摘要
为实现日光温室、智能温室无人管理下的智能通风控温,设计一种基于物联网的日光温室集中式最优化控制通风系统。用户根据不同季节、不同作物通过上位机或者物联网平台设定不同的上下限温度值,系统也可自动采集图像,依据数据库作物生长模型自动控制日光温室温度。该系统可将日光温室内温差控制在±1℃,劳动力投入减少30%,显著降低植物生理病害。结果表明:该系统对各种日光温室、智能温室适应性强,既缩短人工劳动工作时间,又避免了人工控制时温度的骤升骤降。
In order to control the temperature of the greenhouse without people , a greenhouse centralized optimization control ventilation system based on the internet of things was introduced .To accurately control the temperature , user ac-cording to different seasons and crops set different upper and lower temperature and motor working time , also the system can automatically control temperature according to the crop growth model of automatic .The system is able to control the difference in temperature between the actual temperature and the most suitable temperature , significantly reduce plant physiological disease .The test results showed that： the system can adapt to various greenhouse .It is not only shorten working hours of manual labor , but also to avoid large temperature changes when the manual control .
出处
《农机化研究》
北大核心
2015年第9期113-117,共5页
Journal of Agricultural Mechanization Research
基金
山东省自主创新专项(2012CX90201)
关键词
日光温室
通风
物联网
集中式
最优化
greenhouse
ventilation
internet of things
concentration
optimization
