Build a digital twin of your industrial asset with an automated Asset Administration Shell (AAS)

The process to integrate data into an asset’s description is often done manually. The Asset Administration Shell (AAS) of KI.FABRIK is a standardized digital representation of the asset, which generates data automatically from engineering data (i.e., planning, design, or audit) of different formats (e.g., planning documents in MS Word/PDF, design data in an MCAD/ECAD format, and audit data in XML).

© Technical University of Munich, TUM School of Engineering and Design. Institute of Automation and Information Systems. Munich Institute of Robotics and Machine Intelligence (MIRMI). BMW / NVIDIA. WITTENSTEIN

AAS’ predefined structure not only helps users understand a single file content but also allows the exchange of AASs, including all its supplementary documents and artifacts from one value chain partner to another. The AAS can reference auxiliary files or even executable code. A python script with the following requirements is used to analyze engineering data: anaconda, Python 3.8, Pythonocc, NumPy, Eclipse BaSyx Python SDK, quantulum3, enchant, and re. This approach enables and eases the creation of real-time digital twins.

In this use case, gear manufacturer WITTENSTEIN was able to easily obtain the information on, for example, screws, pins, norms, and tolerances from their suppliers to incorporate into their gear. The easy import of the gear’s AAS creates a digital twin that allows WITTENSTEIN to provide gear information to their customers. For file exchanges that must meet certain usability and security requirements, the AAS provides a basis for bilateral agreement on the security conditions that must be met for file transfer and reuse.


fandi bi

Fandi Bi

KI.FABRIK Research and Development (AI.Robot, Central.AI, AI.Portal, PaaS)