A distributed user-oriented IoT-based Air Pollution Monitoring

Jose Jorge Figueroa Figueroa*, Hao Shen, Hamed Ahmadi, Berk Canberk

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

Environmental health services are paramount for ensuring the Quality of Life (QoL) in cities, with urban design playing a pivotal role. The rapid urbanization of cities globally has exacerbated air pollution, posing severe health risks to residents. Air quality is closely tied to human health, and elevated pollutant levels can lead to various illnesses, particularly affecting vulnerable populations. Indoor and outdoor air pollution is a leading cause of premature deaths in some regions. To address these challenges, governments and organizations are investing in air quality monitoring. This paper presents an IoT-based Air Pollution Monitor (APMIoT) comprising Raspberry Pico W embedded wireless systems and multiple sensors. These APMIoT modules transmit real-time data to a cloud server architecture, enabling the computation of pollutant indices and an Air Quality Index (AQI). Users can monitor and compare air quality data through an intuitive dashboard interface. The APMIoT includes key sensor modules for measuring particle matter, humidity, temperature, GPS coordinates, total volatile organic compounds (TVOC), and CO2 levels. It utilizes FreeRTOS for modular programming, ensuring independent handling of various processes. ThingSpeak serves as the cloud server, collecting, analysing, and visualizing data from single and multiple APMIoT devices. Custom analytics provide in-depth pollutant analysis and AQI representation. Testing demonstrates system reliability and alignment with external AQI data sources. This paper underscores the importance of open-source, customizable air quality monitoring systems for both indoor and outdoor settings. It offers a robust tool for environmental monitoring and air quality assessment, essential for managing urban health and well-being effectively.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar270-275
Sayfa sayısı6
ISBN (Elektronik)9798350303490
DOI'lar
Yayın durumuYayınlandı - 2023
Harici olarak yayınlandıEvet
Etkinlik2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 - Edinburgh, United Kingdom
Süre: 6 Kas 20238 Kas 2023

Yayın serisi

AdıIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
ISSN (Elektronik)2378-4873

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???event.eventtypes.event.conference???2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Ülke/BölgeUnited Kingdom
ŞehirEdinburgh
Periyot6/11/238/11/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

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