Advanced Monitoring with
PI Data Historian.
Unlock new possibilities by connecting
production data to a PI Historian System.
When connecting the complex Bausch+Ströbel filling lines to higher-level systems, a lot of energy needs to be devoted to the identification and connection of the relevant sets of data, the creation of the logical structures and the addition of contextual information. Furthermore, an intelligent evaluation and analysis of the runtime data requires a significant amount of time and effort.
With many years of experience, OMNIA PI supports our customers with GMP and process monitoring, automatic troubleshooting support and advanced efficiency as well as maintenance assessments.
Condition
Monitoring.
Continuous monitoring of condition data makes it possible to track the normal operational fingerprint of machines. This information is then utilized to automatically detect deviations during ongoing production, triggering automatic notifications to the relevant contact partners. Integrating advanced condition monitoring sensor technology enables the collection of additional data and the implementation of more intelligent algorithms, all without the need for modifications to the validated machine system.
Benefits
- Smoother batch processing.
- Automated notification of identified deviations.
Process Monitoring.
Process data is crucial for successful production and subsequent batch release, including key factors such as temperatures in the sterilization zone and weight values measured at the filling station. Continuous monitoring of process-critical data allows for early identification of deviations from target values. By adjusting production parameters within the permitted range, rejects can be effectively prevented.
Benefits
- Assurance of batch release.
- Avoidance of rejects.
- Automated notification of identified devations.
OEE Monitoring.
Being based on the standardized OMAC model, OMNIA enables overall equipment effectiveness (OEE) to be monitored at any time. This not only facilitates the tracking of long-term OEE trends but also enables the comparison of individual batches. Analyzing alarms responsible for machine downtime further enables problem localization and enhances OEE.
Benefits
- Anytime monitoring of equipment effectiveness.
- Increased effectiveness in analyzing breakdown reasons.
- Overview of long-term trends and batch comparison.
