Application of artificial intelligence and the future of big data analytics in the mining industry
M.V. Rylnikova1, D.A. Klebanov1, M.A. Makeev2, M.V. Kadochnikov1
1 Institute of Comprehensive Exploitation of Mineral Resources of Russian Academy of Sciences, Moscow, Russian Federation
2 “Piklema” LLC, Moscow, Russian Federation
Russian Mining Industry №3 / 2022 р. 89-92
Abstract: The article identifies factors that indicate the relevance of creating new tools for efficient and safe mining of solid minerals based on advances in predictive analytics methods. These methods take into account the trends in big data analysis in subsoil management. An example is given on implementation of a new class of information systems, i.e. the "digital advisers", which use information from dispatching systems, MES, ERP of the mining operations as the input data to create such systems. Cases of practical implementation of the digital advisers are analyzed. A reference economic assessment of implementing the digital adviser for mine dump truck drivers is provided. Trends in development of such analytical systems are identified based on the Big Data analysis.
Keywords: mining industry, data analysis, Big Data, analytical systems, digital advisor, efficiency, safety, mine transport dispatching system
Acknowledgments: The research was financially supported by the Russian Science Foundation Grant No.22-17-00142
For citation: Rylnikova M.V., Klebanov D.A., Makeev M.A., Kadochnikov M.V. Application of artificial intelligence and the future of big data analytics in the mining industry. Russian Mining Industry. 2022;(3):89–92. https://doi.org/10.30686/1609-9192-2022-3-89-92
Article info
Received: 22.05.2022
Revised: 13.06.2022
Accepted: 14.06.2022
Information about the authors
Marina V. Rylnikova – Doctor of Technical Sciences, Professor, Head of Department, Institute of Comprehensive Exploitation of Mineral Resources of Russian Academy of Sciences, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dmitry A. Klebanov – Candidate of Technical Sciences (PhD in Engineering), Head of Laboratory of Intelligent Systems and Digital Technologies , Institute of Comprehensive Exploitation of Mineral Resources of Russian Academy of Sciences, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Mikhail A. Makeev – Managing Director, “Piklema» LLC, Moscow, Russian Federation
Mikhail V. Kadochnikov – Candidate of Technical Sciences (PhD in Engineering), Research Associate at the Laboratory of Intelligent Systems and Digital Technologies, Institute of Comprehensive Exploitation of Mineral Resources of Russian Academy of Sciences, Moscow, Russian Federation
References
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