基于无线传感器网络的设施农业环境监控系统研究

发布时间：2018-04-26 22:13

本文选题：设施农业 + 无线传感器网络　；参考：《南京农业大学》2014年硕士论文

【摘要】：设施农业是现代农业的主要生产方式之一,目的是通过人工改善自然环境,实现高效生产。设施农业环境监控是设施农业现代化的重要基础,内容是运用现代信息技术和自动化技术对设施环境进行实时监测和智能化调控,达到作物生长需求。传统的手动、机械、分布式电控等设施环境监控手段,存在布线繁琐、成本高、精度低等缺陷。无线传感器网络自20世纪70年代出现后,以其自组网、低功耗、低成本、灵活性强等优势迅速在军事、工业及农业等领域得到广泛应用。本课题以无线传感器网络技术研究为基础,设计了一套经济、实用的设施农业环境监控系统。针对设施环境监控的特殊要求,本课题采用无线通信、嵌入式系统以及自动控制等技术对设施环境监控的软硬件系统进行设计,建立了针对温室空气温湿度、光照度、CO2浓度、土壤湿度等参数采集及环境调节机构无线控制的低功耗无线传感器网络,通过开放的人机交互界面完成环境参数的查询、存储和简单分析,同时可通过策略管理接口自主设置环境调控的策略依据,智能干预温室环境调控。本课题设计了无线传感器网络低功耗测定试验,对节点电源管理电路的性能及寿命进行了测定与评估,试验表明：使用双电源管理电路、3节南孚AA电池,可维持节点11019.8h(约459.2天)的使用寿命。运用高斯滤波和线性回归等方法建立了设施番茄种植环境下433MHz射频信号传输的衰减模型,试验表明：衰减模型的预测值与实测值之间的相对误差控制在7%以内,具有较高的预测精度。本课题研究成果在南京市蔬菜花卉科学研究所实地运行,结果表明：方案设计规范合理,功能稳定,满足设施农业环境监控需求。
[Abstract]:Facility agriculture is one of the main modes of production in modern agriculture, which aims to improve the natural environment and realize efficient production. The environmental monitoring of facility agriculture is an important foundation for the modernization of facility agriculture. The content is to use modern information technology and automation technology to monitor and control the facility environment in real time and intelligently, so as to meet the demand of crop growth. The traditional manual, mechanical, distributed electronic control and other facilities environment monitoring methods, such as cumbersome wiring, high cost, low precision and other defects. Since the emergence of wireless sensor networks in the 1970s, wireless sensor networks have been widely used in military, industrial and agricultural fields because of their advantages of self-organizing, low power consumption, low cost and strong flexibility. Based on the research of wireless sensor network (WSN), a set of economical and practical environmental monitoring system for facility agriculture is designed in this paper. In order to meet the special requirements of facility environment monitoring, the software and hardware system of facility environment monitoring is designed by wireless communication, embedded system and automatic control, and the temperature and humidity of greenhouse air, light intensity and CO _ 2 concentration are established. The low power wireless sensor network, which collects soil moisture and other parameters and controls the environment by wireless, completes the query, storage and simple analysis of the environmental parameters through the open man-machine interface. At the same time, the strategy basis of environment regulation can be set up independently through the strategy management interface, and the intelligent intervention of greenhouse environment control. In this paper, the low power measurement test of wireless sensor network is designed, and the performance and lifetime of node power management circuit are measured and evaluated. The service life of the node can be maintained at 11019.8h. (about 459.2 days). The attenuation model of 433MHz RF signal transmission was established by using Gao Si filter and linear regression method. The experimental results show that the relative error between the predicted and measured values of attenuation model is less than 7%. It has high prediction accuracy. The research results of this paper are running in Nanjing vegetable and Flower Science Research Institute. The results show that the scheme design is reasonable, the function is stable, and it can meet the needs of environmental monitoring and control of facility agriculture.
【学位授予单位】：南京农业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP212.9;S316

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