitoring system for high-voltage electrical equipment according to claim 1, characterized in that, The online monitoring and diagnostic analysis server (25) for high-voltage electrical equipment is also connected to an online detection digital twin platform (24).