Automatic detection method for point cloud rivet levelness

Abstract

The invention discloses an automatic detection method for point cloud rivet levelness, which comprises the steps of extracting a rivet contour by adopting an RANSAC circle fitting algorithm, and determining the circle center, the radius and the normal vector of a contour circle; for a single rivet contour, extracting a point cloud of a rivet head; extracting point clouds around the rivet for the outline of the single rivet; and according to the rivet head point cloud and the rivet surrounding point cloud, generating a distance chromatic aberration graph reflecting the rivet levelness. According to the invention, the rivet head point cloud and the rivet surrounding point cloud can be extracted respectively, and then the distance chromatic aberration graph reflecting the rivet levelness is generated according to the rivet head point cloud and the rivet surrounding point cloud, so that the rivet levelness can be detected quickly and effectively, the measurement precision is high, and therivet levelness information can be displayed visually.

Description

technical field [0001] The invention relates to the technical field of aircraft rivet detection, in particular to an automatic detection method for point cloud rivet flushness. Background technique [0002] With the rapid development of the aerospace industry, we have made major breakthroughs in the field of aircraft research and development and manufacturing. As one of the key components of the aircraft, the skin not only maintains the shape of the aircraft, but also makes the aircraft have good aerodynamic characteristics. The skin is riveted to the internal structure of the aircraft through rivets, and the quality of the rivets directly affects whether the skin can maintain its normal shape and play its due role. Therefore, the riveting quality of the skin is a crucial factor affecting the overall aerodynamics and long-term fatigue of the aircraft, and the riveting quality can be quickly determined by the flushness of the rivets. [0003] At present, the detection of ri...

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Problems solved by technology

[0003] At present, the detection of rivet flushness mainly adopts manual qualitative detection. The detection based on human vision not only cannot realize quantitative measurement, but also has high missed detection rate, low efficiency, and low reliability. At the same time, a large number of rivets used on the skin make the Manual detection is time-consuming and laborious, but there is very little research on the automatic detection technology of rivet flushness

For the problem of quantitatively measuring the flushness of rivets, no effective solution has been proposed so far

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