Ship oil consumption prediction method and device, computer equipment and storage medium

A forecasting method and computer program technology, applied in computer parts, forecasting, calculation, etc., can solve the problems of poor explainability of fuel consumption forecasting methods

Pending Publication Date: 2020-12-29
国能远海航运有限公司
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Problems solved by technology

[0003] During the implementation process, the inventors found that there are at least the following problems in the traditional technology: the current fuel consumption prediction method has problems such as poor interpretability

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  • Ship oil consumption prediction method and device, computer equipment and storage medium
  • Ship oil consumption prediction method and device, computer equipment and storage medium
  • Ship oil consumption prediction method and device, computer equipment and storage medium

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Embodiment Construction

[0050] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0051] In one embodiment, such as figure 1 As shown, a method for predicting fuel consumption of ships is provided, including steps:

[0052] S110, acquiring various fuel consumption characteristic parameters of the ship;

[0053] Among them, the characteristic parameters of fuel consumption are characteristic parameters that affect fuel consumption, and may include a series of characteristic parameters that can affect fuel consumption, such as main engine power, ship speed, draft, main engine speed, wind speed, wind direction, wind speed, and water flow speed.

[0054] ...

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Abstract

The invention relates to a ship oil consumption prediction method and device, computer equipment and a storage medium. The ship oil consumption prediction method comprises the steps: acquiring each oil consumption characteristic parameter of a ship; extracting respective oil consumption characteristic parameters by using a random forest algorithm to obtain a preset number of original characteristic parameters; preprocessing the respective original characteristic parameters to obtain target characteristic parameters; establishing an LASSO regression model according to the respective target characteristic parameters; and acquiring a current characteristic parameter, and processing the current characteristic parameter by using the LASSO regression model to obtain an oil consumption predictionvalue. According to the method, the number of the characteristic parameters required for establishing the model is reduced through the random forest algorithm, a data set with a large number of characteristics can be processed, and the data corresponding to the characteristic parameters does not need to be standardized before the random forest algorithm is used for extracting the characteristics.Through the LASSO regression model, the interpretability of the model can be improved, and the prediction accuracy can be further improved.

Description

technical field [0001] The present application relates to the technical field of ships, in particular to a method, device, computer equipment and storage medium for predicting fuel consumption of ships. Background technique [0002] In the international shipping market, how to reduce shipping costs and increase profits has always been a topic of general concern in the international shipping market, and reducing fuel consumption of main engines is a key part of it. At the same time, with the development of productivity and the improvement of people's living standards, more and more countries have begun to pay attention to environmental issues and require shipping ships to have lower emissions. These have prompted shipping companies to pursue lower main engine fuel consumption. [0003] During the implementation process, the inventors found at least the following problems in the traditional technology: the current fuel consumption prediction method has problems such as poor i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62G06F30/27G06F30/15G06F17/18
CPCG06Q10/04G06F17/18G06F30/15G06F30/27G06F18/24323G06F18/214
Inventor 闫明胜韩宝宏李志郭标孙成军
Owner 国能远海航运有限公司
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