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Smart Home Automation System with Blynk, ESP8266 and DHT11

This project implements a home automation system using an ESP8266 microcontroller, a DHT11 temperature and humidity sensor, and the Blynk IoT platform. It allows users to remotely control four LED Bulbs and monitor temperature via the Blynk app.

Prerequisites

  • ESP8266 Development Board: (e.g., NodeMCU)
  • DHT11 Temperature and Humidity Sensor
  • LED Bulbs (4)
  • 220 Ohm Resistors (4): For current limiting with the LEDs.
  • MicroPython Firmware: Flashed onto the ESP8266.
  • Blynk Account and App: Set up on your smartphone.
  • Wi-Fi Network: With internet access.
  • USB Cable: For connecting the ESP8266 to your computer.

Hardware Setup

  1. LED Connections:

    • Connect the anode (longer leg) of each LED to the following ESP8266 pins:
      • LED BULB 1: D0 (GPIO16)
      • LED BULB 2: D1 (GPIO5)
      • LED BULB 3: D2 (GPIO4)
      • LED BULB 4: D3 (GPIO0)
    • Connect the cathode (shorter leg) of each LED to ground (GND) through a 220 Ohm resistor(For LEDs).

  2. DHT11 Connection:

    • Connect the VCC pin of the DHT11 to 3.3V on the ESP8266.
    • Connect the GND pin of the DHT11 to GND on the ESP8266.
    • Connect the data pin of the DHT11 to D5 (GPIO14) on the ESP8266.

  3. ESP8266 Connection:

    • Connect the ESP8266 to your computer using a USB cable for power and uploading code.

Circuit Diagram

ESP8266 Home Automation System with Blynk and DHT11

Software Setup

  1. Flash MicroPython Firmware:

    • Download the latest MicroPython firmware for ESP8266.
    • Use a tool like esptool.py to flash the firmware onto your ESP8266.

  2. Install Required Libraries:

    • Use mip or upip to install the network, machine, BlynkLib, and dht libraries on your ESP8266.

  3. Blynk App Setup:

    • Create a Blynk account and project.
    • Add four buttons to control the LEDs, linked to virtual pins V1, V2, V3, and V4.
    • Add a gauge widget to display the temperature, linked to virtual pin V5.
    • Obtain the Blynk authorization token for your project.

  4. Configure Wi-Fi and Blynk Token:

    • Replace wifissid, wifipass, and auth in the Python code with your Wi-Fi credentials and Blynk authorization token.

  5. Upload the Code:

    • Use a tool like ampy or Thonny to upload the Python code to your ESP8266.

Code Explanation

  • network: For Wi-Fi connectivity.
  • machine: For controlling GPIO pins.
  • BlynkLib: For communication with the Blynk app.
  • time: For delays.
  • dht: For reading data from the DHT11 sensor.
  • Wi-Fi Connection: Connects the ESP8266 to your Wi-Fi network.
  • Blynk Initialization: Establishes a connection with the Blynk server.
  • LED Control: Controls the LEDs based on button presses in the Blynk app.
  • DHT11 Reading: Reads temperature data from the DHT11 sensor.
  • Blynk Virtual Writes: Sends LED status and temperature data to the Blynk app.
  • Error Handling: Includes try...except blocks to handle potential errors during value conversion.
  • Main Loop: Continuously runs the Blynk processes and reads sensor data.

How to Use

  1. Power On: Power on the ESP8266.

  2. Connect to Blynk: The ESP8266 will connect to your Wi-Fi and Blynk.

  3. Control LEDs: Use the buttons in the Blynk app to turn the LED BULBs on or off.

  4. Monitor Temperature: The temperature will be displayed on the gauge widget in the Blynk app.

Important Notes

  • Wi-Fi Credentials: Ensure your Wi-Fi credentials are correct.
  • Blynk Token: Ensure your Blynk authorization token is correct.
  • Pin Assignments: Double-check the pin assignments in the code and hardware setup.
  • MicroPython Libraries: Make sure the required MicroPython libraries are installed.
  • Error Handling: The code includes basic error handling, but you can add more robust error checking.

Practical Video

https://github.com/user-attachments/assets/bef6c9de-e6a4-403e-8396-ddf06b5a8266

Customization

  • Add more sensors and actuators.
  • Implement more complex automation logic.
  • Use different Blynk widgets for a richer user interface.
  • Add a web interface for local control.
  • Utilize other cloud IoT platforms.

Future Improvements

  • Implement humidity monitoring and display.
  • Add logging and data storage.
  • Integrate with other smart home devices.
  • Improve error handling and robustness.

Author

Kritish Mohapatra
B.Tech Electrical Engineering (3rd Year)
IoT | Embedded Systems | MicroPython | ESP32

⭐ Support

If you like this project, give it a ⭐ on GitHub and feel free to fork it!

Happy hacking 🚀