Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies

Sensors

卷:20

Begonya Garcia-Zapirain¹  Akash Kumar Bhoi²  Isabel de la Torre Díez³  Nuno Miranda⁴  Gonçalo Marques⁴  Sofiane Hamrioui⁵ 

[1] Electronics Engineering Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University (SMU), Sikkim, 737136 Majhitar, India;

[2] Department of Electrical &

[3] Polytech School, University of Nantes, CNRS, IETR UMRS 6164, 85000 La Roche-sur-Yon, France;

[4] Polytechnic Institute of Guarda, 6300-559 Guarda, Portugal;

[5] eVIDA research group, University of Deusto, Avda/Universidades 24, 48007 Bilbao, Spain;

关键词: air quality;    enhanced living environments;    internet of things;    mobile computing;    mobile health;   

DOI  :  10.3390/s20030720

来源: DOAJ

【 摘 要 】

This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for cost-effective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatial-temporal information. This system incorporates a cyber-physical system for data collection and mobile computing software for data consulting. Moreover, this method provides a cost-effective and efficient solution for air quality supervision and can be installed in vehicles to monitor air quality while travelling. The results obtained confirm the implementation of the system and present a relevant contribution to enhanced living environments in smart cities. This supervision solution provides real-time identification of unhealthy behaviours and supports the planning of possible interventions to increase air quality.

【 授权许可】

Unknown