Design and implementation of virtual fault diagnosis system for photoelectric tracking devices based on OpenGL

MingLiang Hou; Cunhua Li; Yong Zhang; Liyun Su

doi:10.1117/12.834086

30 October 2009 Design and implementation of virtual fault diagnosis system for photoelectric tracking devices based on OpenGL

MingLiang Hou, Cunhua Li, Yong Zhang, Liyun Su

Author Affiliations +

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74962S (2009) https://doi.org/10.1117/12.834086
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In view of the crucial deficiency of the traditional diagnosis approaches for photoelectric tracking devices and the output of more sufficient diagnosis information, in this paper, an virtual fault diagnosis system based on open graphic library(OpenGL) is proposed. Firstly, some interrelated key principles and technology of virtual reality, visualization and intelligent fault diagnosis technology are put forward. Then, the demand analysis and architecture of the system are elaborated. Next, details of interrelated essential implementation issues are also discussed, including the the 3D modeling of the related diagnosis equipments, key development process and design via OpenGL. Practical applications and experiments illuminate that the proposed approach is feasible and effective.

Citation Download Citation

MingLiang Hou, Cunhua Li, Yong Zhang, and Liyun Su "Design and implementation of virtual fault diagnosis system for photoelectric tracking devices based on OpenGL", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962S (30 October 2009); https://doi.org/10.1117/12.834086

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