EcoConnect is an IoT-enabled mini pollution monitoring system designed to provide real-time measurements of air quality and pollution levels. This system integrates various sensors to monitor air quality parameters, delivering data through a user-friendly Android application and a web interface. The compact design allows for portability and easy installation, making it suitable for both indoor and outdoor environments.
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Multi-Sensor Integration: Utilizes:
- MQ135 Gas Sensor: For measuring air quality and detecting harmful gases.
- DHT11 Sensor: For measuring temperature and humidity levels.
- BMP280 Pressure Sensor: For measuring atmospheric pressure.
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Real-Time Data Transmission: Sensor data is transmitted to Firebase (Realtime Database), enabling real-time updates.
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User-Friendly Application: An Android app provides a graphical interface for users to monitor air quality levels, set thresholds, and receive alerts.
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Alert System:
- Voice Alerts: Notifies users through voice alerts when pollution levels exceed safe thresholds.
- Visual Alerts: Changes images and sends alert notifications to inform users of potential health risks.
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Smart Home Integration: Easily integrates with smart home devices for enhanced automation and monitoring.
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Components Required:
- MQ135 Gas Sensor: For detecting pollutants.
- DHT11 Sensor: For measuring temperature and humidity.
- BMP280 Pressure Sensor: For measuring atmospheric pressure.
- Microcontroller (e.g., ESP32 or Arduino): For processing sensor data and transmitting it.
- Power Supply: To power the sensors and microcontroller.
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Wiring:
- Connect the MQ135, DHT11, and BMP280 sensors to the microcontroller following their respective pin configurations.
- Ensure the power supply is appropriately connected to power the entire setup.
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Compact Design: The hardware setup is designed to fit within the size of an iPod for portability and ease of installation.
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Firebase Setup:
- Create a Firebase project and set up the Realtime Database.
- Configure database rules for read/write access as needed.
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Microcontroller Code:
- Write code to read data from the sensors and send it to Firebase.
- Implement error handling for sensor readings and data transmission.
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Android Application:
- Develop an Android application that fetches data from Firebase.
- Design a user interface to display real-time air quality metrics, temperature, humidity, and pressure.
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Alert System:
- Implement a feature to monitor pollution levels and trigger voice alerts and notifications when thresholds are exceeded.
- Web Interface: Develop a web-based dashboard for users to monitor air quality from any device.
- Data Analytics: Implement data logging and visualization features to analyze air quality trends over time.
- Community Integration: Allow users to contribute data to a larger community network for collaborative pollution monitoring.
