Electric energy dispatching integrated system and application method thereof

Abstract

The invention relates to an electric energy dispatching integrated system and an application method thereof, which are characterized in that on one hand, a metering data integration system, an experiment dispatching service, metering experiment verification business application, statistical analysis and auxiliary decision making are realized through data interaction between an integration platform and each system and between an electric energy metering experiment dispatching management platform and a six-line one-library; effective scheduling and comprehensive integration of a verification line and a three-dimensional warehouse in the metering center are realized; and on the other hand, a warehouse management function is realized, so that a good foundation is laid for fine management of metering equipment assets in a full life cycle. Integrated management is achieved through a unified platform, existing systems are opened, bridges among the existing systems are built, islands among the systems are eliminated, then integration, automation and intelligentization of production and operation are achieved, basic management is firm and effective, process control is visual and clear, and data source analysis is sufficient and effective; specialized operation is realized, and maximization of the overall efficiency of operation is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy metering management, and in particular to an electric energy dispatching integrated system and an application method and electronic equipment thereof. Background Art

[0002] With the gradual advancement of the construction of intelligent power grids, a large number of smart electricity meters and transformers need to be rotated, and a large number of concentrators and collectors need to be newly installed. The workload of electricity meter calibration is increasing, which puts higher requirements on the calibration production capacity of the measurement center.

[0003] In order to solve the contradiction between heavy workload and shortage of human resources, although the measurement center has built a relatively advanced automated logistics system, there are still a lot of manual operations in the unpacking, transportation, calibration, programming, sealing, packaging and other links, and it is difficult to meet the increasing demand for calibration, warehousing and distribution of electric energy meters. Therefore, it is required to adopt a higher degree of automation and information management methods to improve work efficiency and avoid problems caused by shortage of human resources.

[0004] However, with the development of science and technology and the improvement of management level, the metrology center will surely realize the large-scale promotion of automated information operation, the application of stereoscopic warehouses, automatic calibration lines, and AGV systems, and realize intelligence in some work processes, but the operation efficiency in the process is also restricted by the bottleneck of manual efficiency. On the other hand, the existing manual operation mode is also difficult to match with the high automation and informationization of the work site, and it is difficult to achieve comprehensive and efficient intelligent production, especially the lack of a unified dispatching and command balance to maximize the overall operation efficiency. Therefore, a management platform is needed to optimize the overall dispatching capability and improve the application efficiency of intelligent equipment.

[0005] In addition, the metrology center has built some functional systems that have become important auxiliary means of production, but the systems are relatively isolated and isolated from each other. There is a lack of comprehensive data transmission and process control integration, and there is a lack of a large experimental scheduling platform that can be centrally operated. At the same time, the interfaces between systems need to ensure the use of unified standards. At present, the standards of self-built systems in various places are not unified, and data interfaces are not easy to be consistent. Additional investment is required for integration and intercommunication, which easily leads to waste of manpower, financial and material resources. Therefore, the system construction needs to achieve unified data management, unified data model, and unified data standards through the metrology data center planned and constructed by this project, and use metrology data analysis to deeply explore the advanced model of data value to realize innovative applications of metrology business management.

[0006] Due to different management needs, the Metrology Center has used multiple sets of software and hardware systems. Whether the existing systems can be well integrated is the key to improving work efficiency. If integration cannot be achieved, isolated production islands will be formed, and the connection in the middle must be handled manually, which will greatly reduce the efficiency and management capabilities of production. At the same time, there are overlapping parts in the existing management system, which leads to duplication of work and loss of financial and material resources. Therefore, it is necessary to sort out the relationship between the various systems, build an integrated experimental scheduling management platform, comprehensively manage the production data of the Metrology Center, comprehensively integrate the existing systems, and reconstruct and transform some existing software when necessary to achieve the construction of an advanced management system with integrated and collaborative interaction between systems. Summary of the invention

[0007] In order to solve the above problems, the present invention proposes an electric energy dispatching integrated system and its application method and electronic equipment:

[0008] In one aspect, the present invention provides an electric energy dispatching integrated system, the system comprising:

[0009] The six-line one-bank system is used to execute specific electric energy metering experiment scheduling instructions;

[0010] Standard devices and laboratory equipment systems are used to provide the verification standards and verification systems required for electric energy measurement experiments;

[0011] Smart building system, used to realize the distributed deployment of electric energy dispatching integrated system in each smart building, and collect the electric energy metering experiment dispatching data of each deployment point to the electric energy metering experiment dispatching management platform;

[0012] Video monitoring system, used to monitor each deployment point and collect monitoring videos to the electric energy metering experiment scheduling management platform;

[0013] The electric energy metering experiment dispatching management platform is used for the logical control of each system; and to judge the task execution status of the six-line one-storage system; and to monitor and display the surveillance video of each deployment point;

[0014] The six-line-one-reservoir system, standard device and laboratory equipment system, smart building system and video monitoring system are respectively connected to the electric energy metering experiment scheduling management platform for communication;

[0015] The electric energy metering experiment scheduling management platform includes the following monitoring and scheduling function modules:

[0016] The experimental operation management module is used to provide the laboratory with procurement management, arrival and acceptance management, auxiliary management, verification experiment execution, warehousing management and distribution management services;

[0017] The metrology technology supervision and management module is used to provide online verification management of assembly line standards;

[0018] APP mobile application module, used to provide distribution business, turnover box recycling and auxiliary function services;

[0019] The experimental scheduling and monitoring module is used to provide operation control, operation monitoring, laboratory key monitoring, delivery tracking, experimental business subject analysis and assembly line detection system overall control and scheduling services;

[0020] Intelligent operation and maintenance management module, used to provide ledger management, inspection management, fault alarm management, production facility maintenance plan monitoring, key equipment health status evaluation, maintenance management, repair management, production facility status change management, automated inspection, fault linkage, fault diagnosis and early warning services;

[0021] System auxiliary module, used to provide statistical reports, indicator system management, announcement management, low-value vulnerable and consumables management, and business delivery services;

[0022] The full life cycle monitoring module is used to provide overall display of the full life cycle, full life cycle status monitoring, and full life cycle quality analysis services;

[0023] Large screen management module, used to provide metering center business monitoring, assembly line and storage three-dimensional monitoring, power metering key data monitoring, intelligent building monitoring, video monitoring integration services;

[0024] The system support module is used to provide message management, custom query, organization and permission management, version management, system parameter management, system operation monitoring, report parameter customization, and log management services.

[0025] As an optional embodiment of the present invention, optionally, the system further includes:

[0026] The marketing end is used to formulate corresponding electric energy metering experiment scheduling management tasks and send them to the electric energy metering experiment scheduling management platform.

[0027] As an optional implementation scheme of the present invention, optionally, the electric energy metering experiment scheduling management platform is also used for:

[0028] According to the electric energy metering experiment scheduling management task, the electric energy metering experiment scheduling instruction corresponding to the six-line one-storage system is generated, and issued to the corresponding six-line one-storage system;

[0029] At the same time, feedback is given to the marketing end.

[0030] As an optional embodiment of the present invention, optionally, the system further includes:

[0031] The data middle platform is used to pre-process the processing / business data of the electric energy metering experiment scheduling management platform;

[0032] The data center is communicatively connected to the electric energy metering experiment scheduling management platform.

[0033] As an optional embodiment of the present invention, optionally, the system further includes:

[0034] A unified portal system is used to provide formatted household identities for each user accessing the electric energy metering experiment scheduling management platform, and to perform unified identity management;

[0035] The unified portal system is communicatively connected with the electric energy metering experiment scheduling management platform.

[0036] As an optional implementation scheme of the present invention, optionally, the ledger management includes:

[0037] Data integration: Use API interfaces or data synchronization tools to integrate basic information about production facilities, key equipment, and inspection records into the intelligent operation and maintenance management platform;

[0038] Automatic data entry: Adopt intelligent recognition system to automatically enter equipment information by scanning QR codes and RFID tags to reduce manual errors;

[0039] Electronic management: Establish an electronic ledger system to support multi-dimensional query, export and report generation to ensure data accuracy and traceability;

[0040] The inspection management includes:

[0041] Automated inspection: Deploy drones, robots or smart sensors to conduct regular inspections and collect data on equipment operating status;

[0042] Intelligent Scheduling: Optimize inspection routes and frequencies based on AI algorithms to ensure that key equipment receives priority attention.

[0043] In another aspect, the present invention provides an application method of an electric energy dispatching integrated system, comprising the following steps:

[0044] The user logs in to the electric energy metering experiment scheduling management platform, and the unified portal system provides formatted household identities for each user accessing the electric energy metering experiment scheduling management platform to perform unified identity management;

[0045] The administrator formulates corresponding electric energy metering experiment scheduling management tasks through the marketing end, and sends them to the electric energy metering experiment scheduling management platform;

[0046] The electric energy metering experiment scheduling management platform generates an electric energy metering experiment scheduling instruction corresponding to the six-line one-storage system according to the electric energy metering experiment scheduling management task, and sends it to the corresponding six-line one-storage system;

[0047] The six-line-one-storage system executes specific electric energy metering experiment dispatching instructions, and the smart building system of each deployment point collects the electric energy metering experiment dispatching data generated by the six-line-one-storage system of each deployment point to the electric energy metering experiment dispatching management platform; at the same time, the video surveillance system of each deployment point collects the monitoring video to the electric energy metering experiment dispatching management platform;

[0048] The electric energy metering experiment scheduling management platform monitors the task execution status of each deployment point through monitoring video, and calls the calibration standards and calibration systems required for the electric energy metering experiment provided by the standard device and laboratory equipment system to monitor and schedule the task execution status of each deployment point.

[0049] In another aspect, the present invention further provides an electronic device, comprising:

[0050] processor;

[0051] a memory for storing processor-executable instructions;

[0052] Wherein, the processor is configured to implement the above-mentioned application method when executing the executable instructions.

[0053] Technical effects of the present invention:

[0054] The present invention integrates the platform with various systems. The electric energy metering experiment scheduling management platform is based on the data interaction with six lines and one warehouse. On the one hand, it realizes the metering data integration system, experiment scheduling service, metering experiment verification business application, statistical analysis and auxiliary decision-making, and realizes the effective scheduling and comprehensive integration of the internal verification line and three-dimensional warehouse of the metering center; on the other hand, it realizes the warehouse management function, thus laying a good foundation for the refined management of the entire life cycle of metering equipment assets.

[0055] Integrated management can be achieved through a unified platform, existing systems can be connected, bridges can be built between existing systems, and islands between systems can be eliminated, thereby achieving integration, automation, and intelligence of production operations, making basic management solid and effective, process control intuitive and clear, and analysis data sources sufficient and effective. Through a professional platform, professional operations can be achieved, promoting maximization of overall operational efficiency.

[0056] It meets the requirements of implementing the specialized management of measurement from the measurement center to the power supply business office, carries out centralized verification and unified distribution, reduces intermediate links, simplifies business levels, and is conducive to implementing specialized management requirements and improving management efficiency. The implementation of intensive management of measurement assets can realize the sharing of measurement resources across the entire range and improve the utilization efficiency of verification and inventory resources. It improves the overall efficiency and benefits of measurement management, and builds and optimizes the organizational structure, business processes and system support capabilities that are compatible with the development trend of strong smart grids.

[0057] Further features and aspects of the present invention will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the invention and, together with the description, serve to explain the principles of the invention.

[0059] Figure 1 It is shown as a schematic diagram of the application system composition of the present invention;

[0060] Figure 2 The schematic diagram of the composition of the application control terminal of the present invention is shown as follows

[0061] Figure 3 It is a functional architecture diagram of the electric energy metering experiment scheduling management platform of the present invention;

[0062] Figure 4 It is a schematic diagram showing the application composition of the electronic device of the present invention. DETAILED DESCRIPTION

[0063] Various exemplary embodiments, features and aspects of the present invention will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0064] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0065] In addition, in order to better illustrate the present invention, numerous specific details are provided in the following specific embodiments. It should be understood by those skilled in the art that the present invention can also be implemented without certain specific details. In some examples, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present invention.

[0066] In this system, each system connected to the platform is integrated by the server of the corresponding department system, and the server of each department communicates with the platform to realize integrated management of power dispatching work.

[0067] Example 1

[0068] like Figure 1 As shown, an electric energy dispatching integrated system, the system comprising:

[0069] The six-line one-bank system is used to execute specific electric energy metering experiment scheduling instructions;

[0070] Standard devices and laboratory equipment systems are used to provide the verification standards and verification systems required for electric energy measurement experiments;

[0071] Smart building system, used to realize the distributed deployment of electric energy dispatching integrated system in each smart building, and collect the electric energy metering experiment dispatching data of each deployment point to the electric energy metering experiment dispatching management platform;

[0072] Video monitoring system, used to monitor each deployment point and collect monitoring videos to the electric energy metering experiment scheduling management platform;

[0073] The electric energy metering experiment dispatching management platform is used for the logical control of each system; and to judge the task execution status of the six-line one-storage system; and to monitor and display the surveillance video of each deployment point;

[0074] The six-line-one-reservoir system, standard device and laboratory equipment system, smart building system and video monitoring system are respectively communicatively connected to the electric energy metering experiment scheduling management platform.

[0075] At each deployment point (such as the office where each smart building is located), the six-line and one-database system and the video surveillance system are uniformly deployed, and the server of the smart building is connected to each terminal of the six-line and one-database system and the industrial computer of the video surveillance system. The smart building acts as an intermediate server to realize the control and data collection of the six-line and one-database system and the video surveillance system, and reports the collected working data of the six-line and one-database system and the video surveillance system (calibration data and monitoring video of task execution) to the electric energy metering experiment scheduling management platform.

[0076] The electric energy metering experiment scheduling management platform will combine the calibration standards and calibration systems provided by the standard devices and laboratory equipment systems to judge the reported calibration data and the monitoring video of the task execution status, and judge the task execution status of the six-line one-warehouse system. For example, the task calibration standards for the six-line one-warehouse system can be pre-deployed in the calibration system, and the electric energy metering experiment scheduling management platform will schedule the calibration system to make task judgments on the execution of the six-line one-warehouse system. For the calibration data and task execution results that meet or do not meet the task calibration standards, the electric energy metering experiment scheduling management platform will send the corresponding task scheduling notification to the server of the smart building, and then the server of the smart building will route and forward it to the six-line one-warehouse system (specifically, it can be converted to the corresponding department, such as the vertical warehouse system. If the platform determines that there is a problem with the storage of the calibration equipment in the vertical warehouse, the platform will issue a scheduling instruction for the storage).

[0077] Administrators can use the marketing terminal (a mobile smart terminal on site, configured by a marketing APP, which can communicate with the platform to achieve on-site scheduling and monitoring).

[0078] The electric energy metering experiment dispatching management platform system of this solution is deployed at the first level of the metering center. It realizes integration with the marketing system, data middle platform, six-line and one-database system, standard device and laboratory equipment system, intelligent building system, and video surveillance system through application integration, data integration, and interface integration.

[0079] The smart building system is mainly used to deploy this system at various deployment points. The electric energy metering experiment is realized through the smart building systems deployed in various places. The smart building system can report the verification experiment data of each deployment point to the platform (the electric energy metering experiment scheduling data obtained by the experimental verification of each electric energy meter and other equipment).

[0080] The platform verifies and authenticates the reported data based on the verification standards, and dispatches and manages the six lines and one warehouse to achieve effective dispatch and comprehensive integration of the internal verification lines and three-dimensional warehouses of the metering center. For example, for the qualified electric energy meter equipment, the platform notifies the six lines and one warehouse to put the qualified electric energy meter equipment into the warehouse.

[0081] This can be accomplished through the coordination between the automated assembly line and the warehouse.

[0082] In this embodiment, automated transmission is performed between each assembly line and the warehouse (generally chain transmission, with each industrial computer responding to the dispatching instructions issued by the platform and cooperating to complete the transmission of qualified equipment into the warehouse).

[0083] The platform mainly relies on standard devices and laboratory equipment systems to provide the calibration standards and calibration systems required for electric energy metering experiments, and conducts online experimental calibration management for equipment such as electric energy meters.

[0084] The electric energy metering experiment dispatching management platform is based on data interaction with six lines and one warehouse. On the one hand, it realizes the metering data integration system, experiment dispatching service, metering experiment calibration business application, statistical analysis and decision support, and realizes effective dispatch and comprehensive integration of the internal calibration lines and three-dimensional warehouses of the metering center; on the other hand, it realizes the second, third and fourth level warehouse management functions, thus laying a good foundation for the refined management of the entire life cycle of metering equipment assets.

[0085] Marketing platform (marketing end, using the Marketing 2.0 system), "six lines and one warehouse" system (six verification lines and one warehouse, mainly used for production verification and warehouse storage of electric energy meters, etc.), safety environment system, video system, etc. The ports required for each docking data are determined according to the user's production system.

[0086] Electric energy metering experiment dispatch management platform (please refer to the attached Figure 3The functional architecture shown is used to judge the system and perform scheduling management to keep the system in a preset operating state) Based on the data interaction with six lines and one warehouse, on the one hand, it realizes the metrology data integration system, experiment scheduling service, metrology experiment calibration business application, statistical analysis and auxiliary decision-making, and realizes the effective scheduling and comprehensive integration of the internal calibration lines and three-dimensional warehouses of the metrology center; on the other hand, it realizes the second, third and fourth level warehouse management functions, thus laying a good foundation for the refined management of the entire life cycle of metrology equipment assets.

[0087] The functional modules of each architecture layer will be deployed on the corresponding servers for operation when implemented, such as:

[0088] The metering data platform and the electric energy metering experiment dispatching management platform are both centrally deployed in the metering center computer room. The electric energy metering experiment dispatching management platform is installed with database servers, application servers, interface servers, monitoring servers, switches, load balancing and other equipment, and the metering data platform is installed with data servers, aggregation switches and other equipment. The two platforms are responsible for data storage, business function applications, etc. of the metering center. System security must follow the overall information security strategy, and the security protection strength must meet the intranet security protection standards to avoid the spread of security risks.

[0089] like Figure 2 As shown, this system also includes other electric energy metering experimental scheduling systems.

[0090] As an optional embodiment of the present invention, optionally, the system further includes:

[0091] The marketing end is used to formulate corresponding electric energy metering experiment scheduling management tasks and send them to the electric energy metering experiment scheduling management platform.

[0092] As an optional implementation scheme of the present invention, optionally, the electric energy metering experiment scheduling management platform is also used for:

[0093] According to the electric energy metering experiment scheduling management task, the electric energy metering experiment scheduling instruction corresponding to the six-line one-storage system is generated, and issued to the corresponding six-line one-storage system;

[0094] At the same time, feedback is given to the marketing end.

[0095] Under normal circumstances, the platform works in coordination with the line warehouse system and the Marketing 2.0 system. The Marketing 2.0 system formulates corresponding planned tasks such as arrival, calibration, and distribution, and sends them to the metrology experiment scheduling management platform. The platform coordinates the line warehouse system to complete related processes such as new purchases, production calibration, and distribution based on the received tasks, and returns to the Marketing 2.0 system to complete the business closed-loop working mode.

[0096] If the Marketing 2.0 system is abnormal or the interface communication is abnormal, the platform can temporarily cache the real-time interactive information with the Marketing 2.0 system to ensure the normal operation of the center's production work. The platform and the Marketing 2.0 system interface call abnormal data are stored in the abnormal interface cache queue. After the Marketing 2.0 system interface returns to normal, the cached data is synchronously pushed to the Marketing 2.0 system according to the rules to ensure that the business data generated by the platform in the disaster recovery mode is consistent with the Marketing 2.0 system data.

[0097] If the platform can realize the coordinated operation with the line warehouse system without generating marketing process business data, it can support the work mode of six lines, one warehouse and one platform system maintenance. After the maintenance is completed, the platform pushes the box table binding relationship update data of the in-and-out equipment to the marketing 2.0 system.

[0098] As an optional embodiment of the present invention, optionally, the system further includes:

[0099] The data middle platform is used to pre-process the processing / business data of the electric energy metering experiment scheduling management platform;

[0100] The data center is communicatively connected to the electric energy metering experiment scheduling management platform.

[0101] The data middle platform is a concept that mainly refers to the accumulation of existing or newly built information system business and data. It is an intermediate and supporting platform for realizing data empowerment of new businesses and new applications.

[0102] The main functions of the data center include:

[0103] 1. Data integration: Integrate the data of various business systems and data sources within the enterprise to achieve data sharing and unified management, avoid data silos and duplicate collection, and improve data accuracy and completeness.

[0104] 2. Data processing: Clean, convert, calculate, analyze and process data to make it more standardized, refined and visualized, thereby improving the value and application effect of the data.

[0105] 3. Data storage: Provide reliable data storage and management capabilities to ensure data security, reliability and availability. It can also provide data backup and recovery functions to ensure data persistence and traceability.

[0106] 4. Data application: Provide data support for the business and decision-making of enterprises, including data analysis, data mining, data visualization and other applications, to help enterprises achieve data-driven decision-making and business optimization.

[0107] 5. Data openness: Provide interfaces and services for data openness and sharing, enable data access and interaction capabilities for users inside and outside the enterprise, promote data circulation and sharing, and enhance the innovation and competitiveness of enterprises.

[0108] In addition, the application of data middle platform varies according to different industries and fields. For example, the financial data middle platform can be used to integrate internal and external data to support risk assessment, customer analysis, asset allocation and other businesses; the health care data middle platform can be used to integrate patient medical data, medical imaging data, etc., to support disease diagnosis, drug development and other work; the logistics data middle platform can be used to integrate data from transportation, warehousing, distribution and other links to improve logistics efficiency and service quality; the manufacturing data middle platform can be used to integrate production line, equipment, supply chain and other data to improve production efficiency and product quality; the urban governance data middle platform can be used to integrate public safety, transportation, environment and other data to improve urban management and public service levels.

[0109] In short, the data middle platform is an important concept that can help enterprises and institutions realize the value mining and application of data and improve the competitiveness and innovation capabilities of enterprises.

[0110] The data center of this solution mainly pre-processes the processing / business data received by the electric energy metering experiment dispatching management platform from various systems. The pre-processing method refers to the various methods of the above-mentioned data center.

[0111] As an optional embodiment of the present invention, optionally, the system further includes:

[0112] A unified portal system is used to provide formatted household identities for each user accessing the electric energy metering experiment scheduling management platform, and to perform unified identity management;

[0113] The unified portal system is communicatively connected with the electric energy metering experiment scheduling management platform.

[0114] The platform uses a unified portal system (user management system) to manage the identities of each user interacting with the platform. It uses a unified login identity format (such as a management form) to log in and manage the identity information of each user logging into the platform. At the same time, data exchange is carried out according to each user's communication IP, thereby unifying the portal and strengthening the connection between the platform and various systems.

[0115] like Figure 3 As shown, as an optional implementation scheme of the present invention, optionally, the electric energy metering experiment scheduling management platform includes the following monitoring and scheduling function modules:

[0116] The experimental operation management module is used to provide the laboratory with procurement management, arrival and acceptance management, auxiliary management, verification experiment execution, warehousing management and distribution management services;

[0117] The metrology technology supervision and management module is used to provide online verification management of assembly line standards;

[0118] APP mobile application module, used to provide distribution business, turnover box recycling and auxiliary function services;

[0119] The experimental scheduling and monitoring module is used to provide operation control, operation monitoring, laboratory key monitoring, delivery tracking, experimental business subject analysis and assembly line detection system overall control and scheduling services;

[0120] Intelligent operation and maintenance management module, which is used to provide ledger management, inspection management, fault alarm management, production facility maintenance plan monitoring, key equipment health status evaluation, maintenance management, repair management, production facility status change management, automated inspection, fault linkage, fault diagnosis and early warning services;

[0121] System auxiliary module, used to provide statistical reports, indicator system management, announcement management, low-value vulnerable and consumables management, and business delivery services;

[0122] The full life cycle monitoring module is used to provide overall display of the full life cycle, full life cycle status monitoring, and full life cycle quality analysis services;

[0123] Large screen management module, used to provide metering center business monitoring, assembly line and storage three-dimensional monitoring, power metering key data monitoring, intelligent building monitoring, video monitoring integration services;

[0124] The system support module is used to provide message management, custom query, organization and permission management, version management, system parameter management, system operation monitoring, report parameter customization, and log management services.

[0125] The design of the platform's functional architecture follows the design concept of "business-driven, application-oriented, inherited development, and continuous improvement". Through a comprehensive review of business work and content such as planning, arrival, experimentation, warehousing, calibration, distribution, issuance, and dismantling and disposal, a functional architecture for managing business is formed.

[0126] In this embodiment, the specific intelligent operation and maintenance management content includes:

[0127] AI operation and maintenance management dimensions include ledger management, inspection management, fault alarm management, production facility maintenance plan monitoring, key equipment health status evaluation, maintenance management, inspection management, production facility status change management, automated inspection, fault linkage, fault diagnosis and early warning.

[0128] 1. Ledger management

[0129] Data integration: Use API interfaces or data synchronization tools to integrate basic information such as production facilities, key equipment, and inspection records into the intelligent operation and maintenance management platform.

[0130] Automated data entry: Develop an intelligent recognition system to automatically enter device information by scanning QR codes, RFID tags, etc., to reduce human errors.

[0131] Electronic management: Establish an electronic ledger system to support multi-dimensional query, export and report generation to ensure the accuracy and traceability of data.

[0132] 2. Inspection management

[0133] Automated inspection: Deploy drones, robots, or smart sensors to conduct regular inspections and collect data on equipment operating status.

[0134] Intelligent Scheduling: Optimize inspection routes and frequencies based on AI algorithms to ensure that key equipment receives priority attention.

[0135] Traditional inspection routes are mainly constructed by administrators based on the information reported by on-site inspection equipment. It is impossible to optimize the inspection routes in combination with surrounding inspection images, which often leads to inspection blind spots and blocked routes.

[0136] The present invention optimizes the inspection route and frequency based on the AI ​​algorithm, with particular emphasis on the AI ​​data optimization processing algorithm for the inspection route:

[0137] The technical architecture is as follows:

[0138] 1) Data acquisition system:

[0139] Deploy sensors, cameras and other equipment in the inspection area to collect status data of roads, equipment or facilities in real time.

[0140] The data includes but is not limited to road cracks, potholes, traffic flow, equipment operating status, etc.

[0141] 2) AI data processing and analysis platform:

[0142] Image and pattern recognition: Use deep learning algorithms to analyze images and videos captured by cameras to identify problems such as road damage and damaged traffic signs.

[0143] Data cleaning and preprocessing: Clean the collected raw data to remove noise and outliers and improve data quality.

[0144] Feature extraction: Extract key features from the cleaned data for subsequent analysis and prediction.

[0145] Inspection route optimization algorithm:

[0146] Path planning algorithm: Based on historical inspection data and real-time road conditions, Dijkstra, A* and other algorithms are used to calculate the optimal inspection path.

[0147] AI dynamic adjustment mechanism: Combined with the results of the AI ​​prediction model, the inspection route and frequency are dynamically adjusted. For example, the inspection frequency is increased for areas where problems are predicted, and the inspection frequency is reduced for normal areas.

[0148] Predictive Maintenance Model:

[0149] Data modeling and training: Use machine learning or deep learning algorithms (such as RNN training generation models) to analyze historical inspection data and establish equipment failure prediction models.

[0150] Predictive analysis: The model is used to predict possible equipment failures or road problems in the future, providing a scientific basis for inspection plans.

[0151] Intelligent inspection execution system:

[0152] Intelligent inspection vehicles / robots: equipped with high-definition cameras, sensors and other equipment to achieve autonomous inspections.

[0153] Real-time feedback and decision-making: During the inspection process, the AI ​​system (dynamically calls the equipment fault prediction model to execute the corresponding inspection prediction) analyzes the inspection data in real time, immediately provides feedback when problems are found, and automatically generates processing suggestions.

[0154] 3) AI data optimization processing algorithm

[0155] Image recognition algorithms:

[0156] Algorithms such as convolutional neural networks (CNN) are used to recognize inspection images to quickly and accurately detect problems such as road damage and traffic sign damage.

[0157] Use technologies such as transfer learning to improve the adaptability and accuracy of the algorithm in different inspection scenarios.

[0158] Time Series Analysis Algorithms:

[0159] Process time series data, such as traffic flow data, and use algorithms such as ARIMA and LSTM to predict future traffic conditions, providing a basis for optimizing inspection routes.

[0160] Clustering and association rule mining:

[0161] Cluster analysis is performed on inspection data to identify common characteristics of equipment failures or road problems.

[0162] By using association rule mining algorithms, potential associations between equipment failures and inspection data are discovered, providing clues for predictive maintenance.

[0163] 4) Reinforcement Learning Algorithm:

[0164] In a dynamic inspection environment, the reinforcement learning algorithm is introduced to enable the inspection system to automatically adjust the inspection strategy based on real-time feedback and optimize the inspection route and frequency.

[0165] Implementation steps:

[0166] Data collection and preprocessing;

[0167] AI model training and optimization;

[0168] Development of inspection route and frequency optimization algorithm;

[0169] Intelligent inspection execution system integration and testing;

[0170] System deployment and operation maintenance.

[0171] On the one hand, AI algorithms are used to optimize inspection routes and frequencies, improve inspection efficiency, reduce resource waste, and ensure the comprehensiveness and timeliness of inspections. The solution combines sensor data collection, image recognition, data analysis and prediction technologies to achieve intelligent management of inspection work.

[0172] On the other hand, optimize inspection reports: automatically generate inspection reports, including inspection time, location, problems found and recommended measures, and support online approval and tracking.

[0173] Based on the description of the above intelligent operation and maintenance management system, the embodiment of the present invention further proposes the following key mathematical models and their character meanings, and explains the relationship and working mechanism between the key mathematical models.

[0174] 1. Data collection and preprocessing model

[0175] Data Integration Model:

[0176] D = {d1, d2, ..., dn}: represents the set of all collected equipment and inspection data.

[0177] API: Application Programming Interface for data integration.

[0178] Data cleaning model:

[0179] C(D): represents the cleaned data set, removing noise and outliers.

[0180] 2. Image recognition and pattern recognition models

[0181] Convolutional Neural Network (CNN) Model:

[0182] I={i1,i2,…,i m}: represents the input image dataset.

[0183] f(I)→O: represents the output after CNN processing, O is the identified feature or problem (such as road damage).

[0184] Feature extraction model:

[0185] F(I)={f1,f2,...,f k}: Represents the set of features extracted from the image.

[0186] 3. Inspection route optimization model

[0187] Path planning algorithm:

[0188] P = {p1, p2, ..., p j}: represents a collection of inspection paths.

[0189] Cost(p i ): indicates path p i cost (time, distance, etc.).

[0190] Optimization goal: Minimize total cost:

[0191] Dynamic adjustment mechanism:

[0192] A(t): represents the inspection adjustment strategy at time t.

[0193] 4. Predictive maintenance model

[0194] Failure prediction model:

[0195] M(X)→Y: indicates that the input feature X (such as historical data) predicts the output Y (equipment failure probability).

[0196] Time Series Analysis Model:

[0197] T={t1,t2,...,t k}: Represents time series data (such as traffic flow).

[0198] 5. Reinforcement Learning Algorithm Model

[0199] Reward function:

[0200] R(s, a): represents the reward obtained by taking action a in state s.

[0201] Value function:

[0202] V(s): represents the expected return in state s.

[0203] The working mechanism of the above mathematical models is as follows:

[0204] The data acquisition and preprocessing model is the basis of the entire system and ensures the quality of input data.

[0205] Image recognition and pattern recognition models rely on the results of data collection, analyzing images through deep learning models to identify potential problems.

[0206] The inspection route optimization model uses the output of image recognition and real-time data, applies a path planning algorithm to calculate the optimal inspection route, and optimizes the inspection frequency in real time through a dynamic adjustment mechanism.

[0207] The predictive maintenance model predicts equipment failures based on historical data and real-time data, providing a scientific basis for inspection plans and thus improving the targeted nature of inspections.

[0208] The reinforcement learning algorithm model continuously learns and adjusts the inspection strategy during the inspection process to optimize resource allocation and inspection efficiency.

[0209] The embodiment of the present invention provides the following technical effects by using the above key mathematical model:

[0210] Improve inspection efficiency: Optimize inspection routes and frequencies through AI algorithms, reduce unnecessary inspections, ensure that key equipment receives priority attention, and reduce resource waste.

[0211] Enhance data accuracy: Electronic management and automated data entry reduce manual intervention, lower error rates, and improve data accuracy and traceability.

[0212] Real-time feedback and decision-making: The intelligent inspection execution system can analyze inspection data in real time, quickly identify problems and generate treatment suggestions, thereby improving response speed.

[0213] Predictive maintenance: By establishing a fault prediction model, potential problems can be warned in advance, reducing the risk of equipment failure and extending the service life of equipment.

[0214] Comprehensiveness and timeliness: Combining sensor data and image recognition technology to achieve comprehensive inspection coverage and ensure timely detection and resolution of problems.

[0215] In summary, through the synergistic effect of the above-mentioned mathematical model and working mechanism, the intelligent operation and maintenance management system in the embodiment of the present invention can significantly improve the intelligence level of inspection, optimize resource allocation, and enhance the scientificity and effectiveness of equipment management.

[0216] 3. Fault alarm management

[0217] Real-time monitoring: Use IoT technology to monitor the operating status of equipment in real time, and trigger an alarm immediately if an abnormality is found.

[0218] Intelligent classification: Intelligent classification is performed according to the severity of the fault, and high-priority faults are handled first.

[0219] Fault linkage: Linked with the emergency response system, it automatically notifies relevant personnel and initiates the emergency plan.

[0220] 4. Monitoring of production facility maintenance plans

[0221] Preventive maintenance: Based on the equipment failure prediction model, formulate preventive maintenance plans to reduce unplanned downtime.

[0222] Progress monitoring: Real-time monitoring of the execution of the maintenance plan, including maintenance progress, resource consumption, etc.

[0223] Effect evaluation: After the maintenance is completed, the maintenance effect is automatically evaluated and feedback is collected to optimize subsequent plans.

[0224] 5. Health status evaluation of key equipment

[0225] Multi-source data collection: Integrate data from different sensors and systems to comprehensively assess the health status of equipment.

[0226] Health index model: Establish a health index model to comprehensively evaluate factors such as equipment performance, lifespan, and maintenance records.

[0227] Visual display: The health status of the equipment is intuitively displayed through dashboards, heat maps, etc., making it easy to quickly locate problems.

[0228] 6. Maintenance management

[0229] Work order system: Establish an electronic work order system to support automatic dispatching, progress tracking and completion confirmation.

[0230] Knowledge base: Establish a maintenance knowledge base to record common faults and solutions to improve maintenance efficiency.

[0231] Skill training: Combine virtual reality (VR) and augmented reality (AR) technologies to provide skills training for maintenance personnel.

[0232] 7. Maintenance management

[0233] Standardized process: Develop standardized maintenance process to ensure that maintenance work is standardized and efficient.

[0234] Material management: Establish a material management system to ensure that the materials required for maintenance are in place in a timely manner.

[0235] Quality Control: Implement strict quality control measures to ensure that the maintenance quality meets the standards.

[0236] 8.Management of production facility status changes

[0237] Status monitoring: Real-time monitoring of changes in the status of production facilities, including start and stop, load changes, etc.

[0238] Change approval: Approval management of changes in production facility status to ensure that the changes are reasonable and compliant.

[0239] Historical records: Record the status change history of production facilities to facilitate subsequent analysis and traceability.

[0240] 9. Fault linkage

[0241] Cross-system linkage: Link with ERP, MES and other systems to achieve rapid transmission and processing of fault information.

[0242] External resource coordination: Coordinate external experts or service providers to participate in troubleshooting when necessary.

[0243] 10. Fault diagnosis and early warning

[0244] Intelligent diagnosis: Use machine learning algorithms to intelligently analyze fault data and quickly locate the cause of the fault.

[0245] Early warning: Provide early warning of potential failures based on prediction models and take measures in advance to avoid failures.

[0246] Continuous optimization: Continuously collect new fault data and optimize the diagnosis model to improve diagnostic accuracy and early warning capabilities.

[0247] By implementing the above methods, a comprehensive and intelligent operation and maintenance management system can be built to improve the operating efficiency, reliability and safety of production facilities. At the same time, with the continuous development and progress of technology, new technologies and tools can be continuously introduced to optimize and improve the operation and maintenance management system.

[0248] The functional business of this platform is based on a data platform with functions such as metering data collection, data integration, data cleaning, and data quality. It takes experimental scheduling, logistics distribution, asset management, and cost management as the core, and planning, arrival, experiment, warehousing, calibration, distribution, issuance, and dismantling and disposal as the main business applications. The integrated warehousing of all second, third, and fourth-level warehouses is the extended management and control of metering assets. In addition, comprehensive statistics, summary, and analysis of data to assist decision-making, as well as visual display dashboards, form a professional metering management system with power grid characteristics and covering all metering businesses.

[0249] The electric energy metering experiment dispatching management platform is based on mainstream big data underlying technology, realizes an open data management architecture, provides multi-source heterogeneous data acquisition modules, real-time data management framework, easy-to-use data application environment and multi-source data interface big data platform, provides big data management, development and computing capabilities, and supports the data analysis value of the core business in the metering experiment dispatching of the metering center.

[0250] The platform system software adopts the J2EE multi-layer technology architecture that combines technological advancement and maturity to improve the system's flexibility, scalability, security and concurrent processing capabilities, while realizing data interaction with other business applications such as marketing business applications through a unified data interface.

[0251] The platform business functions use component technology to separate interface control, business logic and data processing, and realize loose coupling within the system, so as to flexibly and quickly respond to the needs of business changes on the system. Technically, it is divided into the IoT perception layer, data collection layer, data storage layer, data service layer, technical support layer, business application layer, interface display layer, etc.

[0252] The technical design of the electric energy metering experiment scheduling management platform is based on the component development concept and consists of a series of independently deployed components. It should try to meet the requirement that each component can run multiple component instances at the same time to ensure the high reliability and scalability of the system. At the same time, it should comprehensively consider factors such as system performance and scalability, while taking into account the system's requirements in deployment, maintenance and management.

[0253] Please understand the connection and interaction between the platform and various systems in conjunction with the functions of the above-mentioned systems.

[0254] Obviously, those skilled in the art should understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive, abbreviated as: HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0255] The modules or steps of the present invention described above can be implemented by a general-purpose computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0256] Example 2

[0257] Based on the implementation of Example 1, on the other hand, the present invention provides an application method of an electric energy dispatching integration system, comprising the following steps:

[0258] The user logs in to the electric energy metering experiment scheduling management platform, and the unified portal system provides formatted household identities for each user accessing the electric energy metering experiment scheduling management platform to perform unified identity management;

[0259] The administrator formulates corresponding electric energy metering experiment scheduling management tasks through the marketing end, and sends them to the electric energy metering experiment scheduling management platform;

[0260] The electric energy metering experiment scheduling management platform generates an electric energy metering experiment scheduling instruction corresponding to the six-line one-storage system according to the electric energy metering experiment scheduling management task, and sends it to the corresponding six-line one-storage system;

[0261] The six-line-one-storage system executes specific electric energy metering experiment dispatching instructions, and the smart building system of each deployment point collects the electric energy metering experiment dispatching data generated by the six-line-one-storage system of each deployment point to the electric energy metering experiment dispatching management platform; at the same time, the video surveillance system of each deployment point collects the monitoring video to the electric energy metering experiment dispatching management platform;

[0262] The electric energy metering experiment scheduling management platform monitors the task execution status of each deployment point through monitoring video, and calls the calibration standards and calibration systems required for the electric energy metering experiment provided by the standard device and laboratory equipment system to monitor and schedule the task execution status of each deployment point.

[0263] The unified portal system, that is, the user identity management module, can perform identity management for each user accessing the platform (the identity of each calibration line terminal and the library terminal), making it easier for the platform to connect to each department according to identity, so as to perform corresponding scheduling management according to the identity ID.

[0264] Administrators can conduct on-site command and dispatch through the on-site APP, and log in to the platform to view the operation status of the smart buildings at various deployment points, that is, to transfer and collect and view the monitoring video and working condition data of the six-line and one-warehouse system (the calibration data of each calibration line and the vertical warehouse) through the platform, and issue corresponding dispatch instructions to the platform. For specific dispatch functions, please refer to Figure 3 The functional architecture of the platform is shown.

[0265] The electric energy metering experiment scheduling management platform responds to and executes the tasks issued by the administrator, generates corresponding electric energy metering experiment scheduling instructions, and sends them to the corresponding work departments (specifically, each calibration line terminal in the six-line and one-warehouse system, or the vertical warehouse system terminal). It can also issue scheduling instructions to the video surveillance system, and control the video surveillance system to view the task execution status of each point. For example, it can remotely operate the camera at a certain point in the video surveillance system, conduct online inspection of the calibration work on the calibration line, etc.

[0266] The electric energy metering experiment scheduling management platform will perform scheduling management according to the pre-set procedures, so that the six-line one-storage system and the video surveillance system can work in an orderly manner. Specifically, the server of the smart building can forward messages in the middle, and the smart building routing forwarding platform can interact with the scheduling management instructions and data between the six-line one-storage system and the video surveillance system, so that the smart building can unify the scheduling tasks and work of the electric energy metering experiment at each deployment point to avoid scheduling management chaos.

[0267] Example 3

[0268] like Figure 4 As shown, on the other hand, the present invention also provides an electronic device, including:

[0269] processor;

[0270] a memory for storing processor-executable instructions;

[0271] Wherein, the processor is configured to implement the application method described in the above-mentioned embodiment 2 when executing the executable instructions.

[0272] The electronic device of the present invention comprises a processor and a memory for storing instructions executable by the processor, wherein the processor is configured to implement the application method described in the above embodiment 2 when executing the executable instructions.

[0273] Here, it should be noted that the number of processors may be one or more. At the same time, the electronic device in the embodiment of the present invention may also include an input system and an output system. The processor, memory, input system, and output system may be connected via a bus or in other ways, which are not specifically limited here.

[0274] As a computer-readable storage medium, the memory can be used to store software programs, computer executable programs and various modules, such as the program or module corresponding to the application method described in Example 2 of the embodiment of the present invention. The processor executes various functional applications and data processing of the electronic device by running the software programs or modules stored in the memory.

[0275] The input system can be used to receive input numbers or signals. The signal can be a key signal related to user settings and function control of the device / terminal / server. The output system can include display devices such as display screens.

[0276] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. An electric energy dispatching integrated system, characterized in that: The system comprises: The six-line one-bank system is used to execute specific electric energy metering experiment scheduling instructions; Standard devices and laboratory equipment systems are used to provide the verification standards and verification systems required for electric energy measurement experiments; Smart building system, used to realize the distributed deployment of electric energy dispatching integrated system in each smart building, and collect the electric energy metering experiment dispatching data of each deployment point to the electric energy metering experiment dispatching management platform; Video monitoring system, used to monitor each deployment point and collect monitoring videos to the electric energy metering experiment scheduling management platform; The electric energy metering experiment dispatching management platform is used for the logical control of each system; and to judge the task execution status of the six-line one-storage system; and to monitor and display the surveillance video of each deployment point; The six-line-one-reservoir system, standard device and laboratory equipment system, smart building system and video monitoring system are respectively connected to the electric energy metering experiment scheduling management platform for communication; The electric energy metering experiment scheduling management platform includes the following monitoring and scheduling function modules: The experimental operation management module is used to provide the laboratory with procurement management, arrival and acceptance management, auxiliary management, verification experiment execution, warehousing management and distribution management services; The metrology technology supervision and management module is used to provide online verification management of assembly line standards; APP mobile application module, used to provide distribution business, turnover box recycling and auxiliary function services; The experimental scheduling and monitoring module is used to provide operation control, operation monitoring, laboratory key monitoring, delivery tracking, experimental business subject analysis and assembly line detection system overall control and scheduling services; Intelligent operation and maintenance management module, used to provide ledger management, inspection management, fault alarm management, production facility maintenance plan monitoring, key equipment health status evaluation, maintenance management, repair management, production facility status change management, automated inspection, fault linkage, fault diagnosis and early warning services; System auxiliary module, used to provide statistical reports, indicator system management, announcement management, low-value vulnerable and consumables management, and business delivery services; The full life cycle monitoring module is used to provide overall display of the full life cycle, full life cycle status monitoring, and full life cycle quality analysis services; Large screen management module, used to provide metering center business monitoring, assembly line and storage three-dimensional monitoring, power metering key data monitoring, intelligent building monitoring, video monitoring integration services; The system support module is used to provide message management, custom query, organization and permission management, version management, system parameter management, system operation monitoring, report parameter customization, and log management services.

2. The electric energy dispatching integrated system according to claim 1, characterized in that: The electric energy dispatching integrated system also includes: The marketing end is used to formulate corresponding electric energy metering experiment scheduling management tasks and send them to the electric energy metering experiment scheduling management platform.

3. The electric energy dispatching integrated system according to claim 2, characterized in that: The electric energy metering experiment dispatching management platform is also used for: According to the electric energy metering experiment scheduling management task, the electric energy metering experiment scheduling instruction corresponding to the six-line one-storage system is generated, and issued to the corresponding six-line one-storage system; At the same time, feedback is given to the marketing end.

4. The electric energy dispatching integrated system according to claim 1, characterized in that: The system further comprises: The data middle platform is used to pre-process the processing / business data of the electric energy metering experiment scheduling management platform; The data center is communicatively connected to the electric energy metering experiment scheduling management platform.

5. The electric energy dispatching integrated system according to claim 1, characterized in that: The system further comprises: A unified portal system is used to provide formatted household identities for each user accessing the electric energy metering experiment scheduling management platform, and to perform unified identity management; The unified portal system is communicatively connected with the electric energy metering experiment scheduling management platform.

6. The electric energy dispatching integrated system according to claim 1, characterized in that: The account management includes: Data integration: Use API interfaces or data synchronization tools to integrate basic information about production facilities, key equipment, and inspection records into the intelligent operation and maintenance management platform; Automatic data entry: Adopt intelligent recognition system to automatically enter equipment information by scanning QR code and RFID tag to reduce manual errors; Electronic management: Establish an electronic ledger system to support multi-dimensional query, export and report generation to ensure data accuracy and traceability; The inspection management includes: Automated inspection: Deploy drones, robots or smart sensors to conduct regular inspections and collect equipment operating status data; Intelligent Scheduling: Optimize inspection routes and frequencies based on AI algorithms to ensure that key equipment receives priority attention.

7. An application method of the electric energy dispatching integration system according to any one of claims 1 to 6, characterized in that: The steps include: The user logs in to the electric energy metering experiment scheduling management platform, and the unified portal system provides formatted household identities for each user accessing the electric energy metering experiment scheduling management platform to perform unified identity management; The administrator formulates corresponding electric energy metering experiment scheduling management tasks through the marketing end, and sends them to the electric energy metering experiment scheduling management platform; The electric energy metering experiment scheduling management platform generates an electric energy metering experiment scheduling instruction corresponding to the six-line one-storage system according to the electric energy metering experiment scheduling management task, and sends it to the corresponding six-line one-storage system; The six-line-one-storage system executes specific electric energy metering experiment dispatching instructions, and the smart building system of each deployment point collects the electric energy metering experiment dispatching data generated by the six-line-one-storage system of each deployment point to the electric energy metering experiment dispatching management platform; at the same time, the video surveillance system of each deployment point collects the monitoring video to the electric energy metering experiment dispatching management platform; The electric energy metering experiment scheduling management platform monitors the task execution status of each deployment point through monitoring video, and calls the calibration standards and calibration systems required for the electric energy metering experiment provided by the standard device and laboratory equipment system to monitor and schedule the task execution status of each deployment point.

8. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to implement the application method described in claim 7 when executing the executable instructions.

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