Three-dimensional Body Tube Based On Laser Point Cloud Research On Contour Reconstruction Technology

In industrial production,the accuracy of the inner diameter of the barrel workpiece is an important basis for the production of large-scale equipment,so people have more and more strict requirements for the inner diameter detection of workpieces such as barrels.The traditional contact measurement is gradually replaced by the non-contact measurement represented by laser scanning measurement due to the slow measurement speed and the influence of various factors on the detection accuracy.Laser measurement can obtain the contour information of the surface of the object to be measured with high precision and speed,and accurately describe the threedimensional geometry of the object.Therefore,this technology is widely used in the measurement of the inner diameter of the barrel.At the same time,the corresponding laser point cloud 3D reconstruction technology has also become a research hotspot.This paper takes the self-designed laser barrel caliper as the hardware basis,and puts forward the research on the three-dimensional contour reconstruction technology of the barrel based on the laser point cloud.Defects were effectively identified.The specific work of this paper is described as follows:Firstly,the working principle of the barrel caliper system is introduced in detail,the upper computer software for experimental collection is designed,and the original point cloud data of the barrel is collected under the drive of the software.At the same time,a three-dimensional rectangular coordinate system is established to realize the coordinate unification and format conversion of point cloud data.At the same time,the development of point cloud visualization software is carried out,and functions such as point cloud data reading and display,host computer operation,and point cloud preprocessing are realized.Then,preprocessing is performed on the collected original point cloud data,and the registration of the point cloud data is completed through the iterative closest point algorithm.For the registered point cloud data,the sparse outlier removal and radius filtering algorithms are successively used.The abnormal noise data points in the original point cloud data are successfully eliminated.After that,the filtered point cloud data is repaired and simplified so that it can better perform 3D reconstruction on the basis of maintaining the original contour surface.In the actual measurement,due to the influence of environment,stability,material properties and other factors,there will be holes in the point cloud data.In this paper,the cubic B-spline curve point cloud interpolation method is used to repair the holes.The repaired point cloud data is smooth and textured.Features remain consistent with normal point clouds.Then,the point cloud reduction algorithm is explained in detail.By combining the bounding box method with curvature sampling method,the point cloud data is simplified.The simplified point cloud data is distributed evenly,the topological relationship is stable,and the feature information can be kept completely.Finally,the geometric basis of point cloud reconstruction is introduced,and the related algorithms of point cloud reconstruction are studied and analyzed.Through the greedy projection triangulation algorithm and the surface reconstruction algorithm based on the B-spline curve,the surface reconstruction of the body tube point cloud data is completed,and the reconstruction results are analyzed.