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A Fire Detection System Using Fuzzy Logic with Input Variables of Temperature and Smoke Density  

Hong Sung-Ho (충북대학교 안전공학과)
Kim Doo-Hyun (충북대학교 안전공학과)
Kim Sang-Chul (세명대학교 안전공학과)
Publication Information
Fire Science and Engineering / v.18, no.4, 2004 , pp. 42-51 More about this Journal
Abstract
This paper presents a study on the analysis of fire detection system using fuzzy logic with input variables of temperature and smoke density. The input variables for the fuzzy logic algorithm are measured by fire experiment of small scale with temperature detector and smoke detector. The antecedent part of fuzzy rules consists of temperature and smoke density, and the consequent part consists of fire possibility. Also the triangular fuzzy membership function is chosen for input variables and fuzzy rules to simplify computation. In order to calculate fuzzy values of such fuzzy system, a computer program is developed with Matlab based on graphics user interface. The experiment was conducted with paper and ethanol to simulate flaming fire and with plastic and sawdust to model smoldering fire. The results showed that the fire detection system presented here was able to diagnose fire very precisely. With the help of algorithms using fuzzy logic we could distinguish whether fire or not.
Keywords
Fire detection system; Fuzzy logic; Fire possibility;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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