Research of multi-sensor information fusion fire detection system

被引：3
|
作者：
Jiang, Yanlei [1 ]
机构：
[1] Henan Polytech Inst, Nanyang, Peoples R China
来源：
ENERGY DEVELOPMENT, PTS 1-4 | 2014年 / 860-863卷
关键词：
fire detection; multi-sensor; information fusion; fuzzy neural network;
D O I：
10.4028/www.scientific.net/AMR.860-863.2745
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
To reduce false fire alarms, combining with the character of fire signal, a kind of intelligent fire detection system of multi-sensor information fusion based on fuzzy neural network is proposed in this paper. This fire detector fuses three sensor data including temperature, smoke and CO air which have obvious character in fire and fire probability can be obtained by intelligent arithmetic of fuzzy neural network. As a result, The accuracy of the fire detection is improved effectively and the feasibility and validity of the system are proved by the simulation effects.
引用
收藏
页码：2745 / 2749
页数：5
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