Research on Fire Risk Assessment and Control Methods for Urban Bridges Based on Fuzzy-Bn

Abstract

According to the characteristics of fuzziness and uncertainty in fire risk assessment of urban Bridges, this paper proposes a fire risk assessment model of urban Bridges based on fuzzy bayesian network. First of all, the factors are summarized into three sub-networks: risk source, risk carrier and disaster prevention and reduction control state. Then, the prior probability of bayesian network is determined through data investigation and expert scoring. Finally, the use of bayesian network to evaluate example project, get the bridge highway to fire risk level for III. The results of this paper are consistent with the actual situation, which verifies the practicability and effectiveness of fuzzy bayesian network risk assessment.