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Auflistung nach Autor:in "deMeer, Jan"

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  • Textdokument
    The 5th GI/ACM Workshop 2020 Scope and Draft Programme on Standardization of Secure and Safe Smart Manufacturing Systems with respect to IEC 62443 IACS
    (INFORMATIK 2020, 2021) deMeer, Jan; Waedt, Karl; Rennoch, Axel; Hof, Hans-Joachim
    The 5th GI/ACM Workshop Programme on Standardization of Secure and Safe Production within Industrial Automation and Control Systems (IACS) took place virtually at September 28, 2020 at the Karlsruhe Institute of Technology (KIT) that hosted the 50th GI's yearly assembly (GI Informatik 2020 Jahrestagung): https://informatik2020.de/programm/workshops/
  • Konferenzbeitrag
    A Common Logic for Industrial Digital Twins: Information Modeling and Semantics for AAS-sheltered Industrial Services
    (INFORMATIK 2024, 2024) deMeer, Jan; Meyer, Olga
    This document intends to provide an industrial semantics that integrates both the Asset Administration Shell (AAS) based methods for providing a digital representation of asset services and the semiotic triangle approach. The major difference between these methods is that the AAS-based method does not provide tools for formal semantics. Instead, semantics is expressed through ontological specifications in conceptual repository elements (CRE) referenced by submodel elements. In contrast, the semiotic triangle expresses semantics through morphisms relating artifacts from three disjoint domains: descriptive ontology, mental understanding, and physical phenomena. This document focuses on the semiotic style of representing semantics for industrial applications, particularly in smart manufacturing, using elements of the AAS-based approach. Industrial semantics, however, is an informal term required for the emerging field of smart manufacturing. It uses elements and entities of the AAS-based approach to specify information and data of signatures, as well as the semantics of asset services. Signatures provide structural information on how to access asset services by using structured submodel elements that in turn reference concept repository elements to provide properties of e.g. materials or production processes. Asset services that are accessed via submodel elements must capture the standardized signatures for accessing these asset services.
  • Konferenzbeitrag
    Data Spaces as the Distributed Communication Means for Industrial Automation and Control Systems
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) deMeer, Jan
    A data space is more than just a repository for data. Even data is more than an item of data. However, in research a data space is not a new philosophy of communication. In this paper the concept of a data space shall be developed for its application in industrial automation and control systems (IACS). For this purpose, the existing reference architecture models, e.g. for I4.0 manufacturing or, electricity transportation and distribution but also for altruistic data dissemination in realms of smart infrastructures like cities, buildings, agriculture etc. Almost all examples of infrastructures shall be extended with something that is called in this paper a ‘fourth dimension’ in addition to the three regular dimensions comprising life cycle value streams, communication protocols and system component hierarchies. The fourth dimension of various reference architecture models can be represented by a combination of the two axes of the life cycle value stream of the system assets i.e., data, products, energy etc. with the axis of layered interoperability dealing with the representation of semantics in the given reference model. Thus, semantics means the state changes performed over time by the considered assets which requires the semantic interoperability between locations of a site or between device of a production chain. A state change issued by actors or processes during the life cycle value stream is an event that is represented in a data model and shall be accessible to other actors via the data space. Thus, the communicating actors or processes interconnected by the data space do not need the traditional layered communication protocols of the architectural models since they are interconnected through a distributed data space which plays the role of a distributed data repository to all actors and recipients of an application.
  • Textdokument
    Semantics for I4.0 Smart Manufacturing
    (INFORMATIK 2020, 2021) deMeer, Jan
    In the realm of ‚Smart Manufacturing' the ‚SemNorm' Project addresses the question of how to at derive an executable Digital Twin (DT) from standards. A Digital Twin is a virtual representation that embodies an asset of any type {[}IOSB18{]}. In that sense a DT is compared to the Asset Administration Shell (AAS). Smart Manufacturing is a real thing of a factory represented by its structure and behavior of inter-connected things that generate real-time data {[}IOSB18{]}. By combining Smart Manufacturing processes with a Digital Twin it is intended to validate operations of a production systems in real-time. In general the properties of inter-operating things respectively systems, and especially the properties of energy transportation between systems are considered to be the ‚Prove of Concepts' (PoC) of semantics. When The Information Technology (IT) that processes data and up to some extend information, is compared to the technology that enables communication among things or objects then the technology is called Operation Technology (OT). Whereas the semantics of IT is straight-forward, namely the interpretation of data objects in different contexts of a sending and a receiving environment, the semantics of OT is achieved on two levels. The the first (informal) level explains semantics as a narrative of how things are processed in a smart manufacturing plant, whereas the second (formal) level defines semantics more formally, i.e. by means of graph manipulations. Graph Manipulations represent sequences of events that are related to the narrative of talking about inter-operations among things. At same time a graph is a computational representation in terms of sequences of events (so-called runs) that are executable by appropriate tools from the shelve. Thus graph computations and told narratives are said to be ‚similar', respectively ‚comparable' since they are related to each other by a morphism i.e. the formal relationship between artifacts of graphs, artifacts from the standard ontology and artifacts of the technical asset domain. The OT narration validated by a graph semantics analysis is finally to be transformed into a standard's document which is then called to be a Semantic Standard. This process is a backward transformation of interoperation properties from a semantic representation into an English text that describes the requirements of these properties. In a forward transformation it is started with the textual standards together with the derived guidelines to transform the standard into a semantic representation respectively a Digital Twin.
  • Konferenzbeitrag
    Sicher und zuverlässig Wirtschaften in der Cloud?
    (Informationstechnologie für eine nachhaltige Landbewirtschaftung – Fokus: Forstwirtschaft, 2012) deMeer, Jan; Effner, Oliver
    Die Idee des sog. Cloud Computing besteht darin, völlig unabhängige Anwendungen gleichzeitig, anonym und virtuell auszuführen. Was bedeuten nun die Adverbien „gleichzeitig“ – „anonym“ und „virtuell“? Die gleichzeitige Ausführung kennen wir bereits seit der Einführung des „Multitasking“ auf lokalen Systemen, aber auch seit der Einführung von „Invokation und Reflexion“ entfernter Programme in Verteilten Systemen. Wohingegen die Virtualisierung ein jüngeres Konzept, entstanden mit der Einführung der Webtechnologien, ist. Virtualisierung bedeutet, dass nun nicht mehr konkrete Kommunikationsoder Server-Ressourcen invokiert, d.h. übers Netz genutzt, werden, sondern lediglich virtuelle, d.h. standardisierte, bzw. typisierte Ressourcen oder Dienste. Während mit der Invokation bereits Zeitund Ortstransparenzc1 bei der Ausführung von Anwendungen Einzug gehalten haben, werden mit der Virtualisierung eben auch die typischen Server-Ressourcen, wie Speicher und Verarbeitungskapazitäten, transparent genutzt. Transparenz bedeutet, dass sich der Klient nicht mehr um die zwar notwendigen, nun aber „verborgenen“ Verbindungen, Methoden, Speicher und Rechner etc. in seiner Programmierung zu kümmern braucht. Es findet also mit der Einführung des Cloud Computing ein Paradigmenwechsel in der Programmierung, aus Sicht des Klienten, statt: Er braucht nur noch seine Aufgaben oder Geschäftsprozesse, die ausgeführt werden sollen, zu deklarieren. Die Zuweisung der benötigten Kommunikations-, Speicherund Verarbeitungsressourcen werden in der Service-Wolke vorgenommen.