Substation digital twin method and system based on GIM

Through the GIM-based digital twin method of substations, the data analysis and display is used to analyze and display the three-dimensional GIS platform, the problem of difficult to grasp the health trend of equipment during substation inspection is solved, and the digital management of substations and real-time monitoring of equipment status is realized, and the inspection is improved. efficiency.

CN114418145BActive Publication Date: 2025-02-14FUZHOU MINDI SURVEY PLANNING CO LTD

Patent Information

Application Number
CN202210069213.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-01-21
Publication Date
2025-02-14
Estimated Expiration
2042-01-21

AI Technical Summary

Technical Problem

During the inspection of existing substations, it is difficult to grasp the changes in equipment health trends in a timely manner, and the maintenance adjustments are conservative, and staff need to carry a large amount of historical data for on-site inspection.

Method used

The digital twin method of substations is adopted based on GIM, and data analysis and display are carried out through the three-dimensional GIS platform, and a digital substation is established to realize the integrated application of real-time equipment monitoring, abnormal alarms and data perception.

Benefits of technology

It realizes digital management of substations, provides panoramic digital twin information interactive applications, improves equipment status monitoring and patrol efficiency, and reduces the burden on on-site staff.

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Patent Text Reader

Abstract

The present invention relates to a GIM-based substation digital twin method and system, the method comprising: performing data analysis, simplification, and slicing processing on three-dimensional digital transfer results data, and performing three-dimensional lightweight display to form a panoramic digital substation; using a unified coordinate system to convert the coordinate system of basic terrain image scenes from different sources, loading the substation three-dimensional scene, and making the basic terrain image scene substation position correspond to the substation three-dimensional scene position through position offset, loading relevant monitoring equipment, and fusing and registering the basic terrain image scene, the substation three-dimensional scene, and the relevant monitoring equipment to achieve multi-block, multi-level, and multi-type digital twin data matching; corresponding to the physical device through the device unique identification code, establishing the substation digital mapping relationship, and realizing the digital twin substation. The method and system are conducive to the unified management of substation digital information, and then to the digital management of substations.
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Description

Technical Field

[0001] The present invention belongs to the technical field of geographic information systems, and in particular relates to a GIM-based substation digital twin method and system. Background Art

[0002] In the existing technology, most traditional substations require staff to conduct regular inspections to obtain equipment status data. Limited by the density of data collection, it is difficult for maintenance personnel to grasp the health trend of equipment in a timely manner, and when performing condition maintenance, they can only make more conservative adjustments based on the benchmark cycle. Whenever equipment is overhauled, staff need to carry a large amount of historical data such as maintenance, test reports and defect records to the site. Summary of the invention

[0003] The purpose of the present invention is to provide a GIM-based substation digital twin method and system, which is conducive to the unified management of substation digital information, and further realizes the digital management of substations.

[0004] To achieve the above object, the technical solution adopted by the present invention is: a substation digital twin method based on GIM, comprising the following steps:

[0005] (1) The 3D GIS platform data processing tools are used to parse, simplify and slice the 3D data of the GIS data, including terrain, images, GIM data and related monitoring equipment data. The 3D GIS platform Web front-end 3D components are used to perform 3D lightweight display to form a panoramic digital substation and provide a full-cycle 3D model and attribute information display.

[0006] (2) Using a unified coordinate system, coordinate system conversion is performed on basic terrain image scenes from different sources, and the substation 3D scene is loaded. Through position offset, the substation position in the basic terrain image scene is made to correspond to the substation 3D scene position. The relevant monitoring equipment is loaded, and its 3D spatial coordinates (longitude x, longitude y, elevation y) and viewing angle parameters (heading, pitch, roll) are set in the 3D scene to integrate and register the basic terrain image scene, the substation 3D scene, and the relevant monitoring equipment, so as to realize multi-block, multi-level, and multi-type digital twin data matching;

[0007] (3) By matching the physical device with the unique device identification code, object-associated storage is realized and a digital mapping relationship of the substation is established, including associating and matching the physical ID of the substation with the relevant model ID to map the physical substation to the digital substation, and associating and matching the relevant monitoring equipment ID with the relevant model ID to map the physical device to the digital device, thereby realizing a digital twin substation.

[0008] Furthermore, the related monitoring equipment includes Internet of Things sensor equipment, video monitoring equipment, robots, and Beidou equipment.

[0009] Furthermore, the relationship between equipment inventory, physical objects and digital three-dimensional models is established through substation ID, equipment ID and related model ID to realize the twin cloning of physical substation into digital substation; the physical substation provides dynamic monitoring information, video information and high-precision Beidou location information to the digital substation through IoT sensor equipment, video surveillance equipment, robots and Beidou equipment; the digital substation assists in realizing data perception fusion application, physical substation fault / security active alarm, video linkage and fusion, on-site operation assistance and real-time query of equipment information through artificial intelligence analysis results including image recognition algorithm, fusion analysis and simulation, thereby realizing the fusion analysis of equipment holographic status data, inspection data and GIM three-dimensional model.

[0010] Furthermore, the digital twin substation adopts a GIM-based substation equipment digital model fusion analysis method to realize the panoramic digital twin information interaction application of the substation; the GIM-based substation equipment digital model fusion analysis method includes real-time equipment monitoring classification statistics, equipment abnormality alarm, abnormal intrusion security alarm, live safety distance security alarm, and video fusion analysis.

[0011] Furthermore, the specific method for real-time monitoring and classification statistics of the equipment is as follows: the real-time monitoring information of the Internet of Things sensor equipment is accessed through the 5G network, including online monitoring information of transformers, circuit breakers, lightning arresters, capacitive equipment, insulators, cables, and the environment; classified statistics are performed according to the hierarchical relationship between the GIM three-dimensional model equipment; the equipment ledger, physical object, and digital three-dimensional model relationship are established through the physical ID, equipment ID, and model ID; the normal or abnormal data information of the next level is counted at the whole station level, unit level, system level, and equipment level respectively; and the PMS ledger information and model full life cycle attribute information associated with the relevant model are checked to support data perception fusion display application.

[0012] Furthermore, the specific method of the equipment abnormality alarm is: the real-time monitoring information of the Internet of Things sensor equipment accessed through the 5G network is compared with the set equipment status value, and an equipment abnormality alarm is issued if it exceeds the range. The equipment inventory, physical object, and digital three-dimensional model relationship are established through the physical ID, equipment ID, and model ID, the alarm device is highlighted, and the scope of affected equipment is displayed through the GIM model hierarchical relationship. The PMS inventory information and model full life cycle attribute information associated with the relevant model can be viewed to support the application of active fault alarm.

[0013] Furthermore, the specific method of the abnormal intrusion security alarm is: access the Internet of Things sensor equipment and Beidou's physical ID, identity information and Beidou location information of the personnel through the 5G network, and compare them with the substation entrance detection range and the specific list of personnel who can enter the substation established in the digital GIM substation. If the conditions for entering the substation are not met, an abnormal intrusion alarm is issued, and the corresponding substation entrance detection range is highlighted. The three-dimensional model relationship between the equipment ledger, physical object, and digital virtual personnel is established through the physical ID, equipment ID, and model ID. The personnel wear a helmet containing a physical ID device chip to monitor their movement trajectory in real time and display it in a three-dimensional scene. When a person enters the substation entrance detection range, it is determined whether he is on the list of maintenance personnel of the substation based on his physical ID. If he is on the list, he enters normally. If he is not on the list, an alarm is issued to the abnormal intruder, and the list record is double-clicked on the alarm list to locate it, and the identity information of the person is checked to support the application of abnormal intrusion security alarm.

[0014] Furthermore, the specific method of the live safety distance security alarm is as follows: the physical ID, identity information and Beidou location information of the personnel accessing the IoT sensor equipment and Beidou equipment through the 5G network, and the model bounding box of the specified live equipment model in the digital GIM substation are obtained, and the range of the dangerous area of ​​the live equipment is established according to the safe distance of the live equipment for spatial analysis and judgment. If the personnel are within the dangerous area of ​​the live equipment, a safety abnormality alarm is issued, and the corresponding unsafe range of the live equipment is highlighted. The relationship between the equipment ledger, physical object, and digital three-dimensional model is established through the physical ID, equipment ID, and model ID, the alarm is located for the inspection personnel, and the identity information of the personnel is checked. The equipment range involved is also displayed through the GIM model hierarchical relationship, and the PMS ledger information and model full life cycle attribute information associated with the relevant model are checked to support the application of live safety distance security alarm.

[0015] Furthermore, the specific method of the video fusion analysis is as follows: access the video stream of the video surveillance device and the three-dimensional spatial position and viewing angle parameters of the video surveillance device through the 5G network, set the three-dimensional spatial position of the three-dimensional model of the digital substation video surveillance device according to the three-dimensional spatial position and viewing angle parameters of the video surveillance device, call the power grid GIS three-dimensional platform video projection and manufacturer video stream SDK interface, and realize secondary development to project the received video stream to the digital three-dimensional substation, establish the equipment ledger, physical object, and three-dimensional model relationship of the digital monitoring device through the physical ID, equipment ID, and model ID, view the video dynamic information, and view the PMS ledger information and model full life cycle attribute information associated with the relevant model; at the same time, click the location of the video in the three-dimensional scene, draw the visual domain analysis range according to the video viewing angle and the visible distance of the video, call the visualization analysis function of the power grid GIS three-dimensional platform, perform visual domain analysis, analyze the list of visible models and invisible models within the video range, double-click a model record in the model list to obtain the three-dimensional position of the model, locate the model in the three-dimensional scene, view the PMS ledger information and model full life cycle attribute information associated with the relevant model, and support video fusion analysis applications.

[0016] The present invention also provides a GIM-based substation digital twin system, comprising a memory, a processor, and computer program instructions stored in the memory and capable of being executed by the processor. When the processor executes the computer program instructions, the above-mentioned method steps can be implemented.

[0017] Compared with the prior art, the present invention has the following beneficial effects: it provides a GIM-based substation digital twin method and system, which constructs a new digital twin substation form by digitally mapping the physical substation, and provides a data basis for the fusion analysis of the digital model of substation equipment with multi-dimensional spatiotemporal data and the panoramic digital twin information interaction application of the substation. Through the fusion analysis of the equipment holographic status data, inspection data and digital twin substation, a fusion analysis method of the digital model of substation equipment with multi-dimensional spatiotemporal data is formed, and a data analysis engine is provided for the panoramic digital twin information interaction application of the substation. In addition, in combination with new technologies such as the Internet of Things, big data, and 5G, a digital twin real-time data information loading, fusion and visualization architecture is constructed, and real-time data interaction and status interaction between virtual digital models and real physical models are carried out to realize the digital intelligent early warning function of substation equipment inspection defects, thereby constructing a panoramic digital twin information interaction application platform for substations. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a schematic diagram of constructing a digital twin substation in an embodiment of the present invention;

[0019] Figure 2It is a schematic diagram of using a digital twin substation to realize a panoramic digital twin information interaction application of a substation in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0022] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0023] like Figure 1 As shown, this embodiment provides a substation digital twin method based on GIM, including the following steps:

[0024] (1) The three-dimensional data transfer results data including terrain, image, GIM data and related monitoring equipment GIS data are processed by three-dimensional GIS platform data processing tools, including terrain data processing tools, image data processing tools, GIM data processing tools, SHP to JSON processing tools, etc., to perform data parsing, simplification and slicing processing, and three-dimensional lightweight display is performed through the three-dimensional GIS platform Web front-end three-dimensional component to form a panoramic digital substation and provide a full-cycle three-dimensional model and attribute information display.

[0025] (2) Using the unified china2000 coordinate system, coordinate system conversion is performed on basic terrain image scenes from different sources. The substation 3D scene is loaded. By position offset, the substation position in the basic terrain image scene is made to completely correspond to the position in the substation 3D scene. The relevant monitoring equipment is loaded, and its 3D spatial coordinates (longitude x, longitude y, elevation y) and viewing angle parameters (heading, pitch, roll) are set in the 3D scene to integrate and register the basic terrain image scene, the substation 3D scene, and the relevant monitoring equipment, so as to achieve multi-block, multi-level, and multi-type digital twin data matching.

[0026] (3) By using the unique device identification code to correspond to the physical device in reality, object-associated storage is realized and a digital mapping relationship of the substation is established, including associating and matching the physical ID of the substation with the relevant model ID to map the physical substation to the digital substation, and associating and matching the relevant monitoring equipment ID with the relevant model ID to map the physical device to the digital device, thereby realizing a digital twin substation.

[0027] In this embodiment, the related monitoring equipment includes Internet of Things sensor equipment, video monitoring equipment, robots, and Beidou equipment.

[0028] like Figure 2 As shown in the figure, the relationship between equipment inventory, physical objects and digital three-dimensional models is established through substation ID, equipment ID and related model ID to realize the twin cloning of physical substation into digital substation; the physical substation provides dynamic monitoring information, video information and high-precision Beidou location information to the digital substation through IoT sensor equipment, video surveillance equipment, robots, Beidou equipment, etc. The digital substation assists in realizing data perception fusion application, physical substation fault / security active alarm, video linkage and fusion, on-site operation assistance, real-time query of equipment information, etc. through artificial intelligence analysis results including image recognition algorithm, fusion analysis, simulation, etc., thereby realizing the fusion analysis of equipment holographic status data, inspection data and GIM three-dimensional model; through the digital mapping method of physical substation, a new digital twin substation form is constructed, so that the substation operation and management mode can be transformed from traditional informatization to digitalization and intelligence, which will also cause major changes in the management mode of power grid and power enterprises.

[0029] The digital twin substation adopts a GIM-based substation equipment digital model fusion analysis method to realize the panoramic digital twin information interaction application of the substation; the GIM-based substation equipment digital model fusion analysis method includes real-time equipment monitoring classification statistics, equipment abnormality alarm, abnormal intrusion security alarm, live safety distance security alarm, and video fusion analysis.

[0030] The specific method for real-time monitoring and classification statistics of the equipment is as follows: the real-time monitoring information of the Internet of Things sensor equipment is accessed through the 5G network, including online monitoring information of transformers, circuit breakers, lightning arresters, capacitive equipment, insulators, cables, environment, etc., and classified and counted according to the hierarchical relationship between the GIM three-dimensional model equipment. The equipment ledger, physical object, and digital three-dimensional model relationship are established through the physical ID, equipment ID, model ID, etc., and the normal or abnormal data information of the next level is counted at the whole station level, unit level, system level, equipment level, etc. (such as counting the number of normal and abnormal monitoring equipment of each system type at the system level) (marked on the corresponding equipment three-dimensional model), and the PMS ledger information and model full life cycle attribute information associated with the relevant model are checked to support data perception fusion display application.

[0031] The specific method of the equipment abnormality alarm is: the real-time monitoring information of the Internet of Things sensor equipment accessed through the 5G network is compared with the set equipment status value, and an equipment abnormality alarm is issued if it exceeds the range. The equipment inventory, physical object, and digital three-dimensional model relationship are established through the physical ID, equipment ID, and model ID, the alarm device is highlighted, and the scope of affected equipment is displayed through the GIM model hierarchical relationship. The PMS inventory information and model full life cycle attribute information associated with the relevant model can be viewed to support the application of active fault alarm.

[0032] The specific method of the abnormal intrusion security alarm is: access the Internet of Things sensor equipment and Beidou's physical ID, identity information and Beidou location information of the personnel through the 5G network, and compare them with the substation entrance detection range established in the digital GIM substation and the specific list of personnel who can enter the substation. If the conditions for entering the substation are not met, an abnormal intrusion alarm is issued, and the corresponding substation entrance detection range is highlighted. The relationship between the equipment ledger, physical objects, and digital virtual personnel three-dimensional models is established through physical ID, equipment ID, model ID, etc. The personnel wear a helmet containing a physical ID device chip to monitor their movement trajectory in real time and display it in a three-dimensional scene. When a person enters the substation entrance detection range, it is determined whether he is on the list of maintenance personnel of the substation based on his physical ID. If he is on the list, he enters normally. If he is not on the list, an alarm is issued to the abnormal intruder, and the list record is double-clicked on the alarm list to locate it, and the identity information of the person is checked to support the application of abnormal intrusion security alarm.

[0033] The specific method of the live safety distance security alarm is as follows: the physical ID, identity information and Beidou location information of the personnel who access the Internet of Things sensor equipment and Beidou equipment through the 5G network, and the model bounding box is obtained with the designated live equipment model in the digital GIM substation, and the range of the live equipment danger zone is established according to the live equipment safety distance for spatial analysis and judgment (the precise position of the personnel is within the unsafe space range, which can be achieved by calling the power grid GIS three-dimensional platform interface). If the personnel is within the dangerous area of ​​the live equipment, a safety abnormality alarm is issued, and the corresponding unsafe range of the live equipment is highlighted. The relationship between the equipment ledger, physical object, and digital three-dimensional model is established through the physical ID, equipment ID, model ID, etc., the alarm is located for the inspection personnel, and the identity information of the personnel is checked. The equipment range involved is also displayed through the GIM model hierarchical relationship, and the PMS ledger information and model full life cycle attribute information associated with the relevant model are checked to support the live safety distance security alarm application.

[0034] The specific method of the video fusion analysis is as follows: the video stream of the video surveillance device and the three-dimensional spatial position and viewing angle parameters of the video surveillance device are accessed through the 5G network, the three-dimensional spatial position of the three-dimensional model of the digital substation video surveillance device is set according to the three-dimensional spatial position and viewing angle parameters of the video surveillance device, the video projection of the power grid GIS three-dimensional platform and the manufacturer's video stream SDK interface are called, and the received video stream is projected to the digital three-dimensional substation through secondary development, and the equipment ledger, physical object, and three-dimensional model relationship of the digital monitoring device are established through the physical ID, equipment ID, model ID, etc., so that the video dynamic information can be viewed, and the PMS ledger information and model full life cycle attribute information associated with the relevant model can also be viewed; at the same time, the video location can be clicked in the three-dimensional scene, and the visual domain analysis range can be drawn according to the video viewing angle and the visible distance of the video, and the visualization analysis function of the power grid GIS three-dimensional platform can be called to perform visual domain analysis, and a list of visible models and invisible models within the video range can be analyzed, and a model record in the model list can be double-clicked to obtain the three-dimensional position of the model to locate the model in the three-dimensional scene, and the PMS ledger information and model full life cycle attribute information associated with the relevant model can be viewed to support video fusion analysis applications.

[0035] The present invention combines new technologies such as the Internet of Things, big data, and 5G, and realizes the loading, fusion, and visualization of three-dimensional and real-time data information of digital twin substations based on the front-end application framework of the Fujian 3D GIS platform, and constructs a typical application architecture of digital twin substations. Through multi-block, multi-level, and multi-type digital twin data matching, the present invention accesses the Internet of Things sensor equipment, video monitoring equipment, Beidou, robots, etc. to provide dynamic monitoring information, video information, and high-precision Beidou location information for digital substations to realize data perception fusion application, and compares the real-time monitoring information of the Internet of Things sensor equipment accessed through the 5G network with the set equipment status value, and issues an abnormal equipment alarm if it exceeds the range. The physical ID, identity information, and Beidou location information of the personnel accessed through the 5G network of the Internet of Things sensor equipment and Beidou are compared with the substation entrance detection range established in the digital GIM substation and the list of specific personnel who can enter the substation, and the abnormal personnel break-in security alarm. Through the 5G network, the physical ID, identity information and location information of the personnel of the IoT sensor equipment and Beidou are accessed, and the spatial analysis and judgment are carried out with the safety range of the designated live equipment model in the digital GIM substation, and the alarm is issued when the live safety distance is exceeded to assist on-site operations. The video stream of the video surveillance equipment accessed through the 5G network and the three-dimensional spatial position (x longitude, y longitude, z elevation) and viewing angle parameters (heading north angle, pitch angle, roll angle) of the video surveillance equipment are set to the three-dimensional scene of the substation, and the video projection of the Mindi three-dimensional GIS platform and the manufacturer's video stream SDK interface are called. Secondary development is carried out to project the received video stream to the digital three-dimensional substation to realize the fusion of video and substation. The viewing angle parameters of the video surveillance equipment can be adjusted in the digital three-dimensional substation, and the viewing angle parameters of the video surveillance equipment in the physical substation are adjusted accordingly to realize the linkage between the physical substation and the digital substation. The real-time monitoring information of IoT sensor devices accessed through the 5G network includes wireless lightning arrester leakage current, transformer, capacitive equipment, circuit breaker and other switch equipment status, station energy consumption, environment and other dynamics, ring network cabinet wireless temperature, humidity and other monitoring information. Through the physical ID, equipment ID, model ID, etc., the equipment ledger, physical object, and digital three-dimensional model relationship are established, and the equipment information can be queried in real time. In this way, real-time data interaction and status interaction between virtual digital models and real physical models can be realized, and the digital intelligent early warning function of substation equipment inspection defects can be realized, and a panoramic digital twin information interaction application system for substations can be constructed.

[0036] This embodiment also provides a GIM-based substation digital twin system, including a memory, a processor, and computer program instructions stored in the memory and capable of being executed by the processor. When the processor executes the computer program instructions, the above-mentioned method steps can be implemented.

[0037] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0038] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0039] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0040] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0041] The above is only a preferred embodiment of the present invention, and does not limit the present invention in other forms. Any technician familiar with the profession may use the above disclosed technical content to change or modify it into an equivalent embodiment with equivalent changes. However, any simple modification, equivalent change and modification made to the above embodiment according to the technical essence of the present invention without departing from the technical solution of the present invention still belongs to the protection scope of the technical solution of the present invention.

Claims

1. A GIM-based substation digital twin method, characterized in that: The following steps are involved: (1) The 3D GIS platform data processing tools are used to parse, simplify and slice the 3D data of the GIS data, including terrain, images, GIM data and related monitoring equipment data. The 3D GIS platform Web front-end 3D components are used to perform 3D lightweight display to form a panoramic digital substation and provide a full-cycle 3D model and attribute information display. (2) Using a unified coordinate system, coordinate system conversion is performed on basic terrain image scenes from different sources, and the substation 3D scene is loaded. Through position offset, the substation position of the basic terrain image scene is made to correspond to the position of the substation 3D scene. The relevant monitoring equipment is loaded, and its 3D spatial coordinates and viewing angle parameters are set in the 3D scene to integrate and register the basic terrain image scene, the substation 3D scene, and the relevant monitoring equipment, so as to realize multi-block, multi-level, and multi-type digital twin data matching; (3) By matching the physical device with the unique device identification code, object association storage is realized and the digital mapping relationship of the substation is established, including associating and matching the physical ID of the substation with the relevant model ID to map the physical substation to the digital substation, and associating and matching the relevant monitoring equipment ID with the relevant model ID to map the physical device to the digital device, thereby realizing the digital twin substation; Through the substation ID, equipment ID and related model ID, the relationship between equipment inventory, physical objects and digital 3D models is established to realize the twin cloning of physical substation and digital substation; the physical substation provides dynamic monitoring information, video information and high-precision Beidou location information to the digital substation through IoT sensor equipment, video surveillance equipment, robots and Beidou equipment. The digital substation assists in realizing data perception fusion application, physical substation fault / security active alarm, video linkage and fusion, on-site operation assistance and real-time query of equipment information through artificial intelligence analysis results including image recognition algorithm, fusion analysis and simulation, thereby realizing the fusion analysis of equipment holographic status data, inspection data and GIM 3D model; The digital twin substation adopts the GIM-based substation equipment digital model fusion analysis method to realize the substation panoramic digital twin information interaction application; the GIM-based substation equipment digital model fusion analysis method includes equipment real-time monitoring classification statistics, equipment abnormality alarm, abnormal intrusion security alarm, live safety distance security alarm, and video fusion analysis; The specific method of the video fusion analysis is as follows: access the video stream of the video surveillance device and the three-dimensional spatial position and viewing angle parameters of the video surveillance device through the 5G network, set the three-dimensional spatial position of the three-dimensional model of the digital substation video surveillance device according to the three-dimensional spatial position and viewing angle parameters of the video surveillance device, call the power grid GIS three-dimensional platform video projection and manufacturer video stream SDK interface, and realize secondary development to project the received video stream to the digital three-dimensional substation, establish the equipment ledger, physical object, and three-dimensional model relationship of the digital monitoring device through the physical ID, equipment ID, and model ID, view the video dynamic information, and view the PMS ledger information and model full life cycle attribute information associated with the relevant model; at the same time, click the location of the video in the three-dimensional scene, draw the visual domain analysis range according to the video viewing angle and the visible distance of the video, call the visualization analysis function of the power grid GIS three-dimensional platform, perform visual domain analysis, analyze the list of visible models and invisible models within the video range, double-click a model record in the model list to obtain the three-dimensional position of the model, locate the model in the three-dimensional scene, view the PMS ledger information and model full life cycle attribute information associated with the relevant model, and support video fusion analysis applications.

2. The GIM-based substation digital twin method according to claim 1, characterized in that: The related monitoring equipment includes Internet of Things sensor equipment, video monitoring equipment, robots, and Beidou equipment.

3. The GIM-based substation digital twin method according to claim 1, characterized in that: The specific method for real-time monitoring and classification statistics of the equipment is as follows: the real-time monitoring information of the Internet of Things sensor equipment is accessed through the 5G network, including the online monitoring information of transformers, circuit breakers, lightning arresters, capacitive equipment, insulators, cables, and the environment; classified statistics are performed according to the hierarchical relationship between the GIM three-dimensional model equipment; the equipment ledger, physical object, and digital three-dimensional model relationship are established through the physical ID, equipment ID, and model ID; the normal or abnormal data information of the next level is counted at the whole station level, unit level, system level, and equipment level respectively; and the PMS ledger information and model full life cycle attribute information associated with the relevant model are checked to support data perception fusion display application.

4. The GIM-based substation digital twin method according to claim 1 is characterized in that: The specific method of the equipment abnormality alarm is: the real-time monitoring information of the Internet of Things sensor equipment accessed through the 5G network is compared with the set equipment status value, and an equipment abnormality alarm is issued if it exceeds the range. The equipment inventory, physical object, and digital three-dimensional model relationship are established through the physical ID, equipment ID, and model ID, the alarm device is highlighted, and the scope of affected equipment is displayed through the GIM model hierarchical relationship. The PMS inventory information and model full life cycle attribute information associated with the relevant model can be viewed to support the application of active fault alarm.

5. The GIM-based substation digital twin method according to claim 1, characterized in that: The specific method of the abnormal intrusion security alarm is: access the physical ID, identity information and Beidou location information of the Internet of Things sensor equipment and Beidou through the 5G network, and compare them with the substation entrance detection range and the specific list of personnel who can enter the substation established in the digital GIM substation. If the conditions for entering the substation are not met, an abnormal intrusion alarm is issued, and the corresponding substation entrance detection range is highlighted. The three-dimensional model relationship between the equipment ledger, physical objects, and digital virtual personnel is established through the physical ID, equipment ID, and model ID. The personnel wear a helmet containing a physical ID device chip to monitor their movement trajectory in real time and display it in a three-dimensional scene. When a person enters the substation entrance detection range, it is determined whether he is on the list of maintenance personnel of the substation based on his physical ID. If he is on the list, he enters normally. If he is not on the list, an alarm is issued to the abnormal intruder, and the list record is double-clicked on the alarm list to locate it, and the identity information of the person is checked to support the application of abnormal intrusion security alarm.

6. The GIM-based substation digital twin method according to claim 1, characterized in that: The specific method of the live safety distance security alarm is as follows: the physical ID, identity information and Beidou location information of the personnel accessing the IoT sensor equipment and Beidou equipment through the 5G network, and the model bounding box is obtained with the designated live equipment model in the digital GIM substation, and the range of the live equipment danger zone is established according to the live equipment safety distance for spatial analysis and judgment; if the personnel are within the range of the live equipment danger zone, a safety abnormality alarm is issued, and the corresponding unsafe range of the live equipment is highlighted; the relationship between the equipment ledger, physical object and digital three-dimensional model is established through the physical ID, equipment ID and model ID, the inspection personnel are alarmed and located, and the identity information of the personnel is checked; the equipment range involved is also displayed through the GIM model hierarchical relationship, and the PMS ledger information and model full life cycle attribute information associated with the relevant model are checked to support the live safety distance security alarm application.

7. A GIM-based substation digital twin system, characterized in that: The method comprises a memory, a processor, and computer program instructions stored in the memory and executable by the processor. When the processor executes the computer program instructions, the method steps as described in any one of claims 1 to 6 can be implemented.

Citation Information

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