Original paper

UDC 622.271: 65.011.56 © A.A. Karpekin, G.Ya. Belyakova, N.V. Bakhmareva, 2025

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2025, №11, pp. 91-94

DOI: http://dx.doi.org/10.18796/0041-5790-2025-11-91-94

ASSESSMENT OF THE IMPACT OF MINING AND TRANSPORTATION COMPLEX AUTOMATION ON PRODUCTION AND ECONOMIC INDICATORS OF AN OPEN-PIT COAL MINE

Authors

A.A. Karpekin, G.Ya. Belyakova, N.V. Bakhmareva

Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation e-mail: karpeka1@gmail.com

Authors Information

Karpekin A.A. – Master’s Student in the field of study: 27.04.06 – Organization and Management of High-Tech Industries, Master’s program: “Innovative and Technological Development of High-Tech Production”, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation, e-mail: karpeka1@gmail.com

Belyakova G.Ya. – Doctor of Economic Sciences, Professor, Reshetnev Siberian State University of Science and Technology, e-mail: belyakova.gya@mail.ru

Bakhmareva N.V. – PhD (Economics), Associate Professor, Reshetnev Siberian State University of Science and Technology, e-mail: bahmareva@mail.ru

Abstract

The article investigates the enhancement of production and economic indicators in coal open-pit mines through the automation of mining and transport complexes (GTC), focusing on opportunities for logistics optimization, cost reduction, and improved safety. The author analyzes the operational principles of automated control systems (ACS GTC), including real-time equipment monitoring using GLONASS/GPS with RTK correction, IoT sensors, and intelligent route optimization algorithms. Special attention is given to global implementations (Australia, Canada, South Africa) and Russian solutions (“КАРАТ”, “ГОРИЗОНТ”), demonstrating 10–30% productivity growth and 15-20% operational cost reduction. Challenges in integrating heterogeneous systems and adapting to extreme conditions are highlighted. Economic efficiency is proven through case studies at SUEK and Kuzbassrazrezugol enterprises: for a medium-sized mine (10 million tons/year), investment payback period is 0.7-1.4 years with annual benefits reaching 180 million rubles. The key conclusion states that GTC automation transforms from a technological tool into a strategic factor for global competitiveness of Russia’s coal industry.

Keywords

Mining and transport complex automation, ACS GTC, coal open-pit mine, production efficiency, import phase-out, equipment utilization rate (KIT), precision positioning, intelligent algorithms, economic payback, industrial IoT.

References

1. Chen L., Xie Y., He Y., Ai Y., Tian B., Li L., Ge S., Wang F.Y. Autonomous mining through cooperative driving and operations enabled by parallel intelligence. Communications Engineering. 2024;3(1):75. DOI: https://doi.org/10.1038/s44172-024-00220-5.
2. Доронин С.В., Альшанская А.А. Цифровые модели нагруженности карьерных экскаваторов для информационной поддержки эксплуатации парка оборудования. Распределенные информационно-вычислительные ресурсы (DICR-2022). Новосибирск, 2022. С. 62-68.
3. Воронов А.Ю., Воронов Ю.Е. Современное состояние и перспективы развития роботизированных грузоперевозок на карьерах. Горное оборудование и электромеханика. 2019;6(146):16-24.
4. Воронов А.Ю., Воронов Ю.Е., Сыркин И.С. и др. Обзор систем безлюдных грузовых перевозок на карьерах. Уголь. 2022;(S12):30-36. DOI: http://dx.doi.org/10.18796/0041-5790-2022-S12-30-36.
5. Жданеев О.В., Власова И.М. Вызовы и приоритеты цифровой трансформации угольной отрасли. Уголь. 2023;(1):62-69. DOI: 10.18796/0041-5790-2023-1-62-69.
6. Крюков В.А., Борисова Ю.А. Сравнительный анализ подходов к формированию институциональных рамок освоения меняющейся ресурсной базы добычи углеводородов. Георесурсы. 2024;26(1):71-77.
7. Kelello C., Makhubela S. Mining of the Waterberg-a Unique Deposit Requiring Innovative Solutions. International Journal of Georesources and Environment. 2018;4(3):127-132. DOI: https://doi.org/10.15273/ijge.2018.03.018.
8. Pei S., Yang J., Gong Z. Trajectory-optimized learning-based dispatching system for autonomous mining haulage. International Journal of Mining, Reclamation and Environment. 2025:1-18. DOI: https://doi.org/10.1080/17480930.2025.2486316.

For citation

Karpekin A.A., Belyakova G.Ya., Bakhmareva N.V. Assessment of the Impact of Mining and Transportation Complex Automation on Production and Economic Indicators of an Open-Pit Coal Mine. Ugol’. 2025;(11):91-94. (In Russ.). DOI: 10.18796/0041-5790-2025-11-91-94.

Paper Info

Received July 23, 2025

Reviewed October 18, 2025

Accepted October 30, 2025