基于LiDAR点云的大型垃圾填埋场数字高程模型建模方法研究
A MODELING METHOD OF DIGITAL ELEVATION MODEL FOR A LARGE GARBAGE LANDFILL BASED ON LiDAR POINT CLOUD
张效刚 1胡良军 2宋树祥 1吴建良 2杜永潇 2杨军 2李耀晃 1陈晓强1
作者信息
- 1. 广州环投环境服务有限公司,广州 510540
- 2. 广州市市政工程试验检测有限公司,广州 510520
- 折叠
摘要
为解决无人机巡检应用于生活垃圾填埋场堆体稳定性监测的技术难点,以国内华南地区最大的兴丰垃圾填埋场为研究对象,对其进行点云数据采集,采用径向基函数、最近邻域、不规则三角网、反距离加权方法4种方法建立数字高程模型,并通过对堆体阴影图、地形相关性、等高线图、最大排水长度图的模型参数分析,比选适宜于垃圾填埋场的点云采集与建模方法.结果表明:垃圾填埋场表面覆盖有反射方向性强的树脂类覆膜,对激光雷达射线的反射有明显的方向性,对无人机的可测试范围有较强的抑制作用.50 m航线高度下,需要航线间隔≤60 m才可保障高于100点/m2的数据采集量.在覆膜坡度较大区域,需布置单独的航线.比对建模及应用效果可知:不规则三角网方法综合性能最佳,地形高程精度偏差≤2cm,可以较好地应对地形等高线绘制、流水流迹模拟等任务.
Abstract
To solve the technical difficulties of using unmanned aerial vehicle(UAV)inspection for monitoring the stability of domestic waste landfills,the largest Xingfeng landfill in South China was taken as the research object to collect point cloud data.Four methods,namely radial basis function,nearest neighbor,triangulated irregular network,and inverse distance weighting were used to establish the digital elevation model.By analyzing the model parameters of the stack shadow map,terrain correlation,contour map,and maximum drainage length map,the suitable point cloud collection and modeling method for landfill sites were studied.The research results show that the landfill's surface is covered with resin coatings with strong reflection directionality,which has an obvious directionality for the reflection of LiDAR rays and a strong inhibitory effect on the testable range of UAV.At an altitude of 50 meters on a flight route,a distance of no more than 60 meters between flights is required to ensure a data collection volume above 100 points/m2.In areas with high film gradients,separate air routes must be arranged.Through modeling and application effect comparison,the triangulated irregular network method has the best comprehensive performance,with a terrain elevation accuracy deviation of no more than 2 cm,and can effectively handle tasks such as terrain contour drawing and water flow simulation.
关键词
无人机/航空激光雷达/点云/数字高程模型/不规则三角网Key words
unmanned aerial vehicle UAV/LiDAR/point cloud/digital elevation model/triangulated irregular network引用本文复制引用
基金项目
广州市建筑集团有限公司科技项目([2022]-KJ015)
广州市建筑集团有限公司科技项目([2022]-KJ022)
出版年
2024
NETL
NSTL
万方数据