Design Of 3D Laser Topography Measurement Software

Three-dimensional laser topography measurement technology is widely used in the commercial field,and research in related fields is also in-depth in all aspects of social life.With the rapid development of science and technology,3D laser measurement technology has made major breakthroughs,and the scanning measurement data is more huge and complicated.These data are a collection of a large number of 3D discrete points,also known as point cloud data,which can be described 3D space information and surface geometry information of real objects,including 3D space coordinate values,color information and intensity values.However,due to the influence of the accuracy of the current measurement system,the measurement environment and the measurement method,the three-dimensional point cloud data collected by lidar often contains a large number of noise points and hole values,and the data density is large,which is very unfavorable for research and research progress.Therefore,3D point cloud data processing and surface reconstruction have become research hotspots in reverse measurement engineering.Three-dimensional point cloud data processing and surface reconstruction technology are key technologies in reverse measurement engineering.A large number of theoretical studies and related products have appeared at home and abroad,but most of the software is supported by actual measuring instruments,and the software types are varied,A variety of functions,and can not fully meet the actual work needs.Therefore,based on the characteristics of the 3D point cloud data collected by Lidar and the dynamic storage network structure,this thesis studies the simplification,filtering,hole repair,normal estimation,curvature estimation,coordinate transformation,color rendering,segmentation,and surface of the 3D point cloud data.Reconstruction and other data processing algorithms,and then focus on analyzing and researching the working effects,advantages and disadvantages of each data processing algorithm,and providing theoretical support for the design and development of 3D laser topography measurement software.Then according to the project requirements,the overall framework and development process of the measurement software are designed,and the software development is completed using Qt graphical interface tools and VS2017 software programming tools.The software designed in this thesis can perform operations such as point cloud data filtering,automatic point cloud registration,point cloud classification,point cloud coloring,point cloud hole repair,point cloud data surface reconstruction,and point cloud data segmentation.The software has complete functions,beautiful and smooth interface,high working efficiency,and high degree of intelligence.It is suitable for data reconstruction of large-scale non-cooperative targets such as rockets,car parts,and large buildings.It has a wide range of applications.In the process of software development,each functional module of the software is tested with multiple sets of experimental data to observe the working conditions of the software and optimize the software functions.Finally,the work flow of the software and the work of the software in specific scientific research projects are introduced in detail,highlighting the core functions and actual use value of the software.