DocumentCode
1779020
Title
The On-Line Detection System of Gas Mixture Based on LabVIEW and MEMS Sensor Arrays
Author
Wang Ting ; Zhao Wenjie ; Yu Yang ; Shi Yunbo
Author_Institution
Higher Educ. Key Lab. for Meas. & Control Technol. & Instrumentations of Heilongjiang, Harbin Univ. of Sci. & Technol., Harbin, China
fYear
2014
fDate
18-20 Sept. 2014
Firstpage
716
Lastpage
720
Abstract
The qualitative and quantitative detection of the gas mixture has significance meaning in the field, such as environmental protection, industrial control and poison gas alarm. However, the traditional semiconductor gas sensors have the defect of cross-sensitivity when measure the gas mixture. We designed a four-array MEMS gas sensor in order to overcome this defect, it could form a high-dimensional response mode to the detected gas which used the cross-sensitivity characteristics of the gas sensors. Meanwhile, we designed the PC software that based on LabVIEW, it could driver hardware circuit to acquire the signal of MEMS gas sensor and take pattern recognition algorithms. Finally, the types and contents of the detected gas is obtained. Experimental results of CO, SO2, NO2 and Cl2 is proved that the system could achieve the on-line quantitative detection of mixed gas.
Keywords
carbon compounds; chlorine compounds; gas mixtures; gas sensors; microsensors; nitrogen compounds; sensor arrays; sulphur compounds; virtual instrumentation; CO; Cl2; LabVIEW based PC software; MEMS gas sensor; MEMS sensor arrays; NO2; SO2; cross-sensitivity characteristics; fourarray MEMS gas sensor; gas mixture; high-dimensional response mode; on-line detection system; pattern recognition algorithms; Gas detectors; Hardware; Micromechanical devices; Ports (Computers); Sensor arrays; Software; Gas mixture; Online detection; The gas sensors array of MEMS;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-6574-8
Type
conf
DOI
10.1109/IMCCC.2014.152
Filename
6995122
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