84. Research on condition monitoring system of high speed railway catenary based on image processing
Deqiang He1, Heliang Wang2, Jian Miao3
1, 2, 3College of Mechanical Engineering, Guangxi University, 530004 Nanning, China
3College of Physics and Mechanical and Electrical Engineering, Hechi University, 546300 Hechi, China
E-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org
(Received 9 November 2015; received in revised form 2 March 2016; accepted 13 March 2016)
Abstract. A contactless detection method based on the image processing algorithm is proposed to detect the geometric parameters of catenary. Aiming at the other obstacles in the image, the image edge is detected and enhanced by Canny algorithm, then the catenary image is extracted gradually through target tracking, image segmentation and breakpoint continuation. The corresponding relationship between the coordinates of contact line feature point and the 3D space coordinates measured by the binocular triangulation method is established to get the conductor height and the stagger value. According to the relevant theory, a catenary condition monitoring system is designed, which realizes the working state monitoring and the dynamic measurement of geometrical parameters for catenary.
Keywords: Canny algorithm, catenary, binocular triangulation, condition monitoring.
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Cite this article
He Deqiang, Wang Heliang, Miao Jian Research on condition monitoring system of high speed railway catenary based on image processing. Journal of Measurements in Engineering, Vol. 4, Issue 1, 2016, p. 23‑31.
Journal of Measurements in Engineering. March 2016, Volume 4, Issue 1
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