Research project on digital twins on IVA's 100 list
“The Digital Twin project for decision support and resource optimization in service-based business models” has been selected for the 2020 list from the Royal Swedish Academy of Sciences, IVA, on research linked to sustainable competitiveness.
Text: Mikael Hansson
This is the third project with connection to Umeå University that has been selected to the list. The other two projects are research on green energy from Nordic algae and sustainable investment decisions, see previous press release.
A digital twin is a digital replica of a physical entity that at the same time integrates Internet of Things, AI and software in digital simulation models.
The DT-SAPS project has the ambitious goal of advancing the industrial and scientific state of the art by developing an innovative, flexible and versatile digital twin model (software platform) for improved predictive maintenance decision support to support service business models.
The digital twin will be based on three main focus areas, namely (i) availability and maintenance simulation modelling for production processes and equipment, and (ii) remote capture and communication of production line monitoring data, and (iii) logical modelling of representation and presentation of data from monitoring of production processes.
The project novelty lies in the creation of a digital twin (a dynamic software model of a system that is continuously updated with real-time system operating data and feeds real-time optimizations back to the system) that provides availability prediction and maintenance optimization for a complete multi-asset production system.
The research challenge is to enhance and combine the data collection, logical representation and analytics (smart algorithms) technologies for updating the digital twin in real-time, along with the simulation and statistical modelling technologies that empower it with predictive insight and optimization functions.
The industrial application is Epiroc drill rigs and other mobile units such as charge robots used in underground mining, with results and developments that are applicable in both manufacturing and process industries.
At Umeå University, the project is led by Professor Patrik Eklund and Project Coordinator Mats Johansson. Project leader at Örebro University is Professor Magnus Löfstrand.
The DT-SAPS project is a collaboration between Örebro University, Umeå University, LKAB, Epiroc Rock Drills AB, Alkit Communications AB and MinProc AB.