Revolutionizing Indoor Air Quality: An Intelligent IoT Solution for Pollution Detection

Weiqi Hong; Karim H. Moussa

doi:10.1109/HDIS60872.2023.10499610

Revolutionizing Indoor Air Quality: An Intelligent IoT Solution for Pollution Detection

Weiqi Hong
, Karim H. Moussa^*

^*Corresponding author for this work

School of Internet of Things

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Indoor air pollution is a persistent and significant issue with detrimental effects on human health, including respiratory problems, allergies, carcinogenic risks, and impacts on the nervous and cardiovascular systems. The presence of harmful gases resulting from human activities further exacerbates these health concerns, leading to reduced productivity, increased morbidity, and economic losses. This paper aims to address the current challenges of indoor air pollution by proposing a practical Internet of Things (IoT)-based online monitoring system. The system comprises three key components: (1) the design and implementation of sensor-based data collection for indoor air quality using Raspberry Pi, (2) the development of network protocols and data storage utilizing the Ali cloud platform, and (3) the creation of user-friendly web visualization and UI design. By integrating IoT technology, the poposed air quality control system can achieve enhanced intelligence and performance, making it a valuable tool for improving indoor air quality.

Original language	English
Title of host publication	2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	77-80
Number of pages	4
ISBN (Electronic)	9798350394160
DOIs	https://doi.org/10.1109/HDIS60872.2023.10499610
Publication status	Published - Oct 2023
Event	5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023 - Macau, China Duration: 6 Dec 2023 → 8 Dec 2023

Publication series

Name	2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023

Conference

Conference	5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023
Country/Territory	China
City	Macau
Period	6/12/23 → 8/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cloud platform
Embedded control
Harmful gas monitoring
IOT
MQTT
Smart home
Web of Objects

Access to Document

10.1109/HDIS60872.2023.10499610

Cite this

Hong, W., & Moussa, K. H. (2023). Revolutionizing Indoor Air Quality: An Intelligent IoT Solution for Pollution Detection. In 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023 (pp. 77-80). (2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HDIS60872.2023.10499610

Hong, Weiqi ; Moussa, Karim H. / Revolutionizing Indoor Air Quality : An Intelligent IoT Solution for Pollution Detection. 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 77-80 (2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023).

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title = "Revolutionizing Indoor Air Quality: An Intelligent IoT Solution for Pollution Detection",

abstract = "Indoor air pollution is a persistent and significant issue with detrimental effects on human health, including respiratory problems, allergies, carcinogenic risks, and impacts on the nervous and cardiovascular systems. The presence of harmful gases resulting from human activities further exacerbates these health concerns, leading to reduced productivity, increased morbidity, and economic losses. This paper aims to address the current challenges of indoor air pollution by proposing a practical Internet of Things (IoT)-based online monitoring system. The system comprises three key components: (1) the design and implementation of sensor-based data collection for indoor air quality using Raspberry Pi, (2) the development of network protocols and data storage utilizing the Ali cloud platform, and (3) the creation of user-friendly web visualization and UI design. By integrating IoT technology, the poposed air quality control system can achieve enhanced intelligence and performance, making it a valuable tool for improving indoor air quality.",

keywords = "Cloud platform, Embedded control, Harmful gas monitoring, IOT, MQTT, Smart home, Web of Objects",

author = "Weiqi Hong and Moussa, \{Karim H.\}",

note = "Publisher Copyright: {\textcopyright}2023 IEEE.; 5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023 ; Conference date: 06-12-2023 Through 08-12-2023",

year = "2023",

month = oct,

doi = "10.1109/HDIS60872.2023.10499610",

language = "English",

series = "2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "77--80",

booktitle = "2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023",

}

Hong, W & Moussa, KH 2023, Revolutionizing Indoor Air Quality: An Intelligent IoT Solution for Pollution Detection. in 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023. 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 77-80, 5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023, Macau, China, 6/12/23. https://doi.org/10.1109/HDIS60872.2023.10499610

Revolutionizing Indoor Air Quality: An Intelligent IoT Solution for Pollution Detection. / Hong, Weiqi; Moussa, Karim H.
2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 77-80 (2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Revolutionizing Indoor Air Quality

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AU - Hong, Weiqi

AU - Moussa, Karim H.

PY - 2023/10

Y1 - 2023/10

N2 - Indoor air pollution is a persistent and significant issue with detrimental effects on human health, including respiratory problems, allergies, carcinogenic risks, and impacts on the nervous and cardiovascular systems. The presence of harmful gases resulting from human activities further exacerbates these health concerns, leading to reduced productivity, increased morbidity, and economic losses. This paper aims to address the current challenges of indoor air pollution by proposing a practical Internet of Things (IoT)-based online monitoring system. The system comprises three key components: (1) the design and implementation of sensor-based data collection for indoor air quality using Raspberry Pi, (2) the development of network protocols and data storage utilizing the Ali cloud platform, and (3) the creation of user-friendly web visualization and UI design. By integrating IoT technology, the poposed air quality control system can achieve enhanced intelligence and performance, making it a valuable tool for improving indoor air quality.

AB - Indoor air pollution is a persistent and significant issue with detrimental effects on human health, including respiratory problems, allergies, carcinogenic risks, and impacts on the nervous and cardiovascular systems. The presence of harmful gases resulting from human activities further exacerbates these health concerns, leading to reduced productivity, increased morbidity, and economic losses. This paper aims to address the current challenges of indoor air pollution by proposing a practical Internet of Things (IoT)-based online monitoring system. The system comprises three key components: (1) the design and implementation of sensor-based data collection for indoor air quality using Raspberry Pi, (2) the development of network protocols and data storage utilizing the Ali cloud platform, and (3) the creation of user-friendly web visualization and UI design. By integrating IoT technology, the poposed air quality control system can achieve enhanced intelligence and performance, making it a valuable tool for improving indoor air quality.

KW - Cloud platform

KW - Embedded control

KW - Harmful gas monitoring

KW - IOT

KW - MQTT

KW - Smart home

KW - Web of Objects

UR - https://www.scopus.com/pages/publications/85191754459

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DO - 10.1109/HDIS60872.2023.10499610

M3 - Conference Proceeding

AN - SCOPUS:85191754459

T3 - 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Hong W, Moussa KH. Revolutionizing Indoor Air Quality: An Intelligent IoT Solution for Pollution Detection. In 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 77-80. (2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023). doi: 10.1109/HDIS60872.2023.10499610

Revolutionizing Indoor Air Quality: An Intelligent IoT Solution for Pollution Detection

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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