IoT Component Element Renderer

D2Twin

Framework for developing manufacturing digital twins from past (product, process) data. The main advantage is the data-driven model which can be used in real time for anomaly detection and in design time for the simulation

AI4 Manufacturing Process Control | Digital twins for process control Production | Digital twins for production Maintenance | Digital twins for maintenance Maintenance | Asset Management Maintenance | Intelligent maintenance/ Predictive maintenance Types Artificial Intelligence | Orchestrator Software | Framework Trend Artificial Intelligence Technical Categories (JRC) Learning | Machine learning Services | AI services Programming Language Python Developed in Project Developed in AI REGIO TRL 9