UAV-BASED PHOTOGRAMMETRY DATA TRANSFORMATION AS A BUILDING INSPECTION TOOL: APPLICABILITY IN MID-HIGH-RISE BUILDING
DOI:
https://doi.org/10.24002/jts.v16i2.4777Abstract
The photogrammetric concept is used as a practical implementation of this study. Data management is proposed as an active contribution in the process of data integration and data in-operability to develop solutions based on UAV-based Photogrammetry as part of building inspection activities. Point Cloud adjusts the main role as data to initialize objects whose information can be represented in 2D / 3D / 4D rich-data format. Decision making on each management framework is planned with the DJI Go and Pix4D Capture Application which is controlled by a smartphone that has been pre-configured for the plan UAV flights. The flight plan quality control, flight mission supervision, and data acquisition results are important factors in the management and related infor-mation framework. The Point Cloud created by the SfM (Structure from Motion) application is then imported by Autodesk Recap and reconstructed in Revit BIM. The 3D Point Cloud is lastly enhanced with some practically detailed information to contribute to the data management experiment. The collaboration model of this study is presented using AR / VR (Augmented Reality / Virtual Reality) to enable mobile monitoring as a research objective and substantial examination. The essence of this study is to develop UAV-based Photogrammetry / BIM / AR-VR as a method to reduce the risk of data mismatches, monitor communications, and increase the impact of practical instructions on de-cision making on building inspection activities. The results of each verified workflow show that the methodology applied produces informational and visual data products that allow user mobility within the scope of building inspection and monitoring. Furthermore, device limitations do not affect the data acquisition process to provide user safety and efficiency.References
Boland, J., Ager, T., Edwards, E., Frey, E., Jones, P., Jungquiet, R. K., Lareau, A. G., Lebarron, J., King, C. S., & Komazaki, K. (2004). Manual of Photogrammetry (5th ed). Bethesda, Md. : American Society of Photogrammetry and Remote Sensing.
Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2011). BIM Handbook: A Guide to Building Information Modeling For Owners. Managers, Architects, Engineers and Contractors.
Eschmann, C., Kuo, C.-M., Kuo, C.-H., & Boller, C. (2012). Unmanned Aircraft Systems for Remote Building Inspection and Monitoring. European Workshop on Structural Health Monitoring (EWSHM), 2, 1–8. https://doi.org/10.1080/08039480801963051
Han, K. K., & Golparvar-fard, M. (2017). Automation in Construction Potential of big visual data and building information modeling for construction performance analytics : An exploratory study. Automation in Construction, 73, 184–198. https://doi.org/10.1016/j.autcon.2016.11.004
Hassan, S. S. (2017). Evaluating Immersive Virtual Reality Environment for Facility Management Planning Master thesis [Metropolia UAS and HTW Berlin]. https://www.theseus.fi/bitstream/handle/10024/134141/Final Thesis.pdf?sequence=1
Hossain, M. A., & Yeoh, J. K. W. (2018). BIM for Existing Buildings: Potential Opportunities and Barriers. IOP Conference Series: Materials Science and Engineering, 371(1). https://doi.org/10.1088/1757-899X/371/1/012051
Irizarry, J., Gheisari, M., & Walker, B. N. (2012). Usability assessment of drone technology as safety inspection tools. Electronic Journal of Information Technology in Construction, 17(September), 194–212. https://doi.org/10.1007/978-3-319-27146-0_19
Irschara, A., Kaufmann, V., Klopschitz, M., Bischof, H., & Leberl, F. (2010). Towards Fully Automatic Photogrammetric Reconstruction Using Digital Images Taken From Uavs. ISPRS - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, February 2015, 65–70. https://www.researchgate.net/publication/266468862_TOWARDS_FULLY_AUTOMATIC_PHOTOGRAMMETRIC_RECONSTRUCTION_USING_DIGITAL_IMAGES_TAKEN_FROM_UAVS
Khaloo, A., & Lattanzi, D. (2017). Hierarchical Dense Structure-from-Motion Reconstructions for Infrastructure Condition Assessment. Journal of Computing in Civil Engineering, 31(1), 04016047. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000616
Knoth, L., Scholz, J., Strobl, J., Mittlböck, M., Vockner, B., Atzl, C., Rajabifard, A., & Atazadeh, B. (2018). Cross-Domain Building Models—A Step towards Interoperability. ISPRS International Journal of Geo-Information, 7(9), 363. https://doi.org/10.3390/ijgi7090363
Lemmens, M. (2014). Features of Point Clouds and Functionalities of Processing Software. 14th International Scientific and Technical Conference “From Imagery to Maps: Ditigal Photogrammetric Technologies” October 20-23, 2014, Hainan, China, 27–31. http://repository.tudelft.nl/view/ir/uuid%3A2c76978c-51ac-49eb-8452-b8997bc0cf38/
Pan, N. H., Tsai, C. H., Chen, K. Y., & Sung, S. (2020). Improvement of uav based an evaluation approach to mid-high rise buildings’ exterior walls. SDHM Structural Durability and Health Monitoring, 14(2), 109–125. https://doi.org/10.32604/SDHM.2020.06489
Rakha, T., & Gorodetsky, A. (2018). Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones. Automation in Construction, 93(May), 252–264. https://doi.org/10.1016/j.autcon.2018.05.002
Szeliski, R. (2006). Image Alignment and Stitching: A Tutorial. In Foundations and Trends® in Computer Graphics and Vision (Vol. 2, Issue 1). https://doi.org/10.1561/0600000009
Zhan, J., Ge, X. J., Huang, S., Zhao, L., Wong, J. K. W., & He, S. X. J.
(2019). Improvement of the inspection-repair process with building information modelling and image classification. Facilities, 37(7–8), 395–414. https://doi.org/10.1108/F-01-2018-0005
Zhou, Z., Irizarry, J., & Lu, Y. (2018). A Multidimensional Framework for Unmanned Aerial System Applications in Construction Project Management. Journal of Management in Engineering, 34(3), 04018004. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000597