CAJ | 학술논문

针对镨＼钕（Pr＼Nd）萃取过程中元素组分含量难以在线检测的问题，依据 Pr、Nd混合溶液图像特征可以反映元素组分含量分布的特性，建立了基于离子颜色特征的 Pr＼Nd萃取过程元素组分含量预测模型。采集 Pr＼Nd萃取过程中稀土混合溶液图像信息，在 HSI颜色空间中提取图像特征，采用主成分分析法分析各颜色分量对元素组分含量的影响，选取影响较大的 H、S特征分量一阶矩作为预测模型的输入变量，利用最小二乘支持向量机算法（LS＿SVM）具有解决小样本、非线性能力强及运行速度快的优点，建立基于 Pr＼Nd萃取过程元素组分含量预测模型。通过Pr＼Nd萃取生产现场运行数据测试，表明建立的模型适用于具有离子特征颜色的稀土萃取过程组分含量在线快速预报。
침대보＼녀（Pr＼Nd）췌취과정중원소조분함량난이재선검측적문제，의거 Pr、Nd혼합용액도상특정가이반영원소조분함량분포적특성，건립료기우리자안색특정적 Pr＼Nd췌취과정원소조분함량예측모형。채집 Pr＼Nd췌취과정중희토혼합용액도상신식，재 HSI안색공간중제취도상특정，채용주성분분석법분석각안색분량대원소조분함량적영향，선취영향교대적 H、S특정분량일계구작위예측모형적수입변량，이용최소이승지지향량궤산법（LS＿SVM）구유해결소양본、비선성능력강급운행속도쾌적우점，건립기우 Pr＼Nd췌취과정원소조분함량예측모형。통과Pr＼Nd췌취생산현장운행수거측시，표명건립적모형괄용우구유리자특정안색적희토췌취과정조분함량재선쾌속예보。
In view of the online detect problem of element component content in Pr\Nd extraction process, according to the property that image features of the mixed solution of Pr and Nd can reflect the distribution character of element component content,a prediction model of component content in Pr\Nd extraction process based on ion color features.At first,collecting image information of rare-earth mixed solution in Pr\Nd extraction process and extracting the image-features in HSI color space.Then,using principal compo-nent analysis method to analyze the impact of each color component on component content and selecting the first moments of H and S features which have more impact on it to the input variables of forecast model.Fi-nally,a prediction model of element component content in Pr\Nd extraction process is established based on least square support vector machine algorithm,it has advantages in solving small sample,non-linear and high speed.An actual data testing shows that the proposed mode can be suitable to online fast forecast of component content in rare-earth extraction process with ion characteristic color.