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- No real-time view of machine performance (fill levels, pressure, temperature, flow rates)
- Legacy PLCs and SCADA systems had no unified data streaming mechanism
- Delayed reporting impacted decision-making and root-cause analysis
- Required millisecond-level data ingestion for high-speed cold drink lines
- Need to integrate with existingSiemens xHQ dashboards
- On-prem data silos needed to be brought to cloud securely
PROLIM implemented a real-time IoT streaming and analytics solution on Microsoft Azure, integrated seamlessly with Siemens xHQ:
- Azure IoT Hubto securely connect bottling, packaging, and quality control machines
- Azure Stream Analyticsto process real-time telemetry (temperature, carbonation, levels, flow, speed)
- Azure Function Appsfor event-driven logic, threshold alerts, and data routing
- Azure Database for PostgreSQLto store processed KPIs, production batches, shift logs, and trend data
- Azure Data Lakefor long-term storage and advanced analysis
- REST/OPC UA connectorsto send transformed data to Siemens xHQ real-time dashboards
- Power BIfor plant managers to view KPI summaries, OEE trends, and downtime patterns
- Azure AD + Key Vaultensuring secure access, token management, and compliance
- Real-time line performance monitoring (filling speed, mixing accuracy, carbonation control)
- Early detection of anomalies such as temperature deviations or flow inconsistencies
- Faster decision-making with live dashboards in Siemens xHQ
- Unified data hub across PLCs, SCADA, MES, and Lab systems
- Improved quality compliance and reduced wastage
- Scalable architecture to onboard additional production lines or plants
- Instant visibility (sub-second latency)of production KPIs across all lines
- 30% reductionin quality deviations by detecting anomalies early
- 20% improvementin bottling and packaging line efficiency
- 50% fasterescalation during breakdowns due to real-time alerts
- Seamless integration withSiemens xHQ, enabling a complete operational view
- Foundation built for predictive maintenance, energy analytics, and digital twin initiatives