Design And Implementation Of Smart Campus Supervision And Inspection Platform Based On Data Fusion

In the process of information construction,universities gradually build smart campuses.The role of smart campuses is to provide convenience for teachers and students in universities in many ways.Through the rational use of college data resources,promote teachers and students satisfaction with active service.In the context of a smart campus,this thesis makes full use of the data center,analyzes and designs a smart campus inspection and supervision platform based on data fusion in the field of daily management of teachers and students services.Build the mailbox of the principal of the data collection platform of the daily management work area of teachers and students services and the campus to take pictures,broaden the data sources;integrate the data on the daily management of teachers and students services,provide sufficient data,and improve the quality of the data;Data mining,find problems;perform statistical analysis on the problems,visually and diversely display;supervise and inspect the departments involved in the statistical analysis problems,improve work efficiency,and effectively solve the problems in the daily management of teachers and students.The smart campus supervision and inspection platform is mainly divided into three modules: data acquisition module,data processing module,supervision and inspection module.The first module data collection is mainly to broaden the feedback channels for teachers and students to serve daily management problems,and to increase the data source.The specially designed Web-side secretary's mailbox and mobile campus photos are readily available;the second-largest module data processing mainly includes data fusion,Data mining and statistical analysis,using data fusion to extract,transform and load data in the daily management field of teachers and students to further increase the amount of data and improve data quality Combined analysis of hot issues,word vectorization,similarity calculation combined with analysis of specific aspects of hot issues,word vectorization,dimensionality reduction,cluster analysis combined with analysis of common problems,word vectorization,classification model training to achieve automatic distribution of letters,continuous training optimization Short text analysis model,and finally use statistical analysis visualization tools to richly and intuitively display data mining data;the third major module supervision and inspection is to make decision-making applications on the statistical analysis results generated by the data processing module,and point-to-point relevant departments.Direct question Supervision,promote problem-solving,improving department efficiency.This thesis is based on the research and analysis of the intelligent campus supervision and inspection platform of data fusion,and the design and implementation of the platform are based on the three cores of data collection,data processing,supervision and inspection.On the premise of ensuring the security of the platform,develop new teachers and students serving problems in the daily management work area,collecting and feedbacking the platform,the principal's mailbox,and taking pictures on campus,integrating the system platform of teachers and students' service in the daily management work area,carrying out efficient data processing and supervision,effectively improving the efficiency of problem handling,and improving teachers and students satisfaction.Through testing to ensure the performance of each part of the platform,a smart campus supervision platform based on data fusion was constructed.