Non-contact identification of bridge deflection based on network camera

doi:10.6052/j.issn.1000-4750.2021.03.0221

IR > 土木工程学院

	Non-contact identification of bridge deflection based on network camera
	Zhu, Qian-Kun1,2 ; Cui, De-Peng 1; Du, Yong-Feng1,2
	2022-06-01
发表期刊	Gongcheng Lixue/Engineering Mechanics
ISSN	1000-4750
卷号	39 期号:6 页码:146-155
摘要	A non-contact identification system of bridge deflection based on network cameras is established to solve the problem of poor accessibility, of low efficiency, and of incompetence in all-weather real-time monitoring of the traditional bridge deflection identification system. The system used LED (light-emitting diode) lights as the marker and took network cameras as the acquisition equipment to transmit the image information wirelessly, the deflection time history information of the target is obtained by using the computer carries HSV (hue, saturation, and value) based on fast template matching and color tracking (cvCamShift) based on geometric matching algorithm, and then the non-contact identification of bridge deflection can be realized. The feasibility of the system is verified by the vibration tests under four working conditions on the footbridge model and the field test of a real bridge. The results show that: in the model test, the error of the time domain and of the frequency domain information identified by the system compared with the laser displacement sensor is less than 0.6%, and the error can still be less than 0.7% under the interference of fog. Under the real bridge test, the error of the system identification results is less than 1.9% compared with the bridge deflection instrument. This indicates that the system has strong robustness and good economy and has a wide application prospect. Copyright ©2022 Engineering Mechanics. All rights reserved.
关键词	Color matching Deflection (structures) Errors Frequency domain analysis Template matching Acquisition equipments Bridge deflection Contacts identification Hue values Lightemitting diode Machine-vision Network cameras Non-contact Real time monitoring Real time monitors
DOI	10.6052/j.issn.1000-4750.2021.03.0221
收录类别	EI
语种	中文
出版者	Tsinghua University
EI入藏号	20222212178675
EI主题词	Computer vision
EI分类号	408.2 Structural Members and Shapes ; 723 Computer Software, Data Handling and Applications ; 723.5 Computer Applications ; 741.2 Vision ; 921.3 Mathematical Transformations
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/158449
专题	土木工程学院
作者单位	1.Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou; 730050, China; 2.International Research Base on Seismic Mitigation and Isolation of Gansu Province, Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhu, Qian-Kun,Cui, De-Peng,Du, Yong-Feng. Non-contact identification of bridge deflection based on network camera[J]. Gongcheng Lixue/Engineering Mechanics,2022,39(6):146-155.
APA	Zhu, Qian-Kun,Cui, De-Peng,&Du, Yong-Feng.(2022).Non-contact identification of bridge deflection based on network camera.Gongcheng Lixue/Engineering Mechanics,39(6),146-155.
MLA	Zhu, Qian-Kun,et al."Non-contact identification of bridge deflection based on network camera".Gongcheng Lixue/Engineering Mechanics 39.6(2022):146-155.