Leveraging Asset Administration Shells to Model Application Requirements and Data Traffic Parameters in Industrial Automation

This paper explores the Asset Administration Shell (AAS) for modelling and managing application requirements in industrial automation. Parameters are defined as influencing quantities for traffic modelling and performance parameters for communication requirements. These form a comprehensive digital twin of the application, aligning its needs with the communication system capabilities. A use case demonstrates managing competing logical links, prioritizing periodic traffic over non-periodic. The AAS dynamically adjusts data rates to meet stringent timing requirements, ensuring uninterrupted critical data flow. Results demonstrate the potential of AAS in efficient resource management and operational optimization for industrial applications.