Technology and applications of dynamic and precise engineering surveying

被引:0
|
作者
Li Q. [1 ,2 ,3 ]
Zhang D. [1 ,2 ,3 ]
Wang C. [1 ,2 ,3 ]
Chen Z. [1 ,2 ,3 ]
Tu W. [1 ,2 ,3 ]
机构
[1] Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen
[2] Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen
[3] Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen
基金
中国国家自然科学基金;
关键词
Dynamic precise engineering surveying; Intelligent surveying; Intelligent surveying devices; Internal deformation surveying of rockfill dams; Road surveying;
D O I
10.11947/j.AGCS.2021.20210172
中图分类号
学科分类号
摘要
The dynamic precision engineering survey is not only used in the construction but also in monitoring the dynamic change during usage. With the rapid popularization of various sensors and automated mobile platform, such as intelligent vehicles, unmanned aerial vehicle (UAV), unmanned ship, robots etc., the engineering survey is upgraded in an automated, dynamic and intelligent way. It is now armed with the ability to survey in movement. Surveying devices, including mature surveying robots, mobile surveying vehicle, etc., have been proposed. Another way is to assemble devices delicately for specific applications, which can achieve dynamic and precise measurements of position, posture, internal deform and external shape. Focusing on the intelligent device with integrated sensors and specific applications, this paper puts forward the integration principle of multiple sensors and the advanced data processing methods for intelligent engineering surveying. This paper also demonstrates several applications of these devices, such as internal deformation monitoring of the rockfill dam, damage monitoring of the urban underground water pipelines, surveying of the road damages and the damage detection on the south-to-north water diversion project (SNWDP), to show different requirements and solutions in different applications. © 2021, Surveying and Mapping Press. All right reserved.
引用
收藏
页码:1147 / 1158
页数:11
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