[1]郑亚宏.铁路线路障碍物判识技术及应用[J].高速铁路技术,2022,13(05):64-68.[doi:10.12098/j.issn.1674-8247.2022.05.013]
 Zheng Yahong.The Technology of Identifying Railway Obstacles and Its Application[J].HIGH SPEED RAILWAY TECHNOLOGY,2022,13(05):64-68.[doi:10.12098/j.issn.1674-8247.2022.05.013]
点击复制

铁路线路障碍物判识技术及应用()
分享到:

《高速铁路技术》[ISSN:1674-8247/CN:51-1730/U]

卷:
13卷
期数:
2022年05期
页码:
64-68
栏目:
研究创新
出版日期:
2022-10-01

文章信息/Info

Title:
The Technology of Identifying Railway Obstacles and Its Application
文章编号:
1674-8247(2022)05-0064-05
作者:
郑亚宏
(中国铁路成都局集团有限公司, 成都610081)
Author(s):
Zheng Yahong
(China Railway Chengdu Group Co. ,Ltd ,Chengdu 610081 ,China)
关键词:
铁路线路 障碍监测 激光点云 图像识别 数据融合
Keywords:
railway lineobstacle monitoringlaser point cloudimage recognitiondata fusion
分类号:
U216.3
DOI:
10.12098/j.issn.1674-8247.2022.05.013
文献标志码:
A
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。
Abstract:
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.

参考文献/References:

[1] 汪希时. 智能铁路交通控制技术及其展望[J]. 世界科技研究与 发展, 2002, 24(5): 39 - 43. WANG Xishi. Intelligent Railway Transportation Control Techniques and Its Prospect[J]. World Sci-Tech R & D, 2002, 24(5): 39 - 43.
[2] 郑亚宏, 何家玉. 铁路线路障碍监测报警系统研究[J]. 中国铁 路, 2019(9): 111 - 117. ZHENG Yahong, HE Jiayu. Research on Obstacle Monitoring and Alarm System on Railway Lines[J]. China Railway, 2019(9): 111 - 117.
[3] 周世明. 浅谈三维激光扫描技术在复杂艰险山区铁路全生命周 期建设中的应用[J]. 高速铁路技术, 2020, 11(5): 31 - 35. ZHOU Shiming. Discussion on the Application of 3D Laser Scanning Technology in the Full-Life-Cycle Construction of Complex and Difficult Mountains Railway[J]. High Speed Railway Technology, 2020, 11(5): 31 - 35.
[4] 宁滨, 余祖俊, 朱力强, 等. 铁路远程瞭望系统研究与应用[J]. 铁道学报, 2014, 36(12): 62 - 69. NING Bin, YU Zujun, ZHU Liqiang, et al. Remote Observation System of Railway and Its Application[J]. Journal of the China Railway Society, 2014, 36(12): 62 - 69.
[5] 张景利. 线路障碍自动监测报警系统及其应用[J]. 中国铁路, 2019(3): 95 - 99. ZHANG Jingli. Automatic Track Monitoring and Alarming System and Its Application[J]. China Railway, 2019(3): 95 - 99.
[6] 陆建峰, 唐振民, 杨静宇, 等. 多传感器的联合标定方法[J]. 机 器人, 1997(5):365 - 371. LU Jianfeng, TANG Zhenmin, YANG Jingyu, et al. Sensor Unified Calibration in Multisensor Data Fusion[J]. Robot, 1997(5):365 - 371.
[7] 房建武, 王贺, 薛建儒, 等. 基于视觉和激光数据融合的3D 多目 标跟踪[J]. 无人系统技术, 2019, 2(5): 24 - 29. FANG Jianwu, WANG He, XUE Jianru, et al. Multiple 3D Object Tracking with RGB and 3D-LiDAR Data Fusion[J]. Unmanned Systems Technology, 2019, 2(5): 24 - 29.
[8] 付耀文. 雷达目标融合识别研究[D]. 长沙: 中国人民解放军国 防科学技术大学, 2003. FU Yaowen. Research on Radar Target Fusion Recognition[D]. Changsha: National University of Defense Technology, 2003.
[9] 铁总科技〔2015〕184 号,线路障碍自动监测报警系统暂行技术条 件[S]. Tie Zong Ke Ji〔2015〕 No.184, Provisional Technical Specifications for Automatic Monitoring and Alarming System of Line Obstacle[S].
[10] Q/CR - CDT 007 - 2021 基于三维模式的线路障碍自动监测报警 系统技术条件:[S]. Q/CR - CDT 007 - 2021 Technical Specifications for Automatic Monitoring and Alarm System of Line Obstacle based on 3D Mode[S].

备注/Memo

备注/Memo:
收稿日期:2022 -03 -08
作者简介:郑亚宏(1964 -),男,高级工程师。
更新日期/Last Update: 2022-10-01