WO2015107805A1 - 分類装置および分類方法 - Google Patents

分類装置および分類方法 Download PDF

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Publication number
WO2015107805A1
WO2015107805A1 PCT/JP2014/082681 JP2014082681W WO2015107805A1 WO 2015107805 A1 WO2015107805 A1 WO 2015107805A1 JP 2014082681 W JP2014082681 W JP 2014082681W WO 2015107805 A1 WO2015107805 A1 WO 2015107805A1
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WO
WIPO (PCT)
Prior art keywords
data
series data
time
time series
ship
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Ceased
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PCT/JP2014/082681
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English (en)
French (fr)
Japanese (ja)
Inventor
燦紅 連
岩田 泰明
俊子 松本
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Hitachi Solutions Ltd
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Hitachi Solutions Ltd
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Publication date
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Publication of WO2015107805A1 publication Critical patent/WO2015107805A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B63SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63BSHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B49/00Arrangements of nautical instruments or navigational aids
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G3/00Traffic control systems for marine craft

Definitions

  • a ship movement prediction technique for example, the following JP-A-2009-286230
  • JP-A-2009-286230 that provides an estimated arrival time of a ship destination in real time using AIS data, or a ship service data and predicted weather data
  • AIS data AIS data
  • ship service data and predicted weather data are used.
  • JP 2009-025860 A there is a technique for calculating an optimum route
  • the central processing unit 305 is, for example, a general-purpose processor.
  • the central processing unit 305 functions as an operation data extraction processing unit 308 and an operation data display processing unit 309 by reading the program of this embodiment. That is, the operation data extraction processing unit 308 and the operation data display processing unit 309, specifically, realize their functions by the central processing unit 305 executing a program stored in the program memory 306, for example.
  • the ship number 400 holds a value uniquely assigned to the AIS data 316.
  • the IMO number 401 holds, as a value, an identification number of a ship assigned to a large ship by the International Maritime Organization.
  • the ship name 402 holds the name of the ship registered in the IMO as a value.
  • the ship type 403 holds the ship type name registered in the IMO.
  • the maximum speed 404 holds the maximum speed that can be operated by the ship's engine.
  • the time when the last operation time series data 808 is received in the operation data 318 is held as a value.
  • a time difference between the reception time 803 of the start point and the reception time 804 of the end point in the operation data 318 is held as a value.
  • the route number 806 holds route identification information in the operation data 318.
  • the operation type 807 holds information for determining the operation type of the operation data 318 as a value.
  • the operation time series data 808 holds information such as the position and speed of the ship for each time.
  • the values t1 ′, t2 ′,... Of the operation time series data 808 (hereinafter collectively referred to as operation time series data t ′) correspond to the time series data t in which “0” is held in the deletion flag 506. .
  • the classification device 3 writes the operation data 318 on the data memory 307 in the operation data DB 602 (step S1006). Then, the classification device 3 determines whether all the AIS data 316 on the data memory 307 have been processed (step S1007). If there is unprocessed AIS data 316 (step S1007: No), the process returns to step S1002, and the AIS data 316 for one unacquired ship is acquired from the data memory 307 (step S1002). On the other hand, when all the AIS data 316 are processed (step S1007: Yes), data is displayed using the operation data display processing unit 309 (step S1008). An example of display contents and display processing of the operation data display processing unit 309 (step S1008) will be described later in detail with reference to FIGS.
  • time series data t during berthing is, for example, time series data t where the speed 504 is equal to or less than the speed threshold during berthing.
  • the time series data t of the speed exceeding the upper limit of use is, for example, time series data t in which the speed 504 is larger than the maximum speed 404 of the ship.
  • the time series data t of deceleration for berthing or acceleration for voyage is, for example, the amount of change in speed within the deceleration time required for berthing from voyage or voyage from berth. Time series data t exceeding the speed change upper threshold.
  • the classification device 3 acquires the i-th time-series data a from the AIS data 316 (step S1201), and adds the time-series data a to the operation time-series data 808 in the operation data x (step S1202).
  • the index i is a positive integer starting from 1.
  • the index i is incremented when the next step S1100 is performed.
  • the classification device 3 acquires one unprocessed operation data x from the operation data 318 in a ship of one shipping company (step S1800).
  • the classification device 3 normalizes the operation time series data 808 in the operation data x for each cell, with a certain spatial range overlapping with the operation data x as one cell (step S1801).
  • An example of normalizing AIS data for each cell will be described later in detail with reference to FIG.

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Ocean & Marine Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Navigation (AREA)
  • Traffic Control Systems (AREA)
PCT/JP2014/082681 2014-01-16 2014-12-10 分類装置および分類方法 Ceased WO2015107805A1 (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2014005757A JP6276597B2 (ja) 2014-01-16 2014-01-16 分類装置および分類方法
JP2014-005757 2014-01-16

Publications (1)

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WO2015107805A1 true WO2015107805A1 (ja) 2015-07-23

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WO (1) WO2015107805A1 (enExample)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019004445A1 (ja) * 2017-06-30 2019-01-03 川崎重工業株式会社 最適運航計画演算装置および最適運航計画演算方法
CN111311965A (zh) * 2020-03-06 2020-06-19 深圳市闻迅数码科技有限公司 一种连续航行监控方法、装置、设备及存储介质
US20220146266A1 (en) * 2019-03-20 2022-05-12 Seavantage Ltd. Course guidance method for efficient sailing of ship

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6623724B2 (ja) * 2015-11-30 2019-12-25 株式会社Ihi 停泊隻数予測システム、停泊隻数予測方法、及び、停泊隻数予測プログラム
JP7042469B2 (ja) * 2016-10-28 2022-03-28 国立研究開発法人 海上・港湾・航空技術研究所 船舶の衝突リスク低減方法、船舶の衝突リスク低減システム、及び計画航路情報提供センター
KR102657768B1 (ko) * 2016-12-29 2024-04-16 한화오션 주식회사 선박 상태 추정 장치 및 방법
KR101863746B1 (ko) * 2017-03-27 2018-07-04 한국해양과학기술원 운항선의 표준 운항 상태 선속-동력 해석 시스템
JP7142838B2 (ja) * 2018-03-30 2022-09-28 国立研究開発法人 海上・港湾・航空技術研究所 海運市況予測運用システム
JP7072218B2 (ja) * 2018-03-30 2022-05-20 国立研究開発法人 海上・港湾・航空技術研究所 海運市況予測システム、海運市況予測プログラム及び海運市況予測方法
KR101951142B1 (ko) * 2018-04-13 2019-02-21 한국해양과학기술원 기계학습을 이용한 선박의 손실 항적 데이터 추정 시스템
WO2020075274A1 (ja) * 2018-10-11 2020-04-16 日本電気株式会社 船舶行動学習方法、船舶行動学習装置、航海状態推定方法および航海状態推定装置
JP7411843B1 (ja) 2023-06-01 2024-01-11 三菱倉庫株式会社 輸送経路提案システム、輸送経路提案プログラムおよび輸送経路提案方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007296929A (ja) * 2006-04-28 2007-11-15 Mitsubishi Heavy Ind Ltd 船舶の性能評価システムおよび航海情報ファイル作成方法ならびにプログラム
JP2012153342A (ja) * 2011-01-28 2012-08-16 Mitsubishi Heavy Ind Ltd 船舶の電力制御方法及び船舶電力制御システム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007296929A (ja) * 2006-04-28 2007-11-15 Mitsubishi Heavy Ind Ltd 船舶の性能評価システムおよび航海情報ファイル作成方法ならびにプログラム
JP2012153342A (ja) * 2011-01-28 2012-08-16 Mitsubishi Heavy Ind Ltd 船舶の電力制御方法及び船舶電力制御システム

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
AARSAETHER KARL GUNNER: "Estimating Navigation Patterns from AIS", JOURNAL OF NAVIGATION, vol. 62, no. 4, October 2009 (2009-10-01), pages 587 - 607 *
SHIGEKI TORIUMI: "Kaijo Koro Network o Mochiita Container Sen no Unko Pattern Bunseki", JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF JAPAN, vol. 55, no. 6, 1 June 2010 (2010-06-01), pages 359 - 367 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019004445A1 (ja) * 2017-06-30 2019-01-03 川崎重工業株式会社 最適運航計画演算装置および最適運航計画演算方法
JP2019012044A (ja) * 2017-06-30 2019-01-24 川崎重工業株式会社 最適運航計画演算装置および最適運航計画演算方法
US20220146266A1 (en) * 2019-03-20 2022-05-12 Seavantage Ltd. Course guidance method for efficient sailing of ship
US11719543B2 (en) * 2019-03-20 2023-08-08 Seavantage Ltd. Course guidance method for efficient sailing of ship
CN111311965A (zh) * 2020-03-06 2020-06-19 深圳市闻迅数码科技有限公司 一种连续航行监控方法、装置、设备及存储介质

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