Research And Implementation Of University Smart Dormitory System Based On Data Mining Technology

With the continuous development of information technology,many colleges and universities have taken the construction of smart campus as the key content in the strategic planning of school development.Dormitory is an important part of colleges and universities.Due to the increasing number of college enrollment,traditional dormitory management methods have faced increasing challenges.At the same time,contemporary college students have also raised the service provided by college dormitory.Claim.Therefore,the use of information technology to develop a smart dormitory system that can improve the efficiency of dormitory management and meet the individual needs of college students is a hot research topic.In view of the dormitory allocation problem in dormitory management,this paper creates and implements two distribution schemes:the first automatic distribution scheme based on data mining technology,which is based on cluster analysis technology in data mining,will make work habits,personality,interest Students with similar characteristics such as hobbies are arranged in the same room.The program fully respects the individual differences of students and the individual needs of students,and helps to create a good and harmonious dormitory atmosphere.The second independent housing selection program,the new program With the reference information of similarity,the students can check the average similarity between the selected students in the optional room and their own characteristics in the self-selected room.The similarity display can provide assistant decision-making for the students to choose the room,which is convenient for students.Choose the room that suits you best.This paper takes the information construction of college dormitory management as the background,analyzes the feasibility of the smart dormitory system from the perspective of software engineering,designs the network architecture and logical architecture of the system,and divides the system function module into the following four parts:system management Module,dormitory information management module,accommodation management module,daily management module.The system management module includes student information management,dormitory administrator information management,and college information management.The dormitory information management module includes building information management,room information management,and information statistics.The accommodation management module includes student characteristic information management,self-selecting houses,and arranging for accommodation.Confirmation of check-in,accommodation management,lodging management,automatic allocation of dormitory,daily management module includes notification announcement management,health score management,visitor record management,public property repair management,late return record management.The relationship between the entities in the system is analyzed and a detailed database table is designed.This paper uses the currently popular SSM(Spring,Spring MVC,MyBatis)framework,AJAX technology and MySQL database to implement the smart dormitory system,elaborates the implementation process of the four functional modules,and demonstrates the system's implementation effect.Through the use of data mining technology-based college smart dormitory system can effectively improve the efficiency of dormitory management,make the process of distributing dormitory more humane,meet the individual needs of students,and contribute to the construction of smart campus.