Volume 49 Issue 1
Feb.  2023
Turn off MathJax
Article Contents
Article Navigation >  Journal of Mine Automation  > 2023  >  49(1): 162-170
YANG Kun. Research on the intelligent management system of the trackless rubber-tyred vehicles in the coal mine[J]. Journal of Mine Automation，2023，49(1)：162-170.  doi: 10.13272/j.issn.1671-251x.18002
Citation: YANG Kun. Research on the intelligent management system of the trackless rubber-tyred vehicles in the coal mine[J]. Journal of Mine Automation，2023，49(1)：162-170.  doi: 10.13272/j.issn.1671-251x.18002
shu

Research on the intelligent management system of the trackless rubber-tyred vehicles in the coal mine

doi: 10.13272/j.issn.1671-251x.18002
  • 1.

    CCTEG China Coal Research Institute, Beijing 100013, China

  • 2.

    Engineering Research Center for Technology Equipment of Emergency Refuge in Coal Mine, Beijing 100013, China

  • 3.

    Beijing Engineering and Research Center of Mine Safe, Beijing 100013, China

  • Received Date: 2022-09-13
  • Rev Recd Date: 2023-01-06
    • Available Online: 2023-01-17
    Abstract
  • In the coal mine, underground working places are scattered, transportation routes are complex, and there are many bends and intersections in the roadway. Based on the above characteristics and the needs of intelligent construction of coal mines, the intelligent management system of trackless rubber-tyred vehicles in coal mines is studied from the aspects of demand analysis, system architecture and key technologies. Through demand analysis, it is concluded that the intelligent management system of mine trackless rubber-tyred vehicles should have the functions of precise positioning of mine vehicles, real-time collection of mine vehicle working conditions information, mine vehicle mobile communication, mine vehicle intelligent navigation, real-time monitoring and control of mine vehicle status and mine vehicle anti-collision warning. The key technologies of the system are introduced in detail. The application of UWB positioning technology in mine trackless rubber-tyred vehicle positioning is analyzed. It is suggested that the mobile communication technology of mine vehicles should adopt WiFi and 4G/5G technology. The characteristics of common path-planning technology are discussed. It is concluded that the mine trackless rubber-tyred vehicle navigation technology should adopt the path planning algorithm based on graph search with high maturity. The mine trackless rubber-tyred vehicle navigation and track playback technology should be combined with GIS technology. The traffic light control technology of mine vehicles is studied. The intersection model and single-vehicle passing lane model are proposed. The vehicle anti-collision warning technology is studied. According to the position of pedestrians and vehicles and the relative direction and distance between them and the UWB base station, the anti-collision early warning principle under the two modes of the same base station and the cross-base station is analyzed. The experimental results show that the mine vehicle communication based on UWB, mine vehicle path planning and vehicle track playback based on A* algorithm, traffic light control, anti-collision early warning and other functions can meet the application requirements.

     

    • FullText(HTML)
  • loading
    • References(19)
  • [1]
    王国法,赵国瑞,任怀伟. 智慧煤矿与智能化开采关键核心技术分析[J]. 煤炭学报,2019,44(1):34-41. doi: 10.13225/j.cnki.jccs.2018.5034

    WANG Guofa,ZHAO Guorui,REN Huaiwei. Analysis on key technologies of intelligent coal mine and intelligent mining[J]. Journal of China Coal Society,2019,44(1):34-41. doi: 10.13225/j.cnki.jccs.2018.5034
    [2]
    孙继平,江嬴. 矿井车辆无人驾驶关键技术研究[J]. 工矿自动化,2022,48(5):1-5,31.

    SUN Jiping,JIANG Ying. Research on key technologies of mine unmanned vehicle[J]. Journal of Mine Automation,2022,48(5):1-5,31.
    [3]
    王国法,杜毅博. 煤矿智能化标准体系框架与建设思路[J]. 煤炭科学技术,2020,48(1):1-9. doi: 10.13199/j.cnki.cst.2020.01.001

    WANG Guofa,DU Yibo. Coal mine intelligent standard system framework and construction ideas[J]. Coal Science and Technology,2020,48(1):1-9. doi: 10.13199/j.cnki.cst.2020.01.001
    [4]
    王国法,杜毅博. 智慧煤矿与智能化开采技术的发展方向[J]. 煤炭科学技术,2019,47(1):1-10. doi: 10.13199/j.cnki.cst.2019.01.001

    WANG Guofa,DU Yibo. Development direction of intelligent coal mine and intelligent mining technology[J]. Coal Science and Technology,2019,47(1):1-10. doi: 10.13199/j.cnki.cst.2019.01.001
    [5]
    翟昆志. 矿用防爆胶轮车调度管理系统在白芨沟井的应用[J]. 神华科技,2015,13(1):40-42,46. doi: 10.3969/j.issn.1674-8492.2015.01.012

    ZHAI Kunzhi. Application of mine explosion-proof rubber-tyred vehicle scheduling management system in Baijigou Well[J]. Shenhua Science and Technology,2015,13(1):40-42,46. doi: 10.3969/j.issn.1674-8492.2015.01.012
    [6]
    郭海军,续芳. 煤矿无轨胶轮车监控调度系统设计[J]. 工矿自动化,2013,39(4):9-12. doi: 10.7526/j.issn.1671-251X.2013.04.003

    GUO Haijun,XU Fang. Design of monitoring and dispatching system of trackless rubber-tyred locomotive in coal mine[J]. Industry and Mine Automation,2013,39(4):9-12. doi: 10.7526/j.issn.1671-251X.2013.04.003
    [7]
    周斌. 融合无线定位技术的井下车辆管理系统设计[J]. 煤矿机械,2018,39(9):1-4. doi: 10.13436/j.mkjx.201809001

    ZHOU Bin. Design of mine vehicle management system based on wireless positioning technology[J]. Coal Mine Machinery,2018,39(9):1-4. doi: 10.13436/j.mkjx.201809001
    [8]
    杨海宏. 辅助运输车辆信息化管理系统设计[J]. 煤炭科学技术,2015,43(增刊2):124-127.

    YANG Haihong. Design on auxiliary transportation vehicle information management system[J]. Coal Science and Technology,2015,43(S2):124-127.
    [9]
    包翔宇,单成伟,吴岩明. 基于UWB精确定位的辅助运输交通灯自动控制系统[J]. 工矿自动化,2022,48(6):100-111.

    BAO Xiangyu,SHAN Chengwei,WU Yanming. Automatic control system of auxiliary transportation traffic light based on UWB precise positioning[J]. Journal of Mine Automation,2022,48(6):100-111.
    [10]
    朱晓民. 基于UWB及语义地图的室内移动机器人定位与路径规划关键技术研究[D]. 上海: 华东理工大学, 2020.

    ZHU Xiaomin. Research on key techniques in positioning and path planning of indoor mobile robots based on UWB and semantic map[D]. Shanghai: East China University of Science and Technology, 2020.
    [11]
    贺磊,魏明生,仇欣宇,等. 基于UWB的井下人员定位算法研究[J]. 工矿自动化,2022,48(6):134-138.

    HE Lei,WEI Mingsheng,QIU Xinyu,et al. Research on positioning algorithm of underground personnel based on UWB[J]. Journal of Mine Automation,2022,48(6):134-138.
    [12]
    王飞. 基于UWB技术的矿井精确定位系统[J]. 煤矿安全,2021,52(7):99-102. doi: 10.13347/j.cnki.mkaq.2021.07.017

    WANG Fei. Accurate positioning system for mine based on UWB technology[J]. Safety in Coal Mines,2021,52(7):99-102. doi: 10.13347/j.cnki.mkaq.2021.07.017
    [13]
    王磊. 浅谈4G无线通信技术在煤矿生产中的应用[J]. 煤,2019,28(8):106-108. doi: 10.3969/j.issn.1005-2798.2019.08.044

    WANG Lei. Discussion on application of 4G wireless communication technology in coal mine production[J]. Coal,2019,28(8):106-108. doi: 10.3969/j.issn.1005-2798.2019.08.044
    [14]
    张临炜. 基于WebGIS的遥感大数据信息管理与可视化分析[D]. 桂林: 桂林理工大学, 2018.

    ZHANG Linwei. Management and visualization of remote sensing big data information based on WebGIS[D]. Guilin: Guilin University of Technology, 2018.
    [15]
    张楠西. 基于WebGIS的无人机海事监管系统的设计与实现[D]. 北京: 北京工业大学, 2018.

    ZHANG Nanxi. Design and implementation of UAV maritime regulation system based on WebGIS[D]. Beijing: Beijing University of Technology, 2018.
    [16]
    周相坡,周依尔,徐立军,等. 一种基于概率路线图的月球巡航车路径规划算法[J]. 空间控制技术与应用,2020,46(6):43-49,78.

    ZHOU Xiangpo,ZHOU Yi'er,XU Lijun,et al. A path planning algorithm for lunar cover based on probabilistic roadmap[J]. Aerospace Control and Application,2020,46(6):43-49,78.
    [17]
    徐联杰,刘检华,何永熹,等. 一种基于改进快速搜索随机树算法的管路自动布局方法[J]. 图学学报,2016,37(1):1-10. doi: 10.11996/JG.j.2095-302X.2016010001

    XU Lianjie,LIU Jianhua,HE Yongxi,et al. A method for pipe auto layout based improved RRT algorithm[J]. Journal of Graphics,2016,37(1):1-10. doi: 10.11996/JG.j.2095-302X.2016010001
    [18]
    于佳乔,李岩. 基于改进遗传算法的自动导航小车路径规划调度[J]. 机床与液压,2022,50(5):16-20. doi: 10.3969/j.issn.1001-3881.2022.05.004

    YU Jiaqiao,LI Yan. Research on AGV path planning based on improved genetic algorithm[J]. Machine Tool & Hydraulics,2022,50(5):16-20. doi: 10.3969/j.issn.1001-3881.2022.05.004
    [19]
    李海洋. 基于GIS的京津冀协同应急物流管理系统研究[D]. 廊坊: 防灾科技学院, 2021.

    LI Haiyang. Study on collaborative emergency logistics management system of Beijing-Tianjin-Hebei region based on GIS[D]. Langfang: Institute of Disaster Prevention, 2021.
    • 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(12)  / Tables(5)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (359) PDF downloads(72) 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