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Production equipment monitoring equipment, production equipment monitoring method and production equipment monitoring program

机译:生产设备监控设备,生产设备监控方法和生产设备监控计划

摘要

In order to accurately determine the abnormality degree of the production equipment based on the log data, the learning unit (44) determines the text feature amount (for example, the text feature amount obtained from the number of texts included in the plurality of log data obtained in the predetermined process of the production equipment). , The first principal component and the second principal component) and the production history information of the production facility, and learns a classification rule for classifying normality/abnormality of the production facility from the text feature quantity, and the extraction unit (46) The text feature amount of the log data of the monitoring target obtained in the predetermined process of the production facility is extracted, and the determination unit (48) determines the log data of the monitoring target based on the extracted text feature amount and the classification rule. The normality/abnormality of the production equipment when it is obtained is determined.
机译:为了基于日志数据准确地确定生产设备的异常程度,学习单元(44)确定文本特征量(例如,从包括在多个日志数据中的文本的数量获得的文本特征量在生产设备的预定过程中获得。 ,第一个主成分和第二主成分)和生产设施的生产历史信息,并学习从文本特征数量和提取单元(46)文本的生产设施的正常性/异常的分类规则提取在生产设施的预定过程中获得的监视目标的日志数据的特征量,并且确定单元(48)基于提取的文本特征量和分类规则确定监视目标的日志数据。确定了在获得时的生产设备的正常/异常。

著录项

  • 公开/公告号JP6866930B2

    专利类型

  • 公开/公告日2021-04-28

    原文格式PDF

  • 申请/专利权人 富士通株式会社;

    申请/专利号JP20190548801

  • 发明设计人 丸山 和範;添田 武志;

    申请日2017-10-16

  • 分类号G05B23/02;G06F11/07;G16Y10/25;G16Y20/20;G16Y40/40;

  • 国家 JP

  • 入库时间 2022-08-24 18:28:10

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