IDEAS home Printed from https://ideas.repec.org/a/igg/jtd000/v11y2020i2p45-65.html
   My bibliography  Save this article

Real Time Entry Prohibition System for Coalmines

Author

Listed:
  • Urmila Shrawankar

    (G.H. Raisoni College of Engineering, Nagpur, India)

  • Rahul Neware

    (G.H. Raisoni College of Engineering, Nagpur, India)

  • Pranay Mangulkar

    (G.H. Raisoni College of Engineering, Nagpur, India)

Abstract

This article focuses on the hazardous conditions prevailing in underground coal mines and the decision to prohibit entry, when conditions are adverse. Thus, the ongoing observation framework is helpful for ascertaining the conditions for working in underground coal mines and for essential safety and well-being measures. The advancements in WSN lead to advancements in wireless communications. The various sensors are deployed at the location and sense the environment and provide recent activities of the underground coal mines. The sensors transmit the procured information to the base station, principally the A-D transformation. The sensors can be considered a hub to the base station. Wireless transmission is used to send the data to the user. The designed hardware and software systems are used for the identification of the parameters and as per the thresholds, the decision and the prohibition of workers before entering into the mine is decided. The ML system helps in checking the favorable conditions for working in underground mines. While experimenting, real-time sensor generated data is used.

Suggested Citation

  • Urmila Shrawankar & Rahul Neware & Pranay Mangulkar, 2020. "Real Time Entry Prohibition System for Coalmines," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 11(2), pages 45-65, April.
  • Handle: RePEc:igg:jtd000:v:11:y:2020:i:2:p:45-65
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTD.2020040104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jtd000:v:11:y:2020:i:2:p:45-65. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.