In the context of world economic globalization, with the rapid growth of maritime traffic, the shipping industry has undergone tremendous changes, and more and more ship trajectories have appeared in various maritime activities. This increases the load on the waterway and congests the channel. Such a complex maritime environment is a severe test for China's maritime management. The main purpose of this study is to develop an automatic prediction system for ship motion based on artificial intelligence technology, which can monitor the position, course, speed and other information of the ship in real time, and predict the future trajectory of the ship through the analysis of historical data, and provide real-time decision-making support for port management, route planning, navigation safety and other aspects. At the same time, this study also aims to explore and improve the automatic prediction algorithm of ship motion situation, improve the prediction accuracy, and enhance the stability and practicality of the system. Through research, we hope to solve some practical problems in ship management while promoting the application and development of artificial intelligence technology in the maritime field.
With the continuous development of navigation business, the number of ships navigating at sea has increased greatly, and the congestion of waterways is also increasing, which brings the risk of ship collision is also increasing day by day. For this phenomenon this paper proposes an effective solution, this paper takes the ship navigation in the sea near Luoyuan Bay as the research object, first processes the AIS data of the ship, and then uses ArcGIS software to superimpose the AIS data on the nautical chart onto the nautical chart to reproduce the marine traffic situation, and then screens the traffic-intensive area of the navigation area and evaluates the navigation safety risk in the sea area, finally finds a navigation method that can effectively reduce the risk of ship collision. Using the recommended navigation method for navigation guidance can effectively reduce risk accidents and improve navigation safety.
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