【作者】 龚锦红； 杨辉； 衷路生；

【Author】 GONG Jinhong,YANG Hui,ZHONG Lusheng School of Electronics and Electrical Engineering,East China Jiaotong University,Nanchang 330013,P.R.China

【机构】 华东交通大学电子与电气工程学院；

【摘要】 针对稀土串级萃取分离过程机理复杂、自动控制技术难以实现的特点,利用Rough集理论处理问题不需要外界信息或先验知识的独特优点,且在进行案例推理时能对案例库简化进行快速检索的的特点,提出稀土萃取分离过程的Rough集案例推理方法,对稀土萃取分离过程中的料液加入流量进行优化设定代替操作者的人工设定,并对元素组分含量进行推理预测。以某稀土公司的萃取生产过程为研究对象,应用结果表明该方法能有效地实现稀土萃取分离生产过程的智能优化设定控制,并得到满意的检测点组分含量预测值。更多还原

【Abstract】 On the characteristics of complex rare-earth extraction process and achieving automatic control technology hardly,while the Rough set theory has the unique merit of having no use for the outside information or the priori knowledge when dealing with ambiguous information and its adoption in Case-Based Reasoning(CBR)might optimize the cases library then draw the corresponding conclusion quickly,the paper lodge CBR based on Rough set in rare-earth extraction process.It can optimize the manual enactment in the rare-earth extraction process in place of the enactment to feeding liquid flowrate and forecast the information of component content.An industrial experiment in the extraction process proves this CBR method can achieve the intelligent optimal control for the process effectively and obtain good forecast-value of component content.更多还原