IoT Air & Sound Pollution Monitoring System

This guide will help you create an IoT-Based Air and Sound Pollution Monitoring System using Raspberry Pi. The system will measure air quality and noise levels, providing real-time data and alerts for environmental monitoring.

Components Required

• Raspberry Pi (Model 3 or later)
• Air quality sensor (e.g., MQ-135 for detecting gases like CO2, NH3, etc.)
• Sound level sensor (e.g., KY-038 for measuring sound levels)
• Analog-to-Digital Converter (ADC) (if sensors provide analog signals)
• Relay module (optional, for triggering alerts)
• Connecting wires and breadboard
• Power supply (for Raspberry Pi and sensors)
• Cloud service account (e.g., AWS IoT, Google Cloud IoT)
• Optional: LCD or LED display for local status

Setting Up the Hardware

Follow these steps to set up the hardware:

1. Connect the Air Quality Sensor

   Install the air quality sensor in a location where it can effectively measure air pollution. Connect the sensor to the Raspberry Pi using GPIO pins or through an ADC if the sensor provides an analog signal.

2. Connect the Sound Level Sensor

   Place the sound level sensor in a suitable location to measure noise levels. Connect it to the Raspberry Pi using GPIO pins or through an ADC if necessary.

3. Power the System

   Ensure the Raspberry Pi and all connected sensors are powered appropriately. Verify all connections before powering on the system.

Programming the Raspberry Pi

Write the code to read data from the air quality and sound level sensors and send the data to the cloud. Below is a basic example using Python:

                import RPi.GPIO as GPIO
                import time
                import requests

                # Configuration
                AIR_SENSOR_PIN = 18
                SOUND_SENSOR_PIN = 23
                CLOUD_URL = "https://api.example.com/update?api_key=YOUR_API_KEY"

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

                def send_data(air_quality, sound_level):
                    response = requests.get(CLOUD_URL + f"&air_quality={air_quality}&sound_level={sound_level}")
                    print(f"Data sent to cloud: {response.status_code}")

                try:
                    while True:
                        air_quality = GPIO.input(AIR_SENSOR_PIN)  # Replace with actual sensor reading logic
                        sound_level = GPIO.input(SOUND_SENSOR_PIN)  # Replace with actual sensor reading logic
                        send_data(air_quality, sound_level)
                        time.sleep(60)  # Send data every minute

                except KeyboardInterrupt:
                    GPIO.cleanup()
            

This code reads data from the air quality and sound level sensors, then sends the data to a cloud service at regular intervals.

Setting Up Cloud Integration

To monitor and visualize air quality and sound levels, integrate your system with a cloud service. Configure the cloud service to receive and process data from the Raspberry Pi, and set up dashboards or alerts based on the data.

Testing and Calibration

Test the system by measuring known values for air quality and sound levels to ensure accurate readings. Verify that data is correctly sent to the cloud and adjust sensor calibration and code parameters as needed.