Volume 49 Issue 3
Mar.  2023
Turn off MathJax
Article Contents
Abstract
References
Related Articles
ZHANG Jianzhong, WANG Yunbo, YANG Junhui, et al. Intelligent technology and engineering practice of backfilling mining in Xingdong Mine[J]. Journal of Mine Automation，2023，49(3)：142-148. DOI: 10.13272/j.issn.1671-251x.2022080020
Citation: ZHANG Jianzhong, WANG Yunbo, YANG Junhui, et al. Intelligent technology and engineering practice of backfilling mining in Xingdong Mine[J]. Journal of Mine Automation，2023，49(3)：142-148. DOI: 10.13272/j.issn.1671-251x.2022080020
shu

Intelligent technology and engineering practice of backfilling mining in Xingdong Mine

  • 1.

    Xingdong Mine, Jizhong Energy Co., Ltd., Xingtai 054000, China

  • 2.

    School of Mines, China University of Mining and Technology, Xuzhou 221116, China

  • 3.

    Jizhong Energy Group Co., Ltd., Xingtai 054000, China

More Information
  • Received Date: August 04, 2022
  • Revised Date: March 14, 2023
  • Available Online: March 26, 2023
    Graphical Abstract
    • Abstract
  • Intelligent backfilling mining meets the industry development trend and need of green and intelligent mining in coal mines. But there is currently a lack of systematic research and practical engineering applications on key technologies of intelligent backfilling mining. In order to solve this problem, with the core of intelligent upgrading of solid backfilling mining faces, the primary goal of intelligent control of backfilling rate, and the goal of building intelligent backfilling mines, the key technologies of intelligent backfilling mining are systematically studied. The technologies include intelligent pretreatment and delivery control technology for coal-based solid waste, the underground intelligent jigging separation technology combined with real-time monitoring and control of ore deposits, intelligent control of waste discharge speed, and mixed separation control, the multi-source coal-based solid waste collection, storage and transportation technology based on real-time monitoring and precise feedback control of multi-source coal-based solid waste, and the intelligent solid backfilling and mining technology which integrates intelligent backfilling monitoring, intelligent flow control, backfilling hydraulic support, and electrohydraulic control of the working face. Through the linkage and coordination of various key intelligent backfilling mining technologies, Xingdong Mine has formed an intelligent backfilling mine with coal-based solid waste pretreatment, underground coal gangue separation, multi-source coal-based solid waste storage and transportation, and solid backfilling mining as the core. The results of engineering practice show that the capacity of intelligent backfilling working faces has been greatly improved after the application of intelligent backfilling mining technology. The working faces' output increases from 36000 t per month to 72000 t per month. The number of personnel per shift is reduced by 8-10. The time of one cycle operation is reduced by about 2.5 h, and the efficiency increases by about 50%. The problem of coal-based solid waste discharge has been comprehensively solved.
    • FullText(HTML)
    • References (21)
  • [1]
    齐冲冲,杨星雨,李桂臣,等. 新一代人工智能在矿山充填中的应用综述与展望[J]. 煤炭学报,2021,46(2):688-700. DOI: 10.13225/j.cnki.jccs.xr20.1704

    QI Chongchong,YANG Xingyu,LI Guichen,et al. Research status and perspectives of the application of artificial intelligence in mine backfilling[J]. Journal of China Coal Society,2021,46(2):688-700. DOI: 10.13225/j.cnki.jccs.xr20.1704
    [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]
    张吉雄,张强,巨峰,等. 深部煤炭资源采选充绿色化开采理论与技术[J]. 煤炭学报,2018,43(2):377-389. DOI: 10.13225/j.cnki.jccs.2017.4102

    ZHANG Jixiong,ZHANG Qiang,JU Feng,et al. Theory and technique of greening mining integrating mining,separating and backfilling in deep coal resources[J]. Journal of China Coal Society,2018,43(2):377-389. DOI: 10.13225/j.cnki.jccs.2017.4102
    [4]
    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. DOI: 10.13225/j.cnki.jccs.2018.0152

    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. DOI: 10.13225/j.cnki.jccs.2018.0152
    [5]
    阙建立. 智能矿山平台建设与实现[J]. 工矿自动化,2018,44(4):90-94.

    QUE Jianli. Construction and implementation of platform for intelligent mine[J]. Industry and Mine Automation,2018,44(4):90-94.
    [6]
    张强,刘勇,张吉雄,等. 固体智能充填自主夯实过程机构干涉影响因素与调控方法[J]. 煤炭学报,2022,47(3):1043-1054.

    ZHANG Qiang,LIU Yong,ZHANG Jixiong,et al. Influencing factors and control method of mechanism interference in autonomous compaction process of intelligent solid backfilling technology[J]. Journal of China Coal Society,2022,47(3):1043-1054.
    [7]
    王增加,齐兆军,寇云鹏,等. 智慧充填系统赋能矿山新发展[J]. 矿业研究与开发,2022,42(1):156-161.

    WANG Zengjia,QI Zhaojun,KOU Yunpeng,et al. Intelligent filling system enabling new development of mine[J]. Mining Research and Development,2022,42(1):156-161.
    [8]
    张吉雄,屠世浩,曹亦俊,等. 深部煤矿井下智能化分选及就地充填技术研究进展[J]. 采矿与安全工程学报,2020,37(1):1-10,22. DOI: 10.13545/j.cnki.jmse.2020.01.001

    ZHANG Jixiong,TU Shihao,CAO Yijun,et al. Research progress of technologies for intelligent separation and in-situ backfill in deep coal mines in China[J]. Journal of Mining & Safety Engineering,2020,37(1):1-10,22. DOI: 10.13545/j.cnki.jmse.2020.01.001
    [9]
    张吉雄,屠世浩,曹亦俊,等. 煤矿井下煤矸智能分选与充填技术及工程应用[J]. 中国矿业大学学报,2021,50(3):417-430.

    ZHANG Jixiong,TU Shihao,CAO Yijun,et al. Coal gangue intelligent separation and backfilling technology and its engineering application in underground coal mine[J]. Journal of China University of Mining & Technology,2021,50(3):417-430.
    [10]
    张昊,张强,左小,等. 生态环境保护性的采选充系统设计及应用[J]. 中国矿业大学学报,2021,50(3):548-557. DOI: 10.13247/j.cnki.jcumt.001287

    ZHANG Hao,ZHANG Qiang,ZUO Xiao,et al. Design and application of mining-separating-backfilling system for mining ecological and environmental protection[J]. Journal of China University of Mining & Technology,2021,50(3):548-557. DOI: 10.13247/j.cnki.jcumt.001287
    [11]
    任帅,王方田,李少涛,等. 深部煤层智能化充填开采覆岩运移控制技术[J]. 矿业研究与开发,2022,42(3):163-167.

    REN Shuai,WANG Fangtian,LI Shaotao,et al. Control technology of overburden migration in intelligent filling mining of deep coal seam[J]. Mining Research and Development,2022,42(3):163-167.
    [12]
    张强,王云搏,张吉雄,等. 煤矿固体智能充填开采方法研究[J]. 煤炭学报,2022,47(7):2546-2556.

    ZHANG Qiang,WANG Yunbo,ZHANG Jixiong,et al. Research on intelligent solid backfilling mining method in coal mine[J]. Journal of China Coal Society,2022,47(7):2546-2556.
    [13]
    左小. 煤矿固体智能充填方法及工程案例分析[D]. 徐州: 中国矿业大学, 2021.

    ZUO Xiao. Solid intelligent filling method and engineering case analysis in coal mine[D]. Xuzhou: China University of Mining and Technology, 2021.
    [14]
    李凤锦,吴桐,翟荣涛,等. 邢东矿充填自动化控制技术研究[J]. 煤炭科学技术,2021,49(增刊1):84-88.

    LI Fengjin,WU Tong,ZHAI Rongtao,et al. Research on filling automation control technology in Xingdong Mine[J]. Coal Science and Technology,2021,49(S1):84-88.
    [15]
    牛小森. 千米深井井下矸石分选及充填技术研究[J]. 煤炭与化工,2019,42(3):26-29. DOI: 10.19286/j.cnki.cci.2019.03.007

    NIU Xiaosen. Technology of underground coal-gangue separation and filling in over 1 000 m deep mine[J]. Coal and Chemical Industry,2019,42(3):26-29. DOI: 10.19286/j.cnki.cci.2019.03.007
    [16]
    张克,王英,娄德安,等. 邢东煤矿井下排矸工艺系统的优化与完善[J]. 选煤技术,2015(5):63-65.

    ZHANG Ke,WANG Ying,LOU De'an,et al. Improvement of underground refuse disposal technology in Xingdong Coal Mine[J]. Coal Preparation Technology,2015(5):63-65.
    [17]
    孙晋永,符东旭,孟彬,等. 井下跳汰排矸及矸石回填控制系统的设计[J]. 工矿自动化,2012,38(5):6-10.

    SUN Jinyong,FU Dongxu,MENG Bin,et al. Design of control system of underground jigging and gangue-backfilling[J]. Industry and Mine Automation,2012,38(5):6-10.
    [18]
    张健. 煤矿采选充一体化技术研究与应用[J]. 煤炭与化工,2021,44(4):31-33.

    ZHANG Jian. Research and application of integrated technology of mining,processing and filling[J]. Coal and Chemical Industry,2021,44(4):31-33.
    [19]
    杨科,魏祯,赵新元,等. 黄河流域煤电基地固废井下绿色充填开采理论与技术[J]. 煤炭学报,2021,46(增刊2):925-935.

    YANG Ke,WEI Zhen,ZHAO Xinyuan,et al. Theory and technology of green filling of solid waste in underground mine at coal power base of Yellow River Basin[J]. Journal of China Coal Society,2021,46(S2):925-935.
    [20]
    孙坚,耿春雷,张作泰,等. 工业固体废弃物资源综合利用技术现状[J]. 材料导报,2012,26(11):105-109. DOI: 10.3969/j.issn.1005-023X.2012.11.021

    SUN Jian,GENG Chunlei,ZHANG Zuotai,et al. Present situation of comprehensive utilization technology of industrial solid waste[J]. Materials Reports,2012,26(11):105-109. DOI: 10.3969/j.issn.1005-023X.2012.11.021
    [21]
    李会泉,胡应燕,李少鹏,等. 煤基固废循环利用技术与产品链构建[J]. 资源科学,2021,43(3):456-464. DOI: 10.18402/resci.2021.03.03

    LI Huiquan,HU Yingyan,LI Shaopeng,et al. Recycling and product chain of coal-based solid waste[J]. Resources Science,2021,43(3):456-464. DOI: 10.18402/resci.2021.03.03
    • Related Articles

  • Related Articles

    [1]WANG Li. Research on coal mine engineering management and environmental impact assessment under the concept of green mining[J]. Journal of Mine Automation, 2024, 50(S2): 242-245.
    [2]WANG Yu, SHI Yannan, WANG Yiying, QI Penglei, WANG Hanqiu. Full pose measurement and virtual simulation of solid filling hydraulic support[J]. Journal of Mine Automation, 2022, 48(7): 81-89. DOI: 10.13272/j.issn.1671-251x.2022030078
    [3]YAO Huawei, HE Xiaodong, WANG Zhe. Numerical study of pulverized coal ignition under different oxygen conditions based on solid-gas coupling[J]. Journal of Mine Automation, 2022, 48(3): 107-111, 117. DOI: 10.13272/j.issn.1671-251x.2021090068
    [4]YU Shengchao, ZHU Weibing, XU Jingmin, SHA Mengmeng, QI Xiangrui, YANG Weiming. Numerical simulation study on optimization of technical parameters of pier column backfilling mining in Wangzhuang Coal Mine[J]. Journal of Mine Automation, 2017, 43(9): 54-58. DOI: 10.13272/j.issn.1671-251x.2017.09.010
    [5]CHEN Tuoqi, DANG Xifeng. Experiment of backfill mining with aeolian sand high water swelling material in Yuyang Coal Mine[J]. Journal of Mine Automation, 2017, 43(6): 72-76. DOI: 10.13272/j.issn.1671-251x.2017.06.017
    [6]HU Hao, CHEN Silin, LIU Junpeng, LI Ying, LI Wenjie, YIN Liang. Application of electronic belt weigher in weighing of backfilled bulk gravel in vertical shaft[J]. Journal of Mine Automation, 2014, 40(1): 108-110. DOI: 10.13272/j.issn.1671-251x.2014.01.029
    [7]WANG Yan-wen, LI Hai-hong. A solid state current limiter applied to coal mine power system[J]. Journal of Mine Automation, 2013, 39(10): 73-77. DOI: 10.7526/j.issn.1671-251X.2013.10.019
    [8]SUN Jin-yong, FU Dong-xu, MENG Bin, CAO Jian-feng, LI Hai-tao, HUO Hong-tao. Design of Control System of Underground Jigging and Gangue-backfilling[J]. Journal of Mine Automation, 2012, 38(5): 6-10.
    [9]PU Guang-yue, AN Jian, WANG Jian, BA Hai-bo. Design of Pressure Segment Control System of Solid Materials Transportation Pipeline of Long-distance and High-lift[J]. Journal of Mine Automation, 2010, 36(2): 65-67.
    [10]ZHANG Jing~(, 2). Design of Control System of Solid-liquid Pump Based on PLC[J]. Journal of Mine Automation, 2009, 35(4): 99-102.

  • Cited by

    Periodical cited type(9)

    1. 刘建功，张党育，谢国强，卢新明，刘扬，杨军辉，赵家巍. 煤矿立体生态矿山建设技术研究. 中国煤炭. 2025(01): 2-11 .
    2. 张子航，刘扬，杨尚青，薄灿，张子峣，李明泽. 固体密实充填自适应滑模路径跟踪控制研究. 中国煤炭. 2025(01): 57-66 .
    3. 付祖冈，张定堂，李帅，闫善飞. 超长工作面大采高矸石充填技术研究与应用. 煤炭技术. 2024(04): 79-83 .
    4. 潘虹，陈江萍，王玉芳. 基于混合遗传算法的皮革产业固废运输路径优化研究. 中国皮革. 2024(04): 55-58 .
    5. 张强，张吉雄，杨康，巨峰，黄鹏，王云搏，吕浩南. 综合机械化放顶煤充填开采技术构想及理论框架研究. 中国矿业大学学报. 2024(03): 469-482 .
    6. 朱磊，刘成勇，宋天奇，古文哲，成超，赵萌烨，吴玉意，黄剑斌，袁超峰. 煤矿井下浆体充填智能化系统研究与应用. 煤矿安全. 2024(08): 242-248 .
    7. 董宪姝. 选煤固废资源化利用研究进展. 煤炭工程. 2024(10): 108-121 .
    8. 胡忍. 浅析煤矿充填开采工艺设计研究. 内蒙古煤炭经济. 2023(19): 37-39 .
    9. 刘具，秦坤. 我国煤炭绿色开采技术进展. 矿业安全与环保. 2023(06): 7-15 .

    Other cited types(1)

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (876) PDF downloads (49) Cited by(10)
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1171567    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return