Irregular Pit Extraction And Volume Calculation Based On 3D Point Clou

With the rapid development of society and economy,the interaction between people in various places is frequent,and three-dimensional three-dimensional transportation is also facing severe tests.The damage of infrastructure is common.Following,how to quickly and accurately identify and extract and the volume calculation of irregular pits is the topic that is currently urgently needed.Only by ensuring smooth transportation and better travel safety can we better carry out economic construction.With the rapid development of three-dimensional point cloud technology,this article will visualize irregular pits,and use point cloud collection equipment to obtain irregular pits of three-dimensional cloud data,and extract and calculate it.First of all,the irregular pits and other grounds are distinguished through the method of fitting plane fitting,so as to achieve the extraction of irregular pits and clouds;Caves and other methods are processed with irregular pits of pits to obtain irregular pits with high accuracy.On this basis,this article focuses on the calculation of the volume of irregular pits,and adopts the adaptive point cloud.The slicing algorithm calculates the volume of irregular pits,searching algorithms through the contour scanned by Graham,the outline search algorithm scanned by 360 ° scanning of the plane point cloud ray,and the threshold iteration of the threshold scanning of the plane point cloud ray The border search has achieved three-dimensional volume calculation of irregular pits.The main research content and results in this article are as follows:(1)Pre-processing such as streamlined,noise,and hole replenishment of irregular pits.This article uses the method-based point cloud simplified algorithm based The point cloud supplementation method pre-process the experimental data,and the experiment verification the reliability and accuracy of the method mentioned.(2)Research on the identification and extraction method of irregular pits.The irregular pits recognition and extraction method based on the plane point cloud fitting is proposed.This method needs to be plane to fit the ground according to the irregular pits.Initial algorithm,then distinguish the point clouds on the plane and the point cloud under the plane,remove other noise points under the plane according to the location information of the irregular pits,to get the irregular pit-shaped object cloud.(3)Use the point cloud slicing algorithm to calculate irregular pits.Use a slice algorithm to calculate the volume of irregular pits.This algorithm first seizures the point cloud,and then use the boundary contour search algorithm to determine the boundary of each slice and calculate the section area.In the end,add the volume of all slices to get the overall accumulation of irregular pits.This article proposes a threshold iteration outline search algorithm based on a plane point cloud ray 360 ° scanning.The experimental results show that the volume error of the cone is 0.6%,the volume error of the hemisphere is 1.0%,and the volume error of the bowl-shaped body is 0.1%.The accuracy is better than other boundary search algorithms;on the basis of the point cloud slicing algorithm,the determination of the number of slices to study the number of slices,and propose a self-adaptive determination algorithm of the number of slices.The volume required for the volume of the bowl-shaped body model is 6S,4S,and 2S,respectively,which are lower than the time required for the calculation of the original slicing algorithm,indicating that the adaptive slice algorithm can improve the operational efficiency.(4)Analysis and summary through the experimental results,from the perspective of the impact of different data sources on accuracy,the impact of different calculation methods on accuracy,and the impact of different feature points density on accuracy,the system summarizes the applicability of the method.