Development of AI Prediction and Control Solution for Fine Dust Reduction in Multi-Use

Overview

Multi-use facilities (subway stations, airports, shopping malls, hospitals, etc.) require critical indoor air quality management, yet systems capable of real-time fine dust concentration prediction and effective control remain insufficient. Existing air quality management relies on periodic filter replacement and manual ventilation adjustments, limiting real-time responsiveness. This solution aims to build a smart environment that combines AI and IoT technology to predict real- time changes in fine dust and automatically regulate air quality.

Project Description

This system detects fine dust concentrations in real time and automatically executes optimal air quality maintenance measures.

• AI-Based Indoor Fine Dust Prediction and Analysis – Utilizes AI algorithms to analyze patterns in external air quality and internal air quality changes, predicting future fine dust concentrations to enable proactive responses.
• Real-time Air Quality Monitoring Using IoT Sensors – Air quality sensors, temperature and humidity sensors, and HVAC systems are integrated to collect real-time data. This enables immediate detection of air quality changes and automatic response when fine dust concentrations exceed a certain threshold.
• Smart Air Quality Control System Operation – Automatically regulates air quality by linking ventilation systems, air purifiers, humidifiers, and other devices. Designed using an AI-based optimization model to minimize energy consumption while effectively reducing fine dust.

Expected outcomes

This system enables more effective management of indoor air quality in multi-use facilities, protecting user health and creating a comfortable environment.

Key technological features

• AI-Based Fine Dust Prediction Model: Analyzes indoor and outdoor fine dust changes to predict pollution levels and derive optimal countermeasures
• IoT Sensor Network Deployment: Collects real-time data by integrating air quality sensors, temperature/humidity sensors, and HVAC systems
• Automatic Air Quality Control System: Provides smart control functions that automatically adjust ventilation, air purifier operation, etc., based on fine dust concentration

Launch year: 2024

Attribution

Case study courtesy of the National Information Society Agency, Republic of Korea, Apolitical's Content Partner. Sourced from Use Cases of Public AI Service, Vol.1,  https://eng.nia.or.kr/site/nia_eng/ex/bbs/View.do?cbIdx=31975&bcIdx=28997&parentSeq=29043