A building information modeling-based fire emergency evacuation simulation system for large infrastructures

被引：13
|
作者：
Ding, Zhikun [1 ,2 ,3 ,4 ]
Xu, Shengqu [3 ,5 ]
Xie, Xiaofeng [6 ]
Zheng, Kairui [7 ]
Wang, Daochu [6 ]
Fan, Jianhao [6 ]
Li, Hong [3 ]
Liao, Longhui [1 ,2 ,3 ,4 ]
机构：
[1] Shenzhen Univ, Key Lab Resilient Infrastruct Coastal Cities, Minist Educ, Shenzhen, Peoples R China
[2] Shenzhen Univ, Guangdong Lab Artificial Intelligence & Digital Ec, Shenzhen, Peoples R China
[3] Shenzhen Univ, Sino Australia Joint Res Ctr BIM & Smart Construct, Shenzhen, Peoples R China
[4] Shenzhen Univ, Shenzhen Key Lab Green, Efficient & Intelligent Construct Underground Metr, Shenzhen, Peoples R China
[5] Buji St Off Longgang Dist, Shenzhen, Peoples R China
[6] Guangzhou Construct Engn Co Ltd, Guangzhou, Peoples R China
[7] Tongyan Digital Intelligence Technol Chongqing Co, Chongqing, Peoples R China
来源：
RELIABILITY ENGINEERING & SYSTEM SAFETY | 2024年 / 244卷
基金：
中国国家自然科学基金;
关键词：
Large infrastructure; Building information modeling; Fire emergency; Evacuation simulation; Optimization; Subway station; INTELLIGENT FAULT-DIAGNOSIS; AGENT-BASED SIMULATION; SOCIAL FORCE MODEL; BEHAVIOR;
D O I：
10.1016/j.ress.2023.109917
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
During fire emergencies, people in large infrastructures are difficult to comprehend real-time fire dynamics and identify available evacuation routes, leading to lengthy evacuation time and unnecessary loss of life and property. This study aims to develop a fire emergency evacuation simulation system for large infrastructures. This system integrates the data from building information modeling platform, fire dynamics simulator, and evacuation simulation platform through customized developments. Real-time fire situation is transmitted to the evacuation simulation platform to assess the impact of dynamic fire spread on the evacuation of people. The behavioral and psychological characteristics of evacuees of different genders and age groups are considered in simulated evacuations. An algorithm for optimizing evacuation route planning is designed to improve the utilization of each evacuation exit and provide a visualization of evacuation routes. This proposed system was validated at a busy subway station in China. The evacuation efficiency increased by 12.87%. It is concluded that this system can provide real-time dynamic optimal evacuation route planning for enhanced emergency management.
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收藏
页数：15
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