农业物联网平台的研究与实现

发布时间：2018-03-24 10:51

本文选题：物联网　切入点：农业大棚　出处：《北京邮电大学》2014年硕士论文

【摘要】：近年来,互联网行业得到突飞猛进的发展,物联网技术得到了更加广泛的应用。现如今,物联网技术已经在人类的生产、生活的多个领域发挥重要作用。本文分折了物联网技术给各行各业带来的发展、机遇以及遇到的瓶颈,通过了解国内外目前物联网技术发展的情况以及农业物联网的发展背景,研究和实现了农业物联网平台系统。系统针对农业大棚具有的地域广阔,分布分散,种植物种类多样性等众多特点,通过将互联网平台中的各种数据处理技术运用到农业物联网平台系统中,从而实现实时大棚数据采集信息并发送到数据控制中心,有效处理大棚内传感器节点采集的各项环境数据以及快速的响应用户的各种请求,从而达到实时检测农业大棚环境状态的目的,保证农作物的正常生长,提高其产量。论文分析了平台系统的数据采集、数据存储、平台服务接口定义、性能稳定等需求。使用传感器节点采集环境因子数据,通过网络将数据发送到平台进行处理,同时提供各种前端服务接口。从而可以满足各种客户端的需求,实现了模块之间的低耦合,同时确保系统内数据的稳定传输。论文给出了平台的实现背景和意义,然后对平台进行了需求分析、设计和实现,并通过测试验证了平台功能的正确性。最后,对平台的不足和后期工作进行了描述。
[Abstract]:In recent years, the Internet of things industry has been rapid development, the Internet of things technology has been more widely used. Nowadays, the Internet of things technology has played an important role in human production, life in many fields. In this paper, the development, opportunity and bottleneck of Internet of things (IOT) technology in various industries are analyzed. Through the understanding of the current development of IOT technology at home and abroad and the background of the development of IOT in agriculture, Research and implementation of agricultural Internet of things platform system. Aiming at the characteristics of agricultural greenhouse, such as wide area, scattered distribution, diversity of species and plant species and so on, the system applies all kinds of data processing technology in the Internet of things to the agricultural Internet of things platform system. In order to achieve real-time greenhouse data acquisition information and send to the data control center, effectively processing the various environmental data collected by sensor nodes in the greenhouse and responding to user requests quickly. Therefore, the environmental condition of agricultural greenhouse can be detected in real time, and the normal growth of crops can be ensured and the yield will be increased. This paper analyzes the data acquisition, data storage, service interface definition, performance stability and other requirements of the platform system. The sensor node is used to collect the data of environmental factors, and the data is sent to the platform through the network for processing. At the same time, it provides various front-end service interfaces, which can meet the needs of various clients, realize the low coupling between modules, and ensure the stable transmission of data in the system. The paper gives the implementation background and significance of the platform. Then, the requirement analysis, design and implementation of the platform are carried out, and the correctness of the platform function is verified by testing. Finally, the shortcomings of the platform and the later work are described.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.44;TN929.5

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