AI & AutomationGlobal • Manufacturing
Industry 4.0 IoT Telematics & Predictive Maintenance
Developed for an industrial manufacturing facility to connect machine IoT sensors, track Overall Equipment Effectiveness (OEE), and predict maintenance.
-40%
Unplanned Downtime
+22%
Total Plant Output
Real-Time
OEE Visibility
Client Context & Overview
About the Client
An industrial manufacturing plant producing precision components with high-speed automated production lines.
✕Technical & Operational Bottlenecks
- •Unplanned machine breakdowns causing expensive line halts and missed production deadlines.
- •Paper-based logbooks failing to give plant managers real-time visibility into OEE metrics.
- •Difficulty coordinating raw material inventory with active machine schedules.
ValoSync Global Engineered Solution
- Custom IoT telematics control room connecting sensors via MQTT and Python data pipelines.
- Predictive AI maintenance alert system flagging anomalous vibration and heat readings.
- Automated production schedule software syncing raw materials with order dispatch.
System Architecture & Capabilities
Key Features Engineered
01
Real-Time OEE Telematics
Live dashboards measuring machine Availability, Performance, and Quality metrics.
02
Predictive Maintenance Alerts
Machine learning models detecting component wear before failures occur.
03
Automated Production Scheduling
Optimizing job sequences across active machines to minimize changeover downtime.
04
Shop-Floor Mobile App
Tablet interface for machine operators to record quality checks and log downtime reasons.
Key Deliverables
- Industrial Control Room Dashboard
- Predictive AI Maintenance Pipeline
- IoT Sensor Integration Bus
- Shop-Floor Mobile Web App
Technology Stack Used
PythonReactPostgreSQLMQTTDockerTailwind CSS