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  • 标题:Development of IoT Technologies for Air Pollution Prevention and Improvement
  • 本地全文:下载
  • 作者:Yu-Lin Zhao ; Jiali Tang ; Han-Pang Huang
  • 期刊名称:Aerosol and Air Quality Research
  • 印刷版ISSN:1680-8584
  • 出版年度:2020
  • 卷号:20
  • 期号:12
  • 页码:2874-2888
  • DOI:10.4209/aaqr.2020.05.0255
  • 语种:English
  • 出版社:Chinese Association for Aerosol Research in Taiwan
  • 摘要: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.
  • 关键词:Internet of Things (IoT); Ambient air pollution; RFID; M2M; Sensor networks; IoT platform.
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