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Ship collision risk degree judgment method and system

A discrimination method and risk degree technology, which are applied in the field of ship collision risk discrimination methods and systems, and can solve the problems of complex calculation process and inaccurate discrimination results.

Active Publication Date: 2021-01-29
BEIJING HIGHLANDER DIGITAL TECH +1
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

This method needs to quantify multiple models, the calculation process is complicated, and the threshold value needs to be used for judgment in the evaluation process. However, the specific value of the threshold value is mostly artificially determined by subjective factors, making the result of the judgment inaccurate.

Method used

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  • Ship collision risk degree judgment method and system
  • Ship collision risk degree judgment method and system
  • Ship collision risk degree judgment method and system

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Experimental program
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Embodiment approach

[0145] An optional implementation manner, the training data set includes multiple subsets,

[0146] Said adopting distributed training method to train said nonlinear support vector machine decision tree model, comprising:

[0147] combining the respective first support vectors obtained by training the respective subsets to obtain a first global support vector, and merging the plurality of subsets;

[0148] Combining the second support vector obtained by training the multiple subsets after merging with the first global support vector to obtain the second global support vector;

[0149] Iterate the above process until the convergence condition is met;

[0150] Wherein, the new training data set includes a plurality of new subsets,

[0151] The described non-linear support vector machine decision tree model is updated and trained using a distributed training method, including:

[0152] Combining the third support vectors obtained by updating and training each new subset respec...

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Abstract

The invention discloses a ship collision risk degree judgment method. The method comprises the steps: acquiring ship navigation data to be processed; performing data preprocessing on the to-be-processed ship data to obtain processed data; identifying the ship navigation features through a nonlinear support vector machine decision tree model, and determining the collision risk degree of the ship and the target ship. The invention discloses a ship collision risk degree discrimination system. The ship collision risk degree discrimination method and system can be applied to mass data while improving the classification precision.

Description

technical field [0001] The present invention relates to the technical field of ships, in particular to a method and system for judging the risk of ship collision. Background technique [0002] In the prior art, when judging the risk of ship collision, a geometric model is mostly established, and a risk assessment model is established based on the geometric model, so as to evaluate the collision risk. This method needs to quantify multiple models, the calculation process is complicated, and the threshold value needs to be used for judgment in the evaluation process. However, the specific value of the threshold value is mostly artificially determined by subjective factors, making the result of the judgment inaccurate. Contents of the invention [0003] In order to solve the above problems, the object of the present invention is to provide a method and system for judging the risk of ship collision, which can be applied to massive data while improving classification accuracy. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/15G06K9/62G08G3/02
CPCG06F30/15G08G3/02G06F18/2411
Inventor 刘烨文婷杨凌波段泽
Owner BEIJING HIGHLANDER DIGITAL TECH
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