Design and Development of Air Quality Measurement with Early Warning Systems

Ahmad Fauzan Adziimaa*, Putri Yeni Aisyah, Nur Yulia Puspita

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A common problem in urban areas is the environmental issue of air pollution. Air pollution is the result of natural processes as well as human activities and activities that can lead to a decline in air quality. Although many people already know the risks of inhaling polluted air, it is often overlooked because there is still a lack of information about the real-time levels of inhaled compounds in the environment. Meanwhile, many effects from air pollution include difficulty breathing, coughing, asthma, emphysema to more severe illnesses. As the concentration of pollutants increases, the detection of concentrations of these compounds becomes important to prevent excess levels of hazardous compounds in the atmosphere. Therefore, it is necessary to measure and monitor the air quality that is equipped with an early warning system. In this study, a component validation test has been carried out where carbon dioxide levels measured by NDIR sensors are 99.33%, carbon monoxide levels measured by MQ-7 sensors with 98.85%, and DHT22 sensors have 99.72% accuracy for temperature variables and 98.85% for humidity variable. Online monitoring systems displayed on websites and offline monitoring systems using TFT LCD successfully display CO, CO, NO, temperature, and humidity. In addition, the initial warning system functions according to the parameters of each condition. The monitoring system that has been tested has performance with an average delay of 6 to 7 seconds between online and offline monitoring.

Original languageEnglish
Title of host publication2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages171-176
Number of pages6
ISBN (Electronic)9798350309225
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Lombok, Indonesia
Duration: 14 Nov 202315 Nov 2023

Publication series

Name2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

Conference

Conference2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Country/TerritoryIndonesia
CityLombok
Period14/11/2315/11/23

Keywords

  • Early Warning System
  • Monitoring Air Quality
  • Urban

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