A fixed camera-based power transmission network clamp loosening monitoring system and method

By installing low-power AI cameras on transmission towers and combining computer vision technology with various algorithms, real-time monitoring and early warning of loose wire clamps have been achieved, solving the problems of high cost and long cycle of existing detection methods and ensuring the stability of the power transmission network.

CN121095861BActive Publication Date: 2026-07-24一览众山(厦门)电力技术有限公司
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Patent Information

Application Number
CN202511151696.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-18
Publication Date
2026-07-24
Estimated Expiration
2045-08-18

AI Technical Summary

Technical Problem

Existing methods for detecting loose power line clamps rely on manual or drone inspections, which are costly, time-consuming, and difficult to achieve in real-time monitoring, failing to meet the needs for low-cost, all-weather, and real-time monitoring.

Method used

A monitoring system based on fixed cameras is adopted. By installing low-power AI cameras on transmission towers and spraying weather-resistant color markings, computer vision technology is used to analyze the minute displacements or swaying of clamps and cables. Combined with image processing, optical flow analysis, and temporal neural network technologies, real-time monitoring and early warning are achieved.

Benefits of technology

It enables efficient and accurate identification and assessment of loose wire clamps, ensuring the stable operation of the power transmission network, and has good feasibility and application prospects.

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Abstract

The application discloses a kind of fixed camera-based power transmission network clamp loosening monitoring system and method, wherein the method includes: obtaining the sequence image data of power transmission clamp and cable containing high-contrast visual characteristic mark layer sprayed, which is collected by an image acquisition device deployed on a power transmission tower;Determine whether the quality parameter of the sequence image data is lower than a preset quality threshold according to the quality parameter;If the determination result is no, then the target detection algorithm is used to process the sequence image data to identify and locate the power transmission clamp and the cable, and obtain its position information in continuous image frames, etc.The application installs a camera on the power transmission tower, and sprays weather-resistant color marks on the clamp and cable, analyzes the small displacement or shaking of the clamp and cable using computer vision technology, realizes real-time monitoring and sends alarm information to the management personnel.
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