Electric energy meter quality management analysis method and system

CN119538725APending Publication Date: 2025-02-28STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +1
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Patent Information

Application Number
CN202411619794.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-13
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

The existing technology is difficult to effectively manage and analyze the quality data of electricity meters, which makes it difficult for the accuracy and efficiency of metering data in the digital transformation of the power grid to meet the needs.

Method used

A method of quality management analysis of electricity meter is adopted to build an electricity meter index system, calculate the index weights, and generate the quality analysis results of the electricity meter through data collection, abnormal data deletion, correlation analysis, principal component analysis, factor analysis and dynamic adaptive weight algorithm.

Benefits of technology

It realizes comprehensive recording and real-time update of the quality data of the electricity meter, improves the efficient, intelligent and lean full life cycle management of the electricity meter, and meets the demand for massive accurate measurement data for the digital transformation of the power grid.

✦ Generated by Eureka AI based on patent content.

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Abstract

An electric energy meter quality management analysis method is characterized by comprising the following steps: acquiring operation data of an electric energy meter, and after deleting abnormal data, calculating the operation data to obtain an electric energy meter index quantity; establishing a correlation between the electric energy meter indexes by using a correlation analysis method, and performing dimension reduction on the electric energy meter indexes based on the correlation to obtain a first electric energy meter index system; performing dimension reduction on the first electric energy meter index system by adopting a principal component analysis method to obtain a second electric energy meter index system; merging partial indexes in the second electric energy meter index system by adopting a factor analysis method to obtain a third electric energy meter index system; obtaining the weight of each index in the second electric energy meter index system and the weight of each index in the third electric energy meter index system by adopting a dynamic adaptive weight algorithm; and calculating the current index quantity of each index by utilizing the index quantity and the weight of the electric energy meter, and obtaining a quality analysis result of the electric energy meter by utilizing the abnormal condition of the current index quantity.
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Citation Information

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