Identification of ship navigation risk areas and route optimization under complex weather conditions

Complex weather conditions have a significant impact on the safety of ship navigation, and there is currently a lack of effective means to assess the risks to ship stability caused by complex weather. Research on route planning can only simply avoid strong winds and obstacles, and cannot timely and effectively identify navigation risk areas caused by complex weather conditions. In response to the problem of identifying high-risk areas in complex weather conditions, this paper analyzes the factors that affect navigation safety and establishes a navigation risk area model with wind and waves, pitch and heave as constraint conditions. By setting navigation risk as the objective function and using the genetic algorithm to solve it, the optimal route is obtained. The experimental results show that the optimization model proposed in this paper can effectively avoid high-risk sea conditions and prevent pitch or heave from occurring, which is of great significance for improving ship navigation safety.