Volume 50 Issue 9
Sep.  2024
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Article Navigation >  Journal of Mine Automation  > 2024  >  50(9): 28-40
WANG Zuguang, WANG Shen, LI Dongyin, et al. Study on precise control of coal caving mechanisms based on the kinematics of support structures[J]. Journal of Mine Automation，2024，50（9）：28-40.  doi: 10.13272/j.issn.1671-251x.18212
Citation: WANG Zuguang, WANG Shen, LI Dongyin, et al. Study on precise control of coal caving mechanisms based on the kinematics of support structures[J]. Journal of Mine Automation，2024，50（9）：28-40.  doi: 10.13272/j.issn.1671-251x.18212
shu

Study on precise control of coal caving mechanisms based on the kinematics of support structures

doi: 10.13272/j.issn.1671-251x.18212
  • 1.

    School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China

  • 2.

    School of Medicine, Henan Polytechnic University, Jiaozuo 454000, China

  • 3.

    Collaborative Innovation Center for Safe Production and Clean and Efficient Utilization of Coal, Jiaozuo 454000, China

  • 4.

    Postdoctoral Station of Geological Resources and Geological Engineering, Henan Polytechnic University, Jiaozuo 454000, China

  • 5.

    Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China

  • Received Date: 2024-07-31
  • Rev Recd Date: 2024-09-20
    • Available Online: 2024-10-17
    Abstract
  • Precise control of the coal caving mechanism is a crucial foundation for realizing intelligent and unmanned top coal caving mining. The spatial relationship between the coal caving mechanism and the rear scraper conveyor, as well as the top coal influence of the hydraulic support's posture on this spatial relationship, is key to constructing a control model for the caving support. Using the ZF17000/27.5/42D low-position top coal caving support as the research object, this study explained the spatial relationship between the coal caving mechanism and the rear scraper conveyor under different pitch angles of the support's roof and base. Based on the control logic for the opening degree of the hydraulic support's coal caving mechanism, a support posture sensing system was established, and a method for kinematic analysis of the hydraulic support's coal caving mechanism was proposed. A kinematic model for the end of the low-position hydraulic support's coal caving mechanism based on the D-H matrix was developed, and a calculation model for the opening degree of the hydraulic support's coal caving mechanism was constructed. The average calculation error was only 1.71%, meeting the accuracy requirements for field applications. A closed-loop control method for the coal caving mechanism based on posture feedback was proposed, and the coal caving decision model developed from the opening degree calculation model was applied in the field. Application results showed that during automatic coal caving, the mean square deviation of the average caving time for each support was only 0.13 minutes, with an overall caving efficiency improvement of 20%-43.9% compared to manual caving. The top coal recovery rate reached 89%, and the load on the rear scraper conveyor was more balanced, with an overload rate of only 0.73%.

     

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    • References(26)
  • [1]
    王国法,张良,李首滨,等. 煤矿无人化智能开采系统理论与技术研发进展[J]. 煤炭学报,2023,48(1):34-53.

    WANG Guofa,ZHANG Liang,LI Shoubin,et al. Progresses in theory and technological development of unmanned smart mining system[J]. Journal of China Coal Society,2023,48(1):34-53.
    [2]
    王家臣. 我国综放开采40年及展望[J]. 煤炭学报,2023,48(1):83-99.

    WANG Jiachen. 40 years development and prospect of longwall top coal caving in China[J]. Journal of China Coal Society,2023,48(1):83-99.
    [3]
    于斌,徐刚,黄志增,等. 特厚煤层智能化综放开采理论与关键技术架构[J]. 煤炭学报,2019,44(1):42-53.

    YU Bin,XU Gang,HUANG Zhizeng,et al. Theory and its key technology framework of intelligentized fully-mechanized caving mining in extremely thick coal seam[J]. Journal of China Coal Society,2019,44(1):42-53.
    [4]
    宋选民,朱德福,王仲伦,等. 我国煤矿综放开采40年:理论与技术装备研究进展[J]. 煤炭科学技术,2021,49(3):1-29.

    SONG Xuanmin,ZHU Defu,WANG Zhonglun,et al. Advances on longwall fully-mechanized top-coal caving mining technology in China during past 40 years:theory,equipment and approach[J]. Coal Science and Technology,2021,49(3):1-29.
    [5]
    范京道,金智新,王国法,等. 煤矿智能化重构人与煤空间关系研究[J]. 中国工程科学,2023,25(2):243-253.

    FAN Jingdao,JIN Zhixin,WANG Guofa,et al. Reconstructing human-coal space relationship through coalmine intellectualization[J]. Strategic Study of CAE,2023,25(2):243-253.
    [6]
    马英. 基于尾梁振动信号采集的煤矸识别智能放煤方法研究[J]. 煤矿开采,2016,21(4):40-42,25.

    MA Ying. Intelligent coal caving with gangue identification based on tail beam vibration signal collection[J]. Coal Mining Technology,2016,21(4):40-42,25.
    [7]
    张艳丽,张守祥. 基于Hilbert-Huang变换的煤矸声波信号分析[J]. 煤炭学报,2010,35(1):165-168.

    ZHANG Yanli,ZHANG Shouxiang. Analysis of coal and gangue acoustic signals based on Hilbert-Huang transformation[J]. Journal of China Coal Society,2010,35(1):165-168.
    [8]
    刘闯,李化敏,常发展,等. 微波照射-红外探测主动式煤矸识别方法[J]. 矿业研究与开发,2023,43(2):184-188.

    LIU Chuang,LI Huamin,CHANG Fazhan,et al. Active identification method of coal and gangue by microwave irradiation-infrared detection[J]. Mining Research and Development,2023,43(2):184-188.
    [9]
    牛剑峰. 综采放顶煤工作面自动放煤控制系统研究[J]. 工矿自动化,2018,44(6):27-30.

    NIU Jianfeng. Research on automatic drawing control system on fully-mechanized coal face with sublevel caving[J]. Industry and Mine Automation,2018,44(6):27-30.
    [10]
    张良,牛剑峰,代刚,等. 综放工作面煤矸自动识别系统设计及应用[J]. 工矿自动化,2014,40(9):121-124.

    ZHANG Liang,NIU Jianfeng,DAI Gang,et al. Design of automatic identification system of coal and gangue for fully-mechanized coal caving working face and its application[J]. Industry and Mine Automation,2014,40(9):121-124.
    [11]
    宋庆军,肖兴明,张天顺,等. 基于声波的放顶煤过程自动控制系统[J]. 计算机工程与设计,2015,36(11):3123-3127.

    SONG Qingjun,XIAO Xingming,ZHANG Tianshun,et al. Automatic control systems in top-coal caving based on acoustic wave[J]. Computer Engineering and Design,2015,36(11):3123-3127.
    [12]
    王家臣,潘卫东,张国英,等. 图像识别智能放煤技术原理与应用[J]. 煤炭学报,2022,47(1):87-101.

    WANG Jiachen,PAN Weidong,ZHANG Guoying,et al. Principles and applications of image-based recognition of withdrawn coal and intelligent control of draw opening in longwall top coal caving face[J]. Journal of China Coal Society,2022,47(1):87-101.
    [13]
    贺海涛,王佳豪,张海峰,等. 基于U−Net的放煤状态控制关键技术研究[J]. 煤炭科学技术,2022,50(增刊2):237-243.

    HE Haitao,WANG Jiahao,ZHANG Haifeng,et al. Calculation method of gangue content of coal gangue mixed image in fully-mechanized caving based on U-Net[J]. Coal Science and Technology,2022,50(S2):237-243.
    [14]
    范志忠,王耀辉,黄志增. 支架压力和位态模糊识别的综放放煤模式[J]. 辽宁工程技术大学学报(自然科学版),2016,35(11):1205-1211. doi: 10.11956/j.issn.1008-0562.2016.11.003

    FAN Zhizhong,WANG Yaohui,HUANG Zhizeng. Pattern of automation top-coal caving based on fuzzy recognition of support pressure and state[J]. Journal of Liaoning Technical University (Natural Science),2016,35(11):1205-1211. doi: 10.11956/j.issn.1008-0562.2016.11.003
    [15]
    杨艺,王圣文,崔科飞,等. 基于模糊深度Q网络的放煤智能决策方法[J]. 工矿自动化,2023,49(4):78-85.

    YANG Yi,WANG Shengwen,CUI Kefei,et al. Intelligent decision-making method for coal caving based on fuzzy deep Q-network[J]. Journal of Mine Automation,2023,49(4):78-85.
    [16]
    张守祥,张学亮,刘帅,等. 智能化放顶煤开采的精确放煤控制技术[J]. 煤炭学报,2020,45(6):2008-2020.

    ZHANG Shouxiang,ZHANG Xueliang,LIU Shuai,et al. Intelligent precise control technology of fully mechanized top coal caving face[J]. Journal of China Coal Society,2020,45(6):2008-2020.
    [17]
    潘卫东,李新源,员明涛,等. 基于顶煤运移跟踪仪的自动化放煤技术原理及应用[J]. 煤炭学报,2020,45(增刊1):23-30.

    PAN Weidong,LI Xinyuan,YUN Mingtao,et al. Principle and application of automatic caving technology based on top coal migration tracker[J]. Journal of China Coal Society,2020,45(S1):23-30.
    [18]
    刘长友,张宁波,郭凤岐,等. 特厚煤层综放煤-矸-岩放落流动的时序规律及识别方法[J]. 煤炭学报,2022,47(1):137-151.

    LIU Changyou,ZHANG Ningbo,GUO Fengqi,et al. Sequential rules and identification method of coal-gangue-rock caving flow in fully mechanized top-coal-caving workface of extra thick coal seam[J]. Journal of China Coal Society,2022,47(1):137-151.
    [19]
    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.
    [20]
    李东辉,李东印,王伸,等. 液压支架放煤机构安全过煤临界准则及放煤口精准控制方法研究[J]. 煤炭科学技术,2023,51(9):251-260.

    LI Donghui,LI Dongyin,WANG Shen,et al. Safe passing critical criterion for drawn top-coal on rear conveyor and accurate control approach for drawing opening dimension[J]. Coal Science and Technology,2023,51(9):251-260.
    [21]
    巨文涛,赵东升,刘佳金. 精确控制放煤机构液压系统设计研究[J]. 山西焦煤科技,2022,46(6):47-49. doi: 10.3969/j.issn.1672-0652.2022.06.013

    JU Wentao,ZHAO Dongsheng,LIU Jiajin. Design and research of hydraulic system for accurate control of coal caving mechanism[J]. Shanxi Coking Coal Science & Technology,2022,46(6):47-49. doi: 10.3969/j.issn.1672-0652.2022.06.013
    [22]
    许永祥,张金虎,佟友,等. 基于计算运动学的掩护式液压支架运动特性研究[J]. 煤矿开采,2018(4):4-7.

    XU Yongxiang,ZHANG Jinhu,TONG You,et al. Study of shield hydraulic support motion characteristics based on calculation kinematics[J]. Coal Mining Technology,2018(4):4-7.
    [23]
    张树楠,曹现刚,崔亚仲,等. 基于多传感器的液压支架直线度测量方法研究[J]. 煤矿机械,2020,41(4):56-59.

    ZHANG Shunan,CAO Xiangang,CUI Yazhong,et al. Research on straightness measurement method of hydraulic support based on multi-sensor[J]. Coal Mine Machinery,2020,41(4):56-59.
    [24]
    孙君令. 姿态数据驱动的液压支架运动状态监测技术研究[D]. 徐州:中国矿业大学,2019.

    SUN Junling. Research on monitoring technology of hydraulic support motion state driven by attitude data[D]. Xuzhou:China University of Mining and Technology,2019.
    [25]
    路绪良,闫海峰,张霖. 液压支架逆向运动学分析[J]. 工矿自动化,2018,44(10):43-47.

    LU Xuliang,YAN Haifeng,ZHANG Lin. Inverse kinematics analysis of hydraulic support[J]. Industry and Mine Automation,2018,44(10):43-47.
    [26]
    欧阳敏. 两柱放顶煤液压支架顶梁承载状态及智能监控技术研究[D]. 北京:煤炭科学研究总院,2022.

    OUYANG Min. Research on the bearing status and intelligent monitoring technology of the top beam of two pillar top caving hydraulic support[D]. Beijing:China Coal Research Institute,2022.
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