首页> 外文学位 >A KNOWLEDGE BASED FRAMEWORK FOR PROCEDURE SYNTHESIS AND ITS APPLICATION TO THE EMERGENCY RESPONSE IN A NUCLEAR POWER PLANT (ARTIFICIAL INTELLIGENCE, EXPERT SYSTEM).
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A KNOWLEDGE BASED FRAMEWORK FOR PROCEDURE SYNTHESIS AND ITS APPLICATION TO THE EMERGENCY RESPONSE IN A NUCLEAR POWER PLANT (ARTIFICIAL INTELLIGENCE, EXPERT SYSTEM).

机译:基于过程的知识库框架及其在核电站(人工智能,专家系统)的应急响应中的应用。

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摘要

In this dissertation a nuclear power plant operator is viewed as a knowledge based problem solver. It is shown that in responding to an abnormal situation an operator typically solves several problems, for example, plant status monitoring, diagnosis, sensor data validation, consequence prediction and procedure synthesis. It is proposed that in order to respond to unexpected situations and handle procedure failures the capability to synthesize and modify procedures dynamically or in runtime is required. A knowledge based framework for dynamically synthesizing procedures (DPS), a knowledge representation language to apply DPS framework for real problems (DPSRL), and a framework for emergency procedure synthesis (FEPS) for nuclear power plants based on DPS are developed.; The DPS framework views the task of synthesis as a process of selecting predefined procedures to match the needs of the dynamically changing plant conditions. The DPSRL language provides knowledge organization and representation primitives required to support the DPS framework. Specifically, it provides mechanisms to build various plan libraries and procedures to access information from them.; The DPS based framework for emergency procedure synthesis for nuclear power plants provides following capabilities: (1) instead of a few safety functions it utilizes a hierarchy of safety goals thus providing the capability to detect and control safety threatening situations at various levels in the plant; (2) the safety goals hierarchy also implements a type of defense-in-depth philosophy for reactor operations; (3) it also provides a smoother transition between the function based procedures and abnormal event procedures leading to an effective intergration between the two approaches; and it provides various problem solving capabilities required for procedure selection, synthesis, execution, and failure recovery.; Finally, the capabilities and the use of DPS, DPSRL, and FEPS are demonstrated by developing an experimental expert system for a typical boiling water reactor and analyzing its performance for various selected abnormal incidents. It is concluded that the knowledge based approach provides an adequate methodology to develop approaches to aid the operator in knowledge based decision making. (Abstract shortened with permission of author.)
机译:在本文中,核电厂的运营商被视为基于知识的问题解决者。结果表明,在应对异常情况时,操作员通常会解决一些问题,例如工厂状态监控,诊断,传感器数据验证,结果预测和过程综合。建议为了响应意外情况和处理过程失败,需要动态或在运行时合成和修改过程的能力。开发了一种基于知识的动态合成程序框架(DPS),一种将DPS应用于实际问题的知识表示语言(DPSRL)以及基于DPS的核电厂应急程序综合框架(FEPS)。 DPS框架将合成任务视为选择预定义程序的过程,以匹配动态变化的工厂条件的需求。 DPSRL语言提供支持DPS框架所需的知识组织和表示原语。具体来说,它提供了构建各种计划库和过程以从中访问信息的机制。基于DPS的核电站应急程序综合框架提供了以下功能:(1)代替了一些安全功能,它利用了安全目标的层次结构,从而提供了检测和控制电厂各个级别安全威胁情况的能力; (2)安全目标层次结构还为反应堆运行实施了一种纵深防御理念; (3)它还提供了基于功能的过程和异常事件过程之间的更平滑过渡,从而导致两种方法之间的有效整合;它提供了过程选择,综合,执行和故障恢复所需的各种问题解决能力。最后,通过为典型的沸水反应堆开发实验专家系统并分析其针对各种选定异常事件的性能,来证明DPS,DPSRL和FEPS的功能和用途。结论是,基于知识的方法为开发方法提供了适当的方法,以帮助操作员进行基于知识的决策。 (摘要经作者许可缩短。)

著录项

  • 作者

    SHARMA, DEVA-DATTA.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Engineering Nuclear.
  • 学位 Ph.D.
  • 年度 1986
  • 页码 374 p.
  • 总页数 374
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 原子能技术;
  • 关键词

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