Representing Property Dependencies within AutomationML Based Digital Twins

Abstract

Model-based systems engineering (MBSE) is gaining importance within the design of production systems. MBSE is exploited to start and support engineering-chain-crossing consistent and lossless engineering data transport and use finally resulting in a consistent information model that represent sets of digital twins for all relevant assets. Therefore, MBSE strongly depends on the modelling capabilities of the applied model rep-resentation technologies. One of these technologies currently under investigation is AutomationML. AutomationML has been proven to be efficient for information exchange and integration but has insufficient capabilities to represent dependencies be-tween asset properties. This paper introduces an Excel inspired dependency modelling approach for AutomationML based dig-ital twins, to take a step towards closing this gap.