煤矿坑道智能化钻探技术发展框架分析

李泉新, 刘飞, 方俊

李泉新,刘飞,方俊.煤矿坑道智能化钻探技术发展框架分析[J].工矿自动化,2020,46(10):9-13.. DOI: 10.13272/j.issn.1671-251x.17662
引用本文: 李泉新,刘飞,方俊.煤矿坑道智能化钻探技术发展框架分析[J].工矿自动化,2020,46(10):9-13.. DOI: 10.13272/j.issn.1671-251x.17662
LI Quanxin, LIU Fei, FANG Ju. Analysis of development framework of intelligent coal mine underground drilling technology[J]. Journal of 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]. Journal of Mine Automation, 2020, 46(10): 9-13. DOI: 10.13272/j.issn.1671-251x.17662

煤矿坑道智能化钻探技术发展框架分析

基金项目: 

“十三五”国家科技重大专项资助项目(2016ZX05067-001-003)

详细信息
  • 中图分类号: TD712

Analysis of development framework of intelligent coal mine underground drilling technology

  • 摘要: 坑道智能化钻探的显著特征在于智能钻具的研发与应用和钻探数据的获取与分析,但现阶段我国煤矿坑道智能化钻探的研究基础较为薄弱,坑道智能化钻探缺乏科学化、精细化的技术手段,且缺乏系统性发展框架。针对该问题,阐述了我国煤矿坑道智能化钻探技术研究现状,从自动化钻机、导向钻进技术、孔内多参数获取、智能分析决策等方面总结了煤矿坑道智能化钻探发展成果与不足;在此基础上提出了煤矿坑道智能化钻探技术发展框架,指出应围绕精准导向系统、数据测量系统、数据传输系统、智能决策系统和自动控制系统,打造从孔底到孔口、从井下到地面的一体化坑道智能化钻探平台,构建“参数测量-智能决策-控制执行”坑道钻进过程闭环控制系统:通过数据传输系统将孔底随钻测量参数实时传输至地面远程数据支持中心,采用人工智能算法对地质参数、几何参数和工程参数进行协同分析,并实时更新三维可视化地质模型,制定钻进工艺参数和钻孔轨迹智能调控策略,控制井下智能钻机工作。
    Abstract: 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.
  • 期刊类型引用(7)

    1. 刘泽朝,李敬兆,郑昌陆,王国锋. 基于DFFRLS-AUKF的单轨吊车动态倾角辨识方法研究. 电子测量与仪器学报. 2024(02): 101-111 . 百度学术
    2. 陈峤鹰,傅哲,张高翔,李青,牛永峰. 基于Transformer的单轨吊多模态数据融合决策技术. 煤矿机电. 2024(03): 33-37 . 百度学术
    3. 马宏伟,段优优,薛旭升,孙思雅,张烨,王川伟,郭逸风,崔闻达. 煤矿智能单轨吊研究进展与关键技术. 工矿自动化. 2023(06): 57-67 . 本站查看
    4. 李宗伟. 基于非视距误差抑制的矿井轨道机车定位方法研究. 工矿自动化. 2023(07): 75-82 . 本站查看
    5. 王毅颖,顾英,李俊庆,张宏财,史艳楠,王瀚秋. 煤矿井下两级膨胀气动单轨吊研究应用. 煤炭工程. 2022(04): 74-78 . 百度学术
    6. 张成林,王亚慧,张秋逸. 基于捷联惯导的蛇形管道机器人定位算法. 科学技术与工程. 2022(12): 4872-4878 . 百度学术
    7. 杨金衡,宋单阳,田慕琴,宋建成,许春雨. 基于自适应卡尔曼滤波的双惯导采煤机定位方法. 工矿自动化. 2021(07): 14-20+28 . 本站查看

    其他类型引用(3)

计量
  • 文章访问数:  122
  • HTML全文浏览量:  13
  • PDF下载量:  17
  • 被引次数: 10
出版历程
  • 刊出日期:  2020-09-19

目录

    /

    返回文章
    返回