Intelligent route fuel-saving method based on navigation characteristic data learning

Abstract

The invention discloses a fuel-saving method for an intelligent route based on navigation characteristic data learning, which includes a fuel consumption model verification system, an intelligent route selection system, input information, and output information, and is characterized in that the fuel consumption model verification system includes water flow information calibration verification model, ship type verification, draft verification model, navigation speed verification model, wave information verification model, meteorological information verification model, predicted fuel consumption of past routes, and actual Fuel consumption; the beneficial effect is that the most fuel-efficient route can be intelligently selected according to the time-varying external factors in the long-distance voyage, which can not only meet the actual engineering needs of marine ships to save fuel, fill in the technical gap, but also generate large social and economic benefits.

Description

technical field [0001] The invention relates to the field of maritime ship transportation, in particular to an intelligent route fuel-saving method based on navigation characteristic data learning. Background technique [0002] International crude oil prices rose, as crude oil futures broke through the $100 a barrel mark for the first time. For shipping companies, the cost of fuel oil and lubricating oil accounts for an increasing proportion of ship operating costs, and saving fuel and lubricating oil costs has become a top priority for shipping companies; for transport ships, the benefits of container ships are most affected, and ultra-large container ships The daily fuel consumption is nearly 300 tons, the cylinder oil is nearly 2 tons, and the cost of fuel oil is more than 100,000 US dollars. Fuel saving is even more imminent. [0003] The route formulated by the flight plan is generally a short-distance route, but it is not necessarily the route with the shortest sailin...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical bottlenecks in the current existing technology, such as the route formulated by the ship's navigation plan is not the best fuel-saving route, the present invention proposes an intelligent route fuel-saving method based on navigation characteristic data learning, which can, according to real-time input information, Periodic dynamic decision-making to select the best fuel-saving route, with accurate route prediction and good fuel-saving effect, which can not only meet the actual engineering needs of marine ships to save fuel in ocean-going voyages, fill in the gaps in related technologies, but also generate greater social and economic benefits

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