Abstract
The AAS and OPC UA are pivotal technologies for Industry 4.0, enabling asset data exchange across the value chain based on different lifecycle stages or system requirements. Mapping their meta-models is essential but challenging due to ongoing divergences. Manual mapping efforts have proven unsustainable over time. This work introduces a model-driven approach with simple rules to automate and maintain mappings. We implement this in the aas-core-works of generators, demonstrating consistent asset representation in both AAS and OPC UA. This approach guarantees better long-term maintainability, accelerates development, enhances interoperability, and flexibility of digital twins.