Transformer substation intelligent operation and maintenance system based on digital twinning
Patent Information
- Application Number
- CN202411739112.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-02-25
Smart Images
Figure CN119515362A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of substation maintenance, and in particular to a substation intelligent operation and maintenance system based on digital twins. Background Art
[0002] Substations are an important part of the power system, responsible for converting the electric energy of high-voltage transmission lines into low-voltage electric energy suitable for power distribution; substation operation and maintenance refers to the effective management, maintenance and operation of substation equipment and facilities to ensure their safe, stable and efficient operation. Digital twin technology is an advanced technology that models physical systems or equipment in a digital way, simulates and monitors their operating status in real time; it converts entities in the physical world into virtual / digital twins to achieve real-time data interaction, analysis and prediction. Digital twins have been applied to aerospace, power, shipbuilding, discrete manufacturing, energy and other industries.
[0003] However, the current traditional substation operation and maintenance mainly uses equipment to monitor the equipment in the substation to realize data collection and transmission and cooperate with manual maintenance. The data collection and transmission management efficiency is not high, and the manual maintenance efficiency is low, which will affect the normal use of the substation. For this reason, we propose a substation intelligent operation and maintenance system based on digital twins to solve the above problems. Summary of the invention
[0004] The embodiment of the present application provides a smart operation and maintenance system for a substation based on digital twins, so as to at least solve the problem of low efficiency caused by manual maintenance of substations in related technologies.
[0005] In a first aspect, an embodiment of the present application provides a substation intelligent operation and maintenance system based on digital twins, the system comprising:
[0006] The physical facility layer is used to access the IoT management platform or video platform of the substation through wired or wireless communication to collect operation and maintenance data of the substation;
[0007] The data management layer is used to classify and pre-process the operation and maintenance data to obtain sample data;
[0008] The platform function layer is used to extract the equipment information of the substation from the sample data, and construct the equipment components of the substation according to the scenario information and the equipment information;
[0009] A model building layer, used to construct a virtual digital model of the sample data, scene components and equipment components through digital twin technology to obtain a substation digital twin model corresponding to the substation;
[0010] The simulation analysis layer is used to build a digital model of the equipment according to the sample data, predict the future state of the equipment in the substation according to the digital model, and maintain the digital twin model of the substation according to the prediction results.
[0011] In one embodiment, the system also includes a business application layer, which is used to obtain user needs and build corresponding business application scenarios based on user needs and the substation digital twin model.
[0012] In one embodiment, the physical facility layer includes IoT sensing devices, wherein:
[0013] The IoT sensing device is used to collect the operating data of all equipment in the substation and the environmental data of the scene in which it is located, and upload the operating data and scene data to the data management layer through 4G+APN or optical fiber communication.
[0014] In one embodiment, the data management layer includes a structured data management module, a time series data management module, an unstructured data management module, and a data training module, wherein the structured data management module, the time series data management module, and the unstructured data management module are respectively used to preprocess the structured data, the time series data, and the unstructured data to obtain sample data;
[0015] The data training module is connected to the data center and the technical center through an external data service interface, and is used to:
[0016] Obtain business data, mechanism model data, data-driven model data, model analysis result data, video data in the unified video platform, and GIS map data connected to the GIS platform, and build the data base of the data twin substation platform based on sample data, business data, mechanism model data, data-driven model data, model analysis result data, video data, and GIS map data;
[0017] Encapsulating the mechanism model data and the data-driven model data in the data middle platform and the technical middle platform respectively;
[0018] Based on the sample data, training is performed through machine learning to obtain mathematical calculation models for different types of data.
[0019] In one embodiment, it is characterized in that the platform function layer includes:
[0020] The twin scenario orchestration management component is used to obtain the real scenario of the substation, and build corresponding device components for the hardware devices in the substation according to the real scenario, and orchestrate the device components according to the logic between the devices to obtain a three-dimensional model of the substation;
[0021] A model data fusion component, used to fuse the sample data into the device component corresponding to the three-dimensional model of the substation;
[0022] A running engine component is used to read the model library file and the scene arrangement file, and restore the components, scenes, data, and special effects in the three-dimensional model of the substation according to the model library file and the scene arrangement file;
[0023] A virtual-reality interaction component is used to dynamically load the sample data into the substation three-dimensional model to achieve state synchronization between the virtual substation and the real substation;
[0024] A spatial analysis and calculation component, used to perform corresponding calculations on the sample data loaded in real time according to the data calculation model, and input the calculation results into the substation digital twin model;
[0025] The data analysis component is used to call external model and algorithm services, and convert, encapsulate and output the sample data.
[0026] In one embodiment, it is characterized in that the mechanism model data includes archive data and measurement data based on substation equipment.
[0027] In one embodiment, the model building layer is further used to:
[0028] The model library is managed in a unified manner, providing unified model registration and publishing functions, establishing model classification management, sharing and integration mechanisms, and at the same time enriching the digital interaction capability interface between models and entities to form a digital channel for two-way interaction between physical world motion constraints, contact forms, electrical systems and virtual world objects.
[0029] In one embodiment, predicting the future state of the equipment in the substation according to the digital model, and maintaining the substation digital twin model according to the prediction result, includes:
[0030] Calculate, analyze and predict the future state of substation equipment based on the current state of substation equipment through physical laws and mechanisms;
[0031] The current status of substation equipment can be obtained through the Internet of Things and digital threads, and the control and maintenance of substation equipment can be achieved through the Internet of Things management platform, realizing full-cycle and full-field dynamic simulation and feedback control.
[0032] In one embodiment, it is characterized in that the dynamic simulation includes one or more of equipment simulation, virtual test simulation, operation and maintenance simulation, organization simulation and process simulation.
[0033] In one embodiment, the business application layer includes:
[0034] Precision investment planning simulation module, used to build application scenarios for investment planning;
[0035] The full life cycle management module is used to build application scenarios for equipment life management and manage the full life cycle of substation construction and operation;
[0036] The grid panoramic monitoring and diagnosis prediction module is used to build application scenarios for grid monitoring and diagnosis, and realize monitoring, diagnosis and prediction of substation operation links;
[0037] The customer service module is used to build application scenarios for customer service management and improve customer service capabilities.
[0038] The substation intelligent operation and maintenance system based on digital twin provided in the embodiment of the present application has at least the following technical effects:
[0039] By setting up a smart substation operation and maintenance system including a physical facility layer, a data management layer, a platform function layer, a model building layer, and a simulation analysis layer, it is possible to effectively construct a semantic information model of the distribution station, realize the virtual digital restoration of the actual distribution station equipment, and facilitate the subsequent effective monitoring and operation and maintenance of the distribution station equipment.
[0040] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:
[0042] Figure 1 It is a structural block diagram of a substation intelligent operation and maintenance system based on digital twin in one embodiment of the present application;
[0043] Figure 2 It is a structural block diagram of a substation intelligent operation and maintenance system based on digital twin in another embodiment of the present application. DETAILED DESCRIPTION
[0044] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.
[0045] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.
[0046] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.
[0047] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.
[0048] In one embodiment of the present application, a substation intelligent operation and maintenance system based on digital twin is provided, referring to Figure 1,The system includes the physical facility layer, data management layer, platform ,function layer, model building layer, simulation analysis layer and ,business application layer.
[0049] Specifically, the physical facility layer is used to access the Internet of Things management platform or video platform of the substation through wired or wireless communication methods to collect operation and maintenance data of the substation; the data management layer is used to classify and preprocess the operation and maintenance data to obtain sample data; the platform function layer is used to extract the equipment information of the substation from the sample data, and construct the equipment components of the substation according to the scene information and equipment information; the model construction layer is used to construct a virtual digital model of the sample data, scene components and equipment components through digital twin technology to obtain a digital twin model of the substation corresponding to the substation; the simulation analysis layer is used to construct a digital model of the equipment according to the sample data, predict the future state of the equipment in the substation according to the digital model, and maintain the digital twin model of the substation according to the prediction results; the business application layer is used to obtain user needs, and construct corresponding business application scenarios according to the user needs and the digital twin model of the substation.
[0050] In this embodiment, the data management layer serves as the data entry and preliminary processing link. After classifying and processing the collected perception data, it will output structured data, unstructured data and time series data to the platform function layer. These data provide basic information for the platform function layer, enabling the platform function layer to perform data storage, query, management and other operations.
[0051] After receiving data from the data management layer, the platform function layer will further process and integrate the data according to business needs. For example, it will perform data cleaning, deduplication, format conversion and other operations, and then output the processed data to the model building layer. At the same time, the platform function layer may also output some metadata information for data management, such as the source of the data, processing status, etc., so that the model building layer can better understand and use the data.
[0052] The model building layer uses the data provided by the platform function layer to build various mathematical models and algorithm models. After the construction is completed, it will output information such as model parameters and model prediction results to the simulation analysis layer. This information can help the simulation analysis layer perform more accurate simulation and analysis.
[0053] The simulation analysis layer simulates and analyzes the system based on the information provided by the model building layer. The results of the simulation analysis, such as performance indicators, risk assessment and other information, will be output to the business application layer to provide support for business decision-making.
[0054] Through clear data interaction processes and information transmission mechanisms between various layers, a complete chain from data collection to business application is realized. Each layer provides key information and support for the next layer, jointly promoting the efficient operation of the entire system.
[0055] In this embodiment, the intelligent operation and maintenance system of the substation constructed by the present application through the physical facility layer, data management layer, platform function layer, model construction layer, simulation analysis layer and business application layer can effectively construct a semantic information model of the distribution station, realize the virtual digital restoration of the actual distribution station equipment, and facilitate the subsequent effective monitoring and operation and maintenance of the distribution station equipment.
[0056] In another embodiment, reference Figure 2 The physical facility layer includes an Internet of Things sensing device, wherein the Internet of Things sensing device is used to collect the operating data of all equipment in the substation and the environmental data of the scene in which it is located, and upload the operating data and scene data to the data management layer through 4G+APN or optical fiber communication.
[0057] In this embodiment, the IoT sensing device includes various sensor devices in the substation (i.e., IoT sensing devices), the sensing devices are connected to the substation equipment, and then the various sensor devices in the substation are uniformly connected to the IoT management platform or unified video platform through 4G+APN or optical fiber (the IoT management platform or unified video platform can be used to integrate video data and IoT sensing data and present them to users), so as to realize the collection, access and integration of information such as the operating status, environmental information, video images, etc. of the substation equipment and various sensor devices in the substation, and provide sensing data for realizing various application scenarios.
[0058] In this embodiment, the data management layer includes a structured data management module, a time series data management module, an unstructured data management module, and a data training module. The structured data management module, the time series data management module, and the unstructured data management module are respectively used to preprocess the structured data, time series data, and unstructured data to obtain sample data.
[0059] In addition, the data training module is communicated with the data middle platform and the technical middle platform through the external data service interface. The data training module is used to: obtain business data, mechanism model data, data-driven model data, model analysis result data, video data in the unified video platform and GIS map data connected to the GIS platform, and build the data base of the data twin substation platform according to the sample data, business data, mechanism model data, data-driven model data, model analysis result data, video data and GIS map data; encapsulate the mechanism model data and data-driven model data in the data middle platform and the technical middle platform respectively; based on the sample data, train through machine learning to obtain mathematical calculation models of different types of data.
[0060] Specifically, the data management layer communicates and connects with the data middle platform, technical middle platform, IoT management platform and other platforms through a unified external data service interface to obtain various types of data required for substation operation and maintenance. Among them, the acquired business data, mechanism model data, data-driven model data, model analysis result data, video data in a unified video platform, GIS map data connected to the GIS platform, and IoT perception data of various sensors obtained from the IoT management platform are uniformly constructed to build the data base of the data twin substation platform. The mechanism model data is then encapsulated in the data middle platform, and the data-driven model data is encapsulated in the technical middle platform, based on historical sample data, and a mathematical calculation model trained by machine learning. In this embodiment, the mechanism model data includes archival data and measurement data based on substation equipment.
[0061] refer to Figure 2 , the platform function layer includes the following modules:
[0062] The twin scene orchestration management component is used to obtain the real scene of the substation, and build corresponding device components for the hardware equipment in the substation according to the real scene, and arrange the device components according to the logic between the devices to obtain the three-dimensional model of the substation; the model data fusion component is used to fuse the sample data into the device components corresponding to the three-dimensional model of the substation; the running engine component is used to read the model library file and the scene orchestration file, and restore the components, scenes, data, and special effects in the three-dimensional model of the substation according to the model library file and the scene orchestration file; the virtual-reality interaction component is used to dynamically load the sample data into the three-dimensional model of the substation to achieve state synchronization between the virtual substation and the real substation; the spatial analysis and calculation component is used to perform corresponding calculations on the sample data loaded in real time according to the data calculation model, and input the calculation results into the digital twin model of the substation; the data analysis component is used to call external model and algorithm services, and convert, encapsulate and output the sample data.
[0063] More specifically, the twin scene orchestration management component completes the assembly of equipment models in the substation and the setting and editing of equipment model light sources, materials, and special effects by combining the provision of substation application scenarios and business logic editing tools; the model data fusion component integrates and orchestrates the accessed data types into the digital twin business model scenario, so that the digital twin can more accurately and comprehensively present and express the operation status of the power grid; the running engine component is used to read model library files and scene orchestration files, and dynamically load data in combination with the virtual-reality interaction component to restore the model, scene, data, and special effects to form a full-scene display of the digital twin. The virtual-reality interaction component realizes efficient connection of perceived business data, meets the consistency and synchronization requirements of virtual space and physical space, and provides full-factor, full-process, and full-business data and service interaction support; the spatial analysis and calculation component provides spatial analysis planning components, including distance measurement, area measurement, volume measurement and other measurement services, path planning, roaming customization, visual domain analysis, as well as panoramic map customization and scene annotation; the data analysis and processing component is responsible for unified calling of external model and algorithm services, and unified processing, conversion, packaging, and output of data, providing data calculation and analysis public service capabilities for scene construction.
[0064] The embodiment of the present application can orderly manage the distribution station equipment data resources, establish distribution station equipment data resource relationships, and promote the efficient development and utilization of distribution station equipment data resources by setting up a data management layer and a platform function layer.
[0065] In a preferred embodiment, the model building layer is also used to: uniformly manage the model library, provide unified model registration and publishing functions, establish model classification management, sharing and integration mechanisms, and enrich the digital interaction capability interface between the model and the entity to form a digital channel for two-way interaction between the motion constraints, contact forms, and electrical systems of the physical world and objects in the virtual world.
[0066] Specifically, the model construction layer performs digital twin model construction and unified management of model libraries, provides unified model registration and publishing functions, establishes model classification management, sharing and integration mechanisms, and enriches the digital interaction capability interface between models and entities to form a digital channel for two-way interaction between physical world motion constraints, contact forms, electrical systems and virtual world objects. By setting up the model construction layer, the semantic information model of the distribution station is effectively constructed to achieve virtual digital restoration of real distribution station equipment; and it can render digital space effects, through three-dimensional rendering of distribution station scenes and distribution station entities, and superimposed visualization of business data, transparent monitoring of the operation status of the distribution station is achieved.
[0067] In one embodiment, the future state of the equipment in the substation is predicted according to the digital model, and the digital twin model of the substation is maintained according to the prediction results, including: calculating, analyzing and predicting the future state of the substation equipment according to the current state of the substation equipment through physical laws and mechanisms; obtaining the current state of the substation equipment through the Internet of Things and digital threads, and controlling and maintaining the substation equipment through the Internet of Things management platform, realizing full-cycle and full-field dynamic simulation and feedback control.
[0068] Specifically, the simulation analysis layer establishes digital models of various types of equipment in the substation, calculates, analyzes and predicts the future state of the substation equipment according to the current state of the substation equipment through the laws and mechanisms of physics, obtains the current state of the substation equipment through the Internet of Things and digital threads, and can realize the control and maintenance of the substation equipment through the Internet of Things management platform, and realizes dynamic simulation and feedback control of the whole cycle and all fields. The dynamic simulation includes equipment simulation, virtual test simulation, operation and maintenance simulation, organization simulation, and process simulation. By setting up the simulation analysis layer, it is possible to view the status of the distribution station equipment or control the distribution station equipment from the digital space, and enter the twin space at any time through the distribution station equipment; and build an analysis algorithm model based on the operation law of the distribution station equipment, simulate and deduce the operation effect and trend prediction in advance; so as to effectively monitor the distribution station equipment and operate and maintain it in a timely and effective manner.
[0069] In one embodiment, the business application layer includes: a precise investment planning simulation module, which is used to construct an application scenario for investment planning; a full life cycle management module, which is used to construct an application scenario for equipment life management, so as to achieve management of the full life cycle of substation project construction and operation; a power grid panoramic monitoring and diagnosis prediction module, which is used to construct an application scenario for power grid monitoring and diagnosis, so as to achieve monitoring, diagnosis and prediction of substation operation links; a customer service module, which is used to construct an application scenario for customer service management, so as to achieve the improvement of customer service capabilities.
[0070] Specifically, the business application layer carries out the construction of typical business application scenarios, including precise investment planning simulation module, construction and operation full life cycle management module, power grid panoramic monitoring and diagnosis prediction module, customer service capability improvement module; among them, construction and operation full life cycle management: mainly includes equipment selection, project progress tracking, construction and operation integrated application and other functions, through the mirroring and simulation of three-dimensional models, the full life cycle management of distribution station project construction and operation is realized; power grid panoramic monitoring and diagnosis prediction: mainly includes source network load storage operation monitoring, on-site operation intelligent management and control, power grid status prediction and rehearsal and other functions, to realize the monitoring, diagnosis and prediction of distribution station operation links.
[0071] In summary, the substation intelligent operation and maintenance system based on digital twin provided by the present application has the following beneficial effects compared with the prior art:
[0072] 1. It can render digital space effects, and through three-dimensional rendering of distribution station scenes and entities, and superimposed visualization of business data, it can realize transparent monitoring of the operation status of distribution stations, and facilitate the subsequent effective operation and maintenance of distribution station equipment;
[0073] 2. Ability to manage distribution station equipment data resources in an orderly manner, establish distribution station equipment data resource relationships, and promote efficient development and utilization of distribution station equipment data resources;
[0074] 3. Ability to view or control the substation equipment from the digital space, and enter the twin space at any time through the substation equipment, thus improving the use effect of the entire digital twin-based substation smart operation and maintenance system on substation equipment operation and maintenance;
[0075] 4. Build an analysis algorithm model based on the operating rules of distribution station equipment, simulate and deduce the operating effects and trend forecasts in advance, so as to effectively monitor the distribution station equipment and carry out timely and effective operation and maintenance.
[0076] It should be noted that the substation intelligent operation and maintenance system based on digital twin provided in this embodiment is used to implement the above-mentioned implementation mode, and the description that has been made will not be repeated. As used above, the terms "module", "unit", "subunit", etc. can implement a combination of software and / or hardware for predetermined functions. Although the device described in the above embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.
[0077] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0078] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.
Claims
1. A substation intelligent operation and maintenance system based on digital twin, characterized in that: The system comprises: The physical facility layer is used to access the IoT management platform or video platform of the substation through wired or wireless communication to collect operation and maintenance data of the substation; The data management layer is used to classify and pre-process the operation and maintenance data to obtain sample data; The platform function layer is used to extract the equipment information of the substation from the sample data, and construct the equipment components of the substation according to the scenario information and the equipment information; A model building layer, used to construct a virtual digital model of the sample data, scene components and equipment components through digital twin technology to obtain a substation digital twin model corresponding to the substation; The simulation analysis layer is used to build a digital model of the equipment according to the sample data, predict the future state of the equipment in the substation according to the digital model, and maintain the digital twin model of the substation according to the prediction results.
2. The substation intelligent operation and maintenance system based on digital twin according to claim 1 is characterized in that: The system also includes a business application layer, which is used to obtain user needs and build corresponding business application scenarios based on the user needs and the substation digital twin model.
3. The substation intelligent operation and maintenance system based on digital twin according to claim 1 is characterized in that: The physical facility layer includes IoT sensing devices, where: The IoT sensing device is used to collect the operating data of all equipment in the substation and the environmental data of the scene in which it is located, and upload the operating data and scene data to the data management layer through 4G+APN or optical fiber communication.
4. The substation intelligent operation and maintenance system based on digital twin according to claim 1 is characterized in that: The data management layer includes a structured data management module, a time series data management module, an unstructured data management module, and a data training module. The structured data management module, the time series data management module, and the unstructured data management module are respectively used to preprocess the structured data, the time series data, and the unstructured data to obtain sample data; The data training module is connected to the data center and the technical center through an external data service interface, and is used to: Obtain business data, mechanism model data, data-driven model data, model analysis result data, video data in the unified video platform, and GIS map data connected to the GIS platform, and build the data base of the data twin substation platform based on sample data, business data, mechanism model data, data-driven model data, model analysis result data, video data, and GIS map data; Encapsulating the mechanism model data and the data-driven model data in the data middle platform and the technical middle platform respectively; Based on the sample data, training is performed through machine learning to obtain mathematical calculation models for different types of data.
5. The substation intelligent operation and maintenance system based on digital twin according to claim 1 is characterized in that: The platform function layer includes: The twin scenario orchestration management component is used to obtain the real scenario of the substation, and build corresponding device components for the hardware devices in the substation according to the real scenario, and orchestrate the device components according to the logic between the devices to obtain a three-dimensional model of the substation; A model data fusion component, used to fuse the sample data into the device component corresponding to the three-dimensional model of the substation; A running engine component is used to read the model library file and the scene arrangement file, and restore the components, scenes, data, and special effects in the three-dimensional model of the substation according to the model library file and the scene arrangement file; A virtual-reality interaction component is used to dynamically load the sample data into the substation three-dimensional model to achieve state synchronization between the virtual substation and the real substation; A spatial analysis and calculation component, used to perform corresponding calculations on the sample data loaded in real time according to the data calculation model, and input the calculation results into the substation digital twin model; The data analysis component is used to call external model and algorithm services, and convert, encapsulate and output the sample data.
6. The substation intelligent operation and maintenance system based on digital twin according to claim 4 is characterized in that: The mechanism model data includes archive data and measurement data based on substation equipment.
7. The substation intelligent operation and maintenance system based on digital twin according to claim 1 is characterized in that: The model building layer is also used to: The model library is managed in a unified manner, providing unified model registration and publishing functions, establishing model classification management, sharing and integration mechanisms, and at the same time enriching the digital interaction capability interface between models and entities to form a digital channel for two-way interaction between physical world motion constraints, contact forms, electrical systems and virtual world objects.
8. The substation intelligent operation and maintenance system based on digital twin according to claim 1 is characterized in that: Predicting the future state of the equipment in the substation according to the digital model, and maintaining the substation digital twin model according to the prediction result, includes: Calculate, analyze and predict the future state of substation equipment based on the current state of substation equipment through physical laws and mechanisms; The current status of substation equipment can be obtained through the Internet of Things and digital threads, and the control and maintenance of substation equipment can be achieved through the Internet of Things management platform, realizing full-cycle and full-field dynamic simulation and feedback control.
9. The substation intelligent operation and maintenance system based on digital twin according to claim 8 is characterized in that: The dynamic simulation includes one or more of equipment simulation, virtual test simulation, operation and maintenance simulation, organization simulation and process simulation.
10. The substation intelligent operation and maintenance system based on digital twin according to claim 2 is characterized in that: The business application layer includes: Precision investment planning simulation module, used to build application scenarios for investment planning; The full life cycle management module is used to build application scenarios for equipment life management and manage the full life cycle of substation construction and operation; The grid panoramic monitoring and diagnosis prediction module is used to build application scenarios for grid monitoring and diagnosis, and realize monitoring, diagnosis and prediction of substation operation links; The customer service module is used to build application scenarios for customer service management and improve customer service capabilities.