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Optimization of Grouping Evacuation Strategy in High-rise Building Fires Based on Graph Theory and Computational Experiments

机译:基于图论和计算实验的高层建筑火灾分组疏散策略的优化

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摘要

It is difficult to rescue people from outside, and emergency evacuation is still a main measure to decrease casualties in high-rise building fires. To improve evacuation efficiency, a valid and easily manipulated grouping evacuation strategy is proposed. Occupants escape in groups according to the shortest evacuation route is determined by graph theory. In order to evaluate and find the optimal grouping, computational experiments are performed to design and simulate the evacuation processes. A case study shown the application in detail and quantitative research conclusions is obtained. The thoughts and approaches of this study can be used to guide actual high-rise building evacuation processes in future.
机译:从外部救援人员很困难,紧急疏散仍然是减少高层建筑火灾中人员伤亡的主要措施。为了提高疏散效率,提出了一种有效且易于操作的分组疏散策略。图论确定乘员按照最短疏散路线成群逃逸。为了评估和找到最佳分组,进行了计算实验以设计和模拟疏散过程。案例研究详细地说明了该应用,并获得了定量研究结论。这项研究的思想和方法可以用来指导将来实际的高层建筑疏散过程。

著录项

  • 来源
    《自动化学报(英文版)》 |2018年第6期|1104-1112|共9页
  • 作者

    Yuling Hu; Xiwei Liu;

  • 作者单位

    School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;

    Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing 100044, China;

    State Key Laboratory for Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;

    Qingdao Academy of Intelligent Industries, Qingdao 266109, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 04:26:57
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