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低成本便携式木材缺陷检测仪的研制。

Development of Low-Cost Portable Spectrometers for Detection of Wood Defects.

机构信息

InnoRenew CoE, Livade 6, 6310 Izola, Slovenia.

Andrej Marušič Institute, University of Primorska, Titov trg 4, 6000 Koper, Slovenia.

出版信息

Sensors (Basel). 2020 Jan 19;20(2):545. doi: 10.3390/s20020545.

DOI:10.3390/s20020545
PMID:31963870
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7014491/
Abstract

Portable spectroscopic instruments are an interesting alternative for in-field and on-line measurements. However, the practical implementation of visible-near infrared (VIS-NIR) portable sensors in the forest sector is challenging due to operation in harsh environmental conditions and natural variability of wood itself. The objective of this work was to use spectroscopic methods as an alternative to visual grading of wood quality. Three portable spectrometers covering visible and near infrared range were used for the detection of selected naturally occurring wood defects, such as knots, decay, resin pockets and reaction wood. Measurements were performed on wooden discs collected during the harvesting process, without any conditioning or sample preparation. Two prototype instruments were developed by integrating commercially available micro-electro-mechanical systems with for-purpose selected lenses and light source. The prototype modules of spectrometers were driven by an Arduino controller. Data were transferred to the PC by USB serial port. Performance of all tested instruments was confronted by two discriminant methods. The best performing was the microNIR instrument, even though the performance of custom prototypes was also satisfactory. This work was an essential part of practical implementation of VIS-NIR spectroscopy for automatic grading of logs directly in the forest. Prototype low-cost spectrometers described here formed the basis for development of a prototype hyperspectral imaging solution tested during harvesting of trees within the frame of a practical demonstration in mountain forests.

摘要

便携式光谱仪器是现场和在线测量的一种有趣选择。然而,由于在恶劣的环境条件下操作和木材本身的自然变化,在林业领域中实际应用可见-近红外 (VIS-NIR) 便携式传感器具有挑战性。这项工作的目的是使用光谱方法作为木材质量目视分级的替代方法。使用三种覆盖可见和近红外范围的便携式光谱仪来检测选定的天然木材缺陷,如节子、腐朽、树脂囊和应力木。测量是在收获过程中收集的木制圆盘上进行的,无需任何调节或样品制备。通过将市售的微机电系统与专门选择的透镜和光源集成,开发了两个原型仪器。光谱仪的原型模块由 Arduino 控制器驱动。通过 USB 串口将数据传输到 PC。通过两种判别方法比较了所有测试仪器的性能。表现最好的是 microNIR 仪器,尽管定制原型的性能也令人满意。这项工作是在森林中直接对原木进行自动分级的 VIS-NIR 光谱实际应用的重要组成部分。这里描述的低成本原型光谱仪为在山区森林中进行树木收获时测试的原型高光谱成像解决方案的开发奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/6da413549896/sensors-20-00545-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/0f7e7c60665a/sensors-20-00545-g0A1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/72b4487bf25f/sensors-20-00545-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/35e22dc3722b/sensors-20-00545-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/f7c6c2272e88/sensors-20-00545-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/14389a4c6eff/sensors-20-00545-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/b934cc50efc7/sensors-20-00545-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/6da413549896/sensors-20-00545-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/0f7e7c60665a/sensors-20-00545-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/e5b2d563b4a1/sensors-20-00545-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/93eb9b44ec18/sensors-20-00545-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/2faa7365e6db/sensors-20-00545-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/72b4487bf25f/sensors-20-00545-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/35e22dc3722b/sensors-20-00545-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/dfe019fa9115/sensors-20-00545-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/f7c6c2272e88/sensors-20-00545-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/14389a4c6eff/sensors-20-00545-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/b934cc50efc7/sensors-20-00545-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a70c/7014491/6da413549896/sensors-20-00545-g009.jpg

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