摘要
西南铁路沿线环境复杂,降雨、地震时常引发岩石等物体滚落在线路之上,危及高速铁路及普速铁路的行车安全。为保障行车安全,中国铁路成都局集团在沪昆铁路等设立了异物侵限监测报警系统,然而列车临停、小动物上道、人工作业等时常引发系统报警,拦停列车或干扰现场作业。本文介绍了基于三维模式的线路障碍自动监测报警系统,该系统采用三维激光雷达对线路设定的防区进行扫描得到点云数据,线路两边同时增设视频监控设备得到图像数据,通过激光雷达点云数据与图像数据融合,对侵限物体目标实现多类别的识别,过滤报警干扰项,有效地避免了铁路线路限界内障碍物监测报警系统存在无效报警情况,极大地降低了误报对行车的干扰。
The environment along the railways in southwest China is complex. Rainfall and earthquakes often cause rocks and other objects to fall on the line,endangering the traffic safety of high-speed railways and conventional railways. In order to ensure train operation safety,China Railway Chengdu Group Co.,Ltd. has set up a foreign object intrusion monitoring and alarm system for railways such as Shanghai-Kunming Railway. However,temporary stops of trains,small animals on the track,worker’s operation,etc. often trigger system alarms,stop trains or interfere with on-site operations.This paper introduces an automatic monitoring and alarm system for railway obstacles based on a three-dimensional mode.The system uses three-dimensional laser radar to scan the defense area set for the line to obtain point cloud data,and video monitoring equipment is added on both sides of the line to obtain image data. Through the fusion of laser radar point cloud data and image data,multi-category identification of intrusion objects is realized. Filtering alarm interference items effectively avoids invalid alarms in the obstacle monitoring and alarm system within the clearance of railway lines and greatly reduces the interference of false alarms to train operations.
作者
郑亚宏
Zheng Yahong(China Railway Chengdu Group Co.,Ltd,Chengdu 610081,China)
出处
《高速铁路技术》
2022年第5期64-68,共5页
High Speed Railway Technology
关键词
铁路线路
障碍监测
激光点云
图像识别
数据融合
railway line
obstacle monitoring
laser point cloud
image recognition
data fusion
