Remote Repair System Based on VIRTOOLS

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Abstract:

With the increasingly complex new equipment, its maintenance repair training to become a big problem in the process of using the equipment. The traditional training mode by the equipment repair most limit, long development cycle, the characteristics of large investment, based on analysis of virtual repair training system development and function of demand, establish the remote repair system based on VIRTOOLS . The system can create realistic simulation results on the computer, the computer simulation of realistic behavior. The combination of network technology and virtual reality technology organically will provide a technical platform for remote repair service. This paper studies and discusses the architecture of remote repair system based on VIRTOOLS, the key technology and implementation method. And the system structure of remote fault diagnosis system is analyzed.

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Periodical:

Advanced Materials Research (Volumes 791-793)

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1028-1031

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Li C, Wang P, Chen H H, Mohsen G. A cluster based on demand multi-channel MAC protocol for wireless multimedia sensor networks[A]. Proceedings of the IEEE International Conference on Communications[C]. 2008; 2371-2376.

DOI: 10.1109/icc.2008.451

Google Scholar

[2] Yaghmaee M H, Adjeroh D. A model for differentiated service support in wireless multimedia sensor networks[A]. Proceedings of 1 7"Intemational Conferenee 011 Computer Communications and Networks[C]. 2008; 1-6.

DOI: 10.1109/icccn.2008.ecp.164

Google Scholar

[3] Saxena N, Roy A Jitae S. A QoS-based energy-aware MAC protocol for wireless multimedia sensor networks[A]. Proceedings of the IEEE Conference on Vehicular Technology[C]. 2008; 183-187.

DOI: 10.1109/vetecs.2008.50

Google Scholar

[4] Ke Z W, Li L Y, Sun Q, Chen N S. Ant-like game routing algorithm for wireless multimedia sensor networks[A]. Proceedings of the 4th International Conference on Wireless Communications, Networking and Mobile Computing[C]. 2008; 1-4.

DOI: 10.1109/wicom.2008.843

Google Scholar

[5] Wang W, Peng D M, Wang H G, Sharif H, Chen H H. Energy-constrained distortion reduction optimization for wavelet. based coded image transmission in wireless sensor networks[J]. IEEE Transactiom on Multimedia, 2008, 10(6); 1169-1180.

DOI: 10.1109/tmm.2008.2001354

Google Scholar

[6] Raman M A, Ghasem A ghaei R, El Saddik A, Gueaieb W. M-IAR biologically inspired routing protocol for wireless multimedia sensor networks[A]. Proceedings of the IEEE Conference on Instrumentation and Measurement Technology[C]. 2008; 1823-1827.

DOI: 10.1109/imtc.2008.4547341

Google Scholar

[7] Skoutas D N, Rouskas A N. A scheduling algorithm with dynamic priority assignment for WCDMA syStems[J]. IEEE Transactions Oil Mobile Computing, 2009, 8(1); 126-138.

DOI: 10.1109/tmc.2008.106

Google Scholar

[8] Quazi T, Xu H J, Takawira F. Quality of service for multimedia traffic using cross-layer design[J]. IET Communications, 2009, 3(1); 83-90.

DOI: 10.1049/iet-com:20070285

Google Scholar

[9] Fu Fangwen and Mihaela van der Schaar. A new theoretic framework for cross-layer optimization[A]. Proceedings of the l5th IEEE International Conference on Image Processing[C]. 2008; 3080-3083.

DOI: 10.1109/icip.2008.4712446

Google Scholar