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首页> 外文期刊>Biosystems Engineering >Capacitance and near-infrared techniques for the real-time moisture measurement of broiler litter.
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Capacitance and near-infrared techniques for the real-time moisture measurement of broiler litter.

机译:电容和近红外技术可用于肉鸡垫料的实时水分测量。

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The feasibility of capacitance and near-infrared (NIR) techniques for measuring the real-time moisture content (MC) of broiler litter was evaluated. Data collection consisted of recording differential voltage signal and spectral absorption values (1200-2200 nm) for a capacitance and a NIR sensor, respectively, for broiler litter samples within 19.3%-75.1% d.b. (16.2%-42.9% w.b.) MC. Initial data analysis indicated that litter density impacted the capacitance sensor voltage. The sensor generated a linear response between 19.3% and 45.8% d.b. MC at the given bulk density (BD) and the operating moisture range further decreased as the litter BD increased. NIR data analysis indicated that the absorption bands within the 1400-1440 nm and 1900-1950 nm wavelength regions were highly correlated to the litter MC. Linear regression models relating the output data (differential voltage and absorption spectral values for capacitance and NIR, respectively) to the litter MC exhibited a high linear correlation (R2=0.89-0.99). Model validation results also generated high correlation values (R2=0.87-0.95) between the predicted and measured MC's. Overall results suggested that the NIR technique performed better than the capacitance technique because of its ability to provide rapid, non-intrusive and density-independent measurements within the selected moisture range. The NIR technique is recommended for future real-time moisture measurement on litter conveying and application equipment.
机译:评估了电容和近红外(NIR)技术测量肉鸡垫料实时水分(MC)的可行性。数据收集包括记录肉鸡粪便样品的电容和近红外传感器的差分电压信号和光谱吸收值(1200-2200 nm)(d.b在19.3%-75.1%d.b之内)。 (16.2%-42.9%w.b.)MC。初始数据分析表明,垃圾密度会影响电容传感器的电压。传感器产生的线性响应介于19.3%和45.8%d.b之间。随着垃圾BD的增加,在给定的堆密度(BD)和工作湿度范围下的MC进一步降低。 NIR数据分析表明,在1400-1440 nm和1900-1950 nm波长范围内的吸收带与垫料MC高度相关。将输出数据(分别为电容和NIR的差分电压和吸收光谱值)与垫料MC相关联的线性回归模型显示出较高的线性相关性(R 2 = 0.89-0.99)。模型验证结果还生成了预测MC和测量MC之间的高相关值(R 2 = 0.87-0.95)。总体结果表明,NIR技术的性能优于电容技术,因为它能够在选定的湿度范围内提供快速,非侵入性和密度无关的测量。建议将NIR技术用于垃圾输送和应用设备上的未来实时湿度测量。

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