Title :
A Combined Intelligent Fire Detector with BP Networks
Author :
Jiang, GuoPing ; Shang, Feng ; Wang, Fang ; Liu, XiJie ; Qiu, Tianshuang
Author_Institution :
Dept. of Electron. & Inf. Eng., DaLian Univ. of Technol.
Abstract :
The application of the artificial neural network (ANN) is one of the most important developments in the fire alarming technology. This paper proposes a intelligent fire detection system combined with a smoke sensor, a CO sensor and a thermal sensor. An ANN is also used to process signals from the above three sensors. By using the proposed structure, we reduce both false alarm and missing detection rates and improve the dependability and the reliability of the fire detection
Keywords :
backpropagation; chemical sensors; control engineering computing; fires; neural nets; signal processing; smoke detectors; temperature sensors; CO sensor; artificial neural network; backpropagation network; fire alarming technology; intelligent fire detection system; intelligent fire detector; missing detection rates; signal processing; smoke sensor; thermal sensor; Artificial intelligence; Artificial neural networks; Fires; Gas detectors; Intelligent networks; Intelligent sensors; Intelligent systems; Sensor systems; Smoke detectors; Thermal sensors; Combined intelligent fire detector; Neural network; Signal processing;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714106
