Volume 50 Issue 7
Jul.  2024
Turn off MathJax
Article Contents
QIU Jinbo, LIU Cong, WU Haokun, et al. Current status and key technology prospects of shearer intelligent development[J]. Journal of Mine Automation,2024,50(7):64-78.  doi: 10.13272/j.issn.1671-251x.2024050039
Citation: QIU Jinbo, LIU Cong, WU Haokun, et al. Current status and key technology prospects of shearer intelligent development[J]. Journal of Mine Automation,2024,50(7):64-78.  doi: 10.13272/j.issn.1671-251x.2024050039

Current status and key technology prospects of shearer intelligent development

doi: 10.13272/j.issn.1671-251x.2024050039
  • Received Date: 2024-05-14
  • Rev Recd Date: 2024-07-20
  • Available Online: 2024-08-02
  • This paper introduces the current situation of intelligent development of shearer at home and abroad. The shearer is currently developing towards intelligent robotics and is in the primary stage of intelligence. This paper elaborates on the development process and trends of intelligent shearer. There are six scientific research projects that have played important roles in the intelligent development of shearer, including the UK remotely operated longwall face (ROLF) program, mine operating system (MINOS), NASA long wall automation cooperation project, Australian Australian coal industry’s research program (ACARP), Australian commonwealth scientific and industrial research organization (CSIRO) project, and EU new mechanisation and automation of longwall and drivage equipment (NEMAEQ). The development trend of shearer is to use continuously developing monitoring, sensing, and remote control technologies to replace manual intervention and operation, continuously improve the production efficiency and reliability of working face equipment, and develop towards informationization, integration, unmanned, and intelligent direction. This paper introduces the key technologies of intelligent perception, intelligent control, and intelligent communication of shearer. It points out that intelligent cutting technology based on coal rock recognition, intelligent drum speed regulation technology, precise positioning technology of shearer, and planning and mining technology based on three-dimensional geological models are key technologies that urgently need to be broken through. The human-machine relationship that cannot be ignored in the intelligent development process of shearer is discussed from two aspects: dust reduction and noise reduction.

     

  • loading
  • [1]
    张科学,徐兰欣,李旭,等. 透明工作面智能化开采大数据分析决策方法及系统研究[J]. 煤炭科学技术,2022,50(2):252-262.

    ZHANG Kexue,XU Lanxin,LI Xu,et al. Research on big data analysis and decision system of intelligent mining in transparent working face[J]. Coal Science and Technology,2022,50(2):252-262.
    [2]
    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.

    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.
    [3]
    王国法,刘峰,孟祥军,等. 煤矿智能化(初级阶段)研究与实践[J]. 煤炭科学技术,2019,47(8):1-36.

    WANG Guofa,LIU Feng,MENG Xiangjun,et al. Research and practice on intelligent coal mine construction (primary stage)[J]. Coal Science and Technology,2019,47(8):1-36.
    [4]
    王国法,庞义辉,任怀伟. 智慧矿山技术体系研究与发展路径[J]. 金属矿山,2022(5):1-9.

    WANG Guofa,PANG Yihui,REN Huaiwei. Research and development path of smart mine technology system[J]. Metal Mine,2022(5):1-9.
    [5]
    王国法,庞义辉,刘峰,等. 智能化煤矿分类、分级评价指标体系[J]. 煤炭科学技术,2020,48(3):1-13.

    WANG Guofa,PANG Yihui,LIU Feng,et al. Specification and classification grading evaluation index system for intelligent coal mine[J]. Coal Science and Technology,2020,48(3):1-13.
    [6]
    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.
    [7]
    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,2020,25(1):1-15.

    WANG Guofa,PANG Yihui,REN Huaiwei. Intelligent coal mining pattern and technological path[J]. Journal of Mining and Strata Control Engineering,2020,25(1):1-15.
    [8]
    葛世荣. 采煤机技术发展历程(五)——自动化技术[J]. 中国煤炭,2020,46(10):1-15. doi: 10.3969/j.issn.1006-530X.2020.10.001

    GE Shirong. The development history of coal shearer technology (part five)—automation technology[J]. China Coal,2020,46(10):1-15. doi: 10.3969/j.issn.1006-530X.2020.10.001
    [9]
    葛世荣. 采煤机技术发展历程(十) ——制造商变迁[J]. 中国煤炭,2021,47(3):25-43. doi: 10.3969/j.issn.1006-530X.2021.03.005

    GE Shirong. The development history of coal shearer technology (part ten)—manufacturers[J]. China Coal,2021,47(3):25-43. doi: 10.3969/j.issn.1006-530X.2021.03.005
    [10]
    赵亦辉,赵友军,周展. 综采工作面采煤机智能化技术研究现状[J]. 工矿自动化,2022,48(2):11-18,28.

    ZHAO Yihui,ZHAO Youjun,ZHOU Zhan. Research status of intelligent technology of shearer in fully mechanized working face[J]. Industry and Mine Automation,2022,48(2):11-18,28.
    [11]
    RALSTON J C,HARGRAVE C O,DUNN M T. Longwall automation:trends,challenges and opportunities[J]. International Journal of Mining Science and Technology,2017,27(5):733-739. doi: 10.1016/j.ijmst.2017.07.027
    [12]
    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.
    [13]
    王国法,杜毅博,徐亚军,等. 中国煤炭开采技术及装备50年发展与创新实践——纪念《煤炭科学技术》创刊50周年[J]. 煤炭科学技术,2023,51(1):1-18.

    WANG Guofa,DU Yibo,XU Yajun,et al. Development and innovation practice of China coal mining technology and equipment for 50 years:commemorate the 50th anniversary of the publication of Coal Science and Technology[J]. Coal Science and Technology,2023,51(1):1-18.
    [14]
    刘振坚,邱锦波,庄德玉. 天地科技上海分公司采煤机智能化技术现状与展望[J]. 中国煤炭,2019,45(7):33-39,87.

    LIU Zhenjian,QIU Jinbo,ZHUANG Deyu. Present situation and prospect of intelligent shearer technology of Shanghai Branch Company of Tiandi Co., Ltd. [J]. China Coal,2019,45(7):33-39,87.
    [15]
    莫非. 能源行业转型发展回眸——煤炭篇:以高质量发展 筑牢能源基石[EB/OL]. [2024-01-02]. https://cpnn.com.cn/news/zngc/202401/t20240102_1665702.html.

    MO Fei. Energy industry transformation and development review-coal:build the cornerstone of energy with high quality development[EB/OL]. [2024-01-02]. https://cpnn.com.cn/news/zngc/202401/t20240102_1665702.html.
    [16]
    PENG S S,DU Feng,CHENG Jingyi,et al. Automation in U. S. longwall coal mining:a state-of-the-art review[J]. International Journal of Mining Science and Technology,2019,29(2):151-159. doi: 10.1016/j.ijmst.2019.01.005
    [17]
    符如康,张长友,张豪. 煤矿综采综掘设备智能感知与控制技术研究及展望[J]. 煤炭科学技术,2017,45(9):72-78.

    FU Rukang,ZHANG Changyou,ZHANG Hao. Discovery and outlook on intelligent sensing and control technology of mine fully-mechanized mining and driving equipment[J]. Coal Science and Technology,2017,45(9):72-78.
    [18]
    REID D,RALSTON J,DUNN M,et al. Longwall shearer automation:from research to reality[M]//BILLINGSLEY J,BRETT P. Machine Vision and Mechatronics in Practice. Berlin:Springer,2015:49-57.
    [19]
    张建广. 悬臂式掘进机智能截割控制技术发展现状及关键技术探讨[J]. 煤炭工程,2015,47(2):89-91. doi: 10.11799/ce201502029

    ZHANG Jianguang. Discussion on development status and key technology of boom-type roadheader intelligent cutting control[J]. Coal Engineering,2015,47(2):89-91. doi: 10.11799/ce201502029
    [20]
    王学成. 我国煤矿巷道快速掘进技术与装备发展现状[J]. 煤矿机械,2017,38(6):1-3.

    WANG Xuecheng. Current situation of rapid excavation technology and equipment in coal mine roadway in China[J]. Coal Mine Machinery,2017,38(6):1-3.
    [21]
    葛世荣. 采煤机技术发展历程(七)——截割机构[J]. 中国煤炭,2020,46(12):15-29.

    GE Shirong. The development history of coal shearer technology (part seven)—cutting devices[J]. China Coal,2020,46(12):15-29.
    [22]
    李帅帅,任怀伟. 综采工作面 “三机” 设备位姿测量技术研究现状与展望[J]. 煤炭科学技术,2020,48(9):218-226.

    LI Shuaishuai,REN Huaiwei. Research status and development trend of position and posture measurement technology on hydraulic support,scraper conveyor,shearer in fully-mechanized mining face[J]. Coal Science and Technology,2020,48(9):218-226.
    [23]
    葛世荣,郝尚清,张世洪,等. 我国智能化采煤技术现状及待突破关键技术[J]. 煤炭科学技术,2020,48(7):28-46.

    GE Shirong,HAO Shangqing,ZHANG Shihong,et al. Status of intelligent coal mining technology and potential key technologies in China[J]. Coal Science and Technology,2020,48(7):28-46.
    [24]
    张阳. 采煤机智能化技术成果与展望[J]. 智能矿山,2022,3(7):70-79.

    ZHANG Yang. Achievements and prospect of intelligent technology of shearer[J]. Journal of Intelligent Mine,2022,3(7):70-79.
    [25]
    葛世荣. 采煤机技术发展历程(九)——环境感知技术[J]. 中国煤炭,2021,47(2):1-17.

    GE Shirong. The development of coal shearer technology (part nine)—environment sensing technology[J]. China Coal,2021,47(2):1-17.
    [26]
    方新秋,梁敏富,李爽,等. 智能工作面多参量精准感知与安全决策关键技术[J]. 煤炭学报,2020,45(1):493-508.

    FANG Xinqiu,LIANG Minfu,LI Shuang,et al. Key technologies of multi-parameter accurate perception and security decision in intelligent working face[J]. Journal of China Coal Society,2020,45(1):493-508.
    [27]
    邵艳清. 人脸识别技术发展综述[J]. 科教导刊(电子版),2020(3):278,286.

    SHAO Yanqing. Review on the development of face recognition technology[J]. The Guide of Science & Education (Electronic Edition),2020(3):278,286.
    [28]
    葛世荣. 采煤机技术发展历程(六)——煤岩界面探测[J]. 中国煤炭,2020,46(11):10-24.

    GE Shirong. The development history of coal shearer technology (part six)—coal-rock interface detection[J]. China Coal,2020,46(11):10-24.
    [29]
    王路明,常振兴. 机器人技术在煤矿中的应用及发展趋势[J]. 煤炭技术,2021,40(4):151-153.

    WANG Luming,CHANG Zhenxing. Application and development trend of robot technology in coal mine[J]. Coal Technology,2021,40(4):151-153.
    [30]
    葛世荣,郝雪弟,田凯,等. 采煤机自主导航截割原理及关键技术[J]. 煤炭学报,2021,46(3):774-788.

    GE Shirong,HAO Xuedi,TIAN Kai,et al. Principle and key technology of autonomous navigation cutting for deep coal seam[J]. Journal of China Coal Society,2021,46(3):774-788.
    [31]
    邱锦波. 滚筒采煤机自动化与智能化控制技术发展及应用[J]. 煤炭科学技术,2013,41(11):10-13.

    QIU Jinbo. Development and application of shearer automation and intelligent control technology[J]. Coal Science and Technology,2013,41(11):10-13.
    [32]
    葛世荣,王忠宾,王世博. 互联网+采煤机智能化关键技术研究[J]. 煤炭科学技术,2016,44(7):1-9.

    GE Shirong,WANG Zhongbin,WANG Shibo. Study on key technology of Internet plus intelligent coal shearer[J]. Coal Science and Technology,2016,44(7):1-9.
    [33]
    马宏伟,赵英杰,薛旭升,等. 智能采煤机器人关键技术[J]. 煤炭学报,2024,49(2):1174-1182.

    MA Hongwei,ZHAO Yingjie,XUE Xusheng,et al. Key technologies of intelligent mining robot[J]. Journal of China Coal Society,2024,49(2):1174-1182.
    [34]
    葛世荣. 智能化采煤装备的关键技术[J]. 煤炭科学技术,2014,42(9):7-11.

    GE Shirong. Key technology of intelligent coal mining equipment[J]. Coal Science and Technology,2014,42(9):7-11.
    [35]
    王国法,徐亚军,张金虎,等. 煤矿智能化开采新进展[J]. 煤炭科学技术,2021,49(1):1-10.

    WANG Guofa,XU Yajun,ZHANG Jinhu,et al. New development of intelligent mining in coal mines[J]. Coal Science and Technology,2021,49(1):1-10.
    [36]
    唐恩贤,张玉良,马骋. 煤矿智能化开采技术研究现状及展望[J]. 煤炭科学技术,2019,47(10):111-115.

    TANG Enxian,ZHANG Yuliang,MA Cheng. Research status and development prospect of intelligent mining technology in coal mine[J]. Coal Science and Technology,2019,47(10):111-115.
    [37]
    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.
    [38]
    王学文,谢嘉成,郝尚清,等. 智能化综采工作面实时虚拟监测方法与关键技术[J]. 煤炭学报,2020,45(6):1984-1996.

    WANG Xuewen,XIE Jiacheng,HAO Shangqing,et al. Key technologies of real-time virtual monitoring method for an intelligent fully mechanized coal-mining face[J]. Journal of China Coal Society,2020,45(6):1984-1996.
    [39]
    王明星. 智能化采煤机多种远程通信方式的研究[J]. 煤矿机械,2024,45(2):183-185.

    WANG Mingxing. Research on multiple remote communication methods of intelligent shearer[J]. Coal Mine Machinery,2024,45(2):183-185.
    [40]
    葛世荣. 煤矿机器人现状及发展方向[J]. 中国煤炭,2019,45(7):18-27.

    GE Shirong. Present situation and development direction of coal mine robots[J]. China Coal,2019,45(7):18-27.
    [41]
    ZHANG Kexue,KANG Lei,CHEN Xuexi,et al. A review of intelligent unmanned mining current situation and development trend[J]. Energies,2022,15(2). DOI: 10.3390/en15020513
    [42]
    刘永刚,侯立良,秦大同,等. 基于综合截割性能优化的采煤机变速截割控制[J]. 东北大学学报(自然科学版),2018,39(1):118-122,137.

    LIU Yonggang,HOU Liliang,QIN Datong,et al. Variable speed cutting control of shearer based on cutting performance optimization[J]. Journal of Northeastern University (Natural Science),2018,39(1):118-122,137.
    [43]
    葛帅帅,秦大同,胡明辉,等. 不同截割工况下变速截割采煤机截割性能多目标优化[J]. 煤炭学报,2018,43(8):2338-2347.

    GE Shuaishuai,QIN Datong,HU Minghui,et al. Multi-objective optimization for cutting performance of the variable speed cutting shearer under different conditions[J]. Journal of China Coal Society,2018,43(8):2338-2347.
    [44]
    范京道,徐建军,张玉良,等. 不同煤层地质条件下智能化无人综采技术[J]. 煤炭科学技术,2019,47(3):43-52.

    FAN Jingdao,XU Jianjun,ZHANG Yuliang,et al. Intelligent unmanned fully-mechanized mining technology under conditions of different seams geology[J]. Coal Science and Technology,2019,47(3):43-52.
    [45]
    王文海,蒋力帅,王庆伟,等. 煤矿综采工作面智能开采技术现状与展望[J]. 中国煤炭,2021(11):51-55.

    WANG Wenhai,JIANG Lishuai,WANG Qingwei,et al. Current situation and prospect of intelligent mining technology of fully mechanized mining face in coal mine[J]. China Coal,2021(11):51-55.
    [46]
    黄曾华,王峰,张守祥. 智能化采煤系统架构及关键技术研究[J]. 煤炭学报,2020,45(6):1959-1972.

    HUANG Zenghua,WANG Feng,ZHANG Shouxiang. Research on the architecture and key technologies of intelligent coal mining system[J]. Journal of China Coal Society,2020,45(6):1959-1972.
    [47]
    葛世荣,张晞,薛光辉,等. 我国煤矿煤机智能技术与装备发展研究[J]. 中国工程科学,2023,25(5):146-156. doi: 10.15302/J-SSCAE-2023.05.013

    GE Shirong,ZHANG Xi,XUE Guanghui,et al. Development of intelligent technologies and machinery for coal mining in China's underground coal mines[J]. Strategic Study of CAE,2023,25(5):146-156. doi: 10.15302/J-SSCAE-2023.05.013
    [48]
    NIE Wen,GUO Cheng,ZHANG Shaobo,et al. Optimization of spraying dust reduction technology of continuous miner machine and the dust environment in a tunnel,based on computational fluid dynamics (CFD) technology[J]. Powder Technology,2022,398. doi: 10.1016/j.powtec.2021.117044
    [49]
    CAMARGO H E,AZMAN A S,PETERSON J S. Engineered noise controls for miner safety and environmental responsibility[M]//HIRSCHI J. Advances in Productive,Safe,and Responsible Coal Mining. Woodhead Publishing,2019:215-243.
  • 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(13)  / Tables(1)

    Article Metrics

    Article views (233) PDF downloads(74) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return