Intelligent Wearable Device for Coal Miners

  • Authors

    • P Prabhu
    • Umang .
    • Jyothi Jayakumar
    • Ch Phanindra Kumar
    • . .
    2018-07-20
    https://doi.org/10.14419/ijet.v7i3.12.16453
  • wearable device, methane and carbon monoxide gas sensor, IoT, RFID.
  • Abstract

    In this paper we are designing an intelligent wearable device for coal miners. This proposed system not only helps the workers in telling about the poisonous gases that are present but also tracks them if any mishap occurs. The device is provided with methane and carbon monoxide gas sensor. It ensures the supervision based on IoT (Internet of Things). We make use of mainly NRF module and RFID technology. RFID can easily track a person in case of an accident. Use of IoT helps us to make the database as well as helps us in communication to the nearest hospital if help needed.

     

     

  • References

    1. [1] “Intelligent coal mine monitoring system based on the Internet of Thingsâ€,Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference

      [2] “SMART JACKET FOR THE COAL MINERS BASED ON WIRELESS SENSOR NETWORKS & WoT†International Journal on Application in Information and Communication Engineering Volume 3:Issue 1: January 2017 .

      [3] “Rescue System for Coal Mine Workers using Different Sensors Based on GSM and RF-PRO†International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 7, July 2014.

      [4] “Coal Mining Safety using IoT†Imperial Journal of Interdisciplinary Research IJIR(vol 3)

      [5] Intelligent Coal Mine Monitoring System based on the Internet of Things International School of Software, Wuhan University, Wuhan, China 2School of Electronic Engineering, Dublin City University, Dublin, Ireland

  • Downloads

  • How to Cite

    Prabhu, P., ., U., Jayakumar, J., Phanindra Kumar, C., & ., . (2018). Intelligent Wearable Device for Coal Miners. International Journal of Engineering & Technology, 7(3.12), 677-680. https://doi.org/10.14419/ijet.v7i3.12.16453

    Received date: 2018-07-28

    Accepted date: 2018-07-28

    Published date: 2018-07-20