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YANG Li. Research on magnetic tracking and positioning technology for automatic driving in coal mine[J]. Journal of Mine Automation，2022，48(5)：107-111. DOI: 10.13272/j.issn.1671-251x.2021110049
Citation: YANG Li. Research on magnetic tracking and positioning technology for automatic driving in coal mine[J]. Journal of Mine Automation，2022，48(5)：107-111. DOI: 10.13272/j.issn.1671-251x.2021110049
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Research on magnetic tracking and positioning technology for automatic driving in coal mine

  • CCTEG Beijing Huayu Engineering Company, Beijing 100120, China

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  • Received Date: November 18, 2021
  • Revised Date: April 29, 2022
  • Available Online: March 04, 2022
    Abstract
  • Most auxiliary transportation vehicles in coal mine adopt wireless positioning method, and the dynamic positioning precision is more than 3 m. This method can not meet the requirements of automatic driving vehicles positioning precision in coal mine. The response time of real-time vehicle positioning data is more than 400 ms, which cannot meet the requirements of automatic driving vehicles for real-time acquisition of positioning information. In order to solve the above problems, a magnetic tracking and positioning technology for automatic driving in coal mine is proposed. The magnetic induction antenna device is arranged at a suitable position of the automatic driving vehicle for auxiliary transportation. Several numbered passive induction magnetic nails are arranged on the vehicle driving route. When the induction antenna passes through the passive induction magnetic nails, the passive induction magnetic nails generate pulse signals under the action of the magnetic field of the induction antenna. The specific position of the pulse signal generation position within the magnetic field range of the magnetic induction antenna can be obtained in real time. The positioning information is forwarded by the magnetic induction antenna to vehicle control system through the CAN bus communication interface. According to the relative position of the center point of the magnetic induction antenna and the passive induction magnetic nail, the control system calculates the deviation position between the position of the vehicle's roadway and the center of the driving route through the batch informed tree (BIT*) algorithm. Therefore, the purpose of positioning and tracking is achieved. In order to verify the effectiveness of the magnetic tracking and positioning technology, an industrial test is carried out in Shenmu Zhangjiamao Coal Mine of Shaanxi Coal Group. Magnetic nails are arranged in a single row with equal spacing in conventional sections. According to different application requirements, the combination of 5 rows of 4 magnetic nails and 2 rows of 5 magnetic nails is used to arrange passive induction magnetic nails in mine well,roadway turn and before and after destination of vehicles route. This method realizes the millimeter-level high precision, millisecond-level low latency, and effective tracking and positioning of the automatic driving vehicle. And it enables the automatic driving vehicle to accurately drive to the destination according to the optimal path.
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    • References (13)
  • [1]
    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.

    WANG Guofa,DU Yibo. Development direction of intelligent coal mine and intelligent mining technology[J]. Coal Science and Technology,2019,47(1):1-10.
    [2]
    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.

    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.
    [3]
    张彦禄,高英,樊运平,等. 煤矿井下辅助运输的现状与展望[J]. 矿山机械,2011,39(10):6-9.

    ZHANG Yanlu,GAO Ying,FAN Yunping,et al. Current situation and prospects of underground auxiliary transportation in collieries[J]. Mining & Processing Equipment,2011,39(10):6-9.
    [4]
    MEYER-EBERLING J, ROTH M. Method for estimating the range of amotor vehicle: US12915137[P]. 2011-05-12.
    [5]
    鲍文亮. 基于特征地图的煤矿辅助运输车辆定位方法[J]. 煤炭科学技术,2020,48(5):115-119.

    BAO Wenliang. Localization method for auxiliary transport vehicles of coal mine based on feature map[J]. Coal Science and Technology,2020,48(5):115-119.
    [6]
    KESSELS J, ROSCA B, BERGVELD H J. On-line battery identification for electric driving range prediction[C]//2011 IEEE Vehicle Power and Propulsion Conference（VPPC）, Chigago, 2011: 1-6.
    [7]
    王烁. 煤矿用无轨胶轮车发展现状与展望[J]. 煤炭与化工,2016,39(5):22-24.

    WANG Shuo. Development and outlook of mine trackless tyred vehicle[J]. Coal and Chemical Industry,2016,39(5):22-24.
    [8]
    PANDIT S B, KSHATRIYA T K, VAIDYA V G. Motor assistance for a hybrid vehicle based on predicted driving range: US2011008739-0A1[P].2011-02-14.
    [9]
    袁晓明. 煤矿电动无轨运输车辆的关键技术研究[J]. 煤炭科学技术,2011,39(5):80-82.

    YUAN Xiaoming. Research on key technology of mine electric trackless transportation vehicle[J]. Coal Science and Technology,2011,39(5):80-82.
    [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):1-15.

    WANG Guofa,PANG Yihui,REN Huaiwei. Intelligent coal mining pattern and technological path[J]. Journal of Mining and Strata Control Engineering,2020,2(1):1-15.
    [11]
    张立宽. 改革开放40年我国煤炭工业实现三大科技革命[J]. 中国能源,2018,40(12):9-13. DOI: 10.3969/j.issn.1003-2355.2018.12.002

    ZHANG Likuan. China's coal industry realizes three scientific revolutions during the past 40 years[J]. Energy of China,2018,40(12):9-13. DOI: 10.3969/j.issn.1003-2355.2018.12.002
    [12]
    赵浩, 毛开江, 曲业明, 等. 我国露天煤矿无人驾驶及新能源卡车发展现状与关键技术[J]. 中国煤炭, 2021, 47（4）: 45-50.

    ZHAO Hao, MAO Kaijiang, QU Yeming, et al. Development status and key technology of driverless and new energy trucks in open-pit coal mine in China [J] China Coal, 2021, 47（4）: 45-50.
    [13]
    张智,张磊,苏丽,等. 基于人工离线特征库的室内机器人双目定位[J]. 哈尔滨工程大学学报,2017,38(12):1906-1914.

    ZHANG Zhi,ZHANG Lei,SU Li,et al. Binocular localization of indoor robot based on artificial offline feature-database[J]. Journal of Harbin Engineering University,2017,38(12):1906-1914.
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    YANG Li, 625017892@qq.com

    • CCTEG Beijing Huayu Engineering Company, Beijing 100120, China

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