A Study on Real-time onboard Navigation Assistant Systems Using Measured Ship Motion Data
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- Nihei Yasunori
- 大阪府立大学大学院
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- Fukunaga Keita
- 日本郵船株式会社(研究当時大阪府立大学大学院)
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- Ikeda Yoshiho
- 大阪府立大学大学院
Bibliographic Information
- Other Title
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- 船体運動データを用いた船上運航支援システムに関する基礎的研究
- センタイ ウンドウ データ オ モチイタ センジョウ ウンコウ シエン システム ニ カンスル キソテキ ケンキュウ
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Abstract
In the design of a ship, the sailing performances of the ship in waves are carefully surveyed for wide points of views, for example stability, seakeeping and so on. The results of the surveys are given to the ship as a stability booklet and other detailed documents. Navigator, however, usually operate their ships in rough seas on the basis of own skill obtained in long experience. In the real navigating situation in very severe rough seas, it is sometimes difficult for navigators to use such detailed materials mentioned above for safety navigation. Therefore, it is important and helpful to develop some tools to monitor the ship motions and seas on board automatically and to report dangerous situation to navigator.As the first stage of developing such a onboard navigating assistant system for supporting decision making of navigators, the authors proposed a simple and practical method to identify height, frequency and direction of encounter waves. This method is based on the comparison between response function database and measured ship motions. To confirm the accuracy of this method, experiments using a ferry model in tank and a real passenger/vehicle ferry operated in a Japanese domestic route are carried out in the present paper. Both of them showed a good agreement in accuracy between the obtained wave characteristics by the system and the observed ones.
Journal
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- Journal of the Japan Society of Naval Architects and Ocean Engineers
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Journal of the Japan Society of Naval Architects and Ocean Engineers 11 137-146, 2010
The Japan Society of Naval Architects and Ocean Engineers
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Details 詳細情報について
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- CRID
- 1390001205256024704
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- NII Article ID
- 10026570273
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- NII Book ID
- AA12057769
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- ISSN
- 18811760
- 18803717
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- NDL BIB ID
- 10789022
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed