M. Cappelli, A. Gadomski, Fabrizio Memmi, M. Sepielli, M. W. Wronikowska
{"title":"Influence of cognitive human factor on nuclear reactor safety: a simple decision support system for operators in emergency conditions","authors":"M. Cappelli, A. Gadomski, Fabrizio Memmi, M. Sepielli, M. W. Wronikowska","doi":"10.1504/IJNKM.2017.084136","DOIUrl":null,"url":null,"abstract":"In this paper a prototype for the TRIGA Research Reactor Decision Support System is proposed. Its framework is realised on the basis of three models: the Universal Management Paradigm, the Information-Preference-Knowledge Model from the TOGA meta-theory, and the Finite State Machine Model. Such an application uses data from the instrumentation and control system and according to the human factor state recognises the type of operative situation and suggests to the operator a decision action as an output. The tool can be used for helping the operator in accident conditions. Here, for illustrative purposes only, an accidental variation of the control rod position has been simulated and results from the proposed tool are analysed.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nuclear Knowledge Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJNKM.2017.084136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper a prototype for the TRIGA Research Reactor Decision Support System is proposed. Its framework is realised on the basis of three models: the Universal Management Paradigm, the Information-Preference-Knowledge Model from the TOGA meta-theory, and the Finite State Machine Model. Such an application uses data from the instrumentation and control system and according to the human factor state recognises the type of operative situation and suggests to the operator a decision action as an output. The tool can be used for helping the operator in accident conditions. Here, for illustrative purposes only, an accidental variation of the control rod position has been simulated and results from the proposed tool are analysed.