The large-scale blast furnace ironmaking system, characterized by extremely complicated mechanism, multiphase/field coupling, dynamical working circumstances and unbalanced data set, is facing several problems in information detecting, object modelling, safety manufacturing and operation controlling. How to keep blast furnace in a secure and steady status, i.e., ensuring high efficiency and safety of ironmaking process under various conditions has become a major issue in operational control of industrial system. Many scholars have tried to improve the operation control level of large-scale blast furnace. However, the existing research mainly focuses on individual processes of the blast furnace, lacking studies on intelligent coordinated optimization of the entire ironmaking process, including raw material yard, sintering, and blast furnace operations. In order to help researchers to have a better understanding of the ironmaking process, we have made a comprehensive review of the current developments and future trends in the research of large-scale blast furnace. In this paper, we first introduce the backgrounds and characteristics of ironmaking process, as well as analyze the challenges in different research fields. Then, key technologies and current progress of information perception, feature modelling, fault diagnosis and optimal control in large-scale blast furnace are summarized. Furthermore, the future developments and potential applications of blast furnace ironmaking process are outlined in the end.
| Published in |
Industrial Engineering (Volume 7, Issue 1)
This article belongs to the Special Issue Intelligent Optimization of High Energy Consumption Processes |
| DOI | 10.11648/j.ie.20230701.12 |
| Page(s) | 7-20 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Blast Furnace, Information Perception, Process Modelling, Fault Diagnosis, Optimal Control
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APA Style
Heng Zhou. (2023). Developments and Challenges in High-Performance Operation Control of Large-Scale Blast Furnace. Industrial Engineering, 7(1), 7-20. https://doi.org/10.11648/j.ie.20230701.12
ACS Style
Heng Zhou. Developments and Challenges in High-Performance Operation Control of Large-Scale Blast Furnace. Ind. Eng. 2023, 7(1), 7-20. doi: 10.11648/j.ie.20230701.12
AMA Style
Heng Zhou. Developments and Challenges in High-Performance Operation Control of Large-Scale Blast Furnace. Ind Eng. 2023;7(1):7-20. doi: 10.11648/j.ie.20230701.12
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Download@article{10.11648/j.ie.20230701.12,
author = {Heng Zhou},
title = {Developments and Challenges in High-Performance Operation Control of Large-Scale Blast Furnace},
journal = {Industrial Engineering},
volume = {7},
number = {1},
pages = {7-20},
doi = {10.11648/j.ie.20230701.12},
url = {https://doi.org/10.11648/j.ie.20230701.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ie.20230701.12},
abstract = {The large-scale blast furnace ironmaking system, characterized by extremely complicated mechanism, multiphase/field coupling, dynamical working circumstances and unbalanced data set, is facing several problems in information detecting, object modelling, safety manufacturing and operation controlling. How to keep blast furnace in a secure and steady status, i.e., ensuring high efficiency and safety of ironmaking process under various conditions has become a major issue in operational control of industrial system. Many scholars have tried to improve the operation control level of large-scale blast furnace. However, the existing research mainly focuses on individual processes of the blast furnace, lacking studies on intelligent coordinated optimization of the entire ironmaking process, including raw material yard, sintering, and blast furnace operations. In order to help researchers to have a better understanding of the ironmaking process, we have made a comprehensive review of the current developments and future trends in the research of large-scale blast furnace. In this paper, we first introduce the backgrounds and characteristics of ironmaking process, as well as analyze the challenges in different research fields. Then, key technologies and current progress of information perception, feature modelling, fault diagnosis and optimal control in large-scale blast furnace are summarized. Furthermore, the future developments and potential applications of blast furnace ironmaking process are outlined in the end.},
year = {2023}
}
TY - JOUR T1 - Developments and Challenges in High-Performance Operation Control of Large-Scale Blast Furnace AU - Heng Zhou Y1 - 2023/09/06 PY - 2023 N1 - https://doi.org/10.11648/j.ie.20230701.12 DO - 10.11648/j.ie.20230701.12 T2 - Industrial Engineering JF - Industrial Engineering JO - Industrial Engineering SP - 7 EP - 20 PB - Science Publishing Group SN - 2640-1118 UR - https://doi.org/10.11648/j.ie.20230701.12 AB - The large-scale blast furnace ironmaking system, characterized by extremely complicated mechanism, multiphase/field coupling, dynamical working circumstances and unbalanced data set, is facing several problems in information detecting, object modelling, safety manufacturing and operation controlling. How to keep blast furnace in a secure and steady status, i.e., ensuring high efficiency and safety of ironmaking process under various conditions has become a major issue in operational control of industrial system. Many scholars have tried to improve the operation control level of large-scale blast furnace. However, the existing research mainly focuses on individual processes of the blast furnace, lacking studies on intelligent coordinated optimization of the entire ironmaking process, including raw material yard, sintering, and blast furnace operations. In order to help researchers to have a better understanding of the ironmaking process, we have made a comprehensive review of the current developments and future trends in the research of large-scale blast furnace. In this paper, we first introduce the backgrounds and characteristics of ironmaking process, as well as analyze the challenges in different research fields. Then, key technologies and current progress of information perception, feature modelling, fault diagnosis and optimal control in large-scale blast furnace are summarized. Furthermore, the future developments and potential applications of blast furnace ironmaking process are outlined in the end. VL - 7 IS - 1 ER -
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