A Wireless Electronic Nose System Using a Fe2O3 Gas Sensing Array and Least Squares Support Vector Regression

Sensors

Kai Song²  Qi Wang²  Qi Liu²  Hongquan Zhang¹ 

[1] Biochemistry Center, No.49 Institute of China Electronics Technology Group Corporation, Harbin 150001, China; E-Mails:;School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China; E-Mails:

关键词: wireless electronic nose;    combustible gas detection;    Fe₂O₃ gas sensor;    humidity insensitivity;    DSP;    least square support vector regression;   

DOI  :  10.3390/s110100485

来源: mdpi

【 摘 要 】

This paper describes the design and implementation of a wireless electronic nose (WEN) system which can online detect the combustible gases methane and hydrogen (CH₄/H₂) and estimate their concentrations, either singly or in mixtures. The system is composed of two wireless sensor nodes—a slave node and a master node. The former comprises a Fe₂O₃ gas sensing array for the combustible gas detection, a digital signal processor (DSP) system for real-time sampling and processing the sensor array data and a wireless transceiver unit (WTU) by which the detection results can be transmitted to the master node connected with a computer. A type of Fe₂O₃ gas sensor insensitive to humidity is developed for resistance to environmental influences. A threshold-based least square support vector regression (LS-SVR)estimator is implemented on a DSP for classification and concentration measurements. Experimental results confirm that LS-SVR produces higher accuracy compared with artificial neural networks (ANNs) and a faster convergence rate than the standard support vector regression (SVR). The designed WEN system effectively achieves gas mixture analysis in a real-time process.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.