Advertisement

Wireless Personal Communications

, Volume 108, Issue 2, pp 1227–1242 | Cite as

IoT Based Multimode Sensing Platform for Underground Coal Mines

  • P. K. MishraEmail author
  • Subhash Kumar
  • Pratik
  • Manish Kumar
  • Jitendra Kumar
Article
  • 38 Downloads

Abstract

Real-time information of the underground environment plays a vital role for underground coal mines. For this purpose, a number of systems have been developed by earlier researchers. However, the application of IoT is very limited due to the nonexistence of TCP/IP in underground coal mines. Therefore, attempts have been made to develop an IP based multimode sensing platform for realizing the vision of IoT in underground coal mines. In the present development, a Zigbee based wireless sensor network (WSN) has been initially established and extended to IoT with IP enabled gateway. In addition, the data discard mechanism has been used to address the life span of the sensor network. A dashboard has been designed to access the data at the confluence of WSN and the gateway. Further, an android app has been developed for retrieving the data using the corresponding IP address. The data have also been visualized by the web browser in the same fashion. Finally, the full-scale IoT system has been tested and it is evident from the obtained results that the response of the system is in agreement.

Keywords

WSN Internet of things Underground coal mines Sensing platform 

Notes

Acknowledgements

The authors are grateful to the Director, CSIR–Central Institute of Mining and Fuel Research, Dhanbad, India for his support as well as permitting the authors to publish the paper. The research work has been carried out for the Project ESC0112.

References

  1. 1.
    Ramlu, M. A. (2007). Mine fires. In Mine disaster and mine rescue, Second ed., University Press (India) Pvt. Ltd., Hyderabad, India, pp. 2–79.Google Scholar
  2. 2.
    Zhao, C., Liu, F., & Hai, X. (2013). An application of wireless sensor networks in underground coal mine. International Journal of Future Generation Communication and Networking, 6(5), 117–126.  https://doi.org/10.14257/ijfgcn.2013.6.5.11.CrossRefGoogle Scholar
  3. 3.
    Tan, W., Wang, Q., Huang, H., Guo, Y., & Zhang, G. (2007). Mine fire detection system based on wireless sensor network. In Proceedings of IEEE 2007 international conference on information acquisition.  https://doi.org/10.1109/icia.2007.4295715.
  4. 4.
    Qandour, A., Habibi, D., & Ahmad, I. (2012). Applied application of sensor networks in underground mines. In Proceedings of 9th IEEE international conference on networking, sensing and control (ICNSC).  https://doi.org/10.1109/icnsc.2012.6204926.
  5. 5.
    Murphy, J. N., & Parkinson, H. E. (1978). Underground mine communication. Proceedings of the IEEE, 66(1), 26–50.  https://doi.org/10.1109/PROC.1978.10836.CrossRefGoogle Scholar
  6. 6.
    Molina, S., Soto, I., & Carrasco, R. (2011). Detection of gases and collapses in underground mines using WSN. In Proceedings of IEEE international conference on industrial technology (ICIT), 2011.  https://doi.org/10.1109/icit.2011.5754376.
  7. 7.
    Bandyopadhyay, L. K., Chaulya, S. K., & Mishra, P. K. (2010). Wireless communication for underground mines: RFID based sensor networking, Springer.  https://doi.org/10.1007/978-0-387-98165-9.
  8. 8.
    Serhan, Y., Sabin, G., Arslan, H., & Robin, M. (2009). Underground mine communications: A survey. IEEE Communications Surveys and Tutorials, 11(3), 125–142.  https://doi.org/10.1109/SURV.2009.090309.CrossRefGoogle Scholar
  9. 9.
    Chaulya, S. K., & Prasad, G. M. (2016). Sensing and monitoring technologies for mines and hazardous areas: Monitoring and prediction technologies. Amsterdam: Elsevier.Google Scholar
  10. 10.
    Karl Zipf, R., Marchewka, W., Mohamed K., Addis, J., & Karnack, F. (2013). Tube bundle system for monitoring of coal mine atmosphere. Mining Engineering May; 65(5): 57–63. PMCID: PMC4545479.Google Scholar
  11. 11.
    Timko, R. J., & Derick, R. L. (2006). Methods to determine the status of mine atmospheres—an overview. Journal of Mine Ventilation Society South African, 59(2), 46–55.Google Scholar
  12. 12.
    Li, M., & Liu, Y. (2007). Underground structure monitoring with wireless sensor networks. In Proceedings of international conference of information processing in sensor network (IPSN). http://www.cse.ust.hk/~liu/Li-SASA.pdf.
  13. 13.
    Gungor, V. C., & Hancke, G. P. (2009). Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Transactions on Industrial Electronics, 56(10), 4258–4265.CrossRefGoogle Scholar
  14. 14.
    Guang-zhu, C., Chun-feng, S., & Li-juan, Z. (2009). Design and performance analysis of wireless sensor network location node system for underground mine. Mining Science and Technology, 19(2009), 0813–0818.Google Scholar
  15. 15.
    Bhattacharjee, S., Roy, P., Ghosh, S., Misra, S., & Obaidat, M. S. (2012). Wireless sensor network-based fire detection, alarming, monitoring and prevention system for Bord-and-Pillar coal mines. Journal of Systems and Software, 85(3), 571–581.  https://doi.org/10.1016/j.jss.2011.09.015.CrossRefGoogle Scholar
  16. 16.
    Sohraby, K., Minoli, D., & Znati, T. (2007). Wireless sensor networks technology. Protocols and Applications: Wiley.CrossRefGoogle Scholar
  17. 17.
    Mishra, P. K., & Kumar, S. (2017). Wireless sensor network for underground mining services applications. In I. G. I. Global (Ed.), Handbook of research on wireless sensors network trends, technologies, and application (pp. 505–530). USA: PA.Google Scholar
  18. 18.
    Perera, C., Liu, C. H., Jayawardena, S., & Chen, M. (2014). A survey on internet of things from industrial market perspective. IEEE Access, 2, 1660–1679.  https://doi.org/10.1109/ACCESS.2015.2389854.CrossRefGoogle Scholar
  19. 19.
    Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. (2014). A vision of IoT: Applications, challenges, and opportunities with china perspective. IEEE Internet of Things Journal, 1(4), 349–359.  https://doi.org/10.1109/JIOT.2014.2337336.CrossRefGoogle Scholar
  20. 20.
    Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communication Surveys & Tutorials, 17(4), Fourth Quarter, pp. 2347–2376.  https://doi.org/10.1109/comst.2015.2444095.
  21. 21.
    Kumar, S., Mishra, P. K., & Kumar, J. (2017). Synergistic use of artificial neural network for the detection of underground coal fires. Combustion Science and Technology, 189(9), 1527–1539.CrossRefGoogle Scholar
  22. 22.
    Kumar, S., Mishra, P. K., Pratik, Kumar, M., & Kumar, J. (2017) Coactive application of environmental sensors for detection and assessment of spontaneous combustion in underground coal mines. In Proceedings of IEEE international conference on energy, communication, data analytics and soft computing (ICECDS’17), August 1–2, Issue V, pp. 112–117.Google Scholar
  23. 23.
    Singh, R. D. (1997). Principles and practices of Modern coal mining. New Age International (P) Ltd., Publishers, New Delhi, India, First Edition, 1997.Google Scholar
  24. 24.
  25. 25.
    Faludi, R. (2010). Building wireless sensor networks (Vol. 1). CA: O’Reilly Media Inc.Google Scholar
  26. 26.
    Salman, N., Rasool, I., & Kemp, A. H. (2010). Overview of the IEEE 802.15.4 standards family for low rate wireless personal area networks. In 7th international symposium on wireless communication systems (ISWCS) 2010, York, UK, 19–22 Sept. pp. 701–705.  https://doi.org/10.1109/iswcs.2010.5624516.
  27. 27.
  28. 28.
    Microsoft Visual Studio 2015, Version 14.0.25431.01.Google Scholar
  29. 29.
    Android studio 2.3.0, March 2017.Google Scholar
  30. 30.
    Zhang, X., Fang, J., & Meng, F. (2016). An Efficient node localization approach with RSSI for randomly deployed wireless sensor networks. Journal of Electrical and Computer Engineering, Article ID 2080854, 11 pages, http://dx.doi.org/10.1155/2016/2080854.

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.CSIR-Central Institute of Mining and Fuel ResearchDhanbadIndia
  2. 2.Indian Institute of Technology (ISM)DhanbadIndia

Personalised recommendations