Ontology-based approach for analyzing nuclear overall I&C architectures

Antti Pakonen; Teemu Mätäsniemi

doi:10.1109/IECON48115.2021.9589078

Ontology-based approach for analyzing nuclear overall I&C architectures

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Scopus)

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Abstract

Nuclear power plants have many different instrumentation and control (I&C) systems. Together, these systems (and their various dependencies) form the overall I&C architecture, which needs to fulfill the principle of defence-in-depth. The safety systems need to be sufficiently independent from the normal operation systems to avoid common cause failure.Semantic Web technologies use formal conceptual models— ontologies—to associate meaning with unstructured data. The knowledge base is built on named graphs, allowing complex queries with reasoning. The results are based on more than just statistical patterns.In this paper, we demonstrate the use of an OWL ontology to represent engineering knowledge about overall nuclear I&C architectures. We show how, using flexible SPARQL queries, we can then analyse the different dependencies between the I&C systems. We have built a public case study based on a proposed pressurised water reactor type. We detected several potential design issues, which suggests the approach could improve nuclear safety and support design work.

Original language	English
Title of host publication	IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1-7
Number of pages	7
ISBN (Electronic)	978-1-6654-3554-3
ISBN (Print)	978-1-6654-0256-9
DOIs	https://doi.org/10.1109/IECON48115.2021.9589078
Publication status	Published - 13 Oct 2021
MoE publication type	A4 Article in a conference publication
Event	47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 - Virtual conference, Toronto, Canada Duration: 13 Oct 2021 → 16 Oct 2021 https://ieeeiecon.org/

Conference

Conference	47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Country/Territory	Canada
City	Toronto
Period	13/10/21 → 16/10/21
Internet address	https://ieeeiecon.org/

Keywords

control systems
systems architecture
Semantic web
nuclear power generation

Access to Document

10.1109/IECON48115.2021.9589078

Pakonen IECON 2021 preprintAccepted author manuscript, 259 KB

Cite this

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title = "Ontology-based approach for analyzing nuclear overall I&C architectures",

abstract = "Nuclear power plants have many different instrumentation and control (I&C) systems. Together, these systems (and their various dependencies) form the overall I&C architecture, which needs to fulfill the principle of defence-in-depth. The safety systems need to be sufficiently independent from the normal operation systems to avoid common cause failure.Semantic Web technologies use formal conceptual models— ontologies—to associate meaning with unstructured data. The knowledge base is built on named graphs, allowing complex queries with reasoning. The results are based on more than just statistical patterns.In this paper, we demonstrate the use of an OWL ontology to represent engineering knowledge about overall nuclear I&C architectures. We show how, using flexible SPARQL queries, we can then analyse the different dependencies between the I&C systems. We have built a public case study based on a proposed pressurised water reactor type. We detected several potential design issues, which suggests the approach could improve nuclear safety and support design work.",

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Pakonen, A & Mätäsniemi, T 2021, Ontology-based approach for analyzing nuclear overall I&C architectures. in IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society., 9589078, IEEE Institute of Electrical and Electronic Engineers, pp. 1-7, 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 , Toronto, Ontario, Canada, 13/10/21. https://doi.org/10.1109/IECON48115.2021.9589078

Ontology-based approach for analyzing nuclear overall I&C architectures. / Pakonen, Antti ; Mätäsniemi, Teemu.
IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE Institute of Electrical and Electronic Engineers, 2021. p. 1-7 9589078.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Pakonen, Antti

AU - Mätäsniemi, Teemu

N1 - Funding Information: The case study was conducted using the Protégé resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health. Publisher Copyright: © 2021 IEEE.

PY - 2021/10/13

Y1 - 2021/10/13

N2 - Nuclear power plants have many different instrumentation and control (I&C) systems. Together, these systems (and their various dependencies) form the overall I&C architecture, which needs to fulfill the principle of defence-in-depth. The safety systems need to be sufficiently independent from the normal operation systems to avoid common cause failure.Semantic Web technologies use formal conceptual models— ontologies—to associate meaning with unstructured data. The knowledge base is built on named graphs, allowing complex queries with reasoning. The results are based on more than just statistical patterns.In this paper, we demonstrate the use of an OWL ontology to represent engineering knowledge about overall nuclear I&C architectures. We show how, using flexible SPARQL queries, we can then analyse the different dependencies between the I&C systems. We have built a public case study based on a proposed pressurised water reactor type. We detected several potential design issues, which suggests the approach could improve nuclear safety and support design work.

AB - Nuclear power plants have many different instrumentation and control (I&C) systems. Together, these systems (and their various dependencies) form the overall I&C architecture, which needs to fulfill the principle of defence-in-depth. The safety systems need to be sufficiently independent from the normal operation systems to avoid common cause failure.Semantic Web technologies use formal conceptual models— ontologies—to associate meaning with unstructured data. The knowledge base is built on named graphs, allowing complex queries with reasoning. The results are based on more than just statistical patterns.In this paper, we demonstrate the use of an OWL ontology to represent engineering knowledge about overall nuclear I&C architectures. We show how, using flexible SPARQL queries, we can then analyse the different dependencies between the I&C systems. We have built a public case study based on a proposed pressurised water reactor type. We detected several potential design issues, which suggests the approach could improve nuclear safety and support design work.

KW - control systems

KW - systems architecture

KW - Semantic web

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ER -

Ontology-based approach for analyzing nuclear overall I&C architectures

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