Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Ship conflict early-warning method based on rolling planning strategy

A ship and strategy technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of ship trajectory and ship conflict warning without a more accurate solution.

Inactive Publication Date: 2017-12-15
JIANGSU UNIV OF TECH
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The ship conflict warning is based on the prediction of the ship's trajectory. In the actual navigation of the ship, affected by various factors such as meteorological conditions, navigation equipment and driver's operation, its operating state often does not completely belong to a specific Therefore, there is currently no more accurate solution for the prediction of ship trajectory and early warning of ship conflict

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Ship conflict early-warning method based on rolling planning strategy
  • Ship conflict early-warning method based on rolling planning strategy
  • Ship conflict early-warning method based on rolling planning strategy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] See figure 1 The ship conflict early warning method based on the rolling planning strategy of the present embodiment includes the following steps:

[0055] ①Obtain the real-time and historical position information of the ship through the sea surface radar, and the position information of each ship is a discrete two-dimensional position sequence x'=[x 1 ',x 2 ',,x n '] and y' = [y 1 ',y 2 ',,y n '], by applying wavelet transform theory to the original discrete two-dimensional position sequence x'=[x 1 ',x 2 ',,x n '] and y' = [y 1 ',y 2 ',,y n '] for preliminary processing, so as to obtain the denoising discrete two-dimensional position sequence x=[x 1 ,x 2 ,,x n ] and y = [y 1 ,y 2 ,,y n ], for the given original two-dimensional sequence data x'=[x 1 ',x 2 ',,x n '], which are approximated by linear expressions of the following form:

[0056]

[0057] in:

[0058] f'(x') represents the function expression obtained after smoothing the data, ψ(x'...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a ship conflict early-warning method based on a rolling planning strategy. The method comprises the following steps of firstly obtaining real-time and historical position information of a ship through a sea-surface radar and conducting preliminary processing; then preprocessing ship track data at every sampling moment, then clustering the ship track data at every sampling moment, then using a Hidden Markov Model to conduct parameter training on the ship track data at every sampling moment, then adopting a Viterbi algorithm to obtain a hidden state q corresponding to a current moment observation value according to the parameters of the Hidden Markov Model at every sampling moment, finally obtaining a predicted position value O of the ship at a future time interval based on the hidden state q of the ship at the current moment through a set prediction time domain W at every sapling moment, and monitoring and timely giving alarming messages to dynamic behaviors of the ship by building a safe rule set. According to the ship conflict early-warning method based on the rolling planning strategy, the ship track is predicted in real time in a rolling mode, sea area conflicts are subjected to effective early-warning, and the safety of sea traffic is improved.

Description

[0001] This application is a divisional application of the invention patent application with the application number: 201410844695.1, the invention name is "ship conflict warning method", and the application date is: December 30, 2014. technical field [0002] The invention relates to a sea area traffic control method, in particular to a ship conflict early warning method based on a rolling planning strategy. Background technique [0003] With the rapid development of the global shipping industry, the traffic in some busy sea areas is becoming more and more congested. In sea areas with dense and complex ship traffic flow, the control method of sailing plan combined with manual interval allocation for the conflict between ships can no longer adapt to the rapid development of the shipping industry. In order to ensure the safe separation between ships, the implementation of effective conflict early warning has become the focus of sea area traffic control. Early warning of ship ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 韩云祥赵景波李广军
Owner JIANGSU UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com