Ammeter misalignment detection method and system based on high-frequency sampling data of electricity utilization acquisition system

By using high-frequency sampling data from the electricity consumption acquisition system and employing technologies such as time synchronization correction, multi-dimensional validity verification, and voltage correlation phase recognition, the accuracy and stability issues of meter misalignment detection have been resolved, enabling high-precision meter misalignment detection in complex environments.

CN122017720APending Publication Date: 2026-05-12NANJING METER TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610465620.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-10
Publication Date
2026-05-12

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve high-precision meter malfunction detection under conditions of unclear meter phase, data noise interference, and significant load fluctuations, especially in high-density distribution areas or distributed load access scenarios, and cannot meet the needs for refined, automated, and quantifiable assessments.

Method used

A method for detecting meter inaccuracies based on high-frequency sampling data from an electricity consumption acquisition system is adopted. The original detection dataset is constructed through time synchronization correction and window mapping. Combined with multidimensional validity verification, voltage-related phase identification, sliding window sample construction, and regularized linear regression solution, the meter phase reorientation and inaccuracy ratio calculation are realized.

Benefits of technology

In complex transformer substation environments, precise meter phase resetting without manual calibration is achieved, improving the accuracy and robustness of meter misalignment detection, reducing the false judgment rate and model bias, and enhancing the stability and engineering applicability of the detection.

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Abstract

The invention relates to the technical field of electrical variable measurement, and discloses an electricity meter misalignment detection method and system based on high-frequency sampling data of an electricity utilization acquisition system, and the method comprises the steps: obtaining high-frequency acquisition data; executing voltage range verification, electric quantity abnormity screening and time continuity verification; performing calculation to realize single-phase meter division phase-returning identification; establishing a linear regression model between the general table and the in-phase sub-table; regularization constraint is introduced to solve each sub-table correction coefficient; and carrying out threshold value judgment and result output. In the prior art, an electric meter abnormity identification method depends on manual sampling inspection, and especially under the condition that branch meter phase access is not clear, high-precision misalignment detection is difficult to realize. Due to the fact that a high-frequency data unified time reference construction mechanism and an automatic phase-returning recognition mechanism based on voltage correlation are introduced, fine modeling and stable solving of metering deviation of all sub-meters are achieved, and the accuracy of ammeter misalignment detection is improved.
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