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Factory work safety and maintenance management system for motors using machine learning based on self-powered beacon scanner and vibration sensor

机译:基于自供电信标扫描仪和振动传感器的机器学习的工厂工作安全维护管理系统

摘要

Various embodiments of the present invention provide plant operation safety and motor management systems using self-powered beacon scanners and vibration sensor data-based machine learning. To this end, the present invention relates to a wearable beacon tag worn by an operator; An IoT (Internet of Things) sensor including a beacon scanner installed in a process line motor in a workplace and receiving proximity information of the operator from the wearable beacon tag, and a vibration sensor collecting vibration data of the process line motor; A gate way for receiving proximity information of the operator from the IoT sensor and vibration data of the process line motor; A PLC (Programmable Logic Control) box for controlling the industrial robot to stop the operation of the industrial robot in the workplace upon receiving proximity information of the operator from the gateway; And a server for receiving and storing proximity information of the operator from the gateway and vibration data of the process line motor.
机译:本发明的各种实施例使用自供电信标扫描器和基于振动传感器数据的机器学习来提供工厂操作安全和电动机管理系统。为此,本发明涉及一种由操作者佩戴的可佩戴信标标签。物联网(IoT)传感器,包括安装在工作场所的生产线电机中并从可穿戴信标标签接收操作员的接近度信息的信标扫描仪,以及收集生产线电机的振动数据的振动传感器;用于从IoT传感器接收操作员的接近信息和过程线电机的振动数据的闸门方式;当从网关接收到操作者的接近信息时,用于控制工业机器人以停止工作场所中的工业机器人的操作的PLC(可编程逻辑控制)盒;以及用于从网关接收并存储操作者的接近信息和过程线电动机的振动数据的服务器。

著录项

  • 公开/公告号KR101788796B1

    专利类型

  • 公开/公告日2017-10-20

    原文格式PDF

  • 申请/专利权人 SUN HST CO. LTD.;

    申请/专利号KR20170075931

  • 发明设计人 이진용;권영국;최명훈;이수진;

    申请日2017-06-15

  • 分类号G05B19/05;G05B9;G06Q50/10;H04W4;

  • 国家 KR

  • 入库时间 2022-08-21 13:24:40

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