Industrial Internet of Things (IoT) enables extensive data collection from different machines and sensors. In a large production environment this information represents Big Data that can be used for to model different key performance indicators. In discrete manufacturing, monitoring processing time at a component, machine, and system level and continuous signals (vibration, pressure, temperature, energy) will support early detection of a. Implementation anomalies. Manufacturing system performance can potentially be improved by using High Performance Computing (HPC) to process plant floor data and simulate different control strategies.
Researcher: Miguel Saez