Edge intelligence for condition monitoring and status visibility of assets in harsh industrial environments.

The metal industry needs to introduce new methods in order to reduce production stoppage caused by asset downtime. The AssetUp4.0 platform solution aims at early detection of pending critical malfunction of assets and provides a preventive framework that enables timely scheduling of maintenance actions.

AssetUp4.0 provides operational visibility of assets and permits monitoring of maintenance critical parameters. It has IIoT hardware components specifically adapted for the harsh industrial environment, with the inclusion of sensing elements for acceleration, vibration, gyroscope, sound, lubrication flow, power consumption, etc. The IIoT unit integrates enhanced processing capability in order to provide the required edge intelligence and data filtering and aggregation. The data communications function is specifically adapted to the industrial environment and throughput capacity requirements.

Lead Partner

LMS LogoLMS Logo

Laboratory for Manufacturing Systems and Automation, University of Patras (LMS)


All involved partners

  • Aluminium of Greece
  • BIBA
  • Emphasis DigiWorld SA
  • Laboratory for Manufacturing Systems and Automation
  • University of Patras