iot data monitoring dashboard.md - ToufickShaikh/Picosack GitHub Wiki

Creating an IoT Data Monitoring Dashboard with Picosack

Picosack, the lightweight web server for ESP8266-based IoT devices, enables you to build powerful and interactive data monitoring dashboards directly on your devices. In this guide, we'll walk you through the process of creating an IoT data monitoring dashboard using Picosack's capabilities.

1. Include Picosack Library

Before you begin, make sure you have included the Picosack library in your Arduino sketch. If you haven't added it yet, you can follow the installation steps mentioned in the installation guide.

2. Displaying Real-time Data

To create an IoT data monitoring dashboard using Picosack, follow these steps:

  1. Open the Arduino IDE on your computer.

  2. Create a new sketch or open an existing one.

  3. Include the necessary headers at the beginning of your sketch:

    #include <Picosack.h>
  4. Set up your WiFi credentials:

    const char *ssid = "your-ssid";
    const char *password = "your-password";
  5. Set up the Picosack web server and define a route to serve your dashboard:

    PicosackServer server;
    
    void setup() {
        // Initialize serial communication and connect to WiFi
        Serial.begin(115200);
        WiFi.begin(ssid, password);
        while (WiFi.status() != WL_CONNECTED) {
            delay(1000);
            Serial.println("Connecting to WiFi...");
        }
        Serial.println("Connected to WiFi");
    
        // Serve the IoT data monitoring dashboard
        server.on("/", HTTP_GET, [](PicosackRequest &request, PicosackResponse &response) {
            // Fetch and display real-time IoT data
            float temperature = readTemperature();
            float humidity = readHumidity();
            response.send(getDashboardHTML(temperature, humidity));
        });
    
        // Start the server
        server.begin();
    }
    
    void loop() {
        // Handle client requests
        server.handleClient();
    }
    
    // Function to read temperature from sensor
    float readTemperature() {
        // Implement your temperature reading logic here
        return 25.0; // Example value
    }
    
    // Function to read humidity from sensor
    float readHumidity() {
        // Implement your humidity reading logic here
        return 50.0; // Example value
    }
    
    // Function to generate the dashboard HTML
    String getDashboardHTML(float temperature, float humidity) {
        return "<html><body>"
               "<h1>IoT Data Monitoring Dashboard</h1>"
               "<p>Temperature: " + String(temperature) + " °C</p>"
               "<p>Humidity: " + String(humidity) + " %</p>"
               "</body></html>";
    }
  6. Upload the sketch to your ESP8266 device.

  7. Access the IoT data monitoring dashboard by entering your ESP8266's IP address in a web browser.

3. Enhancing the Dashboard

You can enhance the IoT data monitoring dashboard by adding more sensors, charts, and interactive elements using HTML, CSS, and JavaScript. Consider integrating libraries like Chart.js for visualizing data trends and Bootstrap for responsive design.

Conclusion

Creating an IoT data monitoring dashboard with Picosack empowers you to monitor and visualize real-time data from your IoT devices through a user-friendly web interface. By following this guide, you've learned how to create a basic dashboard and can now expand and customize it to meet your specific project requirements.

For more advanced usage and additional features, refer to the Picosack documentation.


⚠️ **GitHub.com Fallback** ⚠️