Ukrainian Journal of Physical Optics 


Number  1, Volume  2, March  2001

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Optical measurement system for real-time estimation of gas pollutants' concentration based on artificial neural network  
1Wojcik W., 2Gotra Z., 1Duk M., 1Kotyra A., 1Przylucki S.W., 1Smolarz A.

1 Department of Electronics, Technical University of Lublin, 38A Nadbystrzycka St., 
  20-618 Lublin, Poland
2 Lviv State Technical University, 12 Bandery St., Lviv, Ukraine

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In this paper we present optoelectronic measurement system for monitoring the industrial gas pollutants. The system consists of a source of light, an optical fiber as a data transmission link, a spectrometer, an optical detection system and a neural network unit for a real-time spectral data processing. We have paid the major attention to the neural network structure and its properties in gas recognition and gas concentration estimation.

Key words: neural network, power industry, spectroscopy, environmental pollution

doi 10.3116/16091833/2/1/46/2001

References
1. Par Ragnarson, 1994. "Optical Techniques for Measurements of Atmospheric Trace Gases" Lund Raports on Atomic Physics LRAP-152, Lund Institute of Technology, Department of Physics, April.
2. Keller Paul E , Richard T Kozues,  Kangas Lars J, 1993. Procceding of the 8-th Conference on Real-Time Computer Applications in Nuclear, Particle and Plasma Physics.
3. Krolopp WJ,   Wójcik W,  Kotyra A, Przylucki S, Smolarz A, 1998. Reports of the Lodz Polytechnick, Electrical 90: 538.
4. Kohonen T, 1995. Self-Organizing Maps, Spriger Series in Information Sciences.
5. Xiang Ouyang, Philip L Varghese, 1989.  Appl. Optics 38.

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