Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)

<Previous Article In Volume
Next Article In Volume>

Study on Online Monitor System for Surface Quality of Rolling Rail Based on Machine Vision

Authors
Xingqiang Tan1, *, Benwen Zhang1
1Department of Engineering and Sciences, Sichuan Minzu University, Kangding, Sichun, China
*Corresponding author. Email: scunlgxy@163.com
Corresponding Author
Xingqiang Tan
Available Online 22 September 2023.
DOI
10.2991/978-94-6463-242-2_74How to use a DOI?
Keywords
Machine Vision; Hot Rolled Rail; Online Supervision; Quality Control
Abstract

In view of quality control process of the heavy rail on universal rolling line, based on method of machine vision, a system can be used to monitor surface defect of hot rolled heavy rail has been developed and it’s configurations of hardware and software are introduced in this paper. This system adopted gigabit Ethernet cable for data communication to ensure stability and reliability of the transmission system for super large data, and high speed linear CCD camera used to get effective reliable heavy rail surface image, and image resolution can reach 0.5 mm/pixel, defect size of hot rail larger than 5 mm can be collected and displayed. In the system, with the aid of intelligent discriminant algorithm to recognize the surface defects of heavy rail, it is successful to implement real-time monitoring for surface quality and to reduce leave out and mistake rate of the hot rolled heavy rail.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
22 September 2023
ISBN
10.2991/978-94-6463-242-2_74
ISSN
2589-4900
DOI
10.2991/978-94-6463-242-2_74How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xingqiang Tan
AU  - Benwen Zhang
PY  - 2023
DA  - 2023/09/22
TI  - Study on Online Monitor System for Surface Quality of Rolling Rail Based on Machine Vision
BT  - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
PB  - Atlantis Press
SP  - 604
EP  - 610
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-242-2_74
DO  - 10.2991/978-94-6463-242-2_74
ID  - Tan2023
ER  -