Total Inconsistency Management and Optimization in Model-Based Engineering of Industrial Automation Systems
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Beschreibung
Inconsistencies during the engineering process are common and critical. This work addresses the inconsistencies arising during the cross-disciplinary engineering of automated production systems, where models are used for mechanics, electrics/electronics, and control software. A workflow-oriented framework is developed to identify and handle semantic inconsistencies semi-automatically, by coupling models with domain ontologies. Furthermore, multi-fidelity optimization is proposed to efficiently optimize behavior problems. The feasibility and benefits of the framework are demonstrated through use cases from different automation industries.
Autor*in
Minjie Zou
Themen in »Total Inconsistency Management and Optimization in Model-Based Engineering of Industrial Automation Systems«
inconsistency management model-based systems engineering ontology reasoning optimization automation systems