期刊文献+

客运专线异物侵限监控系统技术的研究 被引量:14

Research on Intrusion Monitoring System for PDL
在线阅读 下载PDF
导出
摘要 通过对几种异物侵限监测技术的对比分析,提出适合我国客运专线异物侵限监测的技术方案。详细描述异物侵限监控系统监测点设置原则、系统构成、工作原理和报警处置等关键技术。利用多种监测方式的优点,提出双电缆传感器和视频监控相结合的综合监测方案,可为客运专线异物侵限监控系统设计和建设提供参考。 Based on the analysis of several intrusion monitoring technologies, a monitoring scheme was put forward, which was suitable for China Passenger Dedicated Lines(PDL). In this paper, some key technologies were described, such as setting principles of monitoring sites, system structure, working principle, warning process and so on. By use of the advantages of varied monitoring methods, it was introduced a new monitoring scheme, which was integrated biaxial cable sensor and video. It could be referred for designing Intrusion Monitoring System.
出处 《铁路计算机应用》 2009年第7期8-10,共3页 Railway Computer Application
关键词 异物侵限 防灾 安全监控 信息系统 方案 intrusion disaster prevention safety monitoring Information System scheme
  • 相关文献

参考文献6

二级参考文献15

共引文献48

同被引文献58

  • 1夏洪峰.宜万铁路危岩落石监测预警系统[J].交通信息与安全,2013,31(2):119-121. 被引量:5
  • 2王植,贺赛先.一种基于Canny理论的自适应边缘检测方法[J].中国图象图形学报(A辑),2004,9(8):957-962. 被引量:223
  • 3桑红石,傅勇,张天序,刘云生.一种适合硬件实现的多值图像连通域标记算法[J].华中科技大学学报(自然科学版),2005,33(9):5-8. 被引量:5
  • 4何华武.创新的中国高速铁路技术(上)[J].中国工程科学,2007,9(9):4-18. 被引量:19
  • 5Smailes J, Ries R, Raslear T. Trespass on railroad rights - of - way [ J ]. Research results,2007,6 ( 19 ).
  • 6Marco P. daSilva. Automated railroad infrastructure tres- pass detection system performance guidelines [ C ]// A- merican Railway Engineering and Maintenance - of - way Association ( AREMA ) 2008 Annual Conference. Salt Lake City, UT,2008.
  • 7A notice about the announcement of " Dedicated regula-tions for the new 300 350 km per hour passenger railway design". Railway Stander Design, 2007 ( 7 ) : 120.
  • 8习呵.基于智能视频技术的铁路入侵检测[D].长沙:中南大学,2010.
  • 9Brox T, Bruhn A, Paenberg N, et al. High accuracy opti- cal flow estimation based on a theory for warping [ C ]// Computer Vision ECCV 2004. LNCS,3024:25 -36.
  • 10Lipton A, Fujiyoshi H,Patil R. Moving target classifica- tion and tracking from real - time video [ C ]// IEEE Workshop on Applications of Computer Vision. Prince- ton, NJ, 1998: 8- 14.

引证文献14

二级引证文献76

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部