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Comprehensive evaluation of the blast furnace status based on data mining and mechanism analysis

  • Yifan Hu , Heng Zhou EMAIL logo , Shun Yao , Mingyin Kou EMAIL logo , Zongwang Zhang , Li Pang Wang and Shengli Wu
Published/Copyright: September 21, 2021
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International Journal of Chemical Reactor Engineering
From the journal International Journal of Chemical Reactor Engineering Volume 20 Issue 2

Abstract

As an industry with high energy consumption and high emission, the iron and steel industry not only drives the economic development, but also brings serious environmental pollution problems. In order to achieve green and low-carbon steel manufacturing, reducing CO2 emissions in the blast furnace ironmaking process has become the current mainstream, of which the accurate judgment of the blast furnace status is a key to achieve it. Firstly, combining theory with production experience, this research established 6 evaluation systems of the blast furnace and extracted 22 evaluation parameters from them through mathematical statistics. After completing the data preprocessing with the help of Python, the potential elements in the initial variables were excavated and a comprehensive evaluation model of the blast furnace status was developed by Factor Analysis. Based on this, the status of the blast furnace were divided into four degrees, i.e. good, normal, poor and warning and the rationality was verified by comparison to the production logs. By means of comparing the law of data distribution under different furnace status, the optimal range of operation parameters was summarized. This study is expected to provide guidance for realizing energy conservation and consumption reduction of the blast furnace.

Keywords: CO2 Emission; data mining; factor analysis; optimization of parameters; the blast furnace
Corresponding authors: Heng Zhou and Mingyin Kou, State Key Laboratory of Advanced Metallurgy, School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China, E-mail: ,

Funding source: National Natural Science Foundation of China

Award Identifier / Grant number: 51904023

Award Identifier / Grant number: 51804027

Funding source: Fundamental Research Funds for the Central Universities

Award Identifier / Grant number: QNXM20210011

Funding source: State Key Laboratory of Advanced Metallurgy

Award Identifier / Grant number: KF20-07

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The authors would like to thank the National Natural Science Foundation of China (Grant Number: 51904023, 51804027), the Fundamental Research Funds for the Central Universities (Grant Number: QNXM20210011) and the project of State Key Laboratory of Advanced Metallurgy (KF20-07) for their financial supports.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/ijcre-2021-0160).

Received: 2021-06-15
Accepted: 2021-09-09
Published Online: 2021-09-21

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/ijcre-2021-0160
Keywords for this article
CO2 Emission; data mining; factor analysis; optimization of parameters; the blast furnace

Articles in the same Issue

  1. Frontmatter
  2. Articles
  3. CFD research on the influence of geometry characteristic on flow pattern and the transition mechanism in Rushton turbine stirred vessels
  4. Insight on micro bubbling mechanism in a 2D fluidized bed with Group D particles
  5. Parametric optimization of a coiled agitated vessel with TiO2/water nanofluid
  6. Highly efficient photo-degradation of cetirizine antihistamine with TiO2-SiO2 photocatalyst under ultraviolet irradiation
  7. DEM study of the angle of repose and porosity distribution of cylindrical particles with different lengths
  8. Analysis of flow pattern characteristics and strengthening mechanism of co-rotating and counter-rotating mixing with double impellers on different string shafts
  9. Comprehensive evaluation of the blast furnace status based on data mining and mechanism analysis
  10. Performance enhancement of commercial ethylene oxide reactor by artificial intelligence approach
  11. Study of catalytic hydrogenation performance for the Pd/CeO2 catalysts
  12. Performance of flow distribution in a microchannel parallel flow gas cooler with stepped protrusion depth header
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