TY - GEN
T1 - Monitoring of Carbon Monoxide and Sulfur Dioxide Using Electrochemical Gas Sensors Based on IoT
AU - Rivai, Muhammad
AU - Rahmannuri, Handi
AU - Rohfadli, Muhammad
AU - Pirngadi, Harris
AU - Tasripan,
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
KW - CO
KW - Electrochemical gas sensors
KW - IoT
KW - SO2
UR - http://www.scopus.com/inward/record.url?scp=85091700371&partnerID=8YFLogxK
U2 - 10.1109/ISITIA49792.2020.9163731
DO - 10.1109/ISITIA49792.2020.9163731
M3 - Conference contribution
AN - SCOPUS:85091700371
T3 - Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020
SP - 61
EP - 65
BT - Proceedings - 2020 International Seminar on Intelligent Technology and Its Application
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020
Y2 - 22 July 2020 through 23 July 2020
ER -