ZHENG Xuezhao, ZHAO Ju, ZHANG Duo, GUO Jun. Research status and development trend of coal mine rescue robot[J]. Journal of Mine Automation, 2019, 45(9): 7-12. DOI: 10.13272/j.issn.1671-251x.17426
Citation: ZHENG Xuezhao, ZHAO Ju, ZHANG Duo, GUO Jun. Research status and development trend of coal mine rescue robot[J]. Journal of Mine Automation, 2019, 45(9): 7-12. DOI: 10.13272/j.issn.1671-251x.17426

Research status and development trend of coal mine rescue robot

More Information
  • The research status and application of power system, explosion-proof design, multi-parameter monitoring and communication system of coal mine rescue robots at home and abroad were introduced, and the existing problems of coal mine rescue robots, such as limited cruising ability, short walking control distance, heavy weight of explosion-proof materials, poor reliability of information processing and transmission were pointed out. The development trend of coal mine rescue robots was prospected, that is, research and development of new energy batteries suitable for coal mine is one of the development trends of power supply of coal mine rescue robot, research and development of intelligent robots with autonomous walking, positioning and path planning is the development trend of coal mine rescue robots in the future, lightweight explosion-proof materials, intelligent integration of multi-source information, wireless and wired communication mode will also be the direction of intelligent development of coal mine rescue robots.
  • Related Articles

    [1]LI Shiyin, ZHANG Peng, MIN Minghui, LI Zhiwei, ZHANG Mengdi, XIAO Jiayang. Discussion on intelligent reflecting surface technology and its application in wireless blind spot coverage in coal mines[J]. Journal of Mine Automation, 2023, 49(6): 112-119. DOI: 10.13272/j.issn.1671-251x.18137
    [2]HU Yanjun, ZHAO Yingzhu, YANG Yixue, ZHAI Yushuang, LI Shiyin. Development of integrated localization and wireless communication and its application in the underground coal mine[J]. Journal of Mine Automation, 2022, 48(9): 123-133. DOI: 10.13272/j.issn.1671-251x.17945
    [3]ZHANG Liya. Research on mine integrated communication system[J]. Journal of Mine Automation, 2018, 44(3): 12-16. DOI: 10.13272/j.issn.1671-251x.17264
    [4]WANG Jun, GU Yidong, ZENG Ke. Application analysis of WiFi communication technology in coal mine informatizatio[J]. Journal of Mine Automation, 2017, 43(7): 90-93. DOI: 10.13272/j.issn.1671-251x.2017.07.019
    [5]WU Wei, TANG Lijun, JIANG Decai. Design of an intelligent accurate personnel positioning system for mine[J]. Journal of Mine Automation, 2017, 43(5): 72-75. DOI: 10.13272/j.issn.1671-251x.2017.05.018
    [6]ZHENG Wanbo, WU Yanqing. Design of integrated communication system of mine emergency rescue command[J]. Journal of Mine Automation, 2016, 42(3): 84-86. DOI: 10.13272/j.issn.1671-251x.2016.03.020
    [7]DU Anping. Application of LTE in mine wireless communication system[J]. Journal of Mine Automation, 2015, 41(7): 88-90. DOI: 10.13272/j.issn.1671-251x.2015.07.020
    [8]XU Wei, BAO Jian-ju. Mine-used TD-SCDMA Wireless Communication System and Solution of Release Platform of Mobile Informatio[J]. Journal of Mine Automation, 2011, 37(11): 7-9.
    [9]WANG Kai-min, ZENG Yong-hua, GU Yi-dong. Design and Application of Mine Wireless Communication System Based on CDMA Technology[J]. Journal of Mine Automation, 2008, 34(4): 56-58.
    [10]CAO Yu-hong. The Selection of Frequency Groups of Mine-used Wireless Communication System[J]. Journal of Mine Automation, 2005, 31(4): 38-40.
  • Cited by

    Periodical cited type(19)

    1. 林雪静, 赵建博, 王志义, 赵华明, 周锦江, 杨俊彦. 矿山搜救机器人研究现状及关键技术分析. 黄金. 2025(07)
    2. 徐中华,张鑫,付信凯,崔智翔,江松. SLAM技术在矿井智能化的研究现状与应用进展. 安徽工业大学学报(自然科学版). 2024(03): 294-304 .
    3. 马伟佳,范玫杉,徐冠宇. 煤矿机器人研究进展、关键技术及发展趋势. 机器人技术与应用. 2024(04): 3-10 .
    4. 崔泰华. 煤矿智能机器人发展与应用. 内蒙古煤炭经济. 2023(04): 157-159 .
    5. 闫栋栋,李红双,尚晓峰,刘芮含. 一种单摆式救援修复仿生机器人的研究. 机械设计. 2023(S1): 50-53 .
    6. 赵清,杨维,张立亚,胡青松. 灾后煤矿物联网无人机辅助节能数据采集方法. 煤炭科学技术. 2023(08): 228-238 .
    7. 薛春荣,李小波. 矿用救援探测机器人系统设计与研究. 煤炭工程. 2023(09): 170-174 .
    8. 赵红菊. 基于IMU的煤矿机器人定位算法研究. 煤炭技术. 2022(06): 192-195 .
    9. 程浩,门玉涛,张文昌,吴航,陈炜,张晓涛. 救援机器人导航技术研究现状与展望. 医疗卫生装备. 2022(09): 82-90+96 .
    10. 李洋,李二军. 布尔台煤矿智能机器人的应用研究. 中国煤炭. 2022(S1): 43-46 .
    11. 张春芳,张传俊,李艳华. 矿用井下救援机器人路径优化研究. 成都工业学院学报. 2021(01): 54-59 .
    12. 李俊杰. 蛇形机器人控制系统的设计与实现. 自动化应用. 2021(09): 95-98 .
    13. 葛世荣,胡而已,裴文良. 煤矿机器人体系及关键技术. 煤炭学报. 2020(01): 455-463 .
    14. 梁庆杰. 基于嵌入式Linux的煤矿救援机器人控制系统设计. 煤矿机械. 2020(07): 187-190 .
    15. 郭长娜. 煤矿机器人检测检验技术发展趋势及存在的问题. 煤矿安全. 2020(07): 125-127+131 .
    16. 张铎,吴佩利,郑学召,郭军. 矿井侦测无人机研究现状与发展趋势. 工矿自动化. 2020(07): 76-81 . 本站查看
    17. 陈杨阳,霍振龙,刘智伟,张袁浩. 我国煤矿运输机器人发展趋势及关键技术. 煤炭科学技术. 2020(07): 233-242 .
    18. 翟国栋,任聪,王帅,岳中文,潘涛,季如佳. 多尺度特征融合的煤矿救援机器人目标检测模型. 工矿自动化. 2020(11): 54-58 . 本站查看
    19. 郑学召,童鑫,张铎,郭军,张嬿妮. 矿井危险区域多旋翼侦测无人机关键技术探讨. 工矿自动化. 2020(12): 48-56 . 本站查看

    Other cited types(18)

Catalog

    GUO Jun

    1. On this Site
    2. On Google Scholar
    3. On PubMed

    Article Metrics

    Article views (382) PDF downloads (77) Cited by(37)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return