Research on key technologies of intelligent working face in coal

被引:0
|
作者
Peng C. [1 ,2 ]
Shiyang P. [1 ]
Tao Y. [1 ]
Xuexi C. [1 ]
Pengfei W. [1 ]
机构
[1] School of Safety Engineering, North China Institute of Science and Technology, Langfang
[2] State Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo, Henan
关键词
Fully mechanised mining; Intelligent mining; Intelligent working face; Large mining height; Unmanned coalface;
D O I
10.1504/IJWMC.2021.117565
中图分类号
学科分类号
摘要
Mining of fully mechanised intelligent working face with large mining height (MFMIWF-LMH) is a technology which allows the mining of 3.5-8.8 m thick coal seams at one time using a whole set of fully mechanised mining intelligent equipment. The MFMIWF-LMH is characterised by complex production process, numerous types of equipment and severe mine pressure. In terms of mine pressure appearance, MFMIWF-LMH is likely to undergo a significant increase in the failure strength of surrounding rock, an obvious rise of the abutment pressure and peak value, and rib spalling and roof fall of coal wall. The study analyses the problems existing in MFMIWF-LMH and puts forward targeted solutions. In addition, it is proposed in the study that the system of MFMIWF-LMH is a complex systematic engineering whose key control technologies include general control network technology, coupling control technology of surrounding rock support, high-definition visualisation technology, rapid support-moving control technology, and equipment 3D virtual reality technology in the working face. The field engineering practice is a beneficial exploration for MFMIWF-LMH. Copyright © 2021 Inderscience Enterprises Ltd.
引用
收藏
页码:363 / 371
页数:8
相关论文
共 50 条
  • [1] Research on the architecture and key technologies of intelligent coal mining system
    Huang, Zenghua
    Wang, Feng
    Zhang, Shouxiang
    Meitan Xuebao/Journal of the China Coal Society, 2020, 45 (06): : 1959 - 1972
  • [2] Research on 5G key technologies in intelligent coal mining
    Hu Y.
    Zhao G.
    Wu Q.
    Meitan Kexue Jishu/Coal Science and Technology (Peking), 2022, 50 (02): : 223 - 230
  • [3] Research status and prospects of key technologies for intelligent rapid excavation in coal mines
    Mao J.
    Yang R.
    Xie M.
    Lu J.
    Wang H.
    Liu Z.
    Wang S.
    Meitan Xuebao/Journal of the China Coal Society, 2024, 49 (02): : 1214 - 1229
  • [4] Analysis on key technologies of intelligent coal mine and intelligent mining
    Wang G.
    Zhao G.
    Ren H.
    Meitan Xuebao/Journal of the China Coal Society, 2019, 44 (01): : 34 - 41
  • [5] Research and test on key technologies of intelligent monitoring and control driven by AR/VR for fully mechanized coal-mining face
    Wang, Xuewen
    Liu, Shuguang
    Wang, Xuesong
    Xie, Jiacheng
    Wang, Binbin
    Wang, Zhenwei
    Meitan Xuebao/Journal of the China Coal Society, 2022, 47 (02): : 969 - 985
  • [6] Key technologies of multi-parameter accurate perception and security decision in intelligent working face
    Fang X.
    Liang M.
    Li S.
    Zhang L.
    Yan H.
    Xie X.
    Yu R.
    Wu G.
    Lü J.
    1600, China Coal Society (45): : 493 - 508
  • [7] Coal mine intelligent safety system and key technologies
    Li S.
    Xue G.
    Fang X.
    Yang Q.
    He C.
    Han S.
    Kang Y.
    Meitan Xuebao/Journal of the China Coal Society, 2020, 45 (06): : 2320 - 2330
  • [8] Key technologies and system of adaptive coal cutting in transparent intelligent fully mechanized coal mining face based on precisegeodetic coordinates
    Mao, Shanjun
    Lu, Shouming
    Li, Cunlu
    Chen, Huazhou
    Zhang, Pengpeng
    Fan, Jihong
    Li, Xinchao
    Chen, Jinchuan
    Meitan Xuebao/Journal of the China Coal Society, 2022, 47 (01): : 515 - 526
  • [9] Research on the key technologies of intelligent vehicle control
    Cheng, Wenming
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL, 2015, 125 : 603 - 610
  • [10] Research On Key Technologies Of Equipment Support Intelligent System
    Chen, Jian
    Wang, Yan
    Jiang, Xuepeng
    5TH ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND ARTIFICIAL INTELLIGENCE (ISAI2020), 2020, 1575