化工学报2019，Vol.70Issue(2)：780-788,9.DOI:10.11949/j.issn.0438⁃1157.20180819
单光照条件变化的镨/钕元素组分含量软测量
Soft-sensing of Pr/Nd component content under different single illumination conditions
摘要
Abstract
It is known that due to the change of light condition on rare earth extraction industry, makes soft-sensing model for rare earth element content based on the color characteristics of the rare earth solution have larger error. First, the Grey Edge algorithm with parameter optimization is used to correct the image of rare earth solution under different illumination conditions to the standard illumination. Then, the first moment of H, S and I components in the HSI color space of the Pr/Nd solution image is used as a model. The weighted least squares support vector machine (WLSSVM) is used to model the component content. Finally, the simulation experiments of rare earth solution images under different illumination conditions are carried out. The simulation results show that the images of rare earth solutions under different illumination conditions can meet the high-accuracy and rapid requirements of element component content detection in rare earth extraction process.关键词
萃取过程/组分含量/颜色校正/参数优化/加权最小二乘支持向量机Key words
extraction process/ component content/ color correction/ parameter optimization/ WLSSVM分类
信息技术与安全科学引用本文复制引用
朱建勇,张旭乾,杨辉,陆荣秀..单光照条件变化的镨/钕元素组分含量软测量[J].化工学报,2019,70(2):780-788,9.基金项目
国家自然科学基金地区项目(61733005,61563015) （61733005,61563015）
江西省自然科学青年基金重点项目(20171ACB21039) （20171ACB21039）
江西省教育厅科技项目(GJJ150552,GJJ160524,GJJ170374) （GJJ150552,GJJ160524,GJJ170374）
