METHODS FOR AUTOMATED SPATIAL POSITION MONITORING OF MINING MACHINERY IN COAL MINE CONDITIONS

Original paper

UDC 622.83:681.5.015 c S.А. Kizilov, М.S. Nikitenko, D.Yu. Khudonogov, 2025

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2025, №12

DOI: http://dx.doi.org/10.18796/0041-5790-2025-12-72-76

Authors

S.А. Kizilov, М.S. Nikitenko, D.Yu. Khudonogov

Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences, 650065, Kemerovo, Russian Federation, e-mail: sergkizilov@gmail.com

Authors Information

Kizilov S.A. – PhD (Engineering), Scientific Fellow, Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences, Kemerovo, 650000, Russian Federation, e-mail: sergkizilov@gmail.com

Nikitenko M.S. – PhD (Engineering), Head of laboratory, Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences, Kemerovo, 650000, Russian Federation, e-mail: ltd.mseng@gmail.com

Khudonogov D.Yu. – Scientific fellow, Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences, Kemerovo, 650000, Russian Federation, e-mail: admolv@gmail.com

Abstract

This article reviews modern methods for automated monitoring of the spatial position of mining machines in coal mines. It highlights challenges in measuring tilt angles relative to longitudinal and transverse axes and nearby systems during automation of development and face operations. Methods are classified by the physical principles of measuring devices into optical and non-optical groups. Common methods and equipment are described; LiDAR limitations and positive machine vision experience are noted. Non-optical tilt-measurement solutions and their applicability in coal mines are outlined. The paper concludes that MEMS-based methods and machine vision are the most promising for tracking mining machine position underground.

Keywords

Sensor, equipment inclination.

References

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Acknowledgements

The work was carried out within the framework of the State assignment of the Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the RAS, project FWEZ-2024-0025 “Development of scientific foundations for the creation of autonomous and automated mining machines, equipment, technical and control systems based on promising digital and robotic technologies (prolongation)”.

For citation

Kizilov S.А., Nikitenko М.S., Khudonogov D.Yu. Methods for automated spatial position monitoring of mining machinery in coal mine conditions. Ugol’. 2025;(12):72-76. (In Russ.). DOI: 10.18796/0041-5790-2025-12-72-76.

Paper Info

Received October 3, 2025

Reviewed November 15, 2025

Accepted November 28, 2025