Three-dimensional curved surface monitoring method and system based on point cloud data and readable medium

Abstract

The invention provides a three-dimensional curved surface monitoring method and system based on point cloud data and a readable medium, and the method comprises the steps of carrying out the measurement of a three-dimensional surface, and obtaining the three-dimensional coordinate data of a measurement point; removing measuring noisy points, and separating curved surface point clouds from measuring point clouds; segmenting the three-dimensional curved surface point cloud into a plurality of plane sub-regions through curved surface division, and calculating wavelet packet entropy and normal vector deviation angles of the plane sub-regions; identifying and measuring unqualified sub-regions of the three-dimensional curved surface point cloud by taking the curved surface digital-analog point cloud as a reference, clustering the unqualified sub-regions, and defining quality characteristic parameters of the three-dimensional curved surface according to a clustering result; and monitoring the manufacturing process of the three-dimensional curved surface by monitoring the quality characteristic parameters of the curved surface, and identifying the position of the defect of the three-dimensional curved surface according to a clustering result. The invention can be applied to the three-dimensional curved surface in any shape, and can accurately monitor the manufacturing process of the three-dimensional curved surface and detect the position of the curved surface defect in the out-of-control state of the manufacturing process.

Description

technical field [0001] The present invention relates to the manufacturing process monitoring of the part surface, in particular to a three-dimensional curved surface monitoring method, system and readable medium based on point cloud data. Background technique [0002] The surface quality of parts is very important to product performance, and the monitoring of surface quality characteristics can provide a basis for surface quality improvement. At present, the research on surface monitoring is mainly focused on the plane, and the main methods include: 1) Image monitoring, that is, to obtain important information related to the quality of manufactured products reliably and in real time through the image acquisition system and use it for product manufacturing process monitoring. The existing image-based monitoring The research focuses on detecting the location / size of faults through spatial control charts and rapid detection of faults through statistical monitoring methods. Alt...

AI Technical Summary

Problems solved by technology

Although this method can deal with the problem of 3D surface monitoring based on point cloud data, it is easy to lose the spatial correlation of the surface and cannot detect the position of the defect on the surface.

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