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IoT-Based Indoor Air Quality & Allergen Reduction System - Coggle…
IoT-Based Indoor Air Quality & Allergen Reduction System
AGILE METHODOLOGY
PLAN
Defining project objectives
Review of related IoT air quality monitoring systems
Identifying indoor air quality problems
Determining target users
DEVELOP
Arduino microcontroller programming
Sensor integration (humidity, temperature)
HEPA fan automation
Mobile application development
DESIGN
Systems architecture design
Sensor selection and placement layout
Air quality analysis logic
Threshold and automation logic
Alert and notification flow
HEPA fan control mechanism design
TEST
Sensor accuracy testing
Threshold validation testing
Fan activation testing
End-to-end functional testing
Data transmission testing
REVIEW
User feedback collection
System performance evaluation
Accuracy of inferred allergen levels
Improvement recommendations
DEPLOYMENT
Sensor installation in indoor environment
HEPA fan installation
Mobile app deployment
Threshold configuration
ACTORS/USERS
Residents
System Administrator
IoT Device (Arduino + Sensors)
SOFTWARE COMPONENTS
Mobile Application
Database Management System
Notification Module
Data Analytics Module
FEATURES
Real-time air quality monitoring
Allergen level inference
Automatic HEPA filtration activation
User-defined threshold settings
Alerts and notifications
Air quality history reports
HARDWARE COMPONENTS
Arduino Microcontroller
Temperature Sensor
Humidity Sensor
HEPA Fan System
PM2.5/PM10 Sensor
FEEDBACK
Accuracy evaluation
Usability feedback
Reliability Testing
OUTCOME
Improved indoor air quality
Reduced allergen exposure
Automated air filtration
Increased user awareness
Healthier indoor environment