Ship route navigational speed multi-task comprehensive optimization method

Abstract

The invention provides a ship route navigational speed multi-task comprehensive optimization method. The ship route navigational speed multi-task comprehensive optimization method includes the steps:obtaining basic information including meteorological and sea conditions, geographic conditions, a recommended initial route and ship basic information during navigation; preprocessing the data; dividing each route segment of the recommended route at equal longitude; obtaining a plurality of equal division points as to-be-optimized steering points; establishing a multi-objective optimization modelwith a wave height penalty function by taking oil consumption and navigation time as objectives; and inputting related data into the model, solving the model by using a multi-objective evolutionary algorithm, obtaining a Pareto solution set of the optimal air route by adjusting the latitude position of each steering point to be optimized and optimizing the water navigational speed of each segment,and finally obtaining the optimal air route according to the requirements of a client. Compared with a traditional route optimization method, the route optimized through the ship route navigational speed multi-task comprehensive optimization method can effectively avoid meteorological severe areas, navigation risks are reduced while navigation oil consumption and navigation time are optimized, and navigation cost is reduced.

Description

[0001] Technical field: [0002] The invention belongs to the field of ship shipping, and specifically relates to a method for optimizing the speed of a route based on marine meteorological information. [0003] Background technique: [0004] With the continuous development of the world economy, economic globalization has become an inevitable trend. Among them, the shipping industry, as the core of supporting the supply chain and international trade transportation, has a vital impact on the world economy. Shipping, especially ocean Transportation has the characteristics of large volume, long distance, and long time-consuming. When a ship completes a voyage, it often consumes hundreds or even thousands of tons of fuel. Therefore, reducing the fuel consumption of ships and ensuring the safety of navigation and cargo have always been the key considerations in the formulation of voyage plans. Among them, route design and optimization are the core of voyage plans. A high-quality rou...

AI Technical Summary

Problems solved by technology

[0005] Route design and optimization is a complex decision-making process. It is to fully consider environmental factors, ship performance, cargo factors, port factors, etc. under the premise of ensuring the safety of ships and people on board, so as to achieve the best economic and economic efficiency of ship navigation. Comfort, including the shortest voyage distance, the lowest fuel consumption, the lowest voyage time, the lowest ship damage and cargo damage, etc., so as to achieve the goal of reducing operating costs and greatly improving transportation efficiency. Therefore, this is a typical multi-objective optimization problem. Traditional The disadvantages of the route optimization algorithm are that sufficient prior knowledge is required, and it is difficult to deal with target noise, the robustness is poor, the efficiency of optimization is not high, and the dynamically changing meteorological conditions are rarely considered, which makes it easy for ships to Encountering severe weather conditions, even catastrophic sea conditions such as typhoons and huge waves, the safety of ships’ navigation is greatly threatened. increase, the economic benefits of navigation will decrease; bad weather will also lead to an increase in fuel consumption and emissions, and aggravate the pollution of the marine environment

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