Representing Causal Structures in HAZOP Studies
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Hazard & Operability (HAZOP) studies are a common expert-driven brainstorming methodology to analyze the safety of systems. In this paper, we propose an approach to integrate the content of HAZOP studies of (apparatus and process) by extracting and disclosing the causal structures implied in the HAZOPs. Thus, a methodology for data compression and integration of several HAZOP studies is supposed, resulting in a comprehensible summary of the underlying causal relationships withing the current system set-up. The resulting diagrams constitute a summary of the essential HAZOP studies by disclosing and visualizing the internal causal structures and are hence designed to facilitate interpretations and deductions performed by human operators and support machine-readability. The application of the methodology is implemented in the import of HAZOP-tables to Resource Description Framework (RDF). Using this formalized structure, the export to their original format as table is supported as well, so that the transformation can be conducted without the loss of information in both directions.
Details
Original language | English |
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Title of host publication | Proceedings - 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2021 |
Publisher | Wiley-IEEE Press |
Pages | 1-4 |
Number of pages | 4 |
ISBN (print) | 978-1-7281-2990-7 |
Publication status | Published - 10 Sept 2021 |
Peer-reviewed | Yes |
Conference
Title | 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation |
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Abbreviated title | ETFA 2021 |
Conference number | 26 |
Duration | 7 - 10 September 2021 |
Website | |
Location | online |
City | Vasteras |
Country | Sweden |
External IDs
Scopus | 85122926409 |
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ORCID | /0000-0003-3954-7786/work/142243137 |
ORCID | /0000-0001-5165-4459/work/142248225 |
Keywords
ASJC Scopus subject areas
Keywords
- Conferences, Data compression, Data visualization, Hazards, Manufacturing automation, Resource description framework, Conducive Design, HAZOP Visualization, Modular HAZOP, Modular safety, Process-to-order