简述了一种结合Internet网络和嵌入式技术的远程温室监控系统。系统采用移动终端作为监控端,通过全球移动通信系统GPRS控制温室内的喷灌设备、通风设备和照明设备;移动终端可以通过Internet网络登录Cortex-A8信息处理器上构建的Web服务器BOA和网络视频服务器MJPG-streamer,实现实时视频监测温室现场。信息采集模块构建无线传感器网络,采集温室内的温度、湿度、光照强度、CO2浓度等参数信息,并将数据发送到Cortex-A8信息处理器,最终以HTML网页的形式显示在Android手机端。实验表明,系统真正实现了多温室远程移动监控,解决了传统温室监控系统受办公地点限制、需要人工现场操作及不够智能化的问题。
This paper describes a combination of the Intemet network and embedded technology of remote monitoring tem of greenhouse. The traditional greenhouse monitoring system has complex wiring for a lot of power line and signal sysline must to be laid. It is easy to cause damage that the line changed when the plants replacement in the greenhouse. In addition, system can transmit the collected signal to the PC, which can be observed by the staffs. And when the environmental parameters is over the upper or below the lower limit, the staffs can control the device on the scene. It also restricted by working place. This system uses the Android mobile phone as a monitoring terminal to control sprinkler irrigation equipment ventilation equipment and lighting equipment in greenhouse by the GPRS, logining Web server BOA server and MJPG server which are built on the Cortex-AS information processor to monitor the scene of the greenhouse through the Internet. The information acquisition module collects parameters in the greenhouse such as temperature, humidity, light intensity and CO2 concentration. And then the information acquisition module sends the data to the Cortex-A8 infor- mation processor which can be displayed in the form of HTML pages. The staffs can observe the greenhouse in the real - time anywhere, check environment situation and input control command to the equipment on the scene by the HTML page. Experiment shows that the greenhouse field video displays clearly and the control equipment is sensitive, then control parameters , such as temperature and humidity , is well within the expected range. This system realizes mobiles remote monitor many greenhouses. It also solved the problems such as the restricted by location, need artificial site operation and not intelligent.