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On-line Measurement System of Aerospace Large Components Based on Vision Measurement System and Robotic Arm

Fei Ren, Tianhao Yang, Xinmeng Wang, Zhaoyuan Ma, Xudong Li, Hongzhi Jiang, Huijun Zhao

Year
2024
Citations
2

Abstract

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.

Keywords

AerospaceComputer visionSystem of measurementComputer scienceArtificial intelligenceLine (geometry)Robotic armMachine visionEngineeringAerospace engineering

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