物联网温室环境调控系统

针对温室环境远程调控过程中自动控制参数无法修改或缺少远程手动控制模式的问题，设计了温室环境远程测控系统。系统可分为温室现场测控层、服务器层和用户应用层。现场测控层基于无线传感器网络获取温室内外环境信息，并配备了网络摄像头实时监测；服务器层以ARM为硬件平台，采用Linux C语言完成无线通信模块软件设计和服务器的设计；用户应用层基于Web和Andorid技术，构建提供温室内外即时环境信息查询和自动控制方法选择、控制目标调整、在线视频查看温室内部情况等功能远程终端。试验结果表明，本系统自动测控周期最短为5s，数据传输误码率和丢包率较低，能够满足实时、可靠监测的需求，视频图像流畅清晰，操作简单，界面友好，提高了温室环境测控系统的适用性。

Greenhouse Environment Network Control System

To resolve the problems that the auto control parameters can not be modified according to the staggered demand or the manual control mode can not be remotely switched during the greenhouse environmental control process, a greenhouse environmental control system was developed based on embedded Web server. The system was divided into three levels: the local greenhouse measurement and control layer, the embedded Web server layer and the user adaptation layer. In the local greenhouse measurement and control layer, a wireless sensor network was used to collect air temperature, humidity, light and carbon dioxide. And a real-time video monitoring system was installed to enrich the information of local greenhouse. In the server layer, the embedded BOA server guaranteed the communication between the hardware and users. In the user adaptation layer, the administrator could directly check the greenhouse environment and control equipment manually through dynamic HTML page or the Android application. Besides, users could remotely access the webcam in greenhouse so that they could observe running status of the equipment and growth status of the crop in the greenhouse. To verify the reliability and practicability of the system, the greenhouse environmental control experiments were conducted. The process of greenhouse environmental control was simulated for cucumber during northern winter. Taking the temperature as main parameter and the humidity and the light as auxiliary parameters, the data collected from the trials showed that the process of auto measurement and control took 5s at least, and the process of manual measurement and control took 3s at least. It indicated that the system was reliable and stable for greenhouse environment monitoring and controlling.