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Method and system for real-time diagnostics and fault monitoring in a robotic system

机译:机器人系统中实时诊断和故障监测的方法和系统

摘要

To determine a cause of a fault in a robotic system, a diagnostic service of the robotic system will receive primary signals from various processes running on the robotic system. The service will access a graph representation of functions as stored in memory, and the service will perform the functions on one or more of the primary signals to yield one or more derived signals. A sink of the robotic system will subscribing to a causal trace that includes a value for a specified one of the derived signals and an identification of each signal from which the specified derived signal was derived. During runtime, the sink will receive updates to the causal trace as the value for the specified derived signal changes. The diagnostic service will use the causal trace to identify a process that caused the fault.
机译:为了确定机器人系统中的故障的原因,机器人系统的诊断服务将从机器人系统上运行的各种进程接收主要信号。 该服务将访问存储在存储器中的函数的图形表示,并且该服务将在一个或多个主信号上执行功能以产生一个或多个导出信号。 机器人系统的沉没器将订阅包括用于指定信号之一的值的因果迹线,以及指定导出信号的每个信号的标识。 在运行时期间,接收器将接收对因果迹线的更新作为指定导出信号的值。 诊断服务将使用因果迹线标识导致故障的过程。

著录项

  • 公开/公告号US11209817B2

    专利类型

  • 公开/公告日2021-12-28

    原文格式PDF

  • 申请/专利权人 ARGO AI LLC;

    申请/专利号US201916403943

  • 发明设计人 RANDALL NORTMAN;MICHAEL DACKO;

    申请日2019-05-06

  • 分类号G05D1;G07C5/08;G07C5/02;

  • 国家 US

  • 入库时间 2022-08-24 23:04:24

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