A survey on ship intelligent cabin

Shuli Jia; Fuxin Wang; Mengchao Dong; Liyong Ma

doi:10.3233/FAIA200812

A survey on ship intelligent cabin

Shuli Jia
, Fuxin Wang^*
, Mengchao Dong
, Liyong Ma

^*Corresponding author for this work

Shanghai Marine Diesel Engine Research Institute
School of Information Science and Engineering, Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

At present, intelligent ship has become a new hot spot of international maritime research and development. In order to achieve the purpose of safety, reliability, energy conservation, environmental protection, economy and efficiency, Intelligent ship integrates modern information technology, artificial intelligence technology and other new technologies with traditional ship technology. In this essay, the rapid development of intelligent cabin technology in recent years is surveyed. The intelligent cabin technology and the development trend of the current technology is analyzed, and the possible development direction in the future is pointed out. Collection, transmission and storage of sensor data are summarized. The development of status perception of cabin equipment and environment is discussed. Data-driven intelligent applications are summarized, and the development in the future is discussed. Intelligent cabin system is a data driven information system, which involves data acquisition, communication, storage, analysis, visualization and other rich content. Using the data provided by intelligent ship, more and more intelligent applications will be developed for ships.

Original language	English
Title of host publication	Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020
Editors	Antonio J. Tallon-Ballesteros, Chi-Hua Chen
Publisher	IOS Press BV
Pages	453-458
Number of pages	6
ISBN (Electronic)	9781643681368
DOIs	https://doi.org/10.3233/FAIA200812
State	Published - 2 Dec 2020
Externally published	Yes
Event	2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 - Virtual, Online, Korea, Republic of Duration: 25 Oct 2020 → 28 Oct 2020

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	332
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020
Country/Territory	Korea, Republic of
City	Virtual, Online
Period	25/10/20 → 28/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Data-driven application
Intelligent ship
Ship cabin
Survey

Access to Document

10.3233/FAIA200812

Cite this

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title = "A survey on ship intelligent cabin",

abstract = "At present, intelligent ship has become a new hot spot of international maritime research and development. In order to achieve the purpose of safety, reliability, energy conservation, environmental protection, economy and efficiency, Intelligent ship integrates modern information technology, artificial intelligence technology and other new technologies with traditional ship technology. In this essay, the rapid development of intelligent cabin technology in recent years is surveyed. The intelligent cabin technology and the development trend of the current technology is analyzed, and the possible development direction in the future is pointed out. Collection, transmission and storage of sensor data are summarized. The development of status perception of cabin equipment and environment is discussed. Data-driven intelligent applications are summarized, and the development in the future is discussed. Intelligent cabin system is a data driven information system, which involves data acquisition, communication, storage, analysis, visualization and other rich content. Using the data provided by intelligent ship, more and more intelligent applications will be developed for ships.",

keywords = "Data-driven application, Intelligent ship, Ship cabin, Survey",

author = "Shuli Jia and Fuxin Wang and Mengchao Dong and Liyong Ma",

note = "Publisher Copyright: {\textcopyright} 2020 The authors and IOS Press.; 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 ; Conference date: 25-10-2020 Through 28-10-2020",

year = "2020",

month = dec,

day = "2",

doi = "10.3233/FAIA200812",

language = "英语",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press BV",

pages = "453--458",

editor = "Tallon-Ballesteros, \{Antonio J.\} and Chi-Hua Chen",

booktitle = "Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020",

address = "荷兰",

}

Jia, S, Wang, F, Dong, M & Ma, L 2020, A survey on ship intelligent cabin. in AJ Tallon-Ballesteros & C-H Chen (eds), Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020. Frontiers in Artificial Intelligence and Applications, vol. 332, IOS Press BV, pp. 453-458, 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020, Virtual, Online, Korea, Republic of, 25/10/20. https://doi.org/10.3233/FAIA200812

A survey on ship intelligent cabin. / Jia, Shuli; Wang, Fuxin; Dong, Mengchao et al.
Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020. ed. / Antonio J. Tallon-Ballesteros; Chi-Hua Chen. IOS Press BV, 2020. p. 453-458 (Frontiers in Artificial Intelligence and Applications; Vol. 332).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A survey on ship intelligent cabin

AU - Jia, Shuli

AU - Wang, Fuxin

AU - Dong, Mengchao

AU - Ma, Liyong

PY - 2020/12/2

Y1 - 2020/12/2

N2 - At present, intelligent ship has become a new hot spot of international maritime research and development. In order to achieve the purpose of safety, reliability, energy conservation, environmental protection, economy and efficiency, Intelligent ship integrates modern information technology, artificial intelligence technology and other new technologies with traditional ship technology. In this essay, the rapid development of intelligent cabin technology in recent years is surveyed. The intelligent cabin technology and the development trend of the current technology is analyzed, and the possible development direction in the future is pointed out. Collection, transmission and storage of sensor data are summarized. The development of status perception of cabin equipment and environment is discussed. Data-driven intelligent applications are summarized, and the development in the future is discussed. Intelligent cabin system is a data driven information system, which involves data acquisition, communication, storage, analysis, visualization and other rich content. Using the data provided by intelligent ship, more and more intelligent applications will be developed for ships.

AB - At present, intelligent ship has become a new hot spot of international maritime research and development. In order to achieve the purpose of safety, reliability, energy conservation, environmental protection, economy and efficiency, Intelligent ship integrates modern information technology, artificial intelligence technology and other new technologies with traditional ship technology. In this essay, the rapid development of intelligent cabin technology in recent years is surveyed. The intelligent cabin technology and the development trend of the current technology is analyzed, and the possible development direction in the future is pointed out. Collection, transmission and storage of sensor data are summarized. The development of status perception of cabin equipment and environment is discussed. Data-driven intelligent applications are summarized, and the development in the future is discussed. Intelligent cabin system is a data driven information system, which involves data acquisition, communication, storage, analysis, visualization and other rich content. Using the data provided by intelligent ship, more and more intelligent applications will be developed for ships.

KW - Data-driven application

KW - Intelligent ship

KW - Ship cabin

KW - Survey

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DO - 10.3233/FAIA200812

M3 - 会议稿件

AN - SCOPUS:85098636136

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BT - Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020

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A2 - Chen, Chi-Hua

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ER -

A survey on ship intelligent cabin

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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