Fire Detection Data Fusion System Based on Neural Network Technology
(0) There are some problems in traditional fire detection methods, such as lower-garde intelligence, high mis-warming rate, delay-warming etc. In this paper, multi-information parameter in the early fire was regarded as early information of fire. This information was trained by neural network technology. Result would be gain with data fusion technology. And the result of data fusion could be confirmed as bases of fire and apply in the fire detection. A 3-layers data fusion structure is used in the neural network. In this fire detecting system, the fire experiential characteristic and the fire data-fitting characteristics of fire signal data are used by the fuzzy inference system to get the last fire probability. Finally simulation experiments are done for typical flaming fire, typical smoldering fire and the fire under typical disturbance signals in environment. And satisfactory results are obtained.
fire detection data fusion neural network fuzzy reasoning
Pei Yanan Gan Fangcheng Xu Xiangzheng Wang Donghai
School of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang 330013 Information engineering derpartment of Nanchang district, Jiangxi University of Science and Technolo
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）