Rail Flatness Measurement Based on Dual Laser Triangulation
-
1
Universidad de Oviedo
info
ISSN: 2576-702X
ISBN: 979-8-3503-2016-9
Year of publication: 2023
Type: Conference paper
Abstract
Surface metrology is crucial task in automated quality control. The measurement of surface features such as regular and irregular patterns, roughness, waviness, flatness and dimensions is of utmost importance to ensure products are being manufactured according to specifications. This work focuses on flatness measurement in rails, which is a quality parameter affected by roller deformations during rail production. This work proposes a flatness measurement system for rails based on a dual triangulation configuration. Innovative solutions are provided for the most challenging tasks including calibration, registration, calculation of the deviations of the surface from their intended shape, filtering and flatness characterization. Extensive tests on synthetic and real data indicate excellent performance in terms of measurement accuracy, robustness and reliability.
Funding information
This work has been partially funded by the project PID2021- 124383OB-I00 of the Spanish National Plan for Research, Development and Innovation.Funders
-
Spanish National Plan for Research, Development and Innovation
Spain
- PID2021- 124383OB-I00
Bibliographic References
- S. Ghorai, A. Mukherjee, M. Gangadaran, and P. K. Dutta, “Automatic defect detection on hot-rolled flat steel products,” IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 3, pp. 612–621, 2012.
- J. Li, K. Liang, H. Yang, D. Zhang, S. Jiang, X. Zou, F. Li, H. Min, J. Liu, and Z. Chu, “Research on the measurement of the largecomponents flatness based on gravitational straightedge method of adaptive two-end growth,” Optik, vol. 261, p. 169139, 2022.
- E. C. for Standardization, “Railway applications – track – rail – part 1: Vignole railway rails 46kg/m and above,” Standard EN-13674-1, Feb 2011.
- R. Usamentiaga, J. Molleda, D. F. Garcia, F. G. Bulnes, J. Entrialgo, and C. M. S. Alvarez, “Flatness measurement using two laser stripes to remove the effects of vibrations,” IEEE Transactions on Industry Applications, vol. 51, no. 5, pp. 4297–4304, 2015.
- R. Usamentiaga, D. F. Garcia, and F. J. de la Calle Herrero, “Realtime inspection of long steel products using 3-d sensors: Calibration and registration,” IEEE Transactions on Industry Applications, vol. 54, no. 3, pp. 2955–2963, 2018.
- R. Usamentiaga, J. Molleda, and D. F. Garc´ıa, “Fast and robust laser stripe extraction for 3d reconstruction in industrial environments,” Machine Vision and Applications, vol. 23, no. 1, pp. 179–196, 2012.
- P. Manso, D. Garcia, and R. Usamentiaga, “A Method to Extract rail Flatness Profile and Analysis of Different Noise Sources,” IEEE Transactions on Industry Applications, vol. 58, no. 5, pp. 6801–6813, 2022.
- S. M. M. Gazafrudi, D. Younesian, and M. Torabi, “A high accuracy and high speed imaging and measurement system for rail corrugation inspection,” IEEE Transactions on Industrial Electronics, vol. 68, no. 9, pp. 8894–8903, 2020.
- D. Wei, X. Wei, Y. Liu, L. Jia, and W. Zhang, “The identification and assessment of rail corrugation based on computer vision,” Applied Sciences, vol. 9, no. 18, p. 3913, 2019.
- L. Chen, Y. Li, X. Zhong, Q. Zheng, and H. Liu, “An automated system for position monitoring and correction of chord-based rail corrugation measuring points,” IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 1, pp. 250–260, 2018.
- Z. Zhang, “A flexible new technique for camera calibration,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 22, no. 11, pp. 1330–1334, 2000.
- C. Steger, “An unbiased detector of curvilinear structures,” IEEE Transactions on pattern analysis and machine intelligence, vol. 20, no. 2, pp. 113–125, 1998.
- J. Zhang, Y. Yao, and B. Deng, “Fast and robust iterative closest point,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
- B. Muralikrishnan and J. Raja, Computational surface and roundness metrology. Springer Science & Business Media, 2008.