城市轨道交通智慧监护的数字底座构建与应用

Construction and application of digital base for intelligent monitoring of urban rail transit

针对城市轨道交通智慧监护中底数不清、标准不一、管理不规范、数据孤岛、数据更新不及时、共享协同难等问题,基于云计算、大数据、人工智能、物联网、GIS、CIM、BIM等技术,在考虑地铁结构及其周边全时空要素的基础上,提出了包括感知层、网络层、计算存储设施层、数据层、服务层与应用层的城轨智慧监护数字底座总体架构。探讨了构建智慧监护数字底座的关键技术。数据标准规范是建设数字底座的基础,针对智慧监护集成地质信息的痛点,研究了工程地质数据标准。探讨了多源异构数据汇集的基于OGC标准与基于地球剖分网格GeoSOT等实用集成技术。研究了BIM模型的高效可视化技术。基于属性建模技术,探索了隧道模型与三维地质模型的融合技术。利用ArcGIS、Java、微服务框架Spring Cloud等开发了某市的城轨智慧监护数字底座,并在智慧审批与智慧运维中进行了应用。

To address the problems of unclear basic data,different standards,irregular management,data islands,untimely data updates,and difficult sharing and coordination in urban rail transit smart monitoring based on cloud computing,big data,artificial intelligence,Internet of Things,GIS,CIM,BIM,and other technologies,and considering all space-time features of the subway structure and its surroundings,the overall architecture of the urban rail intelligent monitoring digital base,including the perception layer,network layer,computing and storage facility layer,data layer,service layer,and application layer,is proposed.The key technologies for building a digital base for smart monitoring are also discussed.Data standards and specifications form the basis for building a digital base,and engineering geological data standards have been studied as pain points for intelligent monitoring of integrated geological information.Practical integration technologies such as the OGC standard and GeoSOT based on multi-source heterogeneous data collection are discussed.An efficient visualization technology for the BIM model was studied.Based on the attribute modeling technology,the fusion technology of the tunnel and 3D geological models was explored.Using ArcGIS,Java,and the Spring Cloud microservice framework,a city’s urban rail intelligent monitoring digital base was developed and applied for smart approval and O&M.