**Purpose**
1.2. Enable data-driven decision-making with automated aggregation and visualization, alert generation for anomalies, integration of IoT sensor outputs, MES, ERP, and reporting tools, streamlined data flows, and automated escalations based on detected thresholds.
1.3. Facilitate root cause analysis, OEE (Overall Equipment Effectiveness) calculations, and maintain digital audit trails to ensure aerospace manufacturing quality and traceability.
**Trigger Conditions**
2.2. On IoT device status change, error, or threshold breach (temperature, vibration, output rate, downtime).
2.3. On new entry in MES/ERP machine logs.
2.4. On SCADA signal update or alert.
2.5. On receipt of system email, webhook, or message from edge device.
**Platform Variants**
• API: subscribe rule action for telemetry ingestion
• Sample: Rule triggers Lambda to process and store machine data.
3.2. Azure IoT Hub
• Operation: "Routes" to Azure Stream Analytics
• Sample: Data stream analyzes machine runtime and outputs formatted dataset.
3.3. Siemens MindSphere
• API: IoT Time Series Data Service
• Sample: Fetch KPIs from connected manufacturing assets.
3.4. Kepware KEPServerEX
• Feature: OPC-UA server for machine data aggregation
• Sample: OPC-UA event or value changes push to collector.
3.5. Ignition by Inductive Automation
• Setting: Tag Change Scripts
• Sample: Trigger pipeline on process variable change.
3.6. OSIsoft PI System (AVEVA PI)
• API: PI Web API GET/POST for time-series collection
• Sample: Every update on selected PI tag runs downstream process.
3.7. SAP Manufacturing Integration and Intelligence (MII)
• Feature: MII Logic Transaction
• Sample: Machine status input initiates workflow module.
3.8. Microsoft Power Automate
• Connector: "When a HTTP request is received" (custom webhook from MES/SCADA).
3.9. MQTT Broker (Mosquitto, HiveMQ, EMQX)
• Feature: Topic subscription
• Sample: "machine/performance/+" topics trigger on datapoint inbound.
3.10. Google Cloud IoT Core (legacy)
• Setting: Device telemetry upload to Pub/Sub
• Sample: Pub/Sub subscription triggers Dataflow runner.
3.11. PTC ThingWorx
• Service: Property Change Event
• Sample: On high-wear alerts, call external REST integration.
3.12. IBM Maximo
• Operation: REST API "GET asset performance KPIs"
• Sample: Every new asset incident fires notification.
3.13. Rockwell FactoryTalk
• Setting: Alarm and Event Server
• Sample: Alarms create log entries fetchable via SDK.
3.14. Honeywell Process Historian Database (PHD)
• Feature: Event Monitor
• Sample: PHD triggers data extraction script on event match.
3.15. Wonderware/InTouch by AVEVA
• Operation: Historian Data Export
• Sample: Batch-export triggers when schedule met.
3.16. InfluxDB
• API: "POST /write" for raw metrics
• Sample: Sensors push updates; webhook notifies workflow.
3.17. Grafana
• Feature: Webhook Alerting
• Sample: Visualization panel triggers webhook on threshold breach.
3.18. Splunk
• API: Data Ingestion via HTTP Event Collector
• Sample: Receive and index machine logs for analytics.
3.19. OPC Router
• Module: "SQL Write" action
• Sample: Tag update writes machine data to central SQL DB.
3.20. REST APIs to custom MES platforms
• Operation: Periodic GET for `/machine/status`
• Sample: Retrieve and forward stats to analytics or notification flow.
**Benefits**
4.2. Accelerate issue detection and predictive maintenance via automated analytics.
4.3. Reduce downtime and scrap by rapidly identifying process anomalies.
4.4. Improve compliance with automated audit trail creation and records retention.
4.5. Enable quicker decision-making through real-time dashboards and automated report distribution.
4.6. Integrate cross-platform machine data and workflows, optimizing operational efficiency.