{"title":"MORSAF: a real-time assistant for the management of a petrochemical plant","authors":"E Pessi, E Bullo","doi":"10.1016/0066-4138(94)90088-4","DOIUrl":null,"url":null,"abstract":"<div><p>MORSAF is a real-time expert system designed to assist the operator of the SARAS oil refinery in the daily management of the topping plant. The main functionality provided by MORSAF is fault diagnosis, which is performed by an algorithm which reasons upon the faulty behaviour of the topping process represented through causal networks. Moreover, a prevention reasoning module has been designed to detect any unexpected behaviour by monitoring a set of significant process variables. Finally, a prediction functionality has been integrated to allow the filtering of redundant pre-alarms.</p><p>Since MORSAF has been developed as the demonstrator for the REAKT Esprit projects, its architecture strongly depends on the one of the REAKT toolkit, which is based on the blackboard model of multi-agents co-operation.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"19 ","pages":"Pages 341-346"},"PeriodicalIF":0.0000,"publicationDate":"1994-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0066-4138(94)90088-4","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review in Automatic Programming","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0066413894900884","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
MORSAF is a real-time expert system designed to assist the operator of the SARAS oil refinery in the daily management of the topping plant. The main functionality provided by MORSAF is fault diagnosis, which is performed by an algorithm which reasons upon the faulty behaviour of the topping process represented through causal networks. Moreover, a prevention reasoning module has been designed to detect any unexpected behaviour by monitoring a set of significant process variables. Finally, a prediction functionality has been integrated to allow the filtering of redundant pre-alarms.
Since MORSAF has been developed as the demonstrator for the REAKT Esprit projects, its architecture strongly depends on the one of the REAKT toolkit, which is based on the blackboard model of multi-agents co-operation.
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