scholarly journals A Modular IoT Platform for Real-Time Indoor Air Quality Monitoring

Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 581 ◽  
Author(s):  
Mohieddine Benammar ◽  
Abderrazak Abdaoui ◽  
Sabbir Ahmad ◽  
Farid Touati ◽  
Abdullah Kadri
Author(s):  
Felix-Constantin Adochiei ◽  
Serban - Teodor Nicolescu ◽  
Ioana-Raluca Adochiei ◽  
George-Calin Seritan ◽  
Bogdan-Adrian Enache ◽  
...  

1997 ◽  
Vol 6 (6) ◽  
pp. 331-336 ◽  
Author(s):  
E. Kähkönen ◽  
A. Zitting ◽  
E. Airo ◽  
J. Valkonen ◽  
M. Leikas

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 170 ◽  
Author(s):  
Gonçalo Marques ◽  
Rui Pitarma

We spend about 90% of our lives in indoor living environments. Thus, it is essential to provide indoor air quality monitoring for enhanced living environments. Advances in networking, sensors, and embedded devices have made monitoring and supply of assistance possible to people in their homes. Technological advancements have made possible the building of smart devices with significant capabilities for sensing and connecting, but also provide several improvements in ambient assisted living system architectures. Indoor air quality assumes an important role in building productive and healthy indoor environments. In this paper, the authors present an Internet of Things system for real-time indoor air quality monitoring named iAir. This system is composed by an ESP8266 as the communication and processing unit and a MICS-6814 sensor as the sensing unit. The MICS-6814 is a metal oxide semiconductor sensor capable of detecting several gases such as carbon monoxide, nitrogen dioxide, ethanol, methane, and propane. The iAir system also provides a smartphone application for data consulting and real-time notifications. Compared to other solutions, the iAir system is based on open-source technologies and operates as a totally Wi-Fi system, with several advantages such as its modularity, scalability, low cost, and easy installation. The results obtained are very promising, representing a meaningful contribution for enhanced living environments as iAir provides real-time monitoring for enhanced ambient assisted living and occupational health.


2013 ◽  
Vol 2013 (1) ◽  
pp. 4173 ◽  
Author(s):  
Ellen Wells ◽  
Donald Moore ◽  
Marcia Nishioka ◽  
Jeno Mozes ◽  
Kenneth A. Loparo ◽  
...  

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