Research on the Massive Geospatial Data Management System for Railway Based on ERDAS APOLLO
To address the challenges of effectively managing and professionally utilizing massive geospatial data in the railway surveying process,this paper presented an automated management and publishing method based on the ERDAS APOLLO spatial GIS engine.By integrating the characteristics of data at various stages of railway surveying,a standardized process for data organization,storage,processing,and sharing was established.A method for collecting and verifying railway geospatial metadata was developed,enabling rapid data entry and attribute acquisition for railway geospatial information.A system architecture with separate data,service,and application layers was designed in a B/S(Browser/Server)mode for the distribution and display of multi-source geospatial information.Utilizing Asp.Net,Vue.js,and the Cesium mapping framework.A railway multi-source geospatial data management system was developed in a front-end and back-end separated architecture,achieving unified data management and shared application.A survey project with a total data volume exceeding 600 GB was selected as a case study to verify the system's capabilities in data management,checking,verification,and visualization.The research indicates that the automated data management and service publishing process significantly reduce the costs associated with data storage,processing,and maintenance.The integrated map and attribute approach enhances the efficiency of data retrieval and increases the value of data utilization,effectively serving the application needs of the railway design profession for geospatial information data.
railwayERDAS APOLLOgeospatial datamanagement system
NETL
NSTL
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