Rivet contour point cloud extraction method

Abstract

The invention discloses a rivet contour point cloud extraction method, which comprises the following steps of collecting a three-dimensional scanning point cloud on the surface of an aircraft skin toobtain three-dimensional point cloud neighborhood information; according to the three-dimensional point cloud neighborhood information, calculating and obtaining the initial local density of each point cloud; performing calculating according to the initial local density to obtain adaptively enhanced point cloud density, and defining a significance measurement method of the circle model according to the adaptively enhanced point cloud density; and automatically extracting the rivet contour point cloud through an RANSAC algorithm according to a saliency measurement method of the circle model. According to the method, the three-dimensional information of the rivet can be rapidly and accurately obtained, the rivet alignment degree and the riveting quality can be accurately detected based on the extracted rivet contour point cloud three-dimensional information, and the rivet detection speed and reliability are greatly improved.

Description

technical field [0001] The invention belongs to the technical field of aircraft rivet detection, and in particular relates to a method for extracting point clouds of rivet contours. Background technique [0002] In the process of aircraft manufacturing, rivets are widely used in aircraft assembly and connection because they are not easy to fall off and easy to disassemble. Among them, most of the rivets are used in the connection between the aircraft skin surface and the internal frame structure. During the riveting process of aircraft transfer and the flight process of the aircraft, the link parts of the rivet structure will be deformed, which will affect the surface quality of the aircraft shape. Therefore, the riveting quality of the rivets on the skin surface plays a vital role in the assembly accuracy and the aerodynamic shape of the aircraft. [0003] The detection of riveting quality has always been a difficult problem. As an important index to measure riveting qua...

AI Technical Summary

Problems solved by technology

As an important index to measure riveting quality, rivet flushness is widely used in riveting quality inspection, and to detect rivet flushness, it is first necessary to obtain rivet profile information. In the field, a large number of manual detection methods are still used, and the detection efficiency is low, and because the riveting profile changes slightly, it is difficult to detect the deformation of the rivet with the naked eye

Therefore, manual detection methods are difficult to adapt to the development needs of modern aircraft assembly.

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