486 results about "Sea waves" patented technology

The invention provides a multi-source data fused SAR sea surface significant wave height deep learning inversion method, and belongs to the technical field of remote sensing ocean, and the method specifically comprises the steps: preprocessing buoy data, and obtaining sea wave significant wave height data observed by a buoy; acquiring dual-polarization single-view complex SAR data collected in an interference wide-width mode; preprocessing the SAR data, and taking significant wave height data obtained by buoy observation as a label of the SAR data; acquiring auxiliary data corresponding to the SAR data, wherein the auxiliary data comprises wind speed, wind direction data, rainfall data and OCN data; and constructing a multi-source data-fused SAR significant wave high-depth learning inversion model, training the multi-source data-fused SAR significant wave high-depth learning inversion model, and testing and verifying the trained model by using the test set and the verification set to obtain a final significant wave height inversion result. According to the method, the SAR data inversion capability of the model is improved.

The invention discloses a large-scale regional sea wave rapid forecasting method and device based on data driving, and the method comprises the steps: obtaining multi-source marine physical environment data of a target sea area, and generating a standard physical field data flow with unified temporal-spatial resolution; constructing a multi-channel space-time input tensor containing wind field driving information, terrain boundary information and historical wave state information; the difference between the predicted wave height and the real wave height is minimized through a back propagation mechanism, so that a trained wave height prediction model is obtained; receiving latest wind speed field data output by a real-time observation or numerical forecasting mode, and outputting a sea wave significant wave height prediction field at a future target moment; the device is used for implementing the method. According to the technical scheme of the method provided by the invention, through a physical lag alignment mechanism, the time delay of transmitting wind energy to wave energy is accurately captured, and the modeling precision is improved; and meanwhile, rapid deduction of a large-scale sea wave field is realized based on deep learning, and high accuracy and high timeliness are achieved.

The invention discloses a geometric constraint fitting point cloud filtering method for sea surface three-dimensional reconstruction, and belongs to the technical field of computer vision and three-dimensional reconstruction. The objective of the invention is to solve the problem of insufficient subsequent three-dimensional reconstruction precision caused by interference of reflection noise, mismatching points and the like in sea surface point cloud. The method specifically comprises the following seven steps: firstly, acquiring sea surface original point cloud through three-dimensional data acquisition equipment; a filtering technology is adopted to obtain a to-be-fitted point cloud; fitting a quadric surface through an improved RANSAC (Random Sample Consensus) algorithm to solve an initial parameter; constructing a comprehensive error function, and optimizing the model through gradient descent; effective inner points are screened through quadratic term coefficient constraint and a distance threshold value; and finally, iterating until a termination condition is met, and outputting an optimal effective point cloud. The method is high in noise rejection rate, the point cloud fits the sea surface form, and high-quality data support can be provided for sea surface fitting, sea wave simulation and unmanned ship control.

The invention discloses a significant wave height two-stage space-time prediction method and system based on diffusion residual correction, and relates to the technical field of sea wave prediction, historical significant wave height data and corresponding historical wind field data are input into a significant wave height space-time prediction model for processing, and a preliminary significant wave height prediction result is obtained; and inputting the initial prediction error, historical significant wave height data and synchronous forecast wind field data into a residual error correction module based on a diffusion model, and compensating the initial prediction error to obtain a final significant wave height prediction result. A diffusion model based on an EDM framework is innovatively introduced to carry out refined reconstruction on a prediction residual error, and a basic prediction field, a synchronous wind field dynamic factor and a prediction aging code are used as multi-dimensional physical strong conditions to be injected into a diffusion generation process. According to the method, high-frequency texture details and non-linear fluctuation components missed by the first-stage model can be certainly recovered, long-term deviation accumulation is relieved to a certain extent, the high-wave region prediction quality is improved, and the prediction stability is improved.

The invention discloses a dynamic feature and physical gating fused wave height prediction system and method, belongs to the technical field of artificial intelligence and machine learning, is used for marine environment monitoring, and comprises a data acquisition and preprocessing module, a feature screening module and a model prediction module. The method comprises the steps of obtaining and preprocessing marine meteorological variable data, constructing a Shapley additive interpretation lightweight gradient elevator regression model to screen a core variable set, constructing a physical guidance gating feature perception Transform prediction model, constructing a mixed loss function constraint prediction model, and outputting a sea wave significant wave height prediction value after prediction model training is completed. According to the method, through a feature screening and dynamic weight distribution mechanism, the utilization efficiency and scene adaptability of multi-source marine meteorological features are remarkably improved, the method can be flexibly expanded to sea wave prediction tasks of different sea areas and spatial-temporal scales, and high-precision and high-reliability technical support is provided for ocean engineering, shipping safety and disaster early warning.

The invention discloses an electromagnetic field simulation method under the coupling action of tidal waves and sea waves. The method comprises the steps that input parameters of the tidal waves and the sea waves are set; configuring environmental parameters and geomagnetic conditions; superposing the tidal wave velocity field and the sea wave disturbance velocity field to form a total velocity field; the tidal wave part and the sea wave part are linearly coupled in time and space to obtain a tidal wave-sea wave coupling field evolved along with a tidal phase; in the tidal wave-sea wave coupling field, electromagnetic response calculation is executed on each frequency-direction sampling point; general field synthesis and modulation effect analysis: introducing a tidal wave modulation factor to clearly reflect amplitude periodic change and spectrum reconstruction characteristics of an electromagnetic field signal along with a tidal phase; and outputting a time sequence, an amplitude spectrum and a spatial distribution result of the comprehensive electromagnetic field. According to the method, the authenticity and applicability of sea wave induction electromagnetic field simulation can be improved, and a new technical means is provided for electromagnetic noise recognition, sea wave parameter inversion and complex ocean dynamics process research.

A method of training a machine learning model to predict seafloor ripple geometry that includes receiving one or more input values, each input value based on an observation associated with ocean wave and seafloor conditions, and preprocessing the one or more input values. The method includes generating a training data set based on the preprocessed data set, splitting the training data set into a plurality of folds, and training via stacked generalization the machine learning model by performing a cross validation of each fold of training data based on at least one deterministic equilibrium ripple predictor model and on at least one machine learning algorithm. The method may include generating via the trained machine learning model, a set of one or more seafloor ripple geometry predictions, and performing Bayesian regression on the set of one or more seafloor ripple predictions to generate a probabilistic distribution of predicted seafloor ripple geometry.

The application discloses a polymer repair mortar for marine concrete and a preparation method thereof. The polymer repair mortar comprises dry powder mortar and a composite modified polymer. The dry powder mortar comprises 525 cement, an expanding agent, high-activity metakaolin, sand, a water reducing agent, a defoaming agent, latex powder and modified polypropylene fibers. The composite modified polymer comprises water-based epoxy resin, graphene, sodium hydroxymethyl cellulose and amide modified hydrogenated castor oil. The dry powder mortar and the composite modified polymer are mixed uniformly to obtain the polymer repair mortar. The polymer repair mortar improves the impermeability and impact resistance of the repaired marine concrete. The composite modified polymer can form a dense waterproof protective film on the surface of the mortar, effectively reducing the influence of the dry-wet cycle of the sea, chloride ion corrosion and the impact of sea waves. In addition, the adhesion between the repair mortar and the marine concrete matrix is further improved.

The invention relates to a pressure sensing inverse echo measurement LSTM short-time sea wave significant wave height prediction method, and belongs to the technical field of marine environment parameter inversion and marine dynamics observation. The method comprises the following steps: firstly, preprocessing multi-source observation data, and matching and integrating data from different sources; establishing a model, and improving the performance of the model by adjusting the structure and parameters of the model; and finally, evaluating the precision of the model, and verifying the precision and stability of the model in a complex environment. According to the method provided by the invention, a plurality of long and short-term memory network layers are combined with a plurality of full-connection layers to realize hierarchical fusion of time features, so that the prediction precision of the significant wave height of the short-term sea wave is improved, and important data support is provided for the directions of ocean dynamics, environmental evaluation and the like.

The utility model discloses an aquaculture net cage truss main structure which comprises a base platform structure and a truss structure, and the base platform structure is provided with a stand column structure. The base platform structure is provided with a buoyancy tank assembly and a support reinforcing structure; the base platform structure and the buoyancy tank assembly form a rectangular frame structure. The base platform structure and the buoyancy tank assemblies are arranged to form the rectangular frame structure to guarantee the strength of the main structure of the aquaculture net cage truss, the supporting reinforcing frames are arranged in a matched mode to form various supporting structures, the impact resistance of external force such as wind and sea waves is improved, and the overall stability is improved; the buoyancy tank assembly composed of the first buoyancy tanks and the edge buoyancy tanks is used for improving the adjustable efficiency of lifting, preventing the situation of deviation and toppling and improving the stability of lifting, when one of the buoyancy tanks breaks down, only the faulted buoyancy tank needs to be replaced, and the maintenance efficiency and cost are reduced.

The invention relates to a stabilization self-adaptive control method and device based on double gyroscopes, and the self-adaptive control method comprises the steps: constructing a real-time updated'sea wave-ship-double gyroscope 'coupling dynamic model, and introducing the online identification of ship rolling parameters; physical limit, damping, maximum torque and other constraints of the double-gyroscope executing mechanism are explicitly written into a control law; the two gyroscopes are symmetrically arranged and opposite in precession direction, so that yawing torques are mutually counteracted and rolling torques are superposed, and the stabilization efficiency is improved; adaptively selecting PID according to the rolling amplitude, the sea condition uncertainty and the working state of the actuator, and adaptively switching the fuzzy adaptive PID and the model prediction control strategy; calculating a control instruction based on the selected strategy and the updating model, and performing physical constraint processing such as torque saturation and angle amplitude limiting; and outputting a safety instruction to drive the gyroscope to generate stabilization torque. The method can adapt to different working conditions, and the efficient and stable active stabilization performance and stabilization effect are kept under the multiple working conditions.

The invention provides a WaveWatch III and U-Net-based global wave numerical forecasting system and a significant wave height intelligent correction network construction method. The method comprises the steps of mode input, WaveWatch III source code downloading, model output, significant wave height intelligent correction network construction and the like. The method has the beneficial effects that the forecasting precision of the WaveWatch III model in all sea areas in the world is remarkably improved, particularly the forecasting capability under extreme sea wave conditions is improved, and more accurate and stable scientific basis and technical support can be provided for global marine environment monitoring, disaster early warning and coping strategy formulation.

The invention relates to the technical field of data analysis, and discloses a parameterization analysis method and system based on a sea wave spectrum mode. The method comprises the following steps: carrying out abnormal value detection and missing data filling on multi-source ocean data by adopting a 3 sigma criterion and Kriging interpolation, and unifying to a 0.1-degree grid to obtain a standardized data set; decomposing a sea wave energy balance equation source item into three modules for numerical calculation; configuring ST2, ST4 and ST6 schemes for the numerical solutions, and carrying out statistical analysis to obtain performance evaluation indexes; based on the evaluation indexes, a genetic algorithm is combined with particle swarm optimization to carry out parameter optimization; dividing the offshore China into four sub-regions for differential adjustment according to the optimization parameters; and carrying out trend checking and parameter increment updating by adopting a sliding window technology based on region configuration. The technical problems that a sea wave spectrum mode parameterization scheme lacks a systematic comparison and optimization mechanism, parameter configuration cannot adapt to regional marine environment differences, and parameters lacks real-time monitoring and dynamic adjustment capabilities are solved.

The invention belongs to the technical field of microwave radar image processing, and relates to a wind wave significant wave height inversion method based on a wind wave period, which comprises the following steps: firstly, establishing a significant wave height calculation model taking the wind wave period as input; then, acquiring a sea surface microwave remote sensing image, and performing coordinate transformation, such as preprocessing of a shore-based sea observation radar image, a shipborne navigation radar image, noise suppression and the like; thirdly, inverting a wind wave period from the preprocessed image through a spectrum analysis technology; and finally, substituting the wind wave period obtained by inversion into a pre-established model, and calculating to obtain the significant wave height. According to the method, the wind wave period is introduced to serve as a key intermediate variable, the image features and the sea wave physical parameters are closely associated, the defect that an existing direct inversion method is insufficient in precision and stability is overcome, and an effective wave height obtaining means which is clear in physical significance, high in inversion precision and easy to popularize in a business mode is provided.

The embodiment of the invention provides a sea wave prediction method and device. The method comprises the steps that sea information parameters of a target sea area are acquired; determining a stability parameter of the corresponding sea area according to the ocean information parameter; according to the stability parameter, a corresponding wind stress correction coefficient is determined for the current sea area through the relation between the stability parameter and the wind stress correction coefficient; and correcting a wind stress parameter in a sea wave prediction model according to the wind stress correction coefficient, and outputting corresponding sea wave prediction information through the sea wave prediction model. According to the sea wave prediction method provided by the invention, the stability parameter is introduced to represent the influence of the atmospheric stratification stability on the sea wave growth, and compared with an existing sea wave prediction method, the sea wave prediction accuracy is improved.

The invention belongs to the technical field of ship electric propulsion, and particularly relates to a ship electric propulsion dual-mode control system with a multi-redundancy architecture, and the system comprises the steps: firstly, accurately obtaining the actual rotating speed and electromagnetic torque of a motor through a sensor group with redundancy configuration and two-out-of-three voting logic; secondly, calculating load disturbance intensity by utilizing time domain difference analysis, and calculating the deviation between the actual torque and the theoretical hydrodynamic torque in combination with a propeller characteristic coefficient, so as to generate a load anomaly index; generating a dynamic flexible factor with a damping characteristic based on the index by using a Sigmoid function and low-pass filtering logic; and finally, carrying out weighted fusion on output instructions of the rotating speed mode and the torque mode according to the factor. According to the method, normal acceleration and sea wave disturbance can be accurately distinguished, smooth seamless switching between a static water speed stabilization mode and a severe sea condition machine protection mode is achieved, and control oscillation and mechanical damage are effectively avoided.

An ocean wave and tidal current energy conversion system includes a first vessel and a second vessel, the first vessel being parallel and spaced apart from the second vessel. The first and second vessels include supports that receive cylinders that rotate from ocean waves and currents to create hydraulic oil pressure via hydraulic cylinders. The hydraulic oil in the energy conversion system is pumped into a pressure accumulator that removes hydraulic surges and operates an electric generator. The electric generator may power an electrolysis batch system for the production of hydrogen that fills each vessel with hydrogen gas.

This invention provides a method, apparatus, and device for generating marine meteorological data, relating to the field of data processing technology. The method for generating marine meteorological data includes: acquiring identification observation data and numerical simulation data of marine meteorological observation data; interpolating the numerical simulation data onto a preset target grid to generate interpolated wind field data; generating corrected wind field data based on the interpolated wind field data and the identification observation data; generating simulated ocean wave data based on the corrected wind field data; generating corrected ocean wave data based on the simulated ocean wave data and the identification observation data; and encoding the corrected wind field data and the corrected ocean wave data into target marine meteorological data. This invention achieves the fusion of autonomous observation data and numerical simulation data, and efficiently generates high-precision auxiliary meteorological data that meets the input requirements of marine satellites.

The application provides a sea wave effect generation method, device and equipment and a storage medium. The method extracts a position curve of a sea wave edge in multiple frames of sea wave pictures; generates corresponding sea wave animation maps based on the extracted position curve; determines performance parameters when playing the sea wave animation based on the sea wave animation maps, and renders each pixel point on a beach model to obtain corresponding sea wave effects. The sea wave animation maps obtained actually only contain coordinate information of the sea wave edges of the multiple frames of pictures. Compared with existing maps, the maps greatly reduce the resource amount of devices occupied, thereby reducing performance overhead when subsequent application resources are called, and improving operation efficiency.

This utility model relates to a flexible automatic anti-surge device for a ship unloader. It solves the problems in existing technologies where ship unloaders are easily damaged by wave forces and their material handling accuracy is easily affected. It includes a vertically arranged support frame with a horizontal boom at its upper end. One end of the horizontal boom is rotatably equipped with a ship unloader material handler, and the other end has a counterweight. One end of the ship unloader material handler has a flexible buffer mechanism. A steel cable adjustment assembly is connected to the horizontal boom, and a pressure-sensitive linkage control assembly is installed inside the ship unloader material handler. The advantages of this utility model are: it can absorb the additional force caused by wave surges, thereby effectively achieving energy absorption, ensuring the smooth operation of the entire ship unloading process, and avoiding mechanical damage caused by excessive force or external impact.

The invention discloses a forward modeling simulation method for a multidirectional sea wave induction electromagnetic field. The method comprises the following steps: expressing energy distribution of different propagation directions and frequency components through a spectral function; setting external environment input required by forward modeling according to the seawater depth and geomagnetic field parameters of the research area; after parameter setting is completed, electromagnetic response calculation is carried out on each frequency-direction sampling point; component response is called on a preset frequency set and a preset direction set, linear superposition is carried out by adopting a frequency direction correspondence method, and a total electromagnetic field is obtained; and outputting time sequences and frequency spectrum results of the wind wave induction electromagnetic field, the surge induction electromagnetic field and the mixed wave induction electromagnetic field, thereby providing a reference basis for noise analysis, background interference suppression and target signal identification in electromagnetic detection. According to the method, the limitation of a traditional model is broken through, the electromagnetic interference characteristics under the complex sea condition are represented more truly, and reliable support is provided for noise suppression and target recognition in electromagnetic detection.

The application discloses a nearshore disaster-bearing body disaster-causing path tracing method based on digital-analog experiments, relates to the technical field of ocean dynamic disaster simulation, determines the ocean dynamic disaster characteristics of a nearshore research area, integrates multi-source historical disaster data, real-time monitoring data and disaster-bearing body background data, and constructs a time-space correlation database; based on a three-dimensional ocean and a third-generation sea wave model, a nearshore storm surge-sea wave coupling numerical model is established and verified. Through the construction of the storm surge-sea wave coupling numerical model, the present application comprehensively considers the nonlinear interaction of multiple disasters, introduces an energy conservation equation to quantify the generation, transmission and dissipation process of disaster energy, solves the limitations of traditional single-disaster linear models, and combines the real-time feedback of the three-dimensional dynamic model of the disaster-bearing body to form a closed energy-damage correlation mechanism, significantly improves the tracing accuracy of the disaster chain propagation path, and ensures that the identification of key nodes and dominant paths is more consistent with physical reality.

This invention proposes a method for observing ocean waves based on a binocular camera, belonging to the field of image processing technology. The method includes: S1: The binocular camera captures ocean wave images, generating ocean wave point cloud data at the current time t; S2: The ocean wave point cloud data in S1 is converted to ocean wave point cloud data in a geodetic coordinate system; S3: The ocean wave data in S2 undergoes quality screening and optimization, including: selecting the region of interest, quality screening, converting noisy data points to null values, null value filling, and Gaussian filtering; the quality screening classifies the ocean wave data into three levels: excellent, good, and poor; S4: Based on the excellent and good quality ocean wave point cloud data, the wave height, wavelength, and period at that time are calculated; S5: S1-S4 are repeated to obtain multiple frames of ocean wave point cloud data at different times, and the effective wave height, wavelength, period, and wave spectrum are calculated. This method can fill in null values, making the overall data more reasonable and the obtained elevation data more accurate.

This invention provides a double-layered annular wave-damping aquaculture reef, comprising a main body of the reef, which includes a first ring made of concrete. Four reef bodies are evenly arranged within the first ring. Each reef body includes a circular base plate, the edge of which is located at the bottom of the first ring. A second ring is also located inside the first ring, with the bottom of the second ring above the circular base plate. An 8-shaped baffle is provided on the outer wall of the second ring, facing the first ring and located on the upper surface of the circular base plate. The end of the baffle abuts against the top of the first ring. A square aquaculture frame is located in the center of the second ring, with the four reef bodies positioned around the frame. The height of the second ring is greater than that of the first ring. This invention, by placing reef bodies within the ring, not only reduces the impact of waves on the reef but also provides a refuge for fish.

The invention relates to the technical field of ship mounting equipment, and discloses a modular mechanical mounting structure for a ship deck, which comprises a wharf, and a slot is formed in one side, close to a ship body, of the top of the wharf; the ship body fixing base is connected with the lower portion of a ship side boarding opening, a springboard for personnel and micro-cargo to move up and down is arranged on the ship body fixing base, and the end, away from the ship body fixing base, of the springboard extends to the position above a wharf. The positions, close to the wharf, of the two sides of the ship body fixing base are fixedly connected with hinge connecting bases used for being connected with the hinged traction device. By adding and arranging the board body swinging stabilizing mechanism, when the ship docking personnel springboard is used, the mechanism can rapidly absorb and dissipate swinging energy through reverse damping torque generated by high-viscosity damping liquid on a universal inertia swinging ball according to the phenomena of high-frequency small-amplitude swinging, flutter and structural resonance of the springboard caused by sea waves, and the swinging energy is dissipated through the reverse damping torque generated by the high-viscosity damping liquid on the universal inertia swinging ball; swaggling superposition amplification is effectively restrained, and violent shaking of the springboard is avoided.

The present invention provides a hot-rolled steel sheet for building structures, comprising a base layer, a corrosion-resistant layer, and an interfacial transition layer located between the base layer and the corrosion-resistant layer. The hot-rolled steel sheet of the present invention has a yield strength of ≥350 MPa, a tensile strength of ≥490 MPa, a yield-to-tensile ratio of 0.71 to 0.80, an impact energy of ≥190 J at -40°C, a corrosion resistance rate of ≤0.006 mm / year from sea spray, an interfacial transition layer thickness of ≤10 μm, and an interfacial shear strength of ≥252 MPa, and can be used to manufacture structural components suitable for sea spray environments. The present invention also provides a method for manufacturing the hot-rolled steel sheet.

The application belongs to the technical field of marine environment expansion, and discloses a shipborne radar sea wave perception domain expansion method and system based on deep learning, which constructs a sea wave perception domain step-by-step expansion model, uses a sea wave perception domain expansion submodule to realize spatial feature modeling and limited range expansion of local observation data, and gradually deduces larger range sea wave field information through a step-by-step expansion and residual connection mode; meanwhile, a sea wave continuity constraint mechanism is introduced to apply continuity constraints at the junction of the expanded sea area and the original observation sea area, so that the overall wave field can maintain high accuracy and spatial continuity in a large range. Through the shipborne radar sea wave perception domain expansion method based on deep learning, the real-time perception ability of the shipborne radar to a large range of sea areas in the local environment can be significantly improved, the independent operation of the ship in the marine environment is supported, and the real-time sea wave perception ability of the ship navigation safety and the marine engineering application is significantly improved.

The application discloses a multilayer sinusoidal wave closed-loop sea wave water pressurizer, which comprises a sea wave water pressurizer body, wherein the sea wave water pressurizer body comprises a float part, a vertical main shaft rod and a plurality of sinusoidal wave water pressurizer disc groups; the vertical main shaft rod is arranged at the bottom of the float part; the plurality of sinusoidal wave water pressurizer disc groups are sequentially arranged on the vertical main shaft rod from top to bottom and are located below the float part; and two adjacent sinusoidal wave water pressurizer disc groups are communicated with each other. Since the ocean waves move in the form of up-and-down waves, the whole sea wave water pressurizer body can also move up and down under the action of the ocean waves; the plurality of sinusoidal wave water pressurizer disc groups in the sea wave water pressurizer body suck in seawater and pressurize the seawater under the action of the ocean waves, and then the seawater is delivered outward through tail pipes, so that long-distance delivery is realized, and external power is not consumed, which meets the green and environmental protection requirements.