{"title":"算法支持智能消防代码检查","authors":"E. Delis, A. Delis","doi":"10.1109/TAI.1991.167107","DOIUrl":null,"url":null,"abstract":"Automatic intelligent fire-code checking is examined. A general approach is considered, wherein engineering code requirements are encoded in a knowledge-based expert system which evaluates a design for overall conformance. The system consists of a frame system, a rule system and a set of geometric algorithms. It identifies code violations and generates a report listing them. A number of the supporting algorithms for eliciting knowledge are discussed.<<ETX>>","PeriodicalId":371778,"journal":{"name":"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Algorithmic support for intelligent fire-code checking\",\"authors\":\"E. Delis, A. Delis\",\"doi\":\"10.1109/TAI.1991.167107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic intelligent fire-code checking is examined. A general approach is considered, wherein engineering code requirements are encoded in a knowledge-based expert system which evaluates a design for overall conformance. The system consists of a frame system, a rule system and a set of geometric algorithms. It identifies code violations and generates a report listing them. A number of the supporting algorithms for eliciting knowledge are discussed.<<ETX>>\",\"PeriodicalId\":371778,\"journal\":{\"name\":\"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1991.167107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1991.167107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithmic support for intelligent fire-code checking
Automatic intelligent fire-code checking is examined. A general approach is considered, wherein engineering code requirements are encoded in a knowledge-based expert system which evaluates a design for overall conformance. The system consists of a frame system, a rule system and a set of geometric algorithms. It identifies code violations and generates a report listing them. A number of the supporting algorithms for eliciting knowledge are discussed.<>