Volume 49 Issue 2
Feb.  2023
Turn off MathJax
Article Contents
Article Navigation >  Journal of Mine Automation  > 2023  >  49(2): 141-148
WU Xicang, ZHANG Xueliang, RUAN Jinlin, et al. Research on key technology of intelligent fully mechanized caving face construction in Baode Coal Mine[J]. Journal of Mine Automation，2023，49(2)：141-148.  doi: 10.13272/j.issn.1671-251x.2022060103
Citation: WU Xicang, ZHANG Xueliang, RUAN Jinlin, et al. Research on key technology of intelligent fully mechanized caving face construction in Baode Coal Mine[J]. Journal of Mine Automation，2023，49(2)：141-148.  doi: 10.13272/j.issn.1671-251x.2022060103
shu

Research on key technology of intelligent fully mechanized caving face construction in Baode Coal Mine

doi: 10.13272/j.issn.1671-251x.2022060103
  • 1.

    Baode Coal Mine，CHN Energy Shendong Coal Group Co.,Ltd., Xinzhou 036600, China

  • 2.

    CCTEG Coal Industry Planning Institute, Beijing 100120, China

  • 3.

    CCTEG Beijing Tianma Intelligent Control Technology Co., Ltd., Beijing 101399, China

  • Received Date: 2022-06-28
  • Rev Recd Date: 2023-01-15
    • Available Online: 2022-10-12
    Abstract
  • The current research achievements in the construction of intelligent fully mechanized caving face lack systematic implementation case for a specific fully mechanized caving face. In order to solve this problem, The 81309 intelligent fully mechanized caving face of Baode Coal Mine, CHN Energy Shendong Coal Group Co.,Ltd. is taken as the research background. Based on the configuration of hydraulic support electro-hydraulic control system and fully mechanized mining automation system, the key technologies such as equipment upgrading and transformation, limited transparent mining model building, intelligent coal drawing process decision-making, optimization of coal gangue recognition method, and multi-mode fusion integrated control are introduced in detail. ① The localization upgrading and transformation of the electric control system of the shearer is carried out. The inertial navigation system is installed. The optical fiber composite cable/5G communication is supported to realize efficient and stable transmission of attitude and control data of shearer. The equipment train can be pulled and moved by 1 - 2 persons by adopting step-type self-shift equipment train and pipe and cable expansion device. ② The iterative correction on the geological model in the data source of the intelligent planning center is carried out. The limited transparent mining geological model is formed through a series of conversions and multi-source heterogeneous data fusion. ③ In view of the sequential coal caving mode of "one cut, one caving and two rounds" in the 81309 working face, 10 intelligent fully mechanized caving mining stages and the corresponding actions and time of shearer, fully mechanized caving hydraulic support, front and rear scraper conveyor are constructed. The automatic mining and drawing in the middle and automatic mining in the triangle coal area are realized. ④ The intelligent coal gangue recognition system of fully mechanized caving is built by combining the vibration coal gangue recognition and video coal gangue recognition technology. ⑤ With the SAM-type fully mechanized mining automation control system as the hub, an intelligent centralized control system is constructed by integrating the electro-hydraulic control of hydraulic support, video monitoring, electric control of shearer and centralized control of pump stations of three machines. The intelligent fully mechanized caving face with adaptation in all links of "mining, support, recognition, caving and transportation" based on transparent mining has been initially built. The debugging results show that the middle part of 81309 fully mechanized caving face can realize the automatic control of 4 coal cutters in a single shift. The hydraulic support can realize the functions of the automatic following machine and pulling frame, linkage receiving and extension guard / expansion beam, and automatic pushing and sliding. The intelligent centralized control system can start and stop the production system with one key, and monitor the equipment operation data in real-time.

     

    • FullText(HTML)
  • loading
    • References(21)
  • [1]
    王国法,庞义辉. 特厚煤层大采高综采综放适应性评价和技术原理[J]. 煤炭学报,2018,43(1):33-42.

    WANG Guofa,PANG Yihui. Full-mechanized coal mining and caving mining method evaluation and key technology for thick coal seam[J]. Journal of China Coal Society,2018,43(1):33-42.
    [2]
    王国法,庞义辉,马英. 特厚煤层大采高综放自动化开采技术与装备[J]. 煤炭工程,2018,50(1):1-6.

    WANG Guofa,PANG Yihui,MA Ying. Automated mining technology and equipment for fully-mechanized caving mining with large mining height in extra-thick coal seam[J]. Coal Engineering,2018,50(1):1-6.
    [3]
    王国法. 煤矿智能化最新技术进展与问题探讨[J]. 煤炭科学技术,2022,50(1):1-27.

    WANG Guofa. New technological progress of coal mine intelligent and its problems[J]. Coal Science and Technology,2022,50(1):1-27.
    [4]
    王勇. 加快推进煤矿智能化建设 提高煤矿本质安全水平[J]. 中国煤炭工业,2020(11):4. doi: 10.3969/j.issn.1673-9612.2020.11.001

    WANG Yong. Accelerate the construction of intelligent coal mine to improve the essential safety level of coal mine[J]. China Coal Industry,2020(11):4. doi: 10.3969/j.issn.1673-9612.2020.11.001
    [5]
    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.
    [6]
    王家臣. 我国放顶煤开采的工程实践与理论进展[J]. 煤炭学报,2018,43(1):43-51.

    WANG Jiachen. Engineering practice and theoretical progress of top-coal caving mining technology in China[J]. Journal of China Coal Society,2018,43(1):43-51.
    [7]
    黄曾华. 综采装备单机智能化向智能协同模式转型的探索研究[J]. 煤炭科学技术,2021,49(4):169-175.

    HUANG Zenghua. Exploration and research on transformation from intelligent single machine equipment to intelligent synergy in coal mine[J]. Coal Science and Technology,2021,49(4):169-175.
    [8]
    葛世荣. 煤矿智采工作面概念及系统架构研究[J]. 工矿自动化,2020,46(4):1-9.

    GE Shirong. Research on concept and system architecture of smart mining workface in coal mine[J]. Industry and Mine Automation,2020,46(4):1-9.
    [9]
    王国法,徐亚军,孟祥军,等. 智能化采煤工作面分类、分级评价指标体系[J]. 煤炭学报,2020,45(9):3033-3044.

    WANG Guofa,XU Yajun,MENG Xiangjun,et al. Specification,classification and grading evaluation index for smart longwall mining face[J]. Journal of China Coal Society,2020,45(9):3033-3044.
    [10]
    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.
    [11]
    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.
    [12]
    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.
    [13]
    张学亮,刘清,郎瑞峰,等. 厚煤层智能放煤工艺及精准控制关键技术研究[J]. 煤炭工程,2020,52(9):1-6.

    ZHANG Xueliang,LIU Qing,LANG Ruifeng,et al. Intelligent coal drawing process and the key technologies of precise control for thick coal seam top-coal caving[J]. Coal Engineering,2020,52(9):1-6.
    [14]
    秦文光. 王家岭矿综放工作面智能化协同控制方案设计与实现[J]. 煤炭科学技术,2020,49(增刊1):53-58.

    QIN Wenguang. Design and complete of intelligent collaborative control scheme for fully-mechanized top coal caving face in Wangjialing Mine[J]. Coal Science and Technology,2020,49(S1):53-58.
    [15]
    韩秀琪,杨秀宇,孙峰,等. 智能综放工作面自动运行与人工干预分析系统[J]. 工矿自动化,2020,46(12):31-37.

    HAN Xiuqi,YANG Xiuyu,SUN Feng,et al. Automatic operation and manual intervention analysis system for intelligent fully mechanized caving face[J]. Industry and Mine Automation,2020,46(12):31-37.
    [16]
    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 withdraw coal and intelligent control of draw opening in longwall top coal caving face[J]. Journal of China Coal Society,2022,47(1):87-101.
    [17]
    袁源,汪嘉文,朱德昇,等. 顶煤放落过程煤矸声信号特征提取与分类方法[J]. 矿业科学学报,2021,6(6):711-720.

    YUAN Yuan,WANG Jiawen,ZHU Desheng,et al. Feature extraction and classification method of coal gangue acoustic signal during top coal caving[J]. Journal of Mining Science and Technology,2021,6(6):711-720.
    [18]
    曹贯强,尉瑞,孟祥涛,等. 用于煤矸识别的振动传感器设计[J]. 工矿自动化,2021,47(1):118-122.

    CAO Guanqiang,YU Rui,MENG Xiangtao,et al. Design of vibration sensor for coal gangue identification[J]. Industry and Mine Automation,2021,47(1):118-122.
    [19]
    张守祥,张艳丽,王永强,等. 综采工作面煤矸频谱特征[J]. 煤炭学报,2007,32(9):971-974.

    ZHANG Shouxiang,ZHANG Yanli,WANG Yongqiang,et al. Caved coal and rock spectrum on long wall face[J]. Journal of China Coal Society,2007,32(9):971-974.
    [20]
    吴婕萍,李国辉. 煤岩界面自动识别技术发展现状及其趋势[J]. 工矿自动化,2015,41(12):44-49.

    WU Jieping,LI Guohui. Development status and tendency of automatic identification technologies of coal-rock interface[J]. Industry and Mine Automation,2015,41(12):44-49.
    [21]
    魏文艳. 综采工作面放顶煤自动控制系统[J]. 工矿自动化,2015,41(7):10-13.

    WEI Wenyan. Automatic control system for top coal caving on fully mechanized mining face[J]. Industry and Mine Automation,2015,41(7):10-13.
    • 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(8)  / Tables(1)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (257) PDF downloads(39) 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