文章基本信息

标题：Testing Methods of Component Contents during Rare-earth Extraction Process Based on Image Feature Retrieval
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作者：Wang, Sen ; Gao, Zijie ; Lu, Rongxiu 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2014
卷号：9
期号：11
页码：2697-2703
DOI：10.4304/jcp.9.11.2697-2703
语种：English
出版社：Academy Publisher
摘要：One online monitoring method based on the component contents of image feature retrieval is proposed to conduct the extracting and separating process for the rare-earth ion’s feature color. By analyzing different component contents of rare-earth ion color features, it is exposed with the relevance between component contents and the color feature H component. By combining the image retrieval technique based on contents, two retrieval algorithms, H component histogram and H component coherence vector, are proposed to help with the rare-earth component contents’ testing. In order to improve the soft sensing accuracy, the sensing accuracy correction algorithm based on PSO is suggested. To verify the effects of the above algorithm, the rare-earth component contents soft sensing experimenting platform based on image retrieval has been developed with VC6.0 and SQL Server. After doing imitation experiment with the component contents from the subjects of the rare-earth’s two components Pr/Nd extraction separation system, this method is proved with a fairly high testing accuracy.
关键词：rare-earth extraction;image feature;content retrieval;soft sensing