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A Temperature Field Detection System for Blast Furnace Bad on Multi-Source Information Fusion 期刊名称： Intelligent Automation & Soft Computing英语短篇文章
什么是townhou作者： Jianqi An,Min Wu,Yong He
broken mirror>单词作者机构： School of Information Science and Engineering
caruso
年份： 2013年
baronet期号： 第4期
关键词： Blast Furnace; Burden Surface Temperature Field; Multi-Source
Information Fusion
祛痘小妙招
摘要：With regard to the difficulty in detecting the burden surface temperature of blast furnace (BF), an online detection system bad on multi-source information fusion is put forward in this paper. Firstly, a method for estimating the temperature of burden surface bad on heterogeneous single information is
propod. Then an approach of multi-source information fusion bad on reliability theory and Kalman Filter is prented. Lastly, the system implementation and industrial application is introduced. The result from a 2200 m3 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.
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