Gas prediction and optimization system in steelmaking

ZHANG Hai-ning; ZHU Rong; LU Zhi-fang; LI Gui-hai; MA Guo-hong

doi:10.13374/j.issn1001-053x.2011.s1.009

Volume 33 Issue S1

Jul. 2021

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ZHANG Hai-ning, ZHU Rong, LU Zhi-fang, LI Gui-hai, MA Guo-hong. Gas prediction and optimization system in steelmaking[J]. Chinese Journal of Engineering, 2011, 33(S1): 16-19. doi: 10.13374/j.issn1001-053x.2011.s1.009

Citation:

ZHANG Hai-ning, ZHU Rong, LU Zhi-fang, LI Gui-hai, MA Guo-hong. Gas prediction and optimization system in steelmaking[J]. Chinese Journal of Engineering, 2011, 33(S1): 16-19. doi: 10.13374/j.issn1001-053x.2011.s1.009

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Gas prediction and optimization system in steelmaking

doi: 10.13374/j.issn1001-053x.2011.s1.009

1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China;
2. Shijiazhuang iron & steel Co., Ltd., Shijiazhuang 050031, China

Received Date: 2011-08-01
Available Online: 2021-07-30

Abstract

Abstract

Factors associated with the generation and consumption volume of coal gas in steelmaking were studied through the gray correlation analysis method. A forecasting model of coal gas was established on the basis of the relationship of Shisteel's generation and consumption volume of coal gas with related influencing factors. An optimization system of coal gas was developed for realizing a rational application and distribution of coal gas.
- steelmaking,
- gas,
- prediction,
- optimization,
- mathematical models,
- neural networks