Multi-modal error dynamic compensation method and system of intelligent electric meter

By building an environment perception unit and an error prediction model, combined with a multi-level compensation mechanism, the problem of significantly increasing measurement error of smart meters in complex environments is solved, real-time dynamic adjustment and high-accuracy measurement are achieved.

CN119757816APending Publication Date: 2025-04-04国网安徽省电力有限公司营销服务中心 +1
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Patent Information

Application Number
CN202510210197.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

Under complex dynamic environments and fluctuations in working conditions, the measurement error of smart meters has increased significantly, and the prior art is difficult to respond to multimodal errors in real time, resulting in compensation lag or over-adjustment problems.

Method used

By constructing environmental perception units, obtaining environmental factor parameters, generating environmental metabolic indexes, building an error prediction model based on the mechanism of action of hormone release factors, collecting original signals in real time for multimodal error detection, and triggering a multi-level compensation mechanism.

Benefits of technology

It realizes real-time dynamic adjustment of the meter meter meter parameters in complex environments, improves the stability and accuracy of the meter, and solves the problems of multimodal error collaborative correction and adaptive adjustment of compensation parameters.

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Abstract

The invention discloses a multi-modal error dynamic compensation method and system for an intelligent electric meter, and the method comprises the steps: constructing an environment perception unit, and obtaining an environment factor parameter; performing weighted calculation on the environmental factor parameters to generate an environmental metabolic index; constructing an error prediction model based on the hormone release promoting factor action mechanism in combination with the environmental metabolic index so as to obtain a prediction error offset; original signals are collected in real time, multi-modal error detection is carried out, and error vectors are generated; acquiring a compensation trigger threshold according to the error vector; and comparing the predicted error offset with a compensation trigger threshold, and triggering a multi-stage compensation mechanism. According to the invention, the metering parameters of the electric meter can be dynamically adjusted on line in real time under complex working conditions, so that the stability and accuracy of the electric meter are improved.
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