餐饮云平台系统的设计与实现

发布时间：2018-01-07 18:33

本文关键词：餐饮云平台系统的设计与实现　出处：《北京交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：如今,现代服务业成为推动经济转型升级的重要引擎,而餐饮行业作为现代服务业的重要组成部分,急需创新力量来促进其发展。“互联网+”的普及与发展,为实体经济的改革与创新提供了广阔的互联网平台。于是,“互联网+餐饮”这一新型模式应运而生。“互联网+餐饮”就是利用信息通信技术和互联网平台,将互联网与传统的餐饮行业进行融合,创造出新的发展方式。目前,越来越多的餐饮企业将互联网技术融于到日常的餐饮管理业务中,尝试使用智能化的信息管理平台,对整个餐厅的服务进行系统化的管理。因此,餐饮云平台管理系统的设计与开发具有十分重要的实践意义与应用价值。本文所设计的餐饮云平台管理系统主要分为餐饮管理后台、预订管理、到店餐饮、统计分析四个子系统。餐饮云平台管理系统前端采用Bootstrap框架,后端使用了 Spring、MyBatis框架,数据库选用PostgressSQL。作者独立开发和设计的模块主要包含权限管理、餐厅主数据管理、账单管理和运营统计分析四个模块。权限管理模块包含权限维护和权限授予功能,即把可授权对象分为根角色、衍生角色和用户;权限分为菜单权限、数据权限和按钮权限;把权限通过勾选的方式授权给可授权对象。餐厅主数据管理模块是对餐厅数据进行管理,并完成和主数据平台同步的模块,同时提供一些Http Restful接口。餐饮主数据模块包含公共基础数据维管理、菜品管理和餐厅综合管理三个模块。账单管理模块是餐饮系统中最重要的部分。从顾客开始点餐到最后顾客结账的整个流程都离不开账单,账单记录了用户所点的菜品信息、套餐信息、餐台信息和餐位信息。在顾客结账时,还需要调用顾客的个人信息,即在顾客信息满足一定条件时,自动进行打折、抹零甚至挂账等操作。运营统计模块属于餐饮云平台的统计分析子系统的一个模块,用来统计分析餐厅的运营情况,具体包括商品销售统计、收银统计、餐台利用率统计、退菜统计和接待人数统计等统计功能。运营统计的结果以表格和柱状图的形式展示,能为商家的运营决策提供依据。目前,餐饮云平台管理系统一期经过测试已经投入使用,本项目开发和设计的各个模块均能够正常运行。该系统为餐厅和消费者提供了便捷的服务,也为商家决策分析提供了有力保证。
[Abstract]:Today, the modern service industry has become an important engine to promote economic transformation and upgrading of the food and beverage industry as an important part of modern service industry, need innovation to promote their development. The popularization and development of Internet plus ", provides a broad platform for the reform and innovation of the Internet economy. So, this model came into being mode Internet plus dining". "Internet plus food" is the use of information communication technology and the Internet platform, the integration of Internet and traditional catering industry, creating new ways of development. At present, more and more catering enterprises will Internet technology into the daily food and beverage management business, try to use intelligent information management platform on the whole, restaurant service system management. Therefore, the design and development of catering cloud platform management system has very important practical significance and should be Value. Management system catering cloud platform is designed in this paper is mainly divided into the background of catering management, booking management, catering to the store, the statistical analysis of four subsystems. Catering cloud platform management system front-end using Bootstrap framework, uses a Spring backend, MyBatis framework, database selection PostgressSQL. author independent development and design of the module mainly contains permissions the main restaurant management, data management, billing management and operation of the statistical analysis of four modules. The permission management module contains permissions permissions and maintenance function, which can be divided into the authorized object root derived role, role and user permissions; divided into menu permissions, data access and permission to access button; by the way of selecting to be authorized the owner of a restaurant. The authorized object data management module is to manage the restaurant data, and complete the main module and data synchronization platform, while providing some Http Restful Export of food and beverage. Data module includes public data management, food management and comprehensive management of three modules. The restaurant bill management module is the most important part of the catering system. From the start point of the meal to the whole process of customer end customer checkout all cannot do without the bill, the bill records the user order information package information, information table and table information. In the customer checkout, call the customer personal information is needed, namely in the customer information to meet certain conditions, automatic discounts, or even losses. The operation of Maling operational statistics statistics module belongs to the catering cloud platform to analyze a module of the subsystem, the operation for statistical analysis the restaurant, including merchandise sales statistics, cashier statistics, table utilization statistics, statistics and retreat food reception number statistics statistics. Operation statistical results in table and column charts Show, can provide the basis for the operation of business decision-making. At present, catering cloud platform management system in a period after testing has been put into use, each module of the project development and design can be normal operation. The system provides convenient service for restaurants and consumers, but also provides a strong guarantee for the business decision analysis.

【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09

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