Print Email Facebook Twitter Towards a digital twin of a storage tank using laser scan data Title Towards a digital twin of a storage tank using laser scan data Author Truong-Hong, Linh (TU Delft Optical and Laser Remote Sensing) Nguyen, N. (Ho Chi Minh City University of Technology) Lindenbergh, R.C. (TU Delft Optical and Laser Remote Sensing) Fisk, P. (Ironhide Inspection Inc.) Huynh, T. (Ho Chi Minh City University of Technology) Date 2021 Abstract This paper proposes a methodology to automatically extract components of an oil storage tank from terrestrial laser scanning (TLS) point clouds, and subsequently to create a three-dimensional (3D) solid model of the tank for numerical simulation. The proposed method is integrated into a smart analysis layer of a digital twin platform consisting of three main layers: (1) smart analysis, (2) data storage, and (3) visualisation and user interaction. In this proposed method, primary components of the tank were automatically extracted in a consecutive order from a shell wall to roof and floor. Voxel-based RANSAC is employed to extract voxels containing point clouds of the shell wall, while a valley-peak-valley pattern based on kernel density estimation is implemented to remove outlier points within voxels representing to the shell wall and re-extract data points within voxels adjoined to the shell wall. Moreover, octree-based region growing is employed to extract a roof and floor from remaining point clouds. An experimental showed that the proposed framework successfully extracted all primary components of the tank and created a 3D solid model of the tank automatically. Resulting point clouds of the shell wall were directly used for estimating deformation and a 3D solid model was imported into finite element analysis (FEA) software to assess the tank in terms of stress-strain. The demonstration shows that TLS point clouds can play an important role in developing the digital twin of the oil storage tank. Subject DeformationDigital twinFinite element analysisPoint cloudsSegmentationStorage tank To reference this document use: http://resolver.tudelft.nl/uuid:f64196fe-4edf-42bd-9f25-2876510f7a10 DOI https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-119-2021 ISSN 1682-1750 Source International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 46 (4/W4-2021), 119-124 Event 16th 3D GeoInfo Conference 2021, 2021-10-11 → 2021-10-14, New York City, United States Part of collection Institutional Repository Document type journal article Rights © 2021 Linh Truong-Hong, N. Nguyen, R.C. Lindenbergh, P. Fisk, T. Huynh Files PDF isprs_archives_XLVI_4_W4_ ... 9_2021.pdf 1.24 MB Close viewer /islandora/object/uuid:f64196fe-4edf-42bd-9f25-2876510f7a10/datastream/OBJ/view