| In response to the requirements of the 14 th Five-Year Plan for logistics,the new infrastructure concept was proposed to further accelerate the digital transformation of logistics infrastructure.Undertaking the “13th Five-Year Plan” Belt and Road construction,this article takes the railway international intermodal transport as the research background,starting from the data exchange service,and researches the intermodal transport business service on the railway international intermodal transport platform under the support of the cloud computing technology architecture.The traditional information technology architecture has a limited effect on the digitization of logistics infrastructure.It can only initially realize the digitization of operations.The information system often deposits a large amount of valuable data that cannot be used.With the support of cloud computing technology,the computing power of the information system is greatly improved.On the basis of realizing the digitization of operations,the potential value of big data can be deeply explored,and the secondary development of data value can be realized.This article first introduces the current research status of railway international combined transport business,data exchange and cloud computing technology from both business and technology aspects.Sorted out the key business processes of international railway transportation at this stage,analyzed the demand points of the business process for data exchange,summarized the potential demand points in the operation process based on the business,and introduced tensor theory to fit the characteristics of big data to the data exchange system Perform analysis.Secondly,the data exchange system of the railway international combined transport platform is designed.From the perspectives of cloud computing and business process,the system architecture is analyzed and designed,and UML(Unified Modeling Language)is used for system prototype design,combined with cloud computing technology.Features,analyze the data exchange operation mode in the cloud environment,and design the exchange process and data secondary processing process.Then,using resource scheduling as the application direction,relying on the computing power of the cloud computing system,using data mining technology to construct two sets of resource circulation,based on the Laplace transformation and discrete Markov chain,the analysis shows that the stable distribution of resources Operation status,combined with user demand analysis results to give scheduling recommendations.Finally,use HTML language as the technical architecture language to develop an example of the railway intermodal data exchange system,and embed the Baidu map API to visualize some functions. |