Method and system for health assessment of electric energy meter based on running state

CN121831664BActive Publication Date: 2026-06-19NANJING SIYU ELECTRIC TECH CO LTD

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: NANJING SIYU ELECTRIC TECH CO LTD
Filing Date: 2026-03-11
Publication Date: 2026-06-19

AI Technical Summary

Technical Problem

Existing technologies are insufficient for accurate early identification of latent faults in electricity meters. Traditional health assessment methods lack the ability to comprehensively analyze multi-dimensional operating states and their dynamic evolution, making it difficult to detect latent faults in a timely and accurate manner.

Method used

By collecting electrical operating parameters and temperature monitoring parameters of the electricity meter in real time, an operating state space of the electricity meter is constructed, a state transition behavior model is established, feature learning is performed through historical normal operation data, standard state transition features are extracted, and the degree of difference between the actual state transition features and the standard state transition features is compared to generate health status prompt information.

Benefits of technology

It enables accurate assessment of the health status of electricity meters and early warning of hidden faults, improving the accuracy and timeliness of electricity meter fault identification.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a method and system for health assessment of electricity meters based on operational status, relating to the field of electricity metering technology. The method includes: real-time acquisition of electrical operating parameters and temperature monitoring parameters of the electricity meter; extraction of real-time temperature feature data from the chip based on chip temperature-related data, combined with electrical operating parameters, to construct an operational status space for the electricity meter and establish a state transition behavior model; feature learning of the state transition behavior model using historical normal operating data to extract standard state transition features; inputting the acquired real-time operational status parameters into the state transition behavior model to obtain actual state transition features; comparing the degree of difference between the actual state transition features and the standard state transition features to generate electricity meter health status alert information. This invention solves the technical problem of difficulty in accurately identifying latent faults in electricity meters in existing technologies, achieving the technical effect of accurate assessment of electricity meter health status and early warning of latent faults.

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