Using Semantic Systems Engineering Techniques to Verity the Large Aperture Space Telescope Mission – Current Status

Gregory, Joe, Nair, Manu H., Bullegas, Gianmaria and Rai Saaj, Mini (2022) Using Semantic Systems Engineering Techniques to Verity the Large Aperture Space Telescope Mission – Current Status. In: Model Based Space Systems and Software Engineering MBSE2021, 29-30 September 2022, European Space Agency, Amsterdam.

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Using Semantic Systems Engineering Techniques to Verity the Large Aperture Space Telescope Mission – Current Status
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Abstract

MBSE aims to integrate engineering models across tools and domain boundaries to support traditional systems engineering activities (e.g., requirements elicitation and traceability, design, analysis, verification and validation). However, MBSE does not inherently solve interoperability with the multiple model-based infrastructures involved in a complex systems engineering project. The challenge is to implement digital continuity in the three dimensions of systems engineering: across disciplines, throughout the lifecycle, and along the supply chain. Space systems are ideal candidates for the application of MBSE and semantic modelling as these complex and expensive systems are mission-critical and often co-developed by multiple stakeholders. In this paper, the authors introduce the concept of Semantic Systems Engineering (SES) as an expansion of MBSE practices to include semantic modelling through SWTs. The paper also presents the progress and status of a novel Semantic Systems Engineering Ontology (SESO) in the context of a specific design case study – the Large Aperture Space Telescope mission.

Keywords:MBSE, Large Aperture Space Telescope, Ontology, Modelling, Co-simulation, Semantic
Subjects:H Engineering > H650 Systems Engineering
Divisions:College of Science > School of Engineering
ID Code:49463
Deposited On:20 May 2022 12:56

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