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

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

fire detection system;fuzzy logic;fuzzy rules

References

  1. M. Thuillard, 'New Methods for Reducing the Number of False Alarms in Fire Detection Systems', Fire Technology, Second Quarter, pp. 250-268, 1994
  2. Albert T. P., W. L. Chan, 'A Computer Vision Based and Fuzzy Logic Aided Security and Fire Detection System', Fire Technology, Third Quarter, pp. 341-356, 1994
  3. S. Y. Foo, 'A Fuzzy Logic Approach to Fire Detection in Aircraft Dry Bays and Engine Compartments', IEEE Trans. Industrial Electronics, Vol. 47, No.5, pp. 1161-1171, 2000 https://doi.org/10.1109/41.873226
  4. A. Kandel, G. Langholz, Fuzzy Control Systems, pp. 100-134, CRC Press, 1994
  5. 백동현, 소방전기시설론, pp. 32-49, 동일출판사, 1999
  6. E. H. Mamdani, 'Application of fuzzy logic to approximate reasoning using linguistic synthesis', IEEE Trans. Computers, Vol. 26, No. 12, pp. 1182-1191, 1977 https://doi.org/10.1109/TC.1977.1674779
  7. Shu Wang, 'A Trend Duration and Gradient Detector for Automatic Fire Detection', Fire Safety Journal, Vol. 27, pp. 239-248, 1996 https://doi.org/10.1016/S0379-7112(96)00035-5
  8. T. J. Ross, Fuzzy Logic with Engineering Applications, pp. 82-126 McGraw-Hill Inc., 1995
  9. E. Cox, Fuzzy System Handbook, pp. 260-265, Academic Press Inc., 1995