卷烟工厂生产异常信息分析及推送系统

卷烟工厂信息化程度高，采集了丰富的生产数据，如何有效利用这些生产数据来监控生产过程中的异常信息，是本文研究重点.在以往的监控中，管理者通过生产看板和人工反馈发现异常信息，并做出调整.这种方式对异常信息的响应速度慢，且存在疏漏.因此，本文提出了一种卷包车间生产异常信息分析方法来获取有效异常信息，同时将该信息通过移动平台推送给相关管理人员，从而提高异常信息响应能力和生产管控水平.

Analysing and Pushing System of Abnormal Production Information in Cigarette Factory

Due to the high degree of informatization in cigarette factory and the large amounts of collected production data, this thesis focuses on how to effectively use these production data to monitor the abnormal information during the process of production. In previous monitoring, managers make adjustments to abnormal situations by watching the production board or artificial feedback. In this way, the response speed of abnormal situations is slow and leaky. Therefore, this paper proposes a method of abnormal information analysis to obtain effective abnormal information during the production of rolling and packaging workshop, meanwhile using mobile platform to push these effective abnormal information to relevant manager. By this way, the response ability and the control level of production can be improved.