Transparent visual power grid operation and maintenance system

Abstract

A transparent visual power grid operation and maintenance system comprises a data acquisition and preprocessing module which is composed of a sensor network and SCADA system docking unit and a data preprocessing unit; the data processing and analysis module is composed of a fault prediction and diagnosis unit, an operation and maintenance strategy optimization unit and a three-dimensional modeling and dynamic simulation unit; the visual display and user interaction module is composed of an AR / VR interface development unit and a user-defined interface and report generation unit; and the system integration and communication module is composed of a standardized API interface and cloud platform unit and a remote access and cooperation unit, and the scheme of the invention solves the problem that the complexity of power grid operation and maintenance system data causes that detection information is difficult to provide visually, thereby affecting the operation and maintenance work quality and efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of power grid operation and maintenance, and in particular relates to a transparent and visual power grid operation and maintenance system. Background Art

[0002] The power grid operation and maintenance system is a comprehensive management platform that integrates real-time monitoring, fault warning, data analysis and intelligent dispatching. It aims to improve the safety, stability and efficiency of power grid operation through digital means, realize remote monitoring, automated maintenance and rapid fault response of power grid equipment, and ensure continuous and reliable power supply.

[0003] In the prior art, for example, the Chinese patent with announcement number CN115933508A relates to an intelligent power operation and maintenance system for a distribution network, including an operation and maintenance management platform, which is communicatively connected to a device management module, an alarm analysis module, a comprehensive analysis module and a storage module. Although the operation status of the power grid can be monitored and managed, due to the complexity of the power grid data, it not only increases the management difficulty of the operation and maintenance personnel, but also the delay of the data increases the response time of the power grid system to failures, and therefore cannot meet the power grid operation and maintenance needs. Summary of the invention

[0004] In order to address the deficiencies in the prior art, the present invention provides a transparent and visual power grid operation and maintenance system to solve the technical problem that the complexity of the power grid operation and maintenance system data makes it difficult to intuitively provide detection information, thereby affecting the quality and efficiency of operation and maintenance work.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions.

[0006] The present invention first discloses a transparent and visual power grid operation and maintenance system, including: It includes data acquisition and preprocessing module, data processing and analysis module, visualization and user interaction module and system integration and communication module. The data acquisition and preprocessing module consists of a sensor network and SCADA system docking unit and a data preprocessing unit, which is used to obtain power grid operation output from multiple dimensions; The input end of the data processing and analysis module is connected to the output end of the data acquisition and preprocessing module. The data processing and analysis module consists of a fault prediction and diagnosis unit, an operation and maintenance strategy optimization unit, and a three-dimensional modeling and dynamic simulation unit, and is used to construct a fault prediction and diagnosis model, an operation and maintenance strategy optimization model, and three-dimensional modeling and dynamic simulation; The input end of the visualization and user interaction module is connected to the output end of the data processing and analysis module. The visualization and user interaction module consists of an AR / VR interface development unit and a custom interface and report generation unit, and is used to display and effectively interact with the power grid operation status; The input end of the system integration and communication module is connected to the output end of the visualization and user interaction module. The system integration and communication module consists of a standardized API interface, a cloud platform unit, and a remote access and collaboration unit, and is used for docking and collaborative operation between system modules.

[0007] The present invention further includes the following preferred embodiments: The sensor network and SCADA system docking unit includes current sensors, voltage sensors and temperature sensors, and is deployed at key nodes of the power grid. Standardized communication protocols and API interfaces are used to achieve the docking of the sensor network and the SCADA system. The data preprocessing unit is used to achieve data cleaning and data integration. In data cleaning, a missing value filling algorithm and an outlier detection algorithm are applied to clean the original data. In data integration, data fusion technology is used to integrate the data from the sensor network and the SCADA system to form a unified data set.

[0008] The fault prediction and diagnosis unit is used to use a deep learning model combined with an attention mechanism to perform time series prediction on the operating status of power grid equipment and detect potential faults in advance. The operation and maintenance strategy optimization unit is used to apply a reinforcement learning algorithm to optimize the operation and maintenance strategy according to the real-time status and operation and maintenance cost of the power grid.

[0009] The three-dimensional modeling and dynamic simulation unit uses three-dimensional modeling software and power grid simulation software, combined with the actual layout and equipment parameters of the power grid, to build a three-dimensional digital twin model of the power grid. Based on the physical engine and data-driven model, the operating status of the power grid is dynamically simulated in the three-dimensional model, including power flow and equipment temperature changes. At the same time, combined with real-time rendering technology, real-time updating and display of the model can be achieved.

[0010] The AR / VR interface development unit includes an AR interface and a VR interface. The AR interface is developed using ARKit or ARCore technology, and the real-time status and warning information of power grid equipment can be intuitively viewed through mobile devices or AR glasses. The VR interface is developed based on the Unity or Unreal Engine engine, and gesture recognition technology is combined to achieve natural interaction with the virtual environment.

[0011] The custom interface and report generation unit provides draggable and configurable interface elements, customizes the interface layout and data display method according to personal habits and needs, and uses report generation tools to automatically generate transparent operation and maintenance reports based on the results of the data processing and analysis layer, including power grid efficiency analysis, fault history review, and maintenance plan recommendations.

[0012] The standardized API interface and cloud platform unit follow the RESTful principle, design a standardized API interface, adopt the OAuth2 authentication mechanism, select the cloud platform to build the cloud native environment of the system, use the microservice architecture, split the system into multiple independent services, and use containerization technology to complete the deployment and migration of services.

[0013] The remote access and collaboration unit provides a Web-based remote access interface, supports cross-regional and cross-platform operation and maintenance operations, adopts SSL / TLS encryption technology, integrates online collaboration tools, supports real-time communication and collaboration between operation and maintenance teams, and combines with version control systems to complete collaborative management and version tracking of codes and documents.

[0014] Accordingly, the present application also discloses a terminal, including a processor and a storage medium; The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the transparent and visualized power grid operation and maintenance system.

[0015] Correspondingly, the present application also discloses a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the aforementioned transparent and visual power grid operation and maintenance system is implemented.

[0016] The beneficial effect of the present invention is that, compared with the prior art, the present invention provides a transparent and visual power grid operation and maintenance system: 1. Through the comprehensive deployment of sensor networks and real-time data collection by data acquisition software, a large amount of real-time data can be obtained during the operation of the power grid. The data cleaning algorithm can effectively remove noise and invalid information in the data, improve the accuracy and reliability of the data, and connect with the SCADA system to realize the integration of multi-source data and enrich the content and dimension of the data. Data integration processing ensures the consistency and availability of the data, providing a solid foundation for subsequent data analysis. The normalization and standardization processing in the data preprocessing step can eliminate the dimensional differences and uneven distribution problems between the data, improve the comparability of the data and the analysis effect of the subsequent machine learning model, and make the analysis results more accurate and reliable. Real-time and accurate data collection and preprocessing can timely discover anomalies and faults in the operation of the power grid, provide timely warning and diagnosis information for operation and maintenance personnel, and reduce the cost and time of fault handling.

[0017] 2. By applying deep learning models and machine learning algorithms, the failure risks of power grid equipment can be accurately predicted, and the accuracy and timeliness of fault prediction can be improved. The fault diagnosis model can quickly identify the type and degree of faults, provide timely fault handling suggestions for operation and maintenance personnel, and shorten the fault handling time. The operation and maintenance strategy optimization model can comprehensively consider multiple factors such as cost, efficiency, and safety to find the optimal operation and maintenance strategy. By optimizing the operation and maintenance strategy, the operation and maintenance cost can be reduced, the operation and maintenance efficiency can be improved, and the economic operation of the power grid can be achieved. The fault prediction and diagnosis model can timely discover the potential failure risks of power grid equipment and provide early warning information for operation and maintenance personnel to prevent the occurrence and expansion of faults. The operation and maintenance strategy optimization model can ensure that operation and maintenance operations are carried out under the premise of meeting safety requirements, thereby improving the safety of power grid operation. Three-dimensional modeling and dynamic simulation technology can provide operation and maintenance personnel with an intuitive and realistic display of the power grid operation status, enhance their understanding and mastery of power grid operation, and provide decision support for operation and maintenance personnel by simulating the power grid operation status under different operation and maintenance strategies, helping to formulate more scientific and reasonable operation and maintenance plans.

[0018] 3. Through intuitive visual display, users can quickly understand the operating status and fault conditions of the power grid, reducing the time for understanding and processing information. The user interaction function enables users to easily query, report and modify relevant information, improving decision-making efficiency and accuracy. The friendly user interface and interactive design enable users to easily get started and quickly become familiar with the operation of the system. The visual display can reflect the operating status and fault conditions of the power grid in real time, helping operation and maintenance personnel to discover and deal with problems in a timely manner. The user interaction function enables operation and maintenance personnel to easily submit fault reports and modify operation and maintenance strategies, improving operation and maintenance efficiency and response speed. The visual display and user interaction functions enable power grid operation and maintenance information to be shared and transmitted more conveniently between different departments and personnel, which helps to promote collaboration and communication between departments and improve the overall level and efficiency of power grid operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of the transparent and visual power grid operation and maintenance system in the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clear, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0021] The embodiments described in this application are only some embodiments of the present invention, not all embodiments. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0022] In view of the deficiencies of the prior art, the present invention proposes a transparent and visual power grid operation and maintenance system, including a data acquisition and preprocessing module, a data processing and analysis module, a visual display and user interaction module, and a system integration and communication module. Each module is independently designed, developed, and tested to ensure low coupling and high cohesion between modules. A layered architecture, such as a presentation layer, a business logic layer, and a data access layer, is adopted to realize the hierarchical and structuring of the system, and to customize and expand it according to the specific scale and needs of the power grid. Through clear hierarchical division, the maintenance, expansion, and upgrade of the system are facilitated. The system is built on a cloud platform and utilizes the elastic expansion capabilities of cloud computing to support power grids of various sizes. It also supports remote access and collaboration, and promotes cross-regional and cross-team operation and maintenance cooperation.

[0023] The data acquisition and preprocessing module consists of a sensor network and SCADA system docking unit and a data preprocessing unit, which is used to obtain power grid operation output from multiple dimensions. Through sensor network deployment, SCADA system docking, data cleaning and preprocessing, high-quality, multi-dimensional power grid operation data can be obtained, providing strong support for subsequent data analysis, fault prediction and diagnosis, and operation and maintenance strategy optimization.

[0024] The input end of the data processing and analysis module is connected to the output end of the data acquisition and preprocessing module. The data processing and analysis module consists of a fault prediction and diagnosis unit, an operation and maintenance strategy optimization unit, and a three-dimensional modeling and dynamic simulation unit. The module is used to construct a fault prediction and diagnosis model, construct an operation and maintenance strategy optimization model, and realize three-dimensional modeling and dynamic simulation; realize comprehensive monitoring and analysis of the operation status of the power grid, provide timely and accurate decision support for operation and maintenance personnel, and improve the operation efficiency, safety and economy of the power grid.

[0025] The input end of the visualization and user interaction module is connected to the output end of the data processing and analysis module. The visualization and user interaction module consists of an AR / VR interface development unit and a custom interface and report generation unit, and is used to display and effectively interact with the power grid operation status. By designing an intuitive and easy-to-use user interface, rich visualization elements and convenient user interaction functions, it is possible to achieve a comprehensive display and effective interaction of the power grid operation status, improve user understanding and decision-making efficiency, enhance user experience and satisfaction, improve operation and maintenance efficiency and response speed, and promote information sharing and collaboration.

[0026] The input end of the system integration and communication module is connected to the output end of the visualization and user interaction module. The system integration and communication module consists of a standardized API interface, a cloud platform unit, and a remote access and collaboration unit, which is used for docking and collaborative operation between the modules of the system. According to the scale and needs of the power grid, select appropriate servers and storage devices to deploy and configure the system, ensure the stability and security of the system, and take necessary measures to prevent data leakage and illegal access. Through system architecture design, communication protocol and interface design, data integration and synchronization, system deployment and integration testing, it is possible to achieve docking and efficient collaborative work between the modules of the system, improve the reliability, stability, scalability and flexibility of the system, reduce the system maintenance cost, and promote cross-departmental collaboration and information sharing.

[0027] The sensor network and SCADA system docking unit includes current sensors, voltage sensors and temperature sensors, and is deployed at key nodes of the power grid. Standardized communication protocols and API interfaces are used to establish the docking of the sensor network and the SCADA system, and realize sensor network deployment and data collection. Communication protocols, such as TCP / IP, HTTP, and WebSocket, ensure the reliable transmission of data between modules. According to the real-time, security, and bandwidth requirements of the data, a suitable communication method is selected, and a standardized API interface is designed for data exchange and calling between modules. The interface should have good compatibility, scalability, and security to ensure the docking between different modules.

[0028] The data preprocessing unit is used to realize data cleaning and data integration. Among them, data cleaning uses missing value filling algorithm and outlier detection algorithm to clean the original data, remove noise and invalid information in the data, improve the quality of the data, normalize or standardize the data, eliminate the dimensional differences and uneven distribution between the data, improve the comparability of the data and the effect of subsequent analysis, and data integration uses data fusion technology to integrate the data from the sensor network and the SCADA system to form a unified data set.

[0029] The fault prediction and diagnosis unit adopts a deep learning model combined with an attention mechanism to perform time series prediction on the operating status of power grid equipment and detect potential faults in advance. The operation and maintenance strategy optimization unit applies a reinforcement learning algorithm to optimize the operation and maintenance strategy according to the real-time status and operation and maintenance cost of the power grid.

[0030] The 3D modeling and dynamic simulation unit uses 3D modeling software and power grid simulation software, combined with the actual layout of the power grid and equipment parameters, to build a 3D digital twin model of the power grid, accurately replicating the structure of the physical power grid. Subsequently, based on the physical engine and data-driven model, the operating status of the power grid is dynamically simulated in the 3D model, including power flow and equipment temperature changes. At the same time, combined with real-time rendering technology, real-time updating and display of the model is achieved, allowing operation and maintenance personnel to observe the power grid from any angle and even enter the substation to view details.

[0031] The AR / VR interface development unit includes an AR interface and a VR interface. The AR interface is developed using ARKit or ARCore technology, and the real-time status and warning information of power grid equipment can be intuitively viewed through mobile devices or AR glasses. The VR interface is developed based on the Unity or UnrealEngine engine to provide an immersive power grid operation and maintenance experience. At the same time, gesture recognition technology is combined to achieve natural interaction with the virtual environment.

[0032] The custom interface and report generation unit provides draggable and configurable interface elements, customizes the interface layout and data display method according to personal habits and needs, and automatically generates transparent operation and maintenance reports based on the results of the data processing and analysis layer using report generation tools, including power grid efficiency analysis, fault history review, and maintenance plan recommendations, which are presented in the form of charts, animations, etc., providing transparent decision-making basis for management.

[0033] The standardized API interface and cloud platform unit follow the RESTful principle, design a standardized API interface, and adopt the OAuth2 authentication mechanism to improve the security of the interface. The cloud platform is selected to build the cloud native environment of the system. The system is split into multiple independent services using the microservice architecture, and containerization technology is used to complete the rapid deployment and migration of services. Provide an open standard API interface to support docking with various types of power equipment, sensors, and third-party management systems (such as SCADA, ERP, etc.), ensure the circulation and sharing of data, and improve the compatibility and versatility of the system.

[0034] The remote access and collaboration unit provides a Web-based remote access interface, supports cross-regional and cross-platform operation and maintenance operations, adopts SSL / TLS encryption technology, integrates online collaboration tools, supports real-time communication and collaboration between operation and maintenance teams, and combines with version control systems to complete collaborative management and version tracking of codes and documents.

[0035] Specifically, the sensor network and SCADA system docking unit implements the process of sensor network deployment and data collection as follows: according to different equipment and monitoring requirements of the power grid, select suitable sensor types, such as current sensors, voltage sensors, and temperature sensors, configure the sampling frequency, accuracy and other parameters of the sensors, ensure that the collected data can meet the needs of subsequent analysis, deploy sensors at key nodes and key areas of the power grid to form a sensor network with comprehensive coverage and reasonable layout, connect sensors to the data collection center by wired or wireless means to ensure real-time data transmission, develop data collection software to realize real-time collection and preliminary processing of sensor data, and use standardized communication protocols and interfaces to transmit the collected data to the data processing and analysis layer; The process of establishing the connection and data integration between the sensor network and the SCADA system by the sensor network and SCADA system connection unit is to connect with the existing SCADA system of the power grid, obtain more power grid operation data and status information, design a standardized API interface, and ensure the safe, accurate and efficient transmission of data; integrate the data from the sensor network and the SCADA system to form a unified data set, clean the data, remove duplication, convert the format, etc., to ensure the consistency and availability of the data; The fault prediction and diagnosis unit constructs a fault prediction and diagnosis model, further comprising: selecting a deep learning model, such as a long short-term memory network (LSTM), a gated recurrent unit (GRU), etc., in combination with an attention mechanism, to perform time series prediction on the operating status of the power grid equipment, and selecting a suitable machine learning algorithm, such as a support vector machine (SVM), a random forest, etc., for fault classification and diagnosis; using historical fault data and normal operation data to train the model, and by adjusting model parameters, optimizing the network structure, etc., improving the prediction accuracy and generalization ability of the model, and using cross-validation, grid search, and other strategies to tune the model to ensure the stability and reliability of the model; inputting the real-time collected power grid equipment operation data into the model to perform fault prediction and diagnosis, and judging whether the equipment has a fault risk, as well as the type and degree of the fault according to the output results of the model; The operation and maintenance strategy optimization unit constructs an operation and maintenance strategy optimization model, further including defining the power grid operation and maintenance strategy optimization problem as a multi-objective optimization problem, considering multiple factors such as cost, efficiency, and safety, constructing an operation and maintenance strategy optimization model, such as a reinforcement learning model and a multi-objective optimization model, using a reinforcement learning algorithm to explore the strategy, simulating the power grid operation environment and operation and maintenance operations, finding the optimal operation and maintenance strategy, combining the multi-objective optimization algorithm, further optimizing the operation and maintenance strategy, ensuring that the operation and maintenance cost is reduced and the operation and maintenance efficiency is improved under the premise of meeting safety, applying the optimized operation and maintenance strategy to the actual power grid operation and maintenance, and monitoring the implementation effect of the strategy in real time, and dynamically adjusting and optimizing the strategy according to the feedback results to ensure the effectiveness and adaptability of the strategy; The three-dimensional modeling and dynamic simulation unit implements three-dimensional modeling and dynamic simulation, further comprising: using three-dimensional modeling software and power grid simulation software, combining the actual layout of the power grid and equipment parameters, constructing a three-dimensional digital twin model of the power grid, performing fine processing and optimization on the model to ensure the accuracy and fidelity of the model, dynamically simulating the operation status of the power grid in the three-dimensional model based on the physical engine and data-driven model, including power flow, equipment temperature changes, updating the model status in real time, and comparing and verifying with the actual power grid operation status to ensure the accuracy of the simulation; The visualization display of the AR / VR interface development unit specifically includes: designing an intuitive and easy-to-use user interface, using a clear layout and color matching to ensure that users can quickly understand and operate, the interface supports multiple resolutions and screen sizes, adapts to different usage scenarios and devices, and uses charts, graphs, dashboards and other visualization elements to display the real-time operation status of the power grid, fault prediction results, operation and maintenance strategies and other information, realizes dynamic update and real-time refresh of data, ensures that users can obtain the latest power grid operation information, combines three-dimensional modeling technology, embeds the three-dimensional digital twin model of the power grid into the visualization interface, realizes three-dimensional visualization of the power grid, and supports users to observe the layout and operation status of the power grid in all directions through rotation, zooming and translation operations; The user interaction design of the custom interface and the report generation unit further includes: providing multiple interaction modes, such as mouse click, drag, keyboard shortcuts, etc., to facilitate user operation and navigation, supporting touch screen devices, realizing more intuitive touch interaction, realizing interactive functions such as user query of power grid operation status, submission of fault reports, and modification of operation and maintenance strategies, providing a user feedback mechanism, allowing users to evaluate and make suggestions on the visualization interface and interactive functions, so as to continuously optimize and improve; The system integration and communication module implements the data integration and synchronization, further including: utilizing data integration technology, such as ETL (Extract, Transform, Load) tools, to integrate and consolidate data from different sources and in different formats, ensuring the consistency, accuracy and integrity of the data, providing a reliable data basis for system processing and analysis, designing a data synchronization mechanism, ensuring real-time update and synchronization of data between modules, and adopting mechanisms such as message queues and event-driven mechanisms to implement asynchronous update and push of data, thereby improving the response speed and efficiency of the system; The system integration and communication module implements system deployment and integration testing, further including, according to the scale and requirements of the system, selecting appropriate servers, storage devices and network environments for system deployment, adopting distributed deployment, load balancing and other strategies to improve the scalability and stability of the system, and conducting comprehensive integration testing on the system, including functional testing, performance testing, and security testing, to ensure that the coordination between the modules is normal and the overall function and performance of the system meet the design requirements; The AR / VR interface development unit further realizes real-time data superposition reality, and uses augmented reality (AR) technology to combine the actual physical layout of the power grid with real-time operation data (such as current, voltage, load conditions, fault warnings, etc.). Operation and maintenance personnel can wear AR glasses or use handheld devices to directly see the transparent state of the power grid. The integrated artificial intelligence algorithm analyzes the large amount of collected data, predicts potential fault points, and marks them with obvious signs (such as flashing, color change) in the three-dimensional model, while providing fault cause analysis and recommended solutions, making operation and maintenance work more proactive and efficient.

[0036] The beneficial effect of the present invention is that, compared with the prior art, the present invention provides a transparent and visual power grid operation and maintenance system, which has the following advantages: 1. Through the comprehensive deployment of sensor networks and real-time data collection by data acquisition software, a large amount of real-time data can be obtained during the operation of the power grid. The data cleaning algorithm can effectively remove noise and invalid information in the data, improve the accuracy and reliability of the data, and connect with the SCADA system to realize the integration of multi-source data and enrich the content and dimension of the data. Data integration processing ensures the consistency and availability of the data, providing a solid foundation for subsequent data analysis. The normalization and standardization processing in the data preprocessing step can eliminate the dimensional differences and uneven distribution problems between the data, improve the comparability of the data and the analysis effect of the subsequent machine learning model, and make the analysis results more accurate and reliable. Real-time and accurate data collection and preprocessing can timely discover anomalies and faults in the operation of the power grid, provide timely warning and diagnosis information for operation and maintenance personnel, and reduce the cost and time of fault handling.

[0037] 2. By applying deep learning models and machine learning algorithms, the failure risks of power grid equipment can be accurately predicted, and the accuracy and timeliness of fault prediction can be improved. The fault diagnosis model can quickly identify the type and degree of faults, provide timely fault handling suggestions for operation and maintenance personnel, and shorten the fault handling time. The operation and maintenance strategy optimization model can comprehensively consider multiple factors such as cost, efficiency, and safety to find the optimal operation and maintenance strategy. By optimizing the operation and maintenance strategy, the operation and maintenance cost can be reduced, the operation and maintenance efficiency can be improved, and the economic operation of the power grid can be achieved. The fault prediction and diagnosis model can timely discover the potential failure risks of power grid equipment and provide early warning information for operation and maintenance personnel to prevent the occurrence and expansion of faults. The operation and maintenance strategy optimization model can ensure that operation and maintenance operations are carried out under the premise of meeting safety requirements, thereby improving the safety of power grid operation. Three-dimensional modeling and dynamic simulation technology can provide operation and maintenance personnel with an intuitive and realistic display of the power grid operation status, enhance their understanding and mastery of power grid operation, and provide decision support for operation and maintenance personnel by simulating the power grid operation status under different operation and maintenance strategies, helping to formulate more scientific and reasonable operation and maintenance plans.

[0038] 3. Through intuitive visual display, users can quickly understand the operating status and fault conditions of the power grid, reducing the time for understanding and processing information. The user interaction function enables users to easily query, report and modify relevant information, improving decision-making efficiency and accuracy. The friendly user interface and interactive design enable users to easily get started and quickly become familiar with the operation of the system. The visual display can reflect the operating status and fault conditions of the power grid in real time, helping operation and maintenance personnel to discover and deal with problems in a timely manner. The user interaction function enables operation and maintenance personnel to easily submit fault reports and modify operation and maintenance strategies, improving operation and maintenance efficiency and response speed. The visual display and user interaction functions enable power grid operation and maintenance information to be shared and transmitted more conveniently between different departments and personnel, which helps to promote collaboration and communication between departments and improve the overall level and efficiency of power grid operation and maintenance.

[0039] Based on the spirit of the present invention, those skilled in the art can easily think that a computer program product can be obtained based on the aforementioned transparent visual power grid operation and maintenance system. The computer program product may include a computer-readable storage medium on which computer-readable program instructions for enabling a processor to implement various aspects of the present disclosure are loaded. That is, the present application also includes a terminal, including a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute according to the aforementioned transparent visual power grid operation and maintenance system.

[0040] Computer readable storage medium can be a tangible device that can keep and store the instructions used by the instruction execution device. Computer readable storage medium can be, for example, - but not limited to - electrical storage device, magnetic storage device, optical storage device, electromagnetic storage device, semiconductor storage device or any suitable combination of the above. More specific examples (non-exhaustive list) of computer readable storage medium include: portable computer disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device, such as punch card or groove protrusion structure with instructions stored thereon and any suitable combination of the above. Computer readable storage medium used here is not interpreted as instantaneous signal itself, such as radio wave or other free propagating electromagnetic wave, electromagnetic wave propagated by waveguide or other transmission medium (for example, light pulse by optical fiber cable) or electrical signal transmitted by wire.

[0041] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0042] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect through the Internet). In some embodiments, by using the state information of the computer-readable program instructions to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA) or a programmable logic array (PLA), the electronic circuit may execute the computer-readable program instructions, thereby implementing various aspects of the present disclosure.

[0043] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A transparent and visual power grid operation and maintenance system, characterized in that: It includes data acquisition and preprocessing module, data processing and analysis module, visualization and user interaction module and system integration and communication module. The data acquisition and preprocessing module consists of a sensor network and SCADA system docking unit and a data preprocessing unit, which is used to obtain power grid operation output from multiple dimensions; The input end of the data processing and analysis module is connected to the output end of the data acquisition and preprocessing module. The data processing and analysis module consists of a fault prediction and diagnosis unit, an operation and maintenance strategy optimization unit, and a three-dimensional modeling and dynamic simulation unit, and is used to construct a fault prediction and diagnosis model, an operation and maintenance strategy optimization model, and three-dimensional modeling and dynamic simulation; The input end of the visualization and user interaction module is connected to the output end of the data processing and analysis module. The visualization and user interaction module consists of an AR / VR interface development unit and a custom interface and report generation unit, and is used to display and effectively interact with the power grid operation status; The input end of the system integration and communication module is connected to the output end of the visualization and user interaction module. The system integration and communication module consists of a standardized API interface, a cloud platform unit, and a remote access and collaboration unit, and is used for docking and collaborative operation between system modules.

2. The transparent and visual power grid operation and maintenance system according to claim 1 is characterized by: The sensor network and SCADA system docking unit includes current sensors, voltage sensors and temperature sensors, and is deployed at key nodes of the power grid. Standardized communication protocols and API interfaces are used to achieve the docking of the sensor network and the SCADA system. The data preprocessing unit is used to achieve data cleaning and data integration. In data cleaning, a missing value filling algorithm and an outlier detection algorithm are applied to clean the original data. In data integration, data fusion technology is used to integrate the data from the sensor network and the SCADA system to form a unified data set.

3. The transparent and visual power grid operation and maintenance system according to claim 2 is characterized by: The fault prediction and diagnosis unit is used to use a deep learning model combined with an attention mechanism to perform time series prediction on the operating status of power grid equipment and detect potential faults in advance. The operation and maintenance strategy optimization unit is used to apply a reinforcement learning algorithm to optimize the operation and maintenance strategy according to the real-time status and operation and maintenance cost of the power grid.

4. The transparent and visual power grid operation and maintenance system according to claim 3 is characterized by: The three-dimensional modeling and dynamic simulation unit uses three-dimensional modeling software and power grid simulation software, combined with the actual layout and equipment parameters of the power grid, to build a three-dimensional digital twin model of the power grid. Based on the physical engine and data-driven model, the operating status of the power grid is dynamically simulated in the three-dimensional model, including power flow and equipment temperature changes. At the same time, combined with real-time rendering technology, real-time updating and display of the model can be achieved.

5. The transparent and visual power grid operation and maintenance system according to claim 4 is characterized by: The AR / VR interface development unit includes an AR interface and a VR interface. The AR interface is developed using ARKit or ARCore technology, and the real-time status and warning information of power grid equipment can be intuitively viewed through mobile devices or AR glasses. The VR interface is developed based on the Unity or Unreal Engine engine, and gesture recognition technology is combined to achieve natural interaction with the virtual environment.

6. The transparent and visual power grid operation and maintenance system according to claim 5 is characterized by: The custom interface and report generation unit provides draggable and configurable interface elements, customizes the interface layout and data display method according to personal habits and needs, and uses report generation tools to automatically generate transparent operation and maintenance reports based on the results of the data processing and analysis layer, including power grid efficiency analysis, fault history review, and maintenance plan recommendations.

7. The transparent and visual power grid operation and maintenance system according to claim 6, characterized in that: The standardized API interface and cloud platform unit follow the RESTful principle, design a standardized API interface, adopt the OAuth2 authentication mechanism, select the cloud platform to build the cloud native environment of the system, use the microservice architecture, split the system into multiple independent services, and use containerization technology to complete the deployment and migration of services.

8. The transparent and visual power grid operation and maintenance system according to claim 7 is characterized by: The remote access and collaboration unit provides a Web-based remote access interface, supports cross-regional and cross-platform operation and maintenance operations, adopts SSL / TLS encryption technology, integrates online collaboration tools, supports real-time communication and collaboration between operation and maintenance teams, and combines with version control systems to complete collaborative management and version tracking of codes and documents.

9. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the transparent visual power grid operation and maintenance system according to any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the transparent and visual power grid operation and maintenance system described in any one of claims 1 to 8 is implemented.

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