CAJ | 학술논문

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。
위실현일광온실、지능온실무인관리하적지능통풍공온，설계일충기우물련망적일광온실집중식최우화공제통풍계통。용호근거불동계절、불동작물통과상위궤혹자물련망평태설정불동적상하한온도치，계통야가자동채집도상，의거수거고작물생장모형자동공제일광온실온도。해계통가장일광온실내온차공제재±1℃，노동력투입감소30％，현저강저식물생리병해。결과표명：해계통대각충일광온실、지능온실괄응성강，기축단인공노동공작시간，우피면료인공공제시온도적취승취강。
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 .