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

查看全文 作　　者：Yuling [1,2]Hu;Xiwei [3,4]Liu

机构地区：[1]School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture,Beijing 100044,China;[2]Beijing Key Laboratory of Intelligent Processing for Building Big Data,Beijing 100044,China;[3]State Key Laboratory fo Management and Control for Complex Systems,Institute of Automation Chinese Academy of Sciences,Beijing 100190,China;[4]Qingdao Academy of Intelligent Industries,Qingdao 266109,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》索引2018年第5卷第6期,共9页

基　　金：supported by Beijing University of Civil Engineering and Architecture Nature Science(ZF16078,X18067) 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. 关键词：高层建筑火灾救灾工作分组疏散策略

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

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