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ROBOT DISPATCH AND REMEDIATION OF LOCALIZED METAL LOSS FOLLOWING ESTIMATION ACROSS PIPING STRUCTURES

机译:在管道结构估计之后的估计之后的机器人调度和修复局部金属损失

摘要

A method according to the disclosure configures a processor to predict metal loss in a structure for remediation. The method uses a machine learning model, trained based upon historical data, to predict metal loss over locations of a structure at a time of the prediction. The method identifies from among the predicted locations a high-risk location on the structure in which a magnitude of metal loss indicates potential remediation being needed, dispatches a robotic vehicle to the high-risk location on the structure and inspects the high-risk location using the robotic vehicle to confirm whether the magnitude of metal loss at the location requires remediation.;In further methods, remediation is performed. In still further methods, a three-dimensional visualization of the structure is generated with an overlay which depicts predicted metal loss over the sections of the structure.
机译:根据本公开的方法将处理器配置为预测用于修复结构的金属损耗。该方法使用基于历史数据的机器学习模型,以历史数据训练,以预测预测时结构的金属损耗。该方法从预测的位置中识别到结构上的高风险位置,其中金属损耗的大小指示所需的潜在修复,将机器人车辆调度到结构上的高风险位置,并检查高风险位置机器人车辆确认位置处的金属损失的大小是否需要修复。;在进一步的方法中,进行修复。在进一步的方法中,利用覆盖物产生结构的三维可视化,其描绘了结构部分上的预测金属损失。

著录项

  • 公开/公告号US2021096529A1

    专利类型

  • 公开/公告日2021-04-01

    原文格式PDF

  • 申请/专利权人 SAUDI ARABIAN OIL COMPANY;

    申请/专利号US201916587329

  • 申请日2019-09-30

  • 分类号G05B19/406;G06N3/08;B25J9/16;G05B19/418;G05B19/19;G05D1/02;

  • 国家 US

  • 入库时间 2022-08-24 18:01:29

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