Power line anomaly detection method and system based on unmanned aerial vehicle

By using a closed-loop system that integrates drones and servers, combined with reinforcement learning and multispectral sensors, efficient, intelligent, and safe management of power line anomaly detection has been achieved. This solves the problems of low detection efficiency, insufficient intelligence, and weak safety control in existing technologies, and improves detection efficiency and anomaly identification capabilities.

CN120996791AActive Publication Date: 2025-11-21STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST
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Patent Information

Application Number
CN202511521552.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-23
Publication Date
2025-11-21
Estimated Expiration
2045-10-23

AI Technical Summary

Technical Problem

Existing power line detection technologies suffer from problems such as low detection efficiency, insufficient intelligence, fragmented data management, weak safety control, and response delays, making it difficult to achieve efficient and intelligent anomaly detection and safety management.

Method used

A closed-loop system based on drones is adopted, which combines the collaborative work of servers and drones. The inspection path is dynamically corrected through reinforcement learning algorithms, images are collected and automatically analyzed using multispectral sensors, and the entire process of encrypted data transmission and blockchain evidence storage is constructed to realize data interaction and trajectory adjustment between drones and generate intelligent anomaly detection reports.

Benefits of technology

It significantly improves detection efficiency and intelligence, enhances the ability to identify subtle anomalies, ensures data security, shortens report generation time, and achieves full-process automation and security management.

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Abstract

The invention discloses a power line anomaly detection method and system based on an unmanned aerial vehicle. The method comprises the steps that a server analyzes a power line detection request to obtain a detection area and a detection time period; planning an initial detection track, generating a power line detection instruction based on the initial detection track, the detection area and the detection time period, and issuing the instruction to the unmanned aerial vehicle; the unmanned aerial vehicle executes an inspection task in the electronic fence, the initial detection track is dynamically corrected in the inspection process, and a flight time sequence image is collected; analyzing the flight time sequence image through a line anomaly detection model, and outputting a line anomaly detection result; an actual detection track is recorded, and abnormity marking is carried out on the actual detection track; and recording, encrypting and uploading an inspection log to the server. The method has the advantages that the detection efficiency, the intelligent level and the safety management capability of power line anomaly detection are greatly improved.
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