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首页> 外文期刊>Applied Engineering in Agriculture >USING MICROWAVE SENSING TO INVESTIGATE KERNEL MOISTURE CONTENT AT THE FRONT AND BACK OF SEMITRAILERS DURING PEANUT DRYING
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USING MICROWAVE SENSING TO INVESTIGATE KERNEL MOISTURE CONTENT AT THE FRONT AND BACK OF SEMITRAILERS DURING PEANUT DRYING

机译:使用微波检测在花生干燥期间调查半拖车前后的核水分含量

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Several factors influence the effectiveness of peanut drying. Such factors include temperature and relative humidity of the air used for aeration, air velocity through the peanuts, and the presence of foreign material that could obstruct air flow. All of these factors can vary at any location in a semitrailer holding 20 to 25 tons of peanuts being dried. Therefore, it is highly unlikely that a volume of peanuts > 71 m(3) (2500 ft(3)) will dry uniformly. During the drying process, an operator removes samples of peanuts for kernel moisture content testing every 3 to 4 h to validate the estimated drying time determined by peanut-drying models used in the peanut industry. However, if samples are only taken from one location, it is likely that other locations differ in kernel moisture content. To investigate kernel moisture content near the front and back of the semitrailer, two peanut drying monitoring systems, each equipped with a microwave moisture sensor, were deployed at a peanut buying point in central Georgia during the 2014 and 2015 peanut harvest seasons. Each system monitored inshell kernel moisture content and drying parameters in real-time, every 12 s. In-shell kernel moisture content was determined with a standard error of prediction of 0.55% moisture when compared to the reference oven-drying moisture tests. The two monitoring systems were placed in 13.7-m (45-ft) drying semitrailers, one 3 m (10 ft) from the front and the other 3 m (10 ft) from the back. Data from the measurements were time-stamped and reconciled accordingly, and they were analyzed to compare the moisture loss in real-time at both locations in the trailer. The 12-s resolution provided a continuous moisture profile to analyze rather than the discrete profile currently provided by sampling every few hours. Results show that moisture loss, and therefore resulting kernel moisture content, can vary from one end of the trailer to the other during peanut drying. Therefore, systems that monitor peanut drying at various locations throughout the semitrailer would improve peanut drying efficiency.
机译:几个因素会影响花生干燥的有效性。这些因素包括用于通气的空气的温度和相对湿度,通过花生的空气速度以及可能阻碍空气流动的异物的存在。所有这些因素都可以在持有20至25吨花生的半拖车中的任何位置都有所不同。因此,花生体积> 71米(3)(2500英尺(3))非常不太可能会均匀干燥。在干燥过程中,操作者每3至4小时去除核水分含量测试的花生样品,以验证由花生行业中使用的花生干燥模型确定的估计干燥时间。但是,如果仅从一个位置取样,则可能在核水分含量方面可能不同。为了在Semitrailer的前后调查核水分含量,两个花生干燥监测系统,每个都配备微波水分传感器,在2014年和2015年花生收获季节的花生购买点部署在格鲁吉亚中部的花生购买点。每种系统都监测inshell核水分含量和实时干燥参数,每12秒都是实时的。与参考烘箱干燥水分试验相比,通过标准误差测定壳内核水分含量的标准误差。将两个监测系统置于13.7-m(45英尺)的干燥半拖液中,从前部和其他3米(10英尺)的3米(10英尺)。来自测量的数据被时间戳和协调相应,并分析它们以在拖车中的两个位置进行比较水分损失。 12-S分辨率提供了连续的湿度曲线,以分析,而不是每隔几个小时采样目前提供的离散配置文件。结果表明,水分损失,因此导致核水分含量,可以在花生干燥过程中从拖车的一端变化。因此,监测在整个半拖车整个位置的各个地点的花生干燥的系统将提高花生干燥效率。

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