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Proceedings Paper

Online image acquisition system for wheel set measurement based on asynchronous reset mode
Author(s): Kaihua Wu; Yu Guo; Yixin Chen
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Paper Abstract

The wearing degree of the wheel set is one of the main factors that influence the safety and stability of running train. Measurement of wheel set wear has significant importance to railway safety. An automatic measurement method for geometrical parameters of wheel set based on optoelectronic technique was proposed. In the method, linear structured laser light was projected on the wheel tread surface. The geometrical parameters can be deduced from the profile image. An online image acquisition system was designed based on asynchronous reset of CCD. The entire time sequence of asynchronous reset was designed. The image was acquired only when wheel moved into the designed position. Image acquisition was fulfilled by hardware interrupt mode. Quantitative relation between position accuracy and speed, timedelay error, CCD resolution and imaging region was deuced. Relation between moving blur and speed, exposure time was also decided. The measuring system was installed along the straight railway section. When the wheel set was running in a limited speed, the devices placed alone railway line can measure the geometrical parameters automatically. Position accuracy achieved 1.1mm when moving speed reached 2km/h and moving blur was limited in less than one pixel size while exposure time set to be 1/5550s. The image definition can meet the demand of real and online measurement.

Paper Details

Date Published: 30 November 2011
PDF: 6 pages
Proc. SPIE 8201, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 82011J (30 November 2011); doi: 10.1117/12.904905
Show Author Affiliations
Kaihua Wu, Hangzhou Dianzi Univ. (China)
Yu Guo, Hangzhou Dianzi Univ. (China)
Yixin Chen, Hangzhou Dianzi Univ. (China)

Published in SPIE Proceedings Vol. 8201:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems
Xinyong Dong; Xiaoyi Bao; Perry Ping Shum; Tiegen Liu, Editor(s)

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