Intelligent early warning method and system for preventing external damage of power transmission line

By collecting and processing acoustic data of transmission lines using acoustic sensors, and utilizing sparse reconstruction of acoustic features and dual-domain attention cross-recognition technology, the problems of numerous blind spots and high response delays in transmission line external damage prevention technology have been solved, enabling accurate identification and efficient early warning of external damage.

CN120928117AActive Publication Date: 2025-11-11HUBEI CENT CHINA TECH DEV OF ELECTRIC POWER
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Patent Information

Application Number
CN202511445851.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-11
Publication Date
2025-11-11
Estimated Expiration
2045-10-11

AI Technical Summary

Technical Problem

Existing technologies for preventing external damage to transmission lines suffer from numerous blind spots, high response delays, and high false alarm rates, making it difficult to effectively identify and track external damaging factors such as construction machinery intrusion and vegetation encroachment on power corridors.

Method used

Acoustic sensors are used to collect acoustic data of the line. By sparse reconstruction of voiceprint features and sparse causal graph matching, combined with dual-domain attention cross-recognition and scene graph generation, a causal graph of sound source behavior is constructed to achieve accurate identification and dynamic tracking of sound sources.

Benefits of technology

It enhances the ability to identify and respond to external acts of sabotage, reduces false alarm rates, and provides clear decision-making basis and highly robust intelligent early warning capabilities.

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Abstract

The invention relates to the technical field of intelligent operation and maintenance of a power system, in particular to an intelligent early warning method and system for preventing external damage of a power transmission line. The method comprises the following steps: acquiring acoustic data of a power transmission line through an acoustic sensor; performing voiceprint feature sparse reconstruction according to the transmission line acoustic data to obtain voiceprint feature data; performing sparse causal graph matching on the voiceprint feature data to obtain sound source behavior causal graph data; performing double-domain attention cross recognition according to the sound source behavior causal atlas data to obtain sound source separation recognition data; and performing scene map generation on the sound source separation identification data to obtain sound source scene map data. According to the invention, by constructing the nested causal chain graph and fusing the propagation weight mechanism, the development evolution and multi-stage trigger relationship of the external damage event of the power transmission line can be accurately captured. Compared with a traditional single-point detection method, the method has higher chain reasoning ability and early risk identification ability, and the response foresight and causal interpretability of an early warning system are effectively improved.
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