Artikel in Zeitschrift ART-2019-12

Bibliograph.
Daten
Mormul, Mathias; Hirmer, Pascal; Wieland, Matthias; Mitschang, Bernhard: Distributed Situation Recognition in Industry 4.0.
In: International Journal On Advances in Intelligent Systems. Vol. 12(1).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 39-49, englisch.
IARIA, August 2019.
ISSN: 1942-2679.
Artikel in Zeitschrift.
KörperschaftIARIA
CR-Klassif.E.0 (Data General)
KeywordsIndustry 4.0; Edge Computing; Situation Recognition; Distribution Pattern
Kurzfassung

In recent years, advances in the Internet of Things led to new approaches and applications, for example, in the domains Smart Factories or Smart Cities. However, with the advantages such applications bring, also new challenges arise. One of these challenges is the recognition of situations, e.g., machine failures in Smart Factories. Especially in the domain of industrial manufacturing, several requirements have to be met in order to deliver a reliable and efficient situation recognition. One of these requirements is distribution in order to achieve high efficiency. In this article, we present a layered modeling approach to enable distributed situation recognition. These layers include the modeling, the deployment, and the execution of the situation recognition. Furthermore, we enable tool support to decrease the complexity for domain users.

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Copyright2019, © Copyright by authors, Published under agreement with IARIA
Kontaktmathias.mormul@ipvs.uni-stuttgart.de
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Projekt(e)IC4F
Eingabedatum20. August 2019
   Publ. Institut   Publ. Informatik