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首页> 外文期刊>The Forestry Chronicle >Monitoring of moisture content and basic specific gravity in black spruce logs using a hand-held MEMS-based near-infrared spectrometer.
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Monitoring of moisture content and basic specific gravity in black spruce logs using a hand-held MEMS-based near-infrared spectrometer.

机译:使用基于MEMS的手持式近红外光谱仪监控黑云杉原木中的水分含量和基本比重。

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摘要

Our study presents results of a test of a hand-held micro-electro-mechanical system (MEMS)-based near-infrared (NIR) spectrometer to estimate moisture content and basic specific gravity of black spruce frozen and unfrozen logs. The spectra were acquired on sapwood and heartwood as well as on tangential and transversal log sections. Partial least square regression was used to develop and validate the models that relate NIR spectral data to the log properties. Models were developed for the frozen and unfrozen logs separately (temperature-specific models) and for both kinds of logs together (generalized model). Both model types gave similar prediction accuracy and there were no temperature condition effects on the PLS model, for both moisture content and basic specific gravity estimation. This implies that the NIR spectrometer can be used whatever the log temperature conditions, even under freezing conditions.
机译:我们的研究提出了基于手持式微机电系统(MEMS)的近红外(NIR)光谱仪的测试结果,以估算黑云杉冷冻和未冷冻原木的水分含量和基本比重。在边材和心材以及切向和横向对数截面上采集光谱。使用偏最小二乘回归来开发和验证将NIR光谱数据与对数属性相关联的模型。分别为冻结和未冻结的原木开发了模型(特定于温度的模型),同时为两种原木开发了模型(通用模型)。对于水分含量和基本比重估算,两种模型类型都提供了相似的预测精度,并且对PLS模型没有温度条件的影响。这意味着无论对数温度条件如何,都可以使用NIR光谱仪,即使在冻结条件下也可以使用。

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