Construction of Urban Rail Transit Line Spatial Digital Base Using 3D Laser Point Cloud Technology
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 4
Abstract
Objective In order to facilitate the digital transformation and high-quality development of Shanghai rail transit, it is imperative to construct a digital twin model and create a unified, authoritative, and precise spatial database, providing spatial data service capabilities for application scenarios involving spatial geography such as line network planning, construction, operation and maintenance, and management. Method Combined actual scenes and stock data, a variety of technologies such as 3D laser point cloud, satellite remote sensing and drones are used for 3D reconstruction to generate a spatial digital base model. Urban rail transit thematic spatial data is collected using handheld 3D laser scanners, and the collected point cloud data model is monomerized. Utilizing GIS (geographic information system) technology, the urban rail transit real-world 3D model, planning and control data, and various spatial basic geographic data are integrated into a visualization platform to establish a ′full-space, full-period, and full-factor′ spatial digital base. Taking Shanghai Rail Transit Jiuting Station as example, the layered floor plans and a 3D real-world model of the station are created, and the model files are linked with various attribute information before being integrated inro the urban rail transit line spatial digital base. Result & Conclusion The urban rail transit line spatial digital base, combined with spatial basic geographic data, can provide unified spatial geographic services for the ′planning-design-management-operation′ of the network. Integrating 3D real-world models of stations and information on land acquisition ranges under construction into the spatial digital base could facilitate the daily management of urban rail transit real estate and fixed assets, providing authoritative, accurate and intuitive decision-making basis for the daily operation and management of urban rail transit.
Authors and Affiliations
Gang ZHAO
Keywords
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- EP ID EP734186
- DOI 10.16037/j.1007-869x.2024.04.040
- Views 25
- Downloads 0
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