Intelligent patrol system based on digital twinning technology

Abstract

The invention provides an intelligent patrol system based on a digital twinning technology. The intelligent patrol system comprises a front-end sensing layer, a platform layer and an application layer, the front-end sensing layer is mainly responsible for acquiring various state information and environmental parameters of a transformer substation and equipment thereof in real time, and providing basic data for a digital twin system; the platform layer is a core processing part of the digital twinning system and is responsible for processing, analyzing and storing data and constructing and managing a digital twinning model; the application layer is a user interface and a function display part of the digital twin system, is responsible for providing various intelligent operation, maintenance and management functions for users, and comprises an intelligent inspection module, a fault early warning module, a fault diagnosis module, a state evaluation module, a state optimization module and a visual display module. According to the system, the digital twinborn model is established, video monitoring and intelligent analysis are integrated, intelligent patrol and fault early warning of substation equipment are realized, and the operation and maintenance efficiency and safety are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent operation and maintenance technology of ultra-high voltage substations, and in particular to a smart inspection system based on digital twin technology. The system realizes smart inspection and fault warning of substation equipment by integrating video monitoring, intelligent analysis and digital twin models. Background Art

[0002] With the in-depth promotion of smart grid construction and the rapid development of UHV technology, substations, as key nodes of the power grid, are increasingly valued for their intelligent operation and maintenance management. However, there are many problems with the operation and maintenance of traditional substations, such as low efficiency of manual inspections, incomplete coverage, high operation and maintenance costs, and high safety risks. These problems are particularly prominent in UHV AC substations.

[0003] As an emerging digital technology, digital twin technology provides a new approach to solving the above problems. Digital twin technology builds a digital mirror of a physical entity in a virtual space to achieve interaction and integration between the physical world and the digital world. In the field of substations, digital twin technology can be applied to the operation and maintenance management of substation equipment to form a digital twin of the substation, and realize real-time monitoring of equipment status, fault warning, and intelligent operation and maintenance.

[0004] In recent years, the application research of digital twin technology in the field of substations has gradually increased. However, the current digital application of substations still has the problems of decentralization and localization. Various intelligent auxiliary equipment and monitoring systems are self-contained and lack a unified data sharing and interactive platform. In addition, the application of substation 3D modeling is still in its infancy, and only some primary display functions have been realized, which cannot meet the needs of intelligent operation and maintenance.

[0005] The application of digital twin technology has brought revolutionary changes to the operation and maintenance management of substations. Through digital twin technology, operation and maintenance personnel can achieve remote monitoring and intelligent management of substation equipment, reducing operation and maintenance costs and safety risks. In addition, digital twin technology can also provide data support for the optimized design and operation of substations, and promote the development of substations in a more intelligent and digital direction. Therefore, the development of a smart patrol system based on digital twin technology is of great significance to improving the operation and maintenance level of UHV AC substations, reducing operation and maintenance costs, and ensuring the safe and reliable operation of power equipment. Summary of the invention

[0006] The present invention aims to solve the problems of low manual inspection efficiency, high operation and maintenance costs, and great safety risks in the operation and maintenance of AC substations, especially UHV substations. The present invention provides an intelligent inspection system based on digital twin technology.

[0007] To achieve the above-mentioned purpose of the invention, the present invention provides a smart patrol system based on digital twin technology, including a front-end perception layer, a platform layer, and an application layer;

[0008] The front-end perception layer is mainly responsible for collecting various status information and environmental parameters of the substation and its equipment in real time, and providing basic data for the digital twin system;

[0009] The platform layer is the core processing part of the digital twin system, responsible for data processing, analysis, storage, and the construction and management of digital twin models;

[0010] The application layer is the user interface and function display part of the digital twin system, responsible for providing users with various intelligent operation and management functions, including smart patrol module, fault warning module, fault diagnosis module, status assessment module, status optimization module, and visualization display module.

[0011] Furthermore, the front-end sensing layer includes a front-end sensing device and a data transmission channel;

[0012] The front-end sensing device collects the operating status, environmental parameters and other relevant information of the main equipment of the substation in real time through the access switch, camera, microphone and sensor installed in the substation. In addition, it also includes video image monitoring function, remote control function, voice communication function, alarm screen linkage function, infrared thermal imaging image monitoring function and sound pickup function;

[0013] The data transmission channel is responsible for transmitting the data collected by the front-end perception layer to the platform layer for processing.

[0014] Furthermore, the platform layer includes hardware and software;

[0015] The hardware includes a digital twin server, an intelligent analysis server, a patrol host, a video host, a workstation, a hard disk recorder, a convergence switch, a firewall, a transmission network, a forward isolation device, and a reverse isolation device; the software includes a digital twin model module, an intelligent analysis algorithm module, a data processing module, and a data storage module;

[0016] The aggregation switch is connected to the digital twin server, intelligent analysis server, patrol host, video host, workstation, hard disk recorder, and access switch through connecting cables, and the camera and microphone are connected to the access switch through camera access cables; the system is horizontally interconnected with the power monitoring system safety I / II zone system by the aggregation switch through forward isolation equipment and reverse isolation equipment, and vertically uploads information to the external main station system through the firewall through the transmission network.

[0017] Furthermore, the digital twin model module: the digital twin model module constructs a digital twin model of the substation and its equipment based on the data collected by the front-end perception layer, providing a basis for intelligent analysis and decision-making;

[0018] The intelligent analysis algorithm module: The intelligent analysis algorithm module uses artificial intelligence, big data analysis and other technologies to deeply mine and analyze the data in the digital twin model to identify the operating mode, potential risks and optimization space of the substation.

[0019] The data processing module: The data processing module is responsible for preprocessing, cleaning, converting and other operations on the data transmitted from the front-end perception layer to ensure the quality and consistency of the data and provide reliable data support for subsequent intelligent analysis and updating of the digital twin model;

[0020] The data storage module: The data storage module is responsible for persistently storing the processed data and related information such as the digital twin model for subsequent query, analysis and use.

[0021] Furthermore, the smart inspection function uses digital twin models and intelligent analysis algorithms to realize automatic inspection and remote monitoring of substation equipment; operation and maintenance personnel can view the operating status and inspection results of the equipment in real time through the system, thereby improving inspection efficiency and accuracy;

[0022] The fault warning module uses an intelligent analysis algorithm to monitor and analyze the data in the digital twin model in real time. When an abnormality or potential fault is found in the equipment, it will promptly send warning information to the operation and maintenance personnel;

[0023] The fault diagnosis module further locates and analyzes the cause of equipment failure based on fault warning, and provides detailed fault diagnosis reports and maintenance suggestions for operation and maintenance personnel;

[0024] The status assessment module regularly assesses and analyzes the operating status of the substation and its equipment, generates a status assessment report, and provides a basis for decision-making by operation and maintenance personnel;

[0025] The state optimization module optimizes and adjusts the operating state of the substation and its equipment according to the results of the state assessment and the suggestions of the intelligent analysis algorithm; by adjusting the operating parameters and improving the maintenance strategy;

[0026] The visualization display module displays the digital twin model, equipment operation status, inspection results, fault warning, fault diagnosis, and status assessment information through a graphical interface.

[0027] The intelligent patrol system of the present invention realizes intelligent patrol and fault warning of substation equipment by integrating high-definition video monitoring, intelligent analysis algorithm and digital twin model. The system reflects the physical status and operating environment of the equipment in real time by building digital twins of substation equipment, providing intuitive and accurate equipment information for operation and maintenance personnel. At the same time, combined with intelligent analysis algorithms, the system can automatically identify equipment defects and safety hazards, and warn of potential faults in advance, thereby greatly improving the efficiency and safety of operation and maintenance work. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is the hardware system wiring diagram of the present invention;

[0029] Figure 2 It is a system functional architecture diagram of the present invention;

[0030] Figure 3 It is the camera deployment strategy of the front-end sensing layer equipment applied to the main transformer of important electrical equipment of the present invention;

[0031] Figure 4 It is the camera deployment strategy of the front-end sensing layer equipment applied to the high-voltage reactor of important electrical equipment of the present invention;

[0032] Among them, 1. Digital twin server; 2. Smart analysis server; 3. Patrol host; 4. Video host; 5. Workstation; 6. Hard disk recorder; 7. Aggregation switch; 8. Access switch; 9. Camera; 10. Pickup; 11. Firewall; 12. Transmission network; 13. Forward isolation device; 14. Reverse isolation device; 15. External master station system; 16. Connection cable; 17. Camera access cable;

[0033] 200, front-end perception layer; 201, front-end perception device; 202, data transmission channel; 203, digital twin model module; 204, intelligent analysis algorithm module; 205, data processing module; 206, data storage module; 207, platform layer; 208, application layer; 209, state optimization module; 210, visualization module; 211, state assessment module; 212, fault diagnosis module; 213, fault warning module; 214, smart patrol module;

[0034] 301, PTZ camera No. 1; 302, PTZ camera No. 2; 303, PTZ camera No. 3; 304, PTZ camera No. 4; 305, PTZ camera No. 5; 306, PTZ camera No. 6; 307, PTZ camera No. 7; 308, PTZ camera No. 8; 309, PTZ camera No. 9; 310, PTZ camera No. 10; 311, PTZ camera No. 11; 312, PTZ camera No. 12; 313, PTZ camera No. 13; 314, PTZ camera No. 14; 315, PTZ camera No. 15; 316, PTZ camera No. 16; 317, PTZ camera No. 17; 318, PTZ camera No. 18; 319, main transformer phase C; 320, main transformer phase B; 321, main transformer phase A; 322, road;

[0035] 401, PTZ camera No. 19; 402, HD dome camera No. 20; 403, HD dome camera No. 21; 404, HD dome camera No. 22; 405, HD dome camera No. 23; 406, HD dome camera No. 24; 407, HD dome camera No. 25; 408, PTZ camera No. 26; 409, PTZ camera No. 27; 410, PTZ camera No. 28; 411, Infrared dual-spectrum thermal imaging PTZ camera No. 29; 412, Infrared dual-spectrum thermal imaging PTZ camera No. 30; 413, Infrared dual-spectrum thermal imaging PTZ camera No. 31; 414, wall; 415, high-resistance north road; 416, high-resistance south road; 417, high-resistance sound insulation cover; 418, high-resistance fire wall. DETAILED DESCRIPTION

[0036] In order to better understand the purpose, structure and function of the present invention, the following is a further detailed description of a smart patrol system based on digital twin technology of the present invention in conjunction with the accompanying drawings.

[0037] Example:

[0038] like Figure 1 As shown in the figure, the smart patrol system based on digital twin technology is arranged in the safety IV zone of the power monitoring system, and adopts a layered, distributed, and open network architecture. The hardware mainly consists of a digital twin server 1, a smart analysis server 2, a patrol host 3, a video host 4, a workstation 5, a hard disk recorder 6, a convergence switch 7, an access switch 8, a camera 9, a microphone 10, a firewall 11, a transmission network 12, a forward isolation device 13, a reverse isolation device 14, a connecting cable 16, and a camera access cable 17.

[0039] The aggregation switch 7 is connected to the digital twin server 1, the intelligent analysis server 2, the patrol host 3, the video host 4, the workstation 5, the hard disk recorder 6, and the access switch 8 through the connection cable 16, and the camera 9 and the microphone 10 are connected to the access switch 8 through the camera access cable 17. The security protection system is composed of the aggregation switch 7, which is interconnected with the power monitoring system safety I / II zone system through the forward isolation device 13 and the reverse isolation device 14 in the horizontal direction, and the information is uploaded to the external main station system 15 through the transmission network 12 through the firewall 11 in the vertical direction.

[0040] like Figure 2 As shown, the functional architecture of the smart patrol system based on digital twin technology is mainly composed of the front-end perception layer 200, the platform layer 207, and the application layer 208.

[0041] Front-end perception layer 200: The front-end perception layer is mainly responsible for real-time collection of various status information and environmental parameters of the substation and its equipment, and provides basic data for the digital twin system. It includes front-end perception equipment 201 and data transmission channel 202.

[0042] The front-end sensing device 201 collects the operating status, environmental parameters and other relevant information of the main equipment of the substation in real time through various cameras, microphones and sensors installed in the substation. In addition, it also includes sensing functions such as real-time video image monitoring, remote control, voice communication, alarm screen linkage, infrared thermal imaging image monitoring, and sound pickup. These front-end sensing devices can fully perceive the operating conditions of the substation to ensure the accuracy and integrity of the data. Front-end perception is the basis for data input of the digital twin system, providing real-time and accurate data support for subsequent data transmission, processing, analysis, and updating of the digital twin model.

[0043] Data transmission channel 202: Responsible for transmitting the data collected by the front-end perception layer to the platform layer for processing through optical fiber, 5G, power private network integrated data network and other communication methods. This process needs to ensure the reliability, real-time and security of data transmission to meet the high data requirements of the digital twin system. Data transmission is a bridge connecting the front-end perception layer and the platform layer, realizing real-time sharing and interaction of data, and providing the possibility for real-time analysis and decision-making of the digital twin system.

[0044] Platform layer 207: The platform layer is the core processing part of the digital twin system, responsible for data processing, analysis, storage, and the construction and management of digital twin models, including hardware and software. The hardware includes servers, patrol hosts, workstations, hard disk recorders, and safety protection equipment. Figure 1 The software includes a digital twin model module 203, an intelligent analysis algorithm module 204, a data processing module 205, and a data storage module 206.

[0045] Digital twin model module 203: The digital twin model module builds digital twin models of the substation and its equipment based on the data collected by the front-end perception layer. These models can reflect the physical state and operating conditions of the substation in real time, providing a basis for intelligent analysis and decision-making. The digital twin model is the core of the digital twin system. It realizes the mapping and interaction between the physical world and the digital world, and provides a basis for subsequent intelligent analysis, state evaluation, fault warning and other functions.

[0046] Intelligent analysis algorithm module 204: The intelligent analysis algorithm module uses artificial intelligence, big data analysis and other technologies to deeply mine and analyze the data in the digital twin model, identify the operation mode, potential risks and optimization space of the substation, etc. The intelligent analysis algorithm provides powerful intelligent decision support for the digital twin system, which can help operation and maintenance personnel to discover and handle problems in a timely manner and improve the operation efficiency and safety of the substation.

[0047] Data processing module 205: The data processing module is responsible for preprocessing, cleaning, converting and other operations on the data transmitted from the front-end perception layer to ensure the quality and consistency of the data and provide reliable data support for subsequent intelligent analysis and updating of the digital twin model. Data processing is a key link in the data flow of the digital twin system. It can improve the accuracy and availability of data and provide a strong guarantee for subsequent intelligent analysis and decision-making.

[0048] Data storage module 206: The data storage module is responsible for persistently storing the processed data and related information such as the digital twin model for subsequent query, analysis and use. Data storage provides reliable data support for the digital twin system, ensures the traceability and reusability of the data, and provides a basis for the long-term operation and optimization of the system.

[0049] Application layer 208: The application layer is the user interface and function display part of the digital twin system, responsible for providing users with various intelligent operation and management functions. It includes smart patrol module 214, fault warning module 213, fault diagnosis module 212, state assessment module 211, state optimization module 209, and visualization display module 210.

[0050] Smart patrol module 214: Use digital twin models and intelligent analysis algorithms to realize automatic patrol and remote monitoring of substation equipment. Operation and maintenance personnel can view the operating status and patrol results of equipment in real time through the system to improve patrol efficiency and accuracy. The smart patrol function reduces the workload of operation and maintenance personnel, improves patrol efficiency and quality, and provides strong guarantee for the safe operation of substations.

[0051] Fault warning module 213: The data in the digital twin model is monitored and analyzed in real time through intelligent analysis algorithms. When abnormalities or potential faults are found in the equipment, early warning information is promptly issued to the operation and maintenance personnel. The fault warning function can help the operation and maintenance personnel to promptly discover and handle equipment faults, avoid the expansion of faults, and reduce power outage time and losses.

[0052] Fault diagnosis module 212: Based on fault warning, further locate and analyze the cause of equipment faults, and provide detailed fault diagnosis reports and maintenance suggestions for operation and maintenance personnel. The fault diagnosis function improves the ability and efficiency of operation and maintenance personnel in handling equipment faults, shortens fault recovery time, and ensures the safe and stable operation of the substation.

[0053] Status evaluation module 211: Regularly evaluate and analyze the operating status of the substation and its equipment, and generate a status evaluation report. The report includes information such as the health status, performance indicators, and remaining life of the equipment, providing a basis for the decision-making of operation and maintenance personnel. The status evaluation function helps operation and maintenance personnel to fully understand the operating status and performance of the equipment, and provides a scientific basis for equipment maintenance, replacement, and upgrade.

[0054] State optimization module 209: optimizes and adjusts the operating state of the substation and its equipment according to the results of the state assessment and the recommendations of the intelligent analysis algorithm. Improves the operating efficiency and safety of the equipment by adjusting operating parameters, improving maintenance strategies, etc. The state optimization function can continuously improve the operating performance and safety of the substation, reduce operation and maintenance costs, and improve economic benefits.

[0055] Visualization display module 210: Displays digital twin models, equipment operating status, inspection results, fault warnings, fault diagnosis, status assessment and other information through a graphical interface. Operation and maintenance personnel can understand the overall operation of the substation and equipment details through an intuitive graphical interface. The visualization display function improves the usability and operability of the digital twin system, enabling operation and maintenance personnel to more conveniently obtain and manage information and improve work efficiency.

[0056] like Figure 3As shown, the camera deployment strategy of the front-end perception layer equipment applied to the main transformer of important electrical equipment is mainly composed of No. 1 pan-tilt camera 301, No. 2 pan-tilt camera 302, No. 3 pan-tilt camera 303, No. 4 pan-tilt camera 304, No. 5 pan-tilt camera 305, No. 6 pan-tilt camera 306, No. 7 pan-tilt camera 307, No. 8 pan-tilt camera 308, No. 9 pan-tilt camera 309, No. 10 pan-tilt camera 310, No. 11 pan-tilt camera 311, No. 12 pan-tilt camera 312, No. 13 pan-tilt camera 313, No. 14 pan-tilt camera 314, No. 15 pan-tilt camera 315, No. 16 infrared dual-spectrum thermal imaging pan-tilt camera 316, No. 17 infrared dual-spectrum thermal imaging pan-tilt camera 317, and No. 18 infrared dual-spectrum thermal imaging pan-tilt camera 318.

[0057] The camera deployment strategy for the front-end perception layer equipment used in the main transformer of important electrical equipment is to configure one PTZ camera No. 1 to No. 9 PTZ cameras 301 to 309 on the east, west and north sides of the main transformer C phase 319, the main transformer B phase 320 and the main transformer A phase 321, among which No. 1 to No. 3 PTZ cameras 301 to 303 are arranged on the north side of the road 322, and two PTZ cameras No. 10 to No. 15 PTZ cameras 310 to 315 are configured on the south side to realize the monitoring of the main transformer body, the surroundings of the compensation transformer, the top appearance and the ground, the bushing appearance, and the bushing oil level gauge. Among them, the PTZ cameras on the east and west sides are wall-mounted, and the PTZ cameras on the north and south sides are pole-mounted. An infrared thermal imaging camera No. 18 infrared dual-spectrum thermal imaging pan-tilt camera 318 is installed on the top of one side of the main transformer firewall, and two infrared dual-spectrum thermal imaging pan-tilt cameras No. 16 infrared dual-spectrum thermal imaging pan-tilt camera 316 and No. 17 infrared dual-spectrum thermal imaging pan-tilt camera 317 are installed on the top of the other side to measure the temperature of the main transformer, the top and bushing of the regulating transformer, the lead head, the drainage line, and the end screen.

[0058] like Figure 4 As shown, the camera distribution of the front-end perception layer equipment used for high-voltage reactors of important electrical equipment mainly consists of No. 19 PTZ camera 401, No. 20 HD ball camera 402, No. 21 HD ball camera 403, No. 22 HD ball camera 404, No. 23 HD ball camera 405, No. 24 HD ball camera 406, No. 25 HD ball camera 407, No. 26 PTZ camera 408, No. 27 PTZ camera 409, No. 28 PTZ camera 410, No. 29 infrared dual-spectrum thermal imaging PTZ camera 411, No. 30 infrared dual-spectrum thermal imaging PTZ camera 412, and No. 31 infrared dual-spectrum thermal imaging PTZ camera 413.

[0059] The camera deployment strategy for the front-end perception layer equipment used in the high-voltage reactors of important electrical equipment is to configure a pan-tilt camera No. 19 between the road 415 on the north side of the high-voltage reactor and the wall 414, which is used to observe the appearance of the radiator, oil storage cabinet, and casing, and is installed on a pole; a pan-tilt camera No. 26-27 camera 408-410 is configured on the north side road 416 of the high-voltage reactor, that is, on the south side of each phase of the high-voltage reactor, which is used to observe the oil level gauge of the high-voltage reactor casing, and is installed on a pole; a high-definition dome camera No. 20-25 camera 402-407 is configured 50 cm below the two opposite top corners of the high-voltage reactor soundproof cover, which is used to realize the appearance and ground monitoring around the high-voltage reactor body, all of which are wall-mounted, and a fill light device with a power of more than 100W must be mounted on the wall above the high-definition dome camera to ensure clear observation of the high-definition dome camera. An infrared dual-spectrum thermal imaging camera No. 31 camera 413 is installed on the top of one side of the high-resistance fire wall 418, and two infrared dual-spectrum thermal imaging cameras No. 29 and 30 cameras 411-412 are installed on the top of the other side for temperature measurement of the high-resistance top and high-resistance casing.

Claims

1. A smart patrol system based on digital twin technology, characterized by: It includes a front-end perception layer (200), a platform layer (207), and an application layer (208); The front-end perception layer (200) is responsible for collecting various status information and environmental parameters of the substation and its equipment in real time, and providing basic data for the digital twin system; The platform layer (207) is responsible for data processing, analysis, storage, and construction and management of digital twin models; The application layer (208) is responsible for providing users with various intelligent operations and management, including a smart patrol module (214), a fault warning module (213), a fault diagnosis module (212), a status assessment module (211), a status optimization module (209), and a visualization display module (210).

2. According to claim 1, a smart patrol system based on digital twin technology is characterized in that: The front-end sensing layer (200) comprises a front-end sensing device (201) and a data transmission channel (202); The front-end sensing device (201) collects the operating status, environmental parameters and other relevant information of the main equipment of the substation in real time through the access switch (8), camera (9), microphone (10) and sensor installed in the substation. In addition, it also includes video image monitoring function, remote control function, voice communication function, alarm screen linkage function, infrared thermal imaging image monitoring function and sound pickup function; The data transmission channel (202) is responsible for transmitting the data collected by the front-end perception layer to the platform layer for processing.

3. According to claim 1, a smart patrol system based on digital twin technology is characterized in that: The platform layer (207) includes hardware and software; The hardware includes a digital twin server (1), an intelligent analysis server (2), a patrol host (3), a video host (4), a workstation (5), a hard disk recorder (6), an aggregation switch (7), a firewall (11), a transmission network (12), forward isolation (13), and reverse isolation (14); the software includes a digital twin model module (203), an intelligent analysis algorithm module (204), a data processing module (205), and a data storage module (206); The aggregation switch (7) is connected to the digital twin server (1), the intelligent analysis server (2), the patrol host (3), the video host (4), the workstation (5), the hard disk recorder (6), and the access switch (8) via a connecting cable (16); the camera (9) and the microphone (10) are connected to the access switch (8) via a camera access cable (17); the system is interconnected with the power monitoring system safety zone I / II system by the aggregation switch (7) via a forward isolation device (13) and a reverse isolation device (14) in the horizontal direction, and information is uploaded to the external main station system (15) via a transmission network (12) via a firewall (11) in the vertical direction.

4. According to claim 3, a smart patrol system based on digital twin technology is characterized in that: The digital twin model module (203): The digital twin model module constructs a digital twin model of the substation and its equipment based on the data collected by the front-end perception layer, reflects the physical state and operating conditions of the substation in real time, and provides a basis for intelligent analysis and decision-making; The intelligent analysis algorithm module (204): the intelligent analysis algorithm module uses artificial intelligence, big data analysis and other technologies to perform in-depth mining and analysis on the data in the digital twin model to identify the operation mode, potential risks and optimization space of the substation; The data processing module (205): The data processing module is responsible for preprocessing, cleaning, converting and other operations on the data transmitted from the front-end perception layer to ensure the quality and consistency of the data and provide reliable data support for subsequent intelligent analysis and updating of the digital twin model; The data storage module (206): The data storage module is responsible for persistently storing the processed data and related information such as the digital twin model for subsequent query, analysis and use.

5. According to claim 1, a smart patrol system based on digital twin technology is characterized in that: The smart inspection module (214) uses a digital twin model and an intelligent analysis algorithm to realize automatic inspection and remote monitoring of substation equipment; operation and maintenance personnel can view the operating status and inspection results of the equipment in real time through the system, thereby improving inspection efficiency and accuracy; The fault warning module (213) monitors and analyzes the data in the digital twin model in real time through an intelligent analysis algorithm, and sends a warning message to the operation and maintenance personnel in a timely manner when an abnormality or potential fault of the equipment is found; The fault diagnosis module (212) further locates and analyzes the cause of the equipment fault based on the fault warning, and provides detailed fault diagnosis reports and maintenance suggestions for the operation and maintenance personnel; The status assessment module (211) regularly assesses and analyzes the operating status of the substation and its equipment, generates a status assessment report, and provides a basis for decision-making by operation and maintenance personnel; The state optimization module (209) optimizes and adjusts the operating state of the substation and its equipment according to the results of the state evaluation and the suggestions of the intelligent analysis algorithm; By adjusting operating parameters and improving maintenance strategies; The visualization display module (210) displays the digital twin model, equipment operating status, inspection results, fault warning, fault diagnosis, and status assessment information through a graphical interface.

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