DEVELOPMENT OF AN ALGORITHM FOR INTEGRATED MINING EQUIPMENT MANAGEMENT AND DATA TRANSMISSION TO A FLEET MANAGEMENT SYSTEM PLATFORM BASED ON ARTIFICIAL INTELLIGENCE AND VIDEO ANALYTICS

Authors

  • Mukhiddinov Khusniddin Oybek ugli

    Master’s Degree student, Department of Mining Engineering, Tashkent State Technical University (TSTU).

    Author

  • Shonanov Oybek Shokhimardon ugli

    Master’s Degree student, Department of Mining Engineering, Tashkent State Technical University (TSTU).

    Author

Keywords:
Mining equipment, Fleet Management System (FMS), artificial intelligence, video analytics, computer vision, digital mine, automated control, equipment monitoring, video data processing, intelligent dispatching, mining transportation complex, mining industry digitalization.
Abstract

Background. Modern mining enterprises are actively implementing digital technologies to improve the efficiency of mining equipment operation and optimize production processes. However, existing dispatching and fleet management systems mainly rely on GPS monitoring and telemetry data, which do not provide comprehensive control over the actual state of technological operations in real time. Therefore, there is a growing need for the development of intelligent management systems based on artificial intelligence and video analytics technologies.

References

1.Yakovlev, V.L., Kornilkov, S.V. (2015). Geotechnological problems and features of mining operations in deep open pits. GIAB, No. 7. Moscow: Gornaya Kniga, pp. 54–65.

2.Kornilkov, S.V. (2012). Technological aspects of deep open-pit mining. In: Deep Open Pits: Proceedings of the All-Russian Scientific and Technical Conference with International Participation, June 18–22, 2012. Apatity–St. Petersburg: Mining Institute, KSC RAS, pp. 38–52.

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4.Shemetov, P.A., Glotov, G.N. (2010). Theoretical fundamentals of automated systems for uranium in-situ leaching geotechnology. In: Proceedings of the VI International Scientific and Practical Conference “Current Problems of the Uranium Industry”, September 14–16, 2010, pp. 67–73.

5.Aristov, I.I., Rubtsov, S.K., Snitka, N.P. (2006). Experience in the step-by-step improvement of methods for standardization and accounting of ore losses and dilution at the open pits of the Navoi Mining and Metallurgical Combine. Mining Bulletin of Uzbekistan, No. 4, pp. 38–45.

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Published
2026-06-08
Issue
Vol. 2 No. 6 (2026)
Section
Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

DEVELOPMENT OF AN ALGORITHM FOR INTEGRATED MINING EQUIPMENT MANAGEMENT AND DATA TRANSMISSION TO A FLEET MANAGEMENT SYSTEM PLATFORM BASED ON ARTIFICIAL INTELLIGENCE AND VIDEO ANALYTICS. (2026). Eureka Journal of Geoscience, Materials & Resource Engineering, 2(6), 12-20. https://eurekaoa.com/index.php/9/article/view/1241

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