Data compression techniques in SCADA systems - Mini Project: Build & Apply

Data Compression Techniques in SCADA Systems

📖 Scenario: You work as a technician managing a SCADA (Supervisory Control and Data Acquisition) system. The system collects sensor data continuously, but the storage space is limited. To save space, you want to compress the data by keeping only readings above a certain threshold.

🎯 Goal: Build a simple program that stores sensor readings, sets a compression threshold, filters the readings to keep only those above the threshold, and then displays the compressed data.

📋 What You'll Learn

Create a dictionary called sensor_readings with exact sensor names and their readings

Create a variable called compression_threshold with the exact value 50

Use a dictionary comprehension to create a new dictionary compressed_data with readings above the threshold

Print the compressed_data dictionary

💡 Why This Matters

🌍 Real World

SCADA systems collect large amounts of sensor data. Compressing data by filtering out less important readings helps save storage and speeds up data transmission.

💼 Career

Understanding data compression techniques is important for SCADA technicians and engineers to optimize system performance and resource use.

1

Create initial sensor readings dictionary

Create a dictionary called sensor_readings with these exact entries: 'temp_sensor': 45, 'pressure_sensor': 55, 'flow_sensor': 60, 'level_sensor': 40

SCADA systems

# Create the sensor_readings dictionary with exact values
# Your code here

Need a hint?

Use curly braces to create a dictionary with keys and values separated by colons.

2

Set compression threshold

Create a variable called compression_threshold and set it to the integer value 50

SCADA systems

sensor_readings = {'temp_sensor': 45, 'pressure_sensor': 55, 'flow_sensor': 60, 'level_sensor': 40}
# Set compression_threshold to 50
# Your code here

Need a hint?

Assign the number 50 to the variable compression_threshold.

3

Filter readings above threshold

Use a dictionary comprehension to create a new dictionary called compressed_data that includes only the entries from sensor_readings where the reading is greater than compression_threshold

SCADA systems

sensor_readings = {'temp_sensor': 45, 'pressure_sensor': 55, 'flow_sensor': 60, 'level_sensor': 40}
compression_threshold = 50
# Create compressed_data with readings above compression_threshold
# Your code here

Need a hint?

Use dictionary comprehension syntax: {key: value for key, value in dict.items() if condition}.

4

Display compressed data

Write a print statement to display the compressed_data dictionary

SCADA systems

sensor_readings = {'temp_sensor': 45, 'pressure_sensor': 55, 'flow_sensor': 60, 'level_sensor': 40}
compression_threshold = 50
compressed_data = {sensor: reading for sensor, reading in sensor_readings.items() if reading > compression_threshold}
# Print the compressed_data dictionary
# Your code here

Need a hint?

Use print(compressed_data) to show the filtered dictionary.