Design of Helicopter Avionics Maintenance Training System Based on Intelligent Teaching System
- DOI
- 10.2991/978-94-6463-024-4_12How to use a DOI?
- Keywords
- Intelligent Teaching System; Avionics Maintenance Training; AI Virtual Instructor; Helicopter
- Abstract
In view of the shortcomings of the traditional avionics maintenance training method for helicopters, the importance of designing a intelligence teaching system (ITS) for helicopter avionics maintenance training is proposed. The functional requirements of the ITS are analyzed, and the ITS for helicopter avionics maintenance training is designed and developed based on artificial intelligence technologies such as virtual human, intelligent voice, knowledge mapping, virtual reality and helicopter learning. The ITS solves the real problem of restricted helicopter avionics maintenance training equipment and sites, improves training efficiency and reduces training costs, and provides reference for the design of teaching system and construction of teaching environment in the context of current intelligent education.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xingguo Weng AU - Guojun Lai AU - Shicheng Wang AU - Bo Liu PY - 2022 DA - 2022/12/12 TI - Design of Helicopter Avionics Maintenance Training System Based on Intelligent Teaching System BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 97 EP - 105 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_12 DO - 10.2991/978-94-6463-024-4_12 ID - Weng2022 ER -