| At present,in many indoor environments,people often face various path finding dilemmas.The previous research results of path navigation in buildings also have problems such as limited scene expression ability and low path search efficiency.Because The Badaling Great Wall Station is deeply buried,complex,and has a large flow of people,this thesis develops a route navigation software through the study of the navigation model construction and the optimal path finding algorithm to achieve accurate and effective route navigation for buried complex indoor environments.This thesis discusses navigation model data sources,navigation model construction,path finding algorithm design and development tools.IFC is versatile,intuitive and three-dimensional in expression.Besides,it also contains a wealth of building information.This thesis uses the IFC standard as the input data format and performs IFC information extraction and format conversion according to the navigation requirements of the station.Unity 3D components are rich and easy to use.Besides,its the development cycle is short.So this thesis uses the Nav Mesh method in Unity 3D to build the navigation model to improve the accuracy of the navigation model.In the path finding algorithm design part,the path navigation algorithm in Unity 3D is improved in combination with the actual situation of the project and user needs.Taking into account the characteristics of the large flow of people,while reducing the time required for path finding,the improved path navigation algorithm maintains a balance between path finding efficiency and accuracy,and provides users with efficient and accurate route navigation services.This thesis uses Unity 3D as a tool for the development of navigation software.According to user needs,different functional modules are set up to assist users in path navigation.The path navigation is implemented at Badaling Great Wall Station.The results prove that the above method can achieve accurate and effective path navigation. |
