Electric power data management method and system based on RPA robot

Through the power data management method based on RPA robots, the problems of inefficiency and error-proneness of the power data management system have been solved, efficient and accurate data processing and optimized business processes have been achieved, and the digital transformation of power companies has been promoted.

CN120725593APending Publication Date: 2025-09-30PUYANG POWER SUPPLY COMPANY STATE GRID HENAN ELECTRIC POWER
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Patent Information

Application Number
CN202411755489.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-02
Publication Date
2025-09-30

AI Technical Summary

Technical Problem

The existing power data management system has problems of inefficiency, error-proneness and high cost in data capture, processing, analysis and modeling, report generation and distribution, which seriously restricts the effective use and value mining of power data.

Method used

An RPA-based power data management method is adopted to acquire data, perform format conversion and cleaning by simulating manual operations, integrate data using adaptive data acquisition algorithms and graph database technology, optimize resource allocation in combination with intelligent task scheduling algorithms, and achieve seamless connection through intelligent interface adaptation technology, generate statistical summary results and push early warning information.

Benefits of technology

It has improved the efficiency and accuracy of power data processing, reduced the burden on grassroots staff, optimized power business processes, promoted the digital transformation of power companies, and enhanced the system's responsiveness and service level.

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Abstract

The invention relates to the technical field of power data management, and discloses a power data management method and system based on an RPA robot. The method comprises the steps that an RPA robot simulates manual operation, and tasks such as collection, arrangement, analysis and report generation of electric power data are automatically completed. According to the method and the system, an adaptive data acquisition algorithm, a data association integration algorithm, an intelligent task scheduling algorithm, a complex event processing algorithm and an intelligent interface adaptation algorithm are specially designed, so that the accuracy, the efficiency and the intelligent level of data processing are improved. According to the technical scheme, the efficiency, accuracy and timeliness of power data management can be effectively improved, the working quality and efficiency are improved, burden reduction and efficiency improvement of a basic level are assisted, and digital transformation of the power industry is promoted.
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