李世银, 王铨, 张楠. 基于MEMS惯性传感器的井下人员定位系统[J]. 煤矿安全, 2017, 48(4): 111-114.
    引用本文: 李世银, 王铨, 张楠. 基于MEMS惯性传感器的井下人员定位系统[J]. 煤矿安全, 2017, 48(4): 111-114.
    LI Shiyin, WANG Quan, ZHANG Nan. Underground Personnel Positioning System Based on MEMS Inertial Sensors[J]. Safety in Coal Mines, 2017, 48(4): 111-114.
    Citation: LI Shiyin, WANG Quan, ZHANG Nan. Underground Personnel Positioning System Based on MEMS Inertial Sensors[J]. Safety in Coal Mines, 2017, 48(4): 111-114.

    基于MEMS惯性传感器的井下人员定位系统

    Underground Personnel Positioning System Based on MEMS Inertial Sensors

    • 摘要: 针对煤矿井下人员定位的特殊环境与要求,提出一种基于行人航迹推算法(pedestrian dead reckoning, PDR)的微机电惯性传感器测量单元(micro-electro-mechanical system-inertial measurement unit, MEMS-IMU)定位系统,以MEMS中的加速度计、陀螺仪和磁力计获取数据,结合粒子滤波研究解决了传感器漂移误差关键技术问题,提高了井下定位精度。试验结果表明,该系统百米定位误差小于2 m,能够满足井下人员定位需求。

       

      Abstract: According to the special environment and requirements of underground personnel positioning in coal mine, the personnel positioning system was presented, which depended on the micro-electro-mechanical-system inertial measurement unit based on the pedestrian dead reckoning. It obtained data by the accelerometer, the gyroscope and the magnetometer in MEMS, the key technology problem was solved about the sensor drift error combined with the particle filter research, thus the underground positioning accuracy was improved. The experiment result showed that the average error was less than 2 m in 100 meters, which could satisfy the underground personnel positioning requirement.

       

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