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| 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 |
| (School of Information Science and Engineering, Hunan Engineering Laboratory for Advanced Control and Intelligent Automation, Central South University, Changsha 410083, China) |
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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.
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Received: 25 May 2012
Published: 29 December 2012
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