Title :
Multi-sensors data fusion for precise measurement based on ZigBee WSN via fuzzy control
Author :
Sung, Wen-Tsai ; Chen, Chia-Hao ; Chen, Jui-Ho ; Liu, Yu-Feng
Author_Institution :
Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan
Abstract :
This paper presents a storehouse boundary warning system based on multi-sensor information fusion technology. This warning system has fire detection multiple sensor data fusion algorithm based on a fuzzy neural network to compute fire emergency probability. According to the network training and self-learning weight adaptation, the error is least between the output and instruction signal. This allows the network to produce the subjective function and extract the fuzzy rule automatically, thereby improving the warning system precision and intelligence. The methodology, system structure, GSM short message, and software system design are discussed.
Keywords :
alarm systems; fuzzy control; learning (artificial intelligence); neural nets; sensor fusion; wireless sensor networks; ZigBee WSN; fire detection multiple sensor data fusion algorithm; fire emergency probability; fuzzy control; fuzzy neural network; network training; self-learning weight adaptation; storehouse boundary warning system; Alarm systems; Computer errors; Computer networks; Fires; Fuzzy control; Fuzzy neural networks; Sensor fusion; Sensor systems; Wireless sensor networks; ZigBee; Fuzzy; boundary warning system; information fusion; neural network;
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
DOI :
10.1109/3CA.2010.5533622
