LIU YUE, HUANG XINBO, LIU TIANJAO. Overview on Defect Detection Methods of Insulator for Overhead Transmission Lines Based on Deep Learning. [J]. Power capacitor & reactive power compensation, 2024, 45(3): 167-177.
DOI:
LIU YUE, HUANG XINBO, LIU TIANJAO. Overview on Defect Detection Methods of Insulator for Overhead Transmission Lines Based on Deep Learning. [J]. Power capacitor & reactive power compensation, 2024, 45(3): 167-177. DOI: 10.14044/j.1674-1757.pcrpc.2024.03.021.
Overview on Defect Detection Methods of Insulator for Overhead Transmission Lines Based on Deep Learning
Insulator is indispensable component in high voltage transmission lines. Regular maintenance of insulator can assure safe transmission of power and safe operation of power grid. Manual patrol inspection
robot patrol inspection
manned helicopter patrol inspection and unmanned aerial vehicle patrol inspection are the existing patrol inspection methods of transmission lines. At present
the mainstream mode of operation and maintenance of power line in China is“UAV patrol inspection as the main mode
supplemented by manual patrol inspection”. For the sake of safety
the UAV
in case of inspecting the HV transmission line
must keep a certain safe distance from the transmission lines. Since the image background and the state of the insulator in the transmission line taken by the VAV is various and complex and also there are more types of small targets
the common types of target detection algorithm for the scenario of detection of insulator of transmission line is analyzed in this paper
the pros and cons of different algorithm strategy is compared and the algorithm is improved in combination with actual application. Finally
the research trend for the defect detection of insulator is prospected.
关键词
无人机巡检深度学习目标检测算法绝缘子缺陷检测
Keywords
UAV patrol inspectiondetection algorithm of deep learning targetdefect detection of insulator