8 Citations (Scopus)

Abstract

Wind is a major factor that can inhibit the process of tracking the source of gas leakage by the olfactory mobile robot, as it can reduce and even remove the gas concentration. This will cause the robot to take a long time to find the source of the gas leak, even fails. Therefore, this study has implemented anemometer to help the robot to determine the direction of the gas source. A hot wire anemometer is a tool used to measure wind speed by utilizing heated wire filaments. The nickel wire is wrapped to a semiconductor temperature sensor and is supplied with a constant current resulting in a temperature of 60 °C. The Neural Network algorithm is used to determine wind direction based on the pattern of temperature change values on four anemometers. The experimental results showed that this anemometer has an accuracy rate of 88%. In addition, the application of anemometer on the olfactory mobile robot can help the robot's movement towards the target so that it can improve the success rate.

Original languageEnglish
Title of host publication2018 International Conference on Information and Communications Technology, ICOIACT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages412-417
Number of pages6
ISBN (Electronic)9781538609545
DOIs
Publication statusPublished - 26 Apr 2018
Event1st International Conference on Information and Communications Technology, ICOIACT 2018 - Yogyakarta, Indonesia
Duration: 6 Mar 20187 Mar 2018

Publication series

Name2018 International Conference on Information and Communications Technology, ICOIACT 2018
Volume2018-January

Conference

Conference1st International Conference on Information and Communications Technology, ICOIACT 2018
Country/TerritoryIndonesia
CityYogyakarta
Period6/03/187/03/18

Keywords

  • Hot-wire anemometer
  • Neural network
  • Olfactory mobile robot

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