On the impact of Industrial Internet of Things (IIoT) - mining sector perspectives

References

• I. Lee and K. Lee, The Internet of Things (IoT): Applications, investments, and challenges for enterprises, Business Horizons. 58 (4) (2015), pp. 431–440. doi:10.1016/j.bushor.2015.03.008.
   Web of Science ®Google Scholar
• J. Zhang, Exploration on coal mining-induced rockburst prediction using internet of things and deep neural network, J. Supercomput. 78 (12) (2022), pp. 13988–14008. doi:10.1007/s11227-022-04424-4.
   Web of Science ®Google Scholar
• Gartner, 2014. Gartner says the internet of things will transform the data center. http://www.gartner.com/newsroom/id/2684616
   Google Scholar
• A. Aziz, O. Schelén, and U. Bodin, A study on industrial IoT for the mining industry: Synthesized architecture and open research directions, IoT 1 (2) (2020), pp. 529–550. doi:10.3390/iot1020029.
   Google Scholar
• M. Moghaddam, M.N. Cadavid, C.R. Kenley, and A.V. Deshmukh, Reference architectures for smart manufacturing: A critical review, J. Manuf. Syst. 49 (2018), pp. 215–225. doi:10.1016/j.jmsy.2018.10.006.
   Web of Science ®Google Scholar
• R. Qi, T. Liu, Q. Jia, L. Sun, and J. Liu, Simulating the sustainable effect of green mining construction policies on coal mining industry of China, J. Cleaner Prod. 226 (2019), pp. 392–406. doi:10.1016/j.jclepro.2019.04.028.
   Web of Science ®Google Scholar
• O. Dayo-Olupona, B. Genc, and M. Onifade, Technology adoption in mining: A multi-criteria method to select emerging technology in surface mines, Resour. Policy 69 (2020), pp. 101879. doi:10.1016/j.resourpol.2020.101879.
   Web of Science ®Google Scholar
• A. Jimeno-Morenilla, P. Azariadis, R. Molina-Carmona, S. Kyratzi, and V. Moulianitis, Technology enablers for the implementation of industry 4.0 to traditional manufacturing sectors: A review, Comput. Ind. 125 (2021), pp. 103390. doi:10.1016/j.compind.2020.103390.
   Web of Science ®Google Scholar
• X. Ge, S. Su, H. Yu, G. Chen, and X. Lu, Smart mine construction based on knowledge engineering and internet of things, Int. J. Performability Eng. 14 (2018), pp. 1060–1068. doi:10.23940/ijpe.18.05.p25.10601068.
   Google Scholar
• ] P. Lyu, M. He, X. Chen, Y. Bao, Development and prospect of wisdom mine, Ind. Mine Autom. 44, 2018 (2018), pp. 84–88. doi:10.13272/j.issn.1671-251x.17346.
   Google Scholar
• L. Ericsson, More than 50 billion connected devices, White Pap 14 (2011), pp. 124.
   Google Scholar
• A. Rymaszewska, P. Helo, and A. Gunasekaran, IoT powered servitization of manufacturing - an exploratory case study, Int. J. Prod. Econ. 192 (2017), pp. 92–105. doi:10.1016/j.ijpe.2017.02.016.
   Web of Science ®Google Scholar
• GDMIN-TR-S014, 2021. https://www.globaldata.com/store/report/iot-in-mining-theme-analysis/
   Google Scholar
• R. Schmidt, M. Möhring, R.C. Härting, C. Reichstein, P. Neumaier, and P. Jozinović, 2015. Industry 4.0-potentials for creating smart products: Empirical research results. In International Conference on Business Information Systems; Springer: Berlin, Germany, pp.16–27.
   Google Scholar
• Q. Li, Q. Tang, I. Chan, H. Wei, Y. Pu, H. Jiang, J. Li, and J. Zhou, Smart manufacturing standardization: Architectures, reference models and standards framework, Comput. Ind. 101 (2018), pp. 91–106. doi:10.1016/j.compind.2018.06.005.
   Web of Science ®Google Scholar
• M. Blanchet, T. Rinn, G. Von Thaden, and G. De Thieulloy, 2014. Industry 4.0: The New Industrial Revolution-How Europe Will Succeed. Hg. V. Roland Berger Strategy Consultants GmbH. München. Abgerufen Am 11.05. 2014.
   Google Scholar
• H. Boyes, B. Hallaq, J. Cunningham, and T. Watson, The Industrial Internet of Things (IIoT): An analysis framework, Comput. Ind. 101 (2018), pp. 1–12. doi:10.1016/j.compind.2018.04.015.
   Web of Science ®Google Scholar
• T. Borangiu, D. Trentesaux, A. Thomas, P. Leit˜ao, and J. Barata, Digital transformation of manufacturing through cloud services and resource virtualization, Comput. Ind. 108 (2019), pp. 150–162. doi:10.1016/j.compind.2019.01.006.
   Web of Science ®Google Scholar
• H. Jaidka, N. Sharma, and R. Singh Evolution of IoT to IIoT: Applications & challenges. 2020. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3603739.
   Google Scholar
• M.D. González-Zamar, E. Abad-Segura, E. Vázquez-Cano, and E. López-Meneses, IoT technology applications-based smart cities: Research analysis, Electronics 9 (8) (2020), pp. 1246. doi:10.3390/electronics9081246.
   Web of Science ®Google Scholar
• L. Barnewold and B.G. Lottermoser, Identification of digital technologies and digitalisation trends in the mining industry, Int. J. Min. Sci. Technol. 30 (6) (2020), pp. 747–757. doi:10.1016/j.ijmst.2020.07.003.
   Web of Science ®Google Scholar
• M. Onifade, J.A. Adebisi, A.P. Shivute, and B. Genc, Challenges and applications of digital technology in the mineral industry, Resour. Policy 85 (2023a), pp. 103978. doi:10.1016/j.resourpol.2023.103978.
   Web of Science ®Google Scholar
• S. Husain, A. Prasad, A. Kunz, A. Papageorgiou, and J. Song, Song, J. Recent trends in standards related to the internet of things and machine-to-machine communications, Scope. J. Info. Comm. Converg. Eng. 12 (4) (2014), pp. 228–236. doi:10.6109/jicce.2014.12.4.228.
   Google Scholar
• A. Deol, K. Figueredo, S.W. Lin, B. Murphy, D. Seed, and J. Yin, Adv. Ind. Internet Things: An Ind. Internet Consortium And oneM2m Joint Whitepaper. (2019), pp. 1–25.
   Google Scholar
• C. Zhou, N. Damiano, B. Whisner, and M. Reyes, Industrial internet of things: (IIoT) applications in underground coal mines, Min. Eng. 69 (12) (2017), pp. 50–56. doi:10.19150/me.7919.
   PubMedGoogle Scholar
• D. Kent and D. Eisner, 2015. What the internet of things means to mining. In: Proceedings of 3rd international future mining conference. Sydney: The Australasian Institute of Mining and Metallurgy. pp. 65–69.
   Google Scholar
• M.H. Ur Rehman, I. Yaqoob, K. Salah, M. Imran, P.P. Jayaraman, and C. Perera, The role of big data analytics in industrial internet of things, Future. Gener. Comput. Syst. 99 (2019), pp. 247–259. doi:10.1016/j.future.2019.04.020.
   Web of Science ®Google Scholar
• M. Aazam, S. Zeadally, and K.A. Harras, Deploying fog computing in industrial internet of things and industry 4.0, IEEE Trans. Ind. Informat. 14 (10) (2018), pp. 4674–4682. doi:10.1109/TII.2018.2855198.
   Web of Science ®Google Scholar
• E. Sun, X. Zhang, and Z. Li, The internet of things (IOT) and cloud computing (CC) based tailings dam monitoring and pre-alarm system in mines, Saf. Sci. 50 (4) (2012), pp. 811–815. doi:10.1016/j.ssci.2011.08.028.
   Web of Science ®Google Scholar
• V. Lesi, Z. Jakovljevic, and M. Pajic, 2019. Reliable industrial IoT-based distributed automation. In Proceedings of the International Conference on Internet of Things Design and Implementation, Montreal, QC, Canada15-18 April 2019; pp. 94–105.
   Google Scholar
• M. Sishi and A. Telukdarie, Implementation of industry 4.0 technologies in the mining industry-a case study, Int. J. Min. Eng. 11 (1) (2020), pp. 1–22. doi:10.1504/IJMME.2020.105852.
   Google Scholar
• O. Dayo-Olupona, B. Genc, T. Celik, and S. Bada, Adoptable approaches to predictive maintenance in mining industry: An overview, Resour. Policy 86 (2023), pp. 104291. doi:10.1016/j.resourpol.2023.104291.
   Web of Science ®Google Scholar
• D. Kiel, J.M. Müller, C. Arnold, and K.I. Voigt, Sustainable industrial value creation: Benefits and challenges of industry 4.0, Int. J. Innovation Manage. 21 (8) (2017), pp. 1740015. doi:10.1142/S1363919617400151.
   Web of Science ®Google Scholar
• B. Jo and R.M.A. Khan, An internet of things system for underground mine air quality pollutant prediction based on azure machine learning, Sensors 18 (4) (2018), pp. 930. doi:10.3390/s18040930.
   PubMed Web of Science ®Google Scholar
• G. Stanway, P. Mahoney, D. Andrew, and C. Griebel, 2015. Understanding the state of innovation in the iron ore industry. In: Proceedings of the iron ore conference 2015. The Australasian Institute of Mining and Metallurgy, Perth. pp. 631–645.
   Google Scholar
• B. Boudreau-Trudel, S. Nadeau, and K. Zaras, Innovative mining equipment: Key factors for successful implementation, Am J. Indus. Bus Manage 5 (4) (2015), pp. 161–171. doi:10.4236/ajibm.2015.54018.
   Google Scholar
• S. van Duin, L. Meers, and G. Gibson, 2013. Hard automation trends in Australian underground coal mines. In: Proceedings of the 30th international symposium on automation and robotics in construction and mining, ISARC 2013. Montreal, QC; 2013.
   Google Scholar
• D. Groenveld and M. Rozou, 2016. Advanced process control for grinding circuits. Proceedings of the 28th International Mineral Processing Congress, IMPC 2016. Canadian Institute of Mining, Metallurgy and Petroleum, Quebec City; 2016.
   Google Scholar
• A. Atkins, L. Zhang, and H. Yu, Application of RFID and mobile technology in tracking of equipment for maintenance in the mining industry, in The Australasian Institute of Mining and Metallurgy, Wollongong, Australia, University of Wollongong, 2010, pp. 350–358.
   Google Scholar
• M. McNinch, D. Parks, R. Jacksha, and A. Miller, Leveraging IIoT to improve machine safety in the mining industry, Min. Metall. Explor. 36 (4) (2019), pp. 675–681. doi:10.1007/s42461-019-0067-5.
   PubMed Web of Science ®Google Scholar
• Z.M. Qian, Y.B. Yuan, S.S. Zhang, and G.F. Ren, Design of online mine safety detection system based on internet of things, Int. J. Onl. Eng. 12 (12) (2016), pp. 60–62. doi:10.3991/ijoe.v12i12.6449.
   Google Scholar
• M. Onifade, K.O. Said, and A.P. Shivute, Safe mining operations through technological advancement, Process Saf. Environ. Prot. 175 (2023b), pp. 251–258. doi:10.1016/j.psep.2023.05.052.
   Web of Science ®Google Scholar
• K.O. Said, M. Onifade, A.P. Shivute, and J.A. Adebisi, Enhancement of efficient coal fragmentation through technological advancement, Int. J. Min. Eng. 14 (1) (2023), pp. 69–94. doi:10.1504/IJMME.2023.131614.
   Google Scholar
• J.M. Akande, M. Onifade, and A.E. Aladejare, Determination of airflow distributions in Okaba underground coal mine, J. Min. World Express 2 (2013), pp. 40–44.
   Google Scholar
• W.P. Rogers, M.M. Kahraman, F.A. Drews, K. Powell, J.M. Haight, Y. Wang, K. Baxla, and M. Sobalkar, Automation in the mining industry: Review of technology, systems, human factors, and political risk, Min. Metall. Explor. 36 (4) (2019), pp. 607–631. doi:10.1007/s42461-019-0094-2.
   Web of Science ®Google Scholar
• T. Sălăgean, T. Rusu, D. Onose, R. Farcaș, B. Duda, and P. Sestraș, The use of laser scanning technology in land monitoring of mining areas, Carpath. J. Earth Env. 11 (2016), pp. 565–573.
   Web of Science ®Google Scholar
• S. Raval, B.P. Banerjee, S.K. Singh, and I. Canbulat. A preliminary investigation of mobile mapping technology for underground mining. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, July, Yokohama, Japan, IEEE, 2019, pp. 6071–6074.
   Google Scholar
• A. Ellmann, K. Kütimets, S. Varbla, E. Väli, and S. Kanter, Advancements in underground mine surveys by using SLAM-enabled handheld laser scanners, Surv. Rev. 54 (385) (2022), pp. 363–374. doi:10.1080/00396265.2021.1944545.
   Web of Science ®Google Scholar
• F. Molaei, E. Rahimi, H. Siavoshi, S.G. Afrouz, and V. Tenorio, A comprehensive review on internet of things (IoT) and its implications in the mining industry, Am. J. Eng. And Appl. Sci. 13 (3) (2020), pp. 499–515. doi:10.3844/ajeassp.2020.499.515.
   Google Scholar
• A. Singh, D. Kumar, and J. Hötzel, IoT based information and communication system for enhancing underground mines safety and productivity: Genesis, taxonomy and open issues, Ad Hoc Networks 78 (2018), pp. 115–129. doi:10.1016/j.adhoc.2018.06.008.
   Web of Science ®Google Scholar
• J. Kwiri, 2018. Concept Development of a Smart Rock Engineering System for Real-Time Decision-Making and Risk Minimization in Deep Level Hard Rock Mines: A Digital Mining Approach. MSc Thesis. University of the Witwatersrand, Johannesburg, South Africa.
   Google Scholar
• S.S. Bhattacharyya and Y. Shah, Emerging technologies in Indian mining industry: An exploratory empirical investigation regarding the adoption challenges, J. Sci. Technol. Policy Manage. 13 (2) (2022), pp. 358–381. doi:10.1108/JSTPM-03-2021-0048.
   Web of Science ®Google Scholar
• L.Q. Nguyen, M.T. Dang, L.K. Bui, Q.B. Ngoc, and T.X. Tran, 2022, October. Application of unmanned aerial vehicles for surveying and mapping in mines: A review. In International Conference on Geo-Spatial Technologies and Earth Resources (pp.1–22). Springer International Publishing, Cham.
   Google Scholar
• M. Mardonova and Y. Choi, Toward open-source hardware and software for the mining industry: A case study of low-cost environmental monitoring system for non-metallic underground mines, Min. Metall. Explor. 36 (4) (2019), pp. 657–674. doi:10.1007/s42461-019-0093-3.
   Web of Science ®Google Scholar
• E.A. Shammar and A.T. Zahary, The Internet of Things (IoT): A survey of techniques, operating systems, and trends, Libr. Hi Tech 38 (1) (2020), pp. 5–66. doi:10.1108/LHT-12-2018-0200.
   Web of Science ®Google Scholar
• M. Cudjoe and F.T. Cawood, The tracking of metal content on a surface mine: A digital mining technology approach, Resour. Policy 76 (2022), pp. 102571. doi:10.1016/j.resourpol.2022.102571.
   Web of Science ®Google Scholar
• X.T. Feng, J. Liu, B. Chen, Y. Xiao, G. Feng, and F. Zhang, Monitoring, warning, and control of rockburst in deep metal mines, Engineering 3 (4) (2017), pp. 538–545. doi:10.1016/J.ENG.2017.04.013.
   Web of Science ®Google Scholar
• Y. Liu, W. Li, J. He, S. Liu, L. Cai, and G. Cheng, Application of brillouin optical time domain reflectometry to dynamic monitoring of overburden deformation and failure caused by underground mining, Int. J. Rock Mech. Min. Sci. 106 (2018), pp. 133–143. doi:10.1016/j.ijrmms.2018.04.030.
   Web of Science ®Google Scholar
• A.V. Dyskin, H. Basarir, J. Doherty, M. Elchalakani, G.R. Joldes, A. Karrech, B. Lehane, K. Miller, E. Pasternak, I. Shufrin, and A. Wittek, Computational monitoring in real time: Review of methods and applications, Geomech. Geophys. Geo. Energy. Ge. Resour. 4 (3) (2018), pp. 235–271. doi:10.1007/s40948-018-0086-6.
   Web of Science ®Google Scholar
• M. He, Q. Wang, and Q. Wu, Innovation and future of mining rock mechanics, J. Rock Mech. Geotech. Eng. 13 (1) (2021), pp. 1–21. doi:10.1016/j.jrmge.2020.11.005.
   Web of Science ®Google Scholar
• P.G. Ranjith, J. Zhao, M. Ju, R.V. De Silva, T.D. Rathnaweera, and A.K. Bandara, Opportunities and challenges in deep mining: A brief review, Engineering 3 (4) (2017), pp. 546–551. doi:10.1016/J.ENG.2017.04.024.
   Web of Science ®Google Scholar
• C. Tang, J. Wang, and J. Zhang, Preliminary engineering application of microseismic monitoring technique to rockburst prediction in tunneling of Jinping II project, J. Rock Mech. Geotech. Eng. 2 (3) (2010), pp. 193–208. doi:10.3724/SP.J.1235.2010.00193.
   Google Scholar
• U. Raza and A. Salam, A survey on subsurface signal propagation, Smart Cities 3 (4) (2020), pp. 1513–1561. doi:10.3390/smartcities3040072.
   Google Scholar
• S. Li, S. Li, Q. Zhang, Y. Xue, B. Liu, M. Su, Z. Wang, and S. Wang, Predicting geological hazards during tunnel construction, J. Rock Mech. Geotech. Eng. 2 (3) (2010), pp. 232–242. doi:10.3724/SP.J.1235.2010.00232.
   Google Scholar
• S. Hou, Y. Liu, and Q. Yang, Real-time prediction of rock mass classification based on TBM operation big data and stacking technique of ensemble learning, J. Rock Mech. Geotech. Eng. 14 (1) (2022), pp. 123–143. doi:10.1016/j.jrmge.2021.05.004.
   Web of Science ®Google Scholar
• M. Thibaud, H. Chi, W. Zhou, and S. Piramuthu, Internet of things (IoT) in high-risk environment, health and safety (EHS) industries: A comprehensive review, Decis. Support Syst. 108 (2018), pp. 79–95. doi:10.1016/j.dss.2018.02.005.
   Web of Science ®Google Scholar
• T. Chikande, 2022. Application of Fourth Industrial Revolution Technologies to Ventilation Design and Environmental Monitoring Criteria for Platinum Mining in Zimbabwe Doctoral dissertation, Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg.
   Google Scholar
• J. Pramanik, A.K. Samal, S.K. Pani, and C. Chakraborty, Elementary framework for an IoT based diverse ambient air quality monitoring system, Multimedia Tools Appl. 81 (26) (2022), pp. 36983–37005. doi:10.1007/s11042-021-11285-1.
   Web of Science ®Google Scholar
• L. Muduli, D.P. Mishra, and P.K. Jana, Application of wireless sensor network for environmental monitoring in underground coal mines: A systematic review, J. Netw. Comput. Appl. 106 (2018), pp. 48–67. doi:10.1016/j.jnca.2017.12.022.
   Web of Science ®Google Scholar
• A. Yasin, J. Delaney, C.T. Cheng, and T.Y. Pang, The design and implementation of an IoT sensor-based indoor air quality monitoring system using off-the-shelf devices, Appl. Sci. 12 (19) (2022), pp. 9450. doi:10.3390/app12199450.
   Google Scholar
• J.D. Stinnette, Establishing Total Airflow Requirements for Underground Metal/non-Metal Mines Based on the Diesel Equipment Fleet, Queen’s University, Canada, 2013.
   Google Scholar
• K. Wallace, B. Prosser, and J.D. Stinnette, The practice of mine ventilation engineering, Int. J. Min. Sci. Technol. 25 (2) (2015), pp. 165–169. doi:10.1016/j.ijmst.2015.02.001.
   Web of Science ®Google Scholar
• R.H. Grau III, S.B. Robertson, T.P. Mucho, F. Garcia, and A.C. Smith, NIOSH ventilation research addressing diesel emissions and other air quality issues in nonmetal mines, 2022.
   Google Scholar
• S.K. Singh, B.P. Banerjee, and S. Raval, A review of laser scanning for geological and geotechnical applications in underground mining, Int. J. Min. Sci. Technol. 33 (2) (2022), pp. 133–154. doi:10.1016/j.ijmst.2022.09.022.
   Web of Science ®Google Scholar
• H. Zhang, B. Li, M. Karimi, S. Saydam, and M. Hassan, Recent advancements in IoT implementation for environmental, safety, and production monitoring in underground mines, IEEE Internet Things J. 10 (16) (2023), pp. 14507–14526. doi:10.1109/JIOT.2023.3267828.
   Web of Science ®Google Scholar
• S. Sadeghi, N. Soltanmohammadlou, and F. Nasirzadeh, Applications of wireless sensor networks to improve occupational safety and health in underground mines, J. Safety. Res. 83 (2022), pp. 8–25. doi:10.1016/j.jsr.2022.07.016.
   PubMed Web of Science ®Google Scholar
• C. Cacciuttolo, V. Guzmán, P. Catriñir, E. Atencio, S. Komarizadehasl, and J.A. Lozano-Galant, Low-cost sensors technologies for monitoring sustainability and safety issues in mining activities: Advances, gaps, and future directions in the digitalization for smart mining, Sensors 23 (15) (2023), pp. 6846. doi:10.3390/s23156846.
   PubMed Web of Science ®Google Scholar
• Y. Gao, Y. Ai, B. Tian, L. Chen, J. Wang, D. Cao, and F.Y. Wang, Parallel end-to-end autonomous mining: An IoT-oriented approach, IEEE Internet Things J. 7 (2) (2019), pp. 1011–1023. doi:10.1109/JIOT.2019.2948470.
   Web of Science ®Google Scholar
• Mining Technology, 2024. Leading mining companies in the internet of things theme. Available at https://www.mining-technology.com/data-insights/leading-mining-companies-in-the-internet-of-things-theme/?cf-view.
   Google Scholar
• M. Onifade, J.A. Adebisi, and T. Zvarivadza, Recent advances in blockchain technology: Prospects, applications and constraints in the minerals industry, Int. J. Min. Reclam. Environ. (2024), pp. 1–37. doi:10.1080/17480930.2024.2319453.
   Web of Science ®Google Scholar
• M. Onifade, T. Zvarivadza, and J.A. Adebisi, Towards application of positioning systems for safety and environmental protection in the mining industry, Int. Min. Miner. Eng. 15 (1) (2024), doi:10.1504/IJMME.2024.10063420.
   Google Scholar