Monomerization Method Of UAV Remote Sensing Collaborative BIM

Three-dimensional geographic information system is increasingly used in the construction of smart cities.The urban 3D model is the basic building block of the City Information Model(CIM).How to be efficiently constructed and managed is an urgent problem to be solved.At present,in the field of three-dimensional GIS refinement,the establishment of monomerization models still relies mainly on traditional manual modeling techniques,which has low efficiency and high operating costs.It is difficult to meet engineering requirements.Although the real-time image modeling technology based on oblique photography developed in recent years can quickly build a large-scale urban 3D scene model,it can not automatically identify and distinguish the independent features in the 3D GIS scene.The monomerization problem still has no perfect solution,which seriously hinders the analysis function and industrial application of 3D GIS.The monomerization methods introduced in the existing literature and used in commercial GIS software all have different degrees of limitations and the development of more efficient monomerization methods has become an inevitable trend.The core of monomerization is to realize the independence of the model in the three-dimensional scene and to be able to be efficiently managed and analyzed under the balance of efficiency.This paper aims at the current research status of the three-dimensional model monomerization methods in existing cities and explores the monomerization method of UAV remote sensing collaborative BIM.The main research contents and achievements are as follows:1.A survey of current research on UAV,BIM,and monomerization around 3D GIS modeling topics.First of all,from the hardware equipment,application areas,etc.,the application status of light and small drone platforms is summarized and analyzed(Focused on the application of DJI,Parrot,3D Robotics,the world's three small and light UAV platforms).Secondly,the application status of building texture information extraction and Building Information Model(BIM)in GIS is summarized.In the end,three main types of monomerization modeling methods are mainly elaborated,and seven small monomerization methods are analyzed synthetically.2.The collaborative research of image extraction and BIM geometry.Researth on the texture extraction of light and small UAV remote sensing images,the detection of corner points of remote sensing images is used as an aid to extract contour corner information of building entities,and automatic cutting and correction of building texture is achieved.At the same time,the geometrical information of each side of BIM is used as a constraint condition to carry out non-uniform scale transformation of the frontal texture of the building,and the monolithic building texture information is obtained.3.Research on BIM Data Reconstruction for Monolithic Application of 3D GIS.Due to the complexity of the original BIM geometry and the inconsistent data formats used in the GIS,the 3Dmax built-in plug-in function is used to import the RVT format BIM into the 3dmax platform.Through appropriate welding,bridging,culling,and other reconstruction operations,a monolithic,geometric white mold is obtained.4.The study of image and lightweight OBJ model texture mapping.Based on OpenSceneGraph and OpenGL open-source graphics image processing technology,reads and highlights BIM geometric white molds that are monolithicized.Through the algorithm steps such as normal collision detection,mask markup,and shader rendering,the implementation of the single-processor approach BIM geometry white model for texture mapping.5.Development and demonstration of monolithic modeling prototype system of UAV collaborative BIM.Based on the mixed programming of C++ and QT,a prototype system of UAV remote sensing collaborative BIM is developed to verify the proposed method.The system mainly focuses on the design of monolithic texture extraction and the monomerization-oriented BIM geometric model texture mapping.Experiments show that the human-computer interaction system can effectively complete the extraction of building texture information and texture mapping and achieve a better reconstruction of the singulated model.