Overview
Built an industrial IoT platform visualizing real-time sensor data from manufacturing facilities. Implemented edge computing logic, anomaly detection algorithms, and 3D facility visualization with digital twin concept.
Key Features
Real-time 3D facility visualization (Three.js)
Multi-sensor support (temperature, pressure, vibration, humidity)
Anomaly detection with ML models
Predictive maintenance alerts
MQTT protocol for low-bandwidth communication
Architecture
C++ edge agents with MQTT pub/sub, Python anomaly detection models, InfluxDB time-series storage, Node.js gateway for protocol translation, Three.js 3D rendering of facility state.
Technology Stack
C++ReactThree.jsPythonMQTTInfluxDBNode.js
Detailed technical blog post coming soon. This project showcases production-grade architecture and real-world problem solving.