Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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The Development of Fire Detection System Using Fuzzy Logic and Multivariate Signature

퍼지논리 및 다중신호를 이용한 화재감지시스템의 개발

  • Hong, Sung-Ho (Department of Safety Engineering, Chungbuk National University) ;
  • Kim, Doo-Hyun (Department of Safety Engineering, Chungbuk National University)
  • Published : 2004.03.01
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Abstract

This study presents an analysis of comparison of P-type fire detection system with fuzzy logic-applied fire detection system. The fuzzy logic-applied fire detection system has input variables obtained by fire experiment of small scale with K-type temperature sensor and optical smoke sensor. And the antecedent part of fuzzy rules consists of temperature and smoke density, and the consequent part consists of fire probability. Also triangular fuzzy membership function is used for input variables and fuzzy rules. To calculate the final fire probability a centroid method is introduced. A fire experiment is conducted with controlling wood crib layer, cigarette to simulate actual fire and false alarm situation. The results show that peak fire probability is 25[%] for non-fire and is more than 80[%] for fire situation, respectively. The fuzzy logic-applied fire detection system suggested here is able to distinguish fire situation and non-fire situation very precisely.

Keywords

References

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