Temperature and Humidity Monitoring Using DHT11 Sensor

In this project, you will be directed to monitor temperature and humidity using a DHT11 sensor connected to a Raspberry Pi. Furthermore, the temperature and humidity data read by the DHT11 sensor will be sent to the Antares IoT Platform.

Prerequisites

The materials required follow the General Prerequisites on the previous page. If you have not prepared the requirements on that page, then you can visit the following page.

Follow These Steps

1. Menyiapkan Peralatan

Here are some of the equipment you will need for temperature and humidity monitoring using the DHT11 Sensor:

• Raspberry Pi

• Sensor DHT11

• Resistor 10kΩ

• Breadboard

• Jumper cables (3 jumper male to female and 3 jumper male to male)

2. Assembling Hardware

For temperature and humidity monitoring, you need to connect the DHT11 sensor with the Raspberry Pi. You need to create a circuit as in the following image.

Here is a pinout diagram of the Raspberry Pi and DHT11 sensor that can make it easier for you to build a circuit.

3. Switching on the Raspberry Pi

To switch on the Raspberry Pi, insert the SD card that has the OS installed in the slot available on the Raspberry Pi board. Then connect the Raspberry Pi to the monitor using a Micro HDMI to HDMI cable. Also connect the keyboard and mouse to the USB slot on the Raspberry Pi as shown below. Finally, connect the Raspberry Pi board to the power source using USB-C.

4. Switching on the Monitor and Opening the Terminal

After the Raspberry Pi is connected to the power source, then you can turn on the monitor. Raspberry Pi that has booted and entered the OS is shown as in the image below.

Next, you can open the terminal on the top left as shown in the following icon image.

The opened terminal will look like the following image.

5. Install Adafruit DHT11 Library

After assembling the hardware and turning on the Raspberry Pi via the monitor, you can open the terminal and install the DHT11 library from Adafruit by cloning from Github. The following syntax must be typed into the terminal.

git clone https://github.com/adafruit/Adafruit_Python_DHT.git

After the cloning process is complete, the Adafruit_Python_DHT folder will appear, which can be checked by typing "ls" in the terminal.

To install the DHT11 library, enter the Adafruit_Python_DHT folder by typing the following syntax.

cd Adafruit_Python_DHT

Once inside the folder, you can check the files inside by typing "ls" in the terminal.

Type the syntax below to perform the installation.

sudo python setup.py install

After inputting the syntax above, the terminal output will be as shown below. In this condition, you have successfully installed the DHT11 library.

6. Creating a Python File

After successfully installing the required libraries, you need to create a Python file to input the required programme code. You need to enter the examples directory by typing the following syntax.

cd examples

Then you need to create a new Python file by typing the syntax below.

sudo nano your-file-name.py

After that, the display on the terminal will change to the one shown below.

7. Inputting programme code

Here is the programme code that you need to input to the Python file that you created earlier.

import Adafruit_DHT
import time
import datetime
import requests

# Set DHT11 sensor type
sensor = Adafruit_DHT.DHT11

# Set GPIO pin where DHT11 sensor is connected
pin = 4

# Set Antares URL and headers
antares_url = 'masukkan URL'
headers = {
    'cache-control': 'no-cache',
    'content-type': 'application/json;ty=4',
    'x-m2m-origin': 'masukkan access-key'
}

while True:
    # Read data from DHT11 sensor
    humidity, temperature = Adafruit_DHT.read_retry(sensor, pin)

    if humidity is not None and temperature is not None:
        print("Last valid input: " + str(datetime.datetime.now()))
        print("Temperature: %d C" % temperature)
        print("Humidity: %d %%" % humidity)

        # Create the data payload
        data = {
            "m2m:cin": {
                "con": "{\"Temperature\":%d,\"Humidity\":%d}" % (temperature, humidity)
            }
        }

        # Send the data to Antares
        try:
            response = requests.post(antares_url, headers=headers, json=data)
            response.raise_for_status()  # Check if the request was successful
            print('Data sent successfully.')
        except requests.exceptions.RequestException as e:
            print('Failed to send data:', e)

    else:
        print('Failed to get reading. Try again!')

    # Wait for 2 seconds before the next reading
    time.sleep(2)

After successfully inputting the programme code, the display will be as shown below.

8. Executing Python Files

After the Node.js Request file has been successfully saved. Next you can execute the file by typing the following syntax in the terminal.

python your-file-name.py

After the Python file is executed, the display on the terminal will be as shown below.

9. Check Data on Antares IoT Platform

To ensure that the temperature and humidity data has been sent to the Antares IoT Platform, you can open your device URL. The following image shows the display on the Antares IoT Platform that has received data from the Raspberry Pi.