Development of Hardware and Software for the System of Remote Control of Geometrical Parameters of Railcar Wheelsets
DOI:
https://doi.org/10.15407/scin13.02.036Keywords:
geometric parameters, laser triangulation sensor, railcars, remote inspection, sensor units, wheelsetsAbstract
A hardware-software complex for the system of remote control of geometrical parameters of railcar wheelsets has been developed. The system is designed for non-contact scanning of wheel working surface profiles and automatic evaluation of wheelset technical condition during the train movement. The application of results to the railways carriage facilities will significantly improve the qualitative and quantitative control of wear parameters and will raise traffic safety due to timely detection of wheelset dangerous defects.
References
Buryak S.Yu. Diagnostirovaniye sostoyaniya poverkhnosti kataniya kolesa podvizhnogo sostava zheleznykh dorog. Nauka ta progres transportu. Visnik Dnipropetrovskogo natsionalnogo universitetu zaliznichnogo transportu imeni akademika V. Lazaryana (Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport). 2013. 1: 22-29 [in Russian].
Instrukciya z oglyadu, obstezhennya, remontu ta formuvannya vagonnih kolisnih par CV-CL-0062. zatv. «Ukrzaliznicya» 01.04.05. Kyiv: TOV «NVP Poligrafservis», 2006 [in Ukrainian].
WheelView (S/F/D/I). Accurate, Rugged, Reliable, Automatic Wheel Profile Measurement System.
Available at: http://www.beenavision.com/products_wheelview.html#
Artificial Vision Wheelset Parameter Equipment (EVA).
Available at: http://web.talgoamerica.com/eva-system
Demkin V.N., Stepanov V.A. Lazernye metody i sredstva kontrolya geometricheskih razmerov izdelij. Izmeritel’naya tekhnika (Measurement Techniques). 2008. 2: 32–35 [in Russian].
Furman Ya.A. Kreveckij A.V. Peredreev A.K. Rozhentsov A.A. Khafizov R.G. Egoshina I.L. Leukhin A.N. Vvedenie v konturnyj analiz; prilozheniya k obrabotke izobrazhenij i signalov. Moscow: FIZMAT LIT, 2003 [in Russian].
Kiselevskij F.N., Kolyada V.A. Kalibrovka triangulyacionnyh opticheskih sensorov. Avtomat. svarka (The Paton Welding Journal). 2005. 5: 57-59 [in Russian].
Zhang Z. A Flexible New Technique for Camera Calibration. IEEE Trans. Pattern Analysis and Machine Intelligence. 2000. 11(22): 1330-1335.
https://doi.org/10.1109/34.888718
Duda R.O., Hart E.H. Use of the Hough transformation to detect lines and curves in pictures. Comm. ACM, 1972. 15(1): 11-15.