情境识别中知识的结构化描述

H. Shimakawa, S. Ikebata
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引用次数: 1

摘要

在故障诊断中,识别设备和仪器的异常行为和症状等情况。实时态势识别将实现工业设备和仪器的先进维护。阐述了如何为实时态势识别指定结构化的知识描述。阐述了知识描述的难点——复杂性和模块化。数据抽象的应用是为了避免信息的过剩。应用抽象数据类型机制来表示概念、关系和情况。提出了具有自治和通信机制的模块作为协作计算单元。还解释了一种基于模块的语言,并包含用于实时情况识别的专门机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The structured description of the knowledge in the situation recognition
In fault diagnoses, situations such as abnormal behaviour and symptoms of equipment and instruments are recognized. Real-time situation recognition would realize the advanced maintenance of industrial equipment and instruments. The authors explain how to specify the structured knowledge description for real-time situation recognition. Complexity and modularity which are the difficulties in knowledge description are explained. Data abstractions are applied to avoid the excess of information. An abstract-data-type mechanism is applied to represent concepts, relations, and situations. Modules which have autonomy and communication mechanisms are proposed as cooperative computational units. A language which grounds the modules and contains specialized mechanisms for real-time situation recognition is also explained.<>
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