毕业论文移动版

摘要随着“云计算”和“物联网”技术的广泛普及，高校教育信息化的要求不断的提高，教育信息化迎来了新的机遇。大数据的出现，掀起一股教育信息化改革热潮。大数据对各行各业发展和决策产生了重要的作用，在教育领域，大数据让校园业务流程、教学模式、基础模式、教育信息等产生巨大改变。在当今信息化环境下，高校越来越注重校园信息化建设。校园网络是信息化建设的基础，随着大数据时代的到来，智慧校园网络信息服务日益宽广。本文从大数据定义出发，分析大数据来源、特征。解析智慧校园网络基本定义和特征，从大数据的挖掘、存储、分析方面结合智慧校园网络发展目标，分析高校智慧校园网络面临的挑战，在大数据的基础上给出智慧校园网络总体设计目标原则和总体架构，简单设计出物理结构与空间构造相融合的系统，并分析其中需要的技术，展示智慧校园网络在各个平台的应用。73711

该论文有图11个，表格4个，参考文献25篇。

毕业论文关键词：大数据  智慧校园网络  云计算  物联网  信息化

Design and application of intelligent campus network based on the background of big data

Abstract

With the widespread popularization of "cloud computing" and "Internet of things" , requirements of the education informatization in colleges and universities has been increasingly improved。 From this, the education informatization has ushered in a new opportunity。 The emergence of big data sets off a boom in educational information reform。 Big data plays an important role for the development and decision-making in all walks of life, in the area of education, big data has made huge changes on campus business process, teaching mode, basic model, educational information, etc。。In today's information environment, colleges and universities pay more and more attentions to the construction of campus informatization。 As the foundation of information technology, intelligent campus network services information in a increasingly broad field with the arrival of big data era。 Starting from the definition of big data, this paper will analyze its sources and characteristics。 Then, by resolving the basic definition and characteristics of intelligent campus network and by combining the excavation ,storage as well as analysis of big data with the development goals of intelligent campus network, this paper will discuss the challenges faced by intelligent campus network in colleges and universities。 In addition, on the basis of large data, this paper will offer a overall design principle and overall architecture of intelligent campus network, make a simple design of the integration system of physical structure and spatial construction, and analyze the needed technologies, showing the application of intelligent campus network in various platforms。

 This paper includes 11figures, 4 tables and 25 bibliographies。

Key Words: big data  intelligent campus network  cloud computing  Internet of things  informatization

目录

摘  要 III

Abstract IV

目录 V

图清单 VII

1绪论 1

1。1 课题研究的背景 1

1。2 课题研究的意义 1

1。3 本设计的主要工作 2

2 大数据 3

2。1大数据的定义 3

2。2大数据特征 (责任编辑：qin)