A TEMPERATURE FIELD DETECTION SYSTEM FOR BLAST FURNACE BASED ON MULTI-SOURCE INFORMATION FUSION

摘要

With regard to the difficulty in detecting the burden surface temperature of blast furnace (BF), an online detection system based on multi-source information fusion is put forward in this paper. Firstly, a method for estimating the temperature of burden surface based on heterogeneous single information is proposed. Then an approach of multi-source information fusion based on reliability theory and Kalman Filter is presented. Lastly, the system implementation and industrial application is introduced. The result from a 2200 m~3 BF indicates that this system can directly and accurately reflect the real-time state of burden surface temperature distribution. This paper provides an effective solution to control and monitor the process of complicated metallurgy.