摘要：在现如今的电子信息技术化领域内，正发生着一场具有着深远影响的数字化。由于广泛应用的计算机技术及与之关联的生产技术的进步，越来越多的将其应用于现实社会的各类生产活动中。尤其是对于一些数据密集型产业需要对其产生的数据进行大批次的计算，与之对应的就是对数据存储空间的需求也随之提高。因此，数据压缩技术已然成为当今数字通信、广播、存储以及多媒体娱乐领域中的一项不可或缺的关键技术。  80766

本次论文课题主要研究和探索如何实现对web端设备监控数据的下载与压缩，应用java编程实现了对于数据模型、REL的压缩算法的数据的下载及压缩。选择何种接口实现数据的下载功能，并使得可以用最少的数据表达尽可能多的信息，并且占用尽可能小的存储空间和保真度高的无损数据，来达到提高信息的传输速率。

毕业论文关键词： Web；数据压缩；数据下载；无损压缩；数据模型；

Device monitoring data for web download and compression

Abstract:

    In today's field of electronic information technology, there is a far-reaching impact with the digital revolution。 As a result of the extensive application of computer technology and associated with the production technology advances, more and more will be applied to the real world of various types of production activities。 Especially for some data-intensive industries need to produce large amounts of data for their calculations, and the corresponding is the demand for data storage space also increased。 As a result, data compression technology has become an indispensable key technology in the field of digital communications, broadcasting, storage and multimedia entertainment。

This paper focuses on the research and exploration of how to achieve the web side of the equipment to monitor data download and compression, the application of java programming for the data model, REL compression algorithm to download and compress the data。 What kind of interface to choose to download the data function, and makes it possible to use as little information to express as much information as possible, and occupy as little as possible storage space and high fidelity data loss, to improve the transmission rate of information。

Keywords: Web;Data compression;Data download; Lossless compression; Data model; 

目录

摘要 i

Abstract i

目录 ii

1 绪论 1

1。1 课题开发背景 1

1。2 课题开发意义及目的 1

1。3 压缩技术的研究现状 2

1。4 基于Web+Services的网络数据传输 4

1。5 几种常用的无损压缩算法 6

1。6 下载技术 7

1。7 开发工具 9

2 总体设计 11

2。1 需求分析 11

2。2 系统功能结构图及其描述 11

2。3 设备数据分析 12

2。4 数据库设计 13

2。4。1 E-R图 13

2。4。2 关系模式 14

2。4。3 系统数据表