터널과지하공간 (Tunnel and Underground Space)

  • 제32권3호
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  • Pages.173-193
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  • 2022
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  • 1225-1275(pISSN)
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  • 2287-1748(eISSN)
한국암반공학회 (Korean Society for Rock Mechanics and Rock Engineering)
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스마트 마이닝 기술 국제 표준화 동향 분석: GMG 가이드라인을 중심으로

Analysis of International Standardization Trends of Smart Mining Technology: Focusing on GMG Guidelines

  • 박세범 (부경대학교 에너지자원공학과) ;
  • 최요순 (부경대학교 에너지자원공학과)
  • Park, Sebeom (Department of Energy Resources Engineering, Pukyong National University) ;
  • Choi, Yosoon (Department of Energy Resources Engineering, Pukyong National University)
  • 투고 : 2022.05.09
  • 심사 : 2022.05.30
  • 발행 : 2022.06.30
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초록

본 연구에서는 GMG (Global Mining Guidelines Group)에서 개발한 광업 분야 가이드라인을 중심으로 스마트 마이닝 기술 국제 표준화 동향을 분석하였다. GMG는 글로벌 광업 커뮤니티를 하나로 묶는 비영리 단체이며, 광업의 안전과 혁신, 지속가능성을 제고시키기 위한 목적으로 설립되었다. 현재 GMG의 실무그룹은 인공지능, 자산관리, 자율 채광, 사이버 보안, 데이터 접근 및 사용/상호 운용성, 전기화, 광물 처리, 지하 채광, 지속가능성 실무그룹으로 구성되어 있다. 스마트 마이닝 기술과 관련한 가이드라인 개발 프로젝트는 인공지능, 자율 채광, 사이버 보안, 데이터 접근 및 사용/상호운용성, 지하 채광 실무그룹에서 진행되고 있다. 2022년 4월 현재 8종의 스마트 마이닝 관련 가이드라인은 사전 착수, 착수, 가이드라인 정의, 콘텐츠 생성, 기술 수정, 레이아웃 및 최종 검토, 투표 과정을 거쳐 출판되었다. GMG에서 출판한 가이드라인은 국내 스마트 마이닝 기술 표준 개발에 있어 중요한 참고 자료가 될 수 있을 것이라 판단된다.

In this study, international standardization trend of smart mining technology was analyzed focusing on the guidelines developed by GMG (Global Mining Guidelines Group). GMG is a non-profit organization that unites the global mining community. It was established to promote mining safety, innovation and sustainability. Currently, GMG's working group consists of artificial intelligence, asset management, autonomous mining, cybersecurity, data access and usage/interoperability, the electric mine, mineral processing, underground mining, and sustainability. Guideline development projects related to smart mining technology are being conducted in artificial intelligence, autonomous mining, cybersecurity, data access and usage/interoperability, and underground mining. As of April 2022, eight types of smart mining-related guidelines have been published through pre-launch, launch, guideline definition, contents generation, technical editing/layout/final review, and voting process. It is judged that the GMG guidelines can be an important reference for the development of domestic smart mining technology standards.

키워드

과제정보

본 연구는 2022년도 정부(산업통상자원부)의 재원으로 한국에너지기술평가원 신산업 맞춤형 핵심광물개발활용기술개발사업의 지원을 받아 수행되었다(과제명: 신북방지역 주석광 맞춤형 ICT기반 채광 및 저비용/고효율 선광기술 개발 실증, 과제번호: 20227A10100020).

참고문헌

  1. Baek, J., Choi, Y., Lee, C., Suh, J., and Lee, S., 2017, BBUNS: Bluetooth beacon-based underground navigation system to support mine haulage operations. Minerals, 7(12): 228-243. https://doi.org/10.3390/min7110228
  2. Baek, J., Suh, J., and Choi, Y., 2018, Analysis of reviewed signal strength index from bluetooth beacons to develop proximity warning systems for underground mines. Journal of the Korean Society of Mineral and Energy Resources Engineers, 55(6): 604-613. https://doi.org/10.32390/ksmer.2018.55.6.604
  3. Bellanca, J.L., Orr, T.J., Helfrich, W.J., Macdonald, B., Navoyski, J., and Demich, B., 2019, Developing a Virtual Reality Environment for Mining Research, Mining, Metallurgy & Exploration, 36(4): 597-606. https://doi.org/10.1007/s42461-018-0046-2
  4. Bewley, A. and Upcroft, B., 2017, Background Appearance Modeling with Applications to Visual Object Detection in an Open-Pit Mine, Journal of Field Robotics, 34(1): 53-73. https://doi.org/10.1002/rob.21667
  5. Choi, Y. and Yi, H., 2020, Trend of mineral resource development technology using artificial intelligence, IITP Weekly ICT Trends 1935: 13-24.
  6. Choi, Y., 2018, Analysis of patent trend for ICT-based underground mine safety management technology," Journal of the Korean Society of Mineral and Energy Resources Engineers, 55(2): 159-164. https://doi.org/10.12972/ksmer.2018.55.2.159
  7. Eom, N.S.A., No, S., Haq, M.A., Lee, B., Lim, K.M., and Kim, B.S., 2019, Russian Mineral Market Flow and Economic Direction for Securing Stable Resources, Journal of Korean Powder Metallurgy Institute, 26(4): 345-349. https://doi.org/10.4150/KPMI.2019.26.4.345
  8. Global Mining Guidelines Group, 2016, Mobile Equipment Open Data Consensus Guideline, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  9. Global Mining Guidelines Group, 2017a, Underground Mine Communications Infrastructure Guidelines Part I: Positioning and Needs Analysis, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  10. Global Mining Guidelines Group, 2017b, Underground Mine Communications Infrastructure Guidelines Part II: Scenarios and Applications, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  11. Global Mining Guidelines Group, 2019a, Guideline for the Implementation of Autonomous Systems in Mining, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  12. Global Mining Guidelines Group, 2019b, Guideline for Implementing Short Interval Control in Underground Mining Operations, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  13. Global Mining Guidelines Group, 2019c, Underground Mine Communications Infrastructure Guidelines Part III: General Guidelines, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  14. Global Mining Guidelines Group, 2020a, Guideline for Applying Functional Safety to Autonomous Systems in Mining, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  15. Global Mining Guidelines Group, 2020b, A Standardized Time Classification Framework for Mobile Equipment in Surface Mining: Operational Definitions, Time Usage Model, and Key Performance Indicators, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  16. Global Mining Guidelines Group, 2021, Global Mining Guidelines Group Governance Manual, Retrieved April 5, 2022, from https://gmggroup.org/about-gmg/governance/.
  17. Global Mining Guidelines Group, 2022a, Working Groups & Projects, Retrieved April 21, from https://gmggroup.org/working-groups-projects-strategies/.
  18. Global Mining Guidelines Group, 2022b, Guidelines & Publications, Retrieved April 21, from https://gmggroup.org/guidelines-and-publications/.
  19. Grehl, S., Donner, M., Ferber, M., Dietze, A., Mischo, H., and Jung, B., 2015, Mining-rox-mobile robots in underground mining. In Proceedings of the Third International Future Mining Conference, Sydney, Australia.
  20. International Organization for Standardization, 2017, Earth-moving machinery and mining-Autonomous and semi-autonomous machine system safety (ISO Standard No. 17757:2017), https://www.iso.org/standard/60473.html.
  21. Jung, J. and Choi, Y., 2017, Measuring transport time of mine equipment in an underground mine using a bluetooth beacon system, Minerals, 7(1): 1. https://doi.org/10.3390/min7010001
  22. Jung, J., Baek, J. and Choi, Y., 2016, Analysis of Features and Applications of Bluetooth Beacon Technology for Utilization in the Mining and Construction Industries, Tunnel and Underground Space, 26(3): 143-153. https://doi.org/10.7474/TUS.2016.26.3.143
  23. Kim, H.T., 2017, The future values of natural resources, EMRD, 14: 20-23.
  24. Kim, S.S., Son J.Y., and Park, J.h., 2013, IT convergence technology trends based on big data analytics in the digital oil field, ETRI, 28(4): 1-9.
  25. Kim, Y., Baek, J., and Choi, Y., 2021, Smart Helmet-Based Personnel Proximity Warning System for Improving Underground Mine Safety, Applied Sciences, 11(10): 4342. https://doi.org/10.3390/app11104342
  26. Lim, J.T., Park, H.W., and Lim, J.S., 2014, Classification and application of digtal oil field system, Journal of the Korean Society of Mineral and Energy Resources Engineers, 51(5): 750-756. https://doi.org/10.12972/ksmer.2014.51.5.750
  27. Marshall, J., Barfoot, T., and Larsson, J., 2008, Autonomous underground tramming for center-articulated vehicles, Journal of Field Robotics, 25(6-7): 400-421. https://doi.org/10.1002/rob.20242
  28. MOTIE, 2020, Resource development master plan, Retrieved from http://www.motie.go.kr/motie/ne/presse/press2/bbs/bbsView.do?bbs_seq_n=162932&bbs_cd_n=81.
  29. Nguyen, H., Bui, X.N., Bui, H.B., and Mai, N.L., 2020, A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam, Neural Computing and Application, 32(8): 3939-3955. https://doi.org/10.1007/s00521-018-3717-5
  30. Park, J.K. and Jung, K.Y., 2020, Construction of Precise Mine Geospatial Information and Ore Modeling for Smart Mining, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 38(6): 725-731. https://doi.org/10.7848/KSGPC.2020.38.6.725
  31. Park, S. and Choi, Y., 2021a, Bluetooth Beacon-Based Mine Production Management Application to Support Ore Haulage Operations in Underground Mines, Sustainability, 13(4): 2281. https://doi.org/10.3390/su13042281
  32. Park, S. and Choi, Y., 2021b, Analysis and Diagnosis of Truck Transport Routes in Underground Mines Using Transport Time Data Collected through Bluetooth Beacons and Tablet Computers, Applied Sciences, 11(10): 4525. https://doi.org/10.3390/app11104525
  33. Park, S. and Choi, Y., 2022a, Development of Applications for Recording Ore Production Data and Writing Daily Work Report of Dump Truck in Mining Sites, Tunnel and Underground Space, 32(2), 93-106. https://doi.org/10.7474/TUS.2022.32.2.093
  34. Park, S. and Choi, Y., 2022b, Current State of Digital Information Gap in the Korean Mining Industry and its Mitigation Strategy: A Case of Daily Work Report App Development, Journal of the Korean Society of Mineral and Energy Resources Engineers, 59(2): 173-181. https://doi.org/10.32390/ksmer.2022.59.2.173
  35. Park, S. and Choi, Y., 2022c, Development of Smart Mining Technology Level Diagnostics and Assessment Model for Mining Sites, Tunnel and Underground Space, 32(1): 7-92.
  36. SAE International, 2018, Taxonomy of Terms Related to Driving Automation Systems, Retrieved from https://www.sae.org/standards/content/j3016_202104.
  37. Seo, E.Y., Lee, J.S., and Park, J.H., 2020, Analysis of International Standardization of Mine Closure and Reclamation Management (ISO TC 82/SC 7), Journal of the Korean Society of Mineral and Energy Resources Engineers, 57(6): 609-618. https://doi.org/10.32390/ksmer.2020.57.6.609
  38. World Economic Forum, 2017, Digital Transformation Initiative Mining and Metals Industry. Retrieved from https://reports.weforum.org/digital-transformation/wp-content/blogs.dir/94/mp/files/pages/files/wef-dti-mining-and-metals-white-paper.pdf.
  39. Yoon, D.W., Kim, S.M., Kim, J.S., Park, K.S., Park, H.W., Byun, J.M., Suh, J.W., Lee, C.W., Jang, I.S., Cho, S.J., and Choi, Y., 2018, Introduction to machine learning for natural resources development, CIR, Korea.
  40. Zion Market Research, 2019, Smart Mining Market: Global Industry Perspective, Comprehensive Analysis, and Forecast, 2018-2025, ZMR-191: 110.