在实时专家系统中为控制中心操作员提供解释

N. Malheiro, Z. Vale, C. Ramos, A. Silva, A. Marques
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引用次数: 4

摘要

人工智能技术用于解决电力系统问题已有多年历史。专家系统在这一领域尤为重要。然而,概念专家系统的能力尚未得到充分的探索。它们以符号形式表示知识的能力,从而允许解释它的每一个行为,用它编码的知识来证明它是被忽视的专家系统可能性的一个例子。对于具有实时设计要求的专家系统,启用有效的解释功能会施加几个必须考虑的重要约束。本文设计并实现了一种用于葡萄牙输电控制中心在线运行的智能报警处理和电力恢复辅助专家系统SPARSE的解释机制。这种解释机制旨在用于干扰最小的实时专家系统。它还打算作为一个服务器,为任何需要它们的应用程序提供解释,无论是图形用户界面,辅导模块还是其他任何应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Providing explanations in a real-time expert system for control center operator assistance
Artificial intelligence techniques have been used for solving power systems problems for some years now. Expert systems in particular were of increasing importance in this area. Nevertheless, conceptual expert systems' capabilities have not yet been totally explored. Their ability to represent knowledge in a symbolic form thus allowing the explanation of its every behavior, justifying it with the knowledge it encodes is an example of neglected expert systems' possibilities. Regarding expert systems with real-time design requirements, the enabling of effective explanation features imposes several important constraints that must be taken into account. This paper presents an explanation mechanism that has been designed and implemented to be used by SPARSE, an expert system for intelligent alarm processing and power restoration aid which is running online in a Portuguese transmission control center. This explanation mechanism is intended for use in the real-time expert system with minimum of disturbances. It is also intended to work as a server, making explanations available to any application that requires them, be it a graphical user interface, a tutor module or any other.
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