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首页> 外文期刊>Acta Horticulturae >Analysis of air temperature distribution inside a cold store by means of geostatistical methods.
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Analysis of air temperature distribution inside a cold store by means of geostatistical methods.

机译：利用地统计方法分析冷藏库内的空气温度分布。

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The objective of temperature control in cold storage systems is to maintain an average temperature limited by a maximum temperature deviation within the produce. Temperature is a key factor in postharvest quality that is usually supported by the belief that it is well controlled and uniform in cold storage systems. Cold stores show non-uniform air temperature distributions and produce quality problems related to cold and hot spots are well-known. Air temperature control in storage systems is usually related to one or a limited number of temperature sensors in the store that are placed in locations easy accessible. The aim of this study was to model and analyze spatio-temporal temperature distributions in vertical plans along a cold store by means of a geostatistical approach. The use of this information to determine the minimum number of air temperature sensors needed and their location for better climate control is discussed. The spatio-temporal air temperature variation was assessed inside an experimental cold store applying geostatistical methods. The cold store (3.75x2.64x2.38 m) was equipped with an A/C unit. A vertical grid of 36 regularly distributed air temperature sensors was installed. It was shifted 0.35 m each day in order to cope with the 3.75 m length of the cold store in 10 vertical planes. Each plane was set to take measurements during 24 hours periods at 1 datum/min frequency. Empirical variograms were constructed for each vertical plane. Various variogram models were evaluated to fit the dataset, and an ordinary spatio-temporal kriging method was used to predict temperature values. The results show temperature distribution gradients that have to be accounted for when studying postharvest processes in cold storage systems. Geostatistical methods proved to be a useful tool for the study of spatio-temporal air temperature distributions that will contribute to better postharvest produce uniformity through improved climate control performance.
机译：冷藏系统中温度控制的目的是保持平均温度受农产品内最大温度偏差的限制。温度是收获后质量的一个关键因素，通常认为，温度在冷藏系统中得到了很好的控制和均一，这证明了这一点。冷藏库显示出不均匀的空气温度分布，并产生与热点和热点有关的质量问题，这是众所周知的。存储系统中的空气温度控制通常与存储中一个或数量有限的温度传感器相关，这些温度传感器放置在易于访问的位置。这项研究的目的是通过地统计方法对沿冷库的垂直计划中的时空温度分布进行建模和分析。讨论了如何使用此信息来确定所需的最小空气温度传感器及其位置，以便更好地进行气候控制。使用地统计方法在实验冷藏库内评估时空空气温度变化。冷库（3.75x2.64x2.38 m）配备了一个A / C单元。安装了由36个规则分布的空气温度传感器组成的垂直网格。每天将其移动0.35 m，以便在10个垂直平面上应对3.75 m的冷藏库长度。每架飞机均设置为在24小时内以1基准/分钟的频率进行测量。为每个垂直平面构造经验变异图。评估了各种变异函数模型以拟合数据集，并使用普通的时空克里金法来预测温度值。结果表明，在研究冷藏系统中的收获后过程时，必须考虑温度分布梯度。事实证明，地统计方法是研究时空温度分布的有用工具，通过改善气候控制性能，有助于提高采后生产的均匀性。

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