A A A Ц Ц Ц Ц

ШРИФТ:

Arial Times New Roman

ИНТЕРВАЛ:

х1 х1.5 х2

КЕРНИНГ:

Обычный Средний Большой

ИЗОБРАЖЕНИЯ:

Черно-белые Цветные
For the visually impaired Standard Version
Scientific, Technological and Production Journal
ISSN 2079–3332 (print)
ISSN 3034-6835 (online)
founded in 2001

Mine surveying-geodetic monitoring of a technological object by laser scanning

Original articles: 2026 No 1

Mine surveying-geodetic monitoring of a technological object by laser scanning

DOI: 10.56195/20793332-2026-26-1-45-49

Read in pdf I. A. Tereshin1, D. L. Neguritsa1, A. A. Tereshin2
  1. National University of Science and Technology “MISIS”, Moscow, Russian Federation
  2. National Research Moscow State University of Civil Engineering, Moscow, Russian Federation
p. 45-49, No.1/2026
Abstract:
The article presents the results of monitoring the condition of a building complex under construction in the complex engineering-geological conditions of Moscow using laser scanning technology. It has been established that combining high-precision laser scanning with traditional mine surveying-geodetic measurements allows for the creation of a detailed 3D model of the structure and for monitoring the displacements of its facade elements with high accuracy. It has been determined that this method facilitates the transition from point-based to comprehensive surface monitoring. The dynamics of deformation processes related to changes in the hydrogeological conditions and the manifestation of the barraging effect have been identified. A methodology for integrating laser scanning data into the mine surveying-geodetic monitoring system has been presented and tested. The research results can be useful for enhancing the accuracy and efficiency of deformation process control during the reconstruction and major construction of facilities in complex conditions, as well as for the rapid assessment of the effectiveness of protective measures.
Keywords:
capital construction facility, mine surveying-geodetic monitoring, facade survey, barraging effect, structure 3D model, structural elements
For citation:
Tereshin I.A., Neguritsa D.L., Tereshin A.A. Mine surveying-geodetic monitoring of a technological object by laser scanning. Mine Surveying and Subsurface Use. 2026;26(1):45-49. (In Russ.). https:// doi.org/10.56195/20793332-2026-26-1-45-49.
Information about the authors:
  1. Ivan A. Tereshin – Postgraduate Student, National University of Science and Technology MISIS, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  2. Dmitry L. Neguritsa – Cand. Sci. (Eng.), Associate Professor of the Department of Geology and Mine Surveying, National University of Science and Technology MISIS, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  3. Alexander A. Tereshin – Cand. Sci. (Eng.), Head of the Scientific and Technical Center, Institute of Scientific and Technical Support for Construction, National Research Moscow State University of Civil Engineering, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
References:
  1. 1. Neguritsa D. The problems of monitoring the deformation processes in the integrated development of the underground space of metropolitan cities. E3S Web of Conferences. 2018; 56: 02027. https://doi.org/10.1051/e3sconf/20185602027.
  2. 2. Alekseev G., Medvedev E., Neguritsa D. Monitoring of deformation processes during scientific and technical support of construction. E3S Web of Conferences. 2023; 410: 02045. https://doi.org/10.1051/e3sconf/202341002045.
  3. 3. Меркин В.Е., Пичугин А.А., Симутин А.Н. и др. Автоматизированная система комплексного геотехнического мониторинга и опыт ее практического применения // Транспортное строительство. 2023; 3: 4-8. Merkin V.E., Pichugin A.A., Simutin A.N., Medvedev G.M., Kuzyanov N.A., et al. Automated system for comprehensive geotechnical monitoring and experience of its practical application. Transport Construction. 2023; 3: 4-8. (In Russ.).
  4. 4. Lichti D.D., Jamtsho S. Angular Resolution of Terrestrial Laser Scanners. The Photogrammetric Record. 2006; 21(114): 141-160. https://doi. org/10.1111/j.1477-9730.2006.00367.x.
  5. 5. Tang P., Huber D., Akinci B. Characterization of Laser Scanners and Algorithms for Detecting Flatness Defects on Concrete Surfaces. Journal of Computing in Civil Engineering. 2011; 25 (1): 31-42. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000073.
  6. 6. Xu F., Chen S. Application of 3D Laser Scan Technology in the Surveying and Mapping of Ancient Buildings. IOP Conference Series: Earth and Environmental Science. 2020; 455 (1): 012028. https://doi.org/10.1088/1755-1315/455/1/012028.
  7. 7. Wang L. et al. Automatic Monitoring System in Underground Engineering Construction: Review and Prospect. Advances in Civil Engineering. 2020; 1. 3697253: 1-16. https://doi.org/10.1155/2020/3697253.
  8. 8. Mustafin M.G., Valkov V.A., Kazantsev A.I. Monitoring of Deformation Processes in Buildings and Structures in Metropolises. Procedia Engineering. 2017; 189: 729-736. https://doi.org/10.1016/j.proeng.2017.05.115.
  9. 9. Neguritsa D., Alekseev G., Tereshin A., Medvedev E., Slobodin K. Deformation Processes Modelling Throughout Underground Construction Within Megapolis Limits. Processes in GeoMedia. Springer Geology. Springer, Cham. 2022; IV: 215-227. https://doi.org/10.1007/978-3-030-76328-2_23.
  10. 10. Park H.S. et al. A New Approach for Health Monitoring of Structures: Terrestrial Laser Scannin. Computer-Aided Civil and Infrastructure Engineering. 2006; 22 (1): 19-30. https://doi.org/10.1111/j.1467-8667.2006.00466.x.
  11. 11. Liu Y. et al. A Metrological of Laser Pavement 3D Measurement Equipment. Journal of Physics: Conference Series. 2021; 1846. (1): 012020. https://doi.org/10.1088/1742-6596/1846/1/012020.
  12. 12. Hoang N.D. Image processing based automatic recognition of asphalt pavement patch using a metaheuristic optimized machine learning approach. Advanced Engineering Informatics. 2019; 40: 110-120. https://doi.org/10.1016/j.aei.2019.04.004.
  13. 13. Chen J., Kira Z., Cho Y.K. Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction. Journal of Computing in Civil Engineering. 2019; 33 (4). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000842.
  14. 14. Pepe M., Costantino D., Restuccia Garofalo A. An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point Clouds. Applied Sciences. 2020; 10 (4): 1235. https://doi.org/10.3390/app10041235.
  15. 15. Volk R., Stengel J., Schultmann F. Building Information Modeling (BIM) for existing buildings – Literature review and future needs. Automation in Construction. 2014; 38: 109-127. https://doi.org/10.1016/j.autcon.2013.10.023.

 

Теплоэнергетика России 2026

New materials