Railway Passenger Travel Big Data Platform Architecture Design And Key Technology Reaserch

With the continuous improvement of living standards,people's demand for tourism becomes higher and higher.Meanwhile,more personalized,and self-determined travel style is more and more needed.The railway,as the preferred mean of transport,plays a pivotal role in tourism.The continuous development of tourism and railway transport of passenger directly stimulates relevant data volume increasing exponentially at a dramatic rate.Railway transport of passenger has entered the era of big data.The explosively growth of data scale,extensively complicated data type,rapid generation and dynamic evolution of data flow,together with the low density of data value utilization,all these create a data set,which,depend on traditional IT technology,hardware and software,cannot be perceived,accessed,managed,processed or served within tolerated time",—big data.By summarizing relevant literature from domestic and overseas,this paper takes the Internet thinking as the core,and firstly enforces demand analysis for the core users in the railway transport—passengers depend on four major nodes.Then carries out research on the current situation of the data distribution of railway transport of passenger and tourism related industries.Combining passengers5 demand and data management,this paper puts forward the overall demand of "Railway Transport of Passenger and Tourism Big Data System." By the demand analysis,this paper designs the architecture of "Railway Transport of Passenger and Tourism Big Data System."Firstly,according to the demand analysis,the principles of architecture design and the whole scheme are studied.By the principle and scheme,The overall architecture,application architecture and technical architecture of the system are designed in detail.Furthermore,in this study,the architecture of the various parts are finished with the detailed design,including data acquisition,master data management,data storage and processing,data applications and data quality management system.At last,three core functions,such as crowd migration prediction,residual ticket estimation and tourist spot heat display,are carried out with practical examples.To meet travel demand of rail passenger,this paper carries out the research and designs to provide the constructional projects for big data services of relevant industries.To solve the problems that railway transport of passenger industry involves many crossings with other industries,and the application system has serious barriers,this paper provides with thoughts and directions.