基于支持向量回归(SVR)的马尾松木材脱脂率预测  

Deresination rate prediction of Masson pine wood based on support vector regression(SVR)

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作  者:郭佳伦 钟浩珉 赵俊博 陈瑶[1] Guo Jialun;Zhong Haomin;Zhao Junbo;Chen Yao(Key Laboratory of Wood Material Science and Application of Ministry of Education,Beijing Forestry University,Beijing 100083,China)

机构地区:[1]北京林业大学木质材料科学与应用教育部重点实验室,北京100083

出  处:《北京林业大学学报》2025年第3期151-161,共11页Journal of Beijing Forestry University

基  金:广西林业科技推广示范项目(2024GXLK23)。

摘  要:【目的】脱脂处理是提升松木制品性能的重要手段,但传统脱脂率检测方法耗时且破坏试样。本研究旨在探索一种快速、无损的脱脂率检测方法,基于木材表面颜色变化,利用支持向量回归(SVR)构建脱脂率预测模型。【方法】采用氨气-水蒸气在高温条件下对马尾松木材进行处理,分析不同条件对木材表面颜色参数和脱脂率的影响,探讨其相关性。利用3种不同的核函数(多项式核函数、Sigmoid核函数、径向基函数)构建基于SVR的脱脂率预测模型,并通过比较选择最优模型。【结果】经氨气-水蒸气热处理脱脂后,马尾松表面明度(L^(*))和黄蓝指数(b^(*))低于未处理木材,红绿指数(a^(*))则高于未处理木材。随着氨水质量分数和处理温度的增加,L^(*)、a^(*)和b^(*)呈逐渐降低趋势,总色差(ΔE^(*))逐渐增大,脱脂率随之提高。在180℃、较高氨水质量分数的处理条件下,ΔE^(*)达到最大值58.89,脱脂率达到最高值70.00%。颜色参数与脱脂率呈局部二次函数关系,相关系数最高为0.713。在以径向基函数为核函数的SVR模型中,预测含脂率和脱脂率的均方根误差分别为0.523和4.315,决定系数分别为0.847和0.823,该预测模型可应用于脱脂率检测的前期筛选。【结论】本研究成功构建了基于SVR的马尾松木材脱脂率预测模型。该模型在脱脂率检测的前期筛选中具有一定的应用价值,能够在一定程度上实现检测过程的快速、简便和无损化。本研究为马尾松木材脱脂率检测的效率提升和质量改进提供了一种新的方法。[Objective]Deresination treatment is an important method for improving the performance of pine wood products.However,traditional methods for detecting deresination rate are both time-consuming and destructive to samples.This paper aims to explore a rapid and non-destructive method for detecting the deresination rate based on changes in wood surface color and using support vector regression(SVR)to construct a deresination rate prediction model.[Method]Pinus massoniana wood was treated with ammonia gas and water vapor under high-temperature conditions.The effects of different conditions on wood surface color parameters and deresination rate were analyzed,and their correlations were investigated.Three different kernel functions(polynomial kernel function,Sigmoid kernel function,and radial basis function)were used to construct SVR-based deresination rate prediction models,and the optimal model was selected through comparison.[Result]After deresination by ammonia gas-water vapor heat treatment,the surface lightness(L^(*))and yellow-blue index(b^(*))of Masson pine wood were lower than those of untreated wood,while the red-green index(a^(*))was higher than that of untreated wood.With increasing ammonia mass fraction and treatment temperature,L^(*),a^(*),and b^(*)showed a gradual downward trend,the total color difference(ΔE^(*))increased gradually,and the deresination rate improved accordingly.Under treatment conditions of 180°C and a higher ammonia mass fraction,ΔE^(*)reached its maximum value of 58.89,and the deresination rate achieved its highest value of 70.00%.The color parameters showed a local quadratic relationship with deresination rate,with the highest correlation coefficient being 0.713.In SVR model with radial basis function as kernel function,the root mean square errors for predicting lipid content and deresination rate were 0.523 and 4.315,respectively,and the coefficients of determination were 0.847 and 0.823,respectively.This prediction model can be applied to preliminary screening in deresination rate

关 键 词:支持向量回归 机器学习 预测模型 脱脂 马尾松 颜色参数 

分 类 号:S784[农业科学—林学] TP181[自动化与计算机技术—控制理论与控制工程]

 

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