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《Fire Science and Technology》 2010-01
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Research of earlier fire detection based on LM arithmetic

LIU Er-li,ZHANG Ren-cheng,CUI Chang-cai,LIU Qing (College of Mechanical Engineering and Automation,Huaqiao University,Fujian Quanzhou 362021,China)  
Due to the weakness of traditional fire detection methods in detecting the fire,such as slow and inaccuracy under the interference of environment,an identification method for fire smoke based on information of the process of feature and the neural network method of fire detection is discussed.CO and CO2 volume fraction ratio,the ratio of increase in rates and characteristics of the acceleration are chosen as characteristic parameters of the process of fire.By designing a model of three layers back-propagation(BP) artificial neural network and using improved BP arithmetic-LM arithmetic,the network is learned and trained.6 materials of true fire and 3 materials of fake fire like candle,cigarette and LPG were tested.The experimental results show that,fire detection system based on BP artificial neural network can effectively identify the fire and improve the reliability of fire detection,as well as accuracy.
【Fund】: 基于智能无线传感器网络的火灾探测技术及系统研究(2009J01290);; 基于多传感器融合的电力设备局部放电在线监测诊断技术及系统研究(2009 H0031)
【CateGory Index】: TU892
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