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The use of the CityGML standard for a 3D GIS of underground and open-pit mines

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Parent Category: 2024

Category: Content №3 2024

Created on 28 June 2024

Last Updated on 28 June 2024

Published on 30 November -0001

Written by C. V. Pham, L. Q. Nguyen, C. X. Cao, C. V. Le, T. G. Nguyen, H. T. T. Le

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Authors:

C.V.Pham, orcid.org/0000-0002-6446-7860, Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam

L.Q.Nguyen, orcid.org/0000-0002-4792-3684, Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam; Innovations for Sustainable and Responsible Mining (ISRM) Research Group, Hanoi University of Mining and Geology, Hanoi, Vietnam

C.X.Cao, orcid.org/0000-0002-7405-9668, LandPartners, Brisbane, Australia

C.V.Le, orcid.org/0000-0002-8113-9949, Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam

T.G.Nguyen, orcid.org/0009-0006-0765-245X, Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam; Geodesy and Environment Research Group, Hanoi University of Mining and Geology, Hanoi, Vietnam

H.T.T.Le*1,5, orcid.org/0000-0001-9459-787X, Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam; Geomatics in Earth Sciences Research Group, Hanoi University of Mining and Geology, Hanoi, Vietnam, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (3): 019 - 026

https://doi.org/10.33271/nvngu/2024-3/019

Abstract:

Purpose. The research aims to address the challenges posed by the integration of diverse methods, focusing on data collection techniques and level of detail (LoD) considerations, which facilitates the creation of detailed 3D models. The CityGML standard is employed for its ability to represent complex urban features, adapted here for mining environments.

Methodology. Combining Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanning (TLS) technologies to collect data for open-pit and underground coal mines. These data are processed to generate point clouds, which are then used to create 3D models of mining structures using Sketchup and REVIT. Finally, these models are converted into the CityGML standard using FME SAFE software.

Findings. Through the use of Unmanned Aerial Vehicle and Terrestrial Laser Scanning technologies, precise point cloud data for open-pit and underground structures are acquired. CityGML serves as a suitable framework for digital mine representation, offering standardized data organization and exchange. The proposed methodology optimizes data collection and processing procedures, ensuring accuracy and efficiency in model creation. Notably, the study introduces a nuanced approach to LoD selection, considering the complexity and specific requirements of different mining structures.

Originality. The article innovatively combines UAV and TLS technologies with the CityGML standard to create comprehensive 3D GIS models for coal mines operating with both open-pit and underground methods, addressing the unique challenges of modeling diverse mining structures and terrain features.

Practical value. The practical value of the article lies in its provision of a systematic approach using UAV and TLS technologies, coupled with the CityGML standard, to create accurate 3D GIS models for coal mines employing both open-pit and underground methods. This methodology enhances mine management efficiency, resource estimation accuracy, and safety assessment capabilities.

Keywords: open-pit, underground mines, CityGML, 3D GIS, UAV, TLS

References.

1. King, B., Goycoolea, M., & Newman, A. (2017). Optimizing the open pit-to-underground mining transition. European Journal of Operational Research, 257(1), 297-309. https://doi.org/10.1016/j.ejor.2016.07.021.

2. Harraz, H. (2010). Underground mining Methods. https://doi.org/10.13140/RG.2.1.2881.1124.

3. Luntz, S. (2020). Mining Sites: The Transition from Open-Pit to Underground Mining. Retrieved from https://www.azomining.com/Article.aspx?ArticleID=1482.

4. Badwi, I. M., Ellaithy, H. M., & Youssef, H. E. (2022). 3D-GIS parametric modelling for virtual urban simulation using CityEngine. Annals of GIS, 28(3), 325-341. https://doi.org/10.1080/19475683.2022.2037019.

5. Moradi, M., & Assaf, G. J. (2023). Designing and Building an Intelligent Pavement Management System for Urban Road Networks. Sustainability, 15(2), 1157. https://doi.org/10.3390/su15021157.

6. Pepe, M., Costantino, D., Alfio, V. S., Restuccia, A. G., & Papalino, N.M. (2021). Scan to BIM for the digital management and representation in 3D GIS environment of cultural heritage site. Journal of Cultural Heritage, 50, 115-125. https://doi.org/10.1016/j.culher.2021.05.006.

7. Tang, L., Chen, C., Li, H., & Mak Didi Yat, Y. (2022). Developing a BIM GIS-Integrated Method for Urban Underground Piping Management in China: A Case Study. Journal of Construction Engineering and Management, 148(9), 05022004. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002323.

8. Gröger, G., Kolbe, T. H., Nagel, C., & Häfele, K. H. (2012). OGC city geography markup language (CityGML) encoding standard. Retrieved from https://portal.opengeospatial.org/files/?artifact_id=47842.

9. Akahoshi, K., Ishimaru, N., Kurokawa, C., Tanaka, Y., Oishi, T., Kutzner, T., & Kolbe, T. H. (2020). I-Urban revitalization: Conceptual modeling, implementation, and visualization towards sustainable urban planning using CityGML. ISPRS Annals of the Photogrammetry. Remote Sensing and Spatial Information Sciences, 4, 179-186. https://doi.org/10.5194/isprs-annals-V-4-2020-179-2020.

10. Chen, S., Zhang, W., Wong, N. H., & Ignatius, M. (2020). Combining CityGML files and data-driven models for microclimate simulations in a tropical city. Building and Environment, 185, 107314. https://doi.org/10.1016/j.buildenv.2020.107314.

11. Hämäläinen, M. (2021). Urban development with dynamic digital twins in Helsinki city. IET Smart Cities, 3(4), 201-210. https://doi.org/10.1049/smc2.12015.

12. Kumar, K., Ledoux, H., & Stoter, J. (2018). Compactly representing massive terrain models as TINs in CityGML. Transactions in GIS, 22(5), 1152-1178. https://doi.org/10.1111/tgis.12456.

13. Tolovkhan, B., Demin, V., Amanzholov, Zh., Smagulova, A., Tanekeyeva, G., Zairov, Sh., Krukovskyi, O., & Cabana, E. (2022). Substantiating the rock mass control parameters based on the geomechanical model of the Severny Katpar deposit, Kazakhstan. Mining of Mineral Deposits, 16(3), 123-133. https://doi.org/10.33271/mining16.03.123.

14. Braun, J., Braunova, H., Suk, T., Michal, O., Peťovský, P., & Kuric, I. (2021). Structural and Geometrical Vegetation Filtering-Case Study on Mining Area Point Cloud Acquired by UAV Lidar. Acta Montanistica Slovaca, 26(4). https://doi.org/10.46544/AMS.v26i4.06.

15. Zheng, J., Yao, W., Lin, X., Ma, B., & Bai, L. (2022). An accurate digital subsidence model for deformation detection of coal mining areas using a UAV-based LiDAR. Remote Sensing, 14(2), 421. https://doi.org/10.3390/rs14020421.

16. Cuong, C. X., Van Chung, P., Dung, P. T., & Cuong, N. S. (2021). Quality assessment of 3d point cloud of industrial buildings from imagery acquired by oblique and nadir UAV flights. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (5), 131-139. https://doi.org/10.33271/nvngu/2021-5/131.

17. Le Van, C., Cuong, C. X., Nguyen, Q., Anh, T. T., & Xuan-Nam, B. U. I. (2020). Experimental investigation on the performance of DJI phantom 4 RTK in the PPK mode for 3D mapping open-pit mines. Inżynieria Mineralna, 1(2), 65-74. https://doi.org/10.29227/IM-2020-02-10.

18. Prime Minister of Vietnam (2016). Decision 403/QD-TTg on Approval of Modifying the planning of Vietnam coal mining industry development until 2030. Retrieved from https://lawnet.vn/en/vb/Decision-No-403-QD-TTg-master-plan-Vietnams-coal-industry-development-2020-2030-2016-4B255.html.

19. Tolmer, C. E., Castaing, C., Diab, Y., & Morand, D. (2013). CityGML and IFC: Going further than LOD. Digital Heritage International Congress (DigitalHeritage), (1), 645-648. https://doi.org/10.1109/DigitalHeritage.2013.6743808.

20. Liu, X., Wang, X., Wright, G., Cheng, J., Li, X., & Liu, R. (2017). A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS). ISPRS international journal of geo-information, 6(2), 53. https://doi.org/10.3390/ijgi6020053.

21. Kutzner, T., Chaturvedi, K., & Kolbe, T. H. (2020). CityGML 3.0: New Functions Open Up New Applications. Journal of photogrammetry, remote sensing and geoinformation science, 88(1), 43-61. https://doi.org/10.1007/s41064-020-00095-z.

22. Kumar, K., Labetski, A., Ledoux, H., & Stoter, J. (2019). An improved LOD framework for the terrains in 3D city models. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, 75-82. https://doi.org/10.5194/isprs-annals-IV-4-W8-75-2019.

23. Vietnam Ministry of Industry and Trading (2015). Vietnam standard for mine surveying Hanoi, Vietnam: Vietnam standard for mine surveying.

24. Kumar, K., Ledoux, H., & Stoter, J. (2016). A CityGML extension for handling very large TINs. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, 137-143. https://doi.org/10.5194/isprs-annals-IV-2-W1-137-2016.

25. Eriksson, H., & Harrie, L. (2021). Versioning of 3D City Models for Municipality Applications: Needs, Obstacles and Recommendations. ISPRS international journal of geo-information, 10(2), 55. Retrieved from https://www.mdpi.com/2220-9964/10/2/55.

26. Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International journal of computer vision, (60), 91-110. https://doi.org/10.1023/B:VISI.0000029664.99615.94.

27. Stereopsis, R. M. (2010). Accurate, dense, and robust multiview stereopsis. IEEE Transactions On Pattern Analysis And Machine Intelligence, 32(8). https://doi.org/10.1109/TPAMI.2009.161.

28. Rashdi, R., Martínez-Sánchez, J., Arias, P., & Qiu, Z. (2022). Scanning Technologies to Building Information Modelling: A Review. Infrastructures, 7(4), 49. Retrieved from https://www.mdpi.com/2412-3811/7/4/49.

29. Li, W., Li, S., Lin, Z., & Li, Q. (2021). Information modeling of mine working based on BIM technology. Tunnelling and underground space technology, 115, 103978. https://doi.org/10.1016/j.tust.2021.103978.

30. Dimitrov, H., & Petrova-Antonova, D. (2021). 3D CITY MODEL AS A FIRST STEP TOWARDS DIGITAL TWIN OF SOFIA CITY. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B4-2021, 23-30. https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-23-2021.

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