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| Comparative Study on Predictive Modeling of Wood Chip Properties Based on Experimental and Industrial Near Infrared Spectrometer |
| Received:May 14, 2024 |
| DOI：10.11980/j.issn.0254-508X.2024.07.002 |
| Key Words:near infrared spectroscopy wood chip wood property analysis pulp and paper |
| Fund Project:科技创新2030-重大项目课题（2023ZD0405905）；制浆造纸工程国家重点实验室开放基金（202311）；林产化学与工程国家民委重点实验室暨广西林产化学与工程重点实验室开放课题重点项目（GXFK2205）；泰山产业领军人才工程专项经费（tscy20200213）。 |
| Author Name | Affiliation | Postcode | | LIANG Long | Jiangsu Key Lab of Biomass Energy and Material, Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resource, Key Lab of Chemical Engineering of Forest Products, National Forestry and Grassland Administration, National Engineering Lab for Biomass Chemical Utilization, Institute of Chemical Industry of Forest Products, CAF, Nanjing,Jiangsu Province, 210042
State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 | 510640 | | LYU Nana | Jiangsu Key Lab of Biomass Energy and Material, Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resource, Key Lab of Chemical Engineering of Forest Products, National Forestry and Grassland Administration, National Engineering Lab for Biomass Chemical Utilization, Institute of Chemical Industry of Forest Products, CAF, Nanjing,Jiangsu Province, 210042 | 210042 | | WU Ting* | Jiangsu Key Lab of Biomass Energy and Material, Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resource, Key Lab of Chemical Engineering of Forest Products, National Forestry and Grassland Administration, National Engineering Lab for Biomass Chemical Utilization, Institute of Chemical Industry of Forest Products, CAF, Nanjing,Jiangsu Province, 210042
Key Lab of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, Guangxi Key Lab of Chemistry and Engineering of Forest Products, Guangxi University for Nationalities, Nanning, Guangxi Zhuang Antonomous Region, 530006 | 530006 | | DENG Yongjun | Jiangsu Key Lab of Biomass Energy and Material, Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resource, Key Lab of Chemical Engineering of Forest Products, National Forestry and Grassland Administration, National Engineering Lab for Biomass Chemical Utilization, Institute of Chemical Industry of Forest Products, CAF, Nanjing,Jiangsu Province, 210042 | 210042 | | SHEN Kuizhong | Jiangsu Key Lab of Biomass Energy and Material, Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resource, Key Lab of Chemical Engineering of Forest Products, National Forestry and Grassland Administration, National Engineering Lab for Biomass Chemical Utilization, Institute of Chemical Industry of Forest Products, CAF, Nanjing,Jiangsu Province, 210042 | 210042 | | FANG Guigan* | Jiangsu Key Lab of Biomass Energy and Material, Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resource, Key Lab of Chemical Engineering of Forest Products, National Forestry and Grassland Administration, National Engineering Lab for Biomass Chemical Utilization, Institute of Chemical Industry of Forest Products, CAF, Nanjing,Jiangsu Province, 210042
Shandong Huatai Paper Co., Ltd., Dongying, Shandong Province, 257335 | 257335 |
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| Abstract:In this study， the feasibility of near-infrared （NIR） modeling using an industrial near infrared spectrometer for rapid prediction of wood chips properties was explored and compared with the modeling results of experimental spectrometer. According to the characteristics of different wood properties， the model performance was optimized by spectral signal correction and wavelength screening algorithms， and a suitable modeling method was established. The results showed that the NIR model based on an industrial spectrometer exhibited higher prediction accuracy for physical properties such as moisture， basic density， and fiber length of wood chips， while the prediction accuracy of chemical component content was not significantly different from that of the experimental spectrometer. NIR model of wood chip properties based on industrial spectrometer was suitable for raw material quality evaluation and industrial process analysis. |
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