
Brand-New Process, Smartly Understood
The team needed visibility over a new pasteurization unit.
Key goals:
- View critical KPIs in real time
- Track anomalies and maintenance events
- Identify and prevent recurring issues
- Quantify production effectively
The Approach
- Calculated KPIs: calculated pasteurized volume using tank derivatives and integral aggregations, capturing real process behavior.
- Asset Status & Trends: tracked status and performance trends of main assets to detect deviations early.
- Event Contextualization: used the enhanced data layer to link events with TSD, enabling direct visualization of recent shutdowns—such as an unexpected stop when starting Line 2.
- Pattern Recognition: compared similar historical events with the similarity search function to identify the root cause of shutdowns—in this case, line pressure was below the required level before startup.
- Integrated Monitors: created pressure monitors based on the root cause and integrated them into the dashboard for proactive alerts.
Insight
With these capabilities, you get a connected, contextualized view of process events, enabling faster root-cause analysis and preventing future shutdowns.
Overlapped shutdown events recognized with the similarity search
Results
Takeaway
With real-time monitoring and smart event analysis, the team optimized a new process, reduced unplanned stops, and aligned cross-functional expertise.
Want to unlock insight from your process data? Let’s talk.
Brand-New Process, Smartly Understood
The team needed visibility over a new pasteurization unit.
Key goals:
- View critical KPIs in real time
- Track anomalies and maintenance events
- Identify and prevent recurring issues
- Quantify production effectively
The Approach
- Calculated KPIs: calculated pasteurized volume using tank derivatives and integral aggregations, capturing real process behavior.
- Asset Status & Trends: tracked status and performance trends of main assets to detect deviations early.
- Event Contextualization: used the enhanced data layer to link events with TSD, enabling direct visualization of recent shutdowns—such as an unexpected stop when starting Line 2.
- Pattern Recognition: compared similar historical events with the similarity search function to identify the root cause of shutdowns—in this case, line pressure was below the required level before startup.
- Integrated Monitors: created pressure monitors based on the root cause and integrated them into the dashboard for proactive alerts.
Insight
With these capabilities, you get a connected, contextualized view of process events, enabling faster root-cause analysis and preventing future shutdowns.
Overlapped shutdown events recognized with the similarity search
Results
Takeaway
With real-time monitoring and smart event analysis, the team optimized a new process, reduced unplanned stops, and aligned cross-functional expertise.
Want to unlock insight from your process data? Let’s talk.
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