Advance Search
Volume 48 Issue 2
Feb.  2020
Turn off MathJax
Article Contents
Abstract
Related Articles
WANG Xuewen, GE Xing, XIE Jiacheng, LI Juanli, LI Suhua, JIANG Shuo. Virtual simulation method of hydraulic support movement based on real coal seam environment[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(2).
Citation: WANG Xuewen, GE Xing, XIE Jiacheng, LI Juanli, LI Suhua, JIANG Shuo. Virtual simulation method of hydraulic support movement based on real coal seam environment[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(2).
shu

Virtual simulation method of hydraulic support movement based on real coal seam environment

  • 1.College of Mechanical and Vehicle Engineering， Taiyuan University of Technology， Taiyuan ， China；2.Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment， Taiyuan ， China

More Information
  • Available Online: April 02, 2023
  • Published Date: February 24, 2020
    Graphical Abstract
    • Abstract
  • In order to solve problem that hydraulic support can not adjust support posture in time according to underground coal seam environment in the existing coal mining， a virtual simulation method of hydraulic support movement based on real coal seam environment is proposed.This method directly generates top and bottom coal seam environmental surfaces based on real coal seam data points in virtual software Unity 3D.Then， combined with hydraulic support model and addition of its physical components， it realizes self-adapting fitting of hydraulic support to floor surface based on gravity fit.The angle information values of each component of hydraulic support under condition of roof support can be determined through analysis of kinematics of hydraulic support model and data points of coal seam roof surface.In this way，movement posture of hydraulic support to coal seam environment can be realized in advance in a virtual space.Finally， experiment is carried out， in which a model of coal seam top and bottom surfaces is constructed， and support posture hydraulic support in experimental coal seam is adjusted.At the same time， the corresponding surfaces of coal seam roof and floor are generated in a virtual environment and the attitude adjustment of hydraulic support in virtual environment is carried out.The test results show that movement parameters of hydraulic support based on coal seam environment by using virtual software Unity 3D are basically the same as those of actual hydraulic support.This method provides a reference and application practice for realizing the adaptive adjustment of hydraulic support to surrounding rock environment.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]WANG Jiachen, XU Jialin, YANG Shengli, WANG Zhaohui. Development of strata movement and its control in underground mining: In memory of 40 years of Voussoir Beam Theory proposed by Academician Minggao Qian[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(1): 80-94. DOI: 10.13199/j.cnki.cst.2022-2071
    [2]HE Tao, WANG Chuanli, GAO Bo, CHEN Fan, ZHAO Kaiping, WANG Weijun. Modeling andanalysis of attitude regulation system of underwater inspection robot for coal mine pumped-storage power station[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(3): 239-247.
    [3]WANG Xuewen, CUI Tao, XIE Jiacheng, SHEN Hongda, LIU Yimeng, WANG Binbin. Virtual simulation method of hydraulic support motion considering pin shaft clearance[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(2): 186-193. DOI: 10.13199/j.cnki.cst.2021.02.022
    [4]WANG Haijun, LIU Yingjie. Study on overlying stratas movement and stress dynamic evolution aboveworking face in shallow buried 8.8 m extra-thick coal seam[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(11): 68-76.
    [5]XIE Jiacheng, WANG Xuewen, YANG Zhaojian, LI Juanli, LIU Yang, GE Xing. Technical conception and practice of joint virtual simulation for coal seamand equipment in fully-mechanized coal mining face[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (5).
    [6]Li Huamin Zhang Qunlei Liu Chuang Shen Lulu Li Huigui, . Analysis on overburden strata movement and mine strata pressure behavior of high cutting mining in ultra thick seam[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (1).
    [7]wu Shiliang Liu sili, . Study on roof movement law and powered support-surrounding rock relationship of fully-mechanized top coal caving mining face[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (2).
    [8]YuLei Yan Shaohong, . Study on roof movement form and mine strata pressure law of fully-mechanized top coal caving mining in ultra thick seam[J]. COAL SCIENCE AND TECHNOLOGY, 2015, (8).
    [9]Ren Yanfang. Study on mine pressure and overlying strata movement law of contiguous seams with shallow depth[J]. COAL SCIENCE AND TECHNOLOGY, 2015, (7).
    [10]WANG Shi-dong. Study on Roof Movement Law of Shortwall Continuous Coal Mining Face[J]. COAL SCIENCE AND TECHNOLOGY, 2014, (3).

  • Cited by

    Periodical cited type(33)

    1. 陈生凯，明平田，申宁. 青海某金矿安全监管视频AI智能系统建设. 黄金. 2025(01): 20-23+36+6 .
    2. 张荣浩，胡刚，马立豪，牛飞. 基于智能技术的煤矿设备撤退方案设计. 内蒙古煤炭经济. 2025(05): 67-69 .
    3. 弯茂全，李昊，王浩. 基于工业互联网平台的煤矿跨系统统一数据服务研究与应用. 工矿自动化. 2025(03): 96-104 .
    4. 赵文，王超，何利辉，李瑞锋. 智能矿山一体化管控平台研究. 矿山机械. 2025(04): 61-66 .
    5. 柳小波，丛峰武，张宝金，马新博，陈晓云，张兴帆，王连成. 我国金属矿山智慧化转型实践与展望. 金属矿山. 2025(05): 1-16 .
    6. 卢丽君. 数字化转型背景下煤炭行业内部审计转型路径研究. 商业经济. 2024(03): 161-164 .
    7. 尹建辉. 基于工业互联网架构的煤矿瓦斯智能抽采管控系统设计. 工矿自动化. 2024(02): 28-34 .
    8. 王国法，庞义辉，任怀伟，战凯，杜明，张勇，程健，杜毅博，张建中，巩师鑫，王丹丹，孟令宇，孟积渐. 智慧矿山系统工程及关键技术研究与实践. 煤炭学报. 2024(01): 181-202 .
    9. 莫灿，和帅. 矿山智能化掘进系统的开发与应用. 世界有色金属. 2024(02): 46-48 .
    10. 黄若洪，吴岩，程云涛，姚红春. 基于微服务架构的智慧矿山基础平台建设. 测绘通报. 2024(S1): 221-225 .
    11. 郭奋超，凌鹏涛，强辉. 红柳林煤矿智能化生产经营管理体系建设研究. 煤炭经济研究. 2024(04): 59-64 .
    12. 汪发宝. 5G智慧矿山的关键技术和创新应用. 科技资讯. 2024(13): 45-49 .
    13. 申斌学. 基于矿山工业互联网的选煤厂智能管控体系设计与关键技术. 煤炭科学技术. 2024(09): 210-219 . 本站查看
    14. 张智星，付翔，张小强，李浩杰，秦一凡，刘萌，孙岩，贾一帆，杨宇琪. 煤矿工业数据AI模型自动推理技术. 工矿自动化. 2024(09): 138-143 .
    15. 张强，杨康，曹津铭，白雨，邓攀博，杨子. 视频AI算法分析的煤矿固体智能充填开采方法. 煤炭科学技术. 2024(11): 163-173 . 本站查看
    16. 钱明明，高山，陈琛，王冬梅，桑云. 面向矿山安全检验机构的智慧云综合应用平台开发研究. 电脑编程技巧与维护. 2024(12): 148-150 .
    17. 王海军，覃杰. 煤炭企业数字化转型基本框架与实施路径研究. 中国煤炭. 2024(12): 115-123 .
    18. 高平. 智能巷道素描图同步绘制系统设计与应用. 煤炭工程. 2024(S1): 1-6 .
    19. 杨军，张超，杨恢凡，郭一楠. 煤炭工业互联网技术研究综述. 工矿自动化. 2023(04): 23-32 .
    20. 弯茂全，李昊. 基于微服务架构的煤炭工业互联网平台研究与设计. 中国煤炭. 2023(07): 109-115 .
    21. 王耀. 基于5G工业互联网的井工煤矿信息化技术研究. 工矿自动化. 2023(S1): 29-31 .
    22. 肖粲俊，刘红梅，石发强，邓从阳，赖建. 基于数字孪生的煤矿智能管控平台架构研究与实现. 矿业安全与环保. 2023(05): 43-49 .
    23. 高俊莲，张佳琪，张博. 构建全国统一煤炭大市场的思考与对策. 煤炭经济研究. 2023(07): 4-10 .
    24. 张俊杰，徐宗宇，朱永鑫，尚东冉. 微服务技术在车辆智能运维系统中的实践与应用. 智慧轨道交通. 2023(06): 89-92 .
    25. 邓文革，赵星宇，张仁生. 煤矿云计算数据中心建设研究. 工矿自动化. 2023(S2): 103-106 .
    26. 赵子瑜，毕林. 矿边智能：智能矿山边缘侧建设新趋势. 黄金科学技术. 2023(06): 964-977 .
    27. 鲁杰，李平，徐青云，宁掌玄，张望杰，郑嘉璐. “双碳”背景下山西省智慧矿山建设路径研究. 煤炭工程. 2022(03): 186-192 .
    28. 王忠鑫，辛凤阳，宋波，曾祥玉，刘英璐，王金金，田凤亮，赵明，李杰，李申岩. 论露天煤矿智能化建设总体设计. 煤炭科学技术. 2022(02): 37-46 . 本站查看
    29. 刘见中. 强化科技创新推动煤炭行业高质量发展研究. 中国煤炭. 2022(04): 1-7 .
    30. 任艳艳，张磊. 基于工业互联网的煤矿生产管控平台研究. 内蒙古煤炭经济. 2022(12): 33-36 .
    31. 金智新，王宏伟，付翔. HCPS理论体系下新一代智能煤矿发展路径. 工矿自动化. 2022(10): 1-12 .
    32. 张海宙. 以工业互联网推进煤炭产业数字化转型的研究与实践. 内蒙古煤炭经济. 2022(24): 115-117 .
    33. 李建博，张煦. 某选矿厂碎矿系统5G+信息化建设实践. 现代矿业. 2021(10): 150-152+155 .

    Other cited types(5)

Catalog

    Get Citation
    PDF
    XML
    Article views (476) PDF downloads (478) Cited by(38)
    Related

    Copyright © 《COAL SCIENCE AND TECHNOLOGY》Editorial Department 京ICP备05086979号

    Address: Room 811, Coal Building, Zone 13, Heping Street, Chaoyang District, Beijing

    Tel: 010-87986431（Advertising Consulting）Postal Code: 100013

    E-mail: mtkxjs@vip.163.com

    RSS Email Alert

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

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return