上海交通大学学报(自然版) ›› 2012, Vol. 46 ›› Issue (12): 1945-1950.

• 自动化技术、计算机技术 • 上一篇    下一篇

基于多源信息可信度的高炉料面温度检测方法

安剑奇, 吴敏, 何勇, 曹卫华   

  1. (中南大学 信息科学与工程学院, 先进控制与智能自动化湖南省工程实验室, 长沙 410083)
  • 收稿日期:2012-05-25 出版日期:2012-12-29 发布日期:2012-12-29
  • 基金资助:

    国家高技术研究发展计划(863)项目(2012AA040307),国家自然科学基金资助项目(61203017),中南大学自由探索计划(2012QNZT061)

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

摘要:   摘要: 
针对高炉料面温度难以准确检测的问题,提出一种基于多源信息可信度的高炉料面温度在线检测方法.根据高炉3种异类检测信息的各自特点分别估计料面温度,采用可信度理论通过融合单一信息的估计值计算高炉料面温度.在某钢铁企业2 200 m3高炉应用结果表明,所提出的方法能够准确地检测高炉料面温度,为复杂冶金过程状态检测提供了新的解决思路.
关键词: 
高炉; 料面温度; 可信度; 信息融合
中图分类号:  TP 29
文献标志码:  A    

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