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15 November 2023 A method for detecting parallelism and flatness of truss tracks
Wei Fan, Haifeng Jing, Fang Jing
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Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128150Y (2023) https://doi.org/10.1117/12.3010416
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
As a large structure, the truss track will inevitably wear and deform during long-term operation, which can negatively impact construction safety and quality. Therefore, it is necessary to safely, quickly and accurately detect the parallelism and flatness of the truss track. This paper proposes a new method for detecting parallelism and flatness of truss track based on point cloud data of 3D laser scanner. A corresponding data post-processing system is developed based on the method proposed above. Finally, the proposed method and system have been successfully applied to an actual detecting project of truss track in a large-scale iron and steel enterprise. The results show that the new method proposed in this paper is effective and feasible.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Wei Fan, Haifeng Jing, and Fang Jing "A method for detecting parallelism and flatness of truss tracks", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128150Y (15 November 2023); https://doi.org/10.1117/12.3010416
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KEYWORDS
Point clouds
Laser soldering
Deformation
3D tracking
3D scanning
Laser scanners
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