The EdgeTwins HPC project aimed to develop an open-source software tool for creating digital twins that can be deployed directly on the physical assets they represent, enabling real-time applications in constrained computing environments. This technology supports the advancement of Industry 4.0 by facilitating the use of digital twins in various fields, including autonomous vehicles and small devices. By providing accurate digital replicas of physical devices, the project enhances predictive maintenance and performance optimization, essential for the mass adoption of digital twin technology in manufacturing and other industrial sectors.
Bringing Digital Twins to the Edge for Mass Industry 4.0 Applications
Expertise areas
Application areas: Climate and environment, Energy infrastructure, Smart city, Telecommunications
Topics: Artificial intelligence, Cloud computing, Deep learning, Digital twins, Disruptive technologies, Edge computing, High-performance computing, IoT, Machine learning, Neural networks, Open Source, Parallel computing, Simulation