基于大数据的学生食堂点餐系统的设计与实现毕业论文（终稿）+初稿+开题报告+开题答辩PPT+中期报告+毕设成果登记表+答辩稿+毕业答辩PPT+JavaSSM项目源码及数据库文件

发布时间：2024年01月19日

摘 ?要

近年来随着高校的扩招，大学生人数越来越多，食堂里面的菜肴也变得五花八门，但学生每天都面临着不知吃什么的问题，当前学校食堂提供的服务满足不了学生多样化的需求。

学生食堂是为学生提供用餐服务的重要场所，在现阶段中，大多数学生食堂的用餐人数较多，但食堂设施却较为落后，无法满足师生的点餐服务需求。在信息化时代中,互联网+学生食堂点餐系统的设计，能有效改善上述问题,让学生食堂服务得到优化，提高食堂管理的质量效率。

本文以学生食堂为研究对象，通过大数据技术实现了一套智能化的点餐系统。该系统采用Java开发语言，使用SSM框架进行开发，使用Mysql数据库进行数据存储。首先，通过分析学生食堂的运营状况和用户需求，确定了系统的功能需求和技术实现方案。然后，对学生食堂的菜品进行了大数据分析，包括菜品销售量、用户评价等，以此为基础，建立了菜品推荐模型和用户行为分析模型。最后，根据以上分析结果，开发了系统的前端界面和后台逻辑，实现了菜品推荐、用户行为分析、快速点餐等功能。实验结果表明，该系统能够有效提高学生食堂的服务质量和用户体验，具有一定的实用性和推广价值。

Abstract

In recent years, with the expansion of colleges and universities, the number of college students is increasing, and the dishes in the canteen have become varied. However, students face the problem of not knowing what to eat every day. The current services provided by the current school canteen cannot meet the diverse needs of students.

Campus canteen is an important place to provide dining services for students. At the present stage, most campus canteens have large numbers of diners, but the canteen facilities are relatively backward, which cannot meet the ordering service needs of teachers and students.In the information age, the design of the Internet + campus canteen ordering system can effectively improve the above problems, make the campus canteen service be optimized, and improve the quality and efficiency of the canteen management.

This paper takes the student canteen as the research object, and realizes a set of intelligent food ordering system through the big data technology. The system uses the Java development language, developed using the SSM framework and uses the Mysql database for data storage. Firstly, by analyzing the operation status and user requirements of the student canteen, the functional requirements and technical implementation scheme of the system are determined. Then, the big data analysis of the dishes in the student canteen, including food sales, user evaluation, etc. Based on this, the dish recommendation model and user behavior analysis model are established. Finally, according to the above analysis results, the front-end interface and background logic of the system are developed, realizing the functions such as dish recommendation, user behavior analysis, fast ordering and so on. The experimental results show that the system can effectively improve the service quality and user experience of the student canteen, and has certain practical and promotion value.

目 ?录

文章来源:https://blog.csdn.net/qq_43368615/article/details/135664528
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基于大数据的学生食堂点餐系统的设计与实现 毕业论文（终稿）+初稿+开题报告+开题答辩PPT+中期报告+毕设成果登记表+答辩稿+毕业答辩PPT+JavaSSM项目源码及数据库文件

摘 ?要

Abstract

基于大数据的学生食堂点餐系统的设计与实现毕业论文（终稿）+初稿+开题报告+开题答辩PPT+中期报告+毕设成果登记表+答辩稿+毕业答辩PPT+JavaSSM项目源码及数据库文件