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Analysis of Air Temperature Distribution Inside a Cold Store by Means of Geostatistical Methods

机译：通过地质统计方法分析冷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 (3.75×2.64×2.38 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：冷藏系统温度控制的目的是通过生产内的最大温度偏差保持平均温度。温度是采后质量的关键因素，其信念通常支持它在冷藏系统中良好控制和均匀。冷库显示不均匀的空气温度分布，并产生与冷和热点相关的质量问题是众所周知的。存储系统中的空气温度控制通常与存储在容易可访问的位置的商店中的一个或有限数量的温度传感器相关。本研究的目的是通过地质统计方法模拟和分析沿着冷库的垂直计划中的时空温度分布。讨论了使用这些信息来确定所需的空气温度传感器的最小数量，并且可以获得更好的气候控制的位置。在应用地统计方法的实验性冷库内评估了时空空气温度变化。冷库（3.75×2.64×2.38米）配备A / C单位。安装了36个定期分布式空气温度传感器的垂直网格。它每天转移0.35米，以应对10个垂直平面中的冷储存的3.75米。将每个平面设置为在1个基准/最小频率的24小时内进行测量。为每个垂直平面构建经验变速仪。评估各种变形仪模型以适合数据集，并且使用普通的时空kriging方法来预测温度值。结果表明了在冷藏系统中研究采后过程时必须考虑的温度分布梯度。地质统计方法证明是研究时空空气温度分布的有用工具，通过改善气候控制性能，将有助于更好的采后产生均匀性。

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