Method and system for detecting multi-scale target defects in power transmission line

By sizing the transmission line detection targets and training the corresponding detection models, combining the multiple sensors and positioning modules of the drone, the accuracy and efficiency problems of multi-scale target defect detection are solved, and high-precision autonomous inspection is achieved in a weak network environment.

CN119649247AInactive Publication Date: 2025-03-18DAZHOU POWER BUREAU SICHUAN ELECTRIC POWER
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Patent Information

Application Number
CN202411713825.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-03-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the automatic inspection of drones on transmission lines, it is difficult to effectively detect multi-scale target defects, and high-precision autonomous positioning and obstacle avoidance flight cannot be achieved in a weak network environment, which affects the efficiency and accuracy of data acquisition.

Method used

By dividing the detection targets into Class I and Class II according to their size, the Class I target defect detection model and Class II target defect detection model are trained respectively, and combined with the cameras, three-dimensional lidar, edge computing modules and GNSS/IMU boards mounted by the patrol drone, high-precision autonomous positioning and obstacle avoidance flight are achieved.

Benefits of technology

It improves the detection accuracy and efficiency of multi-scale target defects in power transmission lines, and can achieve high-precision autonomous positioning and obstacle avoidance flight in a weak network environment, ensuring the safety of the drone and the quality of data acquisition.

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Abstract

The invention relates to the technical field of power transmission line defect detection, in particular to a method and system for detecting multi-scale target defects in a power transmission line. According to the technical scheme, temperature information in a tunnel is obtained in real time, and the temperature difference in a preset time interval is calculated based on the temperature information; dividing the detection targets into I-class targets and II-class targets according to the sizes of the detection targets; training a defect detection model; the defect detection model comprises a classification module, a class I target defect detection model and a class II target defect detection model; the inspection unmanned aerial vehicle carries a camera to move along a pre-planned route, and aerial photography is carried out to obtain a to-be-inspected target image; a three-dimensional laser radar, an edge calculation module, a GNSS / IMU board card and an antenna connected with the GNSS / IMU board card are installed on the inspection unmanned aerial vehicle. By adopting the scheme provided by the invention, the training efficiency of the defect detection model, the defect detection efficiency and precision and the data acquisition efficiency and precision can be improved.
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