This project focuses on building a scalable and secure Industrial Internet of Things (IIoT) framework. It aims to bridge the gap between industrial hardware (sensors, PLCs, edge devices) and modern cloud computing/data visualization platforms.
- Real-time Data Acquisition: Fast data polling from industrial sensors.
- Protocol Support: Integration with MQTT, Modbus TCP/RTU, and OPC-UA.
- Edge Computing: Processing data locally before sending it to the cloud.
- Dashboard Visualization: Real-time monitoring of industrial processes.
- Secure Communication: TLS/SSL encryption for all data transmissions.
/hardware: Schematic files, firmware (C++/Arduino/MicroPython), and wiring diagrams./edge-gateway: Scripts for data processing (Python/Node-RED)./dashboard: Front-end code for monitoring (React/Grafana configs)./docs: Technical documentation and API references.
- Languages: Python, C++, JavaScript.
- Protocols: MQTT, HTTP, Modbus.
- Hardware: ESP32, Raspberry Pi, Industrial PLCs.
- Tools: Docker, InfluxDB, Grafana.
- Clone the repository:
git clone https://github.com