Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)

Application of Virtual Training Software in Military Equipment Teaching

Authors
Yongxin Liu*, Likun Zhao, Xue Gao
Army aviation institute, Beijing, 101114
*Corresponding author. Email: 16890211@qq.com
Corresponding Author
Yongxin Liu
Available Online 11 July 2022.
DOI
10.2991/assehr.k.220704.074How to use a DOI?
Keywords
Virtual training; Equipment teaching; Military
Abstract

In this paper, we analyze the present situation of military equipment teaching in military colleges and universities, combine the characteristics and advantages of virtual simulation technology, and applies the development tools such as Unity 3D virtual reality engine, 3ds Max and Inventor modeling to explore and develop the virtual training software to make up the teaching contradiction caused by the lack of actual installation, and takes the training simulation software of a helicopter flight control system as an example to carry on the practice.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 July 2022
ISBN
10.2991/assehr.k.220704.074
ISSN
2352-5398
DOI
10.2991/assehr.k.220704.074How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Yongxin Liu
AU  - Likun Zhao
AU  - Xue Gao
PY  - 2022
DA  - 2022/07/11
TI  - Application of Virtual Training Software in Military Equipment Teaching
BT  - Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
PB  - Atlantis Press
SP  - 399
EP  - 402
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220704.074
DO  - 10.2991/assehr.k.220704.074
ID  - Liu2022
ER  -