首页> 外国专利> THE VRIFIED VIEWING OF REMAINING MAINTENANCE CYCLE PREDICTION BASED ON TIMES SERIES PREDICTION USING DEEP LEARNING SOURCE BIG DATA

THE VRIFIED VIEWING OF REMAINING MAINTENANCE CYCLE PREDICTION BASED ON TIMES SERIES PREDICTION USING DEEP LEARNING SOURCE BIG DATA

机译:剩余的维护周期的VRIFIED查看预测基于倍系列预测使用深度学习大数据来源

摘要

It relates to a method for verifying the pre-suitability of source data for maintenance cycle prediction based on time series prediction using deep learning, and the verification method includes the steps of collecting source data for maintenance cycle prediction from a plurality of sensors and external servers and storing it in a database , in a database including a plurality of source data tables, selecting any one source data table for which source data verification is to be performed, selecting any one column group from among a plurality of column groups included in the selected source data table The method may include selecting and providing integrated information based on a result of selecting the source data table and the column group.
机译:

著录项

  • 公开/公告号KR20220079126A

    专利类型

  • 公开/公告日2022-06-13

    原文格式PDF

  • 申请/专利权人 (주)플랜투비즈니스컨설팅;

    申请/专利号KR20200168585

  • 发明设计人 최권호;김홍석;

    申请日2020-12-04

  • 分类号G06Q10;G06N20;G06Q10/04;G06Q10/06;

  • 国家

  • 入库时间 2023-06-25 23:39:24

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