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. 20: 2874–2888. 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, a large number of Internet of Things (IoT)-related technologies have been developed to evaluate and monitor various parameters of air quality. Hence, this paper reviews the fundamental characteristics of IoT; compares and analyzes radio frequency identification (RFID), M2M, and sensor networks; and accordingly proposes an intelligent and multifunctional monitoring platform for reducing air pollution. Our results indicate that establishing systems for comprehensive network communication, cloud-based decision making, information tracking, and online management based on these technologies will improve the ambient air quality more efficiently. Furthermore, we examine several cases verifying the availability and performance of IoT ambient air quality management platforms.


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



Aerosol Air Qual. Res. 20 :2874 -2888 . https://doi.org/10.4209/aaqr.2020.05.0255  


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