Smart Factory Infrastructure
Challenges
- OT systems (PLCs, SCADA) cannot tolerate cloud round-trip latency
- Connecting legacy ICS equipment to modern cloud platforms
- Equipment data volumes — millions of sensor readings per hour
- Digital twin synchronisation in near real time
- Cybersecurity for OT/IT convergence (IEC 62443)
- Edge computing for closed factory networks
CloudFormation Solves
- AWS Outposts / Azure Stack Edge for on-factory cloud compute
- AWS IoT Greengrass Terraform modules for edge-to-cloud
- Kinesis → Timestream for time-series sensor data at scale
- SageMaker edge for local ML inference (predictive maintenance)
- AWS IoT TwinMaker or Azure Digital Twins for factory digital twin
- Isolated OT network with Direct Connect to cloud DMZ
Factory Cloud Architecture
Edge Gateway Layer
AWS Greengrass or Azure IoT Edge on factory servers. OPC-UA collectors normalise PLC data. Local ML inference runs predictive maintenance models with <10ms latency.
IoT Data Pipeline
IoT Core → Kinesis Data Streams → Lambda processing → Timestream time-series DB → QuickSight OEE dashboards. Alarms trigger maintenance tickets automatically.
Digital Twin Platform
AWS IoT TwinMaker syncs physical asset state to digital models in <1 second. Unity3D or Unreal visualisation connects via WebSocket API Gateway. Operators see live factory in 3D.
Predictive Maintenance ML
Sensor time-series → SageMaker Feature Store → training pipeline → model endpoint. Anomaly detected → SNS alert → ServiceNow ticket. 14-day failure prediction window.
Business Outcomes
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