Service-based tool lifecycle analysis based on AAS

Procedia CIRP, vol. 130, pp. 1562–1568

Abstract

Precise monitoring of production equipment and products is of fundamental importance for efficient and sustainable production. The focus here is not only on comprehensive data acquisition, but also on the interpretation and generation of added value in the form of knowledge and information. Continuous monitoring of machine or tool statuses, for example, enables predictions to be made for needs-based maintenance in order to minimize errors and production downtime. Both the data acquisition and the service applications for such use cases are already available today. One challenge, however, is the integration and consolidation of relevant information from different sources for individual assets such as products, machine tools or tools. The Asset Administration Shell (AAS) offers itself here as an interoperable data interface and semantically unique source of information. By integrating an AAS into service networks, various applications can be supplied with relevant input data. Important data is stored directly in the AAS and is generally accessible and interpretable thanks to the defined exchange format. This paper presents the development of an AAS including a software framework with various different service applications for monitoring tools in machining production. The AAS acts as a central interface between databases, wear analysis tool and visualization program (dashboard).

Authors 6

1. Steffen Wurm corresponding Aachen Laboratory for Machine Tools and Productioin Engineering

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Productioin Engineering, Steinbachstr. 19, 52074 Aachen, Germany

2. Vincent Lohrmann Aachen Laboratory for Machine Tools and Productioin Engineering

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Productioin Engineering, Steinbachstr. 19, 52074 Aachen, Germany

3. Philipp Blanke Aachen Laboratory for Machine Tools and Productioin Engineering

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Productioin Engineering, Steinbachstr. 19, 52074 Aachen, Germany

4. Christian Fimmers Aachen Laboratory for Machine Tools and Productioin Engineering

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Productioin Engineering, Steinbachstr. 19, 52074 Aachen, Germany

5. Oliver Petrović Aachen Laboratory for Machine Tools and Productioin Engineering

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Productioin Engineering, Steinbachstr. 19, 52074 Aachen, Germany

6. Werner Herfs Aachen Laboratory for Machine Tools and Productioin Engineering

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Productioin Engineering, Steinbachstr. 19, 52074 Aachen, Germany