Power transmission line adaptive inspection method and system

By integrating lightweight artificial intelligence algorithms and GPS/SLAM technology, the UAV adaptive inspection method solves the problems of high cost, low efficiency and inaccurate images of autonomous UAV inspection, and realizes efficient and accurate inspection of transmission lines with voltage levels of 110kV and below.

CN120779719APending Publication Date: 2025-10-14JINING POWER SUPPLY CO OF STATE GRID SHANDONG ELECTRIC POWER CO
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Patent Information

Application Number
CN202510753488.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-06
Publication Date
2025-10-14

AI Technical Summary

Technical Problem

Existing drone autonomous inspection technology for transmission lines has the problems of high cost, low efficiency, high threshold, poor flexibility, inaccurate image capture, and inability to accurately avoid obstacles, resulting in cumbersome defect identification and difficult channel inspection.

Method used

It uses lightweight artificial intelligence technology, integrates target recognition, visual tracking, automatic obstacle avoidance, path correction, adaptive dimming, automatic focusing, multi-angle shooting and other algorithms, and combines GPS positioning and visual SLAM technology to achieve adaptive inspection of drones, generate autonomous inspection routes, accurately control flight altitude and optimize image exposure.

Benefits of technology

It reduces the difficulty of operation, improves inspection efficiency, enhances the accuracy of defect identification and image quality, adapts to various terrains, reduces equipment costs and operating thresholds, and realizes refined inspection of transmission lines with voltage levels of 110kV and below.

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Abstract

The invention provides a power transmission line adaptive inspection method and system, and belongs to the technical field of power transmission inspection. According to the real-time image, a light-weight visual navigation model is adopted to determine and recognize a tower, and the unmanned aerial vehicle flies to the tower top of the tower in an imitated mode according to the tower shape features of the recognized tower; wherein in the simulated flight, a GPS and a visual SLAM are adopted to independently solve a pose, and an optimally estimated fusion height is output through extended Kalman filtering fusion; adopting an identification algorithm for the tower to obtain tower parameters; and determining a routing inspection waypoint plan according to the tower parameter matching database, and shooting a routing inspection image of the tower key equipment according to the routing inspection waypoint plan. According to the invention, algorithms of target identification, visual tracking, automatic obstacle avoidance, path correction, adaptive dimming, automatic focusing, multi-angle shooting and the like are integrated, and power transmission line inspection with low difficulty, high efficiency and accurate identification is realized.
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