Causal modeling for supervision

Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014) Pub Date : 1900-01-01 DOI:10.1109/ISIC.1999.796660

J. Montmain, S. Gentil

引用次数: 11

Abstract

Today, process control and monitoring are evolving to include plant safety and availability management, online diagnosis and maintenance policy. Human operators are at the highest hierarchical level in the organization of the control system. Supervision aims are to assist control operators in their decision-making tasks, to help them understand and identify operating situations underway in a man-machine cooperation objective. The paper demonstrates how developments in causal reasoning can contribute judiciously to the supervision problem. An original causal modeling that includes time management is described and used for simulation, explanation and diagnosis.

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监督的因果建模

今天，过程控制和监测正在发展，包括工厂安全和可用性管理，在线诊断和维护政策。人类操作员在控制系统的组织中处于最高层次。监督的目的是协助控制操作员进行决策任务，帮助他们了解和识别人机合作目标中正在进行的操作情况。本文论证了因果推理的发展如何对监督问题作出明智的贡献。描述了一个包含时间管理的原始因果模型，并将其用于模拟、解释和诊断。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)

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