Study On The Internet Of Things System Of University Intelligent Classroom Based On Mobile Data Linear Mining

In the teaching activities in Colleges and universities,the indoor teaching environment is always the most important platform for students to experience learning and to receive professional education and practice.Good management of the classroom,good indoor teaching interaction,is to improve the quality of teaching in Colleges and universities,improve the quality of students learning experience.Traditional classroom management mode in the modern teaching needs and professional characteristics,is weak.Based on the Internet of things technology and data mining technology,the classroom management,student attendance,equipment management,teaching and learning activities,such as intelligent hardware and software integration of intelligent classroom application system,become the development of college education management.First,the analysis of the wisdom of classroom system research background and the requirement of the system analysis,summarizes the system functional requirements,including: indoor environment intelligent perception,and indoor lighting,doors and windows and teaching equipment for intelligent control,interior lighting,doors and windows and teaching equipment state real-time intelligent monitoring,air conditioning and ventilating fan intelligent open and display status monitoring function for adjusting and teaching.Secondly,based on the analysis of the characteristics of the data source of mobile platform,a linear data mining mechanism is established through curve fitting analysis.Then,the system architecture design,system network architecture design,system function mod ule design,and so on,given the University intelligent classroom system design scheme.Finally,from the system to achieve the main technology,system functions and system installation and commissioning,and other aspects of the University intelligent cla ssroom system implementation plan.The study improved the algorithm of the mobile data aware linear data mining,it have a batter sense of mobile data sources and th eir difference,and the mobile data size.The study optimized the data mining scheme,the data structure,the coordinate vector and the storage format,and to improve the utilization rate of the storage space;the study combined the internet application technology of things with the data mining technology,it used software platform,hardware platform and integration technology to solve the problems of university classroom disturbance trapped in intelligent control.