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FAILURE PREDICTION ANALYSIS SYSTEM OF MECHANICAL EQUIPMENT USING BIG DATA ANALYSIS AND METHOD THEREOF

机译:大数据分析的机械设备故障预测分析系统及其方法

摘要

The present invention relates to a failure prediction analysis system of mechanical equipment using big data analysis and a method thereof and, more specifically, to a failure prediction analysis system of mechanical equipment using big data analysis, which collects data from mechanical equipment which is installed anywhere in a subway station to monitor a state of the mechanical equipment in real-time, prevents failure by finding out an abnormal symptom of the mechanical equipment and reduces manpower and money in accordance with corrective maintenance, thereby performing rapid actions when the failure of the mechanical equipment occurs, and a method thereof. The failure prediction analysis system of mechanical equipment comprises a sensor unit, a server unit including a data reception unit, a data analysis unit, a data processing unit, and a database unit.;COPYRIGHT KIPO 2019
机译:本发明涉及使用大数据分析的机械设备的故障预测分析系统及其方法,更具体地,涉及使用大数据分析的机械设备的故障预测分析系统,该系统从安装在任何地方的机械设备收集数据。在地铁站中实时监视机械设备的状态,通过发现机械设备的异常症状来防止故障,并根据纠正性维护减少人力和金钱,从而在机械故障时迅速采取行动设备发生及其方法。机械设备的故障预测分析系统包括传感器单元,包括数据接收单元的服务器单元,数据分析单元,数据处理单元和数据库单元.COPYRIGHT KIPO 2019

著录项

  • 公开/公告号KR101962739B1

    专利类型

  • 公开/公告日2019-03-28

    原文格式PDF

  • 申请/专利权人 SEOUL METRO;

    申请/专利号KR20180100375

  • 发明设计人 WEE SUNG SOO;KIM SOON CHOL;LEE YOUNG DAE;

    申请日2018-08-27

  • 分类号G06Q50/10;G01M99;G06Q10/04;

  • 国家 KR

  • 入库时间 2022-08-21 11:48:52

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