The strategy of ecological priority and green development made the fuel consumption of inland ships have received unprecedented attention. Fuel consumption prediction of inland ships can provide decision support for navigation planning and energy supervision. This paper takes the ships sailing on the Yangtze River trunk line as the research object, first of all, the navigation data is collected by the multi-source sensor. And then, consider the comprehensive influence of status monitoring data and environmental factors, the improved artificial neural network (ANN) is tailored to build the fuel consumption prediction model based on real-time monitoring data and environmental data. Finally, the constructed prediction model is analyzed and verified by a large amount of measurement data, and its performance of fuel consumption prediction is proved by comparing it with the traditional regression models.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Prediction Model of Inland Ship Fuel Consumption Considering Influence of Navigation Status and Environmental Factors


    Contributors:
    Yuan, Zhi (author) / Liu, Jingxian (author) / Liu, Yi (author) / Tu, Biao (author) / Li, Yue (author) / Liu, Yulu (author) / Li, Zongzhi (author)


    Publication date :

    2020-09-01


    Size :

    752291 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Inland river intelligent ship navigation encounter time prediction method

    WANG ZHIYUAN / HE WEI / WU YONG et al. | European Patent Office | 2024

    Free access

    Producer gas motor ship for inland navigation

    Reerink | Engineering Index Backfile | 1936



    Inland river ship electric propulsion system and inland river ship navigation control method comprising same

    WANG FANG / ZHANG GANGSHE / ZHANG JIAN et al. | European Patent Office | 2021

    Free access