首页> 外国专利> METHOD FOR QUALITATIVE AND QUANTITATIVE DETERMINATION OF PARAMETERS OF WOOD PANELS AND CONTROL OF PROCESS VARIABLES INFLUENCING PARAMETERS OF THE PANELS

METHOD FOR QUALITATIVE AND QUANTITATIVE DETERMINATION OF PARAMETERS OF WOOD PANELS AND CONTROL OF PROCESS VARIABLES INFLUENCING PARAMETERS OF THE PANELS

机译:定性和定量测定木板参数的方法以及影响板材参数的过程变量的控制

摘要

1. A method for qualitative or quantitative determination of parameters of a wood based panel produced from raw wood material flowing into a process line for production of wood based panels, characterized in that the method comprises: analyzing the raw wood material or the wood based panel while having a moisture content of below 10% by a spectrometric method giving spectral data, and comparing said spectral data with reference spectral data obtained by said spectrometric method from reference raw wood material or reference wood based panels having a moisture content of below 10%, which reference spectral data have been calibrated to known parameters of wood based panels produced from said reference raw wood material or to known parameters of said reference wood based panel by means of multivariate analysis. 2. A method according to claim 1, characterized in that the method comprises: analyzing the raw wood material or the wood based panel while having a moisture content of below 10% by a spectrometric method giving spectral data, linking said spectral data into a combination with a process variable, and comparing said combination with reference combinations obtained by linking reference spectral data, obtained by said spectrometric method from reference raw wood material or reference wood based panels having a moisture content of below 10%, with reference process variables, which reference combinations have been calibrated to known parameters of wood based panels produced from said reference raw wood material or to known parameters of said reference wood based panel by means of multivariate analysis. 3. A method according to claim 1, characterized in that the raw wood material is analysed, and the spectral data is compared with reference spectral data obtained from reference raw wood material, which reference spectral data have been calibrated to known parameters of wood based panels produced from said reference raw wood material. 4. A method according to claim 1, characterized in that the wood based panel is analysed, and the spectral data is compared with reference spectral data obtained from reference wood based panels, which reference spectral data have been calibrated to known parameters of said reference wood based panels by means of multivariate analysis. 5. A method according to any preceding claim, characterized in that the wood based panel is a board. 6. A method according to claim 8, characterized in that the board is a particleboard. 7. A method according to claim 1, characterized in (I)- developing a calibration model by (I.a)- registering, by means of a spectrometric method, reference spectral raw data of reference samples of the reference raw wood material or the reference wood based panel, (I.b)- processing the reference spectral raw data, to reduce noise and adjust for drift and diffuse light scatter, (I.c)- calibrating the processed reference spectral data with the known parameters of the reference samples by performing a data analysis comprising multivariate analysis; and (II) registering, by means of said spectrometric method, spectral raw data of a sample of raw wood material or a wood based panel having unknown parameters; processing the thereby obtained spectral raw data to reduce noise and adjust for drift and diffuse light scatter; and applying the developed calibration model on the processed spectral data in order to determine the unknown parameters. 8. A method according to claim 7, characterized in that in (I.c) the multivariate analysis includes transferring the processed reference spectral data into latent variables; and that in (II) the processed spectral data are transferred into latent variables as according to (I.c), and the developed calibration model applied on the latent variables in order to determine the unknown parameters. 9. A method according to claim 7 or 8, characterized in that the spectrometric method is an absorption, reflectance, emission or transmission spectrometric method. 10. A method according to claim 1, characterized in that the raw wood material or the wood based panel and the reference raw wood material or reference wood based panels are dried to a moisture content of below 8%, preferably below 4%. 11. A method according to claim 1, characterized in that the raw wood material contains surface or core particles, or both. 12. A method according to claim 1, characterized in that the spectrometric method is a NIR spectrometric method. 13. A method according to claim 1, characterized in that the board parameters to be determined are selected from density, density profile, internal bond, thickness swelling, absorption value, permeability value, perforator value, and emission chamber value. 14. A method according to claim 1, characterized in the multivariate analysis is selected from Principal Component Analysis (PCA), Partial Least Squares Regression (PLS), Principal Component Regression (PCR), Multilinear Regression Analysis (MLR) and Discriminant Analysis. 15. A method according to claim 19, characterized in the multivariate analysis as used is Partial Least Squares Regression (PLS). 16. A method for controlling process variables influencing parameters of a wood based panel produced from raw wood material flowing into a process line for production of wood based panels, characterized in that it comprises the steps of: analyzing the raw wood material or the wood based panel while having a moisture content of below 10% by a spectrometric method giving spectral data, and comparing said spectral data with reference spectral data obtained by said spectrometric method from reference raw wood material or reference wood based panels produced from said reference raw wood material in a process for production of wood based panels while having a moisture content of below 10%, which reference spectral data have been calibrated to process variables in such a process, by means of multivariate analysis. 17. A method for controlling process variables according to claim 16, characterized in that the spectral data is compared with reference spectral data obtained from reference raw wood material or reference wood based panels produced from said reference raw wood material in a reference process for production of wood based panels which reference spectral data have been calibrated to process variables applied in said reference process. 18. A method for controlling process variables according to claim 16, characterized in that the spectral data is linked into a combination with a desired parameter, and said combination is compared with reference combinations obtained by linking reference spectral data, obtained from reference raw wood material or reference wood based panels, with known parameters of said reference raw wood material or said reference wood based panels, which reference combinations have been calibrated to known process variables by means of multivariate analysis. 19. A method for controlling process according to claim 18, characterized in that the raw wood material is analysed, and the combination is compared with reference combinations obtained by linking reference spectral data with known parameters of said reference raw wood material. 20. A method for controlling process according to claim 18, characterized in that the wood based panel is analysed and the combination is compared with reference combinations obtained by linking reference spectral data with known parameters of said reference wood based panels.
机译:1。一种定性或定量确定由流入生产人造板的生产线的原木材料制成的人造板的参数的方法,其特征在于,该方法包括:分析原木材料或人造板。同时通过给出光谱数据的分光光度法将水分含量控制在10%以下,并将所述光谱数据与通过光谱法从水分含量低于10%的参考原木材料或参考木板获得的参考光谱数据进行比较,借助于多变量分析,已经将哪些参考光谱数据校准到由所述参考原始木材材料制成的人造板的已知参数或所述参考人造板的已知参数。 2.根据权利要求1所述的方法,其特征在于,所述方法包括:通过给出光谱数据的光谱方法,分析水分含量低于10%的原木材料或人造板,将所述光谱数据链接成组合。将其与过程变量进行比较,然后将所述组合与通过链接参考光谱数据而获得的参考组合进行比较,这些参考光谱是通过所述光谱法从水分含量低于10%的参考原木材料或参考木板获得的,与参考过程变量相关,通过多变量分析,已经将组合物校准为由所述参考原木材料生产的人造板的已知参数,或者为所述参比人造板的已知参数。 3.根据权利要求1所述的方法,其特征在于,分析所述原材料,并且将所述光谱数据与从参考原材料中获得的参考光谱数据进行比较,所述参考光谱数据已经被校准为人造板的已知参数。由所述参考原始木材材料生产。 4.根据权利要求1所述的方法,其特征在于,对所述人造板进行分析,并将光谱数据与从参考人造板获得的参考光谱数据进行比较,所述参考光谱数据已经被校准为所述参考木板的已知参数。多元分析的基础上的面板。 5.根据前述权利要求中任一项所述的方法,其特征在于,所述木质面板是板。 6.根据权利要求8所述的方法,其特征在于,所述板是刨花板。 7.根据权利要求1所述的方法,其特征在于,(I)-通过(Ia)建立校准模型-借助于分光光度法登记参考原始木材或参考木材的参考样品的参考光谱原始数据。 (Ib)-处理参考光谱原始数据,以减少噪声并调整漂移和漫射光散射,(Ic)-通过执行数据分析,使用参考样品的已知参数校准处理后的参考光谱数据,包括:多元分析(II)通过所述分光光度法,登记原材料样品或参数未知的人造板的光谱原始数据;处理由此获得的光谱原始数据以减少噪声并调整漂移和漫射光散射;并将所开发的校准模型应用于处理后的光谱数据,以确定未知参数。 8.根据权利要求7所述的方法,其特征在于,在(I.c)中,多变量分析包括将处理后的参考光谱数据转换成潜变量; (II)中处理后的光谱数据按照(I.c)转换为潜在变量,并将开发的校准模型应用于潜在变量以确定未知参数。 9.根据权利要求7或8所述的方法,其特征在于,所述光谱法是吸收,反射,发射或透射光谱法。 10.根据权利要求1所述的方法,其特征在于,将所述原木材料或所述木质板和所述参考原木材料或参考木质板干燥至水分含量低于8%,优选低于4%。 11.根据权利要求1所述的方法,其特征在于,所述木材原料包含表面或芯颗粒或两者。 12.根据权利要求1所述的方法,其特征在于,所述光谱法是NIR光谱法。 13.根据权利要求1所述的方法,其特征在于,要确定的板参数选自密度,密度分布,内部结合,厚度溶胀,吸收值,渗透率值,穿孔器值和发射室值。 14.根据权利要求1所述的方法,其特征在于,所述多元分析选自主成分分析(PCA),偏最小二乘回归(PLS),主成分回归(PCR)。,多线性回归分析(MLR)和判别分析。 15.根据权利要求19所述的方法,其特征在于,所使用的多元分析是偏最小二乘回归(PLS)。 16.一种控制工艺参数的方法,该工艺参数影响从流入到生产人造板的生产线中的原木材料制成的人造板的参数,其特征在于,该方法包括以下步骤:分析原木材料或基于木材的板通过提供光谱数据的分光光度法将水分含量低于10%的木板进行比较,并将所述光谱数据与通过所述分光光度法从参考原木材料或由所述参考原木材料生产的参考木基板获得的参考光谱数据进行比较水分含量低于10%的人造板生产方法,该参考光谱数据已通过多变量分析在该过程中校准为过程变量。 17.根据权利要求16所述的用于控制过程变量的方法,其特征在于,将光谱数据与从参考原木材料或从所述参考原木材料生产的参考木基板获得的参考光谱数据进行比较,以用于生产参考光谱数据已校准为适用于所述参考过程的过程变量的人造木板。 18.根据权利要求16所述的用于控制过程变量的方法,其特征在于,将光谱数据链接成具有期望参数的组合,并且将所述组合与通过链接从参考原木材料获得的参考光谱数据而获得的参考组合进行比较。或参考木基面板,具有所述参考原木材料或所述参考木基面板的已知参数,已通过多变量分析将这些参考组合校准为已知工艺变量。 19.根据权利要求18所述的控制过程的方法,其特征在于,对所述原材料进行分析,并将所述组合与通过将参考光谱数据与所述参考原材料的已知参数链接而获得的参考组合进行比较。 20.根据权利要求18所述的控制过程的方法,其特征在于,对所述人造板进行分析并且将所述组合与通过将参考光谱数据与所述参考人造板的已知参数链接而获得的参考组合进行比较。

著录项

  • 公开/公告号EA000988B1

    专利类型

  • 公开/公告日2000-08-28

    原文格式PDF

  • 申请/专利权人 CASCO PRODUCTS AB;

    申请/专利号EA19980000126

  • 发明设计人 ENGSTROM BJIRN;HEDQUIST MONA;

    申请日1996-07-02

  • 分类号G01N21/17;

  • 国家 EA

  • 入库时间 2022-08-22 01:56:38

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