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煤矿井下钻探数字化监测系统

张幼振 范强 陈龙 陈果 税洋 李旺年

张幼振,范强,陈龙,等. 煤矿井下钻探数字化监测系统[J]. 工矿自动化,2024,50(7):173-178.  doi: 10.13272/j.issn.1671-251x.2023120075
引用本文: 张幼振,范强,陈龙,等. 煤矿井下钻探数字化监测系统[J]. 工矿自动化,2024,50(7):173-178.  doi: 10.13272/j.issn.1671-251x.2023120075
ZHANG Youzhen, FAN Qiang, CHEN Long, et al. Digital monitoring system for underground drilling in coal mines[J]. Journal of Mine Automation,2024,50(7):173-178.  doi: 10.13272/j.issn.1671-251x.2023120075
Citation: ZHANG Youzhen, FAN Qiang, CHEN Long, et al. Digital monitoring system for underground drilling in coal mines[J]. Journal of Mine Automation,2024,50(7):173-178.  doi: 10.13272/j.issn.1671-251x.2023120075

煤矿井下钻探数字化监测系统

doi: 10.13272/j.issn.1671-251x.2023120075
基金项目: 国家重点研发计划项目(2022YFB4703600);中国煤炭科工集团科技创新创业资金专项项目(2022-2-TD-ZD006,2023-2-TD-ZD002);中煤科工西安研究院(集团)有限公司揭榜挂帅项目(2021XAYJB01)。
详细信息
    作者简介:

    张幼振(1976—),男,宁夏石嘴山人,研究员,博士,博士研究生导师,现从事煤矿钻探技术与装备方面的研究工作,E-mail:zhangyouzhen@cctegxian.com

  • 中图分类号: TD67

Digital monitoring system for underground drilling in coal mines

  • 摘要: 针对煤矿井下钻探存在孔底工程参数测量困难、钻探数据准确性和完整性不足、钻探数据融合应用不够等问题,设计了一种煤矿井下钻探数字化监测系统。该系统由数据来源层、虚拟模型层、数据处理层和钻探服务层构成:数据来源层为虚拟模型层提供数据支撑,虚拟模型层通过仿真模拟分析生成新的数据并反馈至数据来源层;数据处理层接收到数据来源层和虚拟模型层提供的数据后,进行数据清洗、转换及合并等处理;钻探服务层通过后台数据管理端的权限设置,为不同层级用户提供数据显示、查询、分析、报警等服务。将钻探数据按时序特征分为事前数据(钻探施工之前根据钻孔设计资料和施工方案等获取的数据)、实时数据(包括钻探过程设备实时监测的参数和钻场视频等)和延时数据(孔底随钻测量装置采集的参数),针对这3类钻探数据设计了数据处理流程,并建立了由接入层、汇聚层和核心层组成的系统通信网络架构。工程实践结果表明:该系统实现了煤矿井下钻探施工数据的采集、传输、显示与动态管理,满足钻探施工过程监测和数据管理的需求,具有较好的实时性和准确性。该系统为煤矿井下钻探智能化施工和精细化管理提供了技术支撑。

     

  • 图  1  煤矿井下钻探数字化监测系统架构

    Figure  1.  Architecture of digital monitoring system for underground drilling in coal mine

    图  2  煤矿井下钻探数据处理流程

    Figure  2.  Data processing process of underground drilling data in coal mine

    图  3  煤矿井下钻探数字化监测系统通信网络架构

    Figure  3.  Communication network architecture of digital monitoring system for underground drilling in coal mine

    图  4  钻场监测设备布置

    Figure  4.  Layout of monitoring equipment on drilling site

    图  5  钻孔模型与钻场视频显示界面

    Figure  5.  Display interface of drilling model and drilling field video

    表  1  钻探数据分类

    Table  1.   Classification of drilling data

    数据类型 主要参数
    事前数据 钻场信息、钻具参数、钻机型号等
    实时数据 钻场环境参数、钻场视频、钻机运行参数等
    延时数据 钻孔轨迹参数、孔底工程参数、地质导向参数等
    下载: 导出CSV
  • [1] 王国法,刘峰,庞义辉,等. 煤矿智能化——煤炭工业高质量发展的核心技术支撑[J]. 煤炭学报,2019,44(2):349-357.

    WANG Guofa,LIU Feng,PANG Yihui,et al. Coal mine intellectualization:the core technology of high quality development[J]. Journal of China Coal Society,2019,44(2):349-357.
    [2] 范京道,李川,闫振国. 融合5G技术生态的智能煤矿总体架构及核心场景[J]煤炭学报,2020,45(6):1949-1958.

    FAN Jingdao,LI Chuan,YAN Zhenguo. Overall architecture and core scenario of a smart coal mine in-corporating 5G technology ecology[J]. Journal of China Coal Society,2020,45(6):1949-1958.
    [3] 丁恩杰,俞啸,夏冰,等. 矿山信息化发展及以数字孪生为核心的智慧矿山关键技术[J]. 煤炭学报,2022,47(1):564-578.

    DING Enjie,YU Xiao,XIA Bing,et al. Development of mine informatization and key technologies of intelligent mines[J]. Journal of China Coal Society,2022,47(1):564-578.
    [4] 孙继平. 煤矿信息化自动化新技术与发展[J]. 煤炭科学技术,2016,44(1):19-23,83.

    SUN Jiping. New technology and development of mine informatization and automation[J]. Coal Science and Technology,2016,44(1):19-23,83.
    [5] 赵亚军,郁光辉,徐汉青. 6G移动通信网络:愿景、挑战与关键技术[J]. 中国科学:信息科学,2019,49(8):963-987. doi: 10.1360/N112019-00033

    ZHAO Yajun,YU Guanghui,XU Hanqing. 6G mobile communication networks:vision,challenges,and key technologies[J]. Scientia Sinica Informationis,2019,49(8):963-987. doi: 10.1360/N112019-00033
    [6] 陆银龙,冯旭阳,吴开智,等. 煤矿井下巷道注浆智能数字化在线监测系统研发与应用[J]. 采矿与安全工程学报,2022,39(2):347-358.

    LU Yinlong,FENG Xuyang,WU Kaizhi,et al. Development and application of online intelligent digital monitoring system for grouting in underground roadway of coal mine[J]. Journal of Mining & Safety Engineering,2022,39(2):347-358.
    [7] 郭金刚,李化敏,王祖洸,等. 综采工作面智能化开采路径及关键技术[J]. 煤炭科学技术,2021,49(1):128-138.

    GUO Jingang,LI Huamin,WANG Zuguang,et al. Path and key technologies of intelligent mining in fully-mechanized coal mining face[J]. Coal Science and Technology,2021,49(1):128-138.
    [8] 曹哲哲,王江龙. 黄陵二号煤矿多网融合通信系统设计[J]. 陕西煤炭,2023,42(5):175-179. doi: 10.3969/j.issn.1671-749X.2023.05.038

    CAO Zhezhe,WANG Jianglong. Design of multi-network integrated communication system of Huangling No. 2 Coal Mine[J]. Shaanxi Coal,2023,42(5):175-179. doi: 10.3969/j.issn.1671-749X.2023.05.038
    [9] 袁晓明,郝明锐. 煤矿辅助运输机器人关键技术研究[J]. 工矿自动化,2020,46(8):8-14.

    YUAN Xiaoming,HAO Mingrui. Research on key technologies of coal mine auxiliary transportation robot[J]. Industry and Mine Automation,2020,46(8):8-14.
    [10] 王天龙,马斌,董洪波. 煤矿用自动化钻机远程监测系统研制[J]. 煤田地质与勘探,2022,50(1):80-85. doi: 10.12363/issn.1001-1986.21.12.0723

    WANG Tianlong,MA Bin,DONG Hongbo. Development of a remote monitoring system for coal mine automatic drilling rigs[J]. Coal Geology & Exploration,2022,50(1):80-85. doi: 10.12363/issn.1001-1986.21.12.0723
    [11] 张始斋,王庆文. ZYWL−4000SY型遥控钻机设计及关键技术研究[J]. 煤炭科学技术,2021,49(3):129-134.

    ZHANG Shizhai,WANG Qingwen. Design and key technology research of ZYWL-4000SY remote control drilling rig[J]. Coal Science and Technology,2021,49(3):129-134.
    [12] 方鹏,姚克,王松. ZZJ127(A)煤矿定向钻机参数监测系统[J]. 煤矿安全,2019,50(5):134-137.

    FANG Peng,YAO Ke,WANG Song. Parameter monitoring system for ZZJ127(A) directional drilling rig in coal mine[J]. Safety in Coal Mines,2019,50(5):134-137.
    [13] 郑付亮. 智能化打钻视频管理系统在白坪煤矿瓦斯治理中的应用[J]. 煤矿机械,2023,44(6):144-147.

    ZHENG Fuliang. Application of intelligent drilling video management system in gas control of Baiping Coal Mine[J]. Coal Mine Machinery,2023,44(6):144-147.
    [14] 李凡. VDSL2技术在煤矿井下瓦斯抽放钻场视频监控系统中的应用[J]. 中国煤炭,2019,45(5):34-40. doi: 10.3969/j.issn.1006-530X.2019.05.007

    LI Fan. Application of VDSL2 technology in video monitoring system of gas drainage drilling field in underground coal mine[J]. China Coal,2019,45(5):34-40. doi: 10.3969/j.issn.1006-530X.2019.05.007
    [15] 高瑞,郝乐,刘宝,等. 基于改进ResNet网络的井下钻杆计数方法[J]. 工矿自动化,2020,46(10):32-37.

    GAO Rui,HAO Le,LIU Bao,et al. Research on underground drill pipe counting method based on improved ResNet network[J]. Industry and Mine Automation,2020,46(10):32-37.
    [16] 石智军,姚克,姚宁平,等. 我国煤矿井下坑道钻探技术装备40年发展与展望[J]. 煤炭科学技术,2020,48(4):1-34.

    SHI Zhijun,YAO Ke,YAO Ningping,et al. 40 years of development and prospect on underground coal mine tunnel drilling technology and equipment in China[J]. Coal Science and Technology,2020,48(4):1-34.
    [17] 姚宁平,吴敏,陈略峰,等. 煤矿坑道钻进过程智能优化与控制技术[J]. 煤田地质与勘探,2023,51(9):1-9. doi: 10.12363/issn.1001-1986.22.04.0214

    YAO Ningping,WU Min,CHEN Lüefeng,et al. Intelligent optimization and control technology for drilling process of coal mine tunnels[J]. Coal Geology & Exploration,2023,51(9):1-9. doi: 10.12363/issn.1001-1986.22.04.0214
    [18] 范强,张幼振,陈龙,等. 煤矿井下定向钻探数字化平台技术研究[J]. 煤矿安全,2023,54(10):212-218.

    FAN Qiang,ZHANG Youzhen,CHEN Long,et al. Research on digital platform technology of directional drilling in coal mine[J]. Safety in Coal Mines,2023,54(10):212-218.
    [19] 张幼振,范涛,阚志涛,等. 煤矿巷道掘进超前钻探技术应用与发展[J]. 煤田地质与勘探,2021,49(5):286-293.

    ZHANG Youzhen,FAN Tao,KAN Zhitao,et al. Application and development of advanced drilling technology for coal mine roadway heading[J]. Coal Geology & Exploration,2021,49(5):286-293.
    [20] SHEIKHI M A,NIKOOFARD A,KHAKI-SEDIGH A. Control of managed pressure drilling systems using nonlinear predictive generalized minimum variance approach based on a Volterra model[J]. ISA Transactions,2022,128:380-390. doi: 10.1016/j.isatra.2021.11.022
    [21] 范海鹏,吴敏,曹卫华,等. 基于钻进状态监测的智能工况识别[J]. 探矿工程(岩土钻掘工程),2020,47(4):106-113.

    FAN Haipeng,WU Min,CAO Weihua,et al. Intelligent drilling mode identification based on drilling state monitoring while drilling[J]. Exploration Engineering (Rock & Soil Drilling and Tunneling),2020,47(4):106-113.
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出版历程
  • 收稿日期:  2023-12-25
  • 修回日期:  2024-07-21
  • 网络出版日期:  2024-08-01

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