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 선택하고, 상기 예측부의 예측 결과에 따라 예상 가스 소모량을 도출하는 최적화부를 포함할 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 :

    2025-03-28


    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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