- Abstract:
- The article examines the current state and prospects for organizing the use of artificial intelligence (AI) in ensuring the safety of mining operations. The relevance of the study is due to the high level of production risks in the mining industry and the need to improve the efficiency of industrial safety systems in the context of digital transformation. An analysis has been carried out of the theoretical foundations of AI development, the specifics of ensuring the safety of mining operations, and the role of intelligent technologies in managing production risks. Modern practices of AI implementation at Russian and foreign mining enterprises are considered, including predictive analytics, computer vision, digital twins, and decision support systems. The main problems and limitations of AI application have been identified, such as insufficient digital infrastructure, a shortage of personnel, the high cost of implementation, and issues related to regulatory and legal regulation. Promising directions for the development of AI in the mining industry have been substantiated, including the creation of autonomous systems, the development of digital ecosystems, and the improvement of the organizational mechanism for implementation. Recommendations have been developed to enhance the effectiveness of AI application in the industrial safety system.
- Keywords:
- artificial intelligence; mining industry; industrial safety; digitalization; predictive analytics; computer vision; digital twin; risk management; production automation; intelligent systems
- For citation:
- Atrushkevich V.A., Popov S.M. The current state and prospects of organizing the use of artificial intelligence in mining safety issues. Mine Surveying and Subsurface Use. 2026; 26 (5): 65-73. (In Russ.). https://doi.org/10.56195/20793332-202626-5-65-73
- Information about the authors:
-
- Victor A. Atrushkevich – Dr. Sci. (Eng.), Professor, Leading Research Scientist of the Department of Design Theory of Subsoil Development, Institute of Comprehensive Exploitation of Mineral Resources Russian Academy of Sciences, Moscow, Russian Federation; e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it. - Sergey M. Popov – Dr. Sci. (Econ.), Leading Researcher at the Laboratory 2.3 of Mining Systems Modeling, Institute of Comprehensive Exploitation of Mineral Resources Russian Academy of Sciences, Moscow, Russian Federation; https://orcid.org/0000-0003-0689-3260; e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it.
- Victor A. Atrushkevich – Dr. Sci. (Eng.), Professor, Leading Research Scientist of the Department of Design Theory of Subsoil Development, Institute of Comprehensive Exploitation of Mineral Resources Russian Academy of Sciences, Moscow, Russian Federation; e-mail:
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