Raspberry Pi Air and Noise Pollution Monitoring System Over IoT

This guide will help you create an IoT-based air and noise pollution monitoring system using Raspberry Pi. The system will measure air quality and noise levels, sending real-time data to the cloud for monitoring and analysis.

Components Required

• Raspberry Pi (Model 3 or later)
• Air quality sensor (e.g., MQ-135 for air pollutants)
• Noise sensor (e.g., KY-038 or similar)
• Connecting wires and breadboard
• Power supply (for Raspberry Pi)
• Cloud service account (e.g., ThingSpeak, Blynk, or AWS IoT)
• Optional: LCD or LED display (for local feedback)

Setting Up the Hardware

Follow these steps to set up the hardware:

1. Install the Air Quality Sensor

   Connect the air quality sensor to the Raspberry Pi using GPIO pins. This sensor will measure air pollutants like CO2 and other gases.

2. Install the Noise Sensor

   Connect the noise sensor to the Raspberry Pi. This sensor will detect sound levels and convert them into an electrical signal.

3. Power the System

   Ensure the Raspberry Pi and sensors are properly powered using the appropriate power supplies.

Programming the Raspberry Pi

Write the code to read data from the air quality and noise sensors and send the data to the cloud. Below is a basic outline of the code using Python:

                import RPi.GPIO as GPIO
                import time
                import requests

                # Configuration
                AIR_SENSOR_PIN = 17
                NOISE_SENSOR_PIN = 27
                CLOUD_URL = "https://api.thingspeak.com/update?api_key=YOUR_API_KEY"

                # Setup
                GPIO.setmode(GPIO.BCM)
                GPIO.setup(AIR_SENSOR_PIN, GPIO.IN)
                GPIO.setup(NOISE_SENSOR_PIN, GPIO.IN)

                def send_data(air_quality, noise_level):
                    payload = {
                        "field1": air_quality,
                        "field2": noise_level
                    }
                    response = requests.get(CLOUD_URL, params=payload)
                    print(f"Data sent to cloud: {response.status_code}")

                try:
                    while True:
                        air_quality = GPIO.input(AIR_SENSOR_PIN)  # Example value, adjust as needed
                        noise_level = GPIO.input(NOISE_SENSOR_PIN)  # Example value, adjust as needed
                        send_data(air_quality, noise_level)
                        time.sleep(60)  # Send data every minute

                except KeyboardInterrupt:
                    GPIO.cleanup()
            

This code reads data from the air quality and noise sensors, then sends the data to the cloud service at regular intervals. The sensor readings are placeholders and should be adjusted based on the actual sensor outputs.

Setting Up Cloud Integration

To visualize and analyze environmental data, integrate the system with a cloud service. Configure your cloud service to receive data from the Raspberry Pi and set up dashboards or alerts based on the received data for air quality and noise levels.

Testing and Calibration

Test the system by comparing sensor readings with known pollution levels or noise sources. Verify that the data is correctly sent to the cloud and adjust sensor calibration and code parameters as needed for accurate measurements.