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Assessment of a relative-humidity sensor for the monitoring of moisture-content changes in stored malting barley through sorption equilibrium models

机译:通过吸附均衡模型评估用于监测杂种大麦的水分含量变化的相对湿度传感器

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We have assessed a relative-humidity sensor in five storage bins equipped with temperature sensors and filled with malting barley. Three bins were aerated with ambient air and two were not aerated. The moisture content (m.c.) of grain was measured and also calculated from automatically measured relative humidity and temperature, using the modified Chung-Pfost equation and a new one, the Jacobsen equation. The Jacobsen equation gives better results than the modified Chung-Pfost equation. The greatestdiscrepancy was under adsorption (cooling aeration) conditions. The difference from the measured moisture content is +2.3 percent m.c. to the calculated moisture content using the modified Chung-Pfost equation and +1 percent m.c. using the Jacobsen equation; a gap of 1.3 percent m.c..
机译:我们在配备有温度传感器的五个储物箱中评估了一个相对湿度传感器,并充满了麦芽大麦。三个箱子充气,环境空气,两个没有充气。测量晶粒的水分含量(M.C.)并使用改性的仲-PFOST方程和新的曲线等方程,从自动测量的相对湿度和温度计算。 jacobsen方程比改进的Chung-PFOST方程提供更好的结果。伟大的嗜好(冷却曝气)条件是在吸附(冷却通气)的情况下。与测量的水分含量的差异是+ 2.3%的百分比。使用改性的Chung-PFOST方程和+ 1%M.C的计算水分含量。使用jacobsen方程;差距为1.3%..

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