Collaborative Control Digital Twin Technology for Mines

DOI

10.2991/978-94-6463-736-6_13How to use a DOI?

Keywords

digital twin; intelligent control; information exchange; system digitization; potential obstacles

Abstract

Digital twin technology can provide strong technical support for data integration, collaborative management, and intelligent linkage of the global mining business system. By constructing a business dynamic collaborative control architecture based on digital twins, covering the physical object perception layer, virtual space simulation layer, and collaborative control decision-making layer, the virtual model construction and forward-looking static planning of the diversified business of “safety production operation” in mines can be achieved, significantly improving the effectiveness of decision-making. The current application status of digital twin technology in mining safety management, production, and operation management shows that it is expected to solve the interaction problem between the physical world, promote the intelligent construction of the entire life cycle of mines, and promote the high-quality development of the coal industry.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yue Cao
AU  - Yuhan Zhong
PY  - 2025
DA  - 2025/05/22
TI  - Collaborative Control Digital Twin Technology for Mines
BT  - Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025)
PB  - Atlantis Press
SP  - 96
EP  - 104
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-736-6_13
DO  - 10.2991/978-94-6463-736-6_13
ID  - Cao2025
ER  -