AiVIBNAssist
An AI supported assistance system is to support the skills of production engineering staff and make the commissioning of production plants more sustainable.
What it is about
Commissioning a machine binds time, travel and energy. Virtual commissioning couples real controllers with digital twins and finds faults earlier; the project site of Karlsruhe University of Education names up to 70 percent of the faults that surface before physical commissioning when this is combined with capability based control. From that the project develops a learning assistance system that gives feedback during work and carries vocational education for sustainable development into training.
Our contribution
We bring in the view from plant projects and from virtual commissioning. The assistance system is to support staff in programming control software, point to energy and resource efficient programming, detect optimisation potential in plants and processes and help with modelling for virtual commissioning. A qualified person checks every result before it is used.
What comes out of it
What proves workable moves into our tools and into project work. We report on the progress in the articles.
Runtimesince February 2026, planned for three years
MinistryFederal Ministry of Education, Family Affairs, Senior Citizens, Women and Youth, together with the European Union through the European Social Fund Plus
ProgrammeNachhaltig im Beruf, zukunftsorientiert ausbilden
Project management agency-
Funding reference-
Consortium
Four partners take part in the consortium, and the consortium lead lies with Karlsruhe University of Education. Four practice partners and three strategy partners are also involved.
- Consortium lead: Karlsruhe University of Education, Institute of Physics and Technical Education
- Consortium partners: DBR77, REX Automatisierungstechnik, IQstruct Engineering