基于无人机的输电线路异常与缺陷自动诊断系统

2016 4th International Conference on Applied Robotics for the Power Industry (CARPI) Pub Date : 2016-10-01 DOI:10.1109/CARPI.2016.7745632

Fan Zhang, Yabo Zhao, W. Wang, Peng Li, Qiaoyun Lin, Lingao Jiang

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引用次数: 13

摘要

基于无人机的传输线异常检测是传输线检测的重要组成部分。为了提高检测效率，介绍了该检测系统。首先，提出了直方图规范的方法来消除大雾天气的影响;通过图像拼接得到整个塔。其次，利用格式塔感知算法对铁塔、绝缘子、输电线路进行有效检测，并根据部件的特征检测出部件的缺陷;最后，检测过程完成后，报告自动呈现。实验结果表明，该系统能够很好地实现输电线路诊断的各项任务，大大提高了工作效率。

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Automatic diagnosis system of transmission line abnormalities and defects based on UAV

The abnormalities and detects of transmission line based on UAV is an important part of transmission line detection. In order to improve the efficiency of detection, the detection system is introduced. Firstly, the method of histogram specification is proposed to eliminate the influence of flog weather. And image stitching is used to get the whole tower. Secondly, with the help of Gestalt perceptual algorithm, the tower, insulator and transmission lines can be detected efficiently and the defection of those parts would be detected based on parts' features. Lastly, the report presents automatically after detection process. The experimental results show the system is able to powerful to implement the items of transmission line diagnosis and tremendously improve the efficiency.

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2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)

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