Abstract
Abstract Vertical storage tank is one of the most important storage equipment in the petroleum industry, which is widely used in the petroleum and petrochemical industry. Once a deformation accident occurs in a vertical storage tank, it will generate extremely high danger and cause great harm effects. Therefore, foreign experts have been focusing on research on deformation detection of vertical storage tanks. In this paper, Vertical storage tanks are subjected to deformation assessment using 3D laser scanning technology, which focuses on solving the problem of missing point cloud repair in the application of three-dimensional laser scanning. Our research represents a BP neural network point cloud repair calculation method based on interpolation, which is based on the conventional interpolation method for horizontal point cloud repair. Compared with interpolation method, the BP neural network point cloud repair calculation method based on interpolation method has faster speed and higher accuracy. These findings provide essential technical support for further research on vertical tank deformation detection technology which based on three-dimensional laser scanning in the future.
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