본 발명은, 인공지능 기반으로 액화가스 소모량을 최소화할 수 있는 액화가스 운반선용 제어 시스템을 제공하기 위한 것으로, 본 발명의 일 실시예에 따른 액화가스 운반선용 제어 시스템은 액화가스 운반선의 운항 데이터에 기반하여 학습된 인공지능 모델을 이용하여 부생 가스 발생량을 예측하는 예측부 및 상기 예측부의 예측 결과에 따라 복수의 운전 방식을 도출하고, 상기 복수의 운전 방식 중 상기 액화가스 운반선의 액화가스 소모량이 최소인 운전 방식을 선택하는 최적화부를 포함하고, 상기 인공지능 모델은 사전에 설정된 부생 가스 계산 수치 모델에서 상기 운항 데이터의 선박 이동 속도에 기반하여 도출된 부생 가스 발생량을 예측 목표로 지도 학습할 수 있다.

    Provided is a control system for a liquefied natural gas (LNG) ship, which can minimize LNG consumption based on artificial intelligence. The control system for a liquefied natural gas (LNG) ship according to one embodiment of the present invention comprises: a sailing route setting unit which selects an expected sea route of the LNG ship; a weather forecast database which provides a stored weather forecast according to the expected sea route selected by the sailing route setting unit; a prediction unit which predicts a byproduct gas generation amount and an LNG tank condition by using an artificial intelligence model learned based on sailing data of the LNG ship; and an optimization unit which derives a plurality of driving methods according to a prediction result of the prediction unit and selects a driving method consuming the minimum amount of LNG of the LNG ship from among the plurality of driving methods.


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    Title :

    CONTROL SYSTEM FOR LIQUEFIED NATURAL GAS SHIP


    Additional title:

    액화천연가스 운반선용 제어 시스템


    Contributors:
    LEE SUNG WON (author) / KO YOON AE (author) / KIM SUNG HOON (author) / CHOI NAK CHUL (author) / RYU GWANG NYEON (author) / LEE YU JIN (author)

    Publication date :

    2025-03-31


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    B63B Schiffe oder sonstige Wasserfahrzeuge , SHIPS OR OTHER WATERBORNE VESSELS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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