Koroviakа Ye., Zabolotna Yu., Pashchenko O., Rastsvietaiev V. Integration of surveying data into BIM models for effective management of mining projects
- Details
- Parent Category: Geo-Technical Mechanics, 2024
- Category: Geo-Technical Mechanics, 2024, Issue 171
Geoteh. meh. 2024, 171, 111-127
https://doi.org/10.15407/geotm2024.171.111
INTEGRATION OF SURVEYING DATA INTO BIM MODELS FOR EFFECTIVE MANAGEMENT OF MINING PROJECTS
Dnipro University of Technology
UDC 528.9:622.002.68
Language: English
Abstract. The mining industry faces increasing complexity in managing projects due to the need for precise planning, efficient execution, and rigorous monitoring to ensure safety, productivity, and environmental compliance, yet integrating diverse data sources into a cohesive framework remains a challenge. This article examines the integration of mine surveying data into Building Information Modeling (BIM) systems as a transformative approach to enhance the management of mining projects, focusing on open-pit and underground operations. The study tackles the challenges of combining geospatial data from LiDAR, GPS, and drone-based photogrammetry with geotechnical data from borehole logging into BIM frameworks to improve project planning, execution, and monitoring in the mining industry. By leveraging advanced surveying technologies, such as high-precision total stations and laser scanning, alongside BIM tools like Autodesk Revit and Bentley OpenRoads, the proposed methodology facilitates real-time data integration, enabling better decision-making and operational efficiency. The research adopts a mixed-methods approach, incorporating case studies of a copper open-pit mine and a coal underground mine, alongside software simulations in platforms like Agisoft Metashape for modeling, to evaluate the effectiveness of the integration process. Results demonstrate significant improvements, including a 15–20% increase in project accuracy through precise geological modeling, a 10–12% enhancement in cost estimation by reducing budget overruns, and a 30% improvement in risk management by identifying high-risk zones like unstable slopes. Challenges such as data interoperability issues between surveying formats and BIM platforms, as well as the high initial cost of software and training, were noted. The article concludes with practical recommendations for implementing BIM in mining, such as phased adoption and staff training programs, and outlines prospects for future research, including automation of data workflows using robotic process automation and AI-driven analytics for predictive risk assessment, aiming to further streamline operations and enhance safety in mining projects.
Keywords: mine surveying, BIM (Building Information Modeling), mining project management, geospatial data, geotechnical data, data integration, digital twins, modeling, real-time monitoring, operational efficiency.
REFERENCES
1. Gao, H., Koch, C. and Wu, Y. (2019), "Building information modelling based building energy modelling: A review", Applied Energy, 238, pp. 320-343. https://doi.org/10.1016/j.apenergy.2019.01.032
2. Li, J. (2014), "Building information modeling (BIM) and analysis of more traditional CAD", Applied Mechanics and Materials, 580-583, pp. 3171-3174. https://doi.org/10.4028/www.scientific.net/AMM.580-583.3171
3. Kim, J.W., Jeong, Y.K. and Lee, I.W. (2013), "Automatic sensor and meter arrangement system based on building information modeling", 2013 International Conference on Information and Communication Technology Convergence (ICTC), pp. 317-318. https://doi.org/10.1109/ICTC.2013.6675365
4. Pashchenko, O. et al. (2024), "Methodology for optimizing drill bit performance", 24th International Multidisciplinary Scientific Geoconference: Science and Technologies in Geology, Exploration and Mining (SGEM 2024), Albena, Bulgaria, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, vol. 24, issue 1.1, pp. 623-631. https://doi.org/10.5593/sgem2024/1.1/s06.78
5. Ooi, J.B.H. et al. (2023), "Numerical assessment of horizontal scanning LIDAR performance via comparative study method", Optics and Lasers in Engineering, 160, 107267. https://doi.org/10.1016/j.optlaseng.2022.107267
6. Wang, X. et al. (2011), "MATLAB tools for LIDAR data conversion, visualization, and processing", Proceedings of SPIE, 8286, 82860M. https://doi.org/10.1117/12.912529
7. Wang, E., Zhang, S. and Zhang, Z. (2010), "Research on the incomplete constellation GPS positioning algorithm aided by altitude", 2010 WASE International Conference on Information Engineering (ICIE), 2, pp. 219-222. https://doi.org/10.1109/ICIE.2010.148
8. Wang, E., Zhang, S. and Zhang, Z. (2010), "Research on the incomplete constellation GPS positioning algorithm by a combined altitude and clock bias model", 2010 International Conference on Electrical and Control Engineering (ICECE), pp. 2974-2977. https://doi.org/10.1109/iCECE.2010.725
9. Li, C., Wang, Y. and Zhang, Y. (2024), "Study on safety risk evolution paths and prevention of drilling and blasting method in railway tunnel construction in mountainous areas", Journal of Railway Science and Engineering, vol. 21(8), pp. 3358-3369.
10. Russ, K.D. and Eyre, J.M. (2001), "Processing surveying data from Old Mill Close Mine", Mining History, 14(3), pp. 53-56.
11. Zhao, X. (2017), "A scientometric review of global BIM research: Analysis and visualization", Automation in Construction, vol. 80, pp. 37-47. https://doi.org/10.1016/j.autcon.2017.04.002
12. Fiamma, P. (2019), "The metrology and the BIM approach: A new cognitive paradigm about the ancient construction", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2/W17), pp. 123-127. https://doi.org/10.5194/isprs-archives-XLII-2-W17-123-2019
13. Fiamma, P. and Biagi, S. (2023), "Critical approaches on the changes taking place after 24/2014/EU in BIM adoption process", Buildings, vol. 13(4), 850. https://doi.org/10.3390/buildings13040850
14. Lu, Z. (2024), "Leveraging BIM technology for comprehensive lifecycle management in engineering projects", Applied Mathematics and Nonlinear Sciences, vol. 9(1), 20242632. https://doi.org/10.2478/amns-2024-2632
15. Khomenko, V.L. et al. (2023), "Justification of drilling parameters of a typical well in the conditions of the Samskoye field", IOP Conference Series: Earth and Environmental Science, vol. 1254(1), 012052. https://doi.org/10.1088/1755-1315/1254/1/012052
16. Choe, S. and Leite, F. (2020), "Transforming inherent safety risk in the construction industry: A safety risk generation and control model", Safety Science, vol. 124, 104594. https://doi.org/10.1016/j.ssci.2019.104594
17. Li, Z.-Y. et al. (2005), "Mine surveying in information era", Transactions of Nonferrous Metals Society of China (English Edition), vol. 15(SPEC. ISS. 1), pp. 205-208.
18. de Oliveira, B.R. et al. (2021), "Tridimensional geotechnical database modeling as a subsidy to the standardization of geospatial geotechnical data", Soils and Rocks, vol. 44(4), e2021073321. https://doi.org/10.28927/SR.2021.073321
19. Fatehnia, M. and Deaton, S. (2022), "Geotechnical data analytics and data mining using Microsoft Power BI", State of the Art and Practice in Geotechnical Engineering, pp. 553–560. https://doi.org/10.1061/9780784484067.055
20. Li, S.-H. et al. (2021), "Study on extraction method of geological profile data based on BIM", 2nd International Conference on Urban Engineering and Management Science (ICUEMS 2021), 29–31 January 2021, Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc., pp. 198–201. https://doi.org/10.1109/ICUEMS52408.2021.00049
About the authors:
Koroviakа Yevhеn, Candidate of Technical Sciences (Ph.D), Associate Professor, Head of the Department of Oil and Gas Engineering and Drilling, Dnipro University of Technology, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
Zabolotna Yuliia, Candidate of Technical Sciences (Ph.D), Associate Professor, Associate Professor of the Department of Geodesy, Dnipro University of Technology, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
Pashchenko Oleksandr, Candidate of Technical Sciences (Ph.D), Director of the Interbranch Institute of Continuing Education (MIBO), Associate Professor at the Department of Oil and Gas Engineering and Drilling, Dnipro University of Technology, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
Rastsvietaiev Valerii, Candidate of Technical Sciences (Ph.D), Associate Professor, Associate Professor of the Department of Oil and Gas Engineering and Drilling, Dnipro University of Technology, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it. е (Corresponding author)
| File | Description | File size |
|---|---|---|
 Koroviakа Ye., Zabolotna Yu., Pashchenko O., Rastsvietaiev V. Integration of surveying data into BIM models for effective management of mining projects.pdf | 708 kB |