The Research of Fire Detector Based on Information Fusion Technology
Traditional fire detection technology is based on a single parameter, fault alarm and leakage alarm is very common. This paper studies the application of single chip computer and multi-sensor information fusion technology for design of an intelligent fire detector. This fire detector adopts single chip microcomputer to be control core, fusing three sensor data including temperature, smoke and CO air which have obvious character in fire, fire probability obtained by intelligent arithmetic of fuzzy neural network. The availability and reliability of intelligent fire alarm system arithmetic simulation results shows that the system can distinguish between smoldering fire and open flame with high precision, and system has high sensitivity, reducing errors and false alarm rate, reaching the desired purpose.
information fusion neural network futty inference
Haiqun Wang Yugui Zhang Ling Meng Zhikun Chen
College of Electrical Engineering Hebei United University Tangshan Hebei, China
国际会议
哈尔滨
英文
3678-3681
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）