Benefits at a glance
- Operational downtimes averted or significantly reduced
- Minimized operational risk through predictive analysis and better visibility into system health
- Enabling of predictive and optimized maintenance, as well as material and resource planning
- Extended system service life through condition monitoring, data-based analysis and system component optimization
- Increased occupational safety, as maintenance work with special safety requirements, such as working at heights, is reduced
- Monitoring of many components of different systems – also from third-party suppliers
Smart Maintenance – digitalization makes it possible
We are continually enhancing our predictive maintenance solutions. Our Smart Maintenance portfolio monitors the components of a wide range of systems.
The basis for predictive maintenance is condition monitoring, which uses artificial intelligence to identify patterns in historical sensor data. The results are used to predict the best time to perform necessary maintenance and to predict the service life of a component. You benefit from optimized maintenance scheduling and execution with just-in-time measures. You can realize higher operational availability, greater efficiency and productivity, and boost competitiveness.
Our Smart Maintenance portfolio improves and optimizes your service processes
Singulator 360
Singulator 360 provides transparency on the condition of drive units. During operation AI-based algorithms detect anomalies that indicate which belt units are not working as they should or may be about to fail. Predictive analytics with Singulator 360 let operators plan maintenance according to the actual system condition.
Motor 360
Observations of motor data over a longer period provide a relaiable indication of potential maintenance issues. This allows to take necessary measures in good time. Furthermore, Motor 360 assists with the prioritization of maintenance activities, putting critical drives at the top of the list for service personnel.
Diverter 360
The VarioRoute uses multiple intelligently controlled roller units to reliably divert items to right direction e.g., to the sorting loop. Diverter 360 provides transparency on the condition of drive units. During operation AI-based algorithms detect anomalies that indicate which roller units are not working as they should or may be about to fail.
