基于5G技术的露天矿山导航与位置定位研究

    Research on navigation and location positioning of open-pit mines based on 5G technology

    • 摘要: 针对露天矿山复杂环境下定位方法易受遮挡等因素影响,难以满足露天矿山生产作业对精准定位的需求,本研究提出了基于5G技术的露天矿山导航与位置定位方法。该方法首先利用北斗卫星对矿山内设备进行初步定位,获取设备的基本位置信息。同时,采用基于5G到达时间差(TDOA)的定位技术,通过测量设备与多个5G基站之间的信号绝对时间差,计算出设备到各基站的绝对距离差,从而得到设备的初步位置。将北斗卫星与5G技术的定位结果输入改进型联邦卡尔曼滤波模型进行最优融合处理。该模型通过增加局部滤波器和故障自检模块,有效避免了因单一系统故障导致的数据污染问题。通过不断融合两种技术的定位信息,实时更新露天矿区内设备的位置,为工作人员和无人机等提供准确的导航信息,从而实现露天矿山的高效导航与精准位置定位。实验结果表明:该方法的定位RMSE值稳定在0.5~2.0 m范围内,PDOP值始终保持在3.0以下。此外,该方法在不同环境和各类设备上均能获取有效位置信息,导航轨迹与期望位置的贴合程度高,显示出较强的环境适应性。

       

      Abstract: In response to the influence of factors such as occlusion on positioning methods in complex environments of open-pit mines, which makes it difficult to meet the precise positioning needs of open-pit mining production operations, this study proposes a navigation and location positioning method for open-pit mines based on 5G technology. This method first uses Beidou satellite to preliminarily locate the equipment in the mine and obtain the basic location information of the equipment. At the same time, the positioning technology based on 5G Time Difference of Arrival(TDOA) is adopted to measure the absolute time difference of signals between the device and multiple 5G base stations, calculate the absolute distance difference between the device and each base station, and obtain the preliminary position of the device. Input the positioning results of Beidou satellite and 5G technology into an improved Federated Kalman Filter model for optimal fusion processing. This model effectively avoids data pollution caused by a single system failure by adding local filters and fault self checking modules. By continuously integrating the positioning information of two technologies and updating the real-time location of equipment in open-pit mining areas, accurate navigation information is provided for workers and drones, thereby achieving efficient navigation and precise location positioning in open-pit mines. The experimental results show that the positioning RMSE value of this method is stable within the range of 0.5-2.0 m, and the PDOP value always remains below 3.0. In addition, this method can obtain effective location information in different environments and various devices, and the navigation trajectory has a high degree of fit with the expected location, demonstrating strong environmental adaptability.

       

    /

    返回文章
    返回