研究目的
Investigating the factors influencing the accuracy of the digital model obtained by laser scanning, including the density of measurements, modelling methods, and the impact of object material properties, surface conditions, and environmental factors.
研究成果
The study concludes that while users have limited control over some factors affecting TLS measurement accuracy, careful selection of scanning geometry and atmospheric conditions can optimize results. It highlights the importance of considering point cloud density for surface representativeness and the potential of TLS measurements in detecting small deformations on dam surfaces. The research underscores the need for comprehensive handling of point cloud data to achieve high accuracy in digital models.
研究不足
The study acknowledges the complexity of error sources in TLS measurements due to the large number of interconnected influencing factors. It also notes the difficulty in changing certain parameters like object material or mirror rotation to improve measurement conditions. The impact of atmospheric conditions and scanning geometry, while selectable by the user, may still limit the accuracy of measurements.
1:Experimental Design and Method Selection:
The study involves the use of terrestrial laser scanning (TLS) technology to capture point clouds of concrete dam walls under different conditions. The methodology includes the approximation of planes and surfaces from point clouds to evaluate accuracy.
2:Sample Selection and Data Sources:
Two point clouds derived from scanning two different dams (Cankov Kamak dam and Studena dam) using different instruments (LeicaNovaTM50 and Leica Scan Station C10) under varying conditions.
3:List of Experimental Equipment and Materials:
LeicaNovaTM50 laser scanner, Leica Scan Station C10, control points measured with a total station.
4:Experimental Procedures and Operational Workflow:
Scanning of dam walls from fixed positions, creation of triangular irregular networks (TIN) from point clouds, approximation of planes and surfaces, comparison with control points, and analysis of point cloud density and intensity of reflected signal under different illumination and moisture conditions.
5:Data Analysis Methods:
Least Square Adjustment (LSA) for plane approximation, statistical analysis of differences between TIN surfaces and control points, and evaluation of standard deviations to assess accuracy.
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