A methodological approach to designing a Big Data collection system in open-pit mining of coal deposits
D.A. Klebanov1 , M.A. Makeev1, A.V. Vlasov2
1 Institute of Comprehensive Exploitation of Mineral Resources of Russian Academy of Sciences, Moscow, Russian Federation
2 SGP LLC, Moscow, Russian Federation
Russian Mining Industry №1 / 2025 p. 72-81
Abstract: The article examines various approaches to designing a Big Data collection systems for mining systems based on the analysis of the differences between mining coal and ore deposits. Specific features of handling Big Data are provided openpit mining of different types of solid minerals. Special aspects of data collection are highlighted for effective management of the coal-mining companies. A schematic diagram of the coal material flows is given, on the basis of which principles of data handling and digitalization of technological processes are described. Coal mining enterprises have their own specific features of the organization of technological processes, which drives the formation of requirements for the systems and methods of data collection and processing. The typical specific tasks include management of coal material flow, including its quality, starting from the mine face and up to dispatch of the finished product, creation of the material flow system, availability of different types and payload classes of open-pit transportation. In addition to the type of mineral deposits, it is necessary to consider the technological infrastructure (wireless data transmission systems, distributed server capacity, etc.), as well as the requirements of the related systems, including environmental and social demands, which vary depending on the geography and type of the solid mineral deposit.
Keywords: Big Data, mining of coal deposits, digitalization, digital transformation, dispatching, remote dispatch centers
Acknowledgments: The research was supported by the Russian Science Foundation Grant No. 22-17-00142.
For citation: Klebanov D.A., Makeev M.A., Vlasov A.V. A methodological approach to designing a Big Data collection system in open-pit mining of coal deposits. Russian Mining Industry. 2025;(1):72–81. (In Russ.) https://doi.org/10.30686/1609-9192-2025-1-72-81
Article info
Received: 22.11.2024
Revised: 09.01.2025
Accepted: 09.01.2025
Information about the authors
Dmitry A. Klebanov – Cand. Sci. (Eng.), Head of Laboratory of Intelligent Systems and Digital Technologies, Institute of Comprehensive Exploitation of Mineral Resources of Russian Academy of Sciences, Moscow, Russian Federation; https://orcid.org/0000-0002-3289-9212; e-mail: Klebanov_d@ipkonran.ru
Mikhail A. Makeev – Research Associate, Laboratory of Intelligent Systems and Digital Technologies, Institute of Comprehensive Exploitation of Mineral Resources of Russian Academy of Sciences, Moscow, Russian Federation
Anton V. Vlasov – Cand. Sci. (Eng.), Head of Engineering and Research Center, SGP LLC, Moscow, Russian Federation
References
1. Ганиева И.А., Шепелев Г.В. Первые результаты реализации КНТП «Чистый уголь – Зеленый Кузбасс». Уголь. 2023;(8):62– 65. https://doi.org/10.18796/0041-5790-2023-8-62-65 Ganieva I.A., Shepelev G.V. Early results of KNTP “Clean coal – Green Kuzbass” implementation. Ugol’. 2023;(8):62–65. (In Russ.) https://doi.org/10.18796/0041-5790-2023-8-62-65
2. Попова К.А. Оптимизация планирования производственно-сбытовой деятельности угольных предприятий как инструмент повышения ее эффективности. Екатеринбург; 2022. 143 с. Режим доступа: https://elar.urfu.ru/handle/10995/109400 (дата обращения: 19.12.2024).
3. Рыльникова М.В., Клебанов Д.А., Макеев М.А., Кадочников М.В. Применение искусственного интеллекта и перспективы развития аналитических систем больших данных в горной промышленности. Горная промышленность. 2022;(3):89–92. https://doi.org/10.30686/1609-9192-2022-3-89-92 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. (In Russ.) https://doi.org/10.30686/1609-9192-2022-3-89-92
4. Захаров В.Н., Клебанов Д.А., Макеев М.А., Радченко Д.Н. Анализ методов подготовки и преобразования информации, поступающей в хранилища данных для эффективного управления горнотехнической системой. Горная промышленность. 2023;(5S):10–17. https://doi.org/10.30686/1609-9192-2023-5S-10-17 Zakharov V.N., Klebanov D.A., Makeev M.A., Radchenko D.N. Analysis of methods to prepare and transform information entering data repositories for effective management of the mining system. Russian Mining Industry. 2023;(5S):10–17. (In Russ.) https://doi.org/10.30686/1609-9192-2023-5S-10-17
5. Бугакова А. Построение единых систем управления НСИ. Управляем предприятием. 2011;(8):1–5. Режим доступа: https://upr.ru/upload/iblock/84f/bugakova.pdf (дата обращения: 19.12.2024). Bugakova A. Designing unified management systems for regulatory and reference information. Upravlyaem Predpriyatiem. 2011;(8):1–5. (In Russ.) Available at: https://upr.ru/upload/iblock/84f/bugakova.pdf (accessed: 19.12.2024).
