Reconstruction and Update of 3D Model of Mechanical Products Based on 3D Point Cloud Data

With the help of high-resolution images, 3D model reconstruction can obtain and extract the original feature information of the object, thereby achieving accurate measurement of product geometric dimensions, materials and other parameters. This technology has broad application prospects in the field of mechanical processing. This article first analyzes the current research status of 3D micro-measurement technology and three-dimensional surface reconstruction methods at home and abroad. Subsequently, this article uses three-dimensional point cloud data for modeling, and performs real-time shooting and data processing of parts. Afterwards, this article uses cloud data processing technology to extract the mechanical products in the sample, and obtains the dimensional parameters of the mechanical products through image fusion. Finally, this article conducts a performance test on the reconstructed three-dimensional model of the mechanical product. The test results show that after optimization, the dynamic response time of the model is reduced from 8-12s to 3-5s. This shows that the model can quickly respond to machine data and achieve high-efficiency operation; after optimization, the durability basically reaches more than 79%. The results of this study can show that the reconstruction effect of this model has been significantly improved, but it still needs improvement.