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

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...

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Bibliographic Details
Published in2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS) pp. 77 - 80
Main Authors Hong, Weiqi, Moussa, Karim H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.12.2023
Subjects
Air pollution
Cloud platform
Economics
Embedded control
Gases
Harmful gas monitoring
Internet of Things
IOT
Memory
MQTT
Productivity
Protocols
Smart home
Web of Objects
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DOI10.1109/HDIS60872.2023.10499610

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Summary: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 VI 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.
DOI:10.1109/HDIS60872.2023.10499610