rweisssieker-xp Power BI IoT Shopfloor Analytics
Use this skill for industrial operational telemetry and shopfloor reporting.
Data Sources
- MES events, production orders, operation confirmations.
- SCADA and PLC signals.
- Historians such as OSIsoft PI, AVEVA, Honeywell, AspenTech, Rockwell, Siemens.
- Quality systems, lab results, inspection data.
- Energy meters, compressed air, steam, utilities.
- Maintenance and downtime systems.
Analytics Patterns
- OEE, availability, performance, quality.
- Downtime classification and loss trees.
- Energy intensity per product, line, plant, shift.
- Batch genealogy and traceability.
- Real-time exceptions and alert history.
- Machine condition and predictive maintenance features.
Output Requirements
- Include time-series grain, aggregation window, event alignment, late data, timezone, machine hierarchy, and historian retention.
- Warn when Power BI latency is unsuitable for control-loop use.