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Cloud Intelligent Prediction-based Production Automation System and Method for Smart Factory

机译:基于云智能预测的生产自动化系统及智能工厂方法

摘要

The present invention relates to a production automation system, wherein the cloud intelligent prediction-based production automation system for a smart factory according to the present invention is measured through a plurality of sensors installed in factory facilities, but in some factors or some processes when the factory facilities are operated. A first measurement unit that measures against; A second measurement unit for virtually measuring the remaining factors or remaining processes not measured by the first measurement unit when the factory equipment is operated; A database unit that stores data measured by the first and second measurement units, and stores input data for the factory equipment having predetermined parameter values and output data corresponding thereto; An algorithm storage unit storing a plurality of algorithms; An algorithm selection unit for selecting at least one algorithm from among a plurality of algorithms stored in the algorithm storage unit, based on input data having initial parameter values for the factory equipment; An artificial intelligence model determination unit that determines an artificial intelligence model required for operation of the factory equipment based on the selected algorithm; A machine learning unit for driving machine learning of the artificial intelligence model based on the data stored in the data data unit; And a prediction unit that predicts a failure or abnormality when the factory equipment is operated based on the operation of the artificial intelligence model.
机译:本发明涉及一种生产自动化系统,其中通过安装在工厂设施中的多个传感器来测量根据本发明的云智能预测的基于智能预测的生产自动化系统,但在某些因素或某些过程中运营工厂设施。第一个测量单元抵抗;第二测量单元,用于在工厂设备运行时几乎测量未通过第一测量单元测量的剩余因素或剩余过程;存储由第一和第二测量单元测量的数据的数据库单元,并存储具有预定参数值的工厂设备的输入数据和与其对应的输出数据;存储多个算法的算法存储单元;一种算法选择单元,用于从存储在算法存储单元中存储的多个算法中的至少一个算法,基于具有工厂设备的初始参数值的输入数据;一种人工智能模型确定单元,基于所选算法确定工厂设备操作所需的人工智能模型;一种机器学习单元,用于基于存储在数据数据单元中的数据的人工智能模型的驱动机器学习;并且一种预测单元,其基于人工智能模型的操作操作工厂设备时预测失败或异常。

著录项

  • 公开/公告号KR20210030754A

    专利类型

  • 公开/公告日2021-03-18

    原文格式PDF

  • 申请/专利权人 주식회사 이디코어;

    申请/专利号KR1020190112302

  • 发明设计人 한대수;

    申请日2019-09-10

  • 分类号G05B23/02;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-24 17:48:51

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