Interference signal time-frequency feature extraction method and system based on clock synchronization of electric energy meter

By using a clock synchronization mechanism and joint time-frequency analysis, the problems of low accuracy in identifying interference signals and insufficient source tracing capability of electricity meters have been solved, enabling accurate identification and source tracing of interference signals and improving the efficiency and accuracy of power grid operation and maintenance.

CN122196514APending Publication Date: 2026-06-12NANJING SIYU ELECTRIC TECH CO LTD
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Patent Information

Application Number
CN202610659675.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-14
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

In existing technologies, interference signal analysis and processing of electricity meters suffer from low interference identification accuracy and insufficient source tracing capabilities, making it difficult to meet the refined operation and maintenance needs of large-scale power distribution areas.

Method used

By acquiring sampling signal groups from multiple energy meters within the power distribution area, using a clock synchronization mechanism to detect abnormal triggering under time-series correlation, extracting signal segments of suspected interference events, performing cross-measuring point event matching and time deviation correction, constructing a joint time-frequency feature set, extracting the cross-measuring point propagation features of interference signals, and performing reverse tracing compensation mining to obtain interference tracing compensation vectors, thereby achieving anti-interference reconstruction.

Benefits of technology

It improves the accuracy of interference signal identification, enables precise tracing of the interference source and propagation path, and enhances the efficiency of interference event handling.

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Abstract

The invention discloses an interference signal time-frequency feature extraction method and system using electric energy meter clock synchronization, and relates to the data processing related field, and the method comprises the steps: obtaining a plurality of sampling signal groups of a plurality of electric energy meters in a power distribution area, carrying out the abnormal trigger detection under time sequence association according to a clock synchronization mechanism, and determining a sampling suspected interference event; intercepting a multi-measuring-point signal segment corresponding to the interference event, and carrying out cross-measuring-point event matching and time deviation correction to obtain a same-interference-event signal set; performing joint time-frequency analysis on the signal set, and constructing a joint time-frequency feature set; extracting interference signal cross-measurement-point propagation features to perform reverse tracing compensation mining, and obtaining an interference tracing compensation vector; and carrying out anti-interference reconstruction on the signal set. According to the invention, the technical problems of low interference identification precision and insufficient traceability in the existing electric energy meter interference signal analysis and processing are solved, and the technical effects of improving the interference signal identification precision and realizing accurate traceability of an interference source and a propagation path are achieved.
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