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Availability analysis method of offshore facility

机译:海上设施的可用性分析方法

摘要

A method for predicting production availability of offshore facilities according to an embodiment of the present invention comprises the steps of configuring a data set by defining data characteristics and labels for predicting production availability, from a RAM research model of an existing designed offshore facility. The step of outputting the defined data characteristics and labels in a table form, performing simulation repeatedly while partially changing the values of the data characteristics of the RAM research models, and converting the repeatedly performed data characteristics and labels into virtual data in the form of a table Generating as a set, generating big data by collecting the generated data set, and obtaining a functional expression in which the correlation between the data characteristic and the label is functionalized by performing machine learning analysis using the generated big data And generating a production availability prediction model using the obtained functional equation to input data characteristics of the offshore facility and output a label, and use the generated production availability prediction model as a RAM of a new production facility. And outputting the production availability of the new production facility by applying it to the study.
机译:根据本发明的实施例的用于预测近海设施的生产可用性的方法包括通过定义数据特征和标签来配置数据集的步骤,以从现有设计的海上设施的RAM研究模型中定义用于预测生产可用性的数据集。在表格形式中输出定义的数据特性和标签的步骤,在部分地改变RAM研究模型的数据特征的值的同时重复执行模拟,并将重复执行的数据特征和标签转换为以a的形式进入虚拟数据。表作为集成,通过收集生成的数据集生成大数据,并获得功能表达式,其中通过使用生成的大数据执行机器学习分析并生成生产可用性预测来对数据特性和标签之间的相关性的功能表达式模型使用所获得的功能方程来输入海上设施的数据特征并输出标签,并使用生成的生产可用性预测模型作为新生产设施的RAM。并通过将其应用于研究来输出新生产设施的生产可用性。

著录项

  • 公开/公告号KR20210055439A

    专利类型

  • 公开/公告日2021-05-17

    原文格式PDF

  • 申请/专利权人 삼성중공업 주식회사;

    申请/专利号KR1020190141880

  • 发明设计人 이윤한;황윤지;

    申请日2019-11-07

  • 分类号G06Q10/06;

  • 国家 KR

  • 入库时间 2022-08-24 18:57:44

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