Volume 49 Issue 9
Sep.  2023
Turn off MathJax
Article Contents
Article Navigation >  Journal of Mine Automation  > 2023  >  49(9): 47-54
REN Huaiwei, ZHANG Shuai, XUE Guohua, et al. Research on the dynamic law of automatic following of hydraulic support[J]. Journal of Mine Automation，2023，49（9）：47-54.  doi: 10.13272/j.issn.1671-251x.18133
Citation: REN Huaiwei, ZHANG Shuai, XUE Guohua, et al. Research on the dynamic law of automatic following of hydraulic support[J]. Journal of Mine Automation，2023，49（9）：47-54.  doi: 10.13272/j.issn.1671-251x.18133
shu

Research on the dynamic law of automatic following of hydraulic support

doi: 10.13272/j.issn.1671-251x.18133
  • 1.

    Mining Research Branch, China Coal Research Institute, Beijing 100013, China

  • 2.

    CCTEG Coal Mining Research Institute, Beijing 100013, China

  • 3.

    Shaanxi Shanmei Huangling Mining Co., Ltd., Yan'an 727307, China

  • Received Date: 2023-06-10
  • Rev Recd Date: 2023-08-16
    • Available Online: 2023-09-28
    Abstract
  • Currently, research on the automatic following of hydraulic support in fully mechanized working faces focuses on controlling the movement of hydraulic support based on external environmental variables. It cannot maintain good results during long-term operation of the working face. Considering that changes of the external environment will ultimately be reflected in the hydraulic system, it is proposed to predict the following action time of hydraulic supports based on the pressure features of hydraulic system. Taking S1204 working face of Shaanxi Coal Mining Group Shenmu Ningtiaota Mining Co., Ltd. as the engineering background, a hydraulic system model for single support and a hydraulic system model for working face are established using AMESim software. Through simulation analysis, the dynamic change laws of parameters such as pressure and stroke of the pushing hydraulic cylinder during the simultaneous movement of advancing and sliding are obtained. It is found that the inlet pressure of pushing hydraulic cylinder is linearly related to the pulling time during the automatic following process of hydraulic support . It explains that the following action time can be predicted through the inlet pressure. The hydraulic data acquisition system for the working face is developed and installed on the experimental working face. The real-time pressure at the inlet of the pushing hydraulic cylinder during the working process of hydraulic support is obtained. The corresponding advancing time is calculated. It is found that the two have a strong linear correlation, which is consistent with the simulation results. The linear fitting method is used to obtain the relationship between the inlet pressure and the pulling time, achieving the prediction of pulling time based on hydraulic system pressure. It improves the accuracy of automatic following and reduceg reduceg the manual adjustment rate.

     

    • FullText(HTML)
  • loading
    • References(21)
  • [1]
    王国法,庞义辉,任怀伟. 煤矿智能化开采模式与技术路径[J]. 采矿与岩层控制工程学报,2020,2(1):5-19.

    WANG Guofa,PANG Yihui,REN Huaiwei. Intelligent coal mining pattern and technological path[J]. Journal of Mining and Strata Control Engineering,2020,2(1):5-19.
    [2]
    王国法,任怀伟,庞义辉,等. 煤矿智能化(初级阶段)技术体系研究与工程进展[J]. 煤炭科学技术,2020,48(7):1-27. doi: 10.13199/j.cnki.cst.2020.07.001

    WANG Guofa,REN Huaiwei,PANG Yihui,et al. Research and engineering progress of intelligent coal mine technical system in early stages[J]. Coal Science and Technology,2020,48(7):1-27. doi: 10.13199/j.cnki.cst.2020.07.001
    [3]
    高有进,杨艺,常亚军,等. 综采工作面智能化关键技术现状与展望[J]. 煤炭科学技术,2021,49(8):1-22. doi: 10.13199/j.cnki.cst.2021.08.001

    GAO Youjin,YANG Yi,CHANG Yajun,et al. Status and prospect of key technologies of intelligentization of fully-mechanized coal mining face[J]. Coal Science and Technology,2021,49(8):1-22. doi: 10.13199/j.cnki.cst.2021.08.001
    [4]
    高卫勇,张敏娟. 综采工作面液压支架跟机自动化工艺研究[J]. 工矿自动化,2018,44(11):14-17. doi: 10.13272/j.issn.1671-251x.2018050040

    GAO Weiyong,ZHANG Minjuan. Research on following automation technology of hydraulic support on fully-mechanized coal mining face[J]. Industry and Mine Automation,2018,44(11):14-17. doi: 10.13272/j.issn.1671-251x.2018050040
    [5]
    任怀伟,张帅,张德生,等. 液压支架精准推移与快速跟机技术研究现状及发展趋势[J]. 工矿自动化,2022,48(8):1-9,15.

    REN Huaiwei,ZHANG Shuai,ZHANG Desheng,et al. Research status and development trend of hydraulic support precision pushing and fast follow-up technology[J]. Journal of Mine Automation,2022,48(8):1-9,15.
    [6]
    张德生,祝琨,张赛,等. 综采工作面快速采煤技术现状及发展趋势[J]. 煤炭工程,2021,53(11):1-5.

    ZHANG Desheng, ZHU Kun, ZHANG Sai, et al. Present situation and prospect of rapid mining technology in fully-mechanized mining face[J]. Coal Engineering,2021,53(11):1-5.
    [7]
    雷照源,姚一龙,李磊,等. 大采高智能化工作面液压支架自动跟机控制技术研究[J]. 煤炭科学技术,2019,47(7):194-199. doi: 10.13199/j.cnki.cst.2019.07.025

    LEI Zhaoyuan,YAO Yilong,LI Lei,et al. Research on automatic follow-up control technology of hydraulic support in intelligent working face with large mining height[J]. Coal Science and Technology,2019,47(7):194-199. doi: 10.13199/j.cnki.cst.2019.07.025
    [8]
    刘清,韩秀琪,徐兰欣,等. 综采工作面采煤机和液压支架协同控制技术[J]. 工矿自动化,2020,46(5):43-48. doi: 10.13272/j.issn.1671-251x.17520

    LIU Qing,HAN Xiuqi,XU Lanxin,et al. Cooperative control technology of shear and hydraulic support on fully-mechanized coal mining face[J]. Industry and Mine Automation,2020,46(5):43-48. doi: 10.13272/j.issn.1671-251x.17520
    [9]
    于波. 巴彦高勒煤矿采煤工作面自动化控制关键技术研究[J]. 煤炭科学技术,2021,49(增刊1):63-68.

    YU Bo. Study on the key technology of automatic control of coal mining face in Bayan'gole Coal Mine[J]. Coal Science and Technology,2021,49(S1):63-68.
    [10]
    牛剑峰. 综采液压支架跟机自动化智能化控制系统研究[J]. 煤炭科学技术,2015,43(12):85-91. doi: 10.13199/j.cnki.cst.2015.12.018

    NIU Jianfeng. Study on automatic and intelligent following control system of hydraulic powered support in fully-mechanized coal mining face[J]. Coal Science and Technology,2015,43(12):85-91. doi: 10.13199/j.cnki.cst.2015.12.018
    [11]
    李昊,柴保明,翟大磊. 基于液压支架自主跟机逻辑的移架时长参数设定及动态优化[J]. 煤矿安全,2019,50(9):136-139. doi: 10.13347/j.cnki.mkaq.2019.09.035

    LI Hao,CHAI Baoming,ZHAI Dalei. Setting and dynamic optimization of supports shifting time parameters based on hydraulic support following machine logic autonomously[J]. Safety in Coal Mines,2019,50(9):136-139. doi: 10.13347/j.cnki.mkaq.2019.09.035
    [12]
    王虹,尤秀松,李首滨,等. 基于遗传算法与BP神经网络的支架跟机自动化研究[J]. 煤炭科学技术,2021,49(1):272-277. doi: 10.13199/j.cnki.cst.2021.01.024

    WANG Hong,YOU Xiusong,LI Shoubin,et al. Research on automation of support based on genetic algorithm and BP neural network[J]. Coal Science and Technology,2021,49(1):272-277. doi: 10.13199/j.cnki.cst.2021.01.024
    [13]
    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. doi: 10.13225/j.cnki.jccs.2022.1536

    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. doi: 10.13225/j.cnki.jccs.2022.1536
    [14]
    王峰. 液压支架精确推移控制方案研究与应用[J]. 工矿自动化,2017,43(5):6-9. doi: 10.13272/j.issn.1671-251x.2017.05.002

    WANG Feng. Research of precise pushing control scheme for hydraulic support and its application[J]. Industry and Mine Automation,2017,43(5):6-9. doi: 10.13272/j.issn.1671-251x.2017.05.002
    [15]
    牛剑峰. 受汽车无人驾驶启发的液压支架智能协同控制[J]. 工矿自动化,2020,46(5):54-56,75. doi: 10.13272/j.issn.1671-251x.17569

    NIU Jianfeng. Intelligent cooperative control of hydraulic support inspired by driveless car[J]. Industry and Mine Automation,2020,46(5):54-56,75. doi: 10.13272/j.issn.1671-251x.17569
    [16]
    REN Huaiwei,ZHANG Desheng,GONG Shixin,et al. Dynamic impact experiment and response characteristics analysis for 1∶2 reduced-scale model of hydraulic support[J]. International Journal of Mining Science and Technology,2021,31(3):347-356. doi: 10.1016/j.ijmst.2021.03.004
    [17]
    GE Xing,XIE Jiacheng,WANG Xuewen,et al. A virtual adjustment method and experimental study of the support attitude of hydraulic support groups in propulsion state[J]. Measurement,2020,158(1). DOI: 10.1016/j.measurement.2020.107743.
    [18]
    王巍,武守彦. 基于AMEsim的液压支架快速移架速度分析[J]. 煤矿机械,2012,33(6):113-115. doi: 10.3969/j.issn.1003-0794.2012.06.049

    WANG Wei,WU Shouyan. Analysis of velocity of rapidly moving hydraulic support based on AMEsim[J]. Coal Mine Machinery,2012,33(6):113-115. doi: 10.3969/j.issn.1003-0794.2012.06.049
    [19]
    LI Haining,DENG Dai'an. Research on influence factors of hydraulic support moving velocity in coal mining based on AMESim[J]. Advanced Materials Research,2014,1014:180-184. doi: 10.4028/www.scientific.net/AMR.1014.180
    [20]
    周如林,乔子石,孟令宇. 综采工作面液压支架立柱快速供回液方案研究[J]. 工矿自动化,2021,47(11):74-80. doi: 10.13272/j.issn.1671-251x.2021080006

    ZHOU Rulin,QIAO Zishi,MENG Lingyu. Study on the fast fluid supply and return scheme of hydraulic support column in fully mechanized working face[J]. Industry and Mine Automation,2021,47(11):74-80. doi: 10.13272/j.issn.1671-251x.2021080006
    [21]
    邓峣,蒋德富,周建江,等. 基于多项式拟合的宽带NLFM数字分数时延波形产生方法[J]. 现代雷达,2023,45(2):67-74. doi: 10.16592/j.cnki.1004-7859.2023.02.011

    DENG Yao,JIANG Defu,ZHOU Jianjiang,et al. Broadband NLFM digital fractional delay waveform generation method based on polynomial fitting[J]. Modern Radar,2023,45(2):67-74. doi: 10.16592/j.cnki.1004-7859.2023.02.011
    • 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(10)  / Tables(4)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (992) PDF downloads(35) 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