基于ZigBee无线传感器网络的温室测控系统设计

发布时间：2017-12-27 18:30

本文关键词：基于ZigBee无线传感器网络的温室测控系统设计　出处：《青岛科技大学》2015年硕士论文　论文类型：学位论文

【摘要】：温室种植是设施农业的重要构成部分,现有的大部分温室测控系统依然采用有线传输,该方式存在着难以布线、难以维修等缺点。即使是采用无线传输方式的温室测控系统也存在着功能简单、扩展性差、控制精度低等缺点。物联网、无线传感器网络的出现促进了农业现代化与信息化、自动化的融合,加快了农业由传统生产模式向智慧生产模式转变。具有成本低、功耗低、自组织等特征的ZigBee协议,特别适合应用于短距离低速率数据传输的无线传感器网络中。文本在分析了国内外温室监测控制系统的发展情况和中国农业生产的实际情况后,开发了基于ZigBee无线传感器网络的温室测控系统。本系统根据功能分为传感层、网络层和应用层,并对传感层和应用层进行了设计。传感层为具有星型拓扑结构的无线传感器网络,通过ZigBee协议组播的方式进行信启、的传输。采用模块化的思想对节点进行硬件设计,针对温室内黄瓜的生长需求选择数字型温湿度、二氧化碳、光照强度传感器等作为感知模块；CC2530作为控制模块和无线通信模块；低压差线性稳压器提供电源管理功能；采用定时器加中断的方式产生脉冲宽度调制信号,从而对控制设备进行控制；CH340T芯片完成异步串行通讯协议与通用串行总线协议的变换,保证数据传输的准确性。对节点的工作流程以及数据净荷的结构进行了设计,为协调节点进行数据融合做好铺垫。应用层为运用Visual Studio 2010集成开发环境和Sql Server 2008数据库管理软件开发的基于客户机／服务器架构的监测控制系统,具有数据显示、参数设置、信息发布等功能,并对数据库和数据净荷的结构进行了设计。采用按需配置的云服务器,提高了系统的运算能力、可扩展性、安全性和可靠性。本温室测控系统集温室测控、天气预报、农业技术发布等功能于一体,为用户提供了一个农业物联网整体解决方案。温室内温湿度存在耦合度高、延时大、非线性等特点,无法得剑准确的数学模型,不适合采用传统的控制算法。而模糊控制根据专家经验进行模糊推理,不需要精确的数学模型就可达到精确控制的效果。本文将模糊控制和模糊补偿解耦算法应用到温室测控系统中有效解决了温室内温湿度存在的问题,获得了较高的控制精度。
[Abstract]:Greenhouse cultivation is an important part of facility agriculture. Most of the existing greenhouse monitoring and control systems still use wired transmission, which has many shortcomings such as difficult wiring and hard maintenance. Even the greenhouse measurement and control system with wireless transmission also has the disadvantages of simple function, poor scalability and low control precision. The emergence of Internet of things and wireless sensor network has promoted the integration of agricultural modernization and informatization and automation, and accelerated the transformation from traditional production mode to intelligent production mode. The ZigBee protocol, with low cost, low power consumption and self-organization, is especially suitable for wireless sensor networks which are used for short range and low rate data transmission. After analyzing the development of greenhouse monitoring and control system and the actual situation of agricultural production in China, a greenhouse monitoring and control system based on ZigBee wireless sensor network is developed. The system is divided into sensing layer, network layer and application layer according to the function, and the sensing layer and application layer are designed. The sensor layer is a wireless sensor network with a star topology, which is transmitted through ZigBee protocol multicast. Using the idea of modular hardware design of node, according to the demand growth of Cucumber in greenhouse selection of digital temperature and humidity, carbon dioxide, light intensity sensor as the sensing module; CC2530 as control module and wireless communication module; low dropout linear regulator provides power management function; using the timer and interrupt way to generate a pulse width modulation signal thus, control of the control device; CH340T chip asynchronous serial communication protocol and USB protocol transformation, to ensure the accuracy of data transmission. The work flow of the node and the structure of the data payload are designed to paving the data for the coordination nodes. The application layer monitoring client / server architecture control system based on the use of Visual Studio 2010 integrated development environment and Sql Server 2008 database management software, with data display, parameter setting, information release and other functions, and database and data payload structure design. The use of on-demand cloud servers improves the computing power, scalability, security and reliability of the system. The greenhouse monitoring and control system integrates functions of greenhouse monitoring, weather forecasting and agricultural technology release, providing users with an overall solution of Agricultural Internet of things. Temperature and humidity are high degree of coupling, time-delay, nonlinear, accurate mathematical model of the sword can not suitable for use, the traditional control algorithm. And fuzzy control is based on the expert's experience to make fuzzy reasoning, and the exact control effect can be achieved without the need of accurate mathematical model. In this paper, fuzzy control and fuzzy compensation decoupling algorithm is applied to the greenhouse control system effectively solves the problems of greenhouse temperature and humidity, get a higher control precision.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S625;TN92;TP212.9

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