21 results about "Wave parameter" patented technology

The invention discloses a silty silt seabed critical start calculation method considering seabed liquefaction influence, and belongs to the technical field of silt dynamic simulation and calculation. The method comprises the following steps: firstly, acquiring wave parameters such as wave height, period and water depth, and calculating a characteristic Reynolds number based on a Stokes wave theory; in combination with field observation or indoor test data, the liquefaction grade is calculated through an empirical function, and the bed state is divided; then according to the liquefaction grade, the sediment erosion coefficient and the critical starting stress are corrected in an index form; and finally, correcting empirical coefficients by using field and indoor data, and constructing a regional correction coefficient table. The method can accurately reflect the influence of liquefaction on sediment starting, the accuracy of the calculation result is improved compared with that of a traditional method, the method can adapt to different sea area environments, operation is easy and convenient, and a reliable basis is provided for offshore engineering design and sediment movement prediction.

The application discloses a method for suppressing ghost waves of a streamer based on frequency-slowness domain continuation and ghost wave parameter optimization. Considering that ghost wave parameters vary with time and space and affect the ghost wave removal effect, first, the marine seismic data is divided by using a sliding time window to reduce the influence of the time variation of the ghost wave parameters; the delay time and amplitude difference coefficient of the ghost wave and the primary wave are enumerated alternately; the data in the time window is continued by using a frequency-slowness domain wave field continuation operator, and then the original marine seismic data is added and subtracted by the continued record; the sum of the absolute values of the products of the new records obtained by operation is taken as the target, the optimal ghost wave delay time and amplitude difference coefficient are iteratively searched, and then the ghost wave is suppressed; after the data in each window is suppressed, all the window data are integrated into a complete record. The method can effectively suppress the ghost wave, widen the frequency band and improve the resolution of the seismic data.

The invention discloses a sea-gas interface momentum flux calculation method coupled with sea wave data, and relates to the technical field of marine atmospheric boundary layer flux observation, and the method comprises the steps: carrying out the threshold screening and wild point removal processing of turbulence flux elements needed by the calculation based on a vortex correlation method, and carrying out the coordinate rotation of a three-dimensional wind speed; processing the obtained sea surface fluctuation data to obtain a sea wave spectrum and a wave parameter, and calculating a combined field peak parameter Qp based on the sea wave spectrum; on the basis of the Monin-Obhoff similarity theory, the Monin-Obhoff length, the atmospheric stability and the wind speed U10 of 10 meters on the sea are calculated; based on the data, the friction speed is split into a wind speed item and a wave mixing item for fitting, and finally the momentum flux is obtained. According to the method, key data such as the wave period and the wave direction of the sea waves are coupled into a calculation system, the Hendan peak parameter is introduced to represent the sea wave state, the influence of the sea waves on the momentum flux is comprehensively considered, the calculation precision is improved, and meanwhile the requirement for an observation instrument is lowered.

This invention proposes an automated measurement and verification method for multi-source wave parameters based on neural networks. This method can quantitatively calculate and acquire wave elements, improving the accuracy of wave element measurement. The invention extracts video images frame by frame from nearshore monitoring videos, extracts the features of the buoy based on its motion state on the sea surface, and quantitatively calculates and acquires wave elements, mainly including effective wave period, effective wave height, and wave direction. Simultaneously, it acquires effective wave period, effective wave height, and wave direction information through the wave sensor built into the float, and calculates the wave direction using the float's Beidou module and anchor position. By comparing and verifying in-situ measurements from the float with non-contact measurements from a camera, the methods complement each other, improving the accuracy of wave element measurement.

The present application relates to the technical field of ocean observation, and discloses a GNSS wave inversion method for compensating dynamic draft deviation of a buoy, comprising the following steps: S1, GNSS high-frequency observation data acquisition and preprocessing stage; S2, buoy vertical dynamics modeling stage; S3, dynamic draft deviation characteristic analysis stage; S4, frequency domain response amplitude operator correction stage; S5, wave condition adaptive correction stage; S6, wave parameter inversion and quality evaluation stage; the present application establishes a buoy vertical inertia-buoyancy-damping dynamics model, quantitatively describes the relationship between the buoy dynamic draft deviation and the wave motion for the first time from the physical mechanism level, calculates the dynamic draft deviation amount by epoch, and compensates it into the GNSS measurement results, eliminates the systematic deviation caused by the buoy inertia effect, and reduces the inversion error of the significant wave height from 8% to 15% before correction to within 3%.

The application discloses a construction method and system for long-period sea wave height time sequence process at a berth in a port, and the method comprises the following steps: constructing a wave propagation model; obtaining a wave spectrum process curve of a typical group of a boundary of the model based on measured or reanalyzed long-time sequence wind wave data, so as to drive the wave propagation model; obtaining wave parameters at the berth based on the driven wave propagation model, and calculating a nonlinear fitting relationship between the wave parameters at the boundary and the sea wave height at the berth; and obtaining long-time sequence wave parameters at the boundary, and obtaining the gravity wave short wave and low-frequency long wave process of the long-time sequence sea wave at the berth based on the nonlinear fitting relationship and the long-time sequence wave parameters at the boundary. The application can quickly realize the long-time sequence process of low-frequency long waves and gravity short waves at any berth in a port, provide dynamic load conditions of the berth affecting ship movement, and provide basic wave conditions for evaluating ship operation loss days.

The invention relates to the technical field of wave making, in particular to a wave making method based on an underwater flat plate longitudinal pushing type wave maker. Wave surface equations of different wave surface positions are constructed according to the obtained geometric parameters of the wave maker and the motion parameters of the underwater flat plate; according to the input target wave parameter, determining the wave number of the target wave and the underwater flat plate amplitude required for generating the target wave; if the target wave is a regular wave, controlling an underwater flat plate to longitudinally move according to a simple harmonic motion rule according to the flat plate amplitude; and if the target wave is an irregular wave containing N angular frequency components, introducing a random phase, and driving the underwater flat plate to perform multi-frequency synthetic vibration according to the flat plate amplitude corresponding to each angular frequency component. According to the method, the wave surface equation of vertical movement of the two-dimensional underwater flat plate structure is derived based on the potential flow theory, and the transfer function is obtained by using the equation, so that accurate generation of regular waves and irregular waves can be realized through the underwater flat plate.

The application provides a method and system for determining the roll angle of a fishing ship under the action of waves, the method comprising: obtaining ship parameters of a target fishing ship and wave environment parameters of a target sea area; calculating dimensionless parameters according to the ship parameters and the wave environment parameters, the dimensionless parameters including relative ship speed, wave steepness, relative ship width and heading angle radian value; selecting a corresponding roll angle calculation model according to the length range of the target fishing ship; and substituting the dimensionless parameters into the selected roll angle calculation model to calculate the roll angle of the target fishing ship. The application can quickly and accurately calculate the roll angle of the fishing ship based on real-time sailing and wave parameters, realize risk warning and heading optimization, and significantly improve the safety and operation efficiency of the fishing ship sailing.

The invention discloses a self-adaptive rapid sea wave height simulation calculation method and device and a medium, and relates to the technical field of sea wave simulation calculation, and the method comprises the steps: obtaining a wave type and a wave parameter corresponding to a to-be-simulated wave; different processing strategies are adopted for different wave types to correct the initial grid matrix, and values are assigned to the corrected grid matrix; calculating a wave height matrix corresponding to the t moment based on the assigned grid matrix; executing a wave height processing process on the wave height matrix to obtain a final wave height matrix corresponding to the t moment; and when it is determined that t is smaller than the preset total duration T, t + dt is calculated, and the step of obtaining the wave parameters of the wave type corresponding to the to-be-simulated wave is executed. The method and the device are used for solving the problems of low simulation efficiency and low simulation result accuracy during sea wave height simulation in the prior art, the sea wave height simulation is adaptively and quickly completed, and the accuracy of the sea wave height simulation result is improved.

This application proposes a wave spectrum estimation method and apparatus based on dynamic dispersion factor, comprising the following steps: acquiring a continuous-time ADCP velocity sequence; acquiring the vertical velocity power spectrum based on the ADCP velocity sequence; acquiring the complex-valued frequency, wave number, and depth at different frequency points; using the complex-valued frequency, wave number, and depth corresponding to the same frequency point as a set of input vectors, and inputting multiple sets of input vectors in a batch manner into a pre-trained dynamic dispersion factor prediction model to obtain the dynamic dispersion factor; using the dynamic dispersion factor to correct the wave number at each frequency point to obtain the corrected wave number; and acquiring the wave spectrum of the ADCP velocity sequence based on the corrected wave number. This scheme uses complex-valued Transformer network modeling to predict the dynamic dispersion factor, thereby improving the accuracy of spectrum estimation and the stability of wave parameters under varying water depth conditions, providing better technical support for wave observation in complex waters such as nearshore and shallow waters.

The application discloses a ship motion inversion wave method and device based on a wave inversion model and a medium, relates to the technical field of wave inversion, and comprises the following steps: acquiring a wave inversion model corresponding to ship physical parameters of a current sailing ship and first ship motion response data corresponding to a preset time interval at a current sailing speed; calculating an average value of the first ship motion response data in the preset time interval to obtain target ship motion response data; and inputting the current sailing speed and the target ship motion response data into the wave inversion model to obtain wave spectrum output by the wave inversion model. The application is used to solve the problem that wave parameters of a sea area where a ship is located cannot be efficiently measured in the prior art, and achieves the purpose of efficient and accurate wave measurement with the ship.

The invention relates to the technical field of ocean, and provides a method and system for optimizing wave parameters based on inner and outer double-layer iteration. The method for optimizing the wave parameters based on inner and outer double-layer iteration comprises the following steps: constructing a wave model based on a wave mode taking a spectral energy balance equation as a core; the wave model comprises a plurality of empirical parameters and adjustment coefficients, namely to-be-optimized parameters, and then to-be-optimized parameter vectors are formed; searching an optimal parameter vector by using an inner and outer double-layer iterative optimization method, so that the error between the output wave data and the observation wave data of the wave model is minimum; the error between the output wave data and the observation wave data is represented by adopting a regularization error function, and the regularization error function is a normalized weighted mean square error introducing a priori constraint regularization term. According to the method, a wave model parameter optimization system with intelligent adjustment, closed-loop feedback and continuous evolution characteristics can be constructed, and the method can be widely applied to high-precision parameter optimization and automatic calibration of a wave mode.

The application is a wave absorbing device for an internal wave experiment water tank, belonging to the technical field of wave absorbing; comprising a water tank, a wave absorbing module, a buffer module, a power control module and a wave absorbing measuring instrument, the power control module is connected with the wave absorbing module through the buffer module; the wave absorbing measuring instrument is used to measure the related parameters of the waves in the water tank; the power control module is used to control the movement speed and direction of the buffer module; the buffer module drives the wave absorbing module to move; the wave absorbing module consumes the energy of the waves. The power control module controls the movement mode of the buffer module, and the wave absorbing mode of the wave absorbing module is adjusted in combination with the wave height, wave speed and other related wave parameters measured by the wave absorbing measuring instrument; the application has the advantages of simple operation, easy control, effective elimination of wave reflection, and is suitable for different types of water tanks and different wave states.

The invention provides a bulwark stress analysis method and system based on a large wave water tank, and relates to the technical field of water transportation engineering simulation tests. In order to solve the problems of poor stress analysis test scene coverage capability and poor analysis result precision in the prior art, the size of a wave water tank is determined according to actual wave parameters; specifically, the water tank is a large wave water tank with the length of 90 meters, the width of 3 meters and the height of 1.8 meters. A wave water tank is set to be a wave generation area and a wave absorption area, and a wave height measuring device is installed in the wave generation area; in the wave generation area, waves of various working conditions are generated, and initial wave parameters are measured according to a wave height measuring device; installing the breakwater model at a preset position of a wave generation area, and measuring wave parameters after the breakwater model is installed; and determining transmission coefficients of various working conditions according to the two wave parameters. The breakwater stress analysis method disclosed by the invention has relatively high scene coverage capability and relatively high analysis result precision.

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 provides a sea wave direction spectrum measurement method and system based on sea area actual measurement characteristics, and relates to the technical field of ocean observation. The method comprises the steps of obtaining a wave parameter set based on actually measured wave data of a target sea area; determining a direction concentration ratio parameter value through regression analysis, including generating an initial direction concentration ratio parameter through a segmented regression model based on deep water wave steep, and then performing calibration based on effective wave steep; performing parameter correction on the plurality of preset direction distribution models based on the direction concentration ratio parameter values to generate candidate direction spectrums; and selecting a target direction spectrum according to the closeness degree of the candidate direction spectrum and the historical actually measured direction spectrum. According to the invention, through actual measurement data driving and segmented regression calibration, the accuracy of directional spectrum measurement and the adaptability to sea area characteristics are improved.

The invention discloses a sea-gas interface momentum flux calculation method coupled with boundary layer meteorological conditions, and relates to the technical field of marine atmospheric boundary layer flux observation, comprising: performing threshold screening and outlier removal processing on turbulence flux elements required by vortex correlation method calculation, and performing coordinate rotation on three-dimensional wind speed; processing the obtained sea surface fluctuation data to obtain a sea wave spectrum and wave parameters; on the basis of the Monin-Obhoff similarity theory, the Monin-Obhoff length, the atmospheric stability and the wind speed U10 of 10 meters on the sea are calculated; based on the data, splitting the friction speed into a wind speed item and a wave mixing item for fitting, and finally obtaining momentum flux; on the basis of guaranteeing the flux calculation precision, the requirement for an observation instrument is lowered, accurate calculation of the momentum flux of the air-sea boundary layer is achieved, and the requirements for momentum flux data in the fields of marine meteorological research, weather forecast, marine resource development and the like are met.

The invention discloses a numerical calculation method for a ship maneuverability hydrodynamic derivative in waves, and relates to the technical field of hydrodynamic force, the method is based on coupling motion characteristics of a ship under a plane motion mechanism PMM dragging effect and a wave excitation effect, deep development is carried out for an open source CFD platform, and the ship maneuverability hydrodynamic derivative is obtained. On one hand, two bottom-layer algorithm architectures of a ship six-degree-of-freedom motion equation and a fluid dynamics control module are reconstructed, and on the other hand, PMM control equations of various PMM test types are implanted. Different wave parameters and different values of motion control parameters in each type of PMM control equation are combined and constructed to obtain working condition parameters of a plurality of test working conditions, and various types of PMM tests in waves are accurately simulated by using a CFD platform under various test working conditions; all maneuverability hydrodynamic derivatives of the ship under the influence of waves can be obtained by integrating simulation data in a data regression mode, and the accuracy and reliability are high.

The invention relates to the technical field of coast engineering protection, in particular to a beach erosion risk prediction method considering extreme storm conditions, comprising the following steps: S1, acquiring historical topographic data of a target beach and actually measured hydrodynamic data of historical storm; s2, on the basis of actually measured hydrodynamic data of historical stormy waves, performing statistical analysis to obtain wave parameters corresponding to extreme stormy wave conditions; s3, calculating the maximum climbing elevation of the wave on the beach; s4, downwards defining an effective erosion action range on the beach; s5, calculating to obtain the potential erosion amount of the beach shoulder under the extreme storm condition; and S6, according to the potential erosion amount of the beach shoulder and the beach stability parameters, generating an erosion risk level of the target beach. According to the method, the extreme storm parameters, the historical topographic data and the sediment characteristics are fused, the potential erosion amount of the beach is quantitatively calculated, the risk level is generated, and therefore scientific prediction and accurate division of the erosion risk of the beach are achieved.

The application provides a sea wave direction spectrum measurement method and system based on sea area measured characteristics, and relates to the technical field of ocean observation. The method comprises the following steps: obtaining a wave parameter set based on target sea area measured wave data; determining a direction concentration parameter value through regression analysis, including generating an initial direction concentration parameter based on a deep water wave steepness through a segmented regression model, and then calibrating based on an effective wave steepness; performing parameter correction on a plurality of preset direction distribution models based on the direction concentration parameter value to generate a candidate direction spectrum; and selecting a target direction spectrum according to the closeness of the candidate direction spectrum and a historical measured direction spectrum. The application improves the accuracy of direction spectrum measurement and the adaptability to sea area characteristics through measured data driving and segmented regression calibration.

The application relates to the technical field of marine engineering environment parameter calculation, and discloses a deepwater wave element calculation method suitable for long-period waves, which comprises the following steps: using global-scale ocean wave dynamics model output boundary wave parameters as boundary conditions; inputting the boundary conditions into a regional nearshore wave mathematical model to calculate and simulate parameters; comparing observed wave data with the simulated parameters, selecting a white cap dissipation coefficient with the minimum root mean square error, and feeding back the white cap dissipation coefficient to the model; using reanalysis wind field data to drive the regional nearshore wave mathematical model after the parameters are updated to generate a wave element set; extracting a wave element time sequence from the wave element set, screening and extracting annual extreme characteristic values according to a preset target period interval to generate an annual extreme sequence; fitting the annual extreme sequence by using a probability density curve, and outputting deepwater wave element return period extremes in combination with return period parameters. The application makes up for the defects of long-period swell energy loss in the open sea, and improves the accuracy of deepwater wave element extreme value calculation.