BlueBox Predictive Maintenance
- Continuous 24/7 unit surveillance
- Automatic detection of anomalies
- Fault detection before breakdown occurs
- Maintenance recommendations based on real-time data
- Machine assisted troubleshooting
- Reduction of service cost and unit downtime
BlueBox Predictive Maintenance is a digital service designed to identify early deviations and prevent failures. This is achieved through a virtual, AI-generated unit that monitors anomaly scores and continuously compares them to the real unit's performance. The digital twin supports the prediction of potential future failures and can indicate a likely root cause, providing a clearer understanding of the unit's operation. The monitoring results are presented in a visual dashboard, which can also generate automatic alarm notifications.
The primary benefits of this service are related to time and resource efficiency. BlueBox Predictive Maintenance enables better planning of service and maintenance, while the detailed insights help building managers to be better prepared for site visits.
By identifying deviations early and addressing them proactively, the service helps avoid urgent or unexpected maintenance needs and minimises unit downtime, factors that can otherwise be both costly and time-consuming. Last but not least, early identification of deviations supports optimal unit performance over time and contributes to a prolonged operational lifetime.