Smart Industry by EGM

Production resources can be improved using IoT and data, particularly concerning process optimization , equipment maintenance and flow management.

Industrie

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

OUR R&D PROJECTS