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Conservation and Management of Ancient Stupa Using Digital Twins: A Case Study of Uav-Based 3D Photogrammetric Digitization of Rankoth Wehera Stupa
Stupa structures in Sri Lanka are regarded as world heritage sites with rich archaeological and artistic value, some nearing a lifetime of almost 2 millennia. Conservation and management efforts are currently hindered due to the lack of practice of modern Building Information Modelling (BIM) techniques. Recently, Digital Twins (DT) as a tool for Historic Building Information Modelling (HBIM) has gained attraction worldwide. This paper summarizes the initial work that has been carried out to apply modern HBIM techniques for Sri Lankan heritage sites, to manage and preserve these structures for the future. To this end, this article details a case study of Rankoth Wehera in Sri Lanka and the 3D photogrammetric model creation for the application of DT principles. A drone survey of the structure was done with the assistance of the Central Cultural Fund of Sri Lanka to obtain high-resolution images of the location. Following a feature detection and homography calculation step using Scale Invariant Feature Transform (SIFT), the high-fidelity features were fed to an open-source 3D point cloud generation software, Meshroom. A 3D textured mesh was generated to observe the existing structural defects in the stupa dome and the superstructure. Obtained images can be used in conjunction with processing techniques using Image processing and Deep learning fundamentals to automatically detect the defects and pinpoint the locations of the defects on the DT model. Moreover, the generated high-resolution mesh can be fed for Finite Element Modelling (FEM) software to carry out nonlinear analysis when required. With this premiering work, the authors intend to inspire and urge researchers and authorities to integrate intelligent HBIM techniques for the conservation and management of Sri Lankan heritage sites.
Conservation and Management of Ancient Stupa Using Digital Twins: A Case Study of Uav-Based 3D Photogrammetric Digitization of Rankoth Wehera Stupa
Stupa structures in Sri Lanka are regarded as world heritage sites with rich archaeological and artistic value, some nearing a lifetime of almost 2 millennia. Conservation and management efforts are currently hindered due to the lack of practice of modern Building Information Modelling (BIM) techniques. Recently, Digital Twins (DT) as a tool for Historic Building Information Modelling (HBIM) has gained attraction worldwide. This paper summarizes the initial work that has been carried out to apply modern HBIM techniques for Sri Lankan heritage sites, to manage and preserve these structures for the future. To this end, this article details a case study of Rankoth Wehera in Sri Lanka and the 3D photogrammetric model creation for the application of DT principles. A drone survey of the structure was done with the assistance of the Central Cultural Fund of Sri Lanka to obtain high-resolution images of the location. Following a feature detection and homography calculation step using Scale Invariant Feature Transform (SIFT), the high-fidelity features were fed to an open-source 3D point cloud generation software, Meshroom. A 3D textured mesh was generated to observe the existing structural defects in the stupa dome and the superstructure. Obtained images can be used in conjunction with processing techniques using Image processing and Deep learning fundamentals to automatically detect the defects and pinpoint the locations of the defects on the DT model. Moreover, the generated high-resolution mesh can be fed for Finite Element Modelling (FEM) software to carry out nonlinear analysis when required. With this premiering work, the authors intend to inspire and urge researchers and authorities to integrate intelligent HBIM techniques for the conservation and management of Sri Lankan heritage sites.
Conservation and Management of Ancient Stupa Using Digital Twins: A Case Study of Uav-Based 3D Photogrammetric Digitization of Rankoth Wehera Stupa
Lecture Notes in Civil Engineering
Dissanayake, Ranjith (Herausgeber:in) / Mendis, Priyan (Herausgeber:in) / Weerasekera, Kolita (Herausgeber:in) / De Silva, Sudhira (Herausgeber:in) / Fernando, Shiromal (Herausgeber:in) / Konthesingha, Chaminda (Herausgeber:in) / Gajanayake, Pradeep (Herausgeber:in) / Egodawela, S. (Autor:in) / Buddika, H. A. D. S. (Autor:in) / Harischandra, W. A. N. I. (Autor:in)
International Conference on Sustainable Built Environment ; 2022 ; Yogyakarta, Indonesia
10.08.2023
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Digital twin , Photogrammetry , Drones , Image processing , Historic Building Information Modelling , Deep learning Energy , Sustainable Architecture/Green Buildings , Environmental Policy , Sociology, general , Energy Policy, Economics and Management , Building Construction and Design , Sustainable Development , Engineering
DataCite | 2020
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