Temperature and Humidity Monitoring with Raspberry Pi and DHT11 Sensor - Python Language

 Here is an example of a Python code for monitoring temperature and humidity using a Raspberry Pi and a DHT11 sensor:

This code uses the RPi.GPIO and dht11 libraries to read data from the DHT11 sensor. The DHT11 sensor is connected to the Raspberry Pi using the GPIO pin 14. The code reads the temperature and humidity data from the sensor and prints it to the console. The while loop in the code allows the program to continuously read the data from the sensor, so the temperature and humidity can be monitored in real-time.

For this project, you will need the following electronic items: (I have provided amazon links to buy from it if you want)

  1. A Raspberry Pi (Model B or later)
  2. DHT11 Temperature and Humidity Sensor
  3. Jumper wires
  4. Power Supply
  5. A breadboard (Optional)

The DHT11 sensor is a low-cost, digital temperature and humidity sensor. It is easy to use, and it can be connected to the Raspberry Pi using a few jumper wires. The sensor has three pins: VCC, GND, and DATA. The VCC pin needs to be connected to the 3.3V pin on the Raspberry Pi, the GND pin needs to be connected to the GND pin on the Raspberry Pi, and the DATA pin needs to be connected to the GPIO pin 14 on the Raspberry Pi.

Here is a sample circuit diagram explanation for the setup:

In the circuit diagram, the DHT11 sensor is connected to the Raspberry Pi using three jumper wires, the VCC pin is connected to the 3.3V pin, the GND pin is connected to the GND pin, and the DATA pin is connected to the GPIO pin 14.

Please note that this is just a sample code and circuit diagram, you may need to adjust the code and circuit to suit your specific requirements and hardware.

You will also need to install the dht11 library for python for the raspberry pi to communicate with the sensor.

Please note that these are just examples, and there are many other options available on the market. It is important to check the compatibility and specifications of the components before buying them.



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