TY - GEN
T1 - On-line Measurement System of Aerospace Large Components Based on Vision Measurement System and Robotic Arm
AU - Ren, Fei
AU - Yang, Tianhao
AU - Wang, Xinmeng
AU - Ma, Zhaoyuan
AU - Li, Xudong
AU - Jiang, Hongzhi
AU - Zhao, Huijie
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - To meet the needs of high-precision and highefficiency measurement of large-scale aerospace components, a new measurement and registration technology with large-field-of-view is proposed in this paper, which is used to measure large-scale and weak-textured complex components. The robotic arm drives a small-field-of-view, high-spatial-resolution binocular fringe projection local measurement system, which acquires highprecision point cloud data based on the principle of heterodyne multi-frequency phase shift and high dynamic measurement. Based on the registration method of phase matching and global marker points, the local sensors are tracked and located by the global sensors with large-field-of-view and low-spatial-resolution. The laser tracker and the global sensor are used to jointly calibrate the global marker points on the surface of the turntable to realize the registration of all areas of large components. An automatic measurement method of the geometric dimensions of components by processing the point cloud to extract geometric feature and a virtual assembly and assembly quality evaluation method based on the point cloud data of components to optimize the assembly sequence and recognize the assembly interference of components are proposed in this paper.
AB - To meet the needs of high-precision and highefficiency measurement of large-scale aerospace components, a new measurement and registration technology with large-field-of-view is proposed in this paper, which is used to measure large-scale and weak-textured complex components. The robotic arm drives a small-field-of-view, high-spatial-resolution binocular fringe projection local measurement system, which acquires highprecision point cloud data based on the principle of heterodyne multi-frequency phase shift and high dynamic measurement. Based on the registration method of phase matching and global marker points, the local sensors are tracked and located by the global sensors with large-field-of-view and low-spatial-resolution. The laser tracker and the global sensor are used to jointly calibrate the global marker points on the surface of the turntable to realize the registration of all areas of large components. An automatic measurement method of the geometric dimensions of components by processing the point cloud to extract geometric feature and a virtual assembly and assembly quality evaluation method based on the point cloud data of components to optimize the assembly sequence and recognize the assembly interference of components are proposed in this paper.
KW - 3D point cloud
KW - 3D vision measurement
KW - global marked points registration
KW - multi-view measurement
KW - virtual assembly
UR - https://www.scopus.com/pages/publications/85206372186
U2 - 10.1109/ACIRS62330.2024.10684897
DO - 10.1109/ACIRS62330.2024.10684897
M3 - 会议稿件
AN - SCOPUS:85206372186
T3 - 2024 9th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2024
SP - 132
EP - 138
BT - 2024 9th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2024
Y2 - 18 July 2024 through 20 July 2024
ER -