一种基于刷卡数据判断食堂拥挤状态的方法  

A Method for Judging Crowded Canteen by Swiping Data of Card

作　　者：张鲁 李坤伦[1] 赵佳钐 柴艳娜[1] ZHANG Lu;LI Kun-lun;ZHAO Jia-shan;CHAI Yan-na(Educational Technology and Network Center,Chang′an University,Xi′an Shaanxi 710064)

机构地区：[1]长安大学教育技术与网络中心,陕西西安710064

出　　处：《数字技术与应用》2021年第4期134-136,共3页Digital Technology & Application

摘　　要：高校作为人员密集场所,在疫情期间应采取措施避免食堂拥挤。本文选择校园卡刷卡数据作为基础,开发拥挤模型将数据可视化,通过前端展示并集成至微信公众号方便师生查看。基于刷卡数据的“拥挤指数”实现师生错峰就餐的预期,既有助于疫情防控,又提高了用餐效率。As a crowded place,universities should take some measures to avoid overcrowding in canteens during the epidemic.This paper chooses the swiping data of the campus card as the basis,and develops a crowded model to visualize data,which is displayed on the web page and integrated into WeChat for easy viewing.The‘crowding index’based on card-swiping data has realized the expectations of teachers and students eating off-peak,which not only helps epidemic prevention and control,but also improves dining efficiency.

关 键 词：拥挤指数 时间窗口 刷卡数据 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]