Integration of distributed cloud computing to improve coal mining efficiency and monitoring of mining processes

DOI: https://doi.org/10.30686/1609-9192-2025-2-82-90

Читать на русскоя языкеK.V. Kharchenko, A.Zh. Zubets, E.V. Razumova, E.I. Moskvitina, E.I. Voronova
Financial University under the Government of the Russian Federation, Moscow, Russian Federation
Russian Mining Industry №2 / 2025 p.82-90

Abstract: Integration of distributed cloud computing (DCC) offers new opportunities to improve the efficiency and safety of coal mining. The research aims to develop a distributed cloud computing architecture for monitoring of the mining processes and optimization of mining operations. The methodology includes Big Data analysis, mathematical modeling and machine learning. The empirical base consisted of indicators from 15 coal mines in the Russian Federation for 2018-2023 (4.5 million records). Implementation of the distributed cloud computing provides a 25-40% increase in labor productivity, a 30-50% reduction in equipment downtime, and a 95% reduction in accident rates. A 20-30% decrease in the mining costs is achieved along with a 15-25% reduction in the carbon footprint. The level of the process automation increases up to 70-85%. Recommendations are developed for upscaling the distributed cloud computing in the coal industry. The results obtained are significant for the digital transformation of the mining industry.

Keywords: distributed cloud computing, coal industry, mining automation, Industrial Internet of Things, Big Data analytics, digital twin of a deposit

For citation: Kharchenko K.V., Zubets A.Zh., Razumova E.V., Moskvitina E.I., Voronova E.I. Integration of distributed cloud computing to improve coal mining efficiency and monitoring of mining processes. Russian Mining Industry. 2025;(2):82–90. (In Russ.) https://doi.org/10.30686/1609-9192-2025-2-82-90

Article info

Received: 11.01.2025

Revised: 27.02.2025

Accepted: 03.03.2025

Information about the authors

Konstantin V. Kharchenko – Cand. Sci. (Sociol.), Associate Professor of the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Anton Zh. Zubets – Cand. Sci. (Econ.), Associate Professor at the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Ekaterina V. Razumova – Cand. Sci. (Econ.), Senior Lecturer at the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Ekaterina I. Moskvitina – Cand. Sci. (Econ.), Assistant at the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Ekaterina I. Voronova – Assistant at the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

References

1. Razovskiy Yu. V., Saveleva E. Yu., Ulitskiy O. A., Sukhina E. N. Ecological superprofit management in subsoil use. Eurasian Mining. 2019;(2);27–29. https://doi.org/10.17580/em.2019.02.06

2. Братарчук Т.В., Гладышев А.Г., Лукичев К.Е., Данилькевич М.А., Комов В.Э. Разработка и внедрение цифровых двойников для оптимизации и устойчивого развития угольной промышленности России. Уголь. 2024;(11):108–116. Режим доступа: https://ugolinfo.ru/index.php?article=202411108 (дата обращения: 20.12.2024). Bratarchuk T.V., Gladyshev A.G., Lukichev K.E., Danilkevich M.A., Komov V.E. Development and implementation of digital twins for optimization and sustainable development of the coal industry in Russia. Ugol’. 2024;(11):108–116. (In Russ.) Available at: https://ugolinfo.ru/index.php?article=202411108 (accessed: 20.12.2024).

3. Жданеев О.В., Власова И.М. Вызовы и приоритеты цифровой трансформации угольной отрасли. Уголь. 2023;(1):62–69. https://doi.org/10.18796/0041-5790-2023-1-62-69 Zhdaneev O.V., Vlasova I.M. Digital transformation of the coal industry. Ugol’. 2023;(1):62–69. (In Russ.) https://doi.org/10.18796/0041-5790-2023-1-62-69

4. Плакиткин Ю.А., Плакиткина Л.С. Цифровизация экономики угольной промышленности России – от «Индустрии 4.0» до «Общества 5.0». Горная промышленность. 2018;(4):22–30. Режим доступа: https://mining-media.ru/ru/article/newtech/13932-tsifrovizatsiya-ekonomiki-ugolnoj-promyshlennosti-rossii-ot-industrii94-0-do-obshchestva-5-0 (дата обращения: 20.12.2024). Plakitkin Yu.A., Plakitkina L.S. Digitization of the Russian coal sector economy – from Industry 4.0 to Society 5.0. Russian Mining Industry. 2018;(4):22–30. (In Russ.) Available at: https://mining-media.ru/ru/article/newtech/13932-tsifrovizatsiyaekonomiki-ugolnoj-promyshlennosti-rossii-ot-industrii94-0-do-obshchestva-5-0 (accessed: 20.12.2024).

5. Куликова А.А., Овчинникова Т.И. К вопросу снижения геоэкологических рисков на горнодобывающих предприятиях. Горный информационно-аналитический бюллетень. 2021;(2-1):251–262. https://doi.org/10.25018/0236-1493-2021-21-0-251-262 Kulikova A.A., Ovchinnikova T.I. On the issue of reducing geoecological risks at mining enterprises. Mining Informational and Analytical Bulletin. 2021;(2-1):251–262. (In Russ.) https://doi.org/10.25018/0236-1493-2021-21-0-251-262

6. Малышев Ю., Ковальчук А., Рожков А. Угольная отрасль: поиск ориентиров в эпоху перемен. Энергетическая политика. 2021;(2):18–29. https://doi.org/10.46920/2409-5516_2021_2156_18 Malyshev Y., Kovalchuk A., Rozhkov A. The coal industry: finding landmarks in an era of change. Energy Policy. 2021;(2):18– 29. (In Russ.) https://doi.org/10.46920/2409-5516_2021_2156_18

7. Павленко М.В., Скопинцева О.В. О роли капиллярных сил при вибровоздействии на гидравлически обработанный газонасыщенный угольный массив. Горный информационно-аналитический бюллетень. 2019;(3):43–50. Pavlenko M.V., Skopintseva O.V. Role of capillary forces in vibratory action on hydraulically treated gas-saturated coal. Mining Informational and Analytical Bulletin. 2019;(3):43–50. (In Russ.)

8. Плакиткин Ю.А., Плакиткина Л.С. Мировой инновационный проект «Индустрия-4.0» – возможности применения в угольной отрасли России. 1. Программа «Индустрия-4.0» – новые подходы и решения. Уголь. 2017;(10):44–50. https://doi.org/10.18796/0041-5790-2017-10-44-50 Plakitkin Yu.A., Plakitkina L.S. The Industry-4.0 global innovation project’s potential for the coal industry of Russia. 1. Industry-4.0 program – new approaches and solutions. Ugol’. 2017;(10):44–50. (In Russ.) https://doi.org/10.18796/0041-5790-2017-10-44-50

9. Риб С.В., Фрянов В.Н., Никитина А.М., Борзых Д.М. Состояние и перспективы развития подземной геотехнологии на угольных шахтах Кузбасса. Вестник Сибирского государственного индустриального университета. 2022;(2):57–63. Режим доступа: https://vestnik.sibsiu.ru/index.php/vestnik/article/view/178 (дата обращения: 20.12.2024). Rib S.V., Fryanov V.N., Nikitina A.M., Borzykh D.M. State and prospects for the development of underground geotechnology in Kuzbass coal mines. Bulletin of the Siberian State Industrial University. 2022;(2):57–63. (In Russ.) Available at: https://vestnik.sibsiu.ru/index.php/vestnik/article/view/178 (accessed: 20.12.2024).

10. Петухов В.Н., Свечникова Н.Ю., Юдина С.В., Горохов А.В., Лавриненко А.А., Харченко В.Ф. Использование отходов флотации угля для энергетических целей в условиях ОАО ЦОФ «Беловская». Кокс и химия. 2016;(5):38–41. Svechnikova N.Yu., Petukhov V.N., Yudina S.V., Gorokhov A.V., Lavrinenko A.A., Kharchenko V.F. Utilization of coal-flotation wastes at OAO TSOF Belovskaya. Coke and Chemistry. 2016;59(5):200–203. https://doi.org/10.3103/S1068364X16050057

11. Скопинцева О.В., Баловцев С.В. Управление аэрологическими рисками угольных шахт на основе статистических данных системы аэрогазового контроля. Горный информационно-аналитический бюллетень. 2021;(1):78–89. https://doi.org/10.25018/0236-1493-2021-1-0-78-89 Skopintseva O.V., Balovtsev S.V. Air quality control in coal mines based on gas monitoring statistics. Mining Informational and Analytical Bulletin. 2021;(1):78–89. (In Russ.) https://doi.org/10.25018/0236-1493-2021-1-0-78-89

12. Хазин М.Л. Роботизированная техника для добычи полезных ископаемых. Вестник Магнитогорского государственного технического университета им. Г.И. Носова. 2020;18(1):4–15. https://doi.org/10.18503/1995-2732-2020-18-1-4-15 Khazin M.L. Robotic equipment for mining operations. Vestnik of Nosov Magnitogorsk State Technical University. 2020;18(1):4– 15. (In Russ.) https://doi.org/10.18503/1995-2732-2020-18-1-4-15

13. Шинкевич А.И., Надеждина М.Е. Методика оценки эффективности цифровизации производственных процессов нефтехимического предприятия. Вестник московского государственного технического университета им. Н.Э. Баумана. Серия Машиностроение. 2021;(2):72–84. https://doi.org/10.18698/0236-3941-2021-2-72-84 Shinkevich A.I., Nadezhdina M.E. Methodology for assessing the efficiency of digitalization of production processes of a petrochemical enterprise. Herald of the Bauman Moscow State Technical University Series Mechanical Engineering. 2021;(2):72–84. (In Russ.) https://doi.org/10.18698/0236-3941-2021-2-72-84