Simulation mine digital twin teaching system and method based on virtual reality technology

By using virtual reality technology and digital twin systems, a virtual mine space is generated, equipment models are updated in real time, and trainees' operations are evaluated. This solves the environmental and assessment problems in traditional teaching, achieves high-fidelity training and timely feedback, and significantly improves teaching effectiveness.

CN120183265BActive Publication Date: 2025-11-07LIUPANSHUI VOCATIONAL & TECH COLLEGE +2
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Patent Information

Application Number
CN202510392816.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-03-28
Publication Date
2025-11-07
Estimated Expiration
2045-03-28

AI Technical Summary

Technical Problem

Traditional physical model teaching cannot fully simulate the real mine environment. It has limited space, cannot meet the diverse practical needs of students, the practical experience is not realistic, and it is difficult to accurately evaluate students' operations.

Method used

The digital twin teaching system based on virtual reality technology generates a virtual mine space, obtains virtual and physical model parameters of the working face equipment, uses machine learning algorithms to evaluate trainees' operations, and updates the digital twin in real time through sensors, achieving seamless linkage between the virtual and the real world.

Benefits of technology

It provides an immersive, highly realistic training environment to enhance the authenticity and intuitiveness of teaching, provide timely feedback on students' operations, and improve teaching effectiveness.

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Abstract

The application relates to the technical field of virtual reality, in particular to a simulation mine digital twin teaching system and method based on virtual reality technology. The method comprises the following steps: generating a virtual mine space on a cloud server; obtaining a virtual model of a coal mining device as a digital twin of the coal mining device; obtaining real-time model parameters of a physical model of the coal mining device operated by a student; performing online update processing on the digital twin of the coal mining device according to the real-time model parameters to obtain an updated digital twin; the cloud server maps a corresponding virtual three-dimensional model of the coal mining device in the virtual mine space according to the updated digital twin; and a machine learning algorithm evaluates the coal mining operation of the student according to the real-time model parameters. The application can enhance the real experience of the student during training.
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