IDEAS home Printed from https://ideas.repec.org/a/gam/jresou/v9y2020i2p16-d316353.html
   My bibliography  Save this article

Mine Machine Radar Sensor for Emergency Escape

Author

Listed:
  • Chad Hargrave

    (CSIRO, Technology Court, Pullenvale QLD 4069, Australia)

  • Lance Munday

    (CSIRO, Technology Court, Pullenvale QLD 4069, Australia)

  • Gareth Kennedy

    (Simtars, Robert Smith St Redbank, Queensland 4300, Australia)

  • André de Kock

    (Simtars, Robert Smith St Redbank, Queensland 4300, Australia)

Abstract

This paper presents the results of recent work to develop and trial a mine machine radar sensor for underground coal mine vehicles. There is an urgent industry need for an integrated solution to the problem of operating an underground vehicle in conditions of dense ambient dust and/or smoke, such as may occur in underground coal mines after a fire or explosion. Under these conditions, sensors such as cameras and lidar offer limited assistance due to their inability to penetrate thick dust. Thermal infrared can penetrate dust but still results in poor vision, as there is insufficient temperature contrast between the tunnel walls and the ambient air. Microwave radar sensors are able to penetrate the dust, and suitable radar sensors have been developed for use in the automation industry. Adapting such sensors for use in an underground coal mining environment was the focus of this research effort, and involved trialing a suitable sensor in dust and smoke chambers as well as trials in an underground coal mine with introduced dust. Data processing and the development of a suitable user interface were key aspects of the research. Since any sensor would have to operate in an explosive atmosphere, a related research work developed a flameproof dielectric enclosure to allow the use of the radar in the mine environment.

Suggested Citation

  • Chad Hargrave & Lance Munday & Gareth Kennedy & André de Kock, 2020. "Mine Machine Radar Sensor for Emergency Escape," Resources, MDPI, vol. 9(2), pages 1-15, February.
  • Handle: RePEc:gam:jresou:v:9:y:2020:i:2:p:16-:d:316353
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2079-9276/9/2/16/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2079-9276/9/2/16/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jresou:v:9:y:2020:i:2:p:16-:d:316353. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.