Design of the early fire detection based fuzzy logic using multisensor

Abstract

Abstract The purpose of this study is to create an early fire detection system based on fuzzy logic. This system provides early warning of fire hazards, reduces the risk of casualties, and is able to be implemented to a wider scale or scope. This system consists of a multisensor to detect fire, smoke and temperature in the room. KY-026 sensor as fire detection, MQ-9 sensor as smoke detection and DS18b20 sensor as temperature detection. The results of the sensor readings are processed by a microcontroller implanted with a Sugeno fuzzy logic method. Sensor input is processed through several stages, namely fuzzification, rule evaluation and deffuzification. The output from this system is a condition value between 1 and 5. The average error of testing between Arduino modules with Matlab is 0.99%.