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Application Research On The Bridge Deck Deformation Detection Technology Based On The 3D Laser Scanning

Posted on:2016-12-20Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2272330461964163Subject:Geodesy and Survey Engineering
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At the beginning of the seventeenth Century, the invention and application of the telescope plays an important role on the development of measurement technology. In 1903, the invention of the airplane promotes the development of the aerial survey technology. In 1964, the using of GPS brings a technological revolution in the field of Surveying and mapping. The 3D laser scanning technology is a new Surveying and mapping technology in recent 10 years, which has been praised as "another technology revolution after the GPS technology in the field of Surveying and mapping". The technology is the most efficient means to obtain the spatial data, which could obtain the real point cloud data with high precision, fast speed and no contact, and reconstruct the 3D space model of the scanned physical.The introduction of new technology often promotes the development of the industry. This paper expounds the research and application status at home and abroad of the 3D laser scanning technology, analyzes the principle and the error theory of 3D laser scanning technology, compares and analyzes the differences and advantage between the 3D laser scanning technology and traditional measurement methods. Combined with the actual situation that the study of 3D laser scanning technology in bridge deformation detection is less and the "bridge physiognomy", this paper studied application of bridge deformation detection based on 3D laser scanning technology.Bridge deformation detection is essential measure to maintain the normal use of the bridge during the operation. Traditional bridge deformation monitoring adopts total station, level, etc, and related ideas, methods and theory have been mature, which formed the theoretical system and corresponding technology industry standards. As an emerging technology, the 3D laser scanning technology has a unique advantage and function, but it is a long way before it is widely used in bridge deformation monitoring. Mainly as follows, most research on 3D laser scanning technology focused on the bridge deck scan data used to rapid building modeling, is rarely used in the bridge deformation detection and analysis, theoretical and experimental research in accuracy of less. Through theoretical study and field simulation, 3D laser scanning technology focuses on the feasibility of the bridge deck vertical deformation detection.From the application point of view, this paper research on the Fundamentals and Methods of 3D laser scanning,and introduces the field point cloud data processing procedure and point cloud data processing procedure in the industry. Nova MS50 3 d laser scanner provided by Leica company is used to accomplish the point cloud data collection work. Three kinds of simulative deformation point cloud data are collected. Combined with the initial state point cloud data and the experiment after the completion of the acquisition of point cloud data, five groups of test data are obtained. Point cloud data is analyzed by Geomagic Qualify, the simulative deformation value between the two sets of data is obtained, and compared with the theoretical value, the 3D laser scanning data processing results are close, which indicate that 3D laser scanning technology is certain feasibility in the bridge deformation monitoring.Experimental results show that precision 3D laser scanner in bridge deck scan(zenith distance 85 ° ~ 95 °) conditions, can reflect the vertical deflection of 3mm or more. This precision can be used to flexible bridge deflection observation, as well as some large span girder bridge load test conditions. 3D laser scanning technology used to detecting the deformation of the bridge with a certain application, for the production of practice has a certain reference value and practical significance.
Keywords/Search Tags:3D laser scanning, bridge, geomagic qualify, deformation detection
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