Modeling Research for Blast Furnace Smelting Process Based on
 Smelting Mechanism, Operation Data and Expert Knowledge

doi:10.16183/j.cnki.jsjtu.2018.10.002

Abstract

Abstract: Blast furnace smelting process is characterized by strong nonlinearity, large time delay and under regulation, and its interior is a complex dynamic system with multiphase and multi field coupling. Therefore, it is difficult to achieve a reliable blast furnace model by only mechanism modeling or simply data driven modeling. Based on the measured data of a new type of blast furnace sensor, and combining the blast furnace smelting mechanism, operation data and expert experience, several local models of blast furnace have been built. The models have been tested by actual data of blast furnace and the results are running on the No. 2 BF of Liuzhou Iron and Steel Company.

Key words: blast furnace smelting, modeling, data, quality of molten iron, burden distribution control

CLC Number:

TP 18

LI Junpeng,HUA Changchun,GUAN Xinping. Modeling Research for Blast Furnace Smelting Process Based on Smelting Mechanism, Operation Data and Expert Knowledge[J]. Journal of Shanghai Jiaotong University, 2018, 52(10): 1142-1154.

References

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Modeling Research for Blast Furnace Smelting Process Based on Smelting Mechanism, Operation Data and Expert Knowledge

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