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An optimized control method of multifactor for greenhouse microclimate based on crop photosynthesis rate

机译:基于作物光合速率的温室小气候多因素优化控制方法

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According to the recent situation that there is less feasible greenhouse controlling strategy been presented, an optimized energy-saving control method of multifactor for greenhouse is proposed in this paper considering of photosynthetic rate of crops. The data of crops photosynthesis rates in greenhouse are acquired by field tests. Using the data of solar radiation and CO concentration inside greenhouse in Jiading, Shanghai, the light-photosynthesis and CO-photosynthesis response curves are fitted respectively. Thus, via these fitting photosynthesis models and the collected climate data, we could get the real-time crops photosynthetic rate, which is modified in the respect of other greenhouse environment factors, such as temperature and CO concentration. Finally, take the environmental multifactorial control algorithm, already in use, as the basic control strategy, a feasible control output is computed and given, so as to promote crop photosynthesis yield and reduce greenhouse control cost. This control strategy integrates with three simplified models, crops growth model, greenhouse control model and energy consumption model.
机译:针对目前温室控制策略不可行的现状,结合作物的光合速率,提出了一种优化的温室多因素节能控制方法。通过田间试验获得温室​​中作物光合作用的数据。利用上海嘉定大棚内太阳辐射和CO浓度的数据,分别拟合了光合作用和光合作用的响应曲线。因此,通过这些合适的光合作用模型和收集的气候数据,我们可以获得实时的作物光合作用速率,该速率在其他温室环境因素(例如温度和CO浓度)方面进行了修改。最后,以已经使用的环境多因素控制算法为基本控制策略,计算并给出了可行的控制输出,以提高作物的光合作用产量,降低温室控制成本。该控制策略与三个简化模型(作物生长模型,温室控制模型和能耗模型)集成在一起。

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