烟草科技2018，Vol.51Issue(2)：69-76,8.
卷烟制叶丝段批次过程的多阶段分布式监测与异常诊断
Multi-stage distributed working status monitoring and trouble diagnosis for batch process in cut strip processing section
摘要
Abstract
In order to eliminate the blind spots of monitoring at idle running stage in batch process of cut strip processing section and prevent the mutual interference between several pieces of equipment working at abnormal status to communicate with the overall monitoring model at one time,a multi-stage distributed monitoring and trouble diagnosis method was proposed based on the strategy of dividing into blocks horizontally and into layers vertically. According to the different monitoring requirements at idle running stage and steady production stage,the monitoring models for Sirox heating and humidifying machine and KLD thin plate dryer at different stages were separately developed by principal component analysis to monitor equipment abnormality at different stages effectively. Contribution plot method was used to accurately identify the reasons causing abnormality. Validation was conducted on the basis of actual running data of cut strip processing section in Hangzhou Cigarette Factory,the results showed that the proposed method raised the ability of the monitoring models to capture batch process information,monitored and diagnosed equipment abnormalities at different stages accurately and effectively. This method provides a theoretical support for the state monitoring and trouble diagnosis of batch process of primary processing in smart cigarette factories.关键词
卷烟/制叶丝段/批次过程/分块分层/多阶段分布式监测/主元分析/异常诊断Key words
Cigarette/Cut strip processing section/Batch process/Partitioning and layering/Multi-stage distributed monitoring/Principal component analysis/Abnormality diagnosis分类
轻工纺织引用本文复制引用
王伟,张利宏,黎明星,樊虎,赵春晖..卷烟制叶丝段批次过程的多阶段分布式监测与异常诊断[J].烟草科技,2018,51(2):69-76,8.基金项目
国家自然科学基金资助项目"批次过程监测与故障诊断的基础理论研究"(61422306)和"间歇过程高效运行的建模控制方法及应用"(61433005) （61422306）
浙江省博士后科研择优资助项目"基于多元统计分析的卷烟工厂设备在线监测和故障诊断技术研究"(BSH1502045). （BSH1502045）
