Research On The Design Of Smart Campus Service Based On IoT

At present,Ministry of Education of the People's Republic of China is vigorously promoting the construction of smart campus.However,universities are still in the digital stage,from digitalization to intelligence,many problems remain to be solved.The main problem is that the campus data is only digitalized but not informationalized,different system data are stored individually,campus has accumulated a large number of isolated data in the process of informatization,such as the data of the educational system,the borrowing data of the library system,the consumption data of the "one-card-pass" system,and all other different system data.Due to the application system is independent,for example,the OPAC system of the library and the administrative system cannot exchange data with each other,the data is difficult to share.Therefore,it is so difficult for digital campus to transit to smart campus,and the aim of this study is unified all system complete data on campus information process,by face recognition based on the technology of Internet of things hardware unified data collection sources,in unified management system,the background,precipitation after calculation and analysis data to obtain valuable campus big data.By studying the pain points of digital campus construction,analyzing user needs through user survey,user interview and other methods,this study clarifies the design method of the service system based on the Internet of things.By combining user needs with the construction factors of the Internet of things,a complete set of intelligent campus service system is developed.This system is mainly divided into two parts: The first part,Based on Internet of things intelligent face recognition hardware: use of the Internet of things technology,network communication technology,wireless sensor network technology and other technology)to ensure face recognition hardware in place such as library,bedroom,dining room,classroom behavior between teachers and students collected data efficient real-time synchronization to the smart campus big data system background,as a main data source of big data analysis on campus.The second part,Smart campus big data analysis platform: into the front end design,front-end: display real-time data,including IC card consumption data between teachers and students,teachers and students of library data,student performance data,the rate of students to the bedroom,teacher's scientific research data,the teachers' scientific research project data,and the core of the teachers and students behavior portrait;Background: system based on the Hadoop distributed computing framework for hardware collecting scattered mass data storage and calculation,dug up behind the scattered data resource usage behavior data image between teachers and students and the school,through the analysis of these data can provide reference for school managers improve management quality,and to their teachers and students more effective learning and teaching plan to offer help.