站城融合立体网络空间数据湖仓存储设计方法OA

This paper investigated data operations and maintenance in the station-city-integrated cyberspace,focusing on the key technological bottlenecks that hampered the storage and fusion of multi-source,heterogeneous data.Using the intelligent operation and maintenance system of the Shenzhen North Railway Station precinct as object,designed a data lakehouse architecture dedicated to five core datasets-structure,environment,energy,pedestrian flow,and events-generated within the station-city fusion zone.The resulting lakehouse seamlessly ingested massive,semi-structured streams from sensors,building information models(BIM),city information models(CIM),and other cross-domain sources,eliminating information silos and markedly accelerating data fusion.By delivering a unified,analytics-ready data layer,the architecture underpinned the on-the-ground deployment of smart operation and maintenance services and established a robust technical foundation for deeper integration of intelligent transportation and urban systems.