ITEA3, Smart Prognosis of Energy with Allocation of Resources, SPEAR
| Reference number | |
| Coordinator | CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG - Institutionen för signaler och system |
| Funding from Vinnova | SEK 5 990 000 |
| Project duration | October 2017 - September 2020 |
| Status | Completed |
| Venture | Eureka cluster co-funding |
Purpose and goal
The overall aim of SPEAR has been to improve the virtual preparation and commissioning with the help of digital twins that include detailed models of logic, dynamics and energy use. A new architecture and new tools for virtual preparation have been developed and a new energy optimization algorithm has been evaluated in Volvo Car´s production where energy use could be reduced by 12% and where a robot could save up to 33%.
Expected results and effects
An important result is the architecture for virtual preparation that has been developed, where a PLC and robot program with the same code used in production can be verified. AFRY has launched this as a service: https://afry.com/en/service/real-virtual-commissioning. In Algoryx simulation software AGX Dynamics (https://www.algoryx.se/agx-dynamics/) there is now the possibility to extract energies from physical simulations. Chalmers has also developed and verified energy optimization of robot stations.
Planned approach and implementation
To achieve the project´s goals, the Swedish consortium has developed a number of demonstrators together with the other countries in the project, to learn about the challenges and to develop methods and tools. Several stations in Volvo Car´s body factory have been used in the project and a complete digital twin has been developed together with new tools and algorithms.