数据挖掘在氟橡胶生产装置工艺优化中的应用  

Application of Data Mining in Process Optimization of Fluororubber Production Plant

作　　者：徐潇[1] 马利群 孟晟喨 孙长艳 刘太昂[1] 陆文聪[1] Xu Xiao;Ma Liqun;Meng Shengliang;Sun Changyan;Liu Taiang;Lu Wencong(Department of Chemistry,College of Sciences,Shanghai University,Shanghai 200444,China;Shanghai 3F New Materials Co.,Ltd.,Shanghai 200241,China)

机构地区：[1]上海大学理学院,上海200444 [2]上海三爱富新材料股份有限公司,上海200241

出　　处：《有机氟工业》2017年第1期61-64,共4页Organo-Fluorine Industry

基　　金：项目:大数据挖掘和云计算技术在氟化工生产过程中的应用(15dz1180700)

摘　　要：企业产品质量和工艺波动数据蕴含了生产规律性,利用数据挖掘方法总结生产波动数据,用以产品质量的优化控制,这是企业挖潜增效的有效技术方法。收集了氟橡胶(FKM)生产装置有关工艺数据,利用统计分析和Fisher判别矢量法等数据挖掘方法分析了FKM产品的门尼黏度与其生产工艺间的关系,得到了FKM产品的生产工艺优化方案,并在生产装置上进行实施,使得产品门尼黏度在36~45的生产合格比例由53%提高到85%,大幅增加了FKM产品的门尼黏度合格率,提高了企业的经济效益。The enterprise product production process fluctuation data contains the production regularity,utilizing the data mining method to summarize produce law for controlling product quality excellently,which is an effective technology to improve the potential efficiency of enterprise. The relationship between Mooney viscosity and its production process of FKM product was analyzed by data mining method such as statistical analysis and Fisher discriminant vector method. The optimization scheme of FKM product production process was obtained,and the implementation of the production device,making the product＇s Mooney viscosity range from 36 to 45,production qualified ratio increased from 53% to 85%,a sharp increase in pass rate of FKM products Mooney viscosity,improve the economic efficiency of enterprises.

关 键 词：氟橡胶 门尼黏度 数据挖掘 工艺优化 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TQ333.93[自动化与计算机技术—计算机科学与技术]