煤炭工程 ›› 2021, Vol. 53 ›› Issue (3): 161-165.doi: 10.11799/ce202103032

• 研究探讨 • 上一篇    下一篇

基于三维激光扫描的矿区道路沉陷监测研究

王腾1,查剑锋2,张民3,李得军2,兰青1,杨默含1,何陈1   

  1. 1. 中国矿业大学环境与测绘学院
    2. 中国矿业大学
    3. 兖州煤业股份有限公司 杨村煤矿
  • 收稿日期:2020-03-26 修回日期:2020-04-27 出版日期:2021-03-20 发布日期:2021-05-10
  • 通讯作者: 查剑锋 E-mail:1477265245@qq.com

  • Received:2020-03-26 Revised:2020-04-27 Online:2021-03-20 Published:2021-05-10

摘要: 针对矿区道路变形,如道路塌陷,道路隆起,路面裂缝等,对车辆通行造成的重大影响,提出了一种基于三维激光扫描的矿区道路沉陷监测方法|首先,通过三维激光扫描仪获取路面点云数据,然后利用插值得到各期DEM数据,变形后的DEM数据与原始DEM数据相减得到下沉量,最后使用反距离加权法对下沉数据栅格化处理得到道路下沉模型,利用下沉信息进而提取道路倾斜、曲率等变形信息。使用该方法在五沟煤矿附近S203省道进行实验,得到的结果与实测水准数据吻合,验证了该方法在道路沉陷监测上的可行性。

关键词: 道路沉陷, 三维激光, 反距离加权法, 信息提取

Abstract: Road deformation in mining areas, such as road collapse, road uplift, road surface cracks,will have a significant impact on vehicle traffic safety. This paper presents a method to monitor road subsidence in mining area by 3d laser.First through 3d laser scanner to obtain pavement point cloud data, and then each phase of the DEM data are obtained by interpolation,the DEM data after deformation and subsidence,the original DEM data subtraction to get the final use of inverse distance weighting method to rasterize subsidence data processing for road subsidence model,using subsidence information to extract road slope and curvature deformation information. The proposed method was tested on S203 provincial road near wugou coal mine, and the results were consistent with the measured level data, which verified the feasibility of the method in monitoring road subsidence.

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