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Implementation of optimal greenhouse control: Multiple influences approach

机译:实现最佳温室控制:多种影响方法

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Recently, many educated farmers have adopted automated greenhouse control systems to increase productivity while reducing their labor cost in greenhouse management. In this paper, to increase level of automation, we propose a reliable greenhouse control system that runs without human intervention based on multi-variable control scheme, which concurrently takes various inner and outer environmental factors into account. To cool or heat a greenhouse in an efficient way, we introduce a cooling and a heating load being calculated from sunlight level, outer temperature, and wind speed as well as inner temperature. Each actuator is then controlled by its own control parameters which are tightly associated with these load amounts. The proposed control scheme has been tested in a real greenhouse, and experimental results showed that inner temperature was consistently controlled according to users setting while obtaining minimum number of actuator operations (i.e., ventilation, curtain, and heater).
机译:最近,许多受过教育的农民采用了自动温室控制系统,以提高生产率,同时降低温室管理中的劳动力成本。在本文中,提高自动化水平,我们提出了一种可靠的温室控制系统,无需基于多变量控制方案的人为干预,这同时考虑了各种内部和外部环境因素。以有效的方式冷却或加热温室,我们引入冷却和从阳光水平,外部温度和风速以及内部温度计算的加热负荷。然后,每个致动器通过其自身的控制参数控制,其与这些负载量紧密相关。所提出的控制方案已经在真正的温室中进行了测试,实验结果表明,根据用户设置一致地控制内部温度,同时获得最小致动器操作(即通风,窗帘和加热器)。

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