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钒钛矿钢铁生产流程数字孪生技术发展与展望

刘伟韬 刘功国 刘书含 孙文强

钢铁钒钛2025,Vol.46Issue(5):33-45,13.
钢铁钒钛2025,Vol.46Issue(5):33-45,13.DOI:10.7513/j.issn.1004-7638.2025.05.004

钒钛矿钢铁生产流程数字孪生技术发展与展望

Development and prospect of digital twin technology in vanadium-titani-um ore-based iron and steel production process

刘伟韬 1刘功国 2刘书含 1孙文强1

作者信息

  • 1. 东北大学冶金学院,辽宁沈阳 110819||生态环境部生态工业重点实验室,辽宁沈阳 110819
  • 2. 攀钢集团攀枝花钢铁研究院有限公司,钒钛资源综合利用国家重点实验室,四川攀枝花 617000
  • 折叠

摘要

Abstract

Vanadium-titanium magnetite,as a strategic resource,its efficient smelting is of vital import-ance to China's steel industry.During the smelting process of vanadium-titanium magnetite,problems such as low recovery rate of titanium in the ore,insufficient intelligence of the process flow,high diffi-culty in optimizing blast furnace smelting technology,and lack of comprehensive energy intelligent management are faced,which affect its product upgrading and capacity improvement.Digital twin tech-nology can help achieve process optimization,equipment research and development,and intelligent control throughout the entire production process of vanadium-titanium ore steel by building an intelli-gent system that integrates the virtual and the real.At present,the relevant research is still in the explor-atory stage,with few research achievements and a lack of systematicness.For this purpose,the connota-tion and development history of digital twins were introduced.The research hotspots of digital twins in the production process of vanadium-titanium ore steel were systematically sorted out.The relevant re-search results and engineering practices were summarized,and the future development trends of digital twin technology were prospected,providing research ideas for subsequent researchers to promote the application of digital twin technology and enhance the utilization of characteristic vanadium-titanium re-sources and the intelligent manufacturing level of steel in China.

关键词

数字孪生/钒钛矿/钢铁生产流程/智能制造/能源智慧管理

Key words

digital twin/vanadium-titanium ore/steel production process/intelligent manufacturing/in-telligent energy management

分类

矿业与冶金

引用本文复制引用

刘伟韬,刘功国,刘书含,孙文强..钒钛矿钢铁生产流程数字孪生技术发展与展望[J].钢铁钒钛,2025,46(5):33-45,13.

基金项目

国家自然科学基金(52334008). (52334008)

钢铁钒钛

OA北大核心

1004-7638

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