山岭隧道DMI精细化断面检测算法的研究及应用OA
Research and Application of DMI Refined Cross-Section Detection Algorithm for Mountain Tunnels
为准确分析山岭隧道矿山法施工中超欠挖情况,以便有效减少超挖和欠挖,降低施工成本和风险,研究提出基于三维激光扫描技术的DMI(Difference-Mean-Interpolation)精细化断面检测方法.采用三维激光扫描仪获取隧道点云数据,提出均值法去噪、差值法去噪和改进的克里金插值法(合称"DMI算法")进行原始点云的精细化去噪和插值处理,从而更加精细、准确地计算超欠挖值、超欠挖处数、超欠挖面积及平均线性超挖值等参数.在广东省某矿山法施工的山岭隧道中进行实际应用和对比,结果显示:相较于常规断面检测方法,DMI方法在检测结果上存在显著差异,尤其是最大欠挖(侵限)值和欠挖(侵限)处数上.由于点云数据的噪点,使得常规检测结果中欠挖(侵限)的位置和处数出现了误判;通过DMI算法进行去噪和插值处理后,能够有效地消除这些噪点,并自动补全遮挡和欠缺位置点云数据,避免了欠挖(侵限)的误判,从而全面准确地反映隧道真实的超欠挖情况.检测结果方面,开挖段落整体满足要求,不存在欠挖,但存在较大的超挖;初支段落整体上基本满足要求,但存在较小的侵限以及较差的平整度;建议适当调整预留变形量,并对初支段落的侵限处进行必要处理,以保证工程的安全性和质量.
To accurately analyze over-and under-excavation conditions in mountain tunnels constructed by the mining method,and to effectively reduce over-and under-excavation while lowering construction costs and risks,this study proposes a refined cross-section detection method based on 3D laser scanning technology and the DMI(Difference-Mean-Interpolation)algorithm.A 3D laser scanner was used to acquire tunnel point cloud data,and a mean filter denoising method,a difference-based denoising method,and an improved Kriging interpolation method(collectively referred to as the"DMI algorithm")were proposed to perform refined denoising and interpolation on the raw point clouds.This enabled more precise and accurate calculations of parameters such as over-and under-excavation values,the number of over-and under-excavation spots,over-and under-excavation areas,and average linear over-and under-excavation values.The method was applied and compared in a mountain tunnel constructed using the mining method in Guangdong Province.The results revealed that,compared with conventional cross-section detection methods,the DMI method showed significant differences in the results,particularly in the maximum under-excavation(clearance infringement)values and the number of under-excavation(clearance infringement)spots.Noise in the point cloud data caused conventional detection methods to misjudge the locations and number of under-excavation(clearance infringement).After denoising and interpolation using the DMI algorithm,these noise points were effectively removed,and point cloud data in occluded or missing areas were automatically completed,avoiding misjudgments of under-excavation(clearance infringement)and comprehensively and accurately reflecting the actual over-and under-excavation conditions of the tunnel.In terms of detection results,the excavation sections generally met the requirements,with no under-excavation observed,but notable over-excavation was present.The primary support sections generally met the requirements,but minor clearance infringement and poor flatness were observed.It is recommended to appropriately adjust the reserved deformation allowance and conduct necessary treatment on the clearance infringement areas in the primary support sections to ensure the safety and quality of the project.
李瑶;郑荣政;禚一;李艳;齐成龙;苏哿
中国铁路设计集团有限公司,天津 300308中国铁路设计集团有限公司,天津 300308中国铁路设计集团有限公司,天津 300308中国铁路设计集团有限公司,天津 300308中国铁路设计集团有限公司,天津 300308中国铁路设计集团有限公司,天津 300308
交通工程
山岭隧道三维激光扫描技术DMI算法精细化断面检测去噪与插值超欠挖分析
mountain tunnel3D laser scanning technologyDMI algorithmrefined cross-section detectiondenoising and interpolationover-and under-excavation analysis
《铁道标准设计》 2026 (1)
162-169,178,9
中国国家铁路集团有限公司科技研究开发计划项目(K2022G001)中国铁路设计集团有限公司科技开发课题(2022B03406018,2023BTJ07)
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