摘要
随着我国经济的快速发展和国内用电负荷急增,电力系统亟须提升供电可靠性,用以维持工业及居民用电需求.输电线路巡检是电力巡检的最重要组成部分,提高电网线路巡检技术变得异常重要.对无人机采集的架空输电导线红外图像进行研究,提出一种基于霍夫直线检测的红外图像分割方法,对红外图像中的导线区域取得了较为理想的分割效果,有效提升了基于红外图像的故障诊断准确率.同时结合灰度阈值法,给出了一套针对导线过热的自动检测流程,有效提高了电网线路巡检效率,为电力系统供电可靠性的提升提供有力保障.
With the rapid development of China’s economy and the sharp increase of domestic electricity load,improving the reliability of power supply is needed in the power system to maintain the demand of electricity for industry and resident.Transmission line inspection is the most important part of electric power inspection.Therefore,it is crucial to improve the transmission line inspection technology.In this paper,infrared images of overhead transmission cable collected by unmanned aerial vehicle(UAV)is studied,and an infrared image segmentation method based on Hough straight line detection is given.An ideal segmentation effect for the cable area in the infrared image is obtained,which improves the accuracy of fault diagnosis.Combined with gray threshold method,a set of automatic detection process for the wire overheating is proposed,which can effectively enhance the inspection efficiency of transmission line.This research will provide a strong guarantee for the improvement of power supply reliability of power system.
作者
刘云飞
李光泽
韩岳松
张新春
LIU Yunfei;LI Guangze;HAN Yuesong;ZHANG Xinchun(Anhui Electric Power Transmission and Transformation Co.Ltd.,Hefei 231202,China;Department of Mechanical Engineering,North China Electric Power University,Baoding 071003,Hebei China)
出处
《河南科学》
2022年第5期739-744,共6页
Henan Science
基金
河北省自然科学基金资助项目(A2020502005)。
关键词
输电线路
红外成像技术
导线过热
霍夫直线检测
图像分割
transmission line
infrared imaging technology
cable overheating
Hough linear detection
image segmentation
