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地下采矿轴传感器数据收集方法

Artur Adamek1, Janusz Będkowski2, Paweł Kamiński3

  • 1Faculty of Mining Surveying and Environmental Engineering, AGH University of Science and Technology, 30-059 Kraków, Poland.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
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研究人员创建了第一个开放访问的地下矿井数据集. 这种有价值的资源支持各种应用,包括采矿环境中的3D测量和人工智能.

科学领域:

  • 地质科学 地质科学
  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉

背景情况:

  • 现有的文献缺乏对地下采矿井的开放访问数据集.
  • 这种数据缺口限制了诸如轴检查和自主导航等领域的研究.
  • 地下采矿环境为数据采集和分析带来了独特的挑战.

研究的目的:

  • 为了解决开放访问地下矿井数据的稀缺性.
  • 为推进移动绘图和人工智能研究提供全面的数据集.
  • 在采矿中建立3D测量和同时定位和映射 (SLAM) 的基准.

主要方法:

  • 使用多个LiDAR传感器 (Velodyne VLP-16,Velodyne Ultra Puck VLP-32c,Livox Tele-15) 和惯性测量单元 (IMU Xsens MTi-30) 的数据采集.
  • 通过15个地面控制点的地质调查收集高精度地面真相数据.
  • 使用6个Faro Focus 3D站进行地面激光扫描,捕获超过2.73亿个3D点.

主要成果:

  • 开发首个专门针对地下采矿井 (深度为-300米) 的开放访问数据集.
  • 一个丰富的数据集,包括数百万个适合各种研究应用的3D点.
关键词:
在IMU,IMU是IMU.李达尔 (LiDAR) 是一种激光雷达.矿山地图绘制 矿山地图绘制地下坑道测绘 地下坑道测绘

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  • 在采矿环境中展示移动绘图技术的现实应用.

    • 结论:

    • 该数据集成功地填补了地下采矿可用的研究资源中的关键缺口.
    • 数据的开放性质将促进人工智能,机器人技术和采矿勘测方面的创新.
    • 这项工作为未来关于地下基础设施监测和管理的研究提供了基础.