The panorama of air quality monitoring is constantly evolving, and its importance has become increasingly fundamental even in indoor environments. Recent studies show the impact of indoor air pollutants on human health. Since individuals spend a substantial part of their lives indoors, more and more attention is paid to guaranteeing the safety and purity of indoor air to safeguard health both at home and in the workplace. In this work, the design and development of an autonomous mobile measurement system dedicated to the sampling and analysis of indoor air quality in closed environments is presented. The system consists of a rover and several sensor technologies to provide a comprehensive assessment of air quality. The system moves autonomously in the closed environment, monitoring pollutants and transmitting data via wi-fi connection to the cloud for analysis and identification of possible dangerous situations. The preliminary tests carried out include the evaluation of various pollution scenarios, such as the presence of smoke, exhaust gases, chemical pollutants, and gas leaks. Furthermore, the autonomous mobile measurement system has been validated during about 12 hours in a real indoor environment. The presented work also offers a critical analysis and interpretation of these results, illustrating the practical implications and effectiveness of the proposed system in real contexts.
Mobile Autonomous System for Measuring Pollutants in Indoor Environments
Polidori G.;Serpelloni M.
2024-01-01
Abstract
The panorama of air quality monitoring is constantly evolving, and its importance has become increasingly fundamental even in indoor environments. Recent studies show the impact of indoor air pollutants on human health. Since individuals spend a substantial part of their lives indoors, more and more attention is paid to guaranteeing the safety and purity of indoor air to safeguard health both at home and in the workplace. In this work, the design and development of an autonomous mobile measurement system dedicated to the sampling and analysis of indoor air quality in closed environments is presented. The system consists of a rover and several sensor technologies to provide a comprehensive assessment of air quality. The system moves autonomously in the closed environment, monitoring pollutants and transmitting data via wi-fi connection to the cloud for analysis and identification of possible dangerous situations. The preliminary tests carried out include the evaluation of various pollution scenarios, such as the presence of smoke, exhaust gases, chemical pollutants, and gas leaks. Furthermore, the autonomous mobile measurement system has been validated during about 12 hours in a real indoor environment. The presented work also offers a critical analysis and interpretation of these results, illustrating the practical implications and effectiveness of the proposed system in real contexts.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
