A distributed system for collecting, processing and visualizing sensor data built with Go and JavaScript.
This project implements a distributed sensor monitoring system with the following components:
- Simulated sensors that generate random readings within configured ranges
- Message queue (RabbitMQ) for reliable data transport between components
- Data persistence layer using PostgreSQL
- Web interface for real-time visualization of sensor readings
The system consists of several key components:
- Sensors: Simulated sensors that generate readings and publish to message queue
- Coordinator: Handles discovery and coordination between components
- Data Manager: Persists sensor readings to PostgreSQL database
- Web UI: Real-time visualization dashboard built with WebSocket and CanvasJS charts
Data flows through the system as follows:
- Sensors publish readings to RabbitMQ exchanges
- Coordinator manages sensor discovery and data routing
- Data Manager subscribes to readings and persists to database
- Web UI receives readings via WebSocket and updates charts in real-time
- Go 1.x
- PostgreSQL
- RabbitMQ
- Node.js (for web UI dependencies)
- Clone the repository
- Set up PostgreSQL database and create required tables
- Install RabbitMQ and ensure it's running
- Install Node.js dependencies for web UI:
cd web
npm installStart each component in separate terminals:
# Start coordinator
./start_coordinator.bat
# Start simulated sensors
./start_sensors.bat
# Start data manager
cd datamanager/exec
go run main.go
# Start web interface
cd web
go run main.goThe web interface will be available at http://localhost:3000
- Sensor parameters can be configured in start_sensors.bat
- Database connection settings in datamanager/db.go and web/model/db.go
- RabbitMQ connection settings in qutils/queueutils.go
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This project was created for learning and demonstration purposes of building distributed systems with Go.