Method and system for dynamically optimizing meteorological route of unmanned ship

Abstract

The invention relates to a method and a system for dynamically optimizing a meteorological route of an unmanned ship. The method comprises the following steps of: performing gridding processing on a ship navigation area to obtain a plurality of grid points; acquiring an initial route of the ship, and calculating evaluation values of all grid points in the navigation area; in the navigation processof the ship according to the initial route, comparing the grid point of the current position of the ship with the initial route in real time, and comparing real-time meteorological data with meteorological data of the corresponding grid point; in response to route deviation or meteorological data change, updating the evaluation value of the grid point between the column where the ship driving grid point is located and the end point according to the real-time meteorological data to obtain an updated grid point evaluation value; and determining an optimal route according to the updated grid point evaluation value. According to the method and the system, the dynamic optimization model of the meteorological route of the unmanned ship is established based on a dynamic programming recursive equation, the model performs gridding processing on the ship navigation sea area, the evaluation value is updated according to the real-time marine meteorological data, and the optimal route is obtainedaccording to the route evaluation value.

Description

technical field [0001] The invention relates to the technical field of ships, in particular to a method and system for dynamically optimizing weather routes of unmanned ships. Background technique [0002] Meteorological route design is an important research content to ensure the safe and efficient navigation of intelligent unmanned ships. The safety and economy of routes are also two indicators to measure the quality of ship routes. Energy consumption and voyage time are two important factors affecting the economy of routes. . [0003] Traditional route optimization methods mostly use static weather information as the basis for weather route design, which cannot reflect the impact of real-time weather on routes, and lack the simultaneous consideration of energy consumption and voyage time. Realizing the shortest voyage time or the lowest energy consumption of the route cannot meet the actual navigation needs of ships. [0004] It can be seen that the existing methods have...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the above-mentioned problems in the prior art, the present invention provides a method and system for dynamic optimization of unmanned ship meteorological routes to solve the problem that existing methods cannot be optimized based on real-time changing meteorological data in the route planning process

Images