The survey and design work of railway transit line crossing complicated and difficult mountainous areas has a lot of difficulties.In particular,the determination of the line and station location plan relies on conventional survey methods for a long term.It is difficult to efficiently complete the design work within a limited construction period.To improve the survey and design efficiency of railway transit projects in the mountainous area,three-dimensional design research and application based on BIM+GIS electronic sand table is completed relying on the Yongchuan line project of Chongqing suburban railway and the systematic and digital 3D design means are updated.The organization and implementation process of BIM design and geological BIM modeling method is illustrated,the overall technical architecture of the electronic sand table system is proposed.BIM+GIS electronic sand table is built with Skyline as the basic platform,the problem of fusion and sectioning of BIM model and GIS data is solved through data format conversion and editing of terrain files,and the function of real-time update and display of the design scheme is realized by using the parameter linkage mechanism of the three-dimensional center line function of the line.The application of research results on the Yongchuan line indicates that BIM+GIS electronic sand table can efficiently complete key design links such as building scheme optimization,integration and collision detection of pipeline,landscape analysis,and comparison and selection of line and station location in the three-dimensional scenes,which meet the requirements for engineering design schedule and accuracy of the Yongchuan line,effectively decrease the design cycle of the engineering project,improve the engineering construction efficiency,and provide reference for the three-dimensional design of suburban railway in mountainous areas.
关键词
市郊铁路/BIM/GIS/三维设计/电子沙盘/数据融合/线站位比选/方案优化
Key words
suburban railway/BIM/GIS/3D design/electronic sand table/data fusion/route and station selection/scheme optimization
万方数据