The Rail Profile Shape Dynamic Acquisition System Based on LabVIEW

Article Preview

Abstract:

In order to solve the problem of the artificial detection method of rail abrasion ,which is low efficiency, low precision, not easy to store and so on, design and development of rail profile dynamic acquisition system based on LabVIEW, introduced the hardware and software design method. The system take the laser line on the rail surface as the detection object, which is not easily affected by external factors and high measuring accuracy; testing personnel can continuous push the inspection car to check on the track surface, which is high efficiency. The system can realize side abrasion and vertical abrasion of the rail, and calculate the total abrasion. It also can achieve the function of abrasion limit alarm and complete the data storage. It has the vital significance to improve the present situation of the work department, and guarantee the safety of railway system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

956-960

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Qiang Yang, Jian-hui Lin, Jian-ming Ding, Han-biao Nong. Based on two-dimensional laser displacement sensor rail abrasion dynamic detection system and genetic algorithm. Chinese Railways, 2012(06):85-88. (in Chinese).

Google Scholar

[2] Xi-wei Wang, Zhi Li. Continuous Sound Signal Acquisition System with Real-time Control Based on Producer/ Consumer Design Pattern. Modern Electronics Technique , 2009(07):129-132. (in Chinese).

Google Scholar

[3] Yan-yao Lei, Zhi-LI. Design of data acquisition system based on producer/consumer[J]. Machinery, 2011,38(09):39-43. (in Chinese).

Google Scholar

[4] Po Sun, Yu-Ming Zhang. Study on the Non-uniform Lateral Abrasion of Tracks on Straight Railway Lines[J]. Railway Standard Design, 2011(09):36-38. (in Chinese).

Google Scholar

[5] Jia Meng, Xiao-rong Gao. Present situation and development of rail wear detection technology [J]. Railway Quality Control, 2005 (01):34-36. (in Chinese).

Google Scholar

[6] Hao Wang. Image processing technology of high-speed track detection [J]. Railway Technical Innovation , 2012(01): 35-37. (in Chinese).

Google Scholar

[7] Jun-feng Wang, Wen-ai Song. Design of Rail Wear Detection System Based on LabVIEW[J]. Microcomputer Information , 2007, 23(08):156-158. (in Chinese).

Google Scholar

[8] Yuan Ren, You-peng Zhang, Hong-zhang Shi, Ming-xing Tian. Design of ultrasonic guided wave detection system of broken rail based on LabVIEW [J], Railway Operation Technology, 2010, 16(02): 16-19. (in Chinese).

Google Scholar

[9] Li-jing Huang, Yu-hao Wang. The calibration method of image measurement technology based on LabVIEW [J]. Information Technology, 2012(22):204-205. (in Chinese).

Google Scholar