Abstract

Hydrogen gas leaks in a closed room can pose a fire hazard and poor air quality. The concentration of hydrogen gas of 4-75% in the air is highly flammable and can cause explosions. An electronic nose system consisting of gas sensors array and a neural network has been built to detect hydrogen gas leaks in a room. Data from each sensor is used as input for the classification of gases on the neural network. Proportional-integral-derivative (PID) method is applied to control the exhaust fan to eliminate hydrogen gas leaks in the room. The electronic nose and PID control are implemented on the Arduino Nano microcontroller. The experiment results showed that this system could classify several gases such as hydrogen gas, vehicle smoke, and perfume with a success rate of 86.67%. The PID control becomes active when hydrogen gas with concentrations above 100 ppm has been classified. These results can minimize and prevent hydrogen gas leaks and maintain good indoor air quality.

Original languageEnglish
Title of host publication2022 1st International Conference on Information System and Information Technology, ICISIT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-192
Number of pages6
ISBN (Electronic)9781665402002
DOIs
Publication statusPublished - 2022
Event1st International Conference on Information System and Information Technology, ICISIT 2022 - Virtual, Online, Indonesia
Duration: 27 Jul 202228 Jul 2022

Publication series

Name2022 1st International Conference on Information System and Information Technology, ICISIT 2022

Conference

Conference1st International Conference on Information System and Information Technology, ICISIT 2022
Country/TerritoryIndonesia
CityVirtual, Online
Period27/07/2228/07/22

Keywords

  • PID control
  • air quality
  • electronic nose
  • hydrogen gas leak

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