LI Quanxin, LIU Fei, FANG Ju. Analysis of development framework of intelligent coal mine underground drilling technology[J]. Industry and Mine Automation, 2020, 46(10): 9-13. doi: 10.13272/j.issn.1671-251x.17662
Citation: LI Quanxin, LIU Fei, FANG Ju. Analysis of development framework of intelligent coal mine underground drilling technology[J]. Industry and Mine Automation, 2020, 46(10): 9-13. doi: 10.13272/j.issn.1671-251x.17662

Analysis of development framework of intelligent coal mine underground drilling technology

doi: 10.13272/j.issn.1671-251x.17662
  • Publish Date: 2020-09-20
  • Development and application of intelligent drilling tool and acquisition and analysis of drilling data are outstanding characteristics of intelligent underground drilling. However,research foundation of intelligent underground drilling in China's coal mine is weaker at the present stage, and scientific and elaborate technical means of intelligent underground drilling is lacked as well as systematic development framework. For the above problems, the research status of intelligent underground drilling technology in China's coal mine is expounded, and development achievements and shortcomings of intelligent coal mine underground drilling are summarized from the aspects of automatic drilling rig, guided drilling technology, multi-parameter acquisition in hole, intelligent analysis and decision-making, etc. On this basis, the development framework of intelligent coal mine underground drilling technology is proposed, and it is pointed out that the development framework should be focused on accurate guidance system, data measurement system, data transmission system, intelligent decision-making system and automatic control system, so as to create an integrated and intelligent underground drilling platform from hole bottom to hole ostiole and from underground to ground. Meanwhile, a closed-loop control system of parameter measurement, intelligent decision-making and controlling execution for underground drilling process should be constructed, which real-timely transmits measurement parameters while drilling in hole bottom to remote ground data support center through data transmission system, cooperatively analyzes geological parameters, geometrical parameters and engineering parameters by use of artificial intelligence algorithms, and updates 3D visual geological model real-timely, so as to draw up intelligent adjustment and control strategies of drilling technology parameters and borehole trajectory for controlling intelligent underground drilling rig to run.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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