{"title":"The structured description of the knowledge in the situation recognition","authors":"H. Shimakawa, S. Ikebata","doi":"10.1109/AIIA.1988.13350","DOIUrl":null,"url":null,"abstract":"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.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIIA.1988.13350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.<>