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PRODUCTION FACILITY MONITORING DEVICE, PRODUCTION FACILITY MONITORING METHOD, AND PRODUCTION FACILITY MONITORING PROGRAM

机译:生产设备监视装置,生产设备监视方法以及生产设备监视程序

摘要

In order to accurately determine the degree of malfunctioning of a production facility on the basis of log data, a learning unit (44) learns a classification rule for classifying whether the production facility is in a normal or abnormal state on the basis of text feature quantities (for example, a first primary component and a second primary component) that are determined from the quantities of text included in a plurality of sets of log data obtained in a predetermined process of the production facility, said learning being based on the text feature quantities and production history information about the production facility. Further, an extraction unit (46) extracts a text feature quantity from log data to be monitored that was obtained in the predetermined process of the production facility, and a determination unit (48) determines whether the production facility was in a normal or abnormal state when the log data to be monitored was obtained, on the basis of the extracted text feature quantity and the classification rule.
机译:为了基于日志数据准确地确定生产设施的故障程度,学习单元(44)学习用于基于文本特征量对生产设施处于正常还是异常状态进行分类的分类规则。 (例如,第一主要成分和第二主要成分)是根据在生产设备的预定处理中获得的多组日志数据中包括的文本量确定的,所述学习基于文本特征量以及有关生产设施的生产历史信息。此外,提取单元(46)从在生产设备的预定处理中获得的要监视的日志数据中提取文本特征量,并且确定单元(48)确定生产设备处于正常还是异常状态。当获取到要监视的日志数据时,基于提取的文本特征量和分类规则。

著录项

  • 公开/公告号WO2019077656A1

    专利类型

  • 公开/公告日2019-04-25

    原文格式PDF

  • 申请/专利权人 FUJITSU LIMITED;

    申请/专利号WO2017JP37388

  • 发明设计人 MARUYAMA KAZUNORI;SOEDA TAKESHI;

    申请日2017-10-16

  • 分类号G05B23/02;

  • 国家 WO

  • 入库时间 2022-08-21 11:55:07

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