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Communication Experiment of Wi-Fi Direct for Underground Mine Environment Visualization System

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Proceedings of Geotechnical Challenges in Mining, Tunneling and Underground Infrastructures (ICGMTU 2021)

Abstract

One of the main problems in the modern metal mining sector is the depletion of near-surface deposits, the decline in grades. Available deposits near to surface are available and the focus of the industry is shift to deep underground deposits. However, with increase in mining depth risk of rock falls and rock bursts increases concurrently. In order to solve these problems, “smart mining” technology has been introduced. “Smart mining” is an area that combines ICT and intelligent resource development. We have developed a communication system that plays a fundamental role in this field, and have conducted communication tests. Communication systems in underground mines are essential for better safety and productivity. In this research, wireless sensor networks (WSNs) have been proposed to record and transfer environmental and worker position data. This research proposes a communication system using “Wi-Fi Direct”, in which data loggers and mobile terminals (i.e., smartphones) transfer data between nodes. According to the technology, data is transmitted from a fixed underground base unit to a worker’s mobile terminal. Next, these datasets transferred to a data logger on surface once the worker gets close enough, the data transmitted wirelessly between surface and underground locations. To verify the feasibility of this system, the communication range, transfer speed, and received signal strength indicator (RSSI) in different environments were measured.

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References

  1. Khanzode VV, Maiti J, Ray PK (2011) A methodology for evaluation and monitoring of recurring hazards in underground coal mining. Saf Sci 49(8–9):1172–1179. https://doi.org/10.1016/j.ssci.2011.03.009

    Article  Google Scholar 

  2. Saleh JH, Cummings AM (2011) Safety in the mining industry and the unfinished legacy of mining accidents: safety levers and defense-in-depth for addressing mining hazards. Saf Sci 49(6):764–777. https://doi.org/10.1016/j.ssci.2011.02.017

    Article  Google Scholar 

  3. Funato A, Ito T (2017) A new method of diametrical core deformation analysis for in-situ stress measurements. Int J Rock Mech Min Sci 91:112–118. https://doi.org/10.1016/j.ijrmms.2016.11.002

    Article  Google Scholar 

  4. He MC, Tao ZG, Zhang B (2009) Application of remote monitoring technology in landslides in the Luoshan mining area. Min Sci Technol 19(5):609–614. https://doi.org/10.1016/S1674-5264(09)60113-7

    Article  Google Scholar 

  5. Zhang QB, He L, Zhu WS (2016) Displacement measurement techniques and numerical verification in 3D geomechanical model tests of an underground cavern group. Tunn Undergr Sp Technol 56:54–64. https://doi.org/10.1016/J.TUST.2016.01.029

    Article  Google Scholar 

  6. Moridi MA, Sharifzadeh M, Kawamura Y, Jang HD (2018) Development of wireless sensor networks for underground communication and monitoring systems (the cases of underground mine environments). Tunn Undergr Sp Technol 73:127–138. https://doi.org/10.1016/j.tust.2017.12.015

    Article  Google Scholar 

  7. Dohare YS, Maity T, Das PS, Paul PS (2015) Wireless communication and environment monitoring in underground coal mines – review. IETE Tech Rev 32(2):140–150. https://doi.org/10.1080/02564602.2014.995142

    Article  Google Scholar 

  8. Minhas UI, Naqvi IH, Qaisar S, Ali K, Shahid S, Aslam MA (2018) A WSN for monitoring and event reporting in underground mine environments. IEEE Syst J 12(1):485–496. https://doi.org/10.1109/JSYST.2016.2644109

    Article  Google Scholar 

  9. Bai C (2017) Application of WSN fire monitoring system in coal mining. Int J Online Eng 13(3):17–26. https://doi.org/10.3991/ijoe.v13i03.6856

    Article  Google Scholar 

  10. Reddy NS, Saketh MS, Dhar S (2016) Review of sensor technology for mine safety monitoring systems: a holistic approach. In: 2016 IEEE 1st international conference control measurements instrumentation, no Cmi, pp 429–434. https://doi.org/10.1109/CMI.2016.7413784

  11. Singh A, Singh UK, Kumar D (2018) IoT in mining for sensing, monitoring and prediction of underground mines roof support. In: Proceedings 4th IEEE international conference recent advanced information technology. RAIT 2018, pp 1–5. https://doi.org/10.1109/RAIT.2018.8389041

  12. Srivastava S, Singh M, Gupta S (2019) Wireless sensor network: a survey. In: 2018 international conference automation computing engineering. ICACE 2018, vol 38, pp 159–163. https://doi.org/10.1109/ICACE.2018.8687059

  13. Ikeda H, Kawamura Y, Tungol ZPL, Moridi MA, Jang H (2019) Implementation and verification of a Wi-Fi ad hoc communication system in an underground mine environment. J Min Sci 55(3):505–514. https://doi.org/10.1134/S1062739119035843

    Article  Google Scholar 

  14. Ikeda H, Kawamura Y, Tungol ZPL, Ito Y, Jang H (2018) Development of underground space communication systems using Wi-Fi ad hoc for smart mining. Geoinformatics 29(1):3–11. https://doi.org/10.6010/geoinformatics.29.1_3

    Article  Google Scholar 

  15. Ralston J, Reid D, Hargrave C, Hainsworth D (2014) Sensing for advancing mining automation capability: a review of underground automation technology development. Int J Min Sci Technol 24(3):305–310. https://doi.org/10.1016/j.ijmst.2014.03.003

    Article  Google Scholar 

  16. Diao J, Zhang G, Hu H, Zou Z, Zhang B (2015) Design and application of electrical fire monitoring system in mining industry. Int J Min Sci Technol 25(2):305–310. https://doi.org/10.1016/J.IJMST.2015.02.021

    Article  Google Scholar 

  17. Moridi MA et al (2015) Development of underground mine monitoring and communication system integrated ZigBee and GIS. Int J Min Sci Technol 25(5):811–818. https://doi.org/10.1016/j.ijmst.2015.07.017

    Article  Google Scholar 

  18. Li C, Li J, Hu L, Hou D (2015) Visualization and simulation model of underground mine fire disaster based on cellular automata. Appl Math Model 39(15):4351–4364. https://doi.org/10.1016/J.APM.2014.12.051

    Article  MathSciNet  Google Scholar 

  19. Wang W, Huang S, Wu X, Ma Q (2011) Calculation and management for mining loss and dilution under 3D visualization technical condition. J Softw Eng Appl 04(05):329–334. https://doi.org/10.4236/jsea.2011.45037

    Article  Google Scholar 

  20. Ju Y et al (2014) Visualization of the complex structure and stress field inside rock by means of 3D printing technology. Chin Sci Bull 59(36):5354–5365. https://doi.org/10.1007/s11434-014-0579-9

    Article  Google Scholar 

  21. Moridi MA, Kawamura Y, Sharifzadeh M, Chanda EK, Jang H (2014) An investigation of underground monitoring and communication system based on radio waves attenuation using ZigBee. Tunn Undergr Sp Technol 43:362–369. https://doi.org/10.1016/j.tust.2014.05.011

    Article  Google Scholar 

  22. Akyildiz IF, Sun Z, Vuran MC (2009) Signal propagation techniques for wireless underground communication networks. Phys Commun 2(3):167–183. https://doi.org/10.1016/j.phycom.2009.03.004

    Article  Google Scholar 

  23. Akyildiz IF, Stuntebeck EP (2006) Wireless underground sensor networks: research challenges. Ad Hoc Netw 4(6):669–686. https://doi.org/10.1016/j.adhoc.2006.04.003

    Article  Google Scholar 

  24. Saraswala PP (2013) A survey on routing protocols in ZigBee network. Int J Eng Sci Innov Technol 2(1):471–476

    Google Scholar 

  25. Chehri A, Fortier P, Tardif PM (2009) UWB-based sensor networks for localization in mining environments. Ad Hoc Netw. https://doi.org/10.1016/j.adhoc.2008.08.007

    Article  Google Scholar 

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Correspondence to Hajime Ikeda .

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Ikeda, H. et al. (2022). Communication Experiment of Wi-Fi Direct for Underground Mine Environment Visualization System. In: Verma, A.K., et al. Proceedings of Geotechnical Challenges in Mining, Tunneling and Underground Infrastructures. ICGMTU 2021. Lecture Notes in Civil Engineering, vol 228. Springer, Singapore. https://doi.org/10.1007/978-981-16-9770-8_3

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  • DOI: https://doi.org/10.1007/978-981-16-9770-8_3

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  • Print ISBN: 978-981-16-9769-2

  • Online ISBN: 978-981-16-9770-8

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