Yu-Lin Zhao1, Jiali Tang2, Han-Pang Huang1, Ze Wang3, Tse-Lun Chen4, Chih-Wei Chiang  5, Pen-Chi Chiang  4

 

1 Department of Mechanical Engineering, National Taiwan University, Taipei 10673, Taiwan
2 College of Computer Engineering, Jiangsu University of Technology, Changzhou 213001, China
3 School of Material Engineering, Jiangsu University of Technology, Changzhou 213001, China
4 Graduate Institute of Environmental Engineering, National Taiwan University, Taipei 10673, Taiwan
5 Department of Mechanical Engineering, Kun Shan University, Tainan 710303, Taiwan


 

Received: May 23, 2020
Revised: July 24, 2020
Accepted: July 26, 2020

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.2020.05.0255 

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Cite this article:

Zhao, Y.L., Tang, J., Huang, H.P., Wang, Z., Chen, T.L., Chiang, C.W. and Chiang, P.C. (2020). Development of IoT Technologies for Air Pollution Prevention and Improvement. Aerosol Air Qual. Res. https://doi.org/10.4209/aaqr.2020.05.0255


HIGHLIGHTS

  • IoT technologies for ambient air quality monitoring were reviewed.
  • IoT platform for ambient air quality management was established.
  • Case studies of pollution monitoring, trace, prevention and improvement were evaluated.
  • Strategies on smart air pollution control could be achieved by A-IoT technologies.
 

ABSTRACT


In order to mitigate the challenges of air pollution prevention and improvement, a large number of Internet of Things (IoT) related technologies have been developed to evaluate and monitor various parameters of air quality. This paper reviews the fundamental characteristics of IoT technologies and accordingly proposes an intelligent and multifunctional IoT monitoring platform to prevent and improve air pollution. The techniques of radio frequency identification (RFID), M2M and sensor network were discussed and compared. To improve the ambient air quality more efficiently, the comprehensive network communication system, cloud decision system, tracking information system, and online management system should be well established using IoT technologies. Meanwhile, we also discussed several cases verifying the availability and feasibility of the performance of the smart ambient air quality management platform on the IoT basis.


Keywords: Internet of Things (IoT); Ambient air pollution; RFID; M2M; Sensor networks; IoT platform.



Aerosol Air Qual. Res. 20:-. https://doi.org/10.4209/aaqr.2020.05.0255 


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