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低能见度情况下地铁车站人员搜索方法研究
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  • 英文篇名:Study on the search method for occupants in metro stations under low visibility
  • 作者:张瑞 ; 陈绍宽 ; 许奇
  • 英文作者:ZHANG Rui;CHEN Shao-kuan;XU Qi;MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University;
  • 关键词:交通工程 ; 地铁车站 ; 低能见度 ; 人员搜索 ; 区域划分
  • 英文关键词:traffic engineering;;metro station;;low visibility;;person search;;regional division
  • 中文刊名:XFKJ
  • 英文刊名:Fire Science and Technology
  • 机构:北京交通大学交通运输部综合交通运输大数据应用技术交通运输行业重点实验室;
  • 出版日期:2019-05-15
  • 出版单位:消防科学与技术
  • 年:2019
  • 期:v.38;No.287
  • 语种:中文;
  • 页:XFKJ201905034
  • 页数:5
  • CN:05
  • ISSN:12-1311/TU
  • 分类号:89-93
摘要
针对低能见度情况下地铁车站人员搜索方法开展研究。相较于排面法,在初期救援人员较少的情况下,定向搜索法对人员的使用更具效率。构建定向搜索实验对搜索方法主要参数进行分析,结合多名搜救人员搜索同一目标区域的情形,提出基于定向搜索的搜索区域划分方法,利用大连某地铁站站台对该方法进行案例研究。结果表明,应用基于定向搜索的区域划分方法,各区域搜索任务用时均衡、总搜索效率较好。
        The study aims at a search method for occupants in metro stations under low visibility was carried out.Compared with the layout method,the directional search method is more efficient in the case of having fewer rescuers in the initial stage.A directional search experiment was proposed to analyze the main parameters of the method.A partition method for search sections based on directional search was then developed to support the search tasks when more than one rescuer was assigned to one section.The case studies on a metro station in Dalian were carried out.The results showed that the proposed partition method for search sections based on the directional search is able to balance the searching time within different sections and has better efficiency.
引文
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