Research And Implementation Of One-station Service Platform Of Smart Campus Based On Mobile Terminal

With the rapid development of university information construction and popularization of mobile terminals,the traditional PC-based application of digital campus is difficult to solve the contradiction between the user’s access information in real-time and the user’s mobility.This paper researches and implements a One-station Service Platform of Smart Campus. Through the integration of resources and making the teaching, scientific research, information and employment application integrated into a mobile portal to provide one-station service platform based on mobile terminals for students and teachers.First, this paper researches and designs a "lightweight" application architecture of smart campus one-station service platform on mobile terminal, which should include the data cache/persistence layer, plateform support, network access layer and the mobile terminal access layer.Secondly, through the analysis of technologies of mobile terminal one-station service platform, deciding to adopt the J2EE development technology which is a easy and transplantable cross-platform,and to select the integration is more simple and higher operating efficiency of SM (SpringMVC+MyBatis) framework, and to optimize the database performance,and to add the memory database Redis in the persistence layer to improve the system’s request-response speed, so to build a high-performance software architecture on the server. Developing multiple applications on mobile terminals for teachers and students, such as personalized campus news, free classroom, email, Lost, employment recruitment, rewards and loans, card, forums and so on. In order to ensure the normal front-end applications, it is necessary to build a high availability architecture which can prevent single point’s failure and Web server’s overload, the paper proposes LVS+Keepalived load balancing technology and Nagios visually monitors the load balancer, Web servers, database services and resources.If the system resources and services are abnormal to provide alert functions. Building a high-performance and high-availability system architecture to protect the friendly front-end’s applications.Finally, the paper proposes building models and establishing prediction methods which are based on massive data of the smart campus to analyse and forecast user’s behavior trends, to provide users with personalized services. Finally, by the analysis of the number of visitors who access the idle classroom module, to provide reference data for system operation and maintenance personnels.