Application of Bayesian network in analysis of reliability of fire protection system

doi:10.16265/j.cnki.issn1003-3033.2018.06.017

Abstract

Abstract: Based on the differences in the fire protection system work environments,two kinds of reliability were put forward.A Bayesian analysis program was developed for analyzing reliabilities of automatic fire protection systems.According to the fault analysis of the fire protection components,the Bayesian network nodes were identified,their probabilities were analyzed,and a Bayesian network of automatic sprinkler system was established in the case of automatic sprinkler system.A reliability comparison between different starting pump modes,shows that the wet automatic fire-extinguishing system has a higher reliability when the normally open contacts of low-pressure switch and the normally open contacts of the pressure switch are connected in series to form the AND circuit.

Key words: Bayesian network, reliability, automatic sprinkler system, probability of node, pump control method

CLC Number:

X913.4

CHEN Changfei, BAI Guoqiang. Application of Bayesian network in analysis of reliability of fire protection system[J]. China Safety Science Journal, 2018, 28(6): 97-102.

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