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Українськащо надає послуги з передплати наукових періодичних видань і книг з наукової тематики Національної академії наук України.
Зробити це можна за посиланням:
Лонґ Квок Нґуен, Мін Твет Данґ. Потенціал використання наземного лазерного сканування в гірничодобувній промисловості
12.11.2024
16.02.2026
27.11.2025
Лонґ Квок Нґуен1, 
Мін Твет Данґ 2, *,
Автор-кореспондент: [email protected]
Останнім часом використання технології наземного лазерного сканування в гірничодобувній промисловості набуло популярності завдяки її численним перевагам, включаючи безконтактність, високу точність, швидкість і значний масштаб. Це дослідження має на меті дати ґрунтовний огляд застосування методу наземного лазерного сканування у підземних, відкритих та закритих шахтах, використовуючи дані з 56 публікацій за останні чотирнадцять років (2010–2024 рр.). Розглянуто масив спеціальної літератури, що показує, що підхід наземного лазерного сканування може бути застосований у п'яти основних операціях в гірничодобувних районах, а саме: для моніторингу деформацій, зміщень, просідання, зсувів, а також 3D-моделюванні. Результати дослідження показали, що наземне лазерне сканування є чудовою технологією для багатозадачності в будь-якому типі шахт. Крім того, у цьому дослідженні також окреслено майбутні тенденції розвитку гірничодобувної промисловості, засновані на інтеграції технологій наземного лазерного сканування, машинного навчання і штучного інтелекту. Результати цього дослідження можуть бути використані для створення специфікацій, необхідних для розгортання наземного лазерного сканування в різних типах шахт.
1. Lipecki, T., & Huong, K. T. T. (2020). The development of terrestrial laser scanning technology and its applications in mine shafts in Poland. Inżynieria Mineralna, 1(2). DOI: https://doi.org/10.29227/IM-2020-02-36
2. Bazarnik, M. (2018). Slope stability monitoring in open pit mines using 3D terrestrial laser scanning. E3S Web of Conferences, EDP Sciences. DOI: https://doi.org/10.1051/e3sconf/20186601020
3. Kekeç, B., et al. (2021). Applications of Terrestrial Laser Scanning (TLS) in Mining: A Review. Türkiye Lidar Dergisi, 3(1), 31–38. DOI: https://doi.org/10.51946/melid.927270
4. Wang, W., et al. (2014). Applications of terrestrial laser scanning for tunnels: a review. Journal of Traffic and Transportation Engineering (English Edition), 1(5), 325–337. DOI: https://doi.org/10.1016/S2095-7564(15)30279-8
5. Smits, J. (2011). Application of 3D terrestrial laser scanning to map building surfaces. Journal of Architectural Conservation, 17(1), 81–94. DOI: https://doi.org/10.1080/13556207.2011.10785083
6. Berenyi, A., Lovas, T., & Barsi, A. (2010). Terrestrial laser scanning – civil engineering applications. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(5), 80–85.
7. Fröhlich, C., & Mettenleiter, M. (2004). Terrestrial laser scanning – new perspectives in 3D surveying. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(8), W2.
8. Wu, C., et al. (2021). Application of terrestrial laser scanning (TLS) in the architecture, engineering and construction (AEC) industry. Sensors, 22(1), 265. DOI: https://doi.org/10.3390/s22010265
9. Buckley, S. J., et al. (2008). Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations. Journal of the Geological Society, 165(3), 625–638. DOI: https://doi.org/10.1144/0016-76492007-100
10. Mukupa, W., et al. (2017). A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures. Survey Review, 49(353), 99–116.
11. Kuczyńska, G., & Stawska, M. (2021). Modern applications of terrestrial laser scanning. Горный информационно-аналитический бюллетень (научно-технический журнал), 2021(1), 160–169. DOI: https://doi.org/10.25018/0236-1493-2021-1-0-160-169
12. Fengyun, G., & Hongquan, X. (2013). Status and development trend of 3D laser scanning technology in the mining field. In International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013). Atlantis Press. DOI: https://doi.org/10.2991/rsete.2013.99
13. Korandová, B., & Krupa, M. (2018). The application of terrestrial laser scanning for the management of mining in real time. International Multidisciplinary Scientific GeoConference: SGEM, 18(2.2), 1011–1018.
14. Sălăgean, T., et al. (2016). The use of laser scanning technology in land monitoring of mining areas. Carpathian Journal of Earth and Environmental Sciences, 11(2), 565–573.
15. Teng, J., et al. (2022). Review on the research and applications of TLS in ground surface and constructions deformation monitoring. Sensors, 22(23). DOI: https://doi.org/10.3390/s22239179
16. Jones, L., & Hobbs, P. (2021). The application of terrestrial LiDAR for geohazard mapping, monitoring and modelling in the British Geological Survey. Remote Sensing, 13(3), 395. DOI: https://doi.org/10.3390/rs13030395
17. Telling, J., et al. (2017). Review of Earth science research using terrestrial laser scanning. Earth-Science Reviews, 169, 35–68. DOI: https://doi.org/10.1016/j.earscirev.2017.04.007
18. Prakash, A., et al. (2019). Utility of Terrestrial Laser Scanner in Mining. Mining Mazma, 12–14 October, 1–13.
19. Singh, S. K., Banerjee, B. P., & Raval, S. (2023). A review of laser scanning for geological and geotechnical applications in underground mining. International Journal of Mining Science and Technology, 33(2), 133–154. DOI: https://doi.org/10.1016/j.ijmst.2022.09.022
20. Van der Merwe, J., & Andersen, D. C. (2013). Applications and benefits of 3D laser scanning for the mining industry. Journal of the Southern African Institute of Mining and Metallurgy, 113(3).
21. Ellmann, A., et al. (2022). Advancements in underground mine surveys by using SLAM-enabled handheld laser scanners. Survey Review, 54(385), 363–374. DOI: https://doi.org/10.1080/00396265.2021.1944545
22. Matwij, W., et al. (2021). Determination of underground mining-induced displacement field using multi-temporal TLS point cloud registration. Measurement, 180, 109–482. DOI: https://doi.org/10.1016/j.measurement.2021.109482
23. Skoczylas, A., Kamoda, J., & Zaczek-Peplinska, J. (2016). Geodetic monitoring (TLS) of a steel transport trestle bridge located in an active mining exploitation site. Annals of Warsaw University of Life Sciences – SGGW. Land Reclamation, 48(3). DOI: https://doi.org/10.1515/sggw-2016-0020
24. Monsalve, J. J., et al. (2019). Application of laser scanning for rock mass characterization and discrete fracture network generation in an underground limestone mine. International Journal of Mining Science and Technology, 29(1), 131–137. DOI: https://doi.org/10.1016/j.ijmst.2018.11.009
25. Aubertin, J. D., & Hutchinson, D. J. (2022). Scale-dependent rock surface characterization using LiDAR surveys. Engineering Geology, 301, 106–614. DOI: https://doi.org/10.1016/j.enggeo.2022.106614
26. Van Pham, C., et al. (2023). Monitoring tram rail transport in underground coal mines using terrestrial laser scanning. Journal of Mining and Earth Sciences, 64(2), 91–100. DOI: https://doi.org/10.46326/JMES.2023.64(2).09
27. Purevjav, E. E., & Orosoo, K. K. (2024). Results of the Terrestrial Laser Scanning Survey in the Underground Mining of the Oyu Tolgoi Project to Determine Cross Penetrating Length and Volumes. DOI: https://doi.org/10.20944/preprints202403.1583.v2
28. Tran, H. H., & Pham, N. T. (2021). Building 3D model for the deep vertical shaft in Nui Beo coal mine using Terrestrial laser scanning technology. Journal of Mining and Earth Sciences, 62(5a), 128–134. DOI: https://doi.org/10.46326/JMES.2021.62(5a).16
29. Nghĩa, N. V., & Dũng, V. N. (2016). Nghiên cứu khả năng ứng dụng máy quét laser 3D mặt đất trong quản lý xây dựng-khai thác mỏ hầm lò. Khoa học kỹ thuật Mỏ-Địa chất, 57, 65–73.
30. Van, C. L., et al. (2023). Building 3D CityGML models of mining industrial structures using integrated UAV and TLS point clouds. International Journal of Coal Science & Technology, 10(1), 69. DOI: https://doi.org/10.1007/s40789-023-00645-x
31. Van Le, C., et al. (2022). Research to establish 3D model of mine industrial site area from terrestrial laser scanning and Unmanned aerial vehicle data. Journal of Mining and Earth Sciences, 63(5), 25–36. DOI: https://doi.org/10.46326/JMES.2022.63(5).03
32. Cao, C. X., et al. (2022). UAV and TLS point cloud integration for the surface plant infrastructure of underground coal mines. Journal of Mining and Earth Sciences, 63(4), 13–23. DOI: https://doi.org/10.46326/JMES.2022.63(4).02
33. Di Bartolo, S., & Salvini, R. (2019). Multitemporal terrestrial laser scanning for marble extraction assessment in an underground quarry of the Apuan Alps (Italy). Sensors, 19(3), 450. DOI: https://doi.org/10.3390/s19030450
34. Slaker, B. (2015). Monitoring underground mine displacement using photogrammetry and laser scanning. Virginia Tech.
35. Lanciano, C., et al. (2021). Distributed optical fiber sensors and terrestrial laser scanner surveys for the monitoring of an underground marble quarry. Italian Journal of Engineering Geology and Environment, 1(1), 117–125.
36. Xu, Z., et al. (2019). Registration of terrestrial laser scanning surveys using terrain-invariant regions for measuring exploitative volumes over open-pit mines. Remote Sensing, 11(6), 606. DOI: https://doi.org/10.3390/rs11060606
37. Bing, S., et al. (2015). Reconstructing DEM using TLS point cloud data and NURBS surface. Transactions of Nonferrous Metals Society of China, 25(9), 3165–3172. DOI: https://doi.org/10.1016/S1003-6326(15)63947-4
38. Gu, Y., et al. (2020). Study on subsidence monitoring technology using terrestrial 3D laser scanning without a target in a mining area: An example of Wangjiata coal mine, China. Bulletin of Engineering Geology and the Environment, 79, 3575–3583. DOI: https://doi.org/10.1007/s10064-020-01767-1
39. Ghabraie, B., et al. (2015). Application of 3D laser scanner, optical transducers and digital image processing techniques in physical modelling of mining-related strata movement. International Journal of Rock Mechanics and Mining Sciences, 80, 219–230. DOI: https://doi.org/10.1016/j.ijrmms.2015.09.025
40. Wang, L., et al. (2021). Automatic deformation extraction method of buildings in mining areas based on TLS point clouds. IEEE Access, 10. DOI: https://doi.org/10.1109/ACCESS.2021.3138081
41. Kukutsch, R., et al. (2015). Possibility of convergence measurement of gates in coal mining using terrestrial 3D laser scanner. Journal of Sustainable Mining, 14(1), 30–37. DOI: https://doi.org/10.1016/j.jsm.2015.08.005
42. Chen, H., et al. (2013). 3D Reconstruction of Mining Area Based on Terrestrial Laser Scanner and Calculation of Extraction. Applied Mechanics and Materials, 325, 1787–1791. DOI: https://doi.org/10.4028/www.scientific.net/AMM.325-326.1787
43. Nghia, N. V., et al. (2019). Applied Terrestrial Laser Scanning for coal mine high definition mapping. World of Mining – Surface and Underground, 71(4), 237–242.
44. Conforti, D., & Optech, T. (2017). Using Static and Mobile Laser Scanners to Measure and Manage Open Pit Mines. Canada: Optech Incorporated.
45. Blistan, P., et al. (2020). TLS and SfM approach for bulk density determination of excavated heterogeneous raw materials. Minerals, 10(2), 174. DOI: https://doi.org/10.3390/min10020174
46. Cerekwicki, M. M. (2020). Application of terrestrial laser scanning for characterizing discontinuities in a limestone quarry. Tecnico Lisboa.
47. Tong, X., et al. (2015). Integration of UAV-based photogrammetry and terrestrial laser scanning for the three-dimensional mapping and monitoring of open-pit mine areas. Remote Sensing, 7(6), 6635–6662. DOI: https://doi.org/10.3390/rs70606635
48. Vassena, G., & Clerici, A. (2018). Open pit mine 3D mapping by TLS and digital photogrammetry: 3D model update thanks to a SLAM-based approach. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42(2), 1145–1148. DOI: https://doi.org/10.5194/isprs-archives-XLII-2-1145-2018
49. Long, N. Q., et al. (2018). Accuracy assessment of mine walls’ surface models derived from terrestrial laser scanning. International Journal of Coal Science & Technology, 5, 328–338. DOI: https://doi.org/10.1007/s40789-018-0218-1
50. Kovanič, Ľ., et al. (2024). Spatial Analysis of Point Clouds Obtained by SfM Photogrammetry and the TLS Method – Study in Quarry Environment. Land, 13(5), 614. DOI: https://doi.org/10.3390/land13050614
51. Fowler, A., & Geier, A. (2015). Field test of long range terrestrial laser scanner and ground-based synthetic aperture radar for area monitoring in open pit mines. In FMGM 2015: Proceedings of the Ninth Symposium on Field Measurements in Geomechanics. Australian Centre for Geomechanics. DOI: https://doi.org/10.36487/ACG_rep/1508_59_Fowler
52. Zhou, D., et al. (2014). GPS/terrestrial 3D laser scanner combined monitoring technology for coal mining subsidence: a case study of a coal mining area in Hebei, China. Natural Hazards, 70, 1197–1208. DOI: https://doi.org/10.1007/s11069-013-0868-7
53. Fotheringham, M., & Paudyal, D. R. (2021). Combining terrestrial scanned datasets with UAV point clouds for mining operations. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, 129–138. DOI: https://doi.org/10.5194/isprs-annals-V-4-2021-129-2021
54. Netto, S. O. A., et al. (2023). Study of the Application of Terrestrial Laser Scanning for Identification of Pathologies in Concrete Structures. In Reinforced Concrete Structures – Innovations in Materials, Design and Analysis. IntechOpen. DOI: https://doi.org/10.5772/intechopen.109875
55. Fonstad, M. A., et al. (2013). Topographic structure from motion: a new development in photogrammetric measurement. Earth Surface Processes and Landforms, 38(4), 421–430. DOI: https://doi.org/10.1002/esp.3366
56. Wojtkowska, M., Kedzierski, M., & Delis, P. (2021). Validation of terrestrial laser scanning and artificial intelligence for measuring deformations of cultural heritage structures. Measurement, 167, 108–291. DOI: https://doi.org/10.1016/j.measurement.2020.108291
57. Wang, D., Hollaus, M., & Pfeifer, N. (2017). Feasibility of machine learning methods for separating wood and leaf points from terrestrial laser scanning data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, 157–164. DOI: https://doi.org/10.5194/isprs-annals-IV-2-W4-157-2017
58. Sanchez, C. E., Griffiths, D., & Boehm, J. (2021). Semantic segmentation of terrestrial lidar data using co-registered RGB data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 223–229. DOI: https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-223-2021
59. Li, D., et al. (2022). Towards automated extraction for terrestrial laser scanning data of building components based on panorama and deep learning. Journal of Building Engineering, 50, 104–106. DOI: https://doi.org/10.1016/j.jobe.2022.104106
60. Zelinska, S. (2020). Machine learning: technologies and potential application at mining companies. E3S Web of Conferences, EDP Sciences. DOI: https://doi.org/10.1051/e3sconf/202016603007
61. Hyder, Z., Siau, K., & Nah, F. (2019). Artificial intelligence, machine learning, and autonomous technologies in mining industry. Journal of Database Management (JDM), 30(2), 67–79. DOI: https://doi.org/10.4018/JDM.2019040104