Abstract

In Indonesia, the number of motorized vehicles has increased from year to year. These vehicles are considered as the main source of air pollution, because it produces carbon monoxide (CO), sulfur dioxide (SO2), and other substances. Exposure to this pollution can have an adverse health effects, even death. This study has developed an air pollution monitoring system based on Internet of Things (IoT) technology, especially for CO and SO2 gases. This system involves CO-B4 and SO2-BF electrochemical gas sensors, ESP8266 NodeMCU development board, and the Blynk application on smartphone. The experimental results show that the sensor response tends to be linear to the gas concentration. This system is able to display the location and concentration of gas in real-time for open field applications. Based on measurements show that there is a low gas concentration in the morning. Significant increases in gas concentrations occurred around 07.00 o'clock, i.e. 31.84 ppm and 5.37 ppm for CO and SO2, respectively. Exposure to high gas concentrations appears to be maintained during the day as a busy traffic. A significant increase in gas concentration also occurred around 17.00 o'clock, i.e. 35.69 ppm and 5.27 ppm, for CO and SO2, respectively.

Original languageEnglish
Title of host publicationProceedings - 2020 International Seminar on Intelligent Technology and Its Application
Subtitle of host publicationHumanification of Reliable Intelligent Systems, ISITIA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-65
Number of pages5
ISBN (Electronic)9781728174136
DOIs
Publication statusPublished - Jul 2020
Event2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 - Virtual, Online, Indonesia
Duration: 22 Jul 202023 Jul 2020

Publication series

NameProceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020

Conference

Conference2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020
Country/TerritoryIndonesia
CityVirtual, Online
Period22/07/2023/07/20

Keywords

  • CO
  • Electrochemical gas sensors
  • IoT
  • SO2

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