Bibliography | 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). University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology. pp. 39-49, english. IARIA, August 2019. ISSN: 1942-2679. Article in Journal.
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Corporation | IARIA |
CR-Schema | E.0 (Data General)
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Keywords | Industry 4.0; Edge Computing; Situation Recognition; Distribution Pattern |
Abstract | 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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Full text and other links | PDF
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Copyright | 2019, © Copyright by authors, Published under agreement with IARIA |
Contact | mathias.mormul@ipvs.uni-stuttgart.de |
Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
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Project(s) | IC4F
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Entry date | August 20, 2019 |
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