Dynamic Control of Adsorption Sensitivity for Photo-EMF-Based Ammonia Gas Sensors Using a Wireless Network

被引:4
作者
Vashpanov, Yuriy [1 ]
Choo, Hyunseung [1 ,2 ]
Kim, Dongsoo Stephen [3 ]
机构
[1] Sungkyunkwan Univ, Intelligent HCI Convergence Res Ctr, Suwon 440746, Gyenggi Do, South Korea
[2] Sungkyunkwan Univ, Sch Informat & Commun Engn, Dept Interact Sci, Suwon 440746, Gyenggi Do, South Korea
[3] Indiana Univ, Sch Engn & Technol, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA
关键词
photo-EMF-based gas sensors; adsorption sensitivity; sensor simulation; wireless sensor network;
D O I
10.3390/s111110930
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper proposes an adsorption sensitivity control method that uses a wireless network and illumination light intensity in a photo-electromagnetic field (EMF)-based gas sensor for measurements in real time of a wide range of ammonia concentrations. The minimum measurement error for a range of ammonia concentration from 3 to 800 ppm occurs when the gas concentration magnitude corresponds with the optimal intensity of the illumination light. A simulation with LabView-engineered modules for automatic control of a new intelligent computer system was conducted to improve measurement precision over a wide range of gas concentrations. This gas sensor computer system with wireless network technology could be useful in the chemical industry for automatic detection and measurement of hazardous ammonia gas levels in real time.
引用
收藏
页码:10930 / 10939
页数:10
相关论文
共 22 条
[1]  
[Anonymous], NITROGEN
[2]  
[Anonymous], Technical data sheets: LR white embedding medium
[3]  
[Anonymous], 2011, NI WIRELESS SENSOR N
[4]  
Boyes W, 2010, INSTRUMENTATION REFERENCE BOOK, 4TH EDITION, P1
[5]  
Chambers Paul., 2011, Optoelectronics- Devices and Applications, P192
[6]  
Fraden J, 2010, HANDBOOK OF MODERN SENSORS: PHYSICS, DESIGNS, AND APPLICATIONS, FOURTH EDITION, P1, DOI 10.1007/978-1-4419-6466-3
[7]  
GAVRILOVSKA L, 2011, APPL MULTIDISCIPLINA, P154
[8]   Sparsity-Based Spatial Interpolation in Wireless Sensor Networks [J].
Guo, Di ;
Qu, Xiaobo ;
Huang, Lianfen ;
Yao, Yan .
SENSORS, 2011, 11 (03) :2385-2407
[9]  
Hahn BH, 2010, ESSENTIAL MATLAB FOR ENGINEERS AND SCIENTISTS, 4TH EDITION, P1
[10]  
*INFOMINE RES GROU, 2009, AMM MARK RES CIS FOR, P11