Wood moisture content detection method based on infrared difference spectrum technology
A technology of infrared difference spectrum and detection method, which is applied in the direction of measuring device, material analysis, and material analysis through optical means, which can solve the inconvenience of forestry researchers and achieve the effect of reducing the amount of wood samples and rapid detection
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Embodiment 1
[0031] (1) Ginkgo wood is made into a sample of 10mm wide * 10mm wide * thick 8 μm size, placed in a constant temperature and humidity box for cultivation, and the relative humidity obtained is 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80% and 90% ginkgo wood balance samples;
[0032] (2) Put the ginkgo wood sample into the oven, first dry it at 60°C for 2 hours, then adjust the temperature to 103±2°C, and dry it continuously for 8-10 hours. The difference between the last two weighings is extremely small (no more than 0.3%), and a fully dry sample is obtained;
[0033] (3) Utilize the moisture content W of the ginkgo wood equilibrium sample of the different relative humidity that obtains in (1) by conventional drying method;
[0034] (4) Utilize infrared spectrometer to record the infrared spectrogram I of the fully dry sample in (2) 0% Infrared spectrogram I of equilibrium sample under different relative humidity in (1) 10% , I 20% , I 30% , I 40% , I 50% , I 60% , I 70% ,...
Embodiment 2
[0038] Utilize the method in embodiment 1, carry out infrared difference spectrum detection to the moisture content of Mandshurica mandshurica sample, obtain regression equation: W=0.0048A W-0-0.0016. When testing ash samples in batches, it takes only 1 s for a single sample. The ash sample with a relative humidity of 15% was randomly obtained. Using the above method, the measured moisture content was 0.0348, while the moisture content measured by the traditional drying method was 0.034, and the calculated relative error was 2.35%. The results show that the method of the present invention can quickly and accurately detect the moisture content of wood.
Embodiment 3
[0040] Using the method in Example 1, the moisture content of the pine wood sample was detected by infrared differential spectrum, and the regression equation was obtained: W=0.0043A W-0 +0.0062. When testing pine wood samples in batches, a single sample takes only 1s. A pine wood sample with a relative humidity of 15% was randomly obtained. Using the above method, the measured moisture content was 0.0424, while the moisture content measured by the traditional drying method was 0.042, and the calculated relative error was 0.95%. The results show that the method of the present invention can quickly and accurately detect the moisture content of wood.
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