Semantic mapping support in AutomationML

Abstract

In production system engineering, the machine-understandable definition of relations between engineering information views is important to enable automating dependency checking between these views. Unfortunately, in automation engineering there is no standardized representation of relations and dependencies, which makes it difficult to automate consistency checking. In this paper we derive requirements for describing relations and dependencies in the semantics of typical engineering models. We investigate the emerging data exchange standard AutomationML regarding the representation of semantic mapping types that represent relations and dependencies between engineering models. Major result is the identification on how semantic mapping types are modeled in AutomationML to find similarities and differences, which can help to improve the machine-understandable modeling of the dependencies in AutomationML to enable the automation of engineering processes.