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Underground Emergency Escape System Based on the Internet of Things

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Book cover Electrical, Information Engineering and Mechatronics 2011

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 138))

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Abstract

To have dynamic emergency escape instructions to guide the trapped workers, underground emergency escape system based on the internet of things is studied. It uses nodes to monitor the concentration of gas in coal mines. The nodes, distributed in the mine, are the component units of the wireless network. If the concentration exceeds the warning line, it broadcasts an emergency signal to the whole network and calculates the next safe evacuation direction through the data collected by real-time algorithm and displays the direction on the LED dynamically. By then, the network shows a number of security paths pointed by all the individual nodes connected together. So it most likely avoids the dangerous areas consisted by disaster nodes and guides people to flee the danger zone.

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References

  1. Jang W, Healy W, Skibniewski M (2008) Wireless sensor networks as part of a web based building environmental monitoring system. Autom Constr 17:729–736

    Article  Google Scholar 

  2. Stallings W (2005) Wireless communications and networks. 2nd edn. Pearson/Pretice Hall, New Jersey

    Google Scholar 

  3. Li JSM, Chow WKN (2003) Numerical studies on performance evaluation of tunnel ventilation safety systems. Tunn Undergr Space Technol 18:435–452

    Article  MATH  Google Scholar 

  4. Pomroy WH, Carigiet AM (1995) An analysis of underground coal mine-fire incidents in the United States from 1978 through 1992. In: Proceedings of the seventh US mine ventilation symposium, Lexington KY U S A pp 5–7

    Google Scholar 

  5. Simcox S, Wilkes NS, Jones IP (1992) Computer simulation of the flows of hot gases from fire at King’s Cross underground station. Fire Safety J 18:49–82

    Article  Google Scholar 

  6. Wala AM, Dziurzynski W, Tracz J, Wooton D (1995) Validation study of the mine-fire simulation model. In: Proceedings of the seventh US mine ventilation symposium, Lexington pp 5–7

    Google Scholar 

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Acknowledgments

This work is supported by the Research Foundation of Education Bureau of Henan Province (Grant No 2009B510008) and Doctorate Program of Henan Polytechnic University (Grant No B2009-27).

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Correspondence to Hui Li .

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© 2012 Springer-Verlag London Limited

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Li, H., Sun, Y., Zhang, L. (2012). Underground Emergency Escape System Based on the Internet of Things. In: Wang, X., Wang, F., Zhong, S. (eds) Electrical, Information Engineering and Mechatronics 2011. Lecture Notes in Electrical Engineering, vol 138. Springer, London. https://doi.org/10.1007/978-1-4471-2467-2_147

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  • DOI: https://doi.org/10.1007/978-1-4471-2467-2_147

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2466-5

  • Online ISBN: 978-1-4471-2467-2

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