Development of a Pendulum-Type Power Transmission Line Inspection Robot and Anomaly Detection Methods of Power Transmission Line

被引:0
|
作者
Hayashi F. [1 ,2 ,3 ]
Miwa M. [1 ]
Misaki Y. [2 ]
Iwamoto N. [2 ]
Takechi T. [3 ]
机构
[1] Graduate School of Sciences and Technology for Innovation, Tokushima University, 2-1, Minamijousannjima, Tokushima
[2] Department of Electronic Systems Engineering, National Institute of Technology (KOSEN), Kagawa College 551, Koda, Takuma, Mitoyo
[3] Mitoyo AI Development Co. Ltd., 2171-1, Saita-Kami, Saita, Mitoyo
关键词
corrosion product; deep neural network; ground wire; photoluminescence; power line inspection; robot;
D O I
10.1541/ieejpes.144.244
中图分类号
学科分类号
摘要
Power transmission lines are vital infrastructures in our daily lives. We have developed a remote-controlled robot that can run on the transmission lines and capture clear images to improve the safety, accuracy, and efficiency of power transmission line inspections. On the other hand, anomaly detections in the images of the power transmission lines are also a difficult task for humans because they have to inspect all the captured images thoroughly. We propose a method of photographing corrosion products generated on the surface of ground wires by using photoluminescence. In addition, we propose an anomaly detection method using deep neural networks further to improve the accuracy and efficiency of the inspections. In this paper, we present the results of field tests conducted to verify the essential operation of the inspection robot and the anomaly detection methods. © 2024 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:244 / 249
页数:5
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