Asset Administration Shells (AAS) are a core element of Industry 4.0, which helps to create interoperability across machines and companies in production plants and hence support global digitalization. The capabilities of AAS for semantic description and the management of cross-machine data are usually the focus of attention. However, AAS can also be used for direct control by aggregating and historicizing machine data and making this data available to control applications. Using AAS in this way simplifies and reduces the necessary network connections between data sources and sinks and enables standardized access to production data. In addition to the basic capabilities of local communication, the software which interacts with the AAS must also have event-based functionalities for network communication. This paper presents such a software architecture that uses the BaSyx Python SDK to extend the AAS with event-based communication via OPC UA and enables historization through time series. Furthermore, an industrial plant is used to show how such software can structure the network topology to reach a more effective, decentralized control of individual plant areas.
Cambatzu et al. (Thu,) studied this question.
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