Giant estuary ship navigation capability numerical simulation model test method

By dynamically adjusting the model accuracy in numerical simulation methods, identifying high-risk sections, and activating the high-fidelity physical kernel module in real time, the problem of balancing simulation accuracy and efficiency in existing technologies is solved, and efficient simulation of ship navigation capabilities is achieved.

CN121543488APending Publication Date: 2026-02-17TIANJIN RES INST FOR WATER TRANSPORT ENG M O T
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Patent Information

Application Number
CN202511683403.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-17
Publication Date
2026-02-17

AI Technical Summary

Technical Problem

Existing numerical simulation methods, due to their use of static and uniform fidelity models, suffer from insufficient simulation accuracy in critical high-risk areas or waste of computational resources in low-risk areas, making it difficult to balance simulation accuracy and computational efficiency.

Method used

By constructing a baseline physical model, identifying high-risk sections and preloading a high-fidelity physical kernel module, the dynamic risk potential field value is calculated in real time, the high-fidelity physical kernel module is dynamically activated or downgraded, and asynchronous parallel operation is performed to correct ship motion. The model parameters are updated using a historical risk potential field database.

Benefits of technology

It achieves high-precision simulation in critical high-risk areas while maintaining efficient computation in low-risk areas, balancing simulation accuracy and computational efficiency, shortening model switching time, and improving the accuracy of ship navigation attitude and trajectory simulation.

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Abstract

The invention relates to the field of ship hydrodynamics and numerical simulation, and discloses a giant estuary ship navigation capability numerical simulation model test method, which comprises the following steps: executing a prospective preparation step, and constructing a baseline physical model; executing a baseline simulation and dynamic risk assessment step, performing navigation simulation under the driving of the baseline physical model, and calculating a dynamic risk potential field value in real time; when the dynamic risk potential field value exceeds a trigger threshold value, executing a high-fidelity instantiation step, and activating a high-fidelity physical kernel module; an asynchronous coupling calculation step is executed, and the accurate hydrodynamic force calculated by the high-fidelity module is used for replacing a ship body hydrodynamic force item in the baseline ship control model; when the dynamic risk potential field value is continuously below a degradation threshold, a model degradation step is performed, and calculation of its inherent hull hydrodynamic terms by the baseline ship manipulation model is resumed. By means of the dynamic switching mechanism, high-precision computing resources are only input in a necessary high-risk section, and efficient simulation is maintained in a low-risk section.
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