IoT Sensor Data Simulator & Dashboard

This project provides a solution for simulating, collecting, and visualizing IoT sensor data from both virtual and physical CAN networks. The system connects to a CAN bus (virtual or physical), processes sensor data, and visualizes it on a real-time dashboard via MQTT and Node-RED.

Features

• Virtual CAN Simulation: Simulate vehicle data without physical hardware
• Physical CAN Integration: Connect to real CAN networks via USB adapters
• Real-time Dashboard: Visualize sensor data through Node-RED
• Cloud Integration: Connect to MQTT brokers for cloud data streaming
• Database Simulation: Simulate historical sensor data for testing
• Modular Design: Easily extendable for different sensor types

Prerequisites

• Python 3.8+
• Node-RED (for dashboard visualization)
• MQTT broker (local or cloud-based)
• PCAN-USB adapter (optional for physical CAN connection)

Configure cloud connection

{
  "broker": "your.mqtt.broker.com",
  "port": "your_port",
  "username": "your_username",
  "password": "your_password"
}

CAN connection settings

Usage: python main.py <can_bus_type> ('v' for virtual, 'p' for physical)

Virtual connection:

can_bus = connect_can(
        bus_type='virtual',
        channel='PCAN_VIRTUAL0',
        bitrate=500000
    )

Physical connection:

can_bus = connect_can(
        bus_type='pcan',
        channel='PCAN_USBBUS1',
        bitrate=500000
    )