Application of fuzzy neural network for fire detecting system

被引：0
|
作者：
Liao Yanfen [1 ]
Ma Xiaoqian [1 ]
机构：
[1] S China Univ Technol, Elect Power Coll, Guangzhou 510640, Peoples R China
来源：
PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 3 | 2006年
关键词：
fire detect; fuzzy logic; artificial neural net; image characteristic;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
According to the fire image properties,;an intelligent fire detecting system based on multi-sensor data fusion technology was developed, which adopt CCD image sensor, temperature sensor and CO gas sensor. Three kinds of fire characteristic signals are obtained as the expanding rate of fire image area. CO gas density, and temperature. BP neural net technique was synthesized to realize the data fusion of different fire signals, and identify the fire into smoldering fire, developed fire and non-fire source. Then according to the fire properties the fuzzy logic rules were organized to identify the probability of fire danger. The intelligent fire detecting system can reach the aim of fire alarm and reducing mis-alarm.
引用
收藏
页码：1043 / 1048
页数：6
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