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

作　　者：王伟[1,2] 张利宏[1] 黎明星[1] 樊虎[1] 赵春晖[2] 

机构地区：[1]浙江中烟工业有限责任公司,杭州市西湖区科海路118号310024 [2]浙江大学控制科学与工程学院工业控制技术国家重点实验室,杭州市西湖区浙大路38号310027

出　　处：《烟草科技》2018年第2期69-76,共8页Tobacco Science & Technology

基　　金：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);"间歇过程高效运行的建模控制方法及应用"(61433005);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)

摘　　要：为解决卷烟制叶丝段批次过程中待机运行阶段存在监测盲区,以及不同设备并发异常对整体监测模型的相互干扰等问题,采用横向分块、纵向分层的策略,提出一种多阶段分布式监测与异常诊断方法。根据待机运行阶段和稳定生产阶段的不同监测需求,采用主元分析方法分别建立Sirox增温增湿机和KLD薄板烘丝机在不同阶段的监测模型,实现不同阶段设备异常的有效检测,并利用贡献图方法对异常原因进行准确识别。以杭州卷烟厂制叶丝段的实际运行数据进行验证,结果表明:该方法能够提高监测模型对批次过程信息的捕捉能力,准确有效监测和诊断不同阶段的设备异常。该方法为智慧卷烟工厂制丝批次过程的状态监测与异常诊断提供了理论支撑。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 

分 类 号：TS432[农业科学—烟草工业]