This guide will help you create an IoT-based Alcohol and Health Monitoring System using Raspberry Pi. The system will detect alcohol levels and monitor health metrics such as heart rate and temperature, providing real-time data and alerts.

Components Required

  • Raspberry Pi (Model 3 or later)
  • Alcohol sensor (e.g., MQ-3 or similar)
  • Heart rate sensor (e.g., pulse sensor)
  • Temperature sensor (e.g., DHT11 or DHT22)
  • Relay module (for triggering alerts or notifications)
  • Connecting wires and breadboard
  • Power supply (for Raspberry Pi and sensors)
  • Cloud service account (e.g., ThingSpeak, Blynk, or AWS IoT)
  • Optional: Buzzer or alarm (for local alerts)

Setting Up the Hardware

Follow these steps to set up the hardware:

  1. Connect the Alcohol Sensor

    Connect the alcohol sensor to the Raspberry Pi GPIO pins. Ensure proper wiring and calibration of the sensor for accurate alcohol level detection.

  2. Install Health Sensors

    Connect the heart rate and temperature sensors to the Raspberry Pi. Place the sensors in suitable positions for accurate readings.

  3. Power the System

    Ensure that the Raspberry Pi and all connected sensors are powered correctly using the appropriate power supplies.

Programming the Raspberry Pi

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


                import RPi.GPIO as GPIO
                import time
                import requests
                from Adafruit_DHT import DHT22, read_retry

                # Configuration
                ALCOHOL_SENSOR_PIN = 18
                HEART_RATE_PIN = 23
                TEMPERATURE_SENSOR_PIN = 4
                CLOUD_URL = "https://api.thingspeak.com/update?api_key=YOUR_API_KEY"

                # Setup
                GPIO.setmode(GPIO.BCM)
                GPIO.setup(ALCOHOL_SENSOR_PIN, GPIO.IN)
                GPIO.setup(HEART_RATE_PIN, GPIO.IN)

                def get_temperature():
                    humidity, temperature = read_retry(DHT22, TEMPERATURE_SENSOR_PIN)
                    return temperature

                def get_heart_rate():
                    # Replace with actual heart rate sensor code
                    return 75

                def send_data_to_cloud(alcohol_level, heart_rate, temperature):
                    response = requests.get(CLOUD_URL + f"&field1={alcohol_level}&field2={heart_rate}&field3={temperature}")
                    print(f"Data sent to cloud: {response.status_code}")

                try:
                    while True:
                        alcohol_level = GPIO.input(ALCOHOL_SENSOR_PIN)
                        heart_rate = get_heart_rate()
                        temperature = get_temperature()
                        send_data_to_cloud(alcohol_level, heart_rate, temperature)
                        time.sleep(60)  # Send data every minute

                except KeyboardInterrupt:
                    GPIO.cleanup()
            

This code reads data from the alcohol sensor, heart rate sensor, and temperature sensor, then sends it to the cloud. Replace the placeholders with your actual sensor data processing code.

Setting Up Cloud Integration

To visualize and receive notifications, integrate the system with a cloud service. Configure your cloud service to display sensor data and set up alerts based on predefined thresholds for alcohol levels or health metrics.

Testing and Calibration

Test the system by simulating different alcohol levels and health conditions to ensure accurate data collection and alert generation. Adjust sensor calibration and code parameters as necessary for reliable performance.

Conclusion

The IoT-Based Alcohol and Health Monitoring System offers a valuable tool for tracking alcohol consumption and monitoring health metrics. By leveraging Raspberry Pi and cloud services, this system enhances personal health management and safety.