基于云服务的智慧数据分析处理系统设计+源代码

本系统主要是基于云服务,通过微信公众号进行数据采集处理和识别。云计算技术作为计算机行业的新兴技术,它将促使计算机领域快速发展,使得数据资源得到充分的利用。


摘   要:随着互联网技术的高速发展,各行业对于云计算技术的需求激增。随着数据总量的成倍增长,面对庞杂无序的海量信息,我们需要对接收到的数据进行有效的分析处理,识别出我们需要的信息。而云计算技术的发展提高了人们对于数据分析处理的工作效率,在其中发挥着巨大的作用。

本系统首先研究了云计算技术,搭建了智慧数据的云处理平台。对微信公众平台进行二次开发,研究了基于云平台的智慧数据的识别处理技术。在研究工作中,通过手机客户端获取周边的数据,将数据发送给微信公众号,通过搭建的微信服务器接收数据,并将其打包成XML(Extensible Markup Language, XML)数据包发送给云服务器。文本和语音消息可以通过微信公众平台提供的API(Application Programming Interface, API)进行实时的处理识别。

本文研究了云计算技术和云服务平台,并将其应用到数据分析处理系统中,实现了基于云服务的智慧数据分析处理系统,从而解决了传统数据分析处理系统所存在的问题,大大提高了数据处理识别的效率,并且减少了成本,缩短了开发周期,借助云平台使数据的处理识别技术更加方便的服务于用户。

关键词:云服务;数据采集处理;数据识别;云平台

Abstract:With the rapid development of Internet technology, various industries have demand surge for cloud computing technology. With the multiply growth of the total amount of data, for complex and disorderly information, we need to analyze and process the received data effectively, and identify the information we need. The development of cloud computing technology has improved people’s work efficiency in data analysis and processing, in which played a huge role.

The system first studied the cloud computing technology, built a Intelligent data cloud processing platform. The system has carried on the secondary development on Micro public platform, and studied the intelligent data identification and processing technology based on cloud platform. In study, the user collects the surrounding data through the mobile client, and sends the data to the Micro public platform. The system receives the data through the Wechat server, and packs it into XML (Extensible Markup Language, XML) packets and sends to the cloud server. Text and voice messages can be identified and processed in real time through the API (Application Programming Interface) provided by the Micro public platform.

This article studies the cloud computing technology and cloud service platform provided by SAE, and applies it to the data analysis and processing system. The intelligent data analysis and processing system based on cloud service is realized, which solves the problem existing in the traditional data analysis system, improves the efficiency of data processing, reduces the cost and shortens the development cycle, and makes the data processing and identification technology more convenient to serve the user through the cloud platform.

Keywords: cloud service; data collection and processing; data identification; cloud platforms

目  录

第一章  绪论 1

1.1  课题研究背景 1

1.2  课题研究意义 1

1.3  国内外发展现状 2

1.3.1  国外发展现状 2

1.3.2  国内发展现状 3

1.4  论文结构 3

1.5  本章小结 3

第二章  系统关键技术 5

2.1  云服务和云平台简介 5

2.2  JAVA语言 5

2.3  微信公众号 5

2.4  数据采集处理识别技术 6

2.5  本章小结 7

第三章  系统分析与设计 8

3.1  系统介绍 8

3.2  系统设计原则 8

3.3  整体结构设计 8

3.4  模块设计 9

3.4.1  公众号模块设计 9

3.4.2  服务器模块设计 10

3.5  本章小结 11