Application of self-organizing control systems to optimize processes within complex dynamic systems used in mining operations
I.V. Samarin1, A.A. Romanova1, 2, 3
1 Gubkin University, Moscow, Russian Federation
2 Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation
3 Russian Technological University, Moscow, Russian Federation
Russian Mining Industry №2 / 2025 p.167-175
Abstract: Digitalization and automation of mining processes is becoming a key factor in raising the efficiency and sustainability of the mining industry. This research focuses on analyzing the integration of digital technologies and distributed control systems for optimization of lithium mining in the Russian Federation. The objective of the work is to design a holistic architecture of a digital control system for lithium mining and concentration processes, and to evaluate its impact on the performance, safety and environmental sustainability. The research methodology includes analysis of Big Data collected from sensors and detectors, modeling of the production processes, as well as a technical and economic assessment of the efficiency of digital solutions. Data on the key performance indicators from Russian lithium deposits for 2020-2023 serve as the empirical basis. The results show that introduction of a digital control system can increase the yield of commercial lithium by 15-25%, while decreasing the mining and processing costs by up to 30% and the production time by 20%. At the same time, a 15-20% reduction in carbon footprint and a 40-50% increase in the safety level are achieved. The results obtained are of high theoretical and practical significance, offering prospects for scaling up digital solutions to other rare earth minerals and ensuring sustainable development of the Russian mining industry
Keywords: digitalization of lithium mining, distributed control systems, mining safety, rare earth minerals, mining industry
Acknowledgments: This research was supported by the Russian Science Foundation, Project No. 23-78-01247, https://rscf.ru/project/23-78-01247/
For citation: Samarin I.V., Romanova A.A. Application of self-organizing control systems to optimize processes within complex dynamic systems used in mining operations. Russian Mining Industry. 2025;(2):167–175. (In Russ.) https://doi.org/10.30686/1609-9192-2025-2-167-175
Article info
Received: 05.02.2025
Revised: 17.03.2025
Accepted: 24.03.2025
Information about the authors
Ilya V. Samarin – Dr. Sci. (Eng.), Head of the Department of Automation of Technological Processes, Gubkin University, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Anastasia A. Romanova – Cand. Sci. (Econ.), Research Fellow at the Scientific and Educational Laboratory of the Cutting-edge Technologies, Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation; Associate Professor at the Department of Informatics and Computer Engineering for Food Production, Russian Technological University (ROSBIOTECH), Moscow, Russian Federation; 1st-year Master’s student, Gubkin University, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
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