TY - GEN
T1 - Feature parameter extraction algorithm for the large-scale complex structure tank based on 3D laser scanning volume measurement
AU - Zhongyi, Cheng
AU - Maoji, Yang
AU - Bo, Kang
AU - Xingyuan, Bian
AU - Junning, Cui
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - -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.
AB - -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.
KW - 3D laser scanning method
KW - MATLAB simulation
KW - Volume measurement of large-scale complex structure tanks
KW - feature parameter extraction
UR - https://www.scopus.com/pages/publications/85085967759
U2 - 10.1109/ICEMI46757.2019.9101698
DO - 10.1109/ICEMI46757.2019.9101698
M3 - 会议稿件
AN - SCOPUS:85085967759
T3 - 2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
SP - 651
EP - 657
BT - 2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
A2 - Wu, Juan
A2 - Yin, Jiali
A2 - Qi, Zhang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
Y2 - 1 November 2019 through 3 November 2019
ER -