62 results about "Internal wave" patented technology

The invention belongs to the field of near-inertia internal wave modeling, and particularly relates to a near-inertia internal wave modeling method based on a reverse echo observation array, which comprises the following steps: arranging a reverse echo measurement device array in an observation area, and acquiring echo signals from the seabed to the sea surface; performing data cleaning and band-pass filtering on the signals, and extracting near-inertia internal wave signals; calculating the depth and the relative vorticity of a mixed layer by combining historical temperature-salinity data; calculating a wind input energy flux by using the wind stress data; calculating a net level energy flux by adopting a boundary integration method; judging whether the boundary energy flux influence is smaller than a threshold value or not, and if not, adjusting array layout; and finally establishing a multivariable linear model containing wind energy input, mixed layer depth, relative vorticity and energy flux. According to the method, the temporal-spatial resolution and prediction precision of near-inertia internal wave modeling are effectively improved, the problems that in a traditional method, the boundary effect is remarkable, and multi-factor comprehensive modeling is insufficient are solved, and the method is suitable for long-term efficient monitoring of a large-range marine environment.

The invention discloses a marine environment spring layer characteristic diagnosis data processing method, and aims at complex dynamic characteristics of a land frame edge sea spring layer to realize accurate diagnosis through multi-source data cooperation and an intelligent algorithm. The method comprises the following steps: acquiring and preprocessing field observation, remote sensing, sonar, terrain and tidal ocean current data; extracting spatio-temporal characteristics based on a CNN-LSTM hybrid network, and generating a dynamic spring layer threshold; fusing multi-source data by adopting an improved D-S evidence theory, and constructing a three-dimensional spring layer characteristic field; predicting an internal wave in combination with an attention mechanism model, and optimizing a preorder model by using sonar data. The method breaks through the limitation of a fixed threshold value, realizes spring layer dynamic identification, three-dimensional reconstruction and internal wave prediction, improves the diagnosis precision of a complex sea area, and provides key technical support for underwater detection, engineering safety and environmental research.

The invention discloses an internal wave electromagnetic response numerical simulation method based on a layered ocean model. The method comprises the following steps: acquiring geomagnetic field parameters; calculating distribution characteristics of seawater conductivity along with depth, and dispersing the distribution characteristics into a layered ocean conductivity model; an internal wave mechanical model is constructed, internal wave velocity field distribution is established through characteristic parameters of internal waves, and dynamic input is provided for electromagnetic field response calculation; substituting the internal wave velocity field and the geomagnetic field into a Maxwell equation set, and constructing an internal wave induction electromagnetic field control equation; and applying tangential electric field continuity and normal current continuity conditions on a layered interface, and performing discrete and iterative solution on an equation by adopting a finite difference method to obtain distribution characteristics of the electric field and the magnetic field at different depths and frequencies. According to the method, the problem of insufficient precision caused by a uniform conductivity hypothesis is solved, and application limitation caused by an ideal geomagnetic field hypothesis is avoided, so that accurate simulation of internal wave induction electromagnetic response under a complex ocean condition can be realized.

According to the method, a universe control equation set comprising a control equation, a free surface, upper and lower layer fluid interface continuity, structure-fluid interface continuity and fluid interface and seabed constraint conditions is constructed, and a vertical-horizontal decoupling modal analysis technology is combined, so that a multi-body radiation coupling model of the bottom-supported cylindrical array with relative motion between columns is provided; an intrinsic mode expansion technology is adopted to synchronously represent a joint radiation mechanism of a surface gravity wave and an internal wave, potential function space transformation and mode matching under a multi-column coordinate system are realized through a Graf addition theorem, and a radiation matrix coupling model considering a bottom-supported boundary constraint is constructed. According to the method, the wave-column coupling effect of the density layered interface can be accurately analyzed, a multi-column interference energy transfer path is quantified, and the modal truncation error is remarkably reduced.

The invention relates to the technical field of deep sea communication and ocean observation, in particular to a long-term stable real-time communication system based on domestic satellites under high sea conditions. Comprising a submerged buoy body, the submerged buoy body is provided with a communication floating body module, a multi-source domestic satellite communication module, a low-power-consumption control module and a data processing module which are electrically connected in sequence, and an intelligent sensing module and an underwater data access module which are respectively connected with the data processing module; the device further comprises a main floating body. The system can be widely applied to deep-sea subsurface buoy platforms, marine environment monitoring stations, deep-sea scientific investigation equipment and other scenes, realizes real-time transmission of hydrodynamic and biogeochemical multi-element synchronous observation data at the water depth of 0-6000 meters, and supports research on the dynamic process of isolated waves, near-inertia internal waves and the like in the ocean and safety guarantee of the marine environment.

The application belongs to the technical field of marine environment monitoring and early warning, and specifically relates to a multi-channel internal wave flow early warning system and an early warning measurement method, which comprises the following steps: a buoy body is fixedly arranged through a fixed anchor, and a marine profile comprehensive detection module synchronously collects multi-dimensional profile data such as flow velocity, temperature and salinity. A main control unit is embedded with a mixed driving early warning model, a phase velocity of an internal wave is solved based on a physical model, a nonlinear correction is performed through a machine learning residual correction module, a high-precision internal wave phase velocity is obtained, and then early warning time, shear flow and displacement amplitude are calculated and an alarm level is determined. Alarm information is redundantly sent to a shore station receiving system through a ground mobile communication link and a satellite communication link of a multi-channel communication module, and the shore station receiving system regularly updates the machine learning model by taking measured data as incremental samples. The application realizes high-precision and low-delay early warning of internal wave flow, has high communication reliability, and is suitable for marine engineering, underwater vehicles and safety guarantee of offshore operations.

This invention relates to the field of marine observation data processing technology, specifically a method for quality control and evaluation of real-time communication mooring data, comprising the following steps: data preprocessing to obtain preprocessed data; multi-dimensional anomaly identification of the preprocessed data, removing anomalies to obtain data to be verified; multi-node spatiotemporal synchronization verification of the data to be verified to obtain synchronized data; adaptive consistency verification of the synchronized data using an internal wave mode; checking the presence of internal wave data observation signals on the synchronized data after consistency verification; and data quality level evaluation. This invention solves the data deviation problem caused by resetting the coefficients of inductively coupled sensors, achieving dual quality control of real-time data and post-corrected data; it constructs a data quality evaluation system adapted to deep-sea real-time communication moorings, quantifies data quality levels, and provides a basis for data reliability in marine scientific research.

This invention discloses an intelligent identification and positioning method for ocean internal waves based on multi-source remote sensing imagery, belonging to the field of marine remote sensing technology. The key technical solutions include the following steps: determining the geographical location and time range of the target sea area; collecting multi-temporal high-resolution remote sensing image data from synthetic aperture radar (SAR) and optical satellite imagery; labeling the internal wave features of the preprocessed multi-temporal high-resolution remote sensing image data to generate ground truth images; using a trained deep convolutional neural network model to perform pixel-level analysis on the input remote sensing images to extract ocean internal wave features and generate binarized images of the internal wave features; and converting the extracted binarized images of the internal wave features into corresponding latitude and longitude locations based on the geographical location information of the original remote sensing images. This achieves high-precision geographic positioning of internal waves, is suitable for marine research and high-precision environmental monitoring, and has broad application prospects.

The application relates to a SAR image ocean internal wave stripe segmentation method, equipment and a storage medium, the method comprises the following steps: step S1, acquiring an ocean internal wave SAR image, and performing feature extraction on the ocean internal wave SAR image by adopting Gabor transformation to obtain a feature image; step S2, stripe segmentation is performed on the feature image by using a K-means clustering algorithm, the bright / dark stripes in the ocean internal wave are separated from the background, and the regions where the dark / bright stripes are located are automatically judged according to the inter-class difference; step S3, a minimum circumscribed rectangle of the bright / dark stripe contour is constructed, and the dark / bright stripe position is obtained by translating a set distance along the normal direction of the long side of the minimum circumscribed rectangle. Compared with the prior art, the method has better bright / dark stripe segmentation effect on the SAR image with strong ocean internal wave characteristics, can better identify the bright or dark stripe features with large differences from the background, and has the advantages of strong robustness and high accuracy.

This invention provides a porous wave-damping plate for aquaculture cages, specifically belonging to the field of wave-damping technology for aquaculture cages. It comprises a porous plate, wave-damping buoys, and a hollow cavity structure, forming a highly efficient energy dissipation system. The alternating openings on the surface of the porous plate allow waves to pass through. When waves impact the plate, seawater enters the hollow cavity and drives the internal wave-damping buoys to generate minute movements and collisions, thereby significantly reducing wave height and impact force. This directly protects the fish in the cage from the impact of violent water currents. The invention includes a plate body, which is detachably and fixedly installed on the outside of the cage. The plate body is a hollow plate-like structure with through holes on both the front and back sides, and the cavity of the hollow plate-like structure is filled with several wave-damping buoys for dissipating wave energy. It includes multiple plate bodies, which are spliced ​​together to form a wave-damping plate assembly. The upper end of the plate body is provided with a tenon, and the lower end of the plate body is provided with a mortise. Adjacent plates are interlocked and positioned by the tenon and mortise.

The present application belongs to the technical field of dynamic response prediction of marine engineering structures, and specifically discloses an intelligent prediction method for dynamic response of floating wind turbines under internal wave action. Firstly, the dynamic response prediction result given by the intelligent prediction model and the actual operating state of the wind turbine are obtained in real time, the error between the two is calculated and fed back to the control system, the control parameters such as the blade pitch angle are automatically adjusted according to the error and the size of the internal wave load to reduce the blade vibration. At the same time, the genetic algorithm is selected to optimize the control parameters, the objective function considering the power generation efficiency, structural safety and internal wave load is set, and the optimal parameter combination is found through selection, crossover, mutation and other operations. A real-time monitoring system is established to continuously collect internal wave and wind turbine operation data, and a trigger condition is set. When the condition is met, the control parameters are recalculated and adjusted according to the current data. The method focuses on real-time feedback and optimization control, effectively improving the operation stability and power generation efficiency of the floating wind turbine in complex marine environment.

The application provides a method and device for detecting oceanic internal waves in a marine SAR image and electronic equipment, wherein the marine SAR image sample is used to label the oceanic internal waves in the marine SAR image by using a rotating box, the rotating box is more fitted to the arc-shaped oceanic internal waves, and the rotating box contains less redundant information; when the oceanic internal wave detection model is trained, less marine SAR image samples are required, and the training time is short; in addition, the updated training data set is used to iteratively train the oceanic internal wave detection model in the training process, so that the training time is further shortened; and since the rotating box contains less redundant information, the accuracy of the finally trained oceanic internal wave detection model is good.

This invention discloses a semantic segmentation method for ocean internal wave stripes in SAR images, relating to the field of semantic segmentation of remote sensing images. The method model consists of an encoder and a decoder. The encoder comprises four Transformer modules, each containing a self-attention layer, a feedforward neural network, and an overlap patch merging module. Within each module, the input image is processed N times through a multi-head self-attention mechanism, and then the merging module generates feature maps at four scales. The decoder consists of three modules: a serpentine convolution, an EVC module, and an expectation-maximization attention network. The advantages of this invention are: the model fully utilizes the multi-scale fusion module, improving performance and robustness; the use of serpentine convolution can better extract features of linear shapes; and the use of the expectation-maximization attention network improves model accuracy while reducing computational complexity.

The invention provides an ocean internal wave parameter inversion method and system based on temperature chain buoy data. The method comprises the following steps: preprocessing an acquired multi-depth temperature sequence and then constructing a temperature-time profile; detrending and self-adaptive smoothing are carried out through empirical mode decomposition, and a temperature background field and a pulsating field are separated; extracting a vertical gradient of a temperature background profile by using LOESS local regression, and introducing Tikhonov regularization and threshold gating to guarantee gradient robustness; mapping temperature pulsation into vertical displacement based on isothermal surface conservation, and screening effective data in combination with a credibility index; finally, the amplitude, the period and the wave height of an internal wave are inversed through multi-window wavelet spectrum and Hilbert envelope conjoint analysis, and the reliability of a result is improved through vertical modal consistency verification. According to the method, consistent inversion of ocean internal wave parameters can be completed only by means of a single temperature chain buoy, and the inversion accuracy under the background of weak gradient, weak signal and noise is remarkably improved.

The invention relates to an ocean internal wave three-dimensional visualization method based on a high-temporal-spatial-resolution unstable flow field, and belongs to the technical field of computer vision and ocean fluid mechanics. According to the method, a GPU texture visualization technology is utilized, an internal wave data processing and feature extraction method is provided for vertical flow characteristics of ocean internal waves, and complex dynamic behaviors of the ocean internal waves in an unstable flow field are accurately displayed by highlighting a vertical velocity component W. Compared with a traditional method, the method has the advantages that the spatial and temporal change of high-resolution internal wave data can be reflected more truly, and the vertical flowing characteristics of ocean internal waves in a three-dimensional space can be clearly visualized. The technology is suitable for influence analysis of marine ecological and physical processes and artificial object motion trails, and helps researchers to deeply understand the influence of internal waves on marine fluid motion.

The invention discloses a high-resolution internal wave sound velocity field inversion method based on propagation time delay, relates to the technical field of ocean observation, and aims to solve the problem that fine changes of a sound velocity field under internal wave driving cannot be effectively captured in the prior art. And cumulative observation results at different times are equivalent to multiple groups of virtual nodes and virtual observation networks at the same moment, so that high-resolution inversion of an internal wave sound velocity field is realized, and fine changes of the sound velocity field driven by internal waves are effectively captured. The defect that satellite observation lacks deep information is overcome, and full-water-depth sound velocity field observation can be achieved.

The application discloses a kind of reconstruction method and system of marine internal wave three-dimensional structure, which comprises the following steps: obtaining multi-modal original remote sensing data and carrying out data perception to obtain multi-modal feature map;Obtain the physical characteristic vector of temperature-salinity profile and combine multi-modal feature map, carry out physical feature extraction and multi-scale modeling, obtain preliminary three-dimensional temperature-salinity profile and stratification parameter distribution;Three-dimensional structure reconstruction and uncertainty quantification are carried out on multi-modal feature map and preliminary three-dimensional temperature-salinity profile and stratification parameter distribution, to obtain the final full-water-depth three-dimensional grid field;Based on the final full-water-depth three-dimensional grid field, digital twin visualization and interaction are carried out, to realize internal wave three-dimensional structure reconstruction.The application can map two-dimensional sea surface observation signal to full-water-depth three-dimensional internal wave field with physical consistency.The application can be widely applied to the field of internal wave three-dimensional structure reconstruction as a kind of reconstruction method and system of marine internal wave three-dimensional structure.

The invention discloses a wave reduction type offshore photovoltaic array based on a wave reflection principle and a design method, and belongs to the technical field of renewable energy source development. Establishing a cylindrical buoy array frequency domain hydrodynamic model, calculating wave transmission indexes of different parameter combinations in the target wave period range, and determining candidate parameter combinations according to the wave transmission indexes; establishing a structural finite element model of the reflection unit group based on the candidate parameter combination, and performing strength check; a coupling dynamic model of the array structure and the mooring system is established, motion response and mooring stress are calculated, and judgment is carried out based on a preset criterion; outputting a reflecting unit group buoy array parameter combination meeting the requirement; the problem that the engineering construction and operation and maintenance cost is high due to the fact that an existing offshore floating photovoltaic array depends on external wave prevention / wave dissipation facilities in order to reduce the wave action is solved, and reduction of wave loads in the array and improvement of structural economy are achieved on the basis.

The invention belongs to the technical field of synthetic aperture radar (SAR) image processing, and discloses an underwater vehicle wake SAR image data generation method and system, and the method comprises the steps: respectively constructing an underwater vehicle wake model based on a computational fluid dynamics (CFD) method and a random sea surface model based on a sea wave spectrum model; performing linear superposition on the underwater vehicle wake model and the random sea surface model by adopting a VOF-spectrum coupling interpolation superposition method to obtain a composite sea surface simulation model; based on a composite sea surface simulation model, a dual-scale electromagnetic scattering model is adopted to calculate a backscattering coefficient, tilt modulation, fluid modulation and speed bunching modulation are introduced in sequence, and finally speckle noise is added to generate a wake SAR image. According to the method, the physical characteristics of the wave wake in the underwater vehicle can be simulated more accurately, and the physical authenticity and accuracy of wake generation are remarkably improved; a simulation result which is high in accuracy and has real SAR image statistical characteristics can be obtained, and the engineering application value is remarkably improved.

The invention discloses a wake detection model construction method based on frequency domain multi-scale perception, which relates to the technical field of ocean observation, is used for capturing weak wake features to carry out sea surface internal wave wake detection, and comprises the steps of constructing a wake image data set, constructing a wake detection model by taking an RT-DETR model as a baseline model, and constructing a multi-scale texture information selection network. A backbone network of the baseline model is replaced, a frequency domain multi-scale attention perception module is constructed, an AIFI module of the baseline model is replaced, a golden cudgel convolution down-sampling module is adopted to replace a standard convolution down-sampling module of the baseline model, training and optimization are performed on the wake detection model based on the wake image data set, and a target detection result is obtained. According to the method, the wake detection model AUVRT-DETR is constructed, the detection precision is improved while the advantage of light weight is kept, the optimal balance is achieved between the detection precision and the calculation efficiency, and the model parameter quantity and the calculation overhead are remarkably reduced while the highest detection precision is achieved.

The invention belongs to the technical field of remote sensing image semantic segmentation, and discloses a method for extracting an ocean internal wave from an SAR remote sensing image based on semantic segmentation, which constructs a semantic segmentation model for ocean internal wave extraction, and introduces a frequency domain-attention enhancement module in a model feature extraction stage. Response characteristics of different frequency components are modeled in a multi-scale hierarchy, so that the network can sense high-frequency slender textures, edge mutation information and low-frequency background structure information of ocean internal waves at the same time, and an attention guidance mechanism guides the network to actively focus a potential internal wave region in training. In a model form matching stage, morphological enhancement blocks are introduced aiming at geometrical characteristics with long and thin ocean internal waves and remarkable directionality, direction self-adaptive modeling is performed on the characteristics, and the model can effectively suppress background interference and maintain continuity and integrity of an internal wave structure in a step-by-step up-sampling process through series connection of a plurality of morphological enhancement blocks; and the boundary definition and the structure consistency of the segmentation result are improved.

The present application relates to the technical field of SAR image processing, and particularly relates to a sea internal wave SAR image texture enhancement method, device, equipment and medium, wherein the method comprises: acquiring sea internal wave SAR image real data to be enhanced; performing filtering and denoising on the sea internal wave SAR image real data to obtain a filtered image; extracting an image structure layer based on the filtered image; extracting an image texture layer based on the filtered image and the extracted image structure layer; enhancing the extracted image texture layer; and reconstructing an enhanced sea internal wave SAR image based on the image structure layer and the enhanced image texture layer. The present application can enhance the texture details of the sea internal wave SAR image according to the characteristics of the sea internal wave SAR image.

The application discloses a method for rapidly predicting hydrodynamic load of a sailing body under the influence of internal waves, and belongs to the technical field of hydrodynamic load prediction of the coupling of ocean internal waves and a sailing body. The method steps comprise the following steps: establishing a numerical model of the coupling of internal solitary waves and a sailing body; constructing a mapping relationship between time and spatial position, converting time-domain load data into spatial position load data; data preprocessing and division; constructing and training a polynomial chaos expansion model; calculating a prediction residual based on each load component predicted by the polynomial chaos expansion model; performing Gaussian process regression correction on the standardized prediction residual; superimposing the prediction value output by the polynomial chaos expansion model and the correction value to obtain a rapid prediction model of the hydrodynamic load of the sailing body; and load prediction and model verification. The application solves the technical problem of real-time prediction of the load of the sailing body under the influence of internal waves, and solves problems such as complicated steps, high time cost and poor timeliness.

The application belongs to the technical field of remote sensing image semantic segmentation, and discloses a method for extracting ocean internal waves from a SAR remote sensing image based on semantic segmentation, which constructs a semantic segmentation model for extracting ocean internal waves, introduces a frequency domain-attention enhancement module in the model feature extraction stage, models the response characteristics of different frequency components in the multi-scale level, so that the network can simultaneously perceive the high-frequency fine and long texture, edge mutation information and low-frequency background structure information of the ocean internal wave, and the attention guide mechanism guides the network to actively focus on the potential internal wave area in the training. In the model morphology matching stage, a morphology enhancement block is introduced for the geometric characteristics of the ocean internal wave, such as the fine and long directionality, the direction adaptive modeling of the characteristics is carried out, through the series connection of multiple morphology enhancement blocks, the model can effectively suppress the background interference in the process of step-by-step upsampling, maintain the continuity and integrity of the internal wave structure, and improve the boundary definition and structure consistency of the segmentation result.

According to the method, a multi-modal analytical model with the effects of surface waves and internal waves is established aiming at the density stratification phenomenon caused by gravity settlement and solar radiation heat effect in ocean engineering; a three-dimensional layered fluid global control equation set is constructed, a hyperbolic function combined vertical characteristic function piecewise expression is adopted to accurately characterize fluid bimodal propagation characteristics, a double-layer fluid bimodal dispersion equation is combined, a multi-body coupling matrix equation is introduced to process an inter-column wave scattering effect, and a multi-body coupling matrix equation is introduced to process the inter-column wave scattering effect. Cylindrical wave function coordinate transformation is realized by applying a Graf addition theorem, and a hydrodynamic integral expression containing additional mass and radiation damping is constructed based on a modal superposition principle. According to the method, the limitation of a traditional single-layer fluid model is broken through, the wave interference energy distribution rule under the surface wave-internal wave combined action is quantitatively analyzed, and the radiation force calculation precision and the engineering prediction applicability of the dense cylinder array in the complex marine environment are remarkably improved.

A method for calculating the vibration effects of arbitrarily undulating strata belongs to the field of wave propagation analysis in complex sites. Its main principle is based on the wavefield separation principle, decomposing the free wavefield of an irregularly undulating site into a known free wavefield of a regular site (w) and a scattered wavefield to be determined. The difficulty in solving the complex wavefield components is transformed into an internal wave scattering problem. Furthermore, based on the concept of an isolator, a substructure of the stratum boundary is constructed to calculate the equivalent effect of the scattered wavefield in the boundary region of arbitrarily undulating strata. This invention can calculate the wave field of a foundation with arbitrary undulating strata under the incident vibration wave, and accurately describe the non-uniform propagation characteristics of site waves.

The application belongs to the technical field of marine resource development, and is a calculation method for vortex-induced vibration of a deep-sea mining riser under the action of internal waves. According to wave parameters such as the wave amplitude and wavelength of the marine internal waves, the velocity and acceleration distribution characteristics of the flow field are determined to provide load input for the calculation of vortex-induced vibration of the deep-sea mining riser. The marine internal wave flow field has significant particularity, which is different from uniform flow and typical shear flow, and is a kind of non-uniform shear flow. Based on the particularity of the marine internal wave flow field, the vortex-induced load distribution on the deep-sea mining riser under the action of the improved traditional wake oscillator model is obtained. In view of the geometric nonlinearity problem caused by the large slenderness ratio of the deep-sea mining super-long riser and the weak constraint characteristics of the deep-sea mining riser, the rigid body displacement and elastic deformation of the riser are separated and calculated by using the co-rotational coordinate method, so as to improve the calculation efficiency to meet the actual engineering requirements, and form the calculation method for vortex-induced vibration of the deep-sea mining riser under the action of the marine internal waves.

This invention provides a method and system for correcting moving internal waves based on seawater acoustic imaging, relating to the field of seismic oceanography. The method includes: Step S1: acquiring raw seismic exploration data of internal waves in the water body; Step S2: obtaining received signals through simulation calculations using the raw data, and performing moving internal wave acoustic imaging of the water body using the received signals; Step S3: extracting characteristic parameters of internal waves in the water; Step S4: correcting the moving internal wave acoustic imaging of the water body based on the characteristic parameters. This invention enables the acquisition of the wave velocity of internal wave groups over long distances using high-sensitivity medium-resolution optical images, correcting the moving internal wave sea acoustic imaging method, and extracting true characteristic information such as the wavelength, width, and amplitude of internal waves.

The invention provides an internal wave physical model test method and device based on visual identification, electronic equipment and a storage medium. The method comprises the following steps: constructing a mapping relation between image coordinates and physical coordinates; acquiring an internal wave propagation image sequence and converting the internal wave propagation image sequence into a hue-saturation-brightness space; extracting a color threshold according to the reference image and performing wave surface region segmentation to obtain upper and lower boundary contours; image distortion correction is completed by using the relation between the image and the physical coordinates; based on a convolutional neural network identification model, extracting geometric parameters of a waveform and complementing and optimizing a wave surface curve; generating a smooth waveform through Fourier transform filtering processing; analyzing a waveform evolution process, and estimating an internal wave propagation parameter and an upper and lower layer flow velocity difference. Therefore, the method has the advantages of high identification precision, good space continuity and high automation degree, and is suitable for rapid identification of internal wave features and physical parameter extraction in the visual water tank test.

The invention relates to the technical field of ocean internal wave monitoring, and discloses an internal wave inversion method and system based on high-frequency tide level data and satellite remote sensing fusion, and the method comprises the steps: S1, collecting SAR satellite remote sensing data, five-minute sampling interval tide level data, and CTD density profile data, and carrying out the preprocessing; s2, performing space-time alignment on SAR satellite remote sensing data, 5-minute sampling interval tide level data and CTD density profile data; s3, variational mode decomposition is adopted, the preprocessed five-minute sampling interval tide level data are decomposed, and internal wave characteristic modes and the like are screened; according to the method and the system, the spatial resolution of high-precision inversion of multiple parameters such as amplitude, period, propagation speed, direction and energy dissipation is improved to ten meters, the time resolution is optimized to be within one day, the amplitude measurement precision is improved to 0.1 meter, and the method and the system are remarkably superior to the internal wave amplitude measurement precision and the time resolution of an existing SAR satellite.