DocumentCode :
1657533
Title :
A Design of Vision-based Location Control System for Steel Rolling Mill
Author :
Wei, Chen ; Kangling, Fang ; Xinhai, Liu
Author_Institution :
Wuhan Univ. of Sci. & Technol., Wuhan
fYear :
2007
Firstpage :
452
Lastpage :
455
Abstract :
This paper describes a closed loop control system based on machine vision in the position control of the hot billet of steel. It is based on an industrial camera as a visual sensor that provides the position information of the steel billets in the heating kiln, and is used to detect the moving billets. To meet the requirement of a robust, real-time detection of moving billet, this paper uses the simply background subtraction model to detect the moving billets. The difference gray profile project is applied to detect the edge of the billet, and the effect is well. In the practical application, the video control system has obtained good control performance under the industrial environment.
Keywords :
closed loop systems; control system synthesis; edge detection; image colour analysis; kilns; position control; production engineering computing; rolling mills; steel industry; background subtraction model; closed loop control system; edge detection; gray profile project; heating kiln; industrial camera; machine vision; moving billets detection; position control; steel billet; steel rolling mill; video control system; vision-based location control system design; visual sensor; Billets; Cameras; Cement industry; Control systems; Electrical equipment industry; Machine vision; Metals industry; Milling machines; Position control; Steel; Background Subtraction; Feedback Control; Machine Vision; Object Location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4347603
Filename :
4347603
Link To Document :
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