Journal of Shanghai Jiaotong University ›› 2012, Vol. 46 ›› Issue (12): 1945-1950.

• Automation Technique, Computer Technology • Previous Articles     Next Articles

Temperature Detection Method of Blast Furnace Burden Surface Based on the Reliability of Multi-source Information

 AN  Jian-Qi, WU  Min, HE  Yong, CAO  Wei-Hua   

  1. (School of Information Science and Engineering, Hunan Engineering Laboratory for Advanced Control and Intelligent Automation, Central South University, Changsha 410083, China)
  • Received:2012-05-25 Online:2012-12-29 Published:2012-12-29

Abstract: Focusing on the difficulty of precisely detecting blast furnace (BF) burden surface temperature, a novel temperature detection method of BF burden surface based on the reliability of multi-source information was proposed.  Firstly, the burden surface temperature is estimated respectively according to the individual features of three kinds of singular heterogeneous information; then the BF burden surface temperature is calculated by fusing the results estimated by the three kinds of singular information based on reliability theory. The application on a 2 200 m3 B F in some steel enterprise shows the method proposed can realize the real-time and precise detection of burden surface temperature, which eventually provides an effective solution for the status monitoring of complicated metallurgy process.  

Key words: blast furnace, burden surface temperature, reliability, information fusion