KR102809829B1 - 부유식 원유생산플랫폼, 선박 및 다른 부유식 시스템을 위한 시뮬레이션 훈련의 심층 신경망 모델의 지속적 학습 - Google Patents

부유식 원유생산플랫폼, 선박 및 다른 부유식 시스템을 위한 시뮬레이션 훈련의 심층 신경망 모델의 지속적 학습 Download PDF

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KR102809829B1
KR102809829B1 KR1020207035174A KR20207035174A KR102809829B1 KR 102809829 B1 KR102809829 B1 KR 102809829B1 KR 1020207035174 A KR1020207035174 A KR 1020207035174A KR 20207035174 A KR20207035174 A KR 20207035174A KR 102809829 B1 KR102809829 B1 KR 102809829B1
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제임스 프란시스 오설리반
드조니 에카 시다르타
로 준 림
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테크닙 에너지스 프랑스
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B21/00—Tying-up; Shifting, towing, or pushing equipment; Anchoring
    • B63B21/50—Anchoring arrangements or methods for special vessels, e.g. for floating drilling platforms or dredgers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B71/00—Designing vessels; Predicting their performance
    • B63B71/10—Designing vessels; Predicting their performance using computer simulation, e.g. finite element method [FEM] or computational fluid dynamics [CFD]
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    • G06—COMPUTING OR CALCULATING; COUNTING
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    • G06N20/00—Machine learning
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    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks

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  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Ocean & Marine Engineering (AREA)
  • Fluid Mechanics (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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KR1020207035174A 2018-06-08 2019-06-06 부유식 원유생산플랫폼, 선박 및 다른 부유식 시스템을 위한 시뮬레이션 훈련의 심층 신경망 모델의 지속적 학습 Active KR102809829B1 (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/003,443 US11315015B2 (en) 2018-06-08 2018-06-08 Continuous learning of simulation trained deep neural network model
US16/003,443 2018-06-08
PCT/IB2019/000748 WO2019234505A1 (en) 2018-06-08 2019-06-06 Continuous learning of simulation trained deep neural network model for floating production platforms, vessels and other floating systems.

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KR20210019006A KR20210019006A (ko) 2021-02-19
KR102809829B1 true KR102809829B1 (ko) 2025-05-16

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US (1) US11315015B2 (https=)
EP (1) EP3802310B1 (https=)
JP (1) JP7129498B2 (https=)
KR (1) KR102809829B1 (https=)
CN (1) CN112424063B (https=)
BR (1) BR112020024951A2 (https=)
MY (1) MY204803A (https=)
WO (1) WO2019234505A1 (https=)

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US12275146B2 (en) * 2019-04-01 2025-04-15 Nvidia Corporation Simulation of tasks using neural networks
CN113711179A (zh) * 2019-04-09 2021-11-26 索尼集团公司 信息处理设备、信息处理方法和程序
JP2023512591A (ja) * 2020-02-07 2023-03-27 シングル・ブイ・ムアリングズ・インコーポレイテッド データ転送システムを備えた係留ブイ
WO2022000430A1 (zh) * 2020-07-02 2022-01-06 深圳市欢太科技有限公司 服务器威胁评定方法及相关产品
CN113541126B (zh) * 2021-06-17 2025-03-25 国网湖南综合能源服务有限公司 适用于验证高级算法的配电网仿真系统及算法验证方法
US11614075B2 (en) * 2021-08-09 2023-03-28 Technip Energies France Method of monitoring and advising for a group of offshore floating wind platforms

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US20120078436A1 (en) * 2010-09-27 2012-03-29 Patel Sureshchandra B Method of Artificial Nueral Network Loadflow computation for electrical power system
CN107545250A (zh) * 2017-08-31 2018-01-05 哈尔滨工程大学 一种基于海浪图像遥感和人工智能的海洋浮体运动实时预报系统

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CN1121607A (zh) * 1994-10-28 1996-05-01 中国船舶工业总公司第七研究院第七○二研究所 船舶动力定位的神经网络控制系统及其方法
US5920852A (en) 1996-04-30 1999-07-06 Grannet Corporation Large memory storage and retrieval (LAMSTAR) network
US6376831B1 (en) * 2000-02-24 2002-04-23 The United States Of America As Represented By The Secretary Of The Navy Neural network system for estimating conditions on submerged surfaces of seawater vessels
JP2003022134A (ja) 2001-07-06 2003-01-24 Mitsubishi Heavy Ind Ltd 浮体位置制御システム及び浮体位置制御シミュレータ
US20140063061A1 (en) * 2011-08-26 2014-03-06 Reincloud Corporation Determining a position of an item in a virtual augmented space
KR101518720B1 (ko) * 2015-02-15 2015-05-08 (주)부품디비 해양자원 생산장비의 예지보전을 위한 고장유형관리 장치 및 방법
US10372976B2 (en) * 2016-05-05 2019-08-06 Brunswick Corporation Person detection in a marine environment
US10521677B2 (en) * 2016-07-14 2019-12-31 Ford Global Technologies, Llc Virtual sensor-data-generation system and method supporting development of vision-based rain-detection algorithms
CA3069299C (en) * 2017-08-21 2023-03-14 Landmark Graphics Corporation Neural network models for real-time optimization of drilling parameters during drilling operations
US10800040B1 (en) * 2017-12-14 2020-10-13 Amazon Technologies, Inc. Simulation-real world feedback loop for learning robotic control policies

Patent Citations (2)

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Publication number Priority date Publication date Assignee Title
US20120078436A1 (en) * 2010-09-27 2012-03-29 Patel Sureshchandra B Method of Artificial Nueral Network Loadflow computation for electrical power system
CN107545250A (zh) * 2017-08-31 2018-01-05 哈尔滨工程大学 一种基于海浪图像遥感和人工智能的海洋浮体运动实时预报系统

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KR20210019006A (ko) 2021-02-19
JP2021527258A (ja) 2021-10-11
US20190378005A1 (en) 2019-12-12
MY204803A (en) 2024-09-14
WO2019234505A1 (en) 2019-12-12
EP3802310A1 (en) 2021-04-14
JP7129498B2 (ja) 2022-09-01
BR112020024951A2 (pt) 2021-03-09
EP3802310B1 (en) 2024-09-04
CN112424063A (zh) 2021-02-26
US11315015B2 (en) 2022-04-26
CN112424063B (zh) 2023-12-22

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