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A Temperature Field Detection System for Blast Furnace Based on Multi-Source Information Fusion


Authors



Abstract

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 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.


Keywords


Pages

Total Pages: 10
Pages: 625-634

DOI
10.1080/10798587.2013.869121


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Published

Volume: 19
Issue: 4
Year: 2013

Cite this document


References

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JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

TWO YEAR CITATIONS PER DOCUMENT (SJR DATA): 0.993 (2018)
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."





Journal: 1995-Present


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