Coal mine safety training mixed reality interactive guidance method

By acquiring real-time operation data points from miners, using a dynamic behavior mapping algorithm for training iteration and dataset partitioning, identifying fuzzy nodes, calculating response rates, and updating guidance nodes, the fixed process of interactive guidance in existing coal mine safety training is solved, realizing personalized and dynamically optimized interactive guidance, and improving training effectiveness and safe operation capabilities.

CN122284837APending Publication Date: 2026-06-26SHANXI YUNSHENG TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHANXI YUNSHENG TECHNOLOGY CO LTD
Filing Date
2026-05-15
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing coal mine safety training methods suffer from limitations in interactive guidance, including fixed procedures that cannot be dynamically adjusted, inability to address individual miner differences, and a lack of effective classification and analysis of operational data, resulting in poor training effectiveness.

Method used

By acquiring miners' real-time operation data points, using a dynamic behavior mapping algorithm for training iteration, dividing the dataset, identifying fuzzy nodes, calculating response rates, and updating guidance nodes, dynamic optimization of interactive guidance is achieved, providing personalized guidance in combination with mixed reality environments.

Benefits of technology

It achieves precision and effectiveness in interactive guidance, can promptly correct improper operations, strengthen weak links, adapt to changes in miners' operating habits, and improve training quality and safe operating capabilities.

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Abstract

This invention relates to the field of coal mine safety training technology and discloses a mixed reality interactive guidance method for coal mine safety training. The method first acquires real-time operation data points of miners and uses these data points to complete the training iteration of a dynamic behavior mapping algorithm to achieve interactive guidance. In any training iteration phase, the current guidance node and a preset number of reference training iteration phases are acquired. Based on the proximity of the real-time operation data points to the nodes in each phase, the data points are assigned to the corresponding node datasets. Fuzzy nodes are obtained based on the intersection relationship between the current dataset of the guidance node and other node reference datasets. The response rate of each fuzzy node is calculated, and the training of the fuzzy nodes and guidance nodes is updated based on the response rate. Finally, the updated interactive guidance content is displayed in a mixed reality environment. This method breaks through the limitations of traditional fixed guidance, achieving dynamic, accurate, and personalized interactive guidance, improving training quality and miners' safe operation capabilities, and reducing the risk of safety accidents.
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