Study On The Railway Line Selection Case Warehouse System

In the whole process of railway design,line design is the overall work that affects the whole situation.The quality of line scheme will directly affect the technical feasibility,safety and economic applicability of railway.An efficient and comprehensive system can help designers better store and manage railway route selection cases,and dig out the valuable design experience and rules.Aiming at the problems of low degree of information sharing and low comprehensive utilization rate of data exposed in the traditional railway line design data management,this paper adopts the methods of theoretical analysis,statistical analysis,model simulation and empirical research to carry out optimization research on the railway line design element system and the case base system of railway line selection data.Through the research of this paper,the similarity algorithm and correlation analysis methods have a deep understanding,the establishment of railway line case similarity matching model.At the same time,it analyzes the difference and correlation of the technical indexes of railway lines,and designs the overall framework and functional modules of the case base system,which has far-reaching practical significance and promotion value for the reuse of railway line data.The research results of this paper are as follows:(1)To form a set of comprehensive railway line case elements system.According to form lines case basis for each factor,sustainability and complexity,the railway line case the elements are divided into line technology design elements,environmental impact,project construction and social economic elements elaborates the influence factors of four types,and the elements in the case of railway line selection and detailed characterization,based on the system at the same time,in accordance with the standard of mathematical model for railway lines to reclassify case data,divided into two groups of different types of data collection,combined with information entropy method and Pearson correlation coefficient of similarity calculation model is set up.By inputting the characteristic indexes of the target selection line cases into the case base,the similarity calculation,comparison and analysis with the historical cases are carried out,and the rationality of the similarity calculation model is verified.(2)For railway line selection case data,the characteristics of complex structure,use of statistical knowledge,design case statistical line selection scheme,selection of case and the railway line selection principle and correlation analysis method is carried on the thorough understanding,through the methods of inspection,frequency analysis and difference between the different technical indicators of the rule,explores the technical indexes between the statistical characteristics.The results show that there are different degree of correlation between the technical indexes,and it is consistent with the practical design principles.Therefore,the statistical analysis method can be used to realize the reuse of line data,which is conducive to extracting the design experience contained in line data.(3)Based on Node.js development environment and Mongo DB database,combined with similarity similarity algorithm model and technical index statistical scheme,the overall design of the system is carried out from the aspects of logical architecture,development architecture,physical architecture and data architecture.According to the mapping principle of Baidu Map API,the function module of line data visualization based on B/S mode is developed.At the same time,the functions of case uploading,collection,inquiry,recommendation and statistical analysis are realized,and the system is tested with a case of railway route selection from Lhasa to Nyingchi.The results show that the system has certain practicability and effectiveness.In this paper,there are 64 figures,19 tables,and 88 references.