Agent-Based Simulation and Ontology Integration for System-of-System Exploration

Lovaco, Jorge L.; Franzén, Ludvig Knöös; Krus, Petter

doi:10.1007/978-3-031-29129-6_2

Cited by 1 publication

(1 citation statement)

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“…By defining a common ontology of the components, interfaces, and behaviours of the systems in the study, it becomes easier for everyone involved to reason about how different systems interact with one another, and how changes done to one system will affect the others. Additionally, ontologies can facilitate the tracing of requirements, decisions, and outcomes across the SoS, which is important for understanding the impact of changes and making informed decisions (Lovaco, 2023). For visual clarity, Fig.…”

Section: Ontology Modellingmentioning

confidence: 99%

Traceable System of Systems Explorations Using RCE Workflows

Lovaco,

Staack,

Krus

2023

Linköping Electronic Conference Proceedings

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The System of Systems (SoS) framework plays a pivotal role in delimiting aircraft design spaces by examining interactions among its Constituent Systems (CS). Each CS has a distinct collection of capabilities, some of which may be shared with other CS. The framework explores emergent behaviours that arise from communication between the CS within the SoS. These emergent behaviours are characterized by their unattainability by any individual CS and result from their collaborative nature. The identification of these emergent behaviours enables System of Systems Engineering (SoSE) to pinpoint the most valuable configurations of the SoS, thereby maximizing the collective value. Furthermore, these emergent behaviours aid in stipulating design requirements for new systems based on the capabilities outlined in the SoS study. To map the relationship between needs, capabilities, requirements, and behaviours, maintaining traceability throughout the study is paramount.This research employs workflows created using the Remote Component Environment (RCE), a specialized tool for structured and automated task development. The objective is to showcase RCE's integration capabilities- specifically for software tools and Python scripts- with task scheduling. This integration enables swift extraction of results, making them available at every step, thus augmenting analysis efficiency. The study focuses on the perspective of an aircraft designer during the early concept generation phase, specifically applied to the development of an electric Unmanned Aerial Vehicle (UAV) concept for wildfire detection.

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Section: Ontology Modellingmentioning

confidence: 99%