Intelligent Temperature Control of Ceramic Kiln Based on Data Fusion Technology

Article Preview

Abstract:

At first, according to the feature of ceramic kiln, this paper studies a fundamental data fusion method which is applied to ceramic kiln temperature control system. This method is used to solve the parameter estimation problem in measurement noise environment. Then, it proposes a kind of intelligent control structure of ceramic kiln temperature control system based on multi-sensor data fusion technology. At last, this data fusion method is applied to intelligent temperature control system of ceramic kiln. The result shows that the method proposed is effective and feasible.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

177-180

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] G. S. Yang and L. H. Dou, in: Data Fusion and Its Application[M]. Beijing: Weapon Industry Press, (2004).

Google Scholar

[2] D. Baskent and B. Barshen, in: Surface Profile Determination from Multi-sensor Data Using Morphological Processing[J]. The International Journal of Robotics Research, 1999, 18(8): 788- 808.

DOI: 10.1177/02783649922066565

Google Scholar

[3] M. L. Zhang, Q. H. Meng and S. X. Peng, in: Mobile robot recognition of the perceived environment based on multi-sensor[J]. Journal of Tianjin University,1998, 31(4): 466-470.

Google Scholar

[4] G. Kinoshita, Y. Ikhsan and Y. Osumi, in: Object location based on sensor fusion of vision and tactual sensing[J]. Advanced Robotics, 2000, 13(6): 633-646.

DOI: 10.1163/156855399x01855

Google Scholar

[5] Y. N. Wang, and S. T. Li., in: Multi-sensor data fusion and its application review[J]. Control and Decision, 2001, 16(5): 518~525.

Google Scholar

[6] S. M. Schwezel, in: Parameter estimation for filtering chaotic time serie[C]. Proc. 1CASSp'96, 1996, 3.

Google Scholar

[7] L.K. Zeng, M. Zhang, and H. Y. He, in: Ceramic kiln control and artificial neural network[J]. China Ceramics,2000, 36(1): 33-36.

Google Scholar

[8] B. U. Toreyin, Y. Dedeoglu and G. Ugur, in: Computer vision based method for real-time fire and flame detection[J]. Pattern Recognition Letters, vol. 27, January 2006, pp.49-58.

DOI: 10.1016/j.patrec.2005.06.015

Google Scholar

[9] W. B. Hou, J.W. Peng and C.Y. Chen., in: A new image-based real-time flame detection method using color analysis[C]. Proc of Networking, Sensing and Control 2005, Tucson, Arizona, USA, 2005: 100-105.

DOI: 10.1109/icnsc.2005.1461169

Google Scholar