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Feature parameter extraction algorithm for the large-scale complex structure tank based on 3D laser scanning volume measurement

–The volume measurement accuracy of large-scale complex structural tanks in high-end large-scale equipment assembly directly affects the normal working hours of the equipment. The measurement efficiency is directly related to the development and production cycle of the equipment. In order to solve the problem of high-precision and high-efficiency in the measurement of complex structure tank volume in high-end large-scale equipment, a measurement method based on three-dimensional laser scanning which can simultaneously improve measurement accuracy and measurement efficiency is proposed. Firstly, the large-scale complex structure tank is idealized into a standard hollow cylinder structure. Secondly, the MATLAB programming simulation is used to generate the ideal point cloud data without error. Thirdly, the data is used to study the feature parameter extraction algorithm based on the least squares principle. Finally, the accuracy and effectiveness of the algorithm are verified by MATLAB simulation experiments.