Experiment. 14.- Twin_in_Fog - Data Twin-based and Fog computing driven proactive control and maintenance in Laser-based manufacturing
There is a huge market potential in using advanced data analytics for proactive in-process control and proactive maintenance in laser-based manufacturing, due to the need for learning from data, since the processes are quite complex and vendors are selling machines as "black boxes".
In this experiment it is proposed a novel system for continuous learning from past data, the dynamic models of the machine behaviour, which is based on Fog Computing and requires HPC infrastructure. This experiment will be tested on a challenging 3D laser cutting use case.