논문 상세보기
pp.367-386
This study quantitatively evaluated the real-world performance of an IoTbased, context-aware mobile air purification system. Additionally, this system is proposed as a practical alternative to conventional stationary purifiers, overcoming their spatial limitations. To analyze concentration variations, removal efficiency, and air cleaning ratio (ACR) for PM2.5, PM10, and HCHO, three scenarios were tested: S1 (natural ventilation), S2 (stationary purifier), and S3 (IoT-based mobile air purification system). The mobile system (S3) achieved a 1.6-fold higher removal efficiency for PM2.5 compared with the stationary purifier (S2) and reduced the ACR to below 0.4 within 30 minutes after high-concentration events. In contrast, stationary purifiers required approximately 333 minutes to reach background levels (17.11 μg/m3), revealing about a 10-fold difference in cleaning speed. Monte Carlo simulations confirmed the consistent superiority of S3 for both particulate and gaseous pollutants, with HCHO concentrations 36.7% lower (90th percentile) than under S2. According to the health risk assessment, the asthma hospitalization rate decreased by over 40%, the HQ for PM2.5 decreased from 1.1 (S1) to 0.64 (S3), and the ECR for HCHO was 0.62 times that of S2. These findings highlight that spatial responsiveness and mobility, along with filter capacity, are key determinants of air purification performance. In conclusion, the mobile air purifier effectively overcomes the structural constraints of stationary devices and establishes a new paradigm for realtime, adaptive indoor air quality management that helps safeguard occupant health.
1. 서 론
2. 연구 방법
2.1 연구대상 공간
2.2 주택 실내 공기질 모니터링
2.3 IoT 기반 상황인지형 이동형 공기청정 시스템성능 평가
2.4 시나리오별 이동형 공기청정 시스템의 건강영향 평가
2.5 통계분석
3. 결 과
3.1 시나리오별 실내공기질 분포 특성
3.2 시나리오별 이동형 공기청정 시스템 성능 평가 결과
3.3 시나리오별 이동형 공기청정 시스템의 건강영향 평가 결과
4. 고 찰
5. 결 론
References
