A power transmission line bird damage state estimation method based on deep learning

Abstract

The application discloses a kind of based on deep learning's power transmission line bird damage state estimation method, it is related to electric power intelligent operation and maintenance technical field, including: collection power transmission line area's multimodal bird situation data and to multimodal bird situation data carry out time alignment and synchronous processing, generate bird damage monitoring data set;Bird damage monitoring data set is extracted to multi-source feature, obtain bird behavior characteristics, and uniformly express to bird behavior characteristics, generate bird damage feature data set;Based on bird damage state estimation information constructs controllable sound variable repelling strategy, and to controllable sound variable repelling strategy carries out linkage control, generates anti-bird control scheme;To anti-bird control scheme executes real-time driving, obtains bird response change, and to bird response change carries out sustained tracking and effect contrast analysis, generates bird damage state correction record.The application enhances the prevention and control pertinence and closed-loop regulation ability.

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