Research progress on digital twin technology for intelligent mines

XING Zhen

doi:10.13272/j.issn.1671-251x.2024010079

Volume 50 Issue 3

Mar. 2024

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XING Zhen. Research progress on digital twin technology for intelligent mines[J]. Journal of Mine Automation，2024，50（3）：22-34, 41. doi: 10.13272/j.issn.1671-251x.2024010079

Citation:

XING Zhen. Research progress on digital twin technology for intelligent mines[J]. Journal of Mine Automation，2024，50（3）：22-34, 41. doi: 10.13272/j.issn.1671-251x.2024010079

Citation:

XING Zhen. Research progress on digital twin technology for intelligent mines[J]. Journal of Mine Automation，2024，50（3）：22-34, 41. doi: 10.13272/j.issn.1671-251x.2024010079

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Research progress on digital twin technology for intelligent mines

doi: 10.13272/j.issn.1671-251x.2024010079

XING Zhen^{1, 2, 3
,}

1.
CCTEG Changzhou Research Institute, Changzhou 213015, China
2.
State Key Laboratory of Intelligent Coal Mining and Strata Control, Changzhou 213015, China
3.
Tiandi (Changzhou) Automation Co., Ltd., Changzhou 213015, China

Received Date: 2024-01-23
Rev Recd Date: 2024-03-11

Available Online: 2024-04-11

Abstract

Abstract

The application of digital twin technology in the field of intelligent mining needs to face many complex and special technological breakthroughs. This article elaborates on the applicability of digital twins in the field of intelligent mining, and summarizes the research and application status of digital twin technology in coal mine safety, production, and operation management. In terms of coal mine safety management, digital twin technology is mainly applied in disaster warning, risk control, disaster rescue, etc. In terms of coal mine production, digital twin technology is mainly applied in the overall mining working face area, monitoring and control of single machine mechanical equipment status, and predictive maintenance of mechanical equipment. Starting from five dimensions: physical entity, virtual entity, connection interaction, digital twin data, and functional services, this paper explores the key common problems that urgently need to be solved in the field of intelligent mining. The physical entity dimension needs to focus on breaking through the research and development of comprehensive perception and control equipment. The virtual entity dimension needs to conduct in-depth research on physical, behavioral, and rule models. The connection interaction dimension needs to tackle key technologies for underground 5G network transmission in coal mines. The twin data dimension needs to solve problems such as high-performance computing. The functional service dimension needs to develop simulation software and artificial intelligence algorithms to better adapt to the on-site environment. This article looks forward to the development trend of digital twin technology in the field of intelligent mining from the aspects of disaster prevention design, production system design, geological environment prediction in the planning, development, and construction stages of mines, disaster warning and prevention, optimization of production scheduling decisions, and full life cycle management of production equipment in the production and operation stage of mines. It is believed that fine twinning should be carried out for key components or equipment, core links, important or dangerous places, areas, etc.
- digital twin,
- intelligent mining,
- disaster warning and prevention,
- production scheduling optimization

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References(86)

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Research progress on digital twin technology for intelligent mines

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