DATA ACQUISITION APPARATUS AND METHOD
    6.
    发明公开

    公开(公告)号:US20230406464A1

    公开(公告)日:2023-12-21

    申请号:US18202105

    申请日:2023-05-25

    IPC分类号: B63B79/20 B63B79/30 B63B79/10

    CPC分类号: B63B79/20 B63B79/30 B63B79/10

    摘要: A method of estimating an operational parameter of a subject vessel, including receiving at least one vessel data item of a set of vessel data from a subject vessel; associating the vessel data with a class; generating an estimated equivalent for at least one vessel data item using a machine learning model trained using a database of data from vessels of the class of the subject vessel; and providing the estimated equivalent to a user. The vessel data item may be acquired by a dedicated data acquisition unit on a marine vessel. The data acquisition unit may be part of a system for analysing marine data. In another aspect, a method of detecting an abnormality is provided, including receiving hydrophone data from a subject vessel; detecting an abnormality in the hydrophone data; associating the abnormality with an operational system of the subject vessel; and generating a maintenance alert identifying the operational system for further attention.

    METHOD, DEVICE, EQUIPMENT AND MEDIUM FOR DYNAMIC POSITIONING OF SEMI-SUBMERSIBLE OFFSHORE PLATFORM

    公开(公告)号:US20230297111A1

    公开(公告)日:2023-09-21

    申请号:US18313641

    申请日:2023-05-08

    发明人: Guoyan YU Qiheng ZHU

    摘要: Disclosed are a method, a device, equipment and a medium for dynamic positioning of a semi-submersible offshore platform. The method includes: acquiring a real-time position of the platform; if the real-time position is different from a preset position, detecting an external force torque by a first torque detector; calculating a first target thrust produced by each of propellers, controlling the propellers to produce forces according to a first target thrust torque, and detecting an actual thrust torque; obtaining a fault condition of each of the propellers if the actual thrust torque is different from the first target thrust torque, indicating that the propellers have faults; recalculating a thrust of each of the propellers, a second target thrust torque, according to the fault condition, the external force torque and the preset formula set; and controlling each of the propellers to generate the thrust according to a corresponding second target thrust torque.

    Method for forecasting demand load of hybrid electric ship by means of working condition

    公开(公告)号:US11945559B2

    公开(公告)日:2024-04-02

    申请号:US17366431

    申请日:2021-07-02

    IPC分类号: B63B79/20 G06N3/04

    CPC分类号: B63B79/20 G06N3/04

    摘要: The disclosed is a method for forecasting a demand load during navigation of a ship based on working condition classification. The method of the disclosure comprises: training historical data values by employing a least squares support vector machine to obtain a classification plane, classifying working conditions during the navigation into a fast-changing working condition and a stable working condition, and determining in real time a working condition type of the ship in an online stage. A method for forecasting a demand load by means of a Markov chain is employed for the stable working condition, and a method for forecasting a demand load by means of a radial basis function neural network optimized by a genetic algorithm is employed for the fast-changing working condition. A desirable forecasting effect can be achieved by selecting forecast models suitable for either type of working condition.

    SYSTEM AND METHOD FOR OPTIMIZING FUEL USAGE OF A MARINE VESSEL

    公开(公告)号:US20240043105A1

    公开(公告)日:2024-02-08

    申请号:US18453212

    申请日:2023-08-21

    IPC分类号: B63B79/40 G01C21/20 B63B79/20

    摘要: A marine vessel advisory system may be configured to calculate and provide operational information that show fuel consumption savings based on adjustment of vessel speed and/or heading. In an embodiment, the advisory system may operate real-time to collect operational and/or environmental conditions information to be used to calculate alternative operational performance of the marine vessel that will save fuel and reduce emissions. The calculations may include a simulation, machine learning, and/or artificial intelligence to determine a speed and/or heading of the marine vessel that will reduce fuel consumption. The advisory system may display the computed information for the operator, and the operator may elect to switch to the alternative operating parameters (e.g., slower speed). In an embodiment, the advisory system may interact directly with a marine vessel system and automatically cause the marine vessel system to adjust operating parameters based on computed operating parameters that saves fuel and reduces emissions.