Research on the Application Scenario of Intelligent Method in Underground Mine Mining Operation

Jingning Zhang

doi:10.6919/ICJE.202507_11(7).0016

Authors

Jingning Zhang

DOI:

https://doi.org/10.6919/ICJE.202507_11(7).0016

Keywords:

Underground Mine Mining Operation; Application Scenario; Intelligent Method.

Abstract

With the acceleration of global industrialization, the demand for mineral resources continues to grow, but the traditional underground mining methods are facing problems such as low production efficiency, prominent security risks and serious environmental pollution. In this context, the application of intelligent methods to underground mining operations has become a key path for industry transformation and upgrading. This study focuses on the four core processes of underground mining: ore deposit development, ore block preparation, cutting and mining, and systematically analyzes the application scenarios and potential advantages of intelligent technology in these links. It is found that the technologies such as 3D geological modeling, intelligent shield machine, machine learning to optimize ore block division, automatic drilling robot, laser cutting and intelligent mining method selection can significantly improve production efficiency, ensure operation safety and reduce environmental impact. Taking a large copper mine in China as an example, after intelligent transformation, the daily average ore yield increased by 50%, the efficiency of mining preparation increased by 58%, the utilization rate of equipment increased by 24%, and the comprehensive cost per ton of ore decreased by 28.4%. However, the development of mine intelligence still faces technical difficulties such as limited data acquisition, high cost of intelligent equipment, difficult system integration and shortage of compound talents. In the future, we should deepen technological innovation, promote multidisciplinary integration, expand the whole process and life cycle management, strengthen personnel training and team building, and promote the transformation and upgrading of mine intelligence to a green, efficient and safe direction.

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