基于Android平台的高校网络订餐系统的设计与实现

计算机科学 ›› 2018, Vol. 45 ›› Issue (6A): 591-594.

基于Android平台的高校网络订餐系统的设计与实现

郝俊生¹,李冰锋¹,陈曦²,高文娟³

河南理工大学电气工程与自动化学院河南焦作454000¹
河南理工大学测绘与国土信息工程学院河南焦作454000²
深圳技师学院中德智造学院广东深圳518116³

出版日期:2018-06-20 发布日期:2018-08-03
作者简介:郝俊生(1995-),男,主要研究方向为自动化;李冰锋(1979-),男,博士,主要研究方向为机器学习;陈曦(1996-),男,主要研究方向为地理信息与智慧城市,E-mail:hpu_cx@126.com(通信作者);高文娟(1983-),女,主要研究方向为工业自动化。

Design and Implementation of Network Subscription System Based on Android Platform

HAO Jun-sheng¹,LI Bing-feng¹,CHEN Xi²,GAO Wen-juan³

School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo,Henan 454000,China¹
School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo,Henan 454000,China²
School of Sino-Germany Intelligent Production,Shenzhen Institute of Technology,Shenzhen,Guangdong 518116,China³

Online:2018-06-20 Published:2018-08-03

摘要/Abstract

摘要： 针对现阶段高校就餐高峰期餐厅拥挤、就餐困难、师生等待时间过长等问题,基于Android平台设计并开发了一款用于解决餐厅就餐高峰期拥挤问题的“高校网络订餐系统”。该系统由用户管理、在线点餐、线上支付和订单排号4部分组成。为确定单位时间订单数是否已达窗口最大容纳量,运用K均值算法对顾客排队时长进行特征聚类,提取基于菜品的顾客排队时长之间的相似性,并建立菜品窗口的最大容纳量标准。将窗口最大容纳量作为订单排号功能中单位时间用户订单量的最大容许值,通过“用户自选时间段-餐厅预做-到时取餐”的方式缓解餐厅拥挤问题。

关键词: Android, K均值算法, 高校餐厅, 聚类分析, 网络订餐

Abstract: For solving the problem of congestion,dining difficulty and boring waiting time in college dining peak period,this paper designed and developed a college network ordering system based on Android platform.The system consists of four parts,user management,online ordering,online payment and order sequence.In order to determine whether the number of orders unit time has reached the maximum capacity of the window,this paperd used the K-means algorithm to characterize the customerst’queuing time to extract the similarity between the customer queuing time based on the dishes and establish the maximum capacity of the window standard.It takes the maximum capacity of the window as the maximum allowable value of the user orders in the unit time.The proposed method can alleviate congestion problems by the mode of “user selecting time for free,making meal in advance and taking meal on time”.

Key words: Android, Clustering analysis, K-means, Network ordering, University restaurant

中图分类号:

TP311.52

郝俊生,李冰锋,陈曦,高文娟. 基于Android平台的高校网络订餐系统的设计与实现[J]. 计算机科学, 2018, 45(6A): 591-594. https://doi.org/

HAO Jun-sheng,LI Bing-feng,CHEN Xi,GAO Wen-juan. Design and Implementation of Network Subscription System Based on Android Platform[J]. Computer Science, 2018, 45(6A): 591-594. https://doi.org/

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