Models for supporting the operating scenarios during a life cycle in automated systems

• Published in: Procedia computer science 2021, Vol.186, p.460-465
• Main Authors: Khranilov, V.P., Misevich, P.V., Pankratova, E.N., Ermilov, A.E.
• Format: Article
• Language: English
• Subjects: aggregate; Automated system; design; dynamical model; frame network; fuzzy logic; hybrid knowledge; life cycle; logistic; mathematical model; monitoring system; parameters of the products; scenario; situational analysis
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2021.04.166

The paper presents models for describing the operating scenarios of automated systems. The authors introduce and analyze the category “the life cycle of automated system scenarios”. The life cycle consists of a sequence of stages. The leading success factor of any scenario is the support of the scenario during all stages of its life cycle. The most important stages of the scenario life cycle are the following: the stage of forming the event set for generating the scenario, the stage of performing the sequence of scenario events and the stage of situational analysis of the external and internal environment of the event. In the article it is proposed to use a theoretical set model in order to select an element from a set of alternatives. The elements are events for designing a scenario. The model uses fuzzy logic and is based on the process of controlling an array of parameters if variants are available. The model is used to support the stage of forming a set of events for generating the scenario. The mathematical model of automated system operation which is used to support the stage of performing the sequence of scenario events is suggested in the article. The model is based on the principle of information logistics: each parameter (a set of data) is in the right place in the automated system, ‘just-in-time’ and in the required format. A modified frame model is proposed to support situational analysis. Situational analysis is used to operate the event algorithms and to determine the next event in the scenario. The modified frame model is based on the use of fuzzy logic procedures in a frame network.