With the continuous development of global economic integration, international shipping, as a cheap and large-capacity transportation method, has also developed rapidly. However, marine safety accidents occur from time to time. In the current economic situation, ship safety issues are particularly important. The purpose of this article is to study the application of marine safety decision-making system based on big data and artificial intelligence. This article first analyzes the concepts of big data Hadoop platform and artificial intelligence, and then this article analyzes the current safety problems in marine shipping. In the experimental part, this paper designs a maritime safety decision system. The goal of the system is to analyze the ship’s navigation status, and use artificial intelligence, machine learning and other advanced technical methods to replace the original artificial experience prediction method to predict the ship’s operating data. In terms of the specific model selection of the system, this paper selects the multi-layer perceptron which is more suitable for ship navigation data with greater volatility as the core model for predictive model training. Experimental results show that the performance of the system can meet the application requirements. In this paper, by analyzing the forecast error of the system, the error is controlled within 15%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application Research of Ship Maritime Safety Decision System Based on Big Data and Artificial Intelligence


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Chang, Jia-Wei (Herausgeber:in) / Yen, Neil (Herausgeber:in) / Hung, Jason C. (Herausgeber:in) / Deng, Hua (Autor:in) / Yang, Yongqian (Autor:in) / Li, Qingrong (Autor:in)

    Kongress:

    International Conference on Frontier Computing ; 2020 ; Singapore, Singapore July 10, 2020 - July 13, 2020


    Erschienen in:

    Frontier Computing ; Kapitel : 109 ; 963-971


    Erscheinungsdatum :

    01.01.2022


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Application Research of Ship Maritime Safety Decision System Based on Big Data and Artificial Intelligence

    Deng, Hua / Yang, Yongqian / Li, Qingrong | British Library Conference Proceedings | 2021


    SHIP SAFETY MANAGEMENT SYSTEM BASED ON ARTIFICIAL INTELLIGENCE

    BAE HEE JIN / PARK HAN WOONG / CHOI JUN GYOUNG | Europäisches Patentamt | 2022

    Freier Zugriff

    Maritime Law and Ship Safety

    Hodges, S. L. H. / The Nautical Institute / World Maritime University | British Library Conference Proceedings | 1986



    Research on artificial intelligence safety prediction and intervention model based on ship driving habits

    Liu Runnan / Liu Guangze / He Pengfei et al. | DOAJ | 2022

    Freier Zugriff