首页> 外国专利> CLOUD SERVER FOR MANAGING PREDICTIVE MAINTENANCE ALGORITHM APPLIED TO MANUFACTURING SITE AND SMART FACTORY MANAGEMENT SYSTEM INCLUDING THE SAME

CLOUD SERVER FOR MANAGING PREDICTIVE MAINTENANCE ALGORITHM APPLIED TO MANUFACTURING SITE AND SMART FACTORY MANAGEMENT SYSTEM INCLUDING THE SAME

机译:用于管理用于制造站点和智能工厂管理系统的预测维护算法的云服务器

摘要

The present invention relates to a cloud server for managing a plurality of manufacturing sites, wherein the server includes a storage unit, a communication unit, the storage unit, and a processor operatively connected to the communication unit, wherein the processor is disposed at the manufacturing site Receives the quality data acquired in the process process from the on-site server, substitutes the quality data into a plurality of pre-stored defect determination algorithms, calculates the pass/fail decision accuracy of the product generated in the process process, and calculates the pass/fail decision accuracy is configured to select a failure determination algorithm applicable to the process process based on the selection and provide the selected failure determination algorithm to the field server, or the processor receives manufacturing data of process equipment installed at the manufacturing site from the field server, By substituting the manufacturing data into a plurality of pre-stored predictive maintenance algorithms, an inspection cycle prediction result of the process equipment is obtained, a predictive maintenance algorithm applicable to the process equipment is selected based on the inspection cycle prediction result, and the selected and provide a predictive maintenance algorithm to the on-site server. According to the present invention, the cloud server stores and analyzes industrial data and operation/control data generated at the manufacturing site, forms big data for factory automation operation, and manages production, quality, equipment, and energy data of factories. can
机译:本发明涉及一种用于管理多个制造站点的云服务器,其中服务器包括存储单元,通信单元,存储单元和可操作地连接到通信单元的处理器,其中处理器设置在制造处站点从现场服务器收到过程过程中获取的质量数据,将质量数据替换为多个预先存储的缺陷确定算法,计算在过程过程中生成的产品的通过/失败决策精度,并计算通过/失败判定精度被配置为基于选择选择适用于处理过程的故障确定算法,并将所选择的失败确定算法提供给现场服务器,或者处理器从制造站点安装的过程设备的制造数据现场服务器,通过将制造数据替换为多个PR e存储的预测维护算法,获得了处理设备的检查周期预测结果,基于检查周期预测结果选择适用于过程设备的预测性维护算法,以及所选择的并提供预测维护算法-Site服务器。根据本发明,云服务器存储和分析制造站点生成的工业数据和操作/控制数据,形成工厂自动化操作的大数据,并管理工厂的生产,质量,设备和能量数据。能够

著录项

  • 公开/公告号KR102262045B1

    专利类型

  • 公开/公告日2021-06-08

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020200144215

  • 发明设计人 박덕근;

    申请日2020-11-02

  • 分类号G05B23/02;G05B19/05;G05B19/4065;G06Q50/04;

  • 国家 KR

  • 入库时间 2022-08-24 19:14:43

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