The Design of a Total Ship Service Framework Based on a Ship Area Network

被引:0
|
作者
Moon, Daekeun [1 ]
Lee, Kwangil [2 ]
Kim, Hagbae [3 ]
机构
[1] Hyundai Heavy Ind Co Ltd, Ulsan 680749, South Korea
[2] Elect & Telecommun Res Inst, Taejon 305700, South Korea
[3] Yonsei Univ, Dept Elect & Elect Engn, Seoul 120749, South Korea
来源
关键词
ship navigation and automation systems; ship service framework; ship area network; satellite communications;
D O I
10.1587/transinf.E93.D.2858
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid growth of IT technology has enabled ship navigation and automation systems to gain better functionality and safety. However, they generally have their own proprietary structures and networks, which makes interfacing with and remote access to them difficult. In this paper, we propose a total ship service framework that includes a ship area network to integrate separate system networks with heterogeneity and dynamicity, and a ship-shore communication infrastructure to support a remote monitoring and maintenance service using satellite communications. Finally, we present some ship service systems to demonstrate the applicability of the proposed framework.
引用
收藏
页码:2858 / 2861
页数:4
相关论文
共 50 条
  • [41] Ship crashworthiness in risk based design
    Vredeveldt, A. W.
    MARINE TECHNOLOGY AND ENGINEERING, VOL 2, 2011, : 1045 - 1051
  • [42] Simulation-based ship design
    Bertram, V
    Thiart, GD
    Oceans 2005 - Europe, Vols 1 and 2, 2005, : 107 - 112
  • [43] SHIP DESIGN OF FIRST NUCLEAR SHIP IN JAPAN
    OI, H
    TANIGAKI, K
    NUCLEAR ENGINEERING AND DESIGN, 1969, 10 (02) : 211 - &
  • [44] Article of clarification: A one or two ship air ship hangar. Allowing for area design.
    Sonntag, R
    ZEITSCHRIFT DES VEREINES DEUTSCHER INGENIEURE, 1915, 59 : 762 - 771
  • [45] Artificial Intelligence Design for Ship Structures: A Variant Multiple-Input Neural Network-Based Ship Resistance Prediction
    Ao, Yu
    Li, Yunbo
    Gong, Jiaye
    Li, Shaofan
    JOURNAL OF MECHANICAL DESIGN, 2022, 144 (09)
  • [46] Quantitative risk assessment for ammonia ship-to-ship bunkering based on Bayesian network
    Fan, Hongjun
    Enshaei, Hossein
    Jayasinghe, Shantha Gamini
    Tan, Sock Hua
    Zhang, Chunchang
    PROCESS SAFETY PROGRESS, 2022, 41 (02) : 395 - 410
  • [47] A model for consequence evaluation of ship-ship collision based on Bayesian Belief Network
    Montewka, Jakub
    Goerlandt, Floris
    Ehlers, Soren
    Kujala, Pentti
    Erceg, Sandro
    Polic, Drazen
    Klanac, Alan
    Hinz, Tomasz
    Tabri, Kristjan
    SUSTAINABLE MARITIME TRANSPORTATION AND EXPLOITATION OF SEA RESOURCES, VOL 2, 2012, : 721 - 728
  • [48] A Heterogeneous Ship Formation Network Selection Algorithm Based on Service Level and Load Balance
    Yang, Xubin
    Zhang, Wenqiang
    Wu, Xinrong
    Zhu, Lei
    Zheng, Xiang
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, 2016, 386 : 13 - 23
  • [49] INTEGRATION OF SHIP CONTROL-SYSTEMS FOR TOTAL SHIP SURVIVABILITY
    FAMME, JB
    TAYLOR, B
    NAVAL ENGINEERS JOURNAL, 1992, 104 (03) : 210 - 218
  • [50] Distributed and redundant design of ship monitoring and control network
    Jun-dong Zhang
    Jiang-hua Sui
    Journal of Marine Science and Application, 2002, 1 (2) : 12 - 17