Abstract
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.
Highlights
Laser scanning, known as Light Detection and Ranging (LiDAR), has been used to capture three-dimensional (3D) topographic data of visible surfaces of objects quickly and accurately
In attempt to automatically extract the points of the shell, Truong-Hong et al (2020) used voxel-based RANSAC to extract the shell wall for a terrestrial laser scanner (TLS) point cloud capturing from exterior
For filtering outlier points of the shell wall and obtain points of the shell located within vnsj (Step 2), the bandwidth of 0.01m is used for generating KDE
Summary
Known as Light Detection and Ranging (LiDAR), has been used to capture three-dimensional (3D) topographic data of visible surfaces of objects quickly and accurately. A terrestrial laser scanner (TLS) captures great details of the surfaces with millimetre accuracy, which are to be widely used for creating three-dimensional (3D) geometric model, and structural engineering, for example structural inspection (Truong-Hong et al, 2021), deformation modelling (Truong-Hong and Lindenbergh, 2019), and finite element mesh (Kassotakis et al, 2020). Huadong et al (2017) sliced point cloud of the shell wall based on known elevations of courses, and a least square method is used to fit the cylinder for the points of each layer. The use of the asdesign model in FEA can affect to results because there is discrepancy between the as-design and as-is models (TruongHong and Laefer, 2013)
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