An AAS-based digital twin framework for model reusability and application extensibility in industrial robot systems

초록

The Asset Administration Shell (AAS) of Industry 4.0 is a key technology for enabling information interoperability among heterogeneous assets in smart manufacturing. This study proposes an AAS-based digital twin framework that ensures both model reusability and application extensibility. The framework defines a neutral model based on the AAS meta-model linked with external reference data, allowing the digital twin to flexibly respond to changes in asset configuration. This approach improves the reusability of asset data. In addition, multiple application functions can be integrated without modifying the neutral model, which guarantees the extensibility of the digital twin system. To validate the proposed framework, digital twins of industrial robotic systems performing remote underwater cutting, wire arc additive manufacturing, and pneumatic transfer were implemented. When the configuration of the robotic system was changed, 84 % of the digital twin data were reused. Furthermore, a structural implementation efficiency of 87 % was achieved, enabling the flexible development of two digital twin systems-real-time operational monitoring and 3D operational simulation-without structural modification.

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