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Data Spaces as the Distributed Communication Means for Industrial Automation and Control Systems
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Datum
2023
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Gesellschaft für Informatik e.V.
Zusammenfassung
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.