{"title":"整体仪表和控制架构非功能性要求的形式化验证","authors":"Polina Ovsiannikova;Antti Pakonen;Dmitry Muromsky;Maksim Kobzev;Viktor Dubinin;Valeriy Vyatkin","doi":"10.1109/OJIES.2024.3413568","DOIUrl":null,"url":null,"abstract":"The design of safety-critical cyber–physical systems requires a rigorous check of their operation logic, as well as an analysis of their overall instrumentation and control (I&C) architectures. In this article, we focus on the latter and use formal verification methods to reason about the correctness of an I&C architecture represented with an ontology, using the example of a nuclear power plant design. A safe nuclear power plant must comply with the defense-in-depth principle, which introduces constraints on the physical and functional components of the I&C systems it consists of. This work presents a method for designing nonfunctional requirements using function block diagrams, its definition using logical programming, and demonstrates its implementation in a graphical tool, FBQL. The tool takes as input an ontology representing the I&C architecture to be checked and allows visual design of complex nonfunctional requirements as well as explanation of the results of the checks.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"5 ","pages":"616-631"},"PeriodicalIF":5.2000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10555152","citationCount":"0","resultStr":"{\"title\":\"Formal Verification of Nonfunctional Requirements of Overall Instrumentation and Control Architectures\",\"authors\":\"Polina Ovsiannikova;Antti Pakonen;Dmitry Muromsky;Maksim Kobzev;Viktor Dubinin;Valeriy Vyatkin\",\"doi\":\"10.1109/OJIES.2024.3413568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The design of safety-critical cyber–physical systems requires a rigorous check of their operation logic, as well as an analysis of their overall instrumentation and control (I&C) architectures. In this article, we focus on the latter and use formal verification methods to reason about the correctness of an I&C architecture represented with an ontology, using the example of a nuclear power plant design. A safe nuclear power plant must comply with the defense-in-depth principle, which introduces constraints on the physical and functional components of the I&C systems it consists of. This work presents a method for designing nonfunctional requirements using function block diagrams, its definition using logical programming, and demonstrates its implementation in a graphical tool, FBQL. The tool takes as input an ontology representing the I&C architecture to be checked and allows visual design of complex nonfunctional requirements as well as explanation of the results of the checks.\",\"PeriodicalId\":52675,\"journal\":{\"name\":\"IEEE Open Journal of the Industrial Electronics Society\",\"volume\":\"5 \",\"pages\":\"616-631\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2024-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10555152\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of the Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10555152/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10555152/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Formal Verification of Nonfunctional Requirements of Overall Instrumentation and Control Architectures
The design of safety-critical cyber–physical systems requires a rigorous check of their operation logic, as well as an analysis of their overall instrumentation and control (I&C) architectures. In this article, we focus on the latter and use formal verification methods to reason about the correctness of an I&C architecture represented with an ontology, using the example of a nuclear power plant design. A safe nuclear power plant must comply with the defense-in-depth principle, which introduces constraints on the physical and functional components of the I&C systems it consists of. This work presents a method for designing nonfunctional requirements using function block diagrams, its definition using logical programming, and demonstrates its implementation in a graphical tool, FBQL. The tool takes as input an ontology representing the I&C architecture to be checked and allows visual design of complex nonfunctional requirements as well as explanation of the results of the checks.
期刊介绍:
The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments.
Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.