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投稿时间:2024-04-28 修订日期:2024-07-17
投稿时间:2024-04-28 修订日期:2024-07-17
中文摘要: 井巷的精准测绘是矿山生产的重要环节,但当前的测绘工作缺乏快速高效的数据测量方法和共享方式。本研究基于便携式激光扫描仪,提出一种自适应切片式巷道体积计算方法,能集成在多种同时定位与地图构建(SLAM)框架中满足现场测绘高精度、高时效需求。现场实验表明,与矿山传统测量手段相比,体积误差和巷道断面误差均控制在2%以内,计算耗时控制在200 ms,能在手持设备上实时查看当前所测巷道的体积,并且能快速接入后台矿山软件,有效提高现场测绘效率,增强了各部门间数据共享能力。
中文关键词: 井巷测绘 便携式SLAM扫描仪 点云模型 切片法 Alpha-shape
Abstract:The precise surveying of mine tunnels is a crucial component of mining operations, yet current surveying methods lack rapid and efficient data measurement and sharing capabilities. This study introduces an adaptive slice-based volume calculation method for tunnels, leveraging portable laser scanners and capable of integration into various Simultaneous Localization and Mapping (SLAM) frameworks to meet the demands for high accuracy and real-time field surveying. Field experiments demonstrate that, compared to traditional mining measurement techniques, both volume and cross-sectional errors are maintained within 2%, with computation times kept under 200 ms. Moreover, this allows real-time viewing of the measured tunnel volume on handheld devices and facilitates rapid integration with backend mining software, effectively enhancing on-site surveying efficiency and improving data sharing capabilities between departments.
文章编号:20240428001 中图分类号:TD17
基金项目:国家自然科学基金面上项目(202352374256)
引用文本:
朱传明,刘晓明,李先敬,马少维,娄宏伟,赵子瑜,崔冰,谭丽龙.基于激光SLAM的切片式巷道体积计算方法[J].铜业工程,2024,(6):66-75


