Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)

Research on System of Marine Situation Information Analysis and Early Warning based on Artifical Intelligence

Authors
Ziye Long, Peng Wang, Zhiwen Lin, Jing Zhu
Corresponding Author
Ziye Long
Available Online May 2018.
DOI
10.2991/icmse-18.2018.71How to use a DOI?
Keywords
Artificial Intelligence, Situation Intelligence Analysis, Internet of Things;
Abstract

With the rapid development of artificial intelligence and the development of intelligent hardware and equipment, the data has gradually changed from a single text mode to a diversified data. Diversified data is not only large in size but also diverse in scope, so it is not easy to conduct statistical analysis. With the development of artificial intelligence and the Internet of Things, these challenges will be solved. To address these issues, carry out studies on the system of maritime situational intelligence analysis and early warning. The design of marine situation intelligence analysis and early warning system based on artificial intelligence is proposed and the key technologies are analyzed. The application of artificial intelligence technology in maritime situational intelligence analysis and early warning not only can improve the efficiency of civil actions such as rescue at sea, disaster relief, but also can greatly enhance maritime military competitiveness and ensure the safety of maritime areas.

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 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/icmse-18.2018.71
ISSN
2352-5401
DOI
10.2991/icmse-18.2018.71How 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  - Ziye Long
AU  - Peng Wang
AU  - Zhiwen Lin
AU  - Jing Zhu
PY  - 2018/05
DA  - 2018/05
TI  - Research on System of Marine Situation Information Analysis and Early Warning based on Artifical Intelligence
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 362
EP  - 368
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.71
DO  - 10.2991/icmse-18.2018.71
ID  - Long2018/05
ER  -