光学精密工程2026，Vol.34Issue(3)：365-375,11.DOI:10.37188/OPE.20263403.0365
基于近红外-X射线融合光谱与非线性残差校正的大粒度煤热值PLS-AE-RR预测模型
PLS-AE-RR prediction model for calorific value of large-particle-size coal based on NIRS-XRF spectral fusion and nonlinear residual correction
摘要
Abstract
To address the enhanced matrix effects and intensified nonlinear spectral responses caused by the difficulty of grinding large-particle coal in industrial settings,this study proposes a hybrid PLS-AE-RR predictive model based on the fusion of near-infrared spectroscopy(NIRS)and X-ray fluorescence(XRF)spectra,aimed at improving the accuracy of on-line calorific-value analysis.The method implements a three-stage hybrid framework--linear baseline+nonlinear feature extraction+residual correction--where partial least squares regression(PLS)first models the global linear relationship between the fused spectra and calorific value;an autoencoder(AE)then extracts low-dimensional nonlinear representations that PLS cannot capture;and finally ridge regression(RR)fits and corrects the nonlinear residuals.Exper-imental validation using 153 blended coal samples from power plants demonstrates breakthrough perfor-mance in calorific value prediction for large-particle-size coal.On the test set,determination coefficients(R²)for lignite and bituminous coal reached 0.974 and 0.938,respectively,with mean absolute errors of 0.233 MJ/kg and 0.216 MJ/kg.The proposed method significantly outperforms standalone PLS and al-ternative nonlinear correction models,confirming the generalization advantage of ridge regression in residu-al fitting.Consequently,this achievement provides a grinding-free,high-precision online analysis solution for raw coal calorific value in coal-fired power plants,offering critical technical support for refined fuel man-agement and operational optimization.关键词
光谱分析/近红外光谱/X射线荧光光谱/热值预测/大粒度煤样/非线性校正/自编码器Key words
spectral analysis/NIRS spectra/XRF spectra/calorific value prediction/large-particle coal samples/nonlinear correction/autoencoder分类
数理科学引用本文复制引用
乔一帆,刘若楠,李斌,高睿,李佳轩,马维光,张雷..基于近红外-X射线融合光谱与非线性残差校正的大粒度煤热值PLS-AE-RR预测模型[J].光学精密工程,2026,34(3):365-375,11.基金项目
国家自然科学基金资助项目(No.12374377,No.627010407,No.12504483) （No.12374377,No.627010407,No.12504483）
长江学者和创新团队发展计划(No.IRT_17R70) （No.IRT_17R70）
高等学校学科创新引智计划(No.D18001) （No.D18001）
山西省研究生教育创新计划支持(No.2025SJ063) （No.2025SJ063）
