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.
Ammonia Market Research in the CIS and Forecast of Its Development in the Financial Crisis, 4th ed ed.; INFOMINE Research Group: Moscow, Russia, 2009; pp. 11–12.
[3]
Technical Data Sheets TGS826. Available online: http://www.figarosensor.com/ (accessed on 18 November 2011).
[4]
National Dr？ger PAC III Single Gas Monitor for Ammonia. Available online: www.ashtead-technology.com/ (accessed on 18 November 2011).
[5]
Technical Data of TA-2100 Ammonia Gas Detector. Available online: http://www.mil-ram.com/ (accessed on 18 November 2011).
[6]
Technical Data of MQ137 Ammonia Gas Sensors. Available online: http://winsensor.en.alibaba.com/ (accessed on 18 November 2011).
[7]
Gavrilovska, L.; Krco, S.; Milutinovic, V.; Stojmenovic, I.; Trobec, R. Application and Multidisciplinary Aspects of Wireless Sensor Networks; Springer: London, UK, 2011; pp. 154–196.
[8]
Instrumentation. Reference Book, 4th ed; Boyes, W., Ed.; Elsevier: Amsterdam, The Netherlands, 2010.
[9]
Park, D.H.; Park, J.W. Wireless sensor network-based greenhouse environment monitoring and automatic control system for dew condensation prevention. Sensors 2011, 11, 3640–3651.
[10]
Wireless Personal Monitor for Toxic Gases ToxiRAE Pro. Available online: http://www.raesystems.com/ (accessed on 18 November 2011).
Naik, R.; Singh, J.; Le, H.P. Intelligent Communication Module for Wireless Networks Biosensors. In Biosensors; Serra, P.A., Ed.; InTech: Vukovar, Croatia, 2010; pp. 225–240.
[13]
Guo, D.; Qu, X.; Huang, L.; Yao, Y. Sparsity-based spatial interpolation in wireless sensor networks. Sensors 2011, 11, 2385–2407.
[14]
Ji？i, J. Principles of Chemical Sensors, 2nd ed ed.; Springer Science + Business Media, LLC: New York, NY, USA, 2009.
[15]
Fraden, J. Handbook of Modern Sensors, Physics, Designs, and Applications, 4th ed ed.; Springer Science + Business Media, LLC: New York, NY, USA, 2010.
[16]
Hahn, B.H.; Valentine, D.T. Essential MATLAB for Engineers and Scientists, 4th ed ed.; Elsevier: Amsterdam, The Netherlands, 2010.
[17]
Ponce-Cruz, P.; Ramirez-Figueroa, F.D. Intelligent Control Systems with LabVIEW？; Springer: London, UK, 2010.
[18]
Vashpanov, Y.A.; Smyntyna, V.A. Adsorption Sensitivity of Semiconductors; Astroprint: Odessa, Russia, 2005; p. 26. (in Russian).
[19]
The DAQ Assistance Express VI. Available online: http://zone.ni.com/devzone/cda/tut/p/id/4656 (accessed on 18 November 2011).
[20]
NI Wireless Sensor Network Architectures. Available online: http://sine.ni.com/np/app/main/p/ap/imc/lang/en/pg/1/sn/n17:imc,n21:11297/fmid/487 (accessed on 18 November 2011).
[21]
Nitrogen. Available online: http://en.wikipedia.org/wiki/Nitrogen (accessed on 18 November 2011).
[22]
Chambers, P.; Lyons, W.B.; Sun, T.; Grattan, K.T.V. Applications and Optoelectronic Methods of Detection of Ammonia. In Optoelectronics—Devices and Applications; Predeep, P., Ed.; InTech: Rijeka, Croatia, 2011; pp. 192–193.
