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Abstract life-cycle modeling of cyber-physical systems in civil engineering

Publikationstyp
Conference Paper
Date Issued
2020-02-09
Sprache
English
Author(s)
Legatiuk, Dmitrii  
Lossev, L.  
Smarsly, Kay  
Volkov, S.  
TORE-URI
http://hdl.handle.net/11420/9194
Citation
European Conference on Product and Process Modeling (ECPPM 2020)
Contribution to Conference
13th European Conference on Product and Process Modeling (ECPPM). Moscow, Russia, 09/02/2020.  
With recent advancements in embedded sensing technologies for the Internet of Things, cyber-physical systems, instrumented with structural health monitoring and control applications, are increasingly implemented in civil engineering. Several approaches towards metamodeling cyber-physical systems in civil engineering have been proposed in recent years, based on unified modeling language (UML), category theory, and abstract algebra. However, life-cycle metamodeling of cyber-physical systems in civil engineering has not yet been addressed in its full generality. The evolution of a cyber-physical system (CPS) during its life cycle typically requires the evolution of the corresponding metamodel, because different components of a system may be added or removed. Therefore, life-cycle metamodeling approaches must provide possibilities to de-scribe temporal behavior of CPS components, which is not supported by current metamodeling approaches utilized in civil engineering practice. Thus, in this study, an abstract modeling concept for integrating tem-poral evolutions of cyber-physical systems in civil engineering into existing metamodeling approaches is pro-posed. The integration starts with a detailed description of a typical CPS life cycle in civil engineering, under-lying unique features for each life-cycle phase. The features characterizing phases of a CPS life cycle are abstracted and formalized by abstract algebraic constructions, supporting diagram-based modeling approach-es, such as UML. Finally, an illustrative example of abstract CPS life-cycle modeling for additive manufac-turing of concrete is presented.
Funding(s)
Semi-probabilistische, sensorbasierte Bemessungs- und Entwurfskonzepte für intelligente Bauwerke  
Fehlertolerantes, drahtloses Bauwerksmonitoring basierend auf Frameanalyse und Deep Learning  
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