Volume 49 Issue 5
May  2023
Turn off MathJax
Article Contents
Article Navigation >  Journal of Mine Automation  > 2023  >  49(5): 147-152
GAO Yu, LIU Jia. Optimization of coal roadway heading operation based on human-machine relationship[J]. Journal of Mine Automation，2023，49(5)：147-152.  doi: 10.13272/j.issn.1671-251x.2022070069
Citation: GAO Yu, LIU Jia. Optimization of coal roadway heading operation based on human-machine relationship[J]. Journal of Mine Automation，2023，49(5)：147-152.  doi: 10.13272/j.issn.1671-251x.2022070069
shu

Optimization of coal roadway heading operation based on human-machine relationship

doi: 10.13272/j.issn.1671-251x.2022070069
  • 1.

    Jinneng Holding Coal Industry Group Madaotou Coal Industry Co., Ltd., Datong 037101, China

  • 2.

    School of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030000, China

  • Received Date: 2022-07-26
  • Rev Recd Date: 2023-05-17
    • Available Online: 2023-05-24
    Abstract
  • Currently, research on improving the efficiency of coal roadway heading mostly focuses on improving heading equipment, with less consideration given to the working procedures and personnel allocation of coal roadway heading. Maintaining a harmonious and stable human-machine relationship is the key to ensuring the efficiency of coal roadway heading. Taking the 2404 air inlet roadway of 8404 working face in Madaotou Coal Mine as the engineering background, and considering the human-machine matching relationship, an optimization plan for coal roadway heading operation is proposed. The coal cutting support process of the anchor excavator has been optimized. A support system for the heading roadway with non-aligned top and side anchor spaces has been proposed. This means that after two consecutive cycles of footage, the anchor heading unit is not retracted. The top anchor is 300 mm ahead of the side anchor to save roadway support time. The numerical simulation results indicate that the stress field of non-aligned support with top and side anchor bolts in space is not significantly different from that of aligned support with top and side anchor bolts in space. It verifies the reliability of the non-aligned support system with top and side anchor bolts in space. The process of coal roadway heading is optimized through the multi-process parallel operation. The task volume of each process is calculated to optimize the personnel allocation related to each process. The engineering application results show that after optimizing the coal roadway heading operation based on the human-machine relationship, the daily cycle number increases from 10 to 15, the monthly footage increases from 300 m to 450 m, the worker efficiency increases from 0.1 m/worker to 0.14 m/worker, and the cycle is reduced from 80 minutes to 44.6 minutes. It significantly improves the efficiency of coal roadway heading.

     

    • FullText(HTML)
  • loading
    • References(21)
  • [1]
    王国法,庞义辉,任怀伟,等. 煤炭安全高效综采理论、技术与装备的创新和实践[J]. 煤炭学报,2018,43(4):903-913.

    WANG Guofa,PANG Yihui,REN Huaiwei,et al. Coal safe and efficient mining theory,technology and equipment innovation practice[J]. Journal of China Coal Society,2018,43(4):903-913.
    [2]
    查太东. 煤矿快速掘进系统现状及发展趋势[J]. 煤炭技术,2021,40(6):30-32.

    ZHA Taidong. Development trend and situation of speedy drivage system in coal mine[J]. Coal Technology,2021,40(6):30-32.
    [3]
    张卫国. 复杂地质条件下煤巷快速掘进技术研究[J]. 机械管理开发,2022,37(3):118-119.

    ZHANG Weiguo. Research on rapid coal tunneling technology under complex geological conditions[J]. Mechanical Management and Development,2022,37(3):118-119.
    [4]
    刘跃东,林健,杨建威,等. 基于掘锚一体化特厚顶煤巷道快速掘进与支护技术[J]. 煤炭科学技术,2017,45(10):60-65.

    LIU Yuedong,LIN Jian,YANG Jianwei,et al. Rapid excavation and supporting technology of ultra-thick top coal roadway based on excavation and bolting integration[J]. Coal Science and Technology,2017,45(10):60-65.
    [5]
    罗文,杨俊彩. 神东矿区快速掘进装备与技术研究现状及展望[J]. 工矿自动化,2021,47(增刊2):32-38.

    LUO Wen,YANG Juncai. Research status and prospects on rapid tunneling equipment and technology in Shendong Mining Area[J]. Industry and Mine Automation,2021,47(S2):32-38.
    [6]
    闫魏锋,石亮. 我国煤巷掘进技术与装备发展现状[J]. 煤矿机械,2018,39(12):1-3.

    YAN Weifeng,SHI Liang. Development status of coal roadway tunneling equipment and technology in China[J]. Coal Mine Machinery,2018,39(12):1-3.
    [7]
    惠兴田,康高鹏. 煤巷快速掘进及超前临时支护研究[J]. 煤炭技术,2019,38(1):7-10.

    HUI Xingtian,KANG Gaopeng. Research on quick tunneling and leading temporary support in coal roadway[J]. Coal Technology,2019,38(1):7-10.
    [8]
    张登山. 快速掘进系统研发及应用[J]. 煤炭科学技术,2015,43(增刊2):96-99.

    ZHANG Dengshan. Development and application on rapid driving system[J]. Coal Science and Technology,2015,43(S2):96-99.
    [9]
    王一超. 煤巷掘锚一体化掘进技术研究与应用[J]. 能源与节能,2019(5):156-157,161.

    WANG Yichao. Research and application of integrated driving technology of coal roadway driving and anchoring[J]. Energy and Energy Conservation,2019(5):156-157,161.
    [10]
    李富强. 黄白茨煤矿边掘边锚快速掘进系统设计[J]. 工矿自动化,2021,47(增刊1):64-66,95.

    LI Fuqiang. Design of fast driving system with anchor while driving in Huangbaici Coal Mine[J]. Industry and Mine Automation,2021,47(S1):64-66,95.
    [11]
    韩阳红. 煤矿巷道高效掘进技术分析[J]. 能源与节能,2022(8):125-127.

    HAN Yanghong. Efficient tunneling technology of coal mine roadways[J]. Energy and Energy Conservation,2022(8):125-127.
    [12]
    任瑞平. 煤巷掘锚一体机化快速掘进技术与应用分析[J]. 神华科技,2018,16(7):39-40,47.

    REN Ruiping. Quick digging technology and application analysis of integration of digging and anchoring machine of coal road[J]. Shenhua Technology,2018,16(7):39-40,47.
    [13]
    张忠国. 煤巷快速掘进系统的发展趋势与关键技术[J]. 煤炭科学技术,2016,44(1):55-60.

    ZHANG Zhongguo. Development tendency and key technology of mine seam gateway rapid driving system[J]. Coal Science and Technology,2016,44(1):55-60.
    [14]
    王国法,王虹,任怀伟,等. 智慧煤矿2025情景目标和发展路径[J]. 煤炭学报,2018,43(2):295-305.

    WANG Guofa,WANG Hong,REN Huaiwei,et al. 2025 scenarios and development path of intelligent coal mine[J]. Journal of China Coal Society,2018,43(2):295-305.
    [15]
    王虹,王建利,张小峰. 掘锚一体化高效掘进理论与技术[J]. 煤炭学报,2020,45(6):2021-2030.

    WANG Hong,WANG Jianli,ZHANG Xiaofeng. Theory and technology of efficient roadway advance with driving and bolting integration[J]. Journal of China Coal Society,2020,45(6):2021-2030.
    [16]
    李平. 煤矿巷道掘锚一体化快速掘进技术研究[J]. 能源与环保,2021,43(2):161-166.

    LI Ping. Research on integrated rapid excavation technology of tunnel driving and anchoring in coal mine[J]. China Energy and Environmental Protection,2021,43(2):161-166.
    [17]
    温福平,杨永刚,于云飞,等. 煤巷掘探支运一体化快速作业线应用技术[J]. 煤炭技术,2021,40(7):9-12.

    WEN Fuping,YANG Yonggang,YU Yunfei,et al. Application technology of coal roadway excavation,exploration,support and transportation integrated rapid operation line[J]. Coal Technology,2021,40(7):9-12.
    [18]
    张国锋. 煤矿掘锚一体机应用及改进分析[J]. 能源技术与管理,2019,44(2):139-140,146.

    ZHANG Guofeng. Application of the integral driving-anchor machine and its improvement[J]. Energy Technology and Management,2019,44(2):139-140,146.
    [19]
    陈宇,张洋,耿继业,等. 高应力煤巷掘锚护一体化快速掘进工序优化与支护技术[J]. 煤矿安全,2019,50(7):120-123.

    CHEN Yu,ZHANG Yang,GENG Jiye,et al. Procedure optimization and support technology of tunneling-anchoring-shielding integration speedy drivage for high stress coal roadway[J]. Safety in Coal Mines,2019,50(7):120-123.
    [20]
    陈玉,颜声远. 基于人机工程的煤矿机械人机界面安全评价[J]. 黑龙江科技大学学报,2015,25(6):692-696.

    CHEN Yu,YAN Shengyuan. Human-machine interface safety evaluation of coal mine machinery based on human-machine engineering[J]. Journal of Heilongjiang University of Science and Technology,2015,25(6):692-696.
    [21]
    王帅. 巷道掘进施工人机环风险评价指标的建立[J]. 内蒙古煤炭经济,2017(增刊1):85-86.

    WANG Shuai. Establishment of man-machine environment risk assessment index for tunneling construction[J]. Inner Mongolia Coal Economy,2017(S1):85-86.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)  / Tables(2)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1026) PDF downloads(19) Cited by()
    Proportional views
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co. Ltd.  Visits：    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return