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An architectural framework for development of an expert system for optimizing natural gas pipeline operations.

机译：开发用于优化天然气管道运营的专家系统的体系结构框架。

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摘要

This thesis presents an expert system as a decision support tool to optimize natural gas pipeline operations. A natural gas pipeline control system is a controlling system that involves many complicated operating processes. Hence a dispatcher (who operates the system) might not be able to handle all of his or her tasks consistently. Moreover, the simulation program, which is currently used to control the system, does not provide sufficient information to operate the system to users. Hence, an expert system has been developed for optimizing the operations by providing consistent, fast and reliable decision support to the dispatcher. Consequently, inconsistency in the dispatcher's performance can be minimized. To build an expert system, the knowledge from an experienced dispatcher, who is familiar with the process in this controlling system is acquired and that knowledge has been implemented as rules in the knowledge base of the expert system. Once this expert system is built and validated by gas pipeline experts, it can help inexperienced dispatchers to operate the processes more effectively. The expert system is implemented on the expert system shell G2 (developed by Gensym Corp. of USA). The system also comes with an easy to use graphical user interface that helps dispatchers visualize system conditions. The expert system has been validated by the experts from SaskEnergy/Transgas.
机译：本文提出了一个专家系统，作为优化天然气管道运行的决策支持工具。天然气管道控制系统是一种涉及许多复杂操作过程的控制系统。因此，调度员（负责操作系统的调度员）可能无法始终如一地处理其所有任务。而且，当前用于控制系统的仿真程序没有向用户提供足够的信息来操作系统。因此，已经开发了一种专家系统，用于通过为调度员提供一致，快速和可靠的决策支持来优化操作。因此，可以最大程度地减少调度程序性能的不一致。为了构建专家系统，需要从经验丰富的调度员那里获得知识，该调度员熟悉此控制系统中的过程，并且已在专家系统的知识库中将这些知识作为规则来实现。一旦建立了该专家系统并由天然气管道专家进行了验证，它便可以帮助经验不足的调度员更有效地操作流程。专家系统在专家系统外壳G2（由美国Gensym Corp.开发）上实现。该系统还带有易于使用的图形用户界面，可帮助调度员可视化系统状况。专家系统已经过SaskEnergy / Transgas专家的验证。

著录项

  • 作者

    Uraikul, Varanon.;

  • 作者单位

    The University of Regina (Canada).;

  • 授予单位 The University of Regina (Canada).;
  • 学科 Engineering Civil.;Artificial Intelligence.;Energy.
  • 学位 M.A.Sc.
  • 年度 2000
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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