Design of Bayesian Network Assessment System on Underground Building Fire Risk
MA De-zhon · Harbin Ligong Daxue xuebao · 2013
Aiming at the problem that the uncertainty factors existing in underground building fire can affect the accuracy of fire risk quantitative assessment,a risk assessment method based on Bayesian network is proposed. Firstly,a Bayesian network model is established in accordance with the ideal assumption of underground building fire scene. Then,this model is modified considering the effect of uncertainty factors and used to calculate the probabilities of the fire in different development stages for fire risk assessment. Finally,a fire risk assessment system based on Bayesian network is developed using Visual Basic + Matlab mixed programming method. This system can be used by evaluation people with no rich professional knowledge,so it is convenient for a wide range of applications.