The sampling rate refers the frequency which data collected

•Use Python to write simple programs for the virtual Raspberry Pi4.

•Develop a basic understanding of IoT sensors, data acquisition, and data processing.

Task 1: Setting up the Virtual Machine
1.Open Oracle VirtualBox and click "New" to create a new virtual machine. 2.Name the virtual machine "Raspberry Pi4".

3.Choose "Linux" as the type and "Debian (64-bit)" as the version.

8.Set the hard disk size to 20 GB.

9.Click "Create" to create the virtual machine.

3.Start the virtual machine and follow the on-screen instructions to install Debian Bullseye with Raspberry Pi Desktop.

4.Once the installation is complete, log in to the virtual Raspberry Pi4 using the credentials you set up during the installation.

3.Install Python by running the following command:

sudo apt-get install python3

This program prints Hello World!

6.Save the file by pressing Ctrl + O and exit the editor by pressing Ctrl + X.

IoT sensors refer to small devices or modules that detect and measure physical or environmental parameters, such as temperature, humidity, light, sound, motion, and pressure. These sensors can collect data and transmit it wirelessly to a cloud-based platform for further analysis and interpretation. The concept of IoT sensors is to enable the creation of a network of interconnected devices that can communicate and exchange data with each other, allowing for a more intelligent and efficient system.

There are various types of IoT sensors, each designed to measure specific parameters. For instance, temperature sensors can be used to monitor the temperature of a room, a

Collecting Data from a Sensor

Interfacing with sensors in Python requires some hardware knowledge, programming skills, and attention to detail. However, with the right resources and a bit of patience, you can learn how to interface with sensors in Python and start building your own sensor-based projects.

4.Connect the sensor to your hardware: Follow the manufacturer's instructions to connect the sensor to your hardware platform.

5.Write Python code to interface with the sensor: Use the appropriate library or module to read data from the sensor. For example, if you're using a temperature sensor with a Raspberry Pi, you could use the Adafruit Python DHT library to read temperature and humidity data.

Find below the general steps to collect data from a sensor using the Raspberry Pi4:

1.Choose a suitable sensor: Depending on your needs, you can choose a sensor that measures temperature, humidity, light, motion, etc. Make sure the sensor is compatible with the Raspberry Pi and has the necessary connections.

import Adafruit_DHT

sensor = Adafruit_DHT.DHT11

{humidity:.2f}%')

else:

Lab Workshop/Lab 6 Embedded Systems and the IoT EEE_6_ESI

Task 4: Displaying Sensor Data on a Graph (continued) 1.Learn how to use Python libraries to display data on a graph.

Sample sensor data
sensor_data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
Plot the data
plt.plot(sensor_data)
Add labels and title to the plot
plt.xlabel('Time (s)') plt.ylabel('Sensor Reading') plt.title('Sensor Data')
Display the plot
plt.show()
5.Save the file by pressing Ctrl + O and exit the editor by pressing Ctrl + X.

6.Run the program by running the following command: python3 plot_sensor_data.py.