铁矿粉铁品位高光谱精确估测方法研究  

Study on Hyperspectral Accurate Estimation Method of Iron Grade for Iron Ore Powder

作　　者：李孟倩 李鸣铎 汪金花 韩秀丽 高会爽 LI Mengqian;LI Mingduo;WANG Jinhua;HAN Xiuli;GAO Huishuang(School of Mining Engineering,North China University of Science and Technology,Tangshan 063210,China;School of Electrical Engineering,North China University for Science and Technology,Tangshan 063210,China;Shirengou Iron Mine,Hebei Iron&Steel Group Mining Design Co.,Ltd.,Tangshan 063701,China)

机构地区：[1]华北理工大学矿业工程学院,河北唐山063210 [2]华北理工大学电气工程学院,河北唐山063210 [3]河北钢铁集团矿业有限公司石人沟铁矿,河北唐山063701

出　　处：《金属矿山》2023年第3期206-213,共8页Metal Mine

基　　金：国家自然科学基金项目(编号:51774140);河北省自然科学基金项目(编号:E2021209147);河北省教育厅重点研究项目(编号:ZD2021082);河北省教育厅研究项目(编号:JQN2020037)。

摘　　要：铁品位检测是铁矿粉工艺生产的一项关键技术。针对目前铁品位检测方法的缺点,构建了一种高光谱曲线反演铁品位的数学方法,具有检测速度快、环保无二次污染等优点。选取了石人沟铁矿54个铁矿粉样本,采用化学方法实测了样本的铁品位,并利用ASD FieldSpec4光谱仪测量了样本的高光谱曲线。分析发现铁矿粉中铁离子在526、713、905、998以及1100 nm位置表现出强吸收特征;不同铁品位样本的吸收深度差别明显,同时存在明显的干扰噪声。根据样本高光谱吸收特征与铁品位的强相关性,对样本高光谱和铁品位数据集,进行最小二乘(Least Squares Method)、稳健估计(Robust Estimation)、岭估计(Ridge Estimation)约束下的高光谱铁品位的反演建模试验。试验结果表明,不同约束法则下铁品位反演的精度存在差异。最小二乘估计反演准确性较低,稳健估计可以降低少量异常光谱值的干扰,岭估计可以有效避免参数间复共线性对精度影响。稳健估计和岭估计共同约束下模型的泛化能力强,反演铁品位精度高,能够有效提高模型反演预测铁品位的准确度,可以作为高光谱检测铁矿粉铁品位的基础模型。Iron grade detection is a key technology in iron ore powder production.In view of the shortcomings of current iron grade detection methods,a mathematical method of iron grade inversion by hyperspectral curve is constructed,which has the advantages of fast detection speed and no secondary pollution.In this paper,54 iron ore samples from Shirengou were selected to measure the iron grade by chemical method,and the hyperspectral curves of the samples were measured by ASD FieldSpec4 spectrometer.It is found that iron ions in iron ore powder exhibit strong absorption characteristics at 526,713,905,998 and 1100 nm,and the absorption depth of samples with different iron grades is obviously different,and there is obvious interference noise.Based on the strong correlation between hyperspectral absorption characteristics of samples and iron grade,the Least Squares Method,Robust Estimation and Ridge Estimation were used to model hyperspectral iron grade.The experimental results show that the accuracy of iron grade inversion is different under different constraint rules.The accuracy of the least square estimation inversion is low,the robust estimation can reduce the interference of a few anomalous spectral values,and the ridge estimation can effectively avoid the influence of complex collinearity between parameters on the accuracy.Under the joint constraints of robust estimation and ridge estimation,the model has strong generalization ability and high accuracy of iron grade inversion,which can effectively improve the accuracy of iron grade inversion prediction,and can be used as a basic model for hyperspectral detection of iron grade for iron ore powder.

关 键 词：铁品位 高光谱检测 回归分析 岭估计 稳健估计 

分 类 号：P575[天文地球—矿物学]