| With the increasingly extensive application of information technology in colleges and universities,especially the digital campus in various universities in-depth construction and development of the campus card system by the major colleges and universities of all ages,after years of development,the card system matures,more and more applications Widely,in the daily teaching,management and service play an increasingly important role.At the same time,the accumulation of a large number of data around the card,these massive data are an important resource,how to make better use of these data for the management of colleges and universities to provide decision-making,is worthy of a study.This thesis takes the consumption data of students' dining credit card in North China Electric Power University as the research object,analyzes and classifies the data,analyzes and integrates the data,analyzes the data,data processing,data mining,data analysis and so on,Credit card strength,window settings,usually weekends and other data mining,the establishment of efficient management of logistics canteen analysis model.In this thesis,the temporal and spatial distribution of logistic cottage load is studied,and the load balancing method between the floors of the same canteen is explored.The relationship between the number of POS machines and the number of loads is studied,and the relationship between the meal time and the number of POS machines is studied.Through the advanced visualization technology to the above analysis model intuitive display,the analysis results easy to understand.The research process of this article is easy to understand,easy to promote,the conclusion is intuitive and easy to understand,the university logistics canteens have reference value,improve the management level of the logistics canteens,fast and accurate service,to enhance the attendance of teachers and students have a very good promotion,has a high use value and practical significance. |
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