Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

Message Transfer in Virtual Reality Simulation of Fire Control

Authors
Bin Shen, Yuan Liu, Guoji Cai
Corresponding Author
Bin Shen
Available Online August 2018.
DOI
10.2991/caai-18.2018.3How to use a DOI?
Keywords
simulation; VIRTOOLS; virtual reality; control
Abstract

A type of equipment fire control system is the core component of the equipment. Real training is often limited by equipment cost, training site, training weather, personnel quality and so on. This requires pre virtual training before the actual operation. In this control system, how to realize the various functions of the system is the core issue of the project. Virtools has the characteristics of strong interaction, good portability and low operating environment requirements. Combining with the practice of training, this paper presents the development of equipment control simulation system based on Virtools, and starts from the design of the Virtools software, and introduces the transmission of the control part of the message.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
August 2018
ISBN
978-94-6252-595-5
ISSN
2589-4919
DOI
10.2991/caai-18.2018.3How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bin Shen
AU  - Yuan Liu
AU  - Guoji Cai
PY  - 2018/08
DA  - 2018/08
TI  - Message Transfer in Virtual Reality Simulation of Fire Control
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 9
EP  - 11
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.3
DO  - 10.2991/caai-18.2018.3
ID  - Shen2018/08
ER  -