Method and system for predicting posture of ship moored at open type wharf

A predictive method and an open technology, which can be applied to equipment for reducing ship movement, equipment for increasing stability of ships, ships, etc., and can solve problems such as inability to achieve information sharing, economic losses, and lack of security guarantees

Inactive Publication Date: 2016-08-10
DALIAN JIAOTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing operating methods relying on weather forecasts, visual sea conditions, and mooring ship monitoring systems for manual prediction are inefficient, unable to achieve information sharing, and lack scientific prediction capabilit

Method used

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  • Method and system for predicting posture of ship moored at open type wharf
  • Method and system for predicting posture of ship moored at open type wharf
  • Method and system for predicting posture of ship moored at open type wharf

Examples

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Embodiment 1

[0072] The wind direction of the example environmental elements to be predicted is 1 (cross wind), the wind speed is 2.1m / s, the wave height is 1.0m, and the wave direction is 1 (cross wave); the flow direction is 5 degrees, and the flow speed is 1m / s.

[0073] Read historical examples in turn and calculate d(i,j), retain the current minimum distance example, and when the loop ends, the minimum distance min is obtained j∈CASE For an example of d(i, j), extract the ship attitude data of this example, which is the predicted value of ship attitude. For example: horizontal movement 0.54m, longitudinal movement 0.2m, elevation 0.49m, rolling 1.15 degrees, pitching 0.36 degrees, turning 0.28 degrees.

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Abstract

The invention discloses a method and system for predicting the posture of a ship moored at an open type wharf. The method comprises the following steps of collecting environment dynamic data, wharf ship data and ship gesture data; integrating the three data collected, to form a sample sequence in continuous time, and storing into an environment wharf ship integrated database; collecting current environment dynamic data, and inputting into an environment dynamic prediction model to obtain environment dynamic prediction data at a set time period; the environment dynamic prediction data at least including the wind scale, wind speed, wind direction, tide level, ocean current velocity and ocean current direction; traversing the sample sequence, performing calculation to obtain the sample at the smallest weighted Euclidean distance with the environment dynamic prediction data, extracting the posture data of the ship in the smallest sample, and taking the posture data as the posture prediction data of the ship at set time; and the ship posture data at least including data of six degrees of freedom, such as transversing, rolling, surging, pitching, rotating and lifting.

Description

technical field [0001] The invention relates to a method and system for predicting the attitude of a moored ship in an open wharf. Involving patent classification B63 Ships or other watercrafts; Ship-related equipment B63B Ships or other watercrafts; Marine equipment B63B39 / 00 Equipment for reducing pitch, roll or similar undesired motion of a vessel; Equipment for indicating the attitude of a vessel B63B39 / 14 is used to indicate the inclination or duration of rolling. Background technique [0002] During the mooring operation of the wharf, under the action of environmental forces such as wind, waves, and tidal currents, the mooring ship often moves in six degrees of freedom, including lateral movement, rolling, longitudinal movement, pitching, turning, and lifting. The range of motion of the ship is not only likely to cause the ship to capsize, but also affect the safety of the ship itself. So far, existing dock mooring operations at home and abroad have not yet establish...

Claims

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Application Information

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IPC IPC(8): B63B39/14
CPCB63B39/14
Inventor 宋旭东邱占芝
Owner DALIAN JIAOTONG UNIVERSITY
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