Project Overview
An industrial IoT dashboard designed for factory engineers. The platform connects to vibration and temperature sensors, analyzing historical trends to identify mechanical wear and estimate remaining useful life (RUL) before failures happen.
Key Features & Scope
Real-time sensor graphs rendering 100+ points per second via canvas rendering
Predictive health scores calculating machinery decay rates
Automated service ticket creation linked to enterprise maintenance tools
Secure device registry managing IoT tokens and device credentials
System Architecture
Node.js WebSocket server streams telemetry data from IoT hubs. Historical analytics are queries from InfluxDB time-series storage, feeding predictions via TensorFlow microservices.