Application of Flame Image Recognition-Based Information Fusion Technology to Roller Kiln Temperature Detection

Article Preview

Abstract:

Roller kiln is a kind of advanced fast sintering kiln. In production process of roller kiln, materials sintering of burning zone is the key working procedure which affects product quality directly. Hence, the temperature detection process of burning zone became the key link in roller kiln control system. This paper proposed a kind of fusion method of both temperature point detection and flame image recognition of imitating ‘artificial-look-fire’. Flame image processing-based temperature detection scheme was also given. In the scheme, expert system fuses temperature data detected by the thermocouple with flame image data of burning zone detected by CCD so as to obtain the actual temperature of burning zone. The method proposed greatly improves the temperature detection precision of burning zone working conditions. The experimental results show that the proposed method is feasible and effective.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

769-774

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. T. Li, Y. N. Wang, and C. F. Zhang: Acta Automatica Sinica Vol. 29(2003), pp.11-12 (In Chinese).

Google Scholar

[2] P. Sun , T. Y. Chai, X. J. Zhou and H. Yue: Alumina kiln firing flame image recognition system. Journal of Chemical Engineering, Vol. 59(2008), pp.1839-1842 (In Chinese).

Google Scholar

[3] J. X. Fang, H. F. Talor, and H. S. Choi: Microwave and Optical Technology Letters Vol. 18(1998), pp.209-211.

Google Scholar

[4] D. Baskent and B Barshen: The International Journal of Robotics Research Vol. 18(1999), pp.788-808.

Google Scholar

[5] Y. N. Wang and S. T. Li: Control and Decision Vol. 16(2001), pp.518-52 (In Chinese).

Google Scholar

[6] N.C. Haering, R. J. Qian, and M. I. Sezan: IEEE Trans on Circle System Video Technology, Vol. 10(2000), pp.857-868.

Google Scholar

[7] M. R. Naphade, T. Kristjansson, and B. Frey: Probabilistic multimedia objects: a novel approach to video indexing and retrieval in multimedia systems. IEEE International Conference on Image Processing (ICIP'98), Chicago, Illinois, USA, 1998, pp.536-540.

DOI: 10.1109/icip.1998.999041

Google Scholar