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

Weiqi Hong, Karim H. Moussa*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-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 languageEnglish
Title of host publication2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-80
Number of pages4
ISBN (Electronic)9798350394160
DOIs
Publication statusPublished - Oct 2023
Event5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023 - Macau, China
Duration: 6 Dec 20238 Dec 2023

Publication series

Name2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023

Conference

Conference5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023
Country/TerritoryChina
CityMacau
Period6/12/238/12/23

Keywords

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

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