According to an aspect of the present invention, a computing device comprises: at least one memory; and at least one processor. the processor learns a deep learning model corresponding to each of a plurality of navigation modes for navigation of a ship by using pre-stored actual navigation data, selects one of the plurality of navigation modes according to the level of liquefied gas in the tank, and predicts the pressure of the tank from recommended navigation information by using the deep learning model corresponding to the selected navigation mode.

    일 측면에 따른 컴퓨팅 장치는, 적어도 하나의 메모리; 및 적어도 하나의 프로세서;를 포함하고, 상기 프로세서는, 기 저장된 실제 운항 데이터를 이용하여 상기 선박의 항해에 대한 복수의 항해 모드들 각각에 대응하는 딥러닝 모델을 학습하고, 상기 탱크 내에서의 액화가스의 수위에 따라 상기 복수의 항해 모드들 중 하나를 선택하며, 상기 선택된 항해 모드에 대응하는 딥러닝 모델을 이용하여 추천 항해 정보로부터 상기 탱크의 압력을 예측한다.


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    Titel :

    A method and an apparatus for predicting ship's LNG tank pressure.


    Weitere Titelangaben:

    선박의 탱크 압력을 예측하는 방법 및 장치


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

    Erscheinungsdatum :

    23.05.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Koreanisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B63B Schiffe oder sonstige Wasserfahrzeuge , SHIPS OR OTHER WATERBORNE VESSELS / F17C Behälter zum Aufnehmen oder Speichern verdichteter, verflüssigter oder verfestigter Gase , VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES



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