참고문헌 (34)

1. Int. J. Min. Sci. Technol. Ralston 25 6 865 2015 10.1016/j.ijmst.2015.09.001 Longwall automation: Delivering enabling technology to achieve safer and more productive underground mining 

   상세보기

2. Int. J. Min. Sci. Technol. Peng 29 2 151 2019 10.1016/j.ijmst.2019.01.005 Automation in U.S. longwall coal mining: A state-of-the-art review 

   상세보기

3. J. China. Coal. Soc. Wang 44 1 34 2019 Analysis on key technologies of intelligent coal mine and intelligent mining 

4. Wireless Pers. Commun. Cao 102 4 2667 2018 10.1007/s11277-018-5294-4 The research on characteristics of hydraulic support advancing control system in coal mining face 

   상세보기

5. X. Li, Z. Cheng, Q. Zhao, Stability controlling technology of supports in large dip angle face, Safety Coal Mines. 47(09) (2016)64-66+70. https://doi.org/10.13347/j.cnki.mkaq.2016.09.018. 

6. Coal Eng. Wang 47 3 65 2015 Analysis and prevention measures for support inclining in fully mechanized working face of Renlou coal mine 

7. Chin. J. Rock Mech. Eng. Wang 37 S2 4125 2018 Analysis on supporting principle and its application of powered support in large inclined fully mechanized face based on balance of rigid and flexible combined overturning moment 

8. Coal Sci. Technol. Li 47 10 167 2019 Study on autonomic tilting and offsetting technology of hydraulic support in fully-mechanized working face 

9. Arab. J. Sci. Eng. Wang 46 12 11739 2021 10.1007/s13369-021-05689-2 A new method for measuring the attitude and straightness of hydraulic support groups based on point clouds 

   상세보기

10. IEEE Access Zhang 7 181842 2019 10.1109/ACCESS.2019.2958981 New method and experiment for detecting relative position and posture of the hydraulic support 

    상세보기

11. J. China. Coal Soc. Wang 44 2 349 2019 Coal mine intellectualization: The core technology of high quality development 

12. Int. J. Min. Sci. Technol. Ralston 27 5 733 2017 10.1016/j.ijmst.2017.07.027 Longwall automation: trends, challenges and opportunities 

    상세보기

13. Coal Sci. Technol Zhang 48 7 168 2020 Research summary on digital twin technology for smart mines 

14. Min. Technol. Xie 128 2 77 2019 10.1080/25726668.2019.1569367 Virtual monitoring method for hydraulic supports based on digital twin theory 

    상세보기

15. Comput. Int. Manu. System. Xie 25 6 1381 2019 Design and operation mode of production system of fully mechanized coal mining face based on digital twin theory 

16. China. J. Eng. Des. Xie 24 4 373 2017 Research of seamless linkage method for powered support components under VR environment 

17. Comput. Geo. Jia 124 72 2019 10.1016/j.cageo.2018.12.008 Effective coal seam surface modeling with an improved anisotropy-based, multiscale interpolation method 

    상세보기

18. Sci. Rep. Zhao 11 21374 2021 10.1038/s41598-021-00709-5 Construction and application of a high precision 3D simulation model for geomechanics of the complex coal seam 

    상세보기

19. J. China. Coal. Soc. Cheng 44 8 2285 2019 Cascade construction of geological model of longwall panel for intelligent precision coal mining and its key technology 

20. Coal Min. Mach. Xu 40 9 11 2019 Design of attitude angle measurement system for hydraulic support based on machine vision 

21. Measurement Liang 138 305 2019 10.1016/j.measurement.2019.02.060 A fiber Bragg grating tilt sensor for posture monitoring of hydraulic supports in coal mine working face 

    상세보기

22. Proc. Safety. Env. Prot. Muduli 109 564 2017 10.1016/j.psep.2017.04.030 A novel wireless sensor network deployment scheme for environmental monitoring in longwall coal mines 

    상세보기

23. Int. J. Coal Sci. Technol. Xie 9 41 2022 A virtual test and evaluation method for fully mechanized mining production system with different smart levels 

24. Adv. Eng. Inform. Xie 53 101694 2022 10.1016/j.aei.2022.101694 A digital smart product service system and a case study of the mining industry: MSPSS 

    상세보기

25. Comput. Ind. Eng. Xie 168 108050 2022 10.1016/j.cie.2022.108050 Framework for a closed-loop cooperative human Cyber-Physical System for the mining industry driven by VR and AR: MHCPS 

    상세보기

26. S. Ge, F. Zhang, S. Wang, Z. Wang, Digital twin for smart coal mining workface: Technological frame and construction, J. China. Coal. Soc. 45(6) (2020) 1925-1936. https://doi.org/10.13225/j.cnki.jccs.ZN20.0327. 

27. Measurement Ge 158 107743 2020 10.1016/j.measurement.2020.107743 A virtual adjustment method and experimental study of the support attitude of hydraulic support groups in propulsion state 

    상세보기

28. IEEE Trans. Instrum. Meas. Shen 70 1 2021 Collision detection of virtual powered support groups under complex floors 

    상세보기

29. J. Manu System. Qi 58 3 2021 10.1016/j.jmsy.2019.10.001 Enabling technologies and tools for digital twin 

    상세보기

30. Int. J. Adv. Manuf. Technol. Tao 94 4 3563 2018 10.1007/s00170-017-0233-1 Digital twin-driven product design, manufacturing and service with big data 

    상세보기

31. Procedia Cirp. Uhlemann 61 335 2017 10.1016/j.procir.2016.11.152 The digital twin: realizing the cyber-physical production system for industry 4.0 

    상세보기

32. IEEE China Qi 1218 2016 Study on realization technology of virtual reality for coal mining face 

33. J. Li, S. Jiang, J. Xie, M. Sun, Construction method of the dynamic 3-D geological model based on shearer cutting path, J. Northeast. Univ. (Nat. Sci.) 42(5) (2021) 706-712. https://doi.org/10.13199/j.cnki.cst.2022-0147. 

34. J. Li, M. Li, J. Xie, X. Wang, X. Zhang, Key technologies of virtual monitoring driven by distributed real-time running data for hydraulic support group, Trans. Beij. Inst. Technol. 41(10) (2021) 1023-1033. https://doi.org/10.15918/j.tbit1001-0645.2020.191.