.png){kind=icon}
返回
Modelling dwelling fire development and occupancy escape using Bayesian network
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ress.2013.01.001.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The concept of probabilistic modelling under uncertainty within the context of fire and rescue through the application of the Bayesian network (BN) technique is presented in this paper. BNs are capable of dealing with uncertainty in data, a common issue within fire incidents, and can be adapted to represent various fire scenarios. A BN model has been built to study fire development within generic dwellings up to an advanced fire situation. The model is presented in two parts: part I deals with initial fire development and part II occupant response and further fire development. Likelihoods are assessed for states of human reaction, fire growth, and occupant survival. Case studies demonstrate how the model functions and provide evidence that it could be used for safety assessment, planning and accident investigation. Discussion is undertaken on how the model could be further developed to investigate specific areas of interest affecting dwelling fire outcomes. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Bayesian network
Dwellings
Human reaction
Fire growth/flashover
State of the occupant
期刊
R
IF:
11
论文数:
9.0K
被引数:
4.2W
机构
引用论文
分享收藏Influences of variables on ship collision probability in a Bayesian belief network model贝叶斯信念网络模型中变量对船舶碰撞概率的影响
PREAI
分享收藏Concentration fluctuations due to size-dependent gene expression and cell-size control mechanisms.png)
OAAI
IF0
OAAI分享收藏An analysis of fire sizes, fire growth rates and times between events using data from fire investigations使用火灾调查数据分析火灾规模，火灾增长率和事件之间的时间FIRE SAFETY JOURNAL
FIRE SAFETY JOURNALIF3.3
PREAI
分享收藏Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches过程设施的安全分析: 故障树和贝叶斯网络方法的比较
PREAI
分享收藏
查看更多内容