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Design of the early fire detection based fuzzy logic using multisensor

机译:基于多传感器的早期火灾探测的模糊逻辑设计

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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%.
机译:本研究的目的是创建一个基于模糊逻辑的早期火灾探测系统。本系统提供了火灾危险的早期预警,降低了伤亡的风险,能够实施到更广泛的规模或范围。这个系统包括 多传感器检测房间中的火灾,烟雾和温度.KY-026传感器作为火灾检测,MQ-9传感器作为烟雾检测和DS18B20传感器作为温度检测。传感器读数的结果由植入Sugeno的微控制器处理 模糊逻辑方法。传感器输入通过多个阶段处理,即模糊,规则评估和deffuzification。该系统的输出是1到5之间的条件值。使用MATLAB的Arduino模块之间的平均测试误差为0.99%。

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