27 results about "Wave base" patented technology

The invention relates to a double-pile foundation seabed dynamic response simulation method under the wave action based on a multi-physics field coupling model. According to the method, a Wave-Stratum-Seabed Interference (WSSI) model integrating wave-seabed-structure interaction is constructed, the interaction between waves and a double-pile foundation under different pile spacing ratios and incoming flow deflection angles is simulated on an OpenFOAM platform through a finite volume method (FVM), and then the dynamic response of a seabed is analyzed. The model comprises a wave sub-model and a seabed sub-model based on the Biot three-phase consolidation theory, and key parameters such as free surface rise, dynamic wave pressure, vertical pore water pressure, vertical effective normal stress and liquefaction depth can be accurately calculated. An effective simulation tool and method are provided for pile foundation design and safety evaluation in ocean engineering, optimization of the pile foundation layout is facilitated, and the stability of an ocean structure is improved.

The invention discloses a real-time rendering method and system for physical simulation water surface waves, and the method comprises the following steps: constructing a generative adversarial network, obtaining a wave vector and an environment parameter variable of the waves, inputting the environment parameter variable into the pre-constructed generative adversarial network, and calculating the height of the waves through a Tessendorf method; calculating wave displacement through Fourier transform and inverse transform in a frequency domain based on the wave vector; calculating the velocity complex amplitude of the corresponding wave based on the wave vector, introducing a micro-scale vortex velocity field based on a particle system, and calculating the wave velocity based on the velocity complex amplitude and the micro-scale vortex field; and based on the wave height, the wave displacement and the wave speed, performing water surface wave rendering by adopting multi-cascade dynamic. According to the method, the physical rationality and visual authenticity of water surface wave simulation are improved, and water body physical simulation is promoted to develop from visual driving to the fusion direction of physical driving and data driving.

This invention discloses a method for 3D reconstruction of ocean waves based on binocular image data. First, wave image data is acquired through a binocular acquisition platform. Next, a camera model is calibrated based on the data acquired by the binocular system. This involves calculating camera intrinsic parameters using the Zhang Zhengyou calibration method and optimizing camera extrinsic parameters based on image correlation and the spatial distribution of feature points. Rapid stereo matching is then performed on weakly textured wave images. Finally, 3D reconstruction is performed on the wave point cloud. This method enables high-precision self-calibration of the binocular measurement system, completing rapid 3D reconstruction based on binocular image data.

The invention discloses an in-ocean solitary wave amplitude rapid prediction method, an electronic device and a storage medium, and the method comprises the steps: carrying out the rapid prediction of the amplitude of an in-ocean solitary wave based on the in-ocean solitary wave data of an inter-year time scale of a target sea area; the method comprises the following steps: calculating a dimensionless parameter FrN according to the tidal current when an internal solitary wave is generated by an internal solitary wave generation source point, and a seawater buoyancy frequency maximum value and a water depth value of a sea area position with the maximum amplitude in the propagation process of the internal solitary wave along different ray directions, and counting a relational expression between the maximum amplitude and the dimensionless parameter FrN in the propagation process of the internal solitary wave; and in combination with a normalized change relational expression that the amplitude of the internal solitary wave changes along with time in the propagation process along different ray directions, predicting the amplitude of the newly generated internal solitary wave.

This invention discloses a method for predicting the wave height of irregular ocean waves based on numerical water tank simulation and a deep learning model. The method includes using a numerical water tank simulation combined with extreme weather conditions to generate a relatively complete dataset of irregular ocean waves; and constructing a deep learning model, TA-DCLSTM, for end-to-end training and prediction, effectively improving the prediction accuracy of wave height. This invention employs numerical water tank simulation to accurately reproduce wave dynamics, while incorporating extreme weather conditions to generate an irregular wave dataset. After preprocessing, the dataset is input into a deep learning model, proposing a time-series prediction model, TA-DCLSTM, based on a time attention mechanism and dilated convolution. Dilated convolution expands the receptive field, capturing multi-scale temporal features in the wave data, while the time attention mechanism assigns different weights to each time step, focusing on key features to achieve accurate prediction of the wave height of irregular ocean waves.

The invention relates to a device (1) and a method for generating a standing wave (100), the device comprising a structure (2) forming, in an upper part, a basin (3) having a water height (B), the basin generating a gravity-driven flow from upstream to downstream, and further comprising a plurality of zones connected successively, the plurality of zones comprising pumping means (40), a channel (50) having an opening (51) for discharging a spillway section (S), means for closing off the spillway section (S), and a zone for forming the wave (100), the zone for forming the standing wave having a maximum crest (102) height (H), a slope (103) inclination (P), a length (L), and a thickness (E) of a water cushion at the wave base (101); and further comprises means for managing the wave (100) by combined control of: the water height (B) in the basin (3); the power of the pumping means (40); and the closure of the spillway section (S), as a function of the water height (B) and the power.

The invention discloses a ship and sea wave interaction visualization method based on a sea wave spectrum, and the method comprises the steps: S1, building a sea surface model based on an inverse Fourier transform method, and obtaining the circular frequency of any grid point; s2, designing an encounter frequency calculation formula for calculating encounter frequency according to the circular frequency and the obtained encounter angle; s3, designing a calculation model for calculating to obtain the wave disturbance force and moment of the ship on the current sea surface according to the encounter frequency; s4, a six-degree-of-freedom ship motion equation is established, the real-time motion state of the ship on the current sea surface is calculated on the basis of the six-degree-of-freedom ship motion equation and the wave disturbance force and moment borne by the ship on the current sea surface, and the real-time motion state of the ship on the current sea surface is the visual result of ship and sea wave interaction. According to the method, IFFT-based sea surface establishment and the motion model response of the ship in the time domain are coupled, the parallelism of wave modeling and the accuracy of response calculation are both considered, and the method is particularly suitable for a navigation simulator with high real-time performance, multiple degrees of freedom and multi-point output.

A binocular vision-based time-frequency domain observation method for ocean waves includes: installing a dual-camera system at two preset locations, ensuring it is aligned with the same sea surface area for synchronous wave observation; using feature point matching technology to jointly calibrate extrinsic parameters based on camera intrinsic parameters; filtering and correcting the images to remove noise and perform motion compensation as needed; extracting three-dimensional point cloud data using a stereo matching algorithm to construct the three-dimensional morphology of the waves; and performing time-frequency domain analysis on the sea surface data to extract wave parameters and perform time-domain decomposition to comprehensively observe the dynamic characteristics of the waves. This method overcomes the limitations of traditional observation methods, such as the long deployment time and lack of flexibility of wave buoys, and the high cost and inability to accurately acquire sea surface waveforms of X-band wave radar. It provides technical support for marine engineering and sea condition early warning, and has significant economic benefits and application prospects.

The application provides an Arctic sea wave prediction method based on automatic fusion of sea ice density, and belongs to the technical field of weather prediction. The wind field data automatic acquisition system is established to ensure the continuity of the wind field driving data. The sea ice wave interaction optimization model is applied to dynamically adjust the IC4M2 sea ice wave parameterization scheme. The open boundary line is set in the high latitude sea area of the North Atlantic, and the radiation boundary condition algorithm is combined with the sponge layer absorption technology to process the boundary wave propagation. The WAVEWATCH III sea wave numerical model is started, the fourth-order precision finite difference discrete format is combined with the adaptive artificial viscosity control algorithm to calculate the Arctic sea wave field, and the sea wave prediction product business processing system is established, so that the technical problem of low accuracy of the Arctic sea wave prediction caused by the insufficient parameterization precision of the sea ice wave interaction is solved.

A pool wave generator having a pool area and a plurality of chambers for generating waves in the pool area. The example embodiments described herein can be used to control fluid flow within the pool area. For example, the example embodiments can include a control system for selecting the position of one or more valves of the chambers in order to control the entry and exit of water from the chambers. The example embodiments can be used to control the waves generated from the chambers, reduce undesirable turbulence, and / or generate designed waves based on individual control of the respective chambers.

The present disclosure relates to a method and apparatus for directly suppressing multiple waves between onshore layers in the depth domain of a well-controlled area. The method comprises: determining a pre-stack CRP gather from which primary reflection wave information is removed based on acquired work area logging data and a stacked profile of pre-stack depth migration seismic results; calibrating the positions of the multiple waves; determining a stacked profile of the multiple waves based on the calibrated CRP gather; subtracting the stacked profile of the pre-stack depth migration seismic results from a stacked profile of multiple waves with a depth unit of m; and performing pulse deconvolution on the stacked profile after the subtraction to obtain a pre-stack depth migration result after direct suppression of multiple waves between onshore layers in the depth domain of the well-controlled area. This method solves the problem that in the past, when suppressing inter-layer multiple waves through Radon transform, the depth domain migration processing results need to be converted to the time domain through time-depth conversion. Distortion occurs during the time-depth conversion process, resulting in the obtained time domain gather having an inaccurate depiction of the onshore inter-layer multiple waves, which is not conducive to subsequent suppression processing.

This invention discloses an intelligent early warning method, system, and medium for abnormal waves based on a three-branch bilinear gated fusion model, belonging to the field of marine engineering safety early warning technology. The method includes the following steps: constructing an original dataset containing normal wave samples and abnormal wave samples; constructing abnormal wave early warning samples based on a preset input time window and early warning period; extracting the first, second, and third feature vectors from a specific wavefront sequence using a three-branch feature extraction network; performing adaptive fusion through a bilinear gated fusion module to obtain the final fused features; inputting the final fused features into a classification and discrimination module, and outputting the probability of abnormal wave occurrence through multi-dimensional comprehensive analysis. This invention addresses the problems of scarce abnormal wave samples and highly imbalanced categories by introducing hybrid training, asymmetric loss, and false alarm suppression strategies to improve the stability and generalization ability of the developed model under real sea conditions.

A method and device for optimizing regulation of reservoir sediment discharging, comprises: determining a relation curve between a dam front water depth and a reservoir capacity; determining a time length by which a sediment peak is propagated to the front of a dam and a time length by which the sediment peak lags behind a flood peak at the front of the dam based on the relation curve and the hydrologic features; determining another relation curve between a sediment peak attenuation rate and a sediment concentration of the sediment peak, and a time length by which the sediment peak subjected to a man-made flood wave is propagated to the front of the dam; and acquiring a real-time sediment concentration, and generating the man-made flood wave based on the time length by which the sediment peak is propagated to the front of the dam and the another relation curve.

The present application relates to the technical field of slamming wave simulation, and specifically discloses a slamming wave simulation method and device based on time difference regulation. The method first determines multiple groups of target regular waves with specific periods and amplitudes, measures the time difference of wave peaks from wave generation to a specified action point for each group of regular waves; then constructs a wave generation formula based on the time difference, directly generates a composite wave in a large wave tank through the wave generation formula, and simultaneously adopts a slow start and slow stop control to avoid wave start / stop distortion, thereby ensuring that the wave peaks of each group of regular waves in the composite wave are superimposed synchronously at the specified action point to form superimposed waves with a slamming effect. The present application is suitable for wave resistance performance testing of large marine engineering structures, and has high simulation accuracy, simple operation and strong repeatability.

This invention discloses a wave generation control method and apparatus for wave generators deployed at both ends in a wave testing tank. First, the target positions and target angular frequencies of two wave trains are determined based on the target function, which can be wave attenuation, bidirectional wave generation, or focused wave generation. Then, the propagation times of the two wave trains are calculated respectively. Based on the propagation times, the target activation time of the corresponding wave generator is determined. Finally, the corresponding wave generator is activated at the target activation time, generating the corresponding waves based on the target wave height and target angular frequency. In this invention, each end of the wave generators deployed at both ends can independently control wave generation at each end. Based on the synergistic effect of the wave generators deployed at both ends, wave propagation and superposition are controlled, accurately generating focused waves and simulating the effect of concentrated waves on marine structures.

The present application discloses a method and device for determining the thickness of a target object, a storage medium, and a computer program product, relating to the field of marine engineering. The method for determining the thickness of a target object comprises: determining the speed of sound in water of an ultrasonic wave emitted by a detection device based on environmental parameters in the water, wherein the detection device is used to detect the thickness of an underwater steel structure; correcting the amplitude of a first reflected signal measured by the ultrasonic wave based on a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the effect of the surface state of the underwater steel structure on the propagation of the ultrasonic wave; and determining the thickness of the underwater steel structure based on the sound speed and the second reflected signal amplitude. The above technical solution solves the problem in the prior art of determining the thickness of an underwater steel structure by only fixing the sound speed, resulting in inaccurate detection data.

The application discloses a slope thin-layer flow roll wave evolution analysis method and system based on three-dimensional reconstruction, and the method comprises the following steps: acquiring a synchronous water depth time sequence of multiple sections along a flow direction; reconstructing a three-dimensional space-time model of a thin-layer flow roll wave based on a space position and a water depth sequence; performing lower envelope surface fitting on wave form data to construct a static water base surface, separating a wave water surface and calculating a wave deviation amount; calculating geometric morphological characteristic parameters such as a shape factor, shape diversity and integral absolute slope of each section based on the deviation amount; and dividing roll wave evolution stages according to the shape factor along a flow direction. The application realizes visualization of a three-dimensional shape of a roll wave and accurate separation of a wave surface, and through construction of a systematic geometric characteristic parameter system, objective and automatic quantitative identification of roll wave evolution stages is realized.

The application discloses a kind of numerical wave generation method of internal solitary wave based on marine measured data, first determine the size of observation basin, obtain the distribution of seawater physical parameters on three-dimensional space, sampling according to the set spatial resolution, further obtain the three-dimensional spatial distribution of internal solitary wave;The measured data of the three-dimensional spatial distribution of internal solitary wave is reorganized into the data format that can be recognized by Fluent simulation software, and a new ip file is generated;Establish the same size of calculation domain with the observation basin, and establish the numerical tank of internal solitary wave using mesh division software;Read the grid file using Fluent software, interpolate the ip file into the calculation domain to complete numerical wave generation.Set numerical parameters, solution format, click Calculate to start calculation, and the free evolution movement of internal solitary wave can be realized.The application can simulate internal solitary wave in actual ocean simply and quickly, and provides a novel and effective wave generation method for further research on internal solitary wave.

The application relates to a double-buoy observation-based internal solitary wave rapid early warning method, system and equipment, and relates to the technical field of ocean internal wave observation and application. The method comprises the following steps: identifying an internal solitary wave through minute-level flow field data returned by two buoys in a target sea area, analyzing the time when the internal solitary wave reaches the buoys, extracting wave-induced flow velocity from the flow velocity data for the internal solitary wave, fitting vertical profile data, and determining the propagation direction of the internal solitary wave. Based on the propagation direction, the wave peak line is analyzed to determine the propagation path of the internal solitary wave and water depth change data. The established three-dimensional density field is used to further calculate the buoyancy frequency. Finally, the propagation speed of the internal solitary wave is determined by combining the water depth, the buoyancy frequency and fusing the nonlinear internal wave theory, the arrival time of the buoys to the target station is calculated, and early warning information is output. The application realizes rapid and accurate estimation of the propagation time of the internal solitary wave from an observation point to a target station, and effectively improves the real-time monitoring and early warning capability of the internal solitary wave.

The application discloses an internal tide-internal solitary wave prediction method based on observation data of a submerged buoy and belongs to the technical field of ocean observation. In the internal tide prediction stage, a deep learning model is used to model the observation data in an end-to-end mode, long-period global dependence and local fine-grained features are effectively extracted through the combination of standardization processing, a sparse attention mechanism and a recurrent neural network, and the fast prediction of future multi-step internal tide sequences is realized; in the internal solitary wave prediction stage, a windowed statistical feature and a weighted logistic regression method are introduced, the predicted semidiurnal tide, diurnal tide and superposed tide sequences are converted into a statistical feature vector, and the prediction of internal wave occurrence in a future period is realized through a logistic regression model. The application can be widely applied to the fields of intelligent monitoring of ocean dynamic environment, internal wave prediction, engineering safety evaluation and the like, and provides an efficient and robust technical scheme for deep sea observation and rapid prediction.

The present invention provides a method for suppressing and evaluating ocean wave-induced magnetic interference based on time series matrixization, including: reading the time series of marine geomagnetic fields; using a combination of variational mode decomposition and band-pass filtering to estimate noise; constructing a time series matrix and a noise matrix based on the phase space reconstruction matrixization method; performing MNF transformation on the data matrix; selecting high-order MNF components to reconstruct the noise matrix and inverse matrixize it to obtain the noise time series; performing band-pass filtering on the noise time series to extract ocean wave-induced magnetic noise to achieve signal-noise separation; evaluating the noise suppression effect based on the autocorrelation function; determining whether the requirements are met; and outputting the time series of the suppressed noise. The proposed interference suppression method provides an effective solution for suppressing noise that is aliased with the effective signal in the time domain and frequency domain, and improves the data signal-to-noise ratio. The noise suppression effect evaluation method based on the autocorrelation function can be used for measured data, and has a wider application range and practicality compared with traditional methods.

The invention discloses an ocean extreme wave measurement method based on multi-source data driving, and the method comprises the steps: obtaining multi-source heterogeneous monitoring data of a target sea area, which at least comprises buoy motion attitude data collected in real time and multi-source original wave observation data; calculating a working condition response index reflecting the stability degree of the buoy, and establishing a mapping relation between the working condition response index and the data credibility to obtain a real-time reliability coefficient for the multi-source original wave observation data; constructing a dynamic observation variance by using the real-time reliability coefficient, and performing Bayesian fusion processing on the multi-source original wave observation data to obtain a wave element fusion observation value; and inputting the wave element fusion observation value into a pre-trained extreme wave prediction model, and outputting an extreme wave element prediction result of the target sea area. According to the method, the problems of data distortion and model physical consistency deficiency caused by strenuous movement of the buoy under the extreme sea condition are effectively solved, and the prediction precision of extreme wave elements is improved.

The application discloses a wave in-situ calibration method based on a GNSS buoy and belongs to the field of wave in-situ calibration. The method comprises the following steps: obtaining buoy deviation data based on position and attitude data of the GNSS buoy under different sea conditions; constructing a deviation compensation model and a deviation sliding model based on the buoy deviation data; obtaining a deviation compensation result based on the deviation compensation model and the deviation sliding model, wherein the deviation compensation result comprises first deviation compensation and second deviation compensation; and fusing the deviation compensation result with GNSS positioning data to obtain a wave parameter estimation result.

The invention discloses a wave making control method and device for arranging wave makers at two ends in a wave test pool, and the method comprises the steps: firstly, determining the target positions and target angular frequencies of two columns of waves based on a target function; wherein the target function is a wave absorbing function, a bidirectional wave function or a focusing wave function; then, respectively calculating the propagation time of the two columns of waves; determining a target starting moment of the corresponding wave maker according to the propagation time; and finally, starting the corresponding wave maker at the target starting moment, and generating corresponding waves based on the target wave height and the target angular frequency. According to the invention, each end of the two-end layout wave maker can independently control wave generation at each end. Based on the synergistic effect of the layout wave generators at the two ends, propagation and superposition of waves are controlled, focused waves are accurately generated, and the effect of the focused waves on the ocean structure is simulated.

The invention relates to a sea wave prediction method and system based on super-resolution reconstruction, and belongs to the technical field of sea wave prediction.The method comprises the following steps that multi-element historical data and multi-element prediction data of a target sea area and low-resolution first significant wave high-field image data at the current moment are obtained; inputting the multi-element prediction data and the first significant wave high-field image data into an improved super-resolution model to generate second significant wave high-field image data; inputting the multi-element historical data and the second significant wave height field image data into a pre-trained machine learning model to obtain sea wave significant wave height prediction data of the target sea area; wherein the improved super-resolution model is based on at least one item of element prediction data in the multi-element prediction data, and a specific area in the first significant wave height field image data is selected for super-resolution processing.

The invention discloses a three-dimensional water wave energy band and forbidden band attenuation coefficient solving method based on high-order boundary elements, and belongs to the field of water wave regulation and control, and the method comprises the following steps: S1, building a three-dimensional fixed structure infinite period array model based on a linear potential flow theory, dividing a fluid into a plurality of same units, obtaining a control equation and boundary conditions satisfied by the fluid domain velocity potential; s2, a high-order boundary element method is selected to solve a three-dimensional Laplacian equation, boundary conditions are substituted into a boundary integral equation, a simple Green function is selected, high-order grid units are obtained through numerical discretization, and a linear homogeneous equation set is established; and S3, by arranging the equation set, converting a solution problem of the equation set into a local minimum problem to solve a complex Bloch wave number, and obtaining an attenuation coefficient of the water wave energy band in the forbidden band. By the adoption of the solving method, the attenuation coefficient in the energy band structure and the forbidden band of the three-dimensional fixed structure can be rapidly and accurately solved.

This disclosure relates to the field of marine surveying technology, and provides a method and apparatus for a marine standard penetration test (SPT). The method includes: determining the predicted wave displacement at the test site for the marine SPT; calculating the first acceleration of the wave based on the predicted wave displacement; estimating the motion state of the marine platform based on the first wave acceleration and motion state parameters of the marine platform to determine the predicted displacement of the marine platform; calculating the target extension / retraction amount of the extension / retraction compensation mechanism in the marine SPT apparatus based on the predicted displacement of the marine platform and the current displacement measurement value; optimizing the control parameters of the PID controller using a particle swarm optimization algorithm to minimize the difference between the current extension / retraction amount of the extension / retraction compensation mechanism and the target extension / retraction amount; and conducting the marine SPT based on the extension / retraction motion of the extension / retraction compensation mechanism. This solution can improve the accuracy of marine SPTs.