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A Systematic Review on Implementation of Internet-of-Things-Based System in Underground Mines to Monitor Environmental Parameters

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Abstract

The automation in the mining industry by adopting Internet of Things (IoT) technology is great potential to improve safety and efficiency. The mining industry is recognized globally for its valuable resources (gold, coal, iron ore, etc.) which are obtained by mining below the surface. The productivity and safety of mine personnel are impacted by several environmental parameters in underground mines, such as toxic gases, flammable gases, elevated levels of carbon dioxide (CO2), and decreased levels of oxygen (O2) concentrations. The presence of these gases is a significant issue and needs to be dealt with suitably. There are various methods to monitor the percentage of gases and provide a suitable course of action in case of an increase in the threshold limit of gases. Each system has its limitations. Wireless monitoring systems are indispensable in underground mines. This paper presents the methodology to adopt IoT in underground mines to measure environmental parameters in underground mine areas, the structure of installation of sensors in underground mines, threshold limits of gases, and underground mine disasters which were caused by gas explosion accidents. Further, it evaluates wireless sensor networks (WSNs) techniques ZigBee and LoRa for underground mines applications. Subsequently, it proposed a real-time industrial safety system in underground mines with its working, effectiveness, and scope are discussed.

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References

  1. G.B. Misra, Mine environment and ventilation (Oxford University Press, 1986)

    Google Scholar 

  2. Centers for Disease Control and Prevention. The National Institute for Occupational Safety and Health (NIOSH), Mining Topic: Respiratory Diseases. https://www.cdc.gov/niosh/mining/topics/respiratorydiseases.html

  3. S. Khodabandeh-Shahraki, M. Azizzadeh-Forouzi, Effects of gradual exposure to carbon dioxide gas on the blood pressure status of workers in coal mines of Kerman province, Iran. ARYA atherosclerosis 8(3), 149 (2012)

    Google Scholar 

  4. 911metallurgist: Underground Mine Ventilation. https://www.911metallurgist.com/blog/underground-mine-ventilation. Accessed on 13 Feb 2023

  5. M. Anas, S.M. Haider, P. Sharma, Gas monitoring and testing in underground mines using wireless technology. Int. J. Eng. Res. Technol. (IJERT) 6, 412–416 (2017)

    Google Scholar 

  6. I.O. Osunmakinde, Towards safety from toxic gases in underground mines using wireless sensor networks and ambient intelligence. Int. J. Distrib. Sens. Netw. 9(2), 159273 (2013). https://doi.org/10.1155/2013/159273

    Article  Google Scholar 

  7. Directorate General of Mines Safety, Ministry of Labour and Employment. DGMS Circulars (2017), https://www.dgms.gov.in/writereaddata/UploadFile/Cir_04_Tech_MAMID.pdf. Accessed on 8th Dec 2022

  8. J. Shemshad, S.M. Aminossadati, W.P. Bowen, M.S. Kizil, Effects of pressure and temperature fluctuations on near-infrared measurements of methane in underground coal mines. Appl. Phys. B 106, 979–986 (2012). https://doi.org/10.1007/s00340-011-4801-z

    Article  Google Scholar 

  9. Directorate General of Mines Safety, Ministry of Labour and Employment. DGMS Circulars - 2018. Accessed on 8th Dec 2022 https://www.dgms.gov.in/writereaddata/UploadFile/Cir_2018_01_SnT_Tech636707023791212360.pdf

  10. J. Wang, Z. Huang, The recent technological development of intelligent mining in China. Engineering 3(4), 439–444 (2017)

    Article  Google Scholar 

  11. I. Lee, K. Lee, The Internet of Things (IoT): applications, investments, and challenges for enterprises. Bus. Horiz. 58(4), 431–440 (2015)

    Article  Google Scholar 

  12. A. Aziz, O. Schelén, U. Bodin, A study on industrial IoT for the mining industry: synthesized architecture and open research directions. IoT 1(2), 529–550 (2020)

    Article  Google Scholar 

  13. C. Zhou, N. Damiano, B. Whisner, M. Reyes, Industrial Internet of Things:(IIoT) applications in underground coal mines. Min. Eng. 69(12), 50 (2017)

    Article  Google Scholar 

  14. B. Zietek, A. Banasiewicz, R. Zimroz, J. Szrek, S. Gola, A portable environmental data-monitoring system for air hazard evaluation in deep underground mines. Energies 13(23), 6331 (2020)

    Article  Google Scholar 

  15. Y.S. Dohare, T. Maity, P.S. Das, P.S. Paul, Wireless communication and environment monitoring in underground coal mines–review. IETE Tech. Rev. 32(2), 140–150 (2015)

    Article  Google Scholar 

  16. I. Hussain, F. Cawood, R. Olst, Effect of tunnel geometry and antenna parameters on through-the-air communication systems in underground mines: survey and open research areas. Phys. Commun. 23, 84–94 (2017)

    Article  Google Scholar 

  17. M.A. Moridi, Y. Kawamura, M. Sharifzadeh, E.K. Chanda, H. Jang, An investigation of underground monitoring and communication system based on radio waves attenuation using ZigBee. Tunn. Undergr. Space Technol. 43, 362–369 (2014)

    Article  Google Scholar 

  18. L. Muduli, P.K. Janaa, D.P. Mishra, A novel wireless sensor network deployment scheme for environmental monitoring in longwall coal mines. Process Saf. Environ. Prot. 109, 564–576 (2017)

    Article  Google Scholar 

  19. B. Jo, R.M.A. Khan, An internet of things system for underground mine air quality pollutant prediction based on azure machine learning. Sensors 18(4), 930 (2018)

    Article  Google Scholar 

  20. B.W. Jo, R.M.A. Khan, O. Javaid, Arduino-based intelligent gases monitoring and information sharing Internet-of-Things system for underground coal mines. J. Ambient Intell. Smart Environ. 11(2), 183–194 (2019). https://doi.org/10.3233/AIS-190518

    Article  Google Scholar 

  21. S.U. Suganthi, G. Valarmathi, V. Subashini, R. Janaki, R. Prabha, Coal mine safety system for mining workers using LORA and WUSN. Mater. Today: Proc. 46, 3803–3808 (2021)

    Article  Google Scholar 

  22. D. Maximilien, C. Caroline, N. Pierre-Eric, N. Eve, L. Guillaume, C. Hugo, H. Stephane, A. Simon, Diesel engine exhaust exposures in two underground mines. Int. J. Min. Sci. Technol. 27(4), 641–645 (2017)

    Article  Google Scholar 

  23. Y.S. Dohare, T. Maity, P.S. Paul, H. Prasad, Smart low power wireless sensor network for underground mine environment monitoring, in 3rd International Conference on Recent Advances in Information Technology (RAIT) (2016), pp. 112–116. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7507885

  24. ENVIS Centre on Environmental Problems of Mining, Hosted by Indian Institute of Technology (ISM), Dhanbad, Jharkhand, Sponsored by Ministry of Environment, Forest & Climate Change, Govt of India. http://ismenvis.nic.in/Database/Mining_Accidents_in_India_24483.aspx Accessed on 8th Dec 2022

  25. Coal Mine incident in Chhattisgarh's Korba. Accessed 8 December 2022. https://tinyurl.com/2dcvfep9

  26. ENVIS Centre on Environmental Problems of Mining, Hosted by Indian Institute of Technology (ISM), Dhanbad, Jharkhand, Sponsored by Ministry of Environment, Forest & Climate Change, Govt of India. http://ismenvis.nic.in/Database/Sudamdih_Colliery_4101976_9436.aspx. Accessed 8 December 2022.

  27. ENVIS Centre on Environmental Problems of Mining, Hosted by Indian Institute of Technology (ISM), Dhanbad, Jharkhand, Sponsored by Ministry of Environment, Forest & Climate Change, Govt of India. http://ismenvis.nic.in/Database/Chinakuri_Colliery_1921958_9387.aspx Accessed 8 December 2022.

  28. A. Mandal, D. Sengupta, The analysis of fatal accidents in Indian coal mines. Calcutta Statist. Assoc. Bull. 50(1–2), 95–120 (2000). https://doi.org/10.1177/0008068320000109

    Article  Google Scholar 

  29. D.B. Tripathy, C. Ala, Identification of safety hazards in Indian underground coal mines. J. Sustain. Min. 17(4), 175–183 (2018)

    Article  Google Scholar 

  30. D.P. Mishra, D.C. Panigrahi, P. Kumar, Computational investigation on effects of geo-mining parameters on layering and dispersion of methane in underground coal mines-A case study of Moonidih Colliery. J. Nat. Gas Sci. Eng. 53, 110–124 (2018)

    Article  Google Scholar 

  31. S. Mahdevari, K. Shahriar, A framework for mitigating respiratory diseases in underground coal mining by emphasizing on precautionary measures. Occup. Med. Health Aff. (2016). https://doi.org/10.4172/2329-6879.1000239

    Article  Google Scholar 

  32. L. Yuan, L. Zhou, A.C. Smith, Modeling carbon monoxide spread in underground mine fires. Appl. Therm. Eng. 100, 1319–1326 (2016)

    Article  Google Scholar 

  33. R. Tong, Y. Yang, X. Ma, Y. Zhang, S. Li, H. Yang, Risk assessment of Miners’ unsafe behaviors: a case study of gas explosion accidents in coal mine, china. Int. J. Environ. Res. Public Health 16(10), 1765 (2019)

    Article  Google Scholar 

  34. Q. Deng, J. Yin, X. Wu, T. Zhang, H. Wang, M. Liu, Research advances of prevention and control of hydrogen sulfide in coal mines. Sci. World J. 2019, 1–15 (2019)

    Article  Google Scholar 

  35. J. Zhanga, K. Xua, G. Reniers, G. You, Statistical analysis of the characteristics of extraordinarily severe coal mine accidents (ESCMAs) in China from 1950 to 2018. Process Saf. Environ. Prot. 133, 332–340 (2020). https://doi.org/10.1016/j.psep.2019.10.014

    Article  Google Scholar 

  36. Z. Fan, F. Xu, Health risks of occupational exposure to toxic chemicals in coal mine workplaces based on risk assessment mathematical model based on deep learning. Environ. Technol. Innov. 22, 101500 (2021)

    Article  Google Scholar 

  37. B. Bonetti, R.C. Abruzzi, C.P. Peglow, M.J.R. Pires, C.J.B. Gomes, CH4 and CO2 monitoring in the air of underground coal mines in southern Brazil and GHG emission estimation. REM-Int. Eng. J. 72, 635–642 (2019)

    Article  Google Scholar 

  38. E. Stemn, P.O. Amoh, T. Joe-Asare, Analysis of artisanal and small-scale gold mining accidents and fatalities in Ghana. Resour. Policy 74, 102295 (2021)

    Article  Google Scholar 

  39. A. Banasiewicz, Analysis of historical changes in the limit value of nitrogen oxides concentrations for underground mining, in IOP Conference Series: Earth and Environmental Science, Vol. 684, No. 1, 012018, (IOP Publishing, 2021), pp. 1–8. Doi: https://doi.org/10.1088/1755-1315/684/1/012018/meta

  40. S. Panhwar, R.B. Mahar, A.A. Abro, M.W. Ijaz, G.S. Solangi, M. Muqeet, Health and safety assessment in Lakhra coal mines and its mitigation measures. Iran. J. Health, Saf. Environ. 4(3), 775–780 (2017)

    Google Scholar 

  41. K.S. Shah, M.A. Khan, S. Khan, A. Rahman, N.M. Khan, N. Abbas, Analysis of underground mining accidents at Cherat coalfield, Pakistan. Int. J. Econ. Environ. Geol. 11(1), 113–117 (2020)

    Google Scholar 

  42. M. Ayaz, N. Jehan, J. Nakonieczny, U. Mentel, Q. Zaman, Health costs of environmental pollution faced by underground coal miners: Evidence from Balochistan, Pakistan. Resour. Policy 76, 102536 (2022)

    Article  Google Scholar 

  43. M.V. Kurlenya, V.A. Skritsky, Methane explosions and causes of their origin in highly productive sections of coal mines. J. Min. Sci. 53(5), 861–867 (2017). https://doi.org/10.1134/S1062739117052886

    Article  Google Scholar 

  44. C. Na, M. Yi, Specific statistics and control method study on unsafe behavior in Chinese coal mines. Procedia Eng. 26, 2222–2229 (2011). https://doi.org/10.1016/j.proeng.2011.11.2428

    Article  Google Scholar 

  45. L. Wang, Y. Cheng, H. Liu, An analysis of fatal gas accidents in Chinese coal mines. Saf. Sci. 62, 107–113 (2014). https://doi.org/10.1016/j.ssci.2013.08.010

    Article  Google Scholar 

  46. S. Shi, B. Jiang, X. Meng, Y. Li, Fuzzy fault tree analysis for gas explosion of coal mining and heading faces in underground coal mines. Adv. Mech. Eng. 10(8), 1–9 (2018). https://doi.org/10.1177/1687814018792318

    Article  Google Scholar 

  47. W. Xiao, J. Xu, X. Lv, Establishing a georeferenced spatio-temporal database for Chinese coal mining accidents between 2000 and 2015. Geomat., Nat. Hazards Risk (2018). https://doi.org/10.1080/19475705.2018.1521476

    Article  Google Scholar 

  48. G. Fu, Z. Zhao, C. Hao, Q. Wu, The accident path of coal mine gas explosion based on 24Model: a case study of the Ruizhiyuan gas explosion accident. Processes 7(2), 73 (2019)

    Article  Google Scholar 

  49. W. Ke, K. Wang, Impact of gas control policy on the gas accidents in coal mine. Processes 8(11), 1405 (2020)

    Article  Google Scholar 

  50. J. Lee, Y. Su, C. Shen, A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi, in IECON 2007-33rd Annual Conference of the IEEE Industrial Electronics Society (2007), pp. 46–51. https://ieeexplore.ieee.org/abstract/document/4460126

  51. G. Dan, L. Weiwei, D. Kun, Design of coal mine intelligent monitoring system based on ZigBee wireless sensor network, in International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2016), (Atlantis Press 2016), pp. 182–187. https://www.atlantis-press.com/proceedings/icmmse-16/25854549

  52. G. Naik, J. Park, J. Ashdown, W. Lehr, Next generation Wi-Fi and 5G NR-U in the 6 GHz bands: Opportunities and challenges. IEEE Access 8, 153027–153056 (2020)

    Article  Google Scholar 

  53. A. RayChowdhury, A. Pramanik, G.C. Roy, New approach for localization and smart data transmission inside underground mine environment. SN Appl. Sci. 3(6), 604 (2021). https://doi.org/10.1007/s42452-021-04589-2

    Article  Google Scholar 

  54. H.T. Mouftah, M. Erol-Kantarci, M.S. Obaidat, A. Anpalagan, I. Woungang, Smart grid communications: Opportunities and challenges. Handbook Green Inf. Commun. Syst. 2013, 631–663 (2013)

    Google Scholar 

  55. LoRaWAN Channel Plans: APPENDIX A https://link.springer.com/content/pdf/bbm:978-1-4842-4357-2/1.pdf Accessed 13 Feb 2023

  56. M. Sharifzadeh, Y. Kawamura, M.A. Moridi, An investigation on applicability of wireless sensor network in underground space monitoring and communication systems, in 11th Iranian and 2nd Regional Tunnelling Conference, Tunnels and the Future (2015), pp. 1–19. https://tinyurl.com/4ra6bx65

  57. T. Bouguera, J.F. Diouris, J.J. Chaillout, R. Jaouadi, G. Andrieux, Energy consumption model for sensor nodes based on LoRa and LoRaWAN. Sensors 18(7), 2104 (2018)

    Article  Google Scholar 

  58. M.S. Philip, P. Singh, Energy consumption evaluation of LoRa sensor nodes in wireless sensor network, in Advanced Communication Technologies and Signal Processing (ACTS) (2021), pp. 1–4. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9708341

  59. M. Sharifzadeh, Y. Kawamura, M.A. Moridi, An investigation on applicability of wireless sensor network in underground space monitoring and communication systems, in 11th Iranian and 2nd Regional Tunnelling Conference, held in Tehran, Iran: IRTA (2015), pp. 1–19. https://tinyurl.com/4ra6bx65

  60. A. Patri, D.S. Nimaje, Radio frequency propagation model and fading of wireless signal at 2.4 GHz in an underground coal mine. J. South. African Inst. Min. Metall. 115(7), 629–636 (2015)

    Article  Google Scholar 

  61. G. Dan, L. Weiwei, D. Kun, Design of coal mine intelligent monitoring system based on ZigBee wireless sensor network, in International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2016) (Atlantis Press 2016), pp. 182–187. https://www.atlantis-press.com/proceedings/icmmse-16/25854549

  62. C.J. Behr, A. Kumar, G.P. Hancke, A smart helmet for air quality and hazardous event detection for the mining industry, in 2016 IEEE International Conference on Industrial Technology (ICIT) (2016), pp. 2026–2031. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7475079&tag=1

  63. H.M. Joshi, S. Das, Design and simulation of smart helmet for coal miners using ZigBee technology. Int. J. Emerg. Technol. 8(1), 196–200 (2017)

    Google Scholar 

  64. M.A. Moridi, Y. Kawamura, M. Sharifzadeha, E.K. Chanda, M. Wagner, H. Okawa, Performance analysis of ZigBee network topologies for underground space monitoring and communication systems. Tunn. Undergr. Space Technol. 71, 201–209 (2018)

    Article  Google Scholar 

  65. M.A. Moridi, Y. Kawamura, M. Sharifzadeha, Y. Kawamura, H.D. Jang, Development of wireless sensor networks for underground communication and monitoring systems (the cases of underground mine environments). Tunn. Undergr. Space Technol. 73, 127–138 (2018)

    Article  Google Scholar 

  66. A. Chehri, R. Saadane, Zigbee-based remote environmental monitoring for smart industrial mining, in Proceedings of the 4th International Conference on Smart City Applications (2019), pp. 1–6. Doi: https://doi.org/10.1145/3368756.3369099

  67. P.K. Mishra, S. Kumar, Pratik, M. Kumar, J. Kumar, IoT based multimode sensing platform for underground coal mines. Wirel. Pers. Commun. 108(2), 1227–1242 (2019). https://doi.org/10.1007/s11277-019-06466-z

    Article  Google Scholar 

  68. T. Eldemerdash, R. Abdulla, V. Jayapal, C. Nataraj, M.K. Abbas, IoT based smart helmet for mining industry application. Int. J. Adv. Sci. Technol. 29(1), 373–387 (2020)

    Google Scholar 

  69. S.K. Reddy, A.S. Naik, G.R. Mandela, Development of a reliable wireless communication system to monitor environmental parameters from various positions of underground mines to the surface using ZigBee modules. J. Inst. Eng. (India) Ser. D (2023). https://doi.org/10.1007/s40033-023-00486-7

    Article  Google Scholar 

  70. M.S. Hidayat, A.P. Nugrohoa, L. Sutiarso, T. Okayasu, Development of environmental monitoring systems based on LoRa with cloud integration for rural area, in IOP Conference Series: Earth and Environmental Science (Vol. 355, No. 1, 012010) (IOP Publishing 2019), pp. 1–7. Doi: https://doi.org/10.1088/1755-1315/355/1/012010

  71. L. Emmanuel, W. Farjow, X. Fernando, Lora wireless link performance in multipath underground mines, in International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), IEEE (2019), pp. 1–4. https://ieeexplore.ieee.org/abstract/document/8910316

  72. Z.A. Tan, M.T.A. Rahman, A.F.A. Hamid, N.A.M. Amin, H.A. Munir, M.M.M. Zabidi, Analysis on LoRa RSSI in Urban, Suburban, and Rural Area for Handover Signal Strength-Based Algorithm, in IOP Conference Series: Materials Science and Engineering (Vol. 705, No. 1, 012012) (IOP Publishing 2019), pp. 1–6. Doi: https://doi.org/10.1088/1757-899X/705/1/012012

  73. M. Anjum, M.A. Khan, S.A. Hassan, A. Mahmood, M. Gidlund, Analysis of RSSI fingerprinting in LoRa networks, in 15th International Wireless Communications & Mobile Computing Conference (IWCMC), IEEE (2019), pp. 1178–1183. https://www.academia.edu/72867430/Analysis_of_RSSI_Fingerprinting_in_LoRa_Networks

  74. N. Nikolakis, G. Kantaris, K. Bourmpouchakis, K. Alexopoulos, A cyber-physical system approach for enabling ventilation on-demand in an underground mining site. Procedia CIRP 97, 487–490 (2021)

    Article  Google Scholar 

  75. P. Branch, B. Li, K. Zhao, A LoRa-based linear sensor network for location data in underground mining. In Telecom (1020006). MDPI (2020), pp. 68–79. https://www.mdpi.com/2673-4001/1/2/6

  76. Branch P, Cricenti T (2020) A LoRa relay based system for detonating explosives in underground mines. In 2020 IEEE International Conference on Industrial Technology (ICIT), IEEE, 259–264. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9067213

  77. Nur-A-Alam, M. Ahsan, M. Based, J. Haider, E.M.G. Rodrigues, Smart monitoring and controlling of appliances using LoRa based IoT system. Designs 5(1), 17 (2021)

    Article  Google Scholar 

  78. S.K. Reddy, A.S. Naik, G.R. Mandela, Wireless monitoring of environmental parameters for underground mining using Internet of Things with LoRa transceiver module, in 2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE) Vol. 7 (2022), pp. 224–229. https://ieeexplore.ieee.org/abstract/document/10054280?casa_token=HIXA6He9JB0AAAAA:qpH5cNnYFg3eSESskRmB5e8EqndXroYb1zO0pa_-XJ-jW9YJQ9E5IbN2OioUUYZDWiZx0pp-Aw

  79. Y. Zhang, W. Yang, D. Han, Y. Kim, An integrated environment monitoring system for underground coal mines—Wireless sensor network subsystem with multi-parameter monitoring. Sensors 14(7), 13149–13170 (2014)

    Article  Google Scholar 

  80. M.M. Ali, K. Youhei, S. Mostafa, C.H. Knox, W. Markus, J. Hyongdoo, O. Hirokazu, Development of underground mine monitoring and communication system integrated ZigBee and GIS. Int. J. Min. Sci. Technol. 25(5), 811–818 (2015)

    Article  Google Scholar 

  81. A. Ranjan, H.B. Sahu, P. Misra, Modeling and measurements for wireless communication networks in underground mine environments. Measurement 149, 106980 (2020)

    Article  Google Scholar 

  82. C. Jordaan, R. Malekian, Design of a monitoring and safety system for underground mines using wireless sensor networks. Int. J. Ad Hoc Ubiquitous Comput. 32(1), 14–28 (2019)

    Article  Google Scholar 

  83. V. Adjiski, Z. Despodov, D. Serafimovski, S. Mijalkovski, System for prediction of carboxyhemoglobin levels as an indicator for on-time installation of self-contained self-rescuers in case of fire in underground mines. GeoSci. Eng. 65(4), 23–37 (2019)

    Article  Google Scholar 

  84. A. Jha, P. Tukkaraja, Monitoring and assessment of underground climatic conditions using sensors and GIS tools. Int. J. Min. Sci. Technol. 30(4), 495–499 (2020)

    Article  Google Scholar 

  85. K. Kumari, P. Dey, C. Kumar, D. Pandit, S.S. Mishra, V. Kisku, S.K. Chaulya, S.K. Ray, G.M. Prasad, UMAP and LSTM based fire status and explosibility prediction for sealed-off area in underground coal mine. Process Saf. Environ. Prot. 146, 837–852 (2021)

    Article  Google Scholar 

  86. Y. Wua, M. Chen, K. Wang, G. Fu, A dynamic information platform for underground coal mine safety based on internet of things. Saf. Sci. 113, 9–18 (2019)

    Article  Google Scholar 

  87. P. Deya, S.K. Chaulya, S. Kumar, Hybrid CNN-LSTM and IoT-based coal mine hazards monitoring and prediction system. Process Saf. Environ. Prot. 152, 249–263 (2021)

    Article  Google Scholar 

  88. Enthu Technology Solutions India Pvt Ltd https://www.enthutech.in/shop/category/gateways-1 Accessed on 23 Apr 2023

  89. Rajant Corporation https://rajant.com/underground-mining-network-2/ Accessed on 13 Feb 2023

  90. MST Global https://mstglobal.com/industry/underground-coal-mining/ Accessed on 13 Feb 2023

  91. Cisco for Mining https://www.cisco.com/c/en/us/solutions/industries/materials-mining.html Accessed on 13 Feb 2023

  92. Carroll Technologies Group https://www.carrolltechnologiesgroup.com/products-monitoring/ Accessed on 13 Feb 2023

  93. PBE Group https://tinyurl.com/4x2ah4c5 Accessed on 13 Feb 2023

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Acknowledgements

This work was supported by the Mining Engineering Department, National Institute of Technology Karnataka, Surathkal, India.

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This research study was supported by the VGST/KSTEPS, DST, Government of Karnataka, India (Grant No. GRD No 1047).

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  1. National Institute of Technology Karnataka, Surathakal, Mangalore, India

    Anil S. Naik, Sandi Kumar Reddy & Govinda Raj Mandela

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Naik, A.S., Reddy, S.K. & Mandela, G.R. A Systematic Review on Implementation of Internet-of-Things-Based System in Underground Mines to Monitor Environmental Parameters. J. Inst. Eng. India Ser. D (2023). https://doi.org/10.1007/s40033-023-00541-3

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