Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)

Research and Development of PSC Intelligent Training Platform Based on 3D Virtual Technology*

Authors
Shukui Zhang
Corresponding Author
Shukui Zhang
Available Online 7 January 2020.
DOI
10.2991/aebmr.k.191225.123How to use a DOI?
Keywords
PSC, intellectualization, function
Abstract

Port state control (PSC) inspection has played an important role in the navigation safety and Maritime environmental protection. In order to better train PSCO and improve its post skills, this paper proposes the application of virtual reality technology (VR) and artificial intelligence technology to realize fully the visible of ship equipment, then research on the ship’s main key area and main equipment inspection points to develop the visual operation of related equipment, at last develop a PSC intelligent training platform based on virtual reality technology (VR) for becoming a standard PSCO training course, so as to achieve the goal of upgrading PSCO post skills.

Copyright
© 2020, 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 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
7 January 2020
ISBN
10.2991/aebmr.k.191225.123
ISSN
2352-5428
DOI
10.2991/aebmr.k.191225.123How to use a DOI?
Copyright
© 2020, 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  - Shukui Zhang
PY  - 2020
DA  - 2020/01/07
TI  - Research and Development of PSC Intelligent Training Platform Based on 3D Virtual Technology*
BT  - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
PB  - Atlantis Press
SP  - 678
EP  - 680
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191225.123
DO  - 10.2991/aebmr.k.191225.123
ID  - Zhang2020
ER  -