Healthiness and Safety of Smart Environments through Edge Intelligence and Internet of Things Technologies

被引:0
作者
Ul Islam, Rafiq [1 ]
Mazzei, Pasquale [1 ,2 ]
Savaglio, Claudio [1 ]
机构
[1] Univ Calabria, DIMES Dept, I-87036 Arcavacata Di Rende, Italy
[2] Neosperience SPA, I-87036 Arcavacata Di Rende, Italy
关键词
smart environment; edge intelligence; air quality monitoring; air sanitization; internet of things;
D O I
10.3390/fi16100373
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart environments exploit rising technologies like Internet of Things (IoT) and edge intelligence (EI) to achieve unseen effectiveness and efficiency in every tasks, including air sanitization. The latter represents a key preventative measure-made even more evident by the COVID-19 pandemic-to significantly reduce disease transmission and create healthier and safer indoor spaces, for the sake of its occupants. Therefore, in this paper, we present an IoT-based system aimed at the continuous monitoring of the air quality and, through EI techniques, at the proactively activation of ozone lamps, while ensuring safety in sanitization. Indeed, these devices ensure extreme effectiveness in killing viruses and bacteria but, due to ozone toxicity, they must be properly controlled with advanced technologies for preventing occupants from dangerous exposition as well as for ensuring system reliability, operational efficiency, and regulatory compliance.
引用
收藏
页数:15
相关论文
共 34 条
[21]  
Minqiu Zhou, 2020, CNIOT2020: Proceedings of the 2020 International Conference on Computing, Networks and Internet of Things, P89, DOI 10.1145/3398329.3398342
[22]  
Moharana Bikash Kumar, 2020, 2020 Proceedings of the International Conference on Communication and Signal Processing (ICCSP), P191, DOI 10.1109/ICCSP48568.2020.9182330
[23]   Industrial Frameworks for Internet of Things: A Survey [J].
Paniagua, Cristina ;
Delsing, Jerker .
IEEE SYSTEMS JOURNAL, 2021, 15 (01) :1149-1159
[24]  
Reconsider UV -C LED Lifetime for Disinfection Based on Development Decisions (MAGAZINE), about us
[25]   Edge Intelligence for Industrial IoT: Opportunities and Limitations [J].
Savaglio, Claudio ;
Mazzei, Pasquale ;
Fortino, Giancarlo .
5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023, 2024, 232 :397-405
[26]   A Simulation-driven Methodology for IoT Data Mining Based on Edge Computing [J].
Savaglio, Claudio ;
Fortino, Giancarlo .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[27]  
Sharma A., 2021, Int. J. Basic Clin. Pharmacol, V10, P1038, DOI [10.18203/2319-2003.ijbcp20212935, DOI 10.18203/2319-2003.IJBCP20212935]
[28]  
Tapashetti A, 2016, IEEE GLOB HUMANIT C, P682, DOI 10.1109/GHTC.2016.7857352
[29]  
Wittig A., 2023, Amazon Web Services in Action: An In-Depth Guide to AWS
[30]   Edge Intelligence: Empowering Intelligence to the Edge of Network [J].
Xu, Dianlei ;
Li, Tong ;
Li, Yong ;
Su, Xiang ;
Tarkoma, Sasu ;
Jiang, Tao ;
Crowcroft, Jon ;
Hui, Pan .
PROCEEDINGS OF THE IEEE, 2021, 109 (11) :1778-1837