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Cloud platform based implementation method for take-out order online delivery

A cloud platform, offline technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to reduce pressure, increase sales, and improve efficiency

Inactive Publication Date: 2015-09-16
NANJING UNIV OF INFORMATION SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past food delivery process, due to cost issues, some merchants did not hire many delivery personnel, and many merchants have takeaway at the same location, which may easily lead to waste of personnel in the case of insufficient personnel

Method used

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  • Cloud platform based implementation method for take-out order online delivery
  • Cloud platform based implementation method for take-out order online delivery
  • Cloud platform based implementation method for take-out order online delivery

Examples

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Embodiment Construction

[0026] The present invention will be described in detail below in conjunction with the examples. The takeaway online delivery system based on the cloud platform provided by the present invention is mainly composed of a real-time data acquisition module, a Web server, a distributed cache module, a distributed file system (HDFS), an offline data processing module and a data access module, such as figure 1 shown. The specific delivery process is as follows: figure 2 shown.

[0027] The real-time data acquisition module is a background packet capture service APP on the mobile terminal. The Android version of the APP is written based on Android 5.0 and is compatible with Android 4.0 and above; the IOS version of the APP is written based on IOS 7.0 and is compatible with all versions above IOS 5.0. The APP is connected to the Internet to match the IP of the takeaway merchant. By monitoring the specific IP and port, it finds that there is a data flow, captures the data packe...

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PUM

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Abstract

The invention provides a cloud platform based implementation method for take-out order online delivery. The system is mainly composed of a real time data acquisition module, a Web server, distributed buffer memory modules, a HDFS (Hadoop Distributed File System), an offline data processing module and a data access module. By adopting a background service data real time acquisition program, a large amount of order data is processed by applying a cloud platform and a Storm distributed real time processing frame. Real time feedback is sent to delivery workers and uniform distribution is performed. Therefore, distribution efficiency is improved substantially and labor resource is saved. Besides, by adopting the distributed buffer memory modules, pressure of a server is reduced substantially. User behaviors and shop sales volume are predicated through MapReduce offline analysis, so that personal scheduling is carried out. A problem of lack of delivery workers in rainy days or at peak dinner hours is solved and shop sales volume can be increased. A condition that a shop has to close an online shop due to shortage of the delivery workers is avoided.

Description

[0001] [0001] Technical field: [0002] The invention relates to an online food delivery system based on a cloud platform, which belongs to the field of big data processing. Background technique: [0003] With the continuous development of industry and transportation, and the high concentration of urban population, most office workers and students in cities like to order takeaway because of time constraints. This phenomenon is especially evident with the rise of food delivery software such as "Ele.me" and "Meituan Waimai". However, most of the existing food delivery models use merchants to independently hire personnel to deliver, and there is no unified delivery solution. As a result, insufficient delivery personnel and other situations occur from time to time, and some merchants even temporarily close their online stores due to insufficient delivery heat sources. The consequence of this is to affect the turnover, and secondly, it may bring bad reviews from users, whi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/12G06F17/30
Inventor 刘琦蔡卫东肖博张凯李鑫
Owner NANJING UNIV OF INFORMATION SCI & TECH
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