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1. System Architecture

The server operates on a “Push-Stream” model to ensure low-latency data visualization.
  • Ingestion: The hardware (ESP32) sends a JSON payload to the /update endpoint via HTTP POST.
  • Broadcasting: The server emits a sensor_update event to all connected web clients via SocketIO.
  • Visualization: The browser receives the data and updates the charts and health indicators dynamically.

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2. Development Setup

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Backend Dependencies:

The backend is built on the Python ecosystem. These packages manage the web server, API routing, and real-time data broadcasting.
  • Flask: The core micro-framework used for web routing and serving the HTML interface.
  • Flask-SocketIO: Enables low-latency, bi-directional communication between the server and the dashboard via WebSockets.
  • eventlet or gevent: (Recommended) High-concurrency libraries often used as the underlying server for SocketIO.

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Installation:

You can install these dependencies using pip: 
pip install flask flask-socketio

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3. API Reference

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Data Update Endpoint

POST /update The primary data entry point for the IoT hardware. Request Body: 
{
  "ports": [
    {
      "port": 1,
      "voltage": 12.5,
      "current": 0.8
    },
    {
      "port": 2,
      "voltage": 12.4,
      "current": 0
    }
  ],
  "vibration": 5,
  "rpm": 1500
}
Download Server Python Script