Intelligent Identification and Locating System of Steel Coil Based on Laser Technology

Article Preview

Abstract:

In this paper, a solution based on laser technology is proposed for steel coil handling. The main emphasis is placed on the problem of steel coil identification and locating. In this paper, we first use laser data to construct three dimensional model of the worksite. And then we slice up the 3D model repeatedly to get the section images and make them to fusion. In order to wipe off the disturb of line, a line detection method based on probabilistic hough transform is proposed. Finally an improved least square method used in circle fitting is discussed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1308-1312

Citation:

Online since:

January 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] LI Jia, GAO Tian, WANG Meng-guang , TANG Li-xin. Re-deposit Destination Optimization for Finished Product Logistic Control in a Steel Work [ J ]; Journal of Northeastern University (Natural Science), 001, 22(5): 477-480.

Google Scholar

[2] LU Xing-chang, GONG Hui-li, ZHAO Wen-ji, ZHANG Ai-wu, LI Xiao-juan; 3D Visualization Modelling Based on Laser Scanning Data [ J ]; Journal of System Simulation, 2007, 19(7): 1624-1629.

Google Scholar

[3] BI Hua – xing, TAN Xiu – ying, LI Xiao- yin; Digital terrain analysis based on DEM [ J ]. Journal of Beij ing Forestry University, 2005, 27(2): 49 – 53.

Google Scholar

[4] FRIEDRICH A. Airborne laser scanning-present status and future expectations [ J ]. ISPRS J ournal o f Photogrammetry and Remote Sensing, 1999 , 54 (2-3) : 64-67.

DOI: 10.1016/s0924-2716(99)00009-x

Google Scholar

[5] Xu Duoding. The application of mathematical intervalue method in hydrogeology [ J ]. Journal of Changchun University of Earth Sciences, 1993, 23(4): 423-429.

Google Scholar

[6] Hu Kun, Lu Tiegui. A fast griding of near-point with distance weights and its fortran program [ J ]. Computing Techniques For Geophysical And Geochemical Exploration, 1992, 14(4): 341-345.

Google Scholar

[7] Gao Ji, Cui Ruofei, Xu C hongbao. Study on 3D Seismic Data Visualization for Coal Mines Based o n OpenGL[J]. Chinese Journal of Engineering Geophysics , 2008, 5(2): 157-163.

Google Scholar

[8] Craig M Shakarji. Least -squares fitting algorithms of the NIST algorithm testing system[ J ] . J ournal of Research of the National Institute of Standards and Technology, 1998, 103 (6 ) : 633-641.

DOI: 10.6028/jres.103.043

Google Scholar

[9] Gander W, Golub G H , Strebel R. Least -square fitting of circles and ellipses[R] . BIT, 1994, 43 : 558 - 578.

DOI: 10.1007/bf01934268

Google Scholar

[10] Chen Yanhai, Jiang Mulin, Chen Jianxun. Application of Probabilistic Hough Transform in Meter Detection[ J ]. Journal of Hubei Automotive Industries Institute, 2006, 20(4): 49-51.

Google Scholar

[11] Yan Bei , Wang Bin, Li Yun. Optmial ellipse fitting method based on leas t-square principle [J]. Journal of Bei jing University of Aeronautics and Astronautics, 2008, 34(3): 295-298.

Google Scholar