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Photogrammetry-based approach for collecting and processing information about an existing building

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EN
Abstrakty
EN
Due to the organization of construction works, one of the most difficult situations is when a building is planned in a heritage or a densely built-up location. Fixing an existing situation manually takes a lot of time and effort and is usually not accurate. For example, it is not always possible to measure the exact spacing between buildings at different levels and to consider all outside elements of an existing building. Improper fixation of the existing situation causes mistakes and collisions in design and the use of inappropriate construction solutions. The development and progress in technologies such as BIM, laser scanning, and photogrammetry broaden the options for supporting the management of construction projects. It is important to have an effective fast collection and processing of useful information for management processes. The purpose of this paper is to analyze and present some aspects of photogrammetry to collect and process information about existing buildings. The methodology of the study is based on the comparison of two alternative approaches, namely photogrammetry and BIM modelling. Case studies present an analysis of the quantity take-offs for selected elements and parts of the buildings based on the two approaches. In this article, the specific use of photogrammetry shows that the error between the detailed BIM model and the photogrammetry model is only 1.02% and the accuracy is 98.98%. Moreover, physical capabilities do not always allow us to measure every desired element in reality. This is followed by a discussion on the usability of photogrammetry.
Rocznik
Strony
art. no. e144453
Opis fizyczny
Bibliogr. 37 poz., rys., tab.
Twórcy
  • Faculty of Civil Engineering, Vilnius Gediminas Technical University, Lithuania
  • Faculty of Civil Engineering, Cracow University of Technology, Poland
  • Faculty of Civil Engineering, Cracow University of Technology, Poland
  • Faculty of Civil Engineering, Vilnius Gediminas Technical University, Lithuania
  • Faculty of Civil Engineering and Environmental Sciences, Bialystok University of Technology, Poland
Bibliografia
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  • [22] P. Burdziakowski, “Uav in todays photogrammetry–Application areas and challenges,” International Multidisciplinary Scientific GeoConference: SGEM, 2018, vol. 18, no. 2.3, pp. 241–248.
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  • [25] I. Skrzypczak, G. Oleniacz, A. Leśniak, K. Zima, M. Mrówczyńska, and J.K. Kazak, “Scan-to-BIM method in construction: assessment of the 3D buildings model accuracy in terms inventory measurements,” Build. Res. Informat., vol. 50, pp. 859–880, 2022.
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  • [27] H. Omar, L. Mahdjoubi, and G. Kheder, “Towards an automated photogrammetry-based approach for monitoring and controlling construction site activities,” Comput.Ind., vol. 98, pp. 172–182, 2018.
  • [28] A. Braun, S. Tuttas, A. Borrmann, and U. Stilla, “A concept for automated construction progress monitoring using bim-based geometric constraints and photogrammetric point clouds,” J. Inf. Technol. Constr., vol. 20, no. 5, pp. 68–79, 2015.
  • [29] J.R. Bognot, C.G. Candido, A.C. Blanco, and J.R.Y. Montelibano, “Building construction progress monitoring using unmanned aerial system (Uas), low-cost photogrammetry, and geographic information system (GIS),” ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., vol. IV-2, pp. 41–47, 2018.
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  • [32] S. Zollini, M. Alicandro, D. Dominici, R. Quaresima, and M. Giallonardo, “ UAV photogrammetry for concrete bridge inspection using object-based image analysis (OBIA),” Remote Sens., vol. 12, no. 19, p. 3180, 2020.
  • [33] M. Russo, L. Carnevali, V. Russo, D. Savastano, and Y. Taddia, “Modeling and deterioration mapping of façades in historical urban context by close-range ultra-lightweight UAVs photogrammetry,” Int. J. Archit. Herit., vol. 13, no. 4, pp. 549–568, 2019.
  • [34] L. Carnevali, E. Ippoliti, F. Lanfranchi, S. Menconero, M. Russo, and V. Russo, “Close-range mini-UAVs photogrammetry for architecture survey,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., vol. XLII-2, pp. 217–224, 2018.
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  • [37] A. Szymczak-Graczyk, Z. Walczak, B. Ksit, and Z. Szyguła, “Multi-criteria diagnostics of historic buildings with the use of 3D laser scanning (a case study),” Bull. Pol. Acad. Sci. Tech. Sci., vol. 70, no. 2, p. e140373, 2022.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3de3d480-5f48-4f60-875b-7a8d622797ee
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