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Sensors and Materials, Volume 31, Number 8(1) (2019)
Copyright(C) MYU K.K.
S&M1947 Research Paper of Special Issue
Published: August 9, 2019
Smart iAIR System with Integration of the Internet of Things and Mobile Applications [PDF]
Bao Rong Chang, Hsiu-Fen Tsai, Hsiu-Ching Kuo, and Chien-Feng Huang
(Received April 11, 2019; Accepted June 20, 2019)
Keywords: iAIR system, mobile applications, IoT, air pollution monitoring, heart rate variability warning, intelligent relocation navigation
Commercially available crowdsourced air boxes have nonuniform distributions and cannot achieve suitable observation densities. As a result, current air quality data are limited to the vicinity of an observation station, rather than providing accurate actual data around a user. In this research, we propose the implementation of iAIR air pollution detection air boxes, which can be installed on air purifiers or air conditioners in large numbers and distributed over a wide area; this provides a real-time air pollution information map according to various air qualities and shows a higher resolution. The provided real-time information enables a user to immediately take appropriate response measures once poor air quality has been detected. When air quality degrades or the user’s heart rate exceeds the normal range, the smart iAIR system installed on a cloud service platform will transmit warning messages to a mobile app and a wearable personal smart wristband, and at the same time, activate the air purifier (or air conditioner) to improve the current air quality and advise the user to move to an environment with better air quality with guidance by an air navigation map.
Corresponding author: Hsiu-Fen Tsai, Chien-Feng Huang
This work is licensed under a Creative Commons Attribution 4.0 International License.
Cite this article
Bao Rong Chang, Hsiu-Fen Tsai, Hsiu-Ching Kuo, and Chien-Feng Huang, Smart iAIR System with Integration of the Internet of Things and Mobile Applications, Sens. Mater., Vol. 31, No. 8, 2019, p. 2451-2462.
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