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Vol. 157, Issue 10, October 2013, pp. 31-35

 

Bullet

 

Gas Detection System Based on Multi-Sensor Fusion with BP Neural Network
 
Qiu-Xia LIU

Department of Physics, Heze University, Heze Shandong 274015, China
Tel.: 15963026267
E-mail: liuqiuxia66@163.com

 

Received: 23 September 2013   /Accepted: 25 September 2013   /Published: 31 October 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Using the sensor technology as the core, combining with the A/D technology, pattern recognition technology and other technologies, we have designed a new type of gas detection system. Gases are detected through BP neural network algorithm. The design of the system, the establishment of BP neural network and the improvement of its algorithm are given. The fusion technology of multi-sensor is expounded. Firstly, gases are detected by the gas sensor array. Secondly, the detected signals are sent to the preconditioning circuits of signals for corresponding process, and then they are sent to the pattern recognition circuit, signals are analyzed and recognized in the pattern recognition circuit. Finally, signals are input into the controlling circuits, relevant information are displayed or broadcast. Repeated experiments show that the gas detection system based on multi-sensor fusion with BP neural network can detect gases well, so it has higher application value.

 

Keywords: BP neural network, Gas sensor, Information fusion, Detection, MSP430.

 

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