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%.
Application Research of Ship Maritime Safety Decision System Based on Big Data and Artificial Intelligence
Lect. Notes Electrical Eng.
International Conference on Frontier Computing ; 2020 ; Singapore, Singapore July 10, 2020 - July 13, 2020
2022-01-01
9 pages
Article/Chapter (Book)
Electronic Resource
English
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