IoT Pipeline for Smart Manufacturing
We built a predictive IoT pipeline that captures edge-level sensor data, transforms it through a real-time analytics layer, and provides actionable insights for manufacturing uptime and efficiency.
Problem Statements
- Industrial plants lacked unified monitoring for equipment health.
- Unplanned downtimes caused significant production losses.
- Manual diagnostics led to delayed issue resolution.
- Fragmented machine data across multiple systems.
- No predictive capabilities for equipment failures.
Problem Solution
- Implemented MQTT-to-Kafka pipeline for real-time data streaming.
- Deployed Azure Stream Analytics for continuous data processing.
- Developed custom ML anomaly detection models.
- Created unified dashboard for cross-factory monitoring.
Client Benefits
- Reduced unplanned downtime by 40% through predictive maintenance.
- Seamless data integration across multiple factory lines.
- Real-time alerts enable faster incident response.
- Cost savings through optimized maintenance schedules.
- Improved overall equipment effectiveness (OEE).