Design And Implementation Of Ballastless Track Online Monitoring Data Information Management System

With the gradual formation of China’s high-speed railway network,the development focus of high-speed railways has shifted from construction to operation.Ballastless track is the main foundation for high-speed trains.In recent years,the service state has deteriorated significantly.Under the coupling of environmental temperature,train dynamic load,rain and other factors,structural diseases such as cracking,defection,and voiding of ballastless track slabs occur frequently.The existence of these diseases seriously affects the smoothness and comfort of high-speed trains,and even endangers the safety of high-speed railway operations.Therefore,online monitoring of key parameters of ballastless track service status,and scientific management and use of monitoring data using information management methods,have become important problems that railway engineering departments need to solve urgently.Based on the above objectives,this article uses a high-speed railway in East China as the project background,database as the core technology,and the premise of the project’s massive monitoring data storage,analysis,and management.At the same time,it considers the common needs of other online monitoring systems for data processing and analysis.The idea of combining with hardware has designed a ballastless track online monitoring data information management system.The main work is as follows:(1)Research on overall architecture design of ballastless track online monitoring system.According to the design principles of the track board online monitoring system and related technologies involved in the system development and design process,the overall framework of the ballastless track online monitoring system was established,and the system functions and structure were designed and analyzed.(2)An online monitoring database system centered on the relational database Oracle was established.According to the needs analysis of this system,the logical,conceptual,physical,and security design of the database is realized,and OLE-DB is used to connect to the database,and realize data communication between Visual Studio and Oracle.Effective management of massive monitoring data is achieved,and the timeliness,informatization,and convenience of data management are improved,a large number of data storage problems are solved,and the utilization rate of monitoring data is improved.(3)Research on pre-processing method of ballastless track monitoring data and establishment of early warning model.By means of consulting data,theoretical analysis,etc.,the data is pre-processed using statistical methods,filling missing values and excluding outliers in monitoring data to ensure the authenticity of monitoring data and the validity of prediction results.Then according to the relationship between the meteorological parameters and the temperature of the orbital plate and the correlation between the change laws,the algorithms in machine learning are used to classify,establish early warning models and determine the early warning indicators,so as to achieve the assessment of the orbital structure service status.(4)Multi-source information fusion technology was used to embed the cloud server(ECS)into the "Ballastless Track Online Monitoring Data Information Management System",and developed We Chat mini-programs and client programs for monitoring point data query.Search technology in one.