Veranstaltung  /  06. September 2022  -  09. September 2022

ETFA 2022

27. Internationale Konferenz über neue Technologien und Fabrikautomatisierung

Die ETFA 2022 ist die 27. IEEE Industrial Electronics Society (IES), die sich auf die neuesten Entwicklungen und neuen Technologien im Bereich der Industrie- und Fabrikautomation konzentriert. Ziel der Konferenz ist die Verbreitung neuartiger Ideen und aufkommender Trends, Forschungsergebnisse und praktischer Errungenschaften. 

Die ETFA 2022 ist eine einzigartige Gelegenheit, sich zu vernetzen, Partnerschaften aufzubauen und Ideen auszutauschen, sowohl mit Branchenführern als auch mit einer Vielzahl erfahrener Forscher, Entwickler und Praktiker aus verschiedenen Branchen, Forschungsinstituten und Hochschulen.

Nehmen Sie an den spannenden technischen und sozialen Aktivitäten der ETFA 2022 teil. Das Organisationskomitee der ETFA 2022 freut sich darauf, Sie zu dieser Veranstaltung begrüßen zu dürfen.


Das Fraunhofer IESE organisiert folgende Sessions und Workshops:

SS07 - Skill Based Systems Engineering (SEnSEI)
Christian Diedrich, Otto von Guericke University; Roman Froschauer, University of Applied Sciences Upper Austria; Aljosha Köcher, Helmut Schmidt University; Kristof Meixner, CDL-SQI, TU Wien; Siwara Schmitt, Fraunhofer IESE

The selection of proper automation components for a given task is a complex, challenging, and time-consuming task. As customer requirements tend to change more frequently, it becomes necessary to pursue flexible and variable automation approaches. Recent research has introduced approaches based on capabilities and skills using holistic data models, like ontologies, DSLs, or variability models. While capabilities are seen as abstract descriptions of the (manufacturing) processes that systems perform, skills are often described as their executable counterparts (i.e.,modelinginvocationinterfaceslikeOPCUA). To automatically find solutions for customer requirements, required tasks and domain-specific constraints have to be matched with capabilities provided by automation components. This matching can be done with various techniques like AI planning or knowledge graph exploration and reasoning. Skill-based process plans can then be orchestrated by combining the skills related to the previous step's capabilities. Finally, simulation andoptimization of such process plans can be performed before their deployment.


SS13 - Safety for Heterogeneous Agile Production Systems 
Rasmus Adler, Fraunhofer IESE; Dieter Etz, TU Wien; Andrey Morozov, University of Stuttgert; Florian Perzer und Leon Urbas, TU Dresden

In various branches of industry, the need for flexible production options is becoming increasingly apparent. This trend is met with higher automation, digitalization, and modularization strategies of production systems to reduce time to market and create easily adaptable systems. However, acceleration and flexibility must not be at the expense of plant safety.

Flexible systems are accompanied by new requirements for (1) risk analysis and evaluation, (2) implementation of safety systems, and (3) regulatory approval of plant safety. The approaches from conventional plants are reaching their limits when transitioning towards lot size one and approving them individually becomes impossible for every single plant setup. The possible compositions of systems are hardly foreseeable, and the combinations of system configurations and parameter settings explode. Systems such as autonomous mobile robots (AMRs), collaborative robots (cobots), robotic manipulators, or drones can implement various tasks and dynamically form a system of systems for achieving a common mission. Moreover, the trend to Software-Defined Manufacturing (SDM), where a software update can drastically change the entire production process, requires a completely new approach to risk analysis that should be performed in automated way before each software update. Assuring the safety of such system of systems is challenging due to their dynamic nature and their unstable system boundaries.


WS03 - First Workshop on Implementing Asset Administration Shells (ImplAAS)
Thomas Kuhn, Fraunhofer IESE; Sten Grüner, ABB AG; Pablo Oliveira Antonino, Fraunhofer IESE; Daniel Porta, DFKI; Frank Schnicke, Fraunhofer IESE

ImplAAS is a workshop is to discuss research challenges and experiences regarding the digital transformation of manufacturing environments with Asset Administration Shells and digital twins. Further relevant topics cover the use of AAS for the creation of digital twins, and to virtualize (production) systems. All system domains are welcome. We solicit papers around the use, practical implementations, and experiences with Asset Administration Shells and digital twins that cover a wide range of research topics with a focus on the digital transformation of manufacturing and the digitization of value chains.