Development of a model to generate a risk map in a building fire

作     者：CHU YanYan, ZHANG Hui, SHEN ShiFei, YANG Rui & QIAO LiFeng Center for Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China 

作者机构：Center for Public Safety Research Department of Engineering Physics Tsinghua University 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2010年第53卷第10期

页      面：2739-2747页

核心收录：

学科分类：0810[工学-信息与通信工程] 03[法学] 08[工学] 0837[工学-安全科学与工程] 0805[工学-材料科学与工程（可授工学、理学学位）] 0838[工学-公安技术] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0306[法学-公安学] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.70833003) China Postdoctoral Science Foundation(Grant No.20100470114) the Tsinghua-UTC Research Institute for Inte-grated Building Energy,Safety and Control Systems,and the United Technology Research Center 

主　　题：building fire risk map cluster analysis fire simulation 

摘      要：Fire simulations and sensors are widely used in building fires,various data such as temperature,CO and CO2 concentration,visibility can be obtained by sensors and sensor-based simulation. It is important to generate a risk map based on such data so that we can use it to estimate safety of the building. In this paper,we propose a method to generate a dynamical,integrated risk map using sensor readings in a building fire. Such risk evaluation model is developed using similarity comparison between the space state and dangerous state by a likelihood distance calculating and data grouping from a two-step cluster method. The risk evaluation model considers the integrated influence on the occupants in the zone from high temperature,lack of oxygen,toxic and harmful gases and shows the relative fire risk map at certain time. Based on the simulation study,it is proved that multi-factor fire risk analysis would be more objective and accurate than single factor and two-factor risk analysis and the fire risk evaluation model can generate a risk map and provide the classification information and the whole building risk statistic results to support evacuation command and control.