| The significant evolution of urbanization as well as the remarkable increase in terms of economic indicators such as GDP and CPI over the last few years in China brings about the demand shift among residents,people have tendency to focus on public transportation infrastructure in their daily life.As an important fulcrum of urban transportation,rail transit is becoming more and more important in urban development.Compared with traditional engineering projects,urban rail transit engineering projects are characterized by large investment,strong professionalism and long construction cycle.In the whole life cycle of urban rail transit engineering projects,the early design,middle construction and late operation and maintenance process usually cannot be completed by a single subject,and requires the cooperation of various professional units.It is of great significance to solve the problems of multi-source data integration,three-dimensional display,operation and maintenance management at various stages of urban rail transit to break the data barrier,bridge the data gap,and realize digital delivery and information sharing.With the rapid development of new generation information technology such as Internet and computer,and the continuous implementation of strategies such as " Network Powerful Country","National Big Data Network" and "Digital China",building a new type of smart city is an important trend for future urban development.City Information Model（CIM）is supported by BIM + GIS + IOT technologies;BIM + GIS technologies build the foundation of multi-dimensional spatial model,IOT technologies provide perceptual information,and multiple technologies are integrated to build a three-dimensional digital spatial city model.CIM technology provides advanced digital tools and information sharing platforms for urban rail transit projects,which can realize the coordinated management of object-level model data in three-dimensional scenarios,thereby helping managers make correct decisions from a macro and scientific perspective.Time series modeling,machine learning and other technologies provide strong support for managers in the operation stage to complete the analysis of key factors and feature mining from massive travel data,build a short-term passenger flow prediction model,and achieve safe,efficient and refined management.This study uses B/S architecture based on Cesium open source map engine to develop a Web platform with BIM+GIS multi-source data integration display and passenger flow operation and maintenance management as the core.The platform uses Web GL as the container and Web service as the link to realize the geographic alignment of BIM+GIS model and object-level management of model component data in a wide range of real geospatial environment,and provides a visualization platform for urban rail transit passenger flow prediction,real-time monitoring and safety warning,and promotes the integration of "cloud,large object,mobile intelligence" into the whole life cycle of urban rail transit construction.It also provides a visualization platform for urban rail transit passenger flow prediction,realtime monitoring and safety warning,and promotes the integration of "cloud,big things,mobile intelligence" into the whole life cycle of urban rail transit construction.Specific research contents and work include.（1）Analyze and compare the current situation of research on CIM technology application,BIM and GIS technology integration,passenger flow prediction and urban rail transit platform construction at home and abroad,argue the advantages and values of multiple integration,and explain the necessity of designing and realizing urban rail transit supervision platform.（2）In view of the key problems of BIM+GIS technology integration in the application of urban rail transit platform,the key steps of converting IFC model to 3D Tiles model are proposed,including semantic extraction,geometric conversion and coordinate system conversion,and the key problems of information display,geographic alignment,position adjustment and underground model visualization after the converted model is loaded on the platform are also addressed.（3）In order to establish a large scale geospatial environment data model for urban rail transportation,DEM data is used to establish local Small Terrain terrain files.And use Geoserver server to publish GIS vector data and UAV tilt photography modeling to assist the construction of urban spatial scenes,to achieve a large range of real geospatial environment modeling.（4）Through IOT technology to collect rail traffic passenger flow AFC data,and realize data cleaning,feature mining and clustering analysis,research SARIMA model and machine learning model algorithm implementation principle,establish the optimal parameter model,and through the city rail traffic real historical data for training and prediction,all achieved good prediction results.（5）Design and develop urban rail transit supervision platform based on B/S architecture and Cesium earth engine,realize multi-source data integration and station passenger flow forecast display,and add modules of layer management,equipment query,spatial analysis,safety monitoring,etc.,which greatly improve the supervision efficiency and decision accuracy of urban rail transit managers and have certain engineering practicality.Figure [81] table [17] reference [67]... |
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