期刊文献+

基于GIS技术的困难艰险山区高铁安全预警系统研究 被引量:4

Study of Safety Early-Warning System Based on GIS Technology Used in High-speed Railway in Difficult and Dangerous Mountain Area
下载PDF
导出
摘要 高铁安全事故易造成严重的伤亡、巨大的经济损失和不良的社会效应。困难艰险山区高铁作为我国运营风险最高的高铁,其安全管理尤为值得被高度重视。在充分研究国内外铁路安全预警系统的基础上,探讨基于GIS技术海量多源数据存储和可视化发布等优点,结合困难艰险山区高铁实际,建立困难艰险山区高铁安全预警系统。针对系统模糊综合评价模型权重难以确定的问题,引入基于AHP的模糊综合评价法,实现了预警模型与GIS技术的良好耦合。 The safety accident on high-speed railway is likely to cause serious casualties, huge economic loss and bad social effects. Besides, on a high-speed railway located in difficult and dangerous mountain area, there is the highest operation risk of all China's high-speed railways, therefore the safety management for it is particularly worthy of attention. In this study, after full investigation of railway safety early-warning systems at home and abroad, the massive multi-source data storage, the visual dissemination and other advantages based on GIS technology were discussed. And then in combination with the actual situation of high-speed railways in difficult and dangerous mountain areas, the safety early-warning system for high-speed railways in difficult and dangerous mountain areas was established in this study. Further on, focusing on the problem that it was hard to determine the model weight of fuzzy comprehensive evaluation of the system, this study introduced a AHP-based fuzzy comprehensive evaluation mathod. As a result, a good coupling between the early-warning model and GIS technology has been achieved.
出处 《铁道标准设计》 北大核心 2013年第11期25-30,共6页 Railway Standard Design
基金 国家科技支撑计划项目(2008BAG07B05)
关键词 山区高速铁路 安全预警 GIS AHP 模糊综合评价 high-speed railway in mountain area safety early-warning GIS AHP fuzzycomprehensive evaluation
  • 相关文献

参考文献13

二级参考文献62

共引文献69

同被引文献38

  • 1刘正伟,文中领,张海涛.云计算和云数据管理技术[J].计算机研究与发展,2012,49(S1):26-31. 被引量:170
  • 2冯立波,左国超,杨存基,杨润标,罗桂兰,张梅.基于物联网的农村污水监测系统设计研究[J].环境工程学报,2015,9(2):670-676. 被引量:24
  • 3彭华,张鸿儒.铁路路基病害类型、机理及检测与整治技术[J].工程地质学报,2005,13(2):195-199. 被引量:39
  • 4Zhang Liyan,Wang Fuzhang,Li Ping.Study on the framework of urban mass transit intelligent comprehensive monitoring system[C].IEEE GCIS,2009.
  • 5Divya K,Jeyalatha S.Key technologies in cloud computing[C].Proceedings of 2012 International Conference on Cloud Computing Technologies,Applications and Management,ICCCTAM 2012,2012:196-199.
  • 6Lammel Ralf.Google's Map reduce programming model Revisited.[2010-11-28].http:∥userpages.uni-koblenz.de/~laemmel/Mapreduce/paper.pdf.
  • 7De Candia Giuseppe,Hasturun Deniz,Jampani Madan,et al.Dynamo:Amazon's highly available key-value store(2007).[2010-11-28].http://dl.acm.org/citation.cfm?id=1294281.
  • 8中国网.铁总:2015年我国快速铁路网将覆盖50万人以上城市[EB/OL].[2014-12-25].http://news.china.com.cn/txt/2015432/12/content_34806974.htm.
  • 9中国物联网发展研究中心.中国物联网产业发展年度蓝皮书(2012)[R].无锡:中国物联网发展研究中心.2012.
  • 10周傲英,金澈清,王国仁,李建中.不确定性数据管理技术研究综述[J].计算机学报,2009,32(1):1-16. 被引量:185

引证文献4

二级引证文献21

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