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首页> 外文期刊>Acta Horticulturae >Real-time comparison of measured and simulated crop transpiration in greenhouse process control
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Real-time comparison of measured and simulated crop transpiration in greenhouse process control

机译：温室过程控制中测量和模拟作物蒸腾的实时比较

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Applying more intelligent algorithms in the process computers that control the greenhouse climate and irrigation may help growers to optimize crop growth and yields as well as save energy. A greenhouse process computer has been developed with an architecture that allows for easy implementation of custom algorithms without risk to control continuity. The system in question was demonstrated by implementing a transpiration model that predicts actual crop transpiration from greenhouse climate measurements. In addition, the process computer was connected to a system that calculates the transpiration rate from the rooting substrate weight, irrigation supply, drainage water and crop weight. The transpiration model was calibrated and validated with historical data from the weighing system collected at a Dutch commercial greenhouse from April to May 2014. Then, the model was implemented in the process control computer at commercial nurseries in The Netherlands and Texas USA, respectively. It can be assumedthat the model predicts the transpiration rate of a healthy and productive crop. Therefore, suboptimal crop-performance is indicated when the measured transpiration rate is less than predicted. In the time period when the tests were conducted, the cropsexhibited both low transpiration rates at midday and reduced transpiration rates due to insufficient irrigation. On those occasions, the process computer generated an alarm in order to warn the grower that a problem had occurred. This study demonstratesthat additional intelligence, such as simulation models, when implemented in a greenhouse process computer and combined with the appropriate measurements, can automatically alert the grower of potentially damaging conditions, e.g. reduced crop performance or a system malfunction in the greenhouse. The developed architecture will facilitate the design of new generation computer controls that take advantage of increasing knowledge of crop-functioning and other greenhouse processes.
机译：在控制温室气候和灌溉的过程计算机中应用更多智能算法可能有助于种植者优化作物生长和产量以及节省能源。使用架构开发了温室过程计算机，该架构允许轻松实现自定义算法而没有控制连续性的风险。通过实施预测温室气候测量的实际作物蒸腾的蒸腾模型来证明有问题的系统。另外，该过程计算机连接到系统，该系统从生根基板重量，灌溉供应，排水水和作物重量计算蒸腾速率。蒸散模型被校准并验证了来自2014年4月至5月至2014年5月的荷兰商业温室收集的称重系统的历史数据。然后，该模型分别在荷兰商业苗圃的过程控制计算机中实施，分别在荷兰和德克萨斯州美国。可以假设模型预测健康和生产性作物的蒸腾率。因此，当测量的蒸腾速率小于预测时表示次优作物性能。在进行测试时，在午间下午时段抑制杂散的低蒸腾率和由于灌溉不足而降低的蒸腾率。在这些场合，过程计算机生成了警报，以便警告发生问题的种植者。本研究规范表明额外的智能，如仿真模型，当在温室过程计算机中实现并结合适当的测量时，可以自动警告潜在损坏条件的种植者，例如，在温室中减少作物性能或系统故障。开发的架构将促进新一代计算机控件的设计，从而利用越来越多的作物功能知识和其他温室过程。

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