Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Flame Image Processing System for Combustion Condition Monitoring of Pulverized Coal Firing Boilers in Thermal Power Plant

발전용 미분탄 보일러의 연소 상태 감시를 위한 화염 영상 처리 시스템

  • 백운보 (동의대학교 메카트로닉스공학과) ;
  • 신진호 (동의대학교 메카트로닉스공학과)
  • Published : 2006.11.01
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Abstract

The flame image processing and analysis system has been investigated for the optimal pulverized coal firing of thermal power plant, especially for lower nitrogen oxide generation and more safe operation. We aimed at gaining the relationship between burner flame image information and emissions of nitrogen oxide and unburned carbon in furnace utilizing the flame image processing methods, by which we quantitatively determine the condition of combustion on the individual humors. Its feasibility test was undertaken with a pilot furnace for coal firing, through which the system was observed to be effective for the monitoring of the combustion condition of pulverized coal firing boilers.

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References

  1. F. Griffiths and J. A. Barnard, 'Flame and combustion,' Blackie Academic & Professional, Glasgow, pp. 108-112, 141-142, 1995
  2. K. Kawamura, A. Saito, T. Yaegashi, and Y. Iwashita, 'Measurement of flame temperature distribution in engine by using a two color high speed shutter TV camera system,' SAE Technical Paper Series, 890320, 1989
  3. J. M. Char and J. H. Yeh, 'The study on propane flame temperature measurement with infrared technique,' Experimental Heat Transfer, Fluid Mechanics and Thermo dynamics, pp. 1122-1129, 1993
  4. A. C. Eckbreth, P. A. Bonczyk, and J. E. Verdick, 'Combustion diagnostics by laser raman and fluorescence techniques,' Energy combust. Sci., vol. 5, pp. 253-322, 1979 https://doi.org/10.1016/0360-1285(79)90011-X
  5. T. W. Lee, S. B. Lee, and J. Y. Ha, 'A study on a technique of the measurement of flame temperature and soot using the two-color method in diesel engines,' Trans. of the KSME (B), vol. 20, no. 9, pp. 3007-3014. 1996
  6. T. Y. Lee, S. H. Kim, and S. R. Lee, 'Flame diagnostics using image processing techniques,' KSPE, vol. 16, no. 7, pp. 196-202, 1999
  7. W. B. Baek, I. C. Hwang, and S. J. Lee, 'A study on the flame monitoring system development,' KSPE, vol. 21, no. 2, pp. 60-66, 2004
  8. R. K. Hanson, 'Combustion diagnostics: Planar imaging techniques,' Twenty First Symposium on Combustion, pp. 1677-1691, 1986
  9. J. Iouis and J. Galbiati, Machine Vision and Digital Image Processing Fundamentals, Prentice-Hall International, 1990