Real-time prediction method and simulation system for wave force borne by motion load

A real-time prediction, wave force technology, applied in design optimization/simulation, instrument, calculation, etc., can solve the problems of increasing the difficulty of deep-sea crane controller design, the failure of timely feedback of force information, and the difficulty of motion and force data, etc. Achieving the effect of wide practicability, flexible model establishment and setting, and great flexibility

Pending Publication Date: 2021-11-05
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The inventor found in the research that the time lag phenomenon is a phenomenon that often occurs in actual engineering. The network transmission speed and the long sampling time of the sensor will cause the time lag phenomenon of data feedback. Therefore, no matter for the load on the hu

Method used

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  • Real-time prediction method and simulation system for wave force borne by motion load
  • Real-time prediction method and simulation system for wave force borne by motion load
  • Real-time prediction method and simulation system for wave force borne by motion load

Examples

Experimental program
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Effect test

Example Embodiment

[0056] Example one

[0057] The present embodiment discloses a method for real-time prediction of the movement of the load subject to wave forces, combined with the method of computational fluid dynamics software OpenFOAM GRU wave forces the neural network for real-time prediction of the movement by the load.

[0058] The present embodiment produces a large amount of numerical data based on computational fluid dynamics tank float for interacting with the wave calculated using numerical tanks to train the neural network, trained neural network for providing a floating body to the crane control line (load boat and ) of the force information. And also it can be used to verify the performance of the deep sea crane controller designed based on CFD numerical waves.

[0059] In an example embodiment, it is also possible by introducing PyTorch library, which has been introduced into the trained neural network with the prediction data OpenFOAM to expand OpenFOAM function.

[0060] Specific...

Example Embodiment

[0100] Example 2

[0101] Object of the present embodiment is to provide a computing apparatus including a memory, processor and the storage and computer programs running on a processor in the memory, the above-described process steps to achieve the processor when executing the program.

Example Embodiment

[0102] Example three

[0103] Object of the present embodiment is a computer-readable storage medium.

[0104] A computer-readable storage medium, having stored thereon a computer program, performing the above method steps when the program is executed by a processor.

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Abstract

The invention provides a real-time prediction method and simulation system for wave force borne by a motion load. The method comprises: establishing a numerical wave pool and a solver; by utilizing the solver, solving the interaction between two-dimensional and three-dimensional floating bodies with different shapes and waves with different parameters, and calculating to obtain the motion attitude of the floating bodies along with the waves and the stress information at each moment; and training a neural network by using the calculated motion posture and stress information, and predicting the wave force borne by the floating body in a specific environment on line by using the trained neural network. A controller can be designed in the numerical wave pool, a controller interface is preset in the numerical pool, that is, a control equation can be added into a configuration file, in the simulation calculation process, control force is obtained through feedback information calculation and then applied to a controlled object, and object control is achieved to stabilize object movement. The numerical wave pool can conveniently simulate floating body movement conditions of different objects under different sea conditions, and has great flexibility and practicability.

Description

technical field [0001] The invention belongs to the technical field of real-time prediction of wave force, and in particular relates to a real-time prediction method and simulation system of a moving load subjected to wave force. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In the case of harsh sea conditions, it is an extremely important issue in marine engineering to hoist cargo safely and smoothly into seawater for project construction. [0004] Since the deep-sea crane is fixed to a moving platform such as a ship, the ship will produce heave, roll and other motions under the influence of waves. When the hoisted load touches the seawater, the load will also be affected by the waves to produce a series of nonlinear and irregular movements, which may cause the load to collide with the hull, resulting in damage to the load or breakage ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F30/28G06F113/08G06F119/14
CPCG06F30/27G06F30/28G06F2113/08G06F2119/14Y02T90/00
Inventor 马昕王凯宋锐荣学文李贻斌
Owner SHANDONG UNIV
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