基于物联网的数据采集与共享平台系统设计与实现

发布时间：2018-04-22 23:30

本文选题：物联网 + 数据采集　；参考：《南京邮电大学》2017年硕士论文

【摘要】：随着近年来计算机和信息技术的发展和应用,各领域的应用系统规模迅速扩大,从而导致应用所产生的数据呈现爆炸式的增长;如今人们对数据形式、类别的需求越来越多元化,对多元数据的联合利用与分析变得越来越重要,更安全、更高效的数据采集与共享方式成为人们迫切的需求;传统数据采集与共享方式在信息化的今天已经难以满足人们的需求,依靠射频识别技术(RFID)、传感器技术、视频识别技术、智能嵌入技术等物联网技术的数据采集与共享已经成为重要的趋势。本文分析了基于物联网数据采集与共享平台系统的开发背景及意义,通过实际的需求分析确定数据采集和数据共享的特点和待解决的主要问题,面向各行各业的用户人群提供实时数据存储与共享,为所有生产和消费行业数据的用户提供低门槛、高通用、高可靠的数据采集与共享服务。系统主要包括数据采集模块、数据分发模块、业务模块、存储模块、备份模块等模块,通过这些主要模块完成了数据的采集、发布、分析、存储和共享,本文对主要模块的设计和具体实现进行详细的描述和分析。为满足系统特性,采用Google Protocol Buffer和ZeroMQ技术提升系统的数据处理能力,使数据在接收、解析和发送的耗时达到最低,最大化的提升了数据采集和传输的性能。最后,本文借助RabbitMQ消息队列系统设计了相关的业务场景,并将此方法和其他方法进行了比较,通过数据接收和发送的执行效率来证明了本文提出的方法具有一定的优势。
[Abstract]:With the development and application of computer and information technology in recent years, applications in various fields have expanded rapidly, resulting in the explosive growth of data generated by applications. The demand of categories is becoming more and more diverse, and the joint use and analysis of multiple data become more and more important, more secure, more efficient way of data acquisition and sharing has become the urgent need of people; The traditional way of data acquisition and sharing has been difficult to meet the needs of people in today's information technology, relying on RFID technology, sensor technology, video identification technology, The data acquisition and sharing of Internet of things technology such as intelligent embedding technology has become an important trend. This paper analyzes the development background and significance of the data acquisition and sharing platform based on the Internet of things, determines the characteristics of data acquisition and data sharing and the main problems to be solved through the actual demand analysis. It provides real-time data storage and sharing for users in various industries, and provides low threshold, high general-purpose, high reliability data acquisition and sharing services for all users of production and consumption industries. The system includes data acquisition module, data distribution module, business module, storage module, backup module and so on. In this paper, the design and implementation of the main modules are described and analyzed in detail. In order to satisfy the characteristics of the system, the Google Protocol Buffer and ZeroMQ techniques are used to improve the data processing ability of the system, so that the time of receiving, parsing and transmitting the data is the lowest, and the performance of data acquisition and transmission is maximized. Finally, this paper designs the relevant business scenarios with the help of RabbitMQ message queue system, and compares this method with other methods. The efficiency of data receiving and sending is proved that the proposed method has some advantages.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.44;TN929.5;TP274.2

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