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25-021
Concept of a Digital Twin for an Underground Laboratory at the
Reiche Zeche Mine Utilizing Artificial Intelligence
Erik Farys
TU Bergakademie Freiberg, Germany
Jana Thomas
Clausthal University of Technology, Germany
Ali Ahmadi
Clausthal University of Technology, Germany
Angela Binder
Clausthal University of Technology, Germany
Eleni Gerolymatou
Clausthal University of Technology, Germany
Dhananjeyan Jeyaraj
Clausthal University of Technology, Germany
Mario Kolling
Clausthal University of Technology, Germany
Oliver Langefeld
Clausthal University of Technology, Germany
Wilfried Ließmann
Clausthal University of Technology, Germany
Michael D. Martin
Clausthal University of Technology, Germany
Helmut Mischo
TU Bergakademie Freiberg, Germany
Nils Nöther
fibrisTerre Systems GmbH, Berlin, Germany
Andreas Rausch
Clausthal University of Technology, Germany
Tugba Sen
Clausthal University of Technology, Germany
Thomas Ulrich
Clausthal University of Technology, Germany
Stefan von der Mark
fibrisTerre Systems GmbH, Berlin, Germany
Stefan Wittek
Clausthal University of Technology, Germany
Jens-André Paffenholz
Clausthal University of Technology, Germany
ABSTRACT
This paper outlines the MOVIE project, which is dedi-
cated to the development of a digital twin for an under-
ground laboratory at the research and education mine
“Forschungs- und Lehrbergwerk Reiche Zeche” in Freiberg
(Germany). Data from induced rock deformations and
temperature fluctuations is collected using fiber-optic sen-
sors. The objective of the project is to establish a virtual
laboratory for real-time analysis of the interactions between
geology, geomechanics, geometry and ventilation. This will
be achieved by integrating models from these disciplines
with artificial intelligence, creating a sophisticated hybrid
model. The insights gained will enhance safety and effi-
ciency in mining through improved digital planning
options, ultimately contributing to more effective resource
management and operational decision-making in different
mining environments.
MOTIVATION AND STATE OF THE ART
The use of underground space not only plays a central role
in the extraction of raw materials, but the storage of energy
and materials is increasingly explored [1], [2]. Similarly,
25-021
Concept of a Digital Twin for an Underground Laboratory at the
Reiche Zeche Mine Utilizing Artificial Intelligence
Erik Farys
TU Bergakademie Freiberg, Germany
Jana Thomas
Clausthal University of Technology, Germany
Ali Ahmadi
Clausthal University of Technology, Germany
Angela Binder
Clausthal University of Technology, Germany
Eleni Gerolymatou
Clausthal University of Technology, Germany
Dhananjeyan Jeyaraj
Clausthal University of Technology, Germany
Mario Kolling
Clausthal University of Technology, Germany
Oliver Langefeld
Clausthal University of Technology, Germany
Wilfried Ließmann
Clausthal University of Technology, Germany
Michael D. Martin
Clausthal University of Technology, Germany
Helmut Mischo
TU Bergakademie Freiberg, Germany
Nils Nöther
fibrisTerre Systems GmbH, Berlin, Germany
Andreas Rausch
Clausthal University of Technology, Germany
Tugba Sen
Clausthal University of Technology, Germany
Thomas Ulrich
Clausthal University of Technology, Germany
Stefan von der Mark
fibrisTerre Systems GmbH, Berlin, Germany
Stefan Wittek
Clausthal University of Technology, Germany
Jens-André Paffenholz
Clausthal University of Technology, Germany
ABSTRACT
This paper outlines the MOVIE project, which is dedi-
cated to the development of a digital twin for an under-
ground laboratory at the research and education mine
“Forschungs- und Lehrbergwerk Reiche Zeche” in Freiberg
(Germany). Data from induced rock deformations and
temperature fluctuations is collected using fiber-optic sen-
sors. The objective of the project is to establish a virtual
laboratory for real-time analysis of the interactions between
geology, geomechanics, geometry and ventilation. This will
be achieved by integrating models from these disciplines
with artificial intelligence, creating a sophisticated hybrid
model. The insights gained will enhance safety and effi-
ciency in mining through improved digital planning
options, ultimately contributing to more effective resource
management and operational decision-making in different
mining environments.
MOTIVATION AND STATE OF THE ART
The use of underground space not only plays a central role
in the extraction of raw materials, but the storage of energy
and materials is increasingly explored [1], [2]. Similarly,