Abstract
The implementation of the Digital Twin concept in the form of Asset Administration Shell (AAS) enables smart flow production even in fields that currently do not incorporate such methods, such as in the fabrication of precast concrete elements. The authors present an approach to implement architecture, engineering and construction-specific AAS submodels for flow production using Building Information Modeling (BIM) data and further enhance these with a new stepwise, task-based quality control process utilizing smart devices as a human machine interface to incorporate Augmented Reality visualization. The concept briefly describes the general production process for concrete wall elements, in which the detailed process of creating quality control tasks is embedded, as well as the meta-models for those components communicating using AAS. Utilizing both product type-specific and product instance-specific data, knowledge about the process, the product’s state in the process, and the physical setup enable a reliable and integrated quality control system with clear data flows, automatic documentation, and improved traceability. Finally, a prototypical implementation shows the integration between BIM-Software, the created AAS templates and submodels, and a prototypical quality control setup with smart device support in the proposed process.
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Funding
This research is funded under Grant No. 423963709 by the German Research Foundation as part of the priority project “SPP2187 - Adaptive modularized constructions made in flux”.
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Wolf, M., Siewert, J.L., Vogt, O., Gerhard, D. (2023). Augmented Reality-Assisted Quality Control Based on Asset Administration Shells for Concrete Elements. In: Noël, F., Nyffenegger, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies. PLM 2022. IFIP Advances in Information and Communication Technology, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-031-25182-5_35
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