• DocumentCode
    715564
  • Title

    Unmanned aerial gas leakage localization and mapping using microdrones

  • Author

    Gallego, Vanesa ; Rossi, Maurizio ; Brunelli, Davide

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We present an autonomous-mobile gas detection system to assess the measurement of specific gas concentrations in a wide range of outdoor applications. This is especially of interest in those harsh environments where it is impractical or uneconomical to install a fixed array of gas sensors. The system is able to work in potentially hazardous emissions areas - toxic gas leakages - in completely secure working conditions for the operators. Used as payload on a Unmanned Aerial Vehicle (UAV), it can provide gas measurements with adaptive and high resolution sampling rates in accordance to gas concentration and carrier speed. Each measurement is associated with the location provided by the embedded GPS module. Remarkable features are the small size, the low power consumption and costs, compared to traditional systems. Finally, we presents a novel approach to optimize the speed of the vehicle and the system power consumption based on gas sampling frequency, which allows lifetime maximization and leakage detection reliability.
  • Keywords
    Global Positioning System; autonomous aerial vehicles; gas sensors; leak detection; power consumption; autonomous-mobile gas detection; carrier speed; embedded GPS module; gas concentrations; gas sampling frequency; gas sensors; harsh environments; leakage detection reliability; lifetime maximization; mapping; microdrones; outdoor applications; payload; power consumption; sampling rates; unmanned aerial gas leakage localization; unmanned aerial vehicle; Gas detectors; Gases; Global Positioning System; Mathematical model; Mobile communication; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2015 IEEE
  • Conference_Location
    Zadar
  • Type

    conf

  • DOI
    10.1109/SAS.2015.7133629
  • Filename
    7133629