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SHEN Guojie, ZHOU Desheng, ZHENG Xuena, LI Min. Design of precise 3D positioning system for mine roadway based on UWB[J]. Mining Safety & Environmental Protection, 2020, 47(6): 80-84. DOI: 10.19835/j.issn.1008-4495.2020.06.015
Citation: SHEN Guojie, ZHOU Desheng, ZHENG Xuena, LI Min. Design of precise 3D positioning system for mine roadway based on UWB[J]. Mining Safety & Environmental Protection, 2020, 47(6): 80-84. DOI: 10.19835/j.issn.1008-4495.2020.06.015

Design of precise 3D positioning system for mine roadway based on UWB

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  • Received Date: September 16, 2019
  • Revised Date: March 06, 2020
  • Available Online: September 16, 2022
  • Due to the irregular spatial distribution of mine roadway, disorganized equipment, random layout, poor working environment, and common phenomenon of NLOS (Non Line of Sight), etc., the positioning accuracy of personnel and equipment is low, in view of this problem, a novel precise three-dimensional positioning system based on Ultra Wide Band(UWB) is designed. Firstly, Kalman algorithm was used to perform NLOS filtering for TDOA measurements, then Chan algorithm was used to fuse multi-base station data to calculate the target position. An experimental platform was built to measure and calculate the label location. The experimental results show that the system has high positioning accuracy for both fixed and moving targets in mine roadway under harsh environment.
  • [1]
    孙继平.煤矿井下安全避险“六大系统”建设指南[M]. 北京:煤炭工业出版社, 2012.
    [2]
    陈新科, 喻川, 文智力. UWB定位技术在煤矿井下的应用[J]. 煤炭科学技术, 2018, 46(增刊1):190-192.
    [3]
    孙哲星. 煤矿井下人员精确定位方法[J]. 煤炭科学技术, 2018, 46(3): 130-134.
    [4]
    孙哲星, 孙继平. 异步测时矿井人员精确定位方法[J]. 煤炭学报, 2018, 43(5):282-288.
    [5]
    刘世森. 基于UWB的矿井人员精准定位技术[J].煤矿安全,2019, 50(6):118-120.
    [6]
    方文浩, 陆阳, 卫星.基于区域判定的超宽带井下高精度定位[J].计算机应用, 2018, 38(7):1989-1994.
    [7]
    张令文, 杨刚. 超宽带室内定位关键技术[J]. 数据采集与处理, 2013, 28(6):706-713.
    [8]
    ANGELIS G D, MOSCHITTA A, CARBONE P. Positioning techniques in indoor environments based on stochastic modeling of UWB round-trip-time measurements [J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(8):2272-2281.
    [9]
    王锦涛, 皇甫一鸣, 李哲舟, 等.基于UWB测距技术的室内定位研究[J]. 通信电源技术, 2018, 35(5):50-53.
    [10]
    符世琛, 李一鸣, 杨健健, 等.基于超宽带技术的掘进机自主定位定向方法研究[J].煤炭学报, 2015, 40(11):2603-2610.
    [11]
    MONICA S, FERRARI G. UWB-based localization in large indoor scenarios: optimized placement of anchor nodes[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2):987-999.
    [12]
    GUO T, QIAO F, LIU M, et al. An improved Kalman filtering method for indoor location[C]// IEEE International Conference on Computer & Communications. IEEE, 2017.
    [13]
    XU Y, SHMALIY Y S, LI Y, et al. UWB-based indoor human localization with time-delayed data using EFIR filtering[J].IEEE Access, 2017, 5.TiX
    [14]
    莫树培,李国良.采用分段加权最小二乘法的井下人员实时定位系统设计[J].矿业安全与环保, 2019, 46(3):32-36.
    [15]
    曾玲, 彭程, 刘恒. 基于信号到达时间差的超宽带室内定位算法[J]. 计算机应用, 2018(1):135-139.
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