On the Role of Digital Twins in Data Spaces

Abstract

Industry 4.0 supports the vision of networked machines in decentralized production plants across the value chain. Hence, it requires highly connected partners exchanging relevant data about products, processes, and production resources. This paper proposes the usage of data spaces and digital twins to enable this Industry 4.0 vision and investigates the building blocks to realize a data space for Industry 4.0, e.g., the integration of digital twins inside the data space based upon the latest specification of the Industry 4.0 Asset Administration Shell. A prototypical implementation shows the feasibility of storing product carbon footprints inside a digital twin and sharing it over a data space with other partners.

Collaborative Model-Based Systems Engineering Using Dataspaces and SysML v2

“…Furthermore, some research has explored the exchange of Digital Twins within a Dataspace. For instance, Volz et al [78] proposed the modeling process of a Digital Twin using the Asset Administration Shell (AAS) standardized template and integrated AAS into a Dataspace by extending the Dataspace technical components (Eclipse Dataspace Connector). Usländer et al [79] analyzed the close relationship between Digital Twins and Dataspaces, proposing an assigned reference model for the development of collaborative Digital Twins.…”

Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts

“…Concerning the first challenge, the metrology stage of the physical-to-virtual link faces an enormous heterogeneity of data sources (sensor data streams, legacy machinery, ERP systems, tracks of human-machine interaction), which already in itself poses a major challenge to meaningful and secure data sharing [38]. Equally, the digital shadow production offers an increasing method richness of data-and model-driven analytics and machine learning [6,39].…”