Display of diagnostic information from multiple viewpoints in an anomalous situation of complex plants

Display of diagnostic information from multiple viewpoints in an anomalous situation of complex plants
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在复杂植物的异常情况下从多个角度显示诊断信息

DOI:
10.1109/icsmc.1999.815627
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发表时间:
1999
期刊:
IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028)
影响因子:
--
通讯作者:
Y. Tanaka
Y. Tanaka
中科院分区:
--
文献类型:
--
作者:
A. Gofuku;Y. Tanaka

文献摘要

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本文描述了称为语义表示接口(SI)的智能信息显示代理的目标、方法和现状。 SI 在异常情况下从功能角度以及行为、操作和结构角度向工厂操作员显示诊断信息。工厂的功能信息将帮助操作员了解整个工厂的情况以及操作手册中或 SI 建议的建议对策的必要性。异常识别和寻找可能的对策的诊断信息是通过基于功能模型的定性推理得出的。使用由智能模块化模拟系统生成的快速未来预测代码来选择将在不久的将来开发的合适的反作用。导出的诊断信息以图形方式显示,以便操作员可以将信息理解为模式。除了图形显示之外,还会自动显示了解工厂情况所需的图表和派生的诊断信息。通过在炼油厂中的应用,讨论了采用定性推理的诊断技术的适用性。
The paper describes the objectives, approaches, and current status of an intelligent information display agent called semantic representation interface (SI). The SI displays diagnostic information from a functional viewpoint as well as from behavioral, operational, and structural ones to plant operators in an anomalous situation. The functional information of the plant will help operators to understand the overall plant situation and the necessity of a recommended counter action written in operation manuals or suggested by the SI. Diagnostic information of anomaly identification and finding possible counter actions are derived by qualitative reasoning based on a functional model. The selection of suitable counter actions which will be developed in the near future is made using a fast future prediction code generated by an intelligent modular simulation system. The derived diagnostic information is displayed in a graphical way so that an operator can understand the information as a pattern. In addition to the graphical display, necessary graphs to understand the plant situation and the derived diagnostic information are automatically shown. The applicability of the diagnostic techniques applied the qualitative reasoning is discussed through applications to an oil refinery plant.