PREDICTIVE MAINTENANCE REPORTING AND DIAGNOSTICS
Anticipate failure, detect risks of breakage and reorganise maintenance activity in real-time to ensure the smooth operation of your system
Reduced maintenance Costs
Enhanced flexibility through anticipating events
Anticipate Failure through prior learnings
Adaptable to suit different needs and equipment
‘Plug and Play’ System Adaptive Maintenance Management
BAGXPERT is a self-learning, adaptative solution which makes it possible to anticipate failure, detect risks of breakdowns, and reorganise maintenance activity in real-time to safeguard ongoing operation.
Equipment-based data collection through the use of sensors recording a multitude of measurements such as temperature and vibration.
Alstef Group deploys the gateway data transfer through a private network radio – LORAWAN (low consumption).
Using 4G, the gateway transmits the data to the artificial intelligence platform. The platform will define the operating mode of the equipment and the presence and cause of the failure based on the data signatures and their correlation.
The real-time display of this information is done via a digital platform and can be integrated into an existing CMMS, or any other maintenance management system to trigger an application, e-mail, or other alerts that can be used to trigger an intervention request.
Smart sensors – wireless transmission
Gateway – aggregation, processing
Artificial intelligence cloud – data correlation
Reports and trends