The Design Of Smart Library Based On Architecture Of Big Data Platform

With the development of the times,the functions of the library have been continuously enriched and the business has been continuously expanded.With the support of the Internet and the IoT technology,the library has established a series of automatic systems.The automatic system expands the content of library services and improves the service.It is an important part of digital library.However,the automatic systems are often developed and deployed by different companies and the systems are independent of each other,the phenomenon of “Isolated Data Island” is widespread.With the proposal of “Smart Library”,using the latest information technology,we have opened up information barriers in various automatic systems,established a library information center,and combined library business goals with data mining algorithms and tools for readers of massive libraries.Data mining,analysis,discovery of the laws and knowledge,and ultimately guide the library managers to better deploy resources and management work,provide readers with more intelligent library knowledge services is an important direction for the development of modern libraries.Under this background,this paper takes the university library as the research object,and builds the Smart Library data center based on the big data platform.On this basis,this paper implements a decision support system,a reporting system,a mobile library,a library robot,and other application systems for a Smart Library.Based on K-means,Researching User Profile in University Library.Work done as follows:(1)Through the analysis of the basic data and business of the university library's automatic systems,the needs of the construction of the smart library were sorted out,and the construction scope of the Smart Library of the thesis was defined.(2)Based on Hadoop technology,the architecture of the Smart Library was designed and the data standard of the library's data center was completed.Through ETL and other technologies,the processing of big data collection,cleaning and storage of the library was realized;The design of the interface was completed,and finally the big data platform was built.(3)Based on the big data platform,combined with the backstage architecture of microservices,the system of library decision support systems,library reports,mobile libraries,etc.was implemented,and the final achievement was given.Finally,based on user portrait technology and reader behavior data,the library readers' portraits are studied and implemented.The research content and achievements of this thesis originate from the practical needs of library informationization construction.The research and implementation system has been successfully applied in many universities.