Design Of Dormitory Group Intelligent Management Platform System Based On TOMCAT Serve

Under the constant shock of the internet,the “Internet of Everything” era will become a reality with the development of intelligence.With the passing of time,universities will tend to implement the “intelligent dormitory” action.Looking at the intelligent dormitory mode,this paper proposes the new mode of intelligent management of the dormitory group based on Tomcat server.The research contents of this paper include the following two parts:(1)Design of the software systemTargeting the problems of the traditional dormitory mode,this paper proposes effective solutions and then develops the intelligent management system of the dormitory group with verification.The intelligent management system of the dormitory group adopts JAVA language and SSM framework to set up the platform,design the algorithm through MATLAB language,uploads the hardware data to the One NET cloud and interacts the data with the software platform through the PC.Through system practice,this paper divides the authority of different users and realizes the intelligent management system of the dormitory group.On the one hand,it may improve the data interaction of electronic devices between the administrator and inhabitants and give timely feedback of some of the potential dangers.Also,the administrator may rapidly verify the inhabitant information through the system and perfect the management of said system.On the other hand,the inhabitants may realize remote control of different electronic devices through the system and optimize their experience in the dormitory.(2)Algorithm research of intelligent dormitory divisionIn the module of intelligent dormitory division,based on the traditional Chameleon algorithm,this paper proposes the KSNN-Chameleon(K-Shared Nearest Neighbour-Chameleon)algorithm based on the student generality.Through three stages,namely rarefaction,graphic partitioning and merging,the improved KSNN-Chameleon algorithm allocates students with generality or complementation to the same cluster.The experimental result shows that the KSNN-Chameleon algorithm not only ensures good stability and accuracy in face of R-type high-latitude cluster issues.Compared with the traditional Chameleon algorithm,the cluster precision of KSNN-Chameleon has been improved by 20.88%;and the cluster time has been improved by 2.73%.