Power grid state monitoring method and device based on digital twinborn body and computer equipment

Abstract

The invention relates to a power grid state monitoring method and device based on digital twins and computer equipment. The method comprises the following steps: acquiring an urban power grid live-action model, acquiring multi-source urban power grid operation data through a message queue mode, performing data collection and data preprocessing on the multi-source urban power grid operation data to obtain target operation data, and according to the target operation data and the urban power grid live-action model, acquiring the urban power grid live-action model according to the target operation data and the urban power grid live-action model. And constructing a power grid digital twinborn body of the urban power grid, and monitoring the operation state of the urban power grid based on the power grid digital twinborn body. By adopting the method, the power grid operation state monitoring precision can be improved.

Description

Technical Field

[0001] The present application relates to the field of digital power grid technology, and in particular to a power grid status monitoring method, device, computer equipment, computer-readable storage medium and computer program product based on digital twins. Background Art

[0002] With the in-depth advancement of the digital transformation of power grids and digital grids, digital grids have gradually become the core direction of the development of modern power systems. By introducing advanced digital technologies, power system managers can more accurately control the operating status of the entire power system.

[0003] Traditional solutions mainly rely on distributed sensor systems and remote monitoring platforms to monitor the operating data of power grid equipment in the power system in real time, and use digital technology to analyze and process the operating data to monitor the operating status of the power grid.

[0004] However, although traditional grid status monitoring solutions can monitor the operating status of the grid to a certain extent, due to the gradual increase in grid equipment in the power system, the operating data of grid equipment has become multi-source and complex. Processing operating data through traditional solutions may be complicated, making it difficult to fully and accurately reflect the actual operating status of the grid. Summary of the invention

[0005] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product that can improve the accuracy of power grid operation status monitoring in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for monitoring power grid status based on digital twins, comprising:

[0007] Obtain the real-life model of the urban power grid, and obtain multi-source urban power grid operation data through message queues;

[0008] Performing data collection and data preprocessing on the multi-source urban power grid operation data to obtain target operation data;

[0009] Constructing a digital twin of the urban power grid according to the target operation data and the urban power grid real-scene model;

[0010] Based on the power grid digital twin, the operating status of the urban power grid is monitored.

[0011] In one embodiment, the city power grid reality model is constructed based on the following method:

[0012] Acquire the ledger data of the urban power grid and the remote sensing image data of the urban power grid, wherein the ledger data includes power grid equipment data and topological structure data of the urban power grid;

[0013] According to the power grid equipment data, device characteristic data of the power grid equipment in the urban power grid is identified, and a power grid equipment model component matching the device characteristic data is searched from a preset model component library;

[0014] Determining the environmental model components of the urban power grid according to the remote sensing image data;

[0015] The city power grid real-scene model is constructed based on the power grid equipment model component, the environment model component, and the topology structure data.

[0016] In one embodiment, determining the environmental model component of the urban power grid according to the remote sensing image data includes:

[0017] Extracting contour features of environmental elements in the urban power grid from the remote sensing image data;

[0018] Constructing a three-dimensional spatial model of the urban power grid according to the contour features of the environmental elements;

[0019] The three-dimensional space model is divided into monomers so that the environmental elements in the three-dimensional space model form separable entities to obtain the environmental model component.

[0020] In one embodiment, constructing a digital twin of the urban power grid according to the target operation data and the urban power grid real-scene model includes:

[0021] Determine the target position of the power grid equipment corresponding to the target operation data in the city power grid real-life model;

[0022] Based on the target position of the power grid equipment in the city power grid real-life model, the target operation data and the real-life model are associated to obtain the power grid digital twin.

[0023] In one embodiment, monitoring the operating status of the urban power grid based on the power grid digital twin includes:

[0024] Determine the distance between each grid device in the city grid and the structural characteristic data of each grid device according to the grid digital twin;

[0025] Determining distribution data of video acquisition devices in the urban power grid according to the distances between the power grid devices and the structural characteristic data;

[0026] deploying the video acquisition device in the urban power grid according to the distribution data;

[0027] splicing the image data collected by the video acquisition device to obtain panoramic image data of the urban power grid;

[0028] The operating status of the urban power grid is monitored based on the panoramic image data.

[0029] In one embodiment, monitoring the operating status of the urban power grid based on the power grid digital twin includes:

[0030] Obtain real-time image data of the city power grid;

[0031] Visually displaying the power grid digital twin;

[0032] According to the target location selected by the user in the digital twin of the power grid, real-time image data corresponding to the target location is synchronously displayed to monitor the operating status of the urban power grid.

[0033] In one embodiment, monitoring the operating status of the urban power grid based on the power grid digital twin includes:

[0034] According to the digital twin of the power grid, a twin scenario of the urban power grid is constructed;

[0035] According to the twin scenario of the urban power grid, the operating status of the urban power grid is remotely monitored.

[0036] In a second aspect, the present application also provides a power grid status monitoring device based on a digital twin, comprising:

[0037] The data acquisition module is used to obtain the real-life model of the urban power grid and obtain multi-source urban power grid operation data through message queues;

[0038] A data processing module, used for collecting and preprocessing the multi-source urban power grid operation data to obtain target operation data;

[0039] A twin construction module, used to construct a power grid digital twin of the urban power grid according to the target operation data and the urban power grid real-scene model;

[0040] A status monitoring module is used to monitor the operating status of the urban power grid based on the digital twin of the power grid.

[0041] In a third aspect, the present application also provides a computer device including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps in any one of the above-mentioned embodiments of the digital twin-based power grid status monitoring method.

[0042] In a fourth aspect, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in any one of the above-mentioned embodiments of the digital twin-based power grid status monitoring method.

[0043] In a fifth aspect, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps in any one of the above-mentioned embodiments of the digital twin-based power grid status monitoring method.

[0044] The above-mentioned digital twin-based power grid status monitoring method, device and computer equipment obtain multi-source urban power grid operation data and urban power grid real-life model through message queues, and then perform data collection and data preprocessing on the multi-source urban power grid operation data, which can provide a multi-dimensional analysis basis for subsequent monitoring of the operation status of the urban power grid. Furthermore, based on the target operation data and the urban power grid real-life model, a virtual environment corresponding to the physical power grid equipment can be created to obtain the power grid digital twin of the urban power grid, thereby globally visualizing the actual operation status of the urban power grid. Compared with the traditional solution of capturing the real-time operation status of the power grid through a single monitoring platform, the power grid digital twin constructed in this solution allows users to intuitively monitor the status of power grid equipment in the urban power grid in a virtual environment, thereby realizing accurate monitoring of the power grid operation status. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 is an application environment diagram of a power grid state monitoring method based on digital twins in one embodiment;

[0047] Figure 2 1 is a flow chart of a method for monitoring power grid status based on digital twins in one embodiment;

[0048] Figure 3 is a flow chart of a method for monitoring power grid status based on digital twins in another embodiment;

[0049] Figure 4 is a flowchart of a method for monitoring power grid status based on digital twins in a detailed embodiment;

[0050] Figure 5 is a structural block diagram of a power grid status monitoring device based on a digital twin in one embodiment;

[0051] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail 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 used to limit the present application.

[0053] The digital twin-based power grid status monitoring method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 104 via a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers.

[0054] Specifically, the staff may upload the real-life model of the urban power grid and the multi-source urban power grid operation data to the server 104 through the terminal 102 and the message queue. The server 104 collects and preprocesses the multi-source urban power grid operation data to obtain the target operation data, and then constructs the digital twin of the urban power grid based on the target operation data and the real-life model of the urban power grid. Finally, based on the digital twin of the power grid, the operation status of the urban power grid is monitored.

[0055] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0056] In an exemplary embodiment, Figure 2 As shown in the figure, a power grid state monitoring method based on digital twin is provided. Figure 1 Taking the server 104 in the example as an example, the following steps are included:

[0057] S100, obtaining a real-life model of a city power grid, and obtaining multi-source city power grid operation data through a message queue.

[0058] Among them, the real-life model of the urban power grid refers to a three-dimensional virtual model built based on actual power grid equipment and the surrounding environment, which can reflect the topological structure of the urban power grid, the location and outline of power grid equipment in the real physical space and other information. Multi-source urban power grid operation data is the real-time operation data of the urban power grid obtained from different devices, different sensors, and different platforms, including but not limited to voltage, current, load, temperature and other information. Because of its wide range of data sources and complex data types, it is called "multi-source". Message queue is a communication method. During the data transmission process, data can be temporarily stored in the message queue so that the receiver can process the data in the message queue one by one. It is suitable for scenarios with high concurrency and large data volumes.

[0059] Specifically, the real-life model of the urban power grid can be firstly based on the remote sensing images of the urban power grid collected by technical means such as drones and lidar scanning, and then constructed based on the remote sensing images. Furthermore, for each data source, select appropriate data acquisition protocols and interfaces, establish corresponding data access points and deploy data acquisition equipment or sensor nodes, so that the data acquisition equipment can collect urban power grid operation data in real time and stably. The use of wired or wireless communication methods such as Ethernet and cellular networks can improve the reliability and stability of the data link. Considering the speed and fault tolerance of data transmission, this solution adopts multi-link parallel transmission to realize the transmission of multi-source urban power grid operation data, thereby improving the efficiency of subsequent data merging, data collection and data preprocessing.

[0060] Considering that the message queue provides an asynchronous communication protocol, each record in the message queue contains detailed data, including the time of occurrence, the type of input device, and specific input parameters, that is, the sender and receiver of the message do not need to interact with the message queue at the same time. The message will be saved in the queue until the receiver retrieves it. Using message queue technology to obtain multi-source urban power grid operation data can realize the three functions of asynchronous loading, system decoupling and traffic peak shaving. For example, in a high-concurrency environment, the urban power grid operation data submitted by the subordinate is pushed to the message queue. The server makes judgments by listening to the data in the message queue and performs asynchronous processing, reducing the pressure on the database caused by a large amount of multi-source urban power grid operation data, thereby effectively improving the server delay response. In addition, the provincial platform can directly use the interface in the message queue to obtain county-level urban power grid operation data without frequently calling the city-level urban power grid operation data, thereby decoupling the data collection modules at the city and county levels. Moreover, in the process of obtaining urban power grid operation data, the peak traffic of the server is often concentrated in a short period of time. By introducing message queue technology, the peak traffic can be weakened, and the server is not easily overwhelmed by the peak traffic in a short period of time. For example, the urban power grid operation data collected by county-level sub-warehouses can be temporarily stored in the message queue, and the provincial general warehouse and the municipal combined warehouse only need to read the urban power grid operation data in the message queue, that is, the message queue is buffered.

[0061] S200, data collection and data preprocessing are performed on multi-source urban power grid operation data to obtain target operation data.

[0062] Among them, data collection refers to the integration of scattered data from different sources into a unified data set for subsequent analysis and processing. Data preprocessing includes but is not limited to data cleaning, format conversion, and standardization of multi-source urban power grid operation data.

[0063] Following the above steps, the server can collect data through message queue technology, and can also summarize and integrate multi-source urban power grid operation data from different data links through the pre-built data merging and collection system in the server. It can also use data lake, data warehouse and other technologies to centrally manage multi-source urban power grid operation data through data center or cloud platform, improve the consistency and accuracy of multi-source urban power grid operation data, and provide a reliable data foundation for subsequent analysis and application.

[0064] Furthermore, data preprocessing also includes data cleaning of multi-source urban power grid operation data. Exemplarily, data cleaning requires preliminary screening of the acquired multi-source urban power grid operation data, and quickly eliminating non-standard items by visual inspection and experience. It is also possible to obtain higher-quality multi-source urban power grid operation data from the source through communication, confirmation, etc., and then check the multi-source urban power grid operation data with logic and structure abnormalities based on data primary key uniqueness constraints, data association constraints, data integrity constraints and other conditions. It is also possible to combine business rules to identify and check the multi-source urban power grid operation data that violates or is obviously inconsistent with the actual situation.

[0065] Data preprocessing also includes data conversion. The input of the data conversion process includes: cleaned multi-source urban power grid operation data that can be used for conversion, data list, data dictionary, inspection and cleaning records, problem records, etc. The output of the data conversion process includes: converted standard tables, conversion logs, table lists, data dictionaries, supplementary problem records, etc.

[0066] The key point of the data conversion process is to continuously improve the conversion efficiency, which requires the accumulation of experience in handling abnormal problems and the continuous improvement of data cleaning and conversion efficiency. For example, in the process of data conversion, it is necessary to consider whether the conversion results are recognized by users, whether the results are available, and whether they need to be identified and verified through data verification. The pass rate of the data conversion process not only reflects the applicability of the conversion method, but also reflects the effectiveness of the data collection, data cleaning and processing, and data inspection phases of the multi-source urban power grid operation data at the source. In the process of data conversion quality control, the focus should be on: data quality, applicability of conversion methods, and proficiency in the operation process. In terms of improving data quality, it is necessary to start from the source so that the source provides real and complete data; in the process of data conversion, a list of problems should be established, problems should be solved one by one, obstacles in the conversion process should be cleared, and the conversion pass rate should be improved. In terms of improving the applicability of conversion methods, the data conversion implementation team needs to fully learn, sort out and understand the conversion rules, accurately master the conversion rules, accurately locate the problem when abnormalities occur in the data conversion process, and put forward opinions and suggestions in a targeted manner to promote function and performance optimization. In terms of improving operational proficiency, operators should promptly understand the feedback information during the execution of the conversion method, check the specific database operation status and error conditions in detail, and optimize and debug according to the errors and causes of the problems.

[0067] S300, builds a digital twin of the urban power grid based on target operation data and the real-life model of the urban power grid.

[0068] Among them, the digital twin of the power grid is a virtual model of the urban power grid, which can synchronously reflect the real-time status of power grid equipment in the urban power grid. Through the digital twin of the power grid, the operating status of the power grid can be monitored in real time, faults can be predicted and optimized operations can be performed.

[0069] Specifically, the acquired real-life model of the urban power grid and the target operating data are combined to construct a digital twin of the power grid. The digital twin of the power grid is not only a three-dimensional mapping of the power grid equipment, but also contains the real-time operating status data of each power grid equipment. The spatial information provided by the digital twin of the power grid and the real-time operating data collected by sensors deployed in the urban power grid can realize the synchronous linkage between the physical power grid and the virtual power grid.

[0070] For example, in the process of building a digital twin of a city power grid, it is necessary to associate the target operating data of each power grid device with its corresponding position in the three-dimensional model. For example, the voltage, current, temperature and other operating data of a substation are synchronously mapped to the corresponding power grid device position in the digital twin of the power grid to improve the consistency between the virtual environment and the actual environment.

[0071] S400, based on the digital twin of the power grid, monitors the operating status of the city power grid.

[0072] Following the above steps, the real-time monitoring of the operating status of the monitored city is realized based on the digital twin of the power grid. Since the digital twin of the power grid integrates multi-source urban power grid operation data and the real-life model of the urban power grid, it can form a full display of the status of the power grid equipment in the urban power grid, so that the server can monitor the actual operating status of each power grid equipment in a three-dimensional virtual environment, such as the load condition, power change, temperature, etc. of the power grid equipment. Furthermore, by analyzing the actual operating status of the power grid equipment and comparing it with the normal parameter range of the power grid equipment, the server can quickly identify abnormal conditions. When the status of the power grid equipment exceeds the preset threshold, the server can automatically alarm, mark the abnormal equipment, and provide corresponding early warning prompts.

[0073] The above-mentioned power grid status monitoring method based on digital twins obtains multi-source urban power grid operation data and urban power grid real-life models through message queues, and then collects and preprocesses the multi-source urban power grid operation data, which can provide a multi-dimensional analysis basis for subsequent monitoring of the operation status of the urban power grid. Furthermore, based on the target operation data and the urban power grid real-life model, a virtual environment corresponding to the physical power grid equipment can be created to obtain the power grid digital twin of the urban power grid, thereby globally visualizing the actual operation status of the urban power grid. Compared with the traditional solution of capturing the real-time operation status of the power grid through a single monitoring platform, the power grid digital twin constructed in this solution allows users to intuitively monitor the status of power grid equipment in the urban power grid in a virtual environment, thereby realizing accurate monitoring of the power grid operation status.

[0074] In an exemplary embodiment, Figure 3 As shown in the figure, the real-life model of the urban power grid is constructed based on the following methods:

[0075] S110, obtaining inventory data of the urban power grid and remote sensing image data of the urban power grid, wherein the inventory data includes power grid equipment data and topological structure data of the urban power grid.

[0076] S120, identifying device characteristic data of the power grid equipment in the urban power grid according to the power grid equipment data, and searching for a power grid equipment model component matching the device characteristic data from a preset model component library.

[0077] S130, determining the environmental model components of the urban power grid according to the remote sensing image data.

[0078] S140, constructing a city power grid real-scene model based on power grid equipment model components, environment model components, and topology data.

[0079] Among them, the ledger data includes detailed operation records of each power grid equipment in the urban power grid and the topological structure data of the urban power grid. Taking the distribution room as an example, the ledger data covers the key information of the power grid equipment in the distribution room, such as equipment information, equipment model, location, etc. Remote sensing image data is obtained through satellite images or drone aerial photography, covering high-precision images of urban power grids. Remote sensing image data contains information such as buildings, roads and vegetation in urban power grids, and is an important data source for the subsequent construction of real-life models of urban power grids. Equipment feature data refers to the detailed attributes of power grid equipment, including but not limited to type, specification, function, etc. The model component library contains model components of power grid equipment, which can be indexed in the model component library according to the type, model, characteristics, etc. of the equipment, and efficiently match the model components corresponding to the feature data of the power output equipment. Environmental model components refer to model components of the surrounding environment of non-power grid equipment in the urban power grid, including but not limited to buildings, roads and green belts, which can restore the actual geographical environment where the power grid equipment is located.

[0080] Following the above embodiments, taking the distribution room in the distribution network as an example, supported by ledger data and using reverse engineering thinking, high-efficiency, low-cost, and high-quality reverse automated three-dimensional modeling of the distribution room is achieved, and the wiring diagram, electronic ledger, three-dimensional model, and two-dimensional architectural drawing are integrated and strongly associated. Specifically, from the three dimensions of distribution transformers, cabinets, and equipment, combined with information such as type, model, and features, on the premise of meeting management requirements and good visual experience, a typical pilot distribution room is selected, and the typical equipment in the distribution room is sorted and summarized in a "fuzzy exhaustive" manner, and a three-dimensional model of the typical equipment in the distribution room is constructed, and a model index is established from the type, feature, and model dimensions, thereby constructing a model component library for power grid equipment.

[0081] Furthermore, the inventory data of the distribution room can be retrieved and identified to obtain the power grid equipment data, and then the key features of the power grid equipment data can be extracted to identify the equipment feature data of the power grid equipment in the urban power grid, such as the equipment category features and equipment model features of the power grid equipment. In this way, the power grid equipment model components can be matched from the pre-built model component library of the power grid equipment according to the key features such as the equipment category features and the equipment model features.

[0082] Then, the server can identify buildings, roads, vegetation, etc. in the remote sensing image data through key features such as texture features and shape features in the remote sensing image data, and construct environmental model components of these environmental elements, so that the real-life model of the urban power grid can be closer to the actual urban geographical layout.

[0083] Finally, based on the power grid equipment model components, environmental model components, and topological structure data, the urban power grid real-scene model is constructed. Specifically, the urban power grid real-scene model is generated by integrating the power grid equipment model components, environmental model components, and topological structure data, wherein the topological structure data provides an accurate relationship mapping for the connection between power grid equipment. In the process of constructing the urban power grid real-scene model, the server connects the power grid equipment models according to the topological relationship, so that the substations, lines, etc. are interconnected in the model. At the same time, the environmental model component serves as a geographical background support, so that the layout of the power grid equipment in the urban power grid real-scene model conforms to the actual scene.

[0084] In addition, taking the distribution room as an example, the wall, door, window, hole, column analysis and regional identification can be performed based on the CAD plane drawing of the distribution room, and the length, width, floor height, room name, etc. can be extracted through regular expressions to automatically generate the three-dimensional structure and regional identification of the building, which can be the association between the area and the ledger directory. Then, the ledger data is automatically strongly associated with the real-life model of the urban power grid to achieve the integrated linkage of the digital model. When the ledger data and topological structure data change, the real-life model of the urban power grid is automatically updated and adjusted based on the analysis of the ledger data and topological structure data. In addition, when constructing the real-life model of the urban power grid, the walls, doors, windows, columns, etc. can be quickly designed based on the web page based on the pre-designed three-dimensional modeling tools, and the voltage level area (distribution transformer level area, medium voltage level area, low voltage level area) can be loosely combined according to the ledger data, and the voltage level area can be quickly moved and rotated as a unit.

[0085] It should be noted that, taking the power grid equipment as a cable loop as an example, the model component library can be constructed based on the following methods: Cable-related data preparation: Prepare cable data (organized according to the cable loop data structure), the cable loop consists of a series of adjacent cable channel nodes; the channel node is an abstract logical node in the cable loop, consisting of a cable joint model (non-reusable part) and a cable channel model (reusable part); the channel node manages the bracket model data, cable data, and cable head data inside the channel. Data preprocessing: All cable loop data are collected in the preprocessing module for preprocessing to obtain the topological relationship of the cable channel node, as well as the placement position, orientation, and hanging point configuration information (including phase sequence, belonging loop, etc.) of the bracket. Posture calculation and model generation: The loop calculation module calculates the position and posture of the joint model managed by the channel node, the position and posture of the channel model, the transformation matrix of the bracket, and the hanging point position, and calculates the centerline data of the cable line according to the phase sequence based on the position of the hanging point on the bracket. Modeling is performed based on the posture information of the node joint model and the channel model and the channel section parameters, and a local model (including mesh / .material files) is generated. Modeling is performed based on the centerline data of the cable, the interface dimensions of the cable, and the material parameters, and a local model (including mesh / .material files) is generated. Data storage: Data storage is performed in units of cable loops (including data sets and logical data). Model data, position and posture information, etc. are recorded into the data set, and the model data is spatially indexed using the octree algorithm, and the logical object data organized by loop is recorded into the logical table. Data set data and logical data rendering: The data set in the database is loaded in the form of the underlying model layer (instance layer / non-instance layer), and rendered into the scene.

[0086] Moreover, after the real-life model of the urban power grid is constructed, the real-life model of the urban power grid can also be dynamically edited through the dynamic editing technology of the three-dimensional solid model. Specifically, the OpenFlight three-dimensional model database adopts a hierarchical node structure, which is particularly suitable for real-time rendering using an image generator. It has been supported by most virtual simulation systems and is considered to be the de facto industrial standard for spatial data formats in the current virtual simulation field. The main technical contents of the editing and reconstruction of the real-life model of the urban power grid in this scheme are as follows: providing a visual modeling environment for the real-life model of the urban power grid to realize the editing and reconstruction of the real-life model of the urban power grid; studying the conversion method from the CAD model to the virtual simulation model and realizing the data conversion from the dxf file to the OpenFlight model format; studying the collective feature expression of the two-dimensional mesh model, proposing an evaluation method for vertex geometric features for vertex grading, and designing a mesh model simplification algorithm based on the grading results.

[0087] Before dynamically editing the real-life model of the urban power grid, it is necessary to design the data structure and storage structure of the real-life model of the urban power grid, study the structural framework of the real-life model of the urban power grid, and design the interface between the real-life model of the urban power grid and external applications such as the model editor and the scene editor to provide query, browse, modify and other operations of the real-life model of the urban power grid. In addition, since the real-life model of the urban power grid involves a virtual geographic scene, the data organization of the virtual geographic scene can be studied in advance to design the definition file of the virtual geographic scene, design the visual definition and editing tool of the virtual scene, provide users with graphic operation functions to build the virtual geographic scene in a "what you see is what you get" manner, and design the roaming management tool of the virtual geographic scene so that users can query and edit three-dimensional scenes when browsing the virtual geographic scene.

[0088] In this embodiment, the ledger data provides the attributes of the power grid equipment, and the remote sensing image data provides environmental information. The combination of the two helps to establish an accurate and complete real-life model of the urban power grid and improve the consistency of the equipment and the environment. Subsequently, through equipment feature recognition and component library matching, the degree of automation in model construction is improved, the errors of manual modeling are reduced, and the accuracy of the real-life model of the power grid is improved. Finally, a real-life model of the urban power grid is constructed, which realizes the true restoration of the power grid equipment and environment in a three-dimensional environment, and provides a basis for subsequent operation status monitoring.

[0089] In an exemplary embodiment, S130 includes: extracting contour features of environmental elements in the urban power grid from remote sensing image data, constructing a three-dimensional space model of the urban power grid based on the contour features of the environmental elements, and performing monomer segmentation on the three-dimensional space model so that the environmental elements in the three-dimensional space model form separable entities to obtain environmental model components.

[0090] Among them, the contour features of environmental elements refer to the edge or shape features of environmental elements such as buildings, roads, and green belts in urban power grids in remote sensing image data. The three-dimensional space model is a stereoscopic model of environmental elements in three-dimensional space generated based on the extracted contour features, which can show the actual shape and position of environmental elements in space.

[0091] Specifically, according to high-resolution remote sensing images, more than 80% of the objects in urban power grids are buildings and roads. Based on remote sensing image data, change detection and reconstruction of urban power grids can be performed. With the development of remote sensing technology, high-resolution remote sensing image data can more clearly present the contour features of environmental elements such as buildings, including but not limited to texture features and shape features. Exemplarily, the contour features of environmental elements can be extracted using the U-net model, where the U-net model is a fully convolutional neural network without a fully connected layer, a U-shaped symmetrical encoder-decoder structure, and is composed of a convolutional layer, a maximum pooling layer, a deconvolution layer, and a ReLu nonlinear activation function, and its input and output are both image data of the same resolution. The U-net model follows the idea of ​​FCN for image semantic segmentation and can use a small amount of data to learn a model that is very robust to edge extraction. That is, it uses convolutional layers and maximum pooling layers to extract features, and then uses deconvolution layers to restore the image size. The design of the U-shaped structure can make the cropping and splicing process more intuitive and reasonable. The splicing of high-level feature maps and low-level feature maps and the repeated and continuous convolution operations enable the model to extract more accurate contour features of environmental elements from the combination of contextual information and detail information.

[0092] Furthermore, the TIN+CSG modeling method can be used to realize the rapid and automatic construction of environmental model components. Specifically, the TIN+CSG rapid modeling method is to use a one-time generation constraint TINCSG model to quickly extract and combine it with the CSG voxel growth method in the construction process of the TIN model to realize the rapid establishment of the three-dimensional space model of the urban power grid. Then, the spatial coordinates of the corner points of the buildings in the urban power grid are obtained by finding the vanishing point, so as to realize the rapid collection of the building structure. The voxel growth method used when constructing the building model using CSG voxels improves the assembly efficiency of the building model. Therefore, through the combination of the above two methods, the construction speed of the three-dimensional space model of the urban power grid is improved.

[0093] Finally, the complex three-dimensional space model of the urban power grid needs to be segmented and divided. The main ways to segment the three-dimensional model are logical segmentation and physical segmentation. Among them, logical segmentation refers to vectorizing the existing two-dimensional data such as road surfaces and house surfaces, and achieving segmentation by superimposing and highlighting them with the three-dimensional space model, and attaching attribute information through vector surfaces. Physical segmentation refers to the process of forming the ground, buildings, roads and urban components into an entity that can be selected and separated through three-dimensional reconstruction. Attributes can be added, and query statistics, analysis and other functions can be realized. Taking buildings as an example, oblique photogrammetry data can be used as the basic data source model, and the three-dimensional space model can be segmented based on the DP-Modeler physical segmentation reconstruction method. The reconstructed model is separated on the original scene, and then the texture of the side of the building can be collected by oblique photography. The automatic texture mapping method is used to complete the model mapping and obtain the environmental model component.

[0094] In this embodiment, by extracting the contour features of environmental elements, accurate boundary information can be provided for the subsequent three-dimensional space model, so that the three-dimensional space model can more realistically reflect the actual layout of the urban power grid. The subsequent monomer segmentation of the three-dimensional space model enables the environmental elements of the three-dimensional space model to be independently operated and managed, thereby improving the operability and flexibility of the model and providing greater convenience and accuracy for subsequent monitoring, analysis and decision-making.

[0095] In an exemplary embodiment, Figure 4 As shown, S300 includes:

[0096] S310, determining the target position of the power grid equipment corresponding to the target operation data in the urban power grid real-scene model.

[0097] S320, based on the target position of the power grid equipment in the urban power grid real-life model, the target operation data and the real-life model are associated to obtain a digital twin of the power grid.

[0098] Among them, the target operation data is the real-time operation information of the power grid equipment at a specific time or under specific conditions, including but not limited to voltage, current, power, temperature, etc. The target position means that each power grid equipment has its corresponding physical location in the three-dimensional real-life model. The power grid digital twin is a real-time mapping of the city power grid in virtual space. Through data association, real-time monitoring, prediction and simulation of the power grid equipment status can be achieved.

[0099] Specifically, the coordinate information of each power grid device can be matched with the coordinate system in the urban power grid real-life model to determine the target position of each power grid device in the urban power grid real-life model, so that the position of each power grid device in the three-dimensional space is consistent with the actual physical environment. Furthermore, based on the target position, the operating data of each power grid device is associated with the device model in the real-life model to generate a digital twin of the power grid. The data association method can adopt data tagging or attribute binding, that is, the target operating data of the power grid device (such as voltage, current, temperature, etc.) is attached to the urban power grid real-life model as a model attribute. In this way, each power grid device in the urban power grid real-life model not only has its spatial position attribute, but also has a real-time status attribute, so that the urban power grid real-life model can reflect the actual operation of the urban power grid in real time, forming a dynamic digital twin.

[0100] In this embodiment, by locating the target position of the power grid equipment in the urban power grid real-life model, the target operation data can be accurately associated with the specific position in the urban power grid real-life model, so that the target operation data can be associated with the urban power grid real-life model, realizing real-time mapping of the urban power grid operation status, and constructing a dynamic power grid digital twin, which can improve the intuitiveness and accuracy of power grid monitoring and provide support for subsequent intelligent analysis, fault prediction and status warning.

[0101] In an exemplary embodiment, Figure 4 As shown, S400 includes:

[0102] S410, determining the distance between each grid device in the urban grid and the structural characteristic data of each grid device according to the grid digital twin.

[0103] S410, determining distribution data of video acquisition devices in the urban power grid according to the distance between each power grid device and the structural characteristic data, and deploying the video acquisition devices in the urban power grid according to the distribution data.

[0104] S420, stitching the image data collected by the video collection device to obtain panoramic image data of the city power grid, and monitoring the operation status of the city power grid based on the panoramic image data.

[0105] The structural feature data refers to the geometric and physical properties of each power grid device, such as size, shape, material, etc. The distribution data of the video acquisition device includes but is not limited to the installation location, orientation, and shooting range of each video acquisition device. Reasonable distribution data can enable the video acquisition device to maximize the spatial coverage of the urban power grid.

[0106] For example, based on the digital twin of the power grid, it is possible to calculate and analyze the distances between various power equipment and the detailed composition of facilities. At the same time, combined with the high-definition image information of the urban power grid, the real pictures and scenes can be restored. The coverage of a fixed point required for panoramic video monitoring and splicing can be deeply analyzed, and the required number of surveillance cameras and the specific locations of the cameras can be obtained. The cameras can be deployed based on this, and the reasonable deployment of surveillance cameras can be achieved, thereby collecting accurate and effective real-time operation data, so that subsequent video splicing can form high-quality panoramic image data and efficiently monitor the operation status of the urban power grid.

[0107] Taking panoramic video as an example of panoramic image data, considering the high resolution and high bit rate characteristics of panoramic video, the transmission, decoding and splicing of panoramic video on the streaming media platform have certain influences and limitations. In order to enable the user end to synchronously receive and interpret high-definition panoramic video, the adaptive fusion technology of smart video terminal can be used to integrate multi-level interactions such as video image sequence, fusion algorithm, and terminal interface, and automatically adjust the measurement value and sampling amount in combination with different tracking effects, so that the video terminal and panoramic video can be completely and effectively integrated, so that in different devices, different scenarios, and different application situations, a complete and clear video picture can be presented based on the corresponding needs, thereby improving the accuracy and clarity of each video image part of the power grid equipment.

[0108] It should be noted that panoramic video stitching is to use the characteristics of large overlapping areas between adjacent frames in panoramic videos to stitch into a panoramic image with a wide viewing angle. The key lies in image matching and image fusion. Specifically, based on high-definition video images of multiple different viewing angles and different pictures of the urban power grid, the intelligent stitching platform and the streaming media platform are combined to extract and preprocess the collected video images, match the SURF feature points with the feature points, and automatically apply the intelligent algorithm to calculate the pixel points in the matrix area for complete image fusion, thereby forming a complete and clear panoramic video image. In addition, by using the panoramic high-intelligent stitching technology, when the streaming media platform monitors and inspects the transmission lines or power grid equipment in the urban power grid, it can intelligently stitch the massive images obtained from all camera points of the line to obtain a complete panoramic image of the line, realize clear observation and real-time positioning of the target equipment and lines being tracked, break the traditional situation of difficult splitting and positioning of scattered video monitoring, and bring convenient and comfortable monitoring and inspection experience to the operation and maintenance personnel, while being able to timely discover hidden dangers and specific locations, and promote the safe operation of power grid lines. In addition, based on the highly intelligent and high-definition smart stitching panoramic images, it can also provide complete display and popular science demonstration according to corresponding business needs. It has multi-source value and injects new impetus into the intelligent monitoring and operation and maintenance of power grids.

[0109] In this embodiment, the distribution of video acquisition devices in the urban power grid is analyzed through the digital twin of the power grid, so that the video acquisition devices can cover the spatial range of the power grid equipment as much as possible. The panoramic image data obtained by stitching the image data collected can provide the operating status of the urban power grid from a global perspective, thereby improving the monitoring efficiency.

[0110] In an exemplary embodiment, S400 includes: acquiring real-time image data of the urban power grid, visually displaying the digital twin of the power grid, and synchronously displaying the real-time image data corresponding to the target location selected by the user in the digital twin of the power grid to monitor the operating status of the urban power grid.

[0111] Specifically, by combining real-time image data with the digital twin of the power grid, users can select specific equipment or areas in the digital twin of the power grid, and the terminal connected to the server will synchronously display the real-time image data of the equipment or area.

[0112] For example, in view of the difficulty of traditional multi-source heterogeneous data integration models to achieve conceptual layer relationship mapping between heterogeneous systems through middleware, and the problems of difficulty in expanding applications and low transmission performance, this solution conducts data integration technology research, adapts to the integration of large-scale digital twin scenes and massive video surveillance resources in complex scenarios, realizes visualization in one picture, and solves the decentralized management of multi-source data. Specifically, we can first obtain the real-time data (real-time image data) of the full-space monitoring within the scope of the power grid digital twin, develop data integration components, establish data interfaces, access different types of data sources, and standardize the data format of data objects to complete data integration work, so as to achieve data extraction and visualization-oriented, provide users with a unified data model view, and realize unified data management.

[0113] Furthermore, through feature recognition, one or more perspectives presented by the camera image sequence video are matched with the power grid digital twin to realize the linkage between the virtual scene and the real-time video. In the digital twin scene, users can browse the macroscopic panorama and simultaneously associate monitoring equipment such as gyroscopes and cameras to obtain close-up images. Users can select the position and perspective in the three-dimensional scene with the mouse, and the monitoring camera in the urban power grid can automatically capture the real-time video image of the position, so that users can select the best perspective for observation, providing an effective means for continuous and accurate monitoring of moving targets. At the same time, it also provides strong technical support for monitoring personnel to quickly obtain the required video information and make judgments and responses in a timely manner, solving problems such as unclear details and perspective deviation, so that they can see everything clearly, and realize panoramic detail tracking and collaborative browsing of panoramic fusion images and monitoring details. It should be noted that through real-time picture calibration and virtual-real synchronous visualization under the control of digital twin 3D, the video picture is calibrated according to the three-dimensional scene position clicked by the user, so that the video and the scene can be displayed synchronously with the same perspective in the digital scene. Based on the unified linkage operation of the three-dimensional scene and the monitoring camera, it can be operated arbitrarily in the digital twin scene to realize the browsing of the synchronous video perspective. At the same time, it supports two-dimensional scenes as the overall observation picture, and three-dimensional scenes for perspective following browsing of specific areas, so as to achieve coordinated and unified situational awareness of the overall macro and detailed scenes, and efficiently used for business command. Bingjie works through the human vision of the algorithm model. The digital twin of the power grid can also be applied to dangerous scenarios that are not suitable for manual operations and work where defects are difficult for the human eye to identify, to achieve zero-contact operation between workers and power lines.

[0114] In this embodiment, the user can intuitively select the target location in the digital twin and view the corresponding real-time status, which enhances the interactivity of power grid monitoring, improves the flexibility and operational efficiency of monitoring, and facilitates the rapid location and resolution of potential problems.

[0115] In an exemplary embodiment, S400 includes: constructing a twin scenario of the urban power grid based on the digital twin of the power grid, and remotely monitoring the operating status of the urban power grid based on the twin scenario of the urban power grid.

[0116] Specifically, based on the model of the digital twin of the power grid, a power grid twin scene is generated through virtual projection, and remote inspections are carried out in this scene. The inspection process uses virtual models to enable inspectors to observe the urban power grid from different angles, monitor the operating status of equipment, and discover potential hidden dangers.

[0117] For example, based on the virtual scene differential positioning technology, with the support of tracking and positioning technology, the coordinates in the virtual world and the real scene can be unified, the model can be seamlessly superimposed with the real world, and the positioning accuracy can be maximized, so as to realize the accurate projection of the twin scene of the urban power grid. Tracking and positioning technology and calibration technology jointly complete the detection of position and orientation, and transmit data to the AR system to unify the coordinates of the tracked object in the real world with the coordinates in the virtual world, so that users can accurately inspect in the virtual twin scene. For example, at a certain point in the line path of the cable engineering line that has been put into operation, the augmented reality device is started to identify the real scene, and the three-dimensional model of the line at the current position is loaded in real time according to the longitude and latitude coordinates and direction data, so as to realize the seamless superposition of the digital model with the real world. In addition, the location of the model can be verified by multiple measurements of the locator, calculating less errors, and performing offset correction operations on the point cloud data scanned on site. On the other hand, the AR system needs to perform a lot of calibration, and the measurement values ​​include camera parameters, field of view range, sensor offset, object positioning and deformation, etc. Combining longitude and latitude data with spatial anchor point technology to perform high-precision positioning for automatic differential conversion of spatial coordinate systems, the accuracy is 10cm~5m, which increases with the displacement and restores the highest accuracy after resetting the positioning, thus achieving accurate projection of the twin scene of the urban power grid.

[0118] Furthermore, taking the inspection of high-voltage cables as an example, inspectors can browse the digital twin scene of high-voltage cables by wearing AR devices, and form multiple interaction modes such as eyeballs, voice, and gestures between inspectors and the digital twin of the power grid. Eye tracking technology can accurately understand where inspectors are looking and understand their intentions; speech recognition technology converts natural language into computer language and recognizes the voice commands issued by inspectors; hand motion analysis technology uses hand tracking to obtain information on each node of the hand, and uses the hand data of inspectors as input to achieve interaction with virtual scenes; inspectors use eye gaze, voice commands, hand clicks and other actions to achieve data acquisition, control movement, perspective adjustment, distance measurement and other operations. Through a series of high-tech assistance to optimize the implementation plan of on-site inspections, it can achieve functions such as inspection business guidance, inspection line planning, establishment of inspection indicators, and establishment of inspection hotspot libraries.

[0119] Taking the inspection of cable trenches as an example, since the cable trenches are closed and the space is small, the use of AR technology to achieve on-site perspective inspection of the cable trenches only requires opening the augmented reality device to map the digital twin of the urban power grid to the location of the cable trench in the real world, so as to achieve perspective inspection of the cable trench on the road surface, and to achieve viewing of the model and equipment at different angles through perspective transformation and adjustment, and to obtain cable ledger information through interactive operations. In addition, inspectors can also wear AR devices during office patrols to display the virtual scene of the cable trench in the augmented reality device. Areas that cannot be directly touched or seen in the cable trench, such as internal information of the equipment, can be directly presented to the inspectors with the support of AR technology, thus achieving remote inspection of the cable trench.

[0120] Taking the inspection of cable tunnels as an example, during the on-site inspection of cable tunnels, inspectors can virtually project various information of the target scene in front of their eyes by wearing AR devices. With the support of precise positioning technology, this information is accurately superimposed on the high-voltage cables in a certain form. The inspectors can use the tunnel roaming function to view the details of the entire tunnel model in the tunnel, and perform operation and maintenance of the tunnel cables according to the inspection focus points and under the guidance of the inspection operation specifications. Inspectors can also wear AR devices in the office, set the relative position of the wearer in the tunnel, and virtually project the twin scenes of the cable tunnel in front of their eyes. They can move in the tunnel and roam the cable tunnel by walking or voice control. With the support of environmental dynamic perception technology, abnormalities in the tunnel are fed back to inspectors through augmented reality devices. Inspectors can view hidden danger alarms in real time, realize remote inspections, and output inspection reports.

[0121] In this embodiment, virtual projection and remote inspection enhance the convenience of monitoring the operation status of the power grid, allowing inspection personnel to view the equipment status in real time without going to the site, realizing remote management of large-scale power grids and reducing the time and cost of manual inspection.

[0122] In order to provide a more detailed description of the power grid status monitoring method based on digital twins in this application, Figure 4 and one The method is explained in detail in a detailed embodiment, which comprises the following steps:

[0123] S110, obtaining inventory data of the urban power grid and remote sensing image data of the urban power grid, wherein the inventory data includes power grid equipment data and topological structure data of the urban power grid.

[0124] S120, identifying device characteristic data of the power grid equipment in the urban power grid according to the power grid equipment data, and searching for a power grid equipment model component matching the device characteristic data from a preset model component library.

[0125] S130, determining the environmental model components of the urban power grid according to the remote sensing image data.

[0126] S140, constructing a city power grid real-scene model based on power grid equipment model components, environment model components, and topology data, and acquiring multi-source city power grid operation data through a message queue.

[0127] S200, data collection and data preprocessing are performed on multi-source urban power grid operation data to obtain target operation data.

[0128] S310, determining the target position of the power grid equipment corresponding to the target operation data in the urban power grid real-scene model.

[0129] S320, based on the target position of the power grid equipment in the urban power grid real-life model, the target operation data and the real-life model are associated to obtain a digital twin of the power grid.

[0130] S410, determining distribution data of video acquisition devices in the urban power grid according to the distance between each power grid device and the structural characteristic data, and deploying the video acquisition devices in the urban power grid according to the distribution data.

[0131] S420, stitching the image data collected by the video collection device to obtain panoramic image data of the city power grid, and monitoring the operation status of the city power grid based on the panoramic image data.

[0132] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0133] Based on the same inventive concept, the embodiment of the present application also provides a digital twin-based power grid state monitoring device for implementing the digital twin-based power grid state monitoring method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the digital twin-based power grid state monitoring device provided below can refer to the limitations of the digital twin-based power grid state monitoring method above, and will not be repeated here.

[0134] In an exemplary embodiment, Figure 5 As shown, a power grid state monitoring device 500 based on digital twin is provided, comprising: a data acquisition module 510, a data processing module 520, a twin construction module 530 and a state monitoring module 540, wherein:

[0135] The data acquisition module 510 is used to acquire the real-scene model of the urban power grid and to acquire multi-source urban power grid operation data through a message queue.

[0136] The data processing module 520 is used to collect and pre-process the multi-source urban power grid operation data to obtain target operation data.

[0137] The twin construction module 530 is used to construct a digital twin of the urban power grid based on the target operation data and the real-life model of the urban power grid.

[0138] The status monitoring module 540 is used to monitor the operating status of the urban power grid based on the power grid digital twin.

[0139] In one embodiment, the digital twin-based power grid status monitoring device 500 is also used to obtain the inventory data of the urban power grid and the remote sensing image data of the urban power grid. The inventory data includes power grid equipment data and topological structure data of the urban power grid. According to the power grid equipment data, the equipment characteristic data of the power grid equipment in the urban power grid is identified, and the power grid equipment model component matching the equipment characteristic data is found from the preset model component library. According to the remote sensing image data, the environmental model component of the urban power grid is determined, and according to the power grid equipment model component, the environmental model component, and the topological structure data, a real-life model of the urban power grid is constructed.

[0140] In one embodiment, the digital twin-based power grid status monitoring device 500 is also used to extract contour features of environmental elements in the urban power grid from remote sensing image data, construct a three-dimensional space model of the urban power grid according to the contour features of the environmental elements, and perform monomer segmentation on the three-dimensional space model so that the environmental elements in the three-dimensional space model form separable entities to obtain environmental model components.

[0141] In one embodiment, the twin construction module 530 is also used to determine the target position of the power grid equipment corresponding to the target operation data in the urban power grid real-life model, and based on the target position of the power grid equipment in the urban power grid real-life model, associate the target operation data and the real-life model to obtain the power grid digital twin.

[0142] In one embodiment, the status monitoring module 540 is also used to determine the distance between each grid device in the urban power grid and the structural characteristic data of each grid device based on the digital twin of the power grid, determine the distribution data of the video acquisition device in the urban power grid based on the distance between each grid device and the structural characteristic data, deploy the video acquisition device in the urban power grid based on the distribution data, splice the image data collected by the video acquisition device to obtain panoramic image data of the urban power grid, and monitor the operating status of the urban power grid based on the panoramic image data.

[0143] In one embodiment, the status monitoring module 540 is also used to obtain real-time image data of the urban power grid, visualize the digital twin of the power grid, and synchronously display the real-time image data corresponding to the target location selected by the user in the digital twin of the power grid to monitor the operating status of the urban power grid.

[0144] In one embodiment, the status monitoring module 540 is also used to construct a twin scenario of the urban power grid based on the digital twin of the power grid, and remotely monitor the operating status of the urban power grid based on the twin scenario of the urban power grid.

[0145] Each module in the above-mentioned digital twin-based power grid status monitoring device can be implemented in whole or in part by software, hardware, and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0146] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as a real-life model of the urban power grid. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a power grid state monitoring method based on a digital twin is implemented.

[0147] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0148] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps in any one of the above-mentioned embodiments of the digital twin-based power grid status monitoring method are implemented.

[0149] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in any one of the above-mentioned embodiments of the digital twin-based power grid status monitoring method are implemented.

[0150] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps of any one of the above-mentioned embodiments of the digital twin-based power grid state monitoring method.

[0151] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0152] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0153] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above 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 application.

[0154] The above-described 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 present application. 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 present application shall be subject to the attached claims.

Claims

1. A method for monitoring power grid status based on digital twins, characterized in that: The method comprises: Obtain the real-life model of the urban power grid, and obtain multi-source urban power grid operation data through message queues; Performing data collection and data preprocessing on the multi-source urban power grid operation data to obtain target operation data; Constructing a digital twin of the urban power grid according to the target operation data and the urban power grid real-scene model; Based on the digital twin of the power grid, the operating status of the urban power grid is monitored.

2. The method according to claim 1, characterized in that The urban power grid reality model is constructed based on the following methods: Acquire the ledger data of the urban power grid and the remote sensing image data of the urban power grid, wherein the ledger data includes power grid equipment data and topological structure data of the urban power grid; According to the power grid equipment data, device characteristic data of the power grid equipment in the city power grid is identified, and a power grid equipment model component matching the device characteristic data is searched from a preset model component library; Determining the environmental model components of the urban power grid according to the remote sensing image data; The city power grid real-scene model is constructed based on the power grid equipment model component, the environment model component, and the topology structure data.

3. The method according to claim 2, characterized in that Determining the environmental model component of the urban power grid according to the remote sensing image data includes: Extracting contour features of environmental elements in the urban power grid from the remote sensing image data; Constructing a three-dimensional spatial model of the urban power grid according to the contour features of the environmental elements; The three-dimensional space model is divided into monomers so that the environmental elements in the three-dimensional space model form separable entities to obtain the environmental model component.

4. The method according to any one of claims 1 to 3, characterized in that: The step of constructing a digital twin of the urban power grid according to the target operation data and the urban power grid real-scene model includes: Determine the target position of the power grid equipment corresponding to the target operation data in the city power grid real-life model; Based on the target position of the power grid equipment in the city power grid real-life model, the target operation data and the real-life model are associated to obtain the power grid digital twin.

5. The method according to any one of claims 1 to 3, characterized in that: The monitoring of the operation status of the urban power grid based on the power grid digital twin includes: Determine the distance between each grid device in the city grid and the structural characteristic data of each grid device according to the grid digital twin; Determining distribution data of video acquisition devices in the urban power grid according to the distances between the power grid devices and the structural characteristic data; deploying the video acquisition device in the urban power grid according to the distribution data; splicing the image data collected by the video acquisition device to obtain panoramic image data of the urban power grid; The operating status of the urban power grid is monitored based on the panoramic image data.

6. The method according to any one of claims 1 to 3, characterized in that: The monitoring of the operation status of the urban power grid based on the power grid digital twin includes: Obtain real-time image data of the city power grid; Visually displaying the power grid digital twin; According to the target location selected by the user in the digital twin of the power grid, real-time image data corresponding to the target location is synchronously displayed to monitor the operating status of the urban power grid.

7. The method according to any one of claims 1 to 3, characterized in that: The monitoring of the operation status of the urban power grid based on the power grid digital twin includes: According to the digital twin of the power grid, a twin scenario of the urban power grid is constructed; According to the twin scenario of the urban power grid, the operating status of the urban power grid is remotely monitored.

8. A power grid status monitoring device based on digital twin, characterized in that: The device comprises: The data acquisition module is used to obtain the real-life model of the urban power grid and obtain multi-source urban power grid operation data through message queues; A data processing module, used for collecting and preprocessing the multi-source urban power grid operation data to obtain target operation data; A twin construction module, used to construct a power grid digital twin of the urban power grid according to the target operation data and the urban power grid real-scene model; A status monitoring module is used to monitor the operating status of the urban power grid based on the digital twin of the power grid.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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