Three-Dimensional Reconstruction Method of Rail Corrugation Based on the Vision Detection

Abstract

In order to realize the visual identification of the three-dimensional geometric characteristics of rail corrugation, the three-dimensional reconstruction method of rail corrugation based on vision detection is developed in the present paper. The acquisition equipment is designed to acquire the images of rail corrugation and corresponding depth information. Then, the image preprocessing method is proposed to achieve the automatic segmentation of rail corrugation images. The fitting equation between the image and depth of rail corrugation is obtained, which allows the three-dimensional reconstruction of rail corrugation. Furthermore, based on the finite element model of the wheel-rail system and the wear calculation model, the practicality and effectiveness of the three-dimensional reconstruction method are verified. Results show that the depth-grayscale correlation equation is well fitted with the coefficient of determination of 0.94 and the root mean square error of 0.02. The three-dimensional reconstruction method has an error of 2.63% at the maximum wear depth. When the three-dimensional reconstruction method is applied to the wear prediction of rail corrugation, the wear prediction of rail corrugation with the three-dimensional reconstruction is approximately the same as the actual wear distribution, which has an error of 5.02% at the maximum wear depth. The aforementioned results demonstrate the effectiveness of the three-dimensional reconstruction method of rail corrugation based on the vision detection.

Keywords:

• Rail corrugation
• three-dimensional reconstruction
• vision detection
• transient dynamic analysis
• 3D reconstruction of rail corrugation

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors are thankful for the financial support from the National Natural Science Foundation of China (Grant No: 52275176), the Chongqing Municipal Education Commission Science and Technology Research Project (KJZD-K202100703), the State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure (HJGZ2021115), Chongqing Innovation Support Plan for Returning Overseas (cx2020108), Chongqing Technology Innovation and Application Development Special Key Project (CSTB2022TIAD-KPX0205).