Industrial IoT Platform

Problem Statement

A manufacturing facility required real-time monitoring of production equipment and predictive maintenance capabilities to reduce unplanned downtime and improve overall equipment effectiveness (OEE).

Our Approach

We developed an edge computing platform that collects sensor data in real-time, processes it locally using machine learning models, and provides actionable insights. The platform integrates with existing SCADA systems and cloud analytics.

Outcome & Impact

The implementation resulted in a 30% reduction in unplanned downtime, 25% improvement in OEE, and enabled predictive maintenance that prevented several critical equipment failures. The ROI was achieved within 8 months of deployment.

Technologies Used