Extracting Functional Machine Knowledge from STEP Files for Digital Twins

IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–4

Abstract

The current challenges of industrial manufacturing forces producers to optimize and to digitize their facilities. The Digital Twin as a digital representation of both the product and the production is a key enabler to efficiency, flexibility, and sustainability. Unfortunately, the development of Digital Twins is sophisticated and hampered by manual tasks. This paper presents an approach to automatically create digital models of the objects which are to be represented, based on 3D CAD data. Therefore, the CAD data, which is stored as a STEP file, is analysed to extract relevant information for the following graph analysis, which is used to identify components, their dependencies and the resulting functional modules. The graph analysis results will be used in future work to implement a digital twin.

Authors 6

1. Birte Caesar

   Helmut Schmidt University

   Affiliation as printed

   Helmut-Schmidt-University,Institute of Automation Technology,Hamburg,Germany

   Institute of Automation Technology, Helmut-Schmidt-University, Hamburg, Germany

2. Nico Jansen Aachen Software Engineering Department of Computer Science 3

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Software Engineering Department of Computer Science 3,Aachen,Germany

   Software Engineering Department of Computer Science 3, RWTH Aachen University, Aachen, Germany

3. Malte Ramonat

   Helmut Schmidt University

   Affiliation as printed

   Helmut-Schmidt-University,Institute of Automation Technology,Hamburg,Germany

   Institute of Automation Technology, Helmut-Schmidt-University, Hamburg, Germany

4. Claas Steffen Gundlach

   Helmut Schmidt University

   Affiliation as printed

   Helmut-Schmidt-University,Institute of Automation Technology,Hamburg,Germany

   Institute of Automation Technology, Helmut-Schmidt-University, Hamburg, Germany

5. Alexander Fay

   Helmut Schmidt University

   Affiliation as printed

   Helmut-Schmidt-University,Institute of Automation Technology,Hamburg,Germany

   Institute of Automation Technology, Helmut-Schmidt-University, Hamburg, Germany

6. Bernhard Rumpe⋆ Aachen Software Engineering Department of Computer Science 3

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Software Engineering Department of Computer Science 3,Aachen,Germany

   Software Engineering Department of Computer Science 3, RWTH Aachen University, Aachen, Germany