Aircraft skin detection method based on contour feature constraint registration

Abstract

The invention discloses an aircraft skin detection method based on contour feature constraint registration. The method comprises the following steps: acquiring measurement data and a CAD model point set of an aircraft skin; obtaining contour point clouds of the aircraft skin through point cloud boundary extraction, discretizing independently the skin contour point clouds in the CAD model, and obtaining corresponding point sets; calculating Ck feature points on the contour based on curvature mean square error, and clustering the feature points based on Euclidean distance; introducing distance features on the basis of the fast point feature histogram, proposing an FPFH-d feature point description algorithm, and calculating corresponding points in a skin measurement data contour point set and a CAD data contour point set; and solving an initial registration matrix of a skin measurement data contour point set and a CAD data contour point set according to corresponding points on the contour, solving an optimal spatial transformation matrix by taking contour feature point registration as a constraint, and calculating deformation according to a root-mean-square error of a registration result. The method can effectively solve the problem that the aircraft skin cannot be accurately registered due to few surface features.

Description

technical field [0001] The invention relates to the technical field of aircraft skin detection, in particular to an aircraft skin detection method based on contour feature constraint registration. Background technique [0002] Aircraft skin parts are an important part of the aerodynamic shape of the aircraft, and have the characteristics of large size and easy deformation. The processing quality of skin parts directly affects the overall assembly accuracy of the aircraft, and its accurate detection is of great significance to aircraft manufacturing. With the development of optical measurement equipment, it has been possible to quickly obtain the three-dimensional data of the surface of the measured parts. The detection of the manufacturing error of the skin is the process of comparing the measurement data of the skin with the theoretical model. Through the unified measurement point cloud and design The coordinate system of the model, the measured point cloud is converted in...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an aircraft skin detection method based on contour feature constraint registration, which can effectively solve the problem that the aircraft skin cannot be accurately registered due to the lack of surface features

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