ship collision accident level prediction method and system based on a Bayesian network

A technology of Bayesian network and collision accident, applied in the field of grade prediction

Inactive Publication Date: 2019-04-19
中交信息技术国家工程实验室有限公司
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  • Abstract
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Problems solved by technology

Generally speaking, the research on the consequences of marine ship collision accidents (such as severity, casualties, etc.) is still in its infancy, and has great research potential and space, which needs to be further strengthened and deepened.

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  • ship collision accident level prediction method and system based on a Bayesian network
  • ship collision accident level prediction method and system based on a Bayesian network
  • ship collision accident level prediction method and system based on a Bayesian network

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Embodiment Construction

[0051] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0052] Bayesian network method is an ideal and effective tool developed in recent years to deal with uncertain problems, and has been widely used in many fields such as data mining, intelligent decision-making, pattern recognition, and medical diagnosis. Bayesian network is a graphical model that intuitively expresses the probability dependence relationship between variables. It consists of two parts: the network structure and the conditional probability distribution. The directed acyclic graph represents the structural attributes among the random variables of the research object. The random variables of , the directed edges between the nodes represent the conditiona...

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Abstract

The invention discloses a ship collision accident level prediction method and system based on a Bayesian network. According to the method, by constructing a ship collision accident prediction model, grade prediction of ship collision accidents is achieved, from the perspective of data, the law between accident factors is found by deeply mining the relation between the accident factors, an expert knowledge method with too high subjectivity is replaced, and the Bayesian network of the ship collision accidents is established. From the perspective of the method, a ship collision accident prediction model is constructed based on the Bayesian network, the ship collision accident level prediction problem is solved, and the development of the maritime risk theory is promoted. From the perspectiveof application, research results can provide scientific basis for ship navigation command and emergency decision making.

Description

technical field [0001] The invention relates to the technical field of traffic safety prediction, in particular to a Bayesian network-based ship collision accident level prediction method and system. Background technique [0002] my country is a big shipping country in the world, and shipping has important strategic significance to the country. With the development of the maritime transportation industry, the routes are becoming more and more busy, the density of ships is increasing, the ships are becoming larger and more specialized, the speed of ships is increasing, and the navigation environment is becoming more and more complicated, resulting in frequent occurrence of various marine traffic accidents. In the increasingly severe situation of maritime traffic safety, how to ensure safe and efficient ocean transportation has become the focus of attention of countries and maritime departments all over the world. [0003] The statistics of water traffic accidents show that t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F17/18G06K9/62
CPCG06F17/18G06Q10/04G06F18/2321G06F18/24155
Inventor 张云桑凌志段涛耿丹阳苏航白雪娇王文杰胡鹏程
Owner 中交信息技术国家工程实验室有限公司
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