Industrial IoT Data Pipeline & Predictive Analytics
Scalable IoT backbone integrating thousands of sensor feeds for predictive maintenance, reducing machine downtime through real-time telemetry processing.
The Challenge
Manufacturing plants struggled with unplanned downtime, reactive maintenance, and lack of real-time visibility into equipment health. Traditional maintenance schedules were inefficient, leading to either premature servicing or catastrophic failures. The client needed an IoT platform that could predict failures and optimize maintenance schedules.
Our Solution
We built an industrial IoT platform with predictive analytics capabilities
Sensor Integration
Implemented MQTT-based sensor network supporting thousands of devices with real-time telemetry collection and edge processing capabilities.
Data Pipeline
Built scalable Kafka-based pipeline processing millions of sensor events daily with Delta Lake for reliable data storage.
Predictive Analytics
Developed ML models that analyze equipment patterns to predict failures with 95% accuracy and recommend optimal maintenance schedules.
Real-Time Monitoring
Created dashboard system providing live equipment health metrics, anomaly detection, and automated alerting for maintenance teams.
Results & Impact
Technology Stack
Industrial IoT and analytics technologies