The full-field displacement intelligent measurement of retaining structures using UAV and 3D reconstruction

doi:10.1016/j.measurement.2024.114311

IR > 土木工程学院

	The full-field displacement intelligent measurement of retaining structures using UAV and 3D reconstruction
	Zhou, Xulin 1,2; Zhu, Qiankun1,2 ; Zhang, Qiong1,2 ; Du, Yongfeng1,2
	2024-03-15
在线发表时间	2024-02
发表期刊	Measurement: Journal of the International Measurement Confederation
ISSN	0263-2241
卷号	227
摘要	The displacement of retaining structures can provide an analytical basis for assessing its working condition. To address the shortcomings of conventional measurement techniques, which often involve high risk and labor-intensive procedures. This paper proposes an innovative approach. This method proposes the Improved-PatchmatchNet algorithm, Improved-ICP algorithm, and introduces the comparison algorithm M3C2 to achieve full-field displacement intelligent measurement of retaining structures. It is convenient, cost-effective, and acceptably accurate. In order to establish the practicality of this method, a physics-based graphic model (PBGM) is employed. During the PBGM model tests, it is observed that the error of the algorithm is less than 1 cm and the error of the average value is less than 6.82 %, which proved its effectiveness to measure the displacement of retaining structures. Ultimately, this method was employed to measure a framed composite anchored soil nail wall. Through six UAV flights over 18 months, five displacement measurements are obtained. © 2024
关键词	Cost effectiveness Deep learning Displacement measurement Image reconstruction Retaining walls Risk assessment 3D reconstruction Deep learning Field displacements Full-field displacement Graphics modelling Intelligent measurement M3c2 Physic-based graphic model Physics-based Retaining structure
DOI	10.1016/j.measurement.2024.114311
收录类别	EI ; SCIE
语种	英语
资助项目	National Natural Science Foundation of China [52168041]
WOS研究方向	Engineering ; Instruments & Instrumentation
WOS类目	Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS记录号	WOS:001186783400001
出版者	Elsevier B.V.
EI入藏号	20240715557836
EI主题词	Unmanned aerial vehicles (UAV)
EI分类号	461.4 Ergonomics and Human Factors Engineering ; 652.1 Aircraft, General ; 911.2 Industrial Economics ; 914.1 Accidents and Accident Prevention ; 943.2 Mechanical Variables Measurements
原始文献类型	Journal article (JA)
EISSN	1873-412X
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/169974
专题	土木工程学院
通讯作者	Zhu, Qiankun
作者单位	1.Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou; 730050, China; 2.Western Engineering Research Center of Disaster Mitigation in Civil Engineering of Ministry of Education, Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位	兰州理工大学; 土木工程学院
通讯作者单位	兰州理工大学; 土木工程学院
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhou, Xulin,Zhu, Qiankun,Zhang, Qiong,et al. The full-field displacement intelligent measurement of retaining structures using UAV and 3D reconstruction[J]. Measurement: Journal of the International Measurement Confederation,2024,227.
APA	Zhou, Xulin,Zhu, Qiankun,Zhang, Qiong,&Du, Yongfeng.(2024).The full-field displacement intelligent measurement of retaining structures using UAV and 3D reconstruction.Measurement: Journal of the International Measurement Confederation,227.
MLA	Zhou, Xulin,et al."The full-field displacement intelligent measurement of retaining structures using UAV and 3D reconstruction".Measurement: Journal of the International Measurement Confederation 227(2024).