Smart Industry by EGM
Production resources can be improved using IoT and data, particularly concerning process optimization , equipment maintenance and flow management.
OUR CHALLENGE
Support factories in the digitization of their production tool by connecting data sources and predictive algorithms.
EXAMPLES OF DEPLOYED USE CASES
Lifts and Trains
ISSUE
Monitor and improve on-board algorithms on equipment (train, lifts) and centralize the data collected on on-board equipment (e.g. lifts, trains)
SOLUTION
Collect data at the edge of the network (edge processing) and upload it to a centralized platform and generate advanced alerts (machine learning)
BENEFITS
Real time alerts if a malfunction is detected.
Validation of new algorithms for equipment use.
Continuous improvement of services for end users
Predictive maintenance of equipment
ISSUE
Improve the planning of maintenance operations
SOLUTION
Development of a digital twin of the equipment to be monitored. This twin is connected in real time to monitor the behaviour of the equipment and alert in case of unexpected behaviour
BENEFITS
maximum productivity
better management of equipment maintenance
