Decision Support Algorithm Based on the Concentrations of Air Pollutants Visualization

Area of Science:

• Environmental Science and Public Health
• Health Informatics
• Internet of Things (IoT)

Background:

• Increasing consumer involvement in health necessitates advanced technological solutions.
• The Internet of Things (IoT) offers potential for remote healthcare and environmental monitoring.
• Existing Air Quality Index (AQI) calculations often lack real-time public accessibility and user-friendly interpretation.

Purpose of the Study:

• To develop a decision support algorithm for transforming raw environmental sensor data into understandable air quality information for the general public.
• To enhance individual self-awareness and adaptability in environmental monitoring through accessible suggestions.
• To create a system for real-time AQI calculation and public dissemination.

Main Methods:

• Development of a decision support algorithm integrating environmental sensing with smart health principles.
• Real-time data acquisition of environmental parameters including PM10, PM2.5, and NO2 concentrations.
• Implementation of a step-by-step procedure for calculating AQI across four risk levels for each parameter.
• Development of a user-friendly front-end interface for data visualization and decision support suggestions.

Main Results:

• A functional system that translates complex environmental data into easily interpretable air quality metrics.
• The system provides actionable suggestions to users, enhancing their environmental awareness and self-management capabilities.
• Demonstrated technical implementation of real-time AQI calculation and user-friendly presentation of results.

Conclusions:

• The proposed algorithm effectively bridges the gap between raw environmental data and public understanding.
• The smart health solution promotes proactive health management by empowering users with accessible environmental information.
• The system contributes to improving quality of life through informed environmental awareness and decision-making.