Fire Alarm System Based on Multi-Sensor Bayes Network

被引：16

作者：

Chen Jing ^{[1
]}

Fu Jingqi ^{[1
]}

机构：

[1] Shanghai Univ, Sch Mech Engn & Automat, Shanghai 200072, Peoples R China

来源：

2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷

关键词：

Fire alarm system; Multi-sensor; Bayesian network; Probabilistic inference; Sensitivity Analysis;

D O I：

10.1016/j.proeng.2012.01.349

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Aimed at the problem of false alarm and missing alarm caused by information uncertainty existing in the fire alarm system, Bayesian network (BN) is proposed to analyze fire alarm system. The paper elaborates the internal logic relationship between the fire alarm and the physical-chemical characteristics generated in the process of fire burning by analyzing fire mechanism. Based on defining node variables in BN, multi-sensor Bayesian network model for the fire alarm system is established in Netica. Probabilistic inference and sensitivity analysis of finding node verified that analyzing fire probability through the multi-sensor Bayesian network model is feasible and effective. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology

引用

页码：2551 / 2555

页数：5

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