郭文川, 王 婧, 朱新华. 基于介电特性的燕麦含水率预测[J]. 农业工程学报, 2012, 28(24): 272-279.
    引用本文: 郭文川, 王 婧, 朱新华. 基于介电特性的燕麦含水率预测[J]. 农业工程学报, 2012, 28(24): 272-279.
    Guo Wenchuan, Wang Jing, Zhu Xinhua. Moisture content prediction of oat seeds based on dielectric property[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(24): 272-279.
    Citation: Guo Wenchuan, Wang Jing, Zhu Xinhua. Moisture content prediction of oat seeds based on dielectric property[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(24): 272-279.

    基于介电特性的燕麦含水率预测

    Moisture content prediction of oat seeds based on dielectric property

    • 摘要: 为了给基于介电特性的小杂粮含水率测量仪的开发提供基础数据,该文以燕麦为对象,利用同心圆柱形电容器研究了测试信号频率(103~106 Hz)、燕麦含水率(12%~21%)、温度(5~40℃)和体积密度(671~787 kg/m3)对相对介电常数ε′和介质损耗因数ε″的影响,分析了介电参数变化的原因;建立了部分频率下燕麦介电参数与主要影响因素的关系模型,验证了模型的精度;检验了基于介电参数预测含水率的精度和可行性。结果表明,在103~106 Hz频段内,燕麦的ε′和ε″均随测试信号频率的增大而减小,但随含水率、温度和体积密度的增大而增大;可用三元或二元三次方程描述介电参数和主要影响因素的关系,且各模型的决定系数皆大于0.96;同烘干法获得的含水率相比,基于介电参数预测燕麦含水率的误差范围在±1.2%,说明基于介电特性预测含水率是可行的。本研究对了解燕麦的介电特性以及燕麦含水率检测仪的开发有重要的指导意义。

       

      Abstract: To provide basic data for the developing of moisture content sensors for coarse cereals based on dielectric properties, oat seed samples were used to study the effects of frequency (1-103 kHz), moisture content (12%-21%), temperature (5-40℃) and bulk density (671-787 kg/m3) on the relative permittivity ε′ and dielectric loss factor ε″ by coaxial-line cylinder capacitor. The reasons why permittivity changed with these factors were analyzed. Furthermore, the mathematical models between permittivity of oat seeds and main influencing factors at 103, 104, 5×104, 105, 5×105 and 106 Hz were established and validated. The results indicated that the relative permittivity ε′ and dielectric loss factor ε″ of oat seeds were decreased with the increasing of frequency, and increased with the increasing of moisture content, temperature and bulk density. The relationship between permittivity and main influencing factors can be described by ternary or binary cubic equations, with the coefficients of determination higher than 0.96. Compared with the moisture content obtained from oven drying method, the errors of predicated moisture contents of oat seeds based on dielectric properties at 104, 5×104, 105, 5×105 and 106 Hz were within ±1.2%, and it is feasible to predicate the moisture content of oat seeds based on dielectric properties. The study is helpful to understand the dielectric properties of oat seeds, and is instructive to develop moisture sensor for oat seeds.

       

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