Research and Development of High-speed Railway Operation Monitoring Data Management System Based on Multi-source Data.

The existing high-speed railway operation monitoring data management system consists of four main components, which are data processing, result transfer, visual display and report output. The system has disadvantages including weak visualization and data mining, and lacks of the integration with geology information. Based on the fact, a system architecture was built by using the B/ S mode, which included data layer, service layer, and presentation layer, for storage, distribution, and display of operation monitoring data. The architecture achieved front-end and back-end separation using the ASP. NET and Vue. js framework. Aiming to enhance the system's GIS map visualization and spatial analysis capabilities, the highspeed railway operation monitoring data management system incorporated with the Openlayers which enabled maintenance of monitoring results from multiple data sources, information mining of monitoring data, and visualization of results. The system's effectiveness was verified through application cases involving two operational monitoring projects, covering a total distance of 300 km and comprising 17 061 monitoring points with 11 periods of monitoring data. The research results demonstrate that the system has effectively improved data storage efficiency through pre-entry of points and the combination and import of multiple coordinate systems. The availability of multiple statistical charts, such as the one map module and deformation curve, enriches the display of results and can serve as an effective tool for railway management and maintenance departments in handling high-speed railway monitoring data. [ABSTRACT FROM AUTHOR]