NUST MISIS’ College of Mining, Moscow, Russia

Eremenko V. A., Professor, Doctor of Engineering Sciences, prof.eremenko@gmail.com

PRIN JSC, Moscow, Russia
Bragin A. A., Development Director, Candidate of Engineering Sciences
Gridin D. Yu., Presale–Engineer

Peoples’ Friendship University of Russia named after Patrice Lumumba, Moscow, Russia
Bykova A. A., Senior Lecturer

The article presents SLAM CHCNAV RS10 scanner data obtained in 2025 in an operating mine shaft. The list and execution speed of operations are reported, and the data interpretation is given. The processing order of the point cloud and the condition analysis of the test mine shaft are described. It is for the first time found that laser scanning determines many required parameters and characteristics which ensure safety, efficiency and facilitation of mining operations, namely: true condition and serviceability of operating mine openings; damage spots in support and lining, including visually unobservable areas; solid mineral output capacity both in open pit and underground mining; parameters of support and reinforcement in mine openings; rock mass stability, alignment of stopes and pillars; excessive volume of rock haulage per 1 m of stoping in case of increased design section of stopes, etc. Laser scanning with SLAM CHCNAV RS10 simplifies survey measurements and enhances efficiency of deformation monitoring. Periodic scanning of stopes exhibits deformation trends, high stress–strain areas in support and reinforcement system of stopes, as well as potential damage spots in support systems.

1. Dmitriyev S. V. Development of tools for volumetric scanning and profiling of underground working. Vestnik Nauchnogo Centra RAN. 2021. Vol. 13, No. 3. pp. 22–27.
2. Valkov V. A., Valkova E. O., Mustafin M. G. Methodology for refining digital relief models of open-pit mine workings based on laser scanning and aerial photography. Mine surveying and subsurface use. 2023. No. 3(125). pp. 40–52.
3. Vystrchil M. G., Mukminova D. Z., Baltyzhakova T. I., Paramonov V. G., Valkovа E. O. Analysis of deformation processes by survey data of laser scanning and photogrammetry. MIAB. 2025. No. 2. pp. 78–98.
4. Okhotin A. L., Belyaev E. N. Mobile laser scanning of underground mine openings using inertial navigation systems. Mine Surveying Bulletin. 2011. No. 6(86). pp. 31–34.
5. Tarasov V. V., Aptukov V. N. Laser scanning monitoring of deformations in concrete lining of mine shafts. Fiziko-texhnicheskiye problemy razrabbotki poleznykh iskopaemykh. 2022. No. 5. pp. 188–195.
6. Pleshko M. S., Pankratenko A. N., Pleshko M. V., Nasonov A. A. Assessment of stress–strain behavior of shaft lining in bottomhole area during sinking by real-time monitoring and computer modeling data. Eurasian mining. 2021. No. 1. pp. 25–30.
7. Pleshko M. S., Golembo O. D. Methodology for determining the parameters of shotcrete fastening mine shafts passed through the drilling method. Izvestiya TulGU. Nauki o Zemle. 2024. No. 2. pp. 403–415.
8. Stupnik N. I., Popov S. O., Azaryan V. A., Karamanits F. I. Research of parameters of development of deformation processes in underground excavations, using an automated laser scanning systems. Gornyi Zhurnal. 2014. No. 5. pp. 70–73.
9. Druz R. A., Protasova A. V., Asafiev I. A., Korytov A. S., Okhunov Sh. R. Comparison of calculated volumes of mine openings using tacheometer and ground-based laser scanning. Geology, Prospecting and Exploration of Minerals and Geological Research Methods: International Conference Proceedings. 2022. Iss. 22. pp. 202–204.
10. Rakhatkulov D. Kh., Zainitdinova R. M. Modeling mine roadways using laser scanning. Nauchnye Issledovaniya i Razrabotki Molodykh Uchenykh. 2016. No. 9-1. pp. 148–152.
11. Melnikov V. G., Grigorov A. M. Method for automated surface diagnostics of technical condition of underground miningworkings. Patent RF, No. 2810350. Applied: 27.07.2023. Published: 27.12.2023.Bulletin No. 36.
12. Wang Y., Song W., Lou Y. et al. Rail vehicle localization and mapping with LiDAR-vision-inertial-GNSS fusion. IEEE Robotics and Automation Letters. 2022. Vol. 7, Iss. 4. pp. 9818–9825.
13. Wang Y., Lou Y., Song W., Tu Z. A tightly-coupled framework for large-scale map construction with multiple non-repetitive scanning LiDARs. IEEE Sensors Journal. 2022. Vol. 22, Iss. 4. pp. 3626–3636.
14. Wang Y., Lou Y., Zhang Y. et al. A robust framework for simultaneous localization and mapping with multiple non-repetitive scanning lidars. Remote Sensing. 2021. Vol.13, Iss. 10. ID 2015.
15. Wang Y., Lou Y., Song W., Tu Z., Zhang S. Simultaneous localization of rail vehicles and mapping of surroundings with LiDAR-inertial-GNSS integration. IEEE Sensors Journal. 2021. Vol. 22, Iss. 14. pp. 14501–14512.
16. Sidorov D. V., Ponomarenko T. V. Estimation methodology for geodynamic behavior of nature-and-technology systems in implementation of mineral mining projects. Gornyi Zhurnal. 2020. No. 1. pp. 49–52.
17. Eremenko V. A., Ainbinder I. I., Marysyuk V. P., Nagovitsyn Yu. N. Guidelines for selecting ground support system for the Talnakh operations based on the rock mass quality assessment. Gornyi Zhurnal. 2018. No. 10. pp. 101–106.
18. Louchnikov V. N., Eremenko V. A., Sandy M. P., Kosyreva M. A. Rock Bolting Design for Mines Exposed to Rockburst Hazard. Journal of Mining Science. 2017. Vol. 53, Iss. 3. pp. 504–512.
19. Dai X., Song W., Wang Y. et al. Lidar–inertial integration for rail vehicle localization and mapping in tunnels. IEEE Sensors Journal. 2023. Vol. 23, Iss. 15. pp. 17426–17438.