摘要
随着城市轨道交通行业的蓬勃发展,供电系统日常巡检压力剧增。梳理了日常巡检内容并根据城市轨道交通供电设备的分布特色将图像识别对象进行分类,通过介绍牵引降压混合所的摄像头部署方案以及无人巡检的完整流程,验证了方案的可行性。
With the rapid development of urban rail transit industry,the daily inspection pressure of power supply system increases sharply.In this paper,the daily inspection content is summarized and the image recognition objects are classified according to the distribution characteristics of the power supply equipment of urban rail transit.The feasibility of the scheme is verified by introducing the camera deployment scheme and the complete process of unmanned inspection in the tractors and drops hybrid station.
作者
麦华仁
赖沛鑫
林炳城
招康杰
MAI Huaren;LAI Peixin;LIN Bingcheng;ZHAO Kangjie(Guangzhou Yangxin Technology Research Co.,Ltd.,Guangzhou 510000,China;Guangzhou Baiyun Electric Equipment Co.,Ltd.,Guangzhou 510460,China;Guangzhou Metro Group Co.,Ltd.,Guangzhou 510335,China)
出处
《电工技术》
2023年第8期98-100,103,共4页
Electric Engineering
关键词
摄像头
图像识别
城市轨道交通
供电系统
无人巡检
camera
image recognition
urban rail transit
power supply system
unmanned inspection
