江淮水利科技2026，Vol.21Issue(2)：19-25,7.DOI:10.20011/j.cnki.JHWR.202602004
基于多源数据融合的弃渣场体积高效定量技术研究
Research on efficient quantitative technology for spoil disposal site volume based on multi-source data fusion
摘要
Abstract
To improve the accuracy of monitoring the volume of spoil disposal sites and address the issues of inconsistent data formats and standards inherent in single monitoring methods,this study,based on the principles of topographic surveying,spatial coordinate matching theory,and precision hierarchical control methods,integrates UAV aerial surveying,3D laser scanning,and the Cyclone+Smart 3D data processing platform to propose an efficient quantitative technique for spoil disposal site volume based on multi-source data fusion.A DJI M300 RTK UAV equipped with a 5E lens camera system was employed to acquire panoramic high-resolution images,while a Leica Scan P50 high-precision terrestrial 3D laser scanner was used to obtain dense point cloud data.An innovative"aerial survey 3D model-ground high-precision point cloud data"coupling algorithm was developed,achieving precise fusion of multi-source data through techniques such as coordinate system unification,feature point matching,and point cloud registration.Taking 26 spoil disposal sites in Huoshan county and Jinzhai county as the research subjects,the study systematically analyzed the influence pattern of point cloud density on the accuracy of earthwork volume calculation.The results indicated that for spoil disposal sites in gentle terrain areas,a point cloud accuracy of 100 mm yields a calculation error of 4.02%,meeting engineering requirements;for sites in undulating terrain areas,a point cloud accuracy of 50 mm was necessary to control the error within 3.42%.By rationally selecting the accuracy grade,data processing efficiency can be significantly improved while ensuring calculation accuracy,with data volume reduced by approximately 99%for gentle areas and 98%for undulating areas.The research constructed a reverse modeling mechanism of"point cloud correction model+model completion point cloud,"realizing the complementary advantages of aerial and ground data,and providing reliable technical support for the efficient and accurate acquisition of spoil disposal site volumes.关键词
弃渣场/多源数据融合/三维激光扫描/无人机航测Key words
spoil disposal site/multi-source data fusion/3D laser scanning/UAV photogrammetry分类
天文与地球科学引用本文复制引用
王诏楷,夏小林,陈磊,赵黎明,陈康祚..基于多源数据融合的弃渣场体积高效定量技术研究[J].江淮水利科技,2026,21(2):19-25,7.基金项目
安徽省自然科学基金联合基金项目(2308085US04) （2308085US04）
安徽省自然科学基金青年项目(2408085QE162) （2408085QE162）
安徽省(水利部淮河水利委员会)水利科学研究院科技攻关计划项目(KJGG202502) （水利部淮河水利委员会）
