物联网技术在温室大棚环境中的应用研究

发布时间：2018-01-12 19:27

本文关键词：物联网技术在温室大棚环境中的应用研究　出处：《吉林大学》2014年硕士论文　论文类型：学位论文

【摘要】：物联网是一个新兴的技术，它是将无线传感器、RFID、嵌入式系统和计算机网络等进行结合而产生的一种技术，现在已经被广泛应用于很多领域，如矿山勘测、地铁监控等，并且取得了良好的应用效果，产生了较好的效益。物联网在农业生产领域的应用对我国来说还是一个较新的课题。温室大棚在农村存在已久，主要靠人工去进行管理和监控，作为农民增收的重要项目，温室大棚集约化管理是必要的，这样可以节省大量的人力和物力，节省生产成本。本文的研究内容正是将物联网应用于设施农业的温室大棚。自动化技术应用于农业生产在近些年来在我国已经有了一些进展，更多的是机械化种植和收获，而对于自动化维护和管理所做的工作还比较少，对于自动化技术应用于温室大棚也有了相关的研究，包括对温室环境参数的采集，然后数据传给上位机进行监管，更多的是对温度和湿度的监控，但是还处于实验阶段，，没有被大面积的推广。本文研究的内容是以实际项目为背景，旨在获得更广泛的应用。本文研究的主要内容是构建温室大棚环境物联网监测系统。设计了系统的总体架构，本系统主要由数据采集终端和服务器构成。构建了采集终端的模型，数据采集部分主要包括温度采集、湿度采集、光照采集和二氧化碳浓度采集等。选择采集芯片和设计测量电路，数据采集主要采用无线传感器网来完成，描述了网络构建过程。传感器网络中的汇聚结点我们采用基于arm的S3c2410核心板，S3c2410具有较强的数据处理能力，能够根据需要编译和烧录系统内核，采用电源供电。采集的数据通过接入网络传输到服务器端进行存储和处理，本文设计了显示终端实时显示和管理采集的数据，对于异常情况能够自动报警。领域支持作为服务器工作的一个部分，这里包含两方面内容：领域知识库和预测模型。在农业专家的帮助下构建了温室大棚领域知识库，领域知识库主要由两个部分构成：词条和推理。详细记载着一般作物的生长特性，并且能够根据作物现有呈现的特征进行状态推理。利用服务器采集的数据作为主要的样例数据，同时也利用了工程数学上的最小二乘法实现了采集参数的预测拟合曲线，这也是本文的一个创新点，这也更有利于指导温室种植技术。本系统将来会同升降温系统、加减湿度系统、调节光照系统和调整二氧化碳浓度系统实现有效连接。实现最终的温室大棚环境的自动化管理。
[Abstract]:Internet of things is a new technology, it is a combination of wireless sensor RFID, embedded system and computer network. It has been widely used in many fields. Such as mine survey, subway monitoring and so on, and achieved good results. The application of the Internet of things in the field of agricultural production is still a relatively new topic in China. Greenhouse greenhouses have existed in rural areas for a long time, mainly rely on manual management and monitoring. As an important project to increase farmers' income, intensive greenhouse management is necessary, which can save a lot of manpower and material resources. The research content of this paper is to apply the Internet of things to greenhouse shed of facility agriculture. In recent years, the application of automation technology in agricultural production has made some progress in China. More mechanized planting and harvesting, but for automatic maintenance and management of the work done is relatively small, for automation technology in greenhouse has also been relevant research, including the collection of greenhouse environmental parameters. Then the data passed to the host computer for supervision, more on the temperature and humidity monitoring, but is still in the experimental stage, has not been widely spread. The content of this paper is based on the actual project as the background. The aim is to get wider application. The main content of this paper is to build a greenhouse greenhouse environmental Internet of things monitoring system. The overall structure of the system is designed. The system is mainly composed of data acquisition terminal and server. The data acquisition part mainly includes temperature collection, humidity acquisition, illumination acquisition and carbon dioxide concentration acquisition. Select the acquisition chip and design the measuring circuit. The data acquisition is mainly completed by wireless sensor network. This paper describes the process of network construction. We adopt S3c2410 core board based on arm and S3c2410 has strong data processing ability. It can compile and burn the system kernel according to the need, and use the power supply. The collected data can be transferred to the server side to store and process the data through the access network. This paper designs the display terminal to display and manage the collected data in real time, which can alarm the abnormal situation automatically. The domain support is a part of the server work. It includes two aspects: domain knowledge base and prediction model. With the help of agricultural experts, the greenhouse greenhouse domain knowledge base is constructed. The domain knowledge base consists of two parts: entry and reasoning. It can use the data collected by the server as the main sample data. At the same time, the least square method of engineering mathematics is used to realize the prediction fitting curve of the acquisition parameters, which is also an innovation of this paper. This is also more conducive to guiding greenhouse planting technology. The system will rise and cool the system in the future, add and decrease the humidity system. Adjust the illumination system and adjust the carbon dioxide concentration system to realize the effective connection and realize the automation management of the final greenhouse environment.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.44;TN929.5

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