Formal Verification of Nonfunctional Requirements of Overall Instrumentation and Control Architectures

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of the Industrial Electronics Society Pub Date : 2024-06-12 DOI:10.1109/OJIES.2024.3413568
Polina Ovsiannikova;Antti Pakonen;Dmitry Muromsky;Maksim Kobzev;Viktor Dubinin;Valeriy Vyatkin
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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.
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整体仪表和控制架构非功能性要求的形式化验证
安全关键型网络物理系统的设计需要对其运行逻辑进行严格检查,并对其整体仪器与控制(I&C)架构进行分析。在本文中,我们以核电站设计为例,重点讨论后者,并使用形式化验证方法来推理用本体表示的 I&C 架构的正确性。一个安全的核电站必须符合纵深防御原则,该原则对其所包含的 I&C 系统的物理和功能组件引入了约束。这项工作提出了一种使用功能块图设计非功能性需求的方法,使用逻辑编程对其进行定义,并演示了在图形工具 FBQL 中的实现。该工具将代表待检查的 I&C 架构的本体作为输入,可对复杂的非功能性需求进行可视化设计,并对检查结果进行解释。
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来源期刊
IEEE Open Journal of the Industrial Electronics Society
IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
10.80
自引率
2.40%
发文量
33
审稿时长
12 weeks
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.
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