Transformer substation monitoring protection system based on multi-information fusion

Abstract

The invention discloses a transformer substation monitoring protection system based on multi-information fusion, and the system comprises an edge sensing layer which comprises an environment sensing node, a key equipment monitoring node, and a perimeter intrusion monitoring node, and is used for sensing, collecting and analyzing the surrounding environment parameters in the operation process of a transformer substation. Monitoring and early warning are carried out on peripheral invasive species; the fog transmission layer is used for transmitting data of the edge sensing layer; the cloud service layer is used for further analyzing and processing the data acquired by the edge sensing layer; and the application control layer is used for providing an operation interface for user communication. According to the invention, a plurality of sensors are adopted to monitor the surrounding environment, the key equipment state and the perimeter intrusion condition of the transformer substation during operation of the transformer substation, and compared with manual inspection, robot inspection and unmanned aerial vehicle inspection, real-time and multi-dimensional remote sensing of the operation condition of the transformer substation is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of substation monitoring and protection, and in particular relates to a substation monitoring and protection system based on multi-information fusion. Background Art

[0002] Substation protection is the cornerstone of safe operation of the power system, and it is crucial to ensure the stable operation of the power system and the reliability of power supply. Substation monitoring is an important guarantee for the safe, economical and efficient operation of the power system. It can greatly improve the operating efficiency and safety of the substation, reduce human errors, reduce maintenance costs, and improve the overall stability of the power grid. Therefore, in order to ensure the efficient operation and safety and reliability of the substation, it is of great significance to conduct real-time, remote and multi-dimensional dynamic perception and early warning of the substation and its key equipment.

[0003] With the development of technology, more and more attention has been paid to the monitoring and protection of substations, and the monitoring schemes and means have become more diversified and intelligent. At present, the monitoring and protection methods of substations are mainly manual inspection, intelligent inspection robots, drone inspection and other methods.

[0004] Today's monitoring methods and means are becoming more and more diverse and intelligent, but they are all subject to various factors, making it difficult to achieve real-time, multi-dimensional remote perception of the operating status of substations. When there are invading animals and irrelevant personnel in the surrounding environment that damage the substation, it is difficult to play a role in protection and early warning. Summary of the invention

[0005] The present invention aims at solving the problems in the prior art and proposes the following technical solutions:

[0006] A substation monitoring and protection system based on multi-information fusion, comprising:

[0007] Edge perception layer: The edge perception layer includes environmental perception nodes, key equipment monitoring nodes and perimeter intrusion monitoring nodes, which are used to perceive, collect and analyze the surrounding environmental parameters during the operation of the substation, and monitor and warn of perimeter invasive species;

[0008] The fog transmission layer is responsible for the transmission of edge perception layer data;

[0009] The cloud service layer is used to further analyze and process the data collected by the edge perception layer;

[0010] The application control layer is used to provide an operating interface for user communication.

[0011] As a preferred embodiment of the above technical solution, the environmental perception node includes a single-chip microcomputer, a communication module 1, a power module 1, a smoke sensor, a temperature sensor 1 and a flame sensor. The single-chip microcomputer collects the environmental parameters of the substation operation through the smoke sensor, the temperature sensor 1 and the flame sensor, and the communication module 1 uploads the collected data.

[0012] As a preferred embodiment of the above technical solution, the power supply module 1 supplies power to the single-chip microcomputer, the communication module 1, the smoke sensor, the temperature sensor 1 and the flame sensor.

[0013] As a preferred embodiment of the above technical solution, the key equipment monitoring node includes Raspberry Pi 1, communication module 2, power module 2, microphone array, high-definition camera 1, three-color light and temperature sensor 2. The Raspberry Pi 1 controls the microphone array and high-definition camera 1 to monitor the audio signal and video signal of the transformer. The three-color light and temperature sensor 2 display the operating status of the transformer and are used to monitor the surrounding temperature of the transformer when it is working.

[0014] As a preferred embodiment of the above technical solution, the power module 2 supplies power to the Raspberry Pi 1, the communication module 2, the microphone array, the high-definition camera 1, the three-color light and the temperature sensor 2.

[0015] As a preferred embodiment of the above technical solution, the communication mode of the communication module 2 adopts Ethernet wired communication mode, which is used to transmit audio and video information to the cloud service layer.

[0016] As a preferred embodiment of the above technical solution, the perimeter intrusion monitoring node includes a Raspberry Pi 2, a communication module 3, a power module 3, a high-definition camera 2, an infrared sensor and a speaker. The Raspberry Pi 2 monitors whether there are foreign intruders and animals around the substation through the high-definition camera 2 and the infrared sensor, and the speaker is used to warn foreign intruders and animals.

[0017] As a preferred embodiment of the above technical solution, the power module three supplies power to the Raspberry Pi two, the communication module three, the high-definition camera two, the infrared sensor and the speaker.

[0018] As a preferred embodiment of the above technical solution, the fog transmission layer includes network access such as Wi-Fi, Zigbee, NB-IOT, LORA, IP, and industrial Ethernet.

[0019] The beneficial effects of the present invention are:

[0020] 1. The present invention uses a variety of sensors to monitor the surrounding environment, key equipment status and substation perimeter intrusion during substation operation. Compared with manual inspection, robot inspection and drone inspection, it can realize real-time and multi-dimensional remote perception of the substation operation status;

[0021] 2. The key equipment monitoring node of the present invention uses video signals and audio signals collected by high-definition cameras and microphone arrays, and integrates temperature signals to achieve real-time monitoring and fault diagnosis of the operating status of key equipment in the substation, effectively ensuring the safe and reliable operation of the substation;

[0022] 3. The perimeter intrusion monitoring node in the present invention combines high-definition cameras and infrared sensors to monitor and warn of alien invasive species around the substation, which can effectively protect the substation from damage by unrelated personnel and animals in the surrounding area. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 What is shown is an architecture diagram of a substation monitoring and protection system based on multi-information fusion in an embodiment;

[0024] Figure 2 What is shown is a structural diagram of an environment perception node in an embodiment;

[0025] Figure 3 What is shown is a structural diagram of a key equipment monitoring node in an embodiment;

[0026] Figure 4 What is shown is a structural diagram of a perimeter intrusion monitoring node in an embodiment.

[0027] Description of reference numerals:

[0028] 11. Single chip microcomputer; 12. Communication module 1; 13. Power module 1; 14. Smoke sensor; 15. Temperature sensor 1; 16. Flame sensor; 21. Raspberry Pi 1; 22. Communication module 2; 23. Power module 2; 24. Microphone array; 25. HD camera 1; 26. Three-color light; 27. Temperature sensor 2; 31. Raspberry Pi 2; 32. Communication module 3; 33. Power module 3; 34. HD camera 2; 35. Infrared sensor; 36. Speaker. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments.

[0030] At present, the monitoring and protection methods of substations mainly include manual inspection, intelligent inspection robots, drone inspection, etc. Among them, the manual inspection method mainly relies on manual on-site equipment inspection and qualitative judgment of the equipment through senses such as vision and hearing. This method is time-consuming and labor-intensive and cannot monitor the operation of substations and their key equipment in real time and remotely; the intelligent inspection robot method mainly uses robot technology to conduct automated inspections of substations, and realizes automated inspection and data analysis of substation equipment by carrying various sensors on the robots. Although robots are used to replace traditional manual inspections, the cost is high and the substation situation cannot be monitored all the time; drone inspection is to use drones equipped with high-end equipment such as high-definition cameras and infrared imaging, combined with the background intelligent analysis system, to achieve remote monitoring and fault diagnosis of substations, but this detection method has a high cost investment, requires the support of professional drone operators, and has great deficiencies in ground detection.

[0031] To this end, the present invention proposes a substation monitoring and protection system based on multi-information fusion, which integrates and analyzes data from multiple nodes of the system by combining sensor technology and embedded technology to achieve real-time, remote and comprehensive monitoring and protection of the substation operation status.

[0032] Example

[0033] like Figure 1 As shown in the figure, a substation monitoring and protection system based on multi-information fusion includes an edge perception layer, a fog transmission layer, a cloud service layer and an application control layer. The edge perception layer includes an environmental perception node, a key equipment monitoring node and a perimeter intrusion monitoring node, which are used to perceive, collect and analyze the surrounding environmental parameters during the operation of the substation, and monitor and warn the perimeter invasive species. The fog transmission layer is responsible for the transmission of edge perception layer data. The fog transmission layer includes Wi-Fi, Zigbee, NB-IOT, LORA, IP, industrial Ethernet and other network access, which is mainly based on the transmission of data such as the edge perception layer, optimizes the transmission path and improves the data transmission efficiency. The cloud service layer is used to further analyze and process the data collected by the edge perception layer. The application control layer is used to provide an operation interface for user communication. The application control layer includes an information management web version and a software version. Users and the upper computer monitoring center can log in and view at any time through the PC and mobile phone mobile terminal according to their respective permissions. At the same time, it provides SMS and email alarm functions. Its data transmission and communication adopts a heterogeneous fusion communication method of Wi-Fi wireless and Ethernet wired to ensure efficient data transmission, no packet loss, and real-time and reliability.

[0034] Specifically, the edge perception layer is mainly responsible for the collection and analysis of various surrounding environmental parameters during the operation of the substation, the fog transmission layer is mainly responsible for the transmission of edge perception layer data, the cloud service layer is mainly responsible for further analysis and processing of the collected data, and the application control layer is the layer that directly faces the user, providing the user with an operation interface for communication, and plays a role similar to that of a dispatching center. The edge perception layer is mainly arranged in the substation, and is mainly responsible for the perception of the substation operating environment, the monitoring of key equipment, and the monitoring and early warning of invasive species around the perimeter.

[0035] like Figure 2 As shown, the environment sensing node includes a single chip microcomputer 11, a communication module 12, a power module 13, a smoke sensor 14, a temperature sensor 15 and a flame sensor 16. The smoke sensor 14 adopts but is not limited to JTY-GD-HB0, the temperature sensor 15 adopts but is not limited to MLX90614, and the flame sensor 16 adopts but is not limited to OmronE3F-DP21. The single chip microcomputer 11 collects the environmental parameters of the substation operation through the smoke sensor 14, the temperature sensor 15 and the flame sensor 16, and the communication module 12 uploads the collected data. The power module 13 supplies power to the single chip microcomputer 11, the communication module 12, the smoke sensor 14, the temperature sensor 15 and the flame sensor 16. At the same time, the communication module 12 uploads the collected data using Wi-Fi communication.

[0036] Specifically, the environmental sensing node is placed inside the substation, and is mainly used to monitor and warn the internal environmental status of the substation during operation. The single-chip microcomputer 11 of the environmental sensing node is mainly composed of the STM32F103 series as the main control chip, which has the characteristics of high integration, low energy consumption and strong real-time performance. The environmental parameters in the substation are collected and analyzed through smoke sensors 14, temperature sensors 15 and flame sensors 16, etc., mainly to prevent a fire in the substation that no one knows about, resulting in serious consequences and economic losses. Among them, the power module 13 is used to provide power to the entire environmental monitoring node. The entire node transmits data to the outside through the communication module 12. The communication module 12 uses Wi-Fi data transmission to effectively reduce the complexity of the entire system wiring while ensuring the reliability of data transmission.

[0037] like Figure 3As shown, the key equipment monitoring node includes Raspberry Pi 1 21, communication module 2 22, power module 2 23, microphone array 24, high-definition camera 1 25, three-color light 26 and temperature sensor 2 27. The temperature sensor 2 27 adopts but is not limited to MLX90614. The Raspberry Pi 1 21 controls the microphone array 24 and the high-definition camera 1 25 to monitor the audio signal and video signal of the transformer. The three-color light 26 and the temperature sensor 2 27 display the operating status of the transformer and are used to monitor the temperature around the transformer when the transformer is working. The power module 2 23 supplies power to the Raspberry Pi 1 21, the communication module 22, the microphone array 24, the high-definition camera 1 25, the three-color light 26 and the temperature sensor 2 27. The communication mode of the communication module 22 adopts the Ethernet wired communication mode, which is used to transmit audio and video information to the cloud service layer.

[0038] The key equipment monitoring node is mainly placed at some key equipment in the substation, such as the transformer. The main control chip of the node is Raspberry Pi-21, which is a small, low-power, cost-effective but powerful microcomputer that can run the Linux operating system, support multiple programming languages, and interact with other hardware devices through GPIO pins.

[0039] Specifically, the communication module 22 in the key equipment monitoring node adopts the Ethernet wired communication mode, which can effectively and reliably transmit audio and video information to the service layer, facilitating cloud-based data processing and analysis. The entire key equipment monitoring node combines audio signals and video signals, and incorporates the key factor of temperature. Multi-information fusion realizes remote, real-time dynamic perception and fault diagnosis of the operating status of key equipment in the substation, greatly improving the reliability and safety of substation operation.

[0040] like Figure 4 As shown, the perimeter intrusion monitoring node includes a Raspberry Pi II 31, a communication module III 32, a power module III 33, a high-definition camera II 34, an infrared sensor 35 and a speaker 36. The infrared sensor 35 uses but is not limited to CTL-SF75-C3. The Raspberry Pi II 31 monitors whether there are foreign intruders and animals around the substation through the high-definition camera II 34 and the infrared sensor 35. The speaker 36 is used to warn foreign intruders and animals. The power module III 33 supplies power to the Raspberry Pi II 31, the communication module III 32, the high-definition camera II 34, the infrared sensor 35 and the speaker 36.

[0041] Among them, Raspberry Pi 1 21 and Raspberry Pi 2 31 are credit card-sized microcomputers developed by the British Raspberry Pi Foundation. They have the characteristics of low price, small size, open source, powerful functions and low power consumption.

[0042] Specifically, the perimeter intrusion monitoring nodes are mainly arranged around the substation. The perimeter intrusion monitoring nodes monitor the surrounding invasive species through the infrared sensor 35. When the infrared sensor 35 detects an abnormal alarm, the high-definition camera 2 34 starts to capture the image information of the perimeter. The entire node operates through the image processing and analysis results of the Raspberry Pi 2 31. Once an unrelated species invasion is found, the relevant photos or videos are immediately output to the relevant personnel through the cloud and the speaker 36 sounds an alarm, warning the intruder not to approach. When invading animals and unrelated personnel damage the substation, it plays a role in protecting and warning the perimeter of the substation.

[0043] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them.

Claims

1. A substation monitoring and protection system based on multi-information fusion, characterized in that: include: Edge perception layer: The edge perception layer includes environmental perception nodes, key equipment monitoring nodes and perimeter intrusion monitoring nodes, which are used to perceive, collect and analyze the surrounding environmental parameters during the operation of the substation, and monitor and warn of perimeter invasive species; The fog transmission layer is responsible for the transmission of edge perception layer data; The cloud service layer is used to further analyze and process the data collected by the edge perception layer; The application control layer is used to provide an operating interface for user communication.

2. A substation monitoring and protection system based on multi-information fusion according to claim 1, characterized in that: The environment sensing node comprises a single chip computer (11), a communication module one (12), a power module one (13), a smoke sensor (14), a temperature sensor one (15) and a flame sensor (16); the single chip computer (11) collects environmental parameters of the substation operation through the smoke sensor (14), the temperature sensor one (15) and the flame sensor (16); and the communication module one (12) uploads the collected data.

3. A substation monitoring and protection system based on multi-information fusion according to claim 2, characterized in that: The power supply module 1 (13) supplies power to the single chip computer (11), the communication module 1 (12), the smoke sensor (14), the temperature sensor 1 (15) and the flame sensor (16).

4. A substation monitoring and protection system based on multi-information fusion according to claim 1, characterized in that: The key equipment monitoring node comprises a Raspberry Pi 1 (21), a communication module 2 (22), a power module 2 (23), a microphone array (24), a high-definition camera 1 (25), a three-color light (26) and a temperature sensor 2 (27). The Raspberry Pi 1 (21) controls the microphone array (24) and the high-definition camera 1 (25) to monitor the audio signal and the video signal of the transformer, and the three-color light (26) and the temperature sensor 2 (27) display the operating status of the transformer, and are used to monitor the temperature around the transformer when the transformer is working.

5. A substation monitoring and protection system based on multi-information fusion according to claim 4, characterized in that: The power module 2 (23) supplies power to the Raspberry Pi 1 (21), the communication module 2 (22), the microphone array (24), the high-definition camera 1 (25), the three-color light (26) and the temperature sensor 2 (27).

6. A substation monitoring and protection system based on multi-information fusion according to claim 4, characterized in that: The communication module 2 (22) uses an Ethernet wired communication mode to transmit audio and video information to the cloud service layer.

7. The substation monitoring and protection system based on multi-information fusion according to claim 1 is characterized in that: The perimeter intrusion monitoring node comprises a Raspberry Pi II (31), a communication module III (32), a power module III (33), a high-definition camera II (34), an infrared sensor (35) and a speaker (36). The Raspberry Pi II (31) monitors whether there are foreign intruders and animals around the substation through the high-definition camera II (34) and the infrared sensor (35), and the speaker (36) is used to warn foreign intruders and animals.

8. A substation monitoring and protection system based on multi-information fusion according to claim 7, characterized in that: The power module three (33) supplies power to the Raspberry Pi two (31), the communication module three (32), the high-definition camera two (34), the infrared sensor (35) and the speaker (36).

9. The substation monitoring and protection system based on multi-information fusion according to claim 2 is characterized in that: The fog transmission layer includes network access such as Wi-Fi, Zigbee, NB-IOT, LORA, IP, and industrial Ethernet.

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