48 results about "Wave period" patented technology

The embodiment of the invention discloses an electric leakage detection method, device and equipment, a medium and a program product. Comprising the steps of obtaining a to-be-processed signal in an electric leakage judgment period; according to the to-be-processed signal, waveform peak points in the electric leakage determination period and peak left edge points corresponding to the waveform peak points are determined; determining every two adjacent peak left edge points as a peak left edge point group, and counting the total sampling number and the trough sampling number corresponding to each peak left edge point group; according to each total sampling number, each trough sampling number, a preset correction wave period sampling number lower limit value, a preset correction wave period sampling number upper limit value and a preset trough sampling number threshold value, determining a leakage waveform from correction waveforms corresponding to each peak left edge point group; and determining an electric leakage detection result according to the distribution condition of each electric leakage waveform in the electric leakage judgment period. The complexity and the data operand of a circuit required by electric leakage detection are reduced, and the stability and the universality of electric leakage detection are improved.

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.

This invention relates to the field of marine resource assessment technology, and particularly to a method and apparatus for refined assessment of marine wave energy resources. The method includes: acquiring wind field data, water depth and topography data, and boundary wave data of the target sea area to be analyzed; constructing a nested grid wave numerical model; based on the wave numerical model, obtaining wave elements for each moment within at least one complete climatic year, including significant wave height and wave period; based on the wave elements of the inner and outer grids, obtaining the target wave energy flux density corresponding to each inner grid; and based on the target wave energy flux density, obtaining the resource utilization rate, average wave energy flux density, significant wave occurrence frequency, and resource stability of each inner grid in the target sea area, thereby conducting a refined assessment of the wave energy resources of each inner grid in the target sea area. The above technical solution enables a refined assessment of wave energy resources in the target sea area, providing technical support for wave energy development.

The invention provides a dynamic Copula extreme wave energy prediction method based on wind speed covariant full-link driving. The dynamic Copula extreme wave energy prediction method is applied to safety evaluation of ocean engineering and a wave energy power generation system. Firstly, B-spline-logarithmic normal edge distribution with wind speed as a covariable is constructed through data preprocessing, and dynamic changes of wave height and wave period parameters along with the wind speed are described; secondly, selecting an optimal Copula function, coupling a Copula parameter with the wind speed through Logistic mapping, and establishing a dynamic dependency structure model; then, dividing a low wind speed interval, a medium wind speed interval and a high wind speed interval, and verifying the fitting precision of the model in each interval and extreme wave energy over-limit probability prediction performance; and finally, integrating edge distribution and dynamic Copula, and constructing a wind speed driven wave element joint probability prediction model. Compared with a traditional static model, the method can accurately capture the regulation and control effect of the wind speed on the wave height-wave period dependency relationship, remarkably improves the prediction accuracy of an extreme wave energy event, and provides reliable support for ocean engineering safety and wave energy power station operation.

The present application relates to the field of water traffic technology, and more particularly to a kind of pure battery power ship's voyage endurance optimization control method.The technical scheme includes: through the real-time acquisition of ship operation and sea state data by multi-sensor fusion, energy change model under the action of wave potential energy and tidal kinetic energy is constructed, energy envelope curve reflecting the cooperative relationship between battery energy and external energy is generated, central control system dynamically adjusts propelling power and rudder angle according to the curve, energy-saving navigation matching with wave period is realized, when detecting continuous wave rising section, intermittent propelling mode is triggered, so that ship body glides with the help of wave potential energy to reduce energy consumption, and the system uses self-learning algorithm to combine historical navigation and real-time sea state data to iteratively optimize control parameters.The present application successfully converts marine environment from resistance source to boost force by integrating environmental perception, energy modeling, intelligent decision-making and cooperative control, and realizes the improvement of pure battery power ship's voyage endurance capability.

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 semi-submerged platforms, and discloses a transverse supporting structure and a semi-submerged platform, the transverse supporting structure comprises two transverse supporting pieces which are arranged in the transverse direction of the semi-submerged platform and arranged in the longitudinal direction of the semi-submerged platform at intervals, and the two transverse supporting pieces are located between two stand columns of the bow or the stern of the semi-submerged platform; each transverse supporting piece is used for being connected with two stand columns of the bow portion or the stern portion of the semi-submersible platform. The heaving plate is arranged between the two transverse supporting pieces and connected with the two transverse supporting pieces, and first reinforcing ribs are arranged on the heaving plate. According to the cross arm structure, the heaving, rolling and pitching periods of the semi-submerged platform can be prolonged, resonance, equipment damage and the like caused by the fact that the inherent period of the semi-submerged platform is close to the wave period are avoided, the motion response of the semi-submerged platform is reduced, and the seakeeping performance of the semi-submerged platform is improved.

The application discloses a pressure type wave measuring instrument metering calibration device and method, relates to the technical field of hydrological measuring instrument calibration, and comprises the following steps: a wave simulation device drives a lifting platform to make periodic lifting movement according to a set wave height and a wave period, wave height measurement values of the pressure type wave measuring instrument and water depth measurement values of an echo sounder are collected; the water depth measurement values are converted into water depth standard values according to a correction value fitting function of the echo sounder; wave height standard values are calculated from the water depth standard values of each period, and an arithmetic average value is obtained as a standard wave height; the wave height measurement values are subjected to arithmetic averaging, and the difference between the arithmetic average value and the standard wave height is a wave height indication error. The lifting platform is driven to move again, a time interval corresponding to adjacent wave crests or troughs collected by the pressure type wave measuring instrument is taken as a wave period measurement value, a time interval corresponding to adjacent movement turning points of the lifting platform is taken as a wave period standard value, arithmetic average values are respectively obtained, and a difference value is taken as a wave period indication error.

The present application relates to the technical field of research on the interaction between ocean engineering structure and wave, in particular to a method for predicting wave slamming pressure distribution of shallow-submerged circular-arc bottom section ocean engineering component, comprising: obtaining wave slamming pressure data of the circular-arc bottom section ocean engineering component and extracting pressure envelope, establishing spatial coordinates along the direction of the structure bottom plate, adopting double Gaussian function and linear function superposition to construct component pressure distribution model, determining model parameters through nonlinear fitting, and predicting wave slamming pressure spatial distribution according to the fitting result. μ 1, μ 2The present application can effectively reflect two main pressure peak values existing in the actual wave slamming process through the superposition form of double Gaussian function, can clearly locate the potential slamming hotspot area of the structure bottom, and can be applicable to different wave periods and structure clearance conditions through parameter calibration, and can provide more reliable wave load prediction basis for ocean structure design.

The invention relates to the technical field of ocean engineering and renewable energy sources, and discloses a back wave water inlet type oscillating water column structure based on long wave reduction and energy extraction, which comprises a wave absorption main body, a support, a pile foundation and a turbine generator set with an air turbine, and further comprises an arc-shaped moving door, the two arc-shaped moving doors are connected into an interlayer of the wave absorbing body in a sliding mode, and a back water inlet matched with the two arc-shaped moving doors is formed in one side of the wave absorbing body. Water level modulation caused by the phase difference between the liquid level fluctuation of the cavity and the liquid level fluctuation outside the cavity is formed to reduce waves. According to the technical scheme, wave response optimization under different wave periods can be achieved by synchronously adjusting the size of the water inlet, the energy extraction efficiency is improved, the wave transmissivity is reduced, and the device is suitable for various layout forms of offshore and open sea areas and has the good wave adaptability and the integration characteristic of wave reduction and energy extraction.

The application discloses a wave field reconstruction method, which comprises the following steps: firstly, obtaining a standardized space-time data set, the data set containing effective wave height, average wave period and wave direction; then, constructing a low-rank joint wave feature subspace according to the data set; after obtaining sparse observation data and constructing an observation matrix and an observation vector based on the observation data, performing sparse regression on each variable of the data set based on the feature subspace, the matrix and the vector, obtaining a preliminary spatial distribution result of each variable, then performing Gaussian weighted fusion smoothing according to the distribution result, obtaining a preliminary reconstruction result, then determining the dynamic weight of each variable based on the reconstruction result, and optimizing the preliminary reconstruction result according to the weight, obtaining a target reconstruction result. The embodiment of the application can effectively reconstruct a high-resolution wave field under limited observation conditions, improve the reconstruction accuracy, simplify the calculation process, adapt to complex data scenarios, and quickly output high-quality results.

The application discloses a kind of sea-air interface momentum flux calculation methods of coupling sea wave data, it is related to marine atmospheric boundary layer flux observation technical field, including the threshold value screening of required turbulent flux elements based on the calculation of eddy correlation method, outlier processing is handled, and three-dimensional wind speed is rotated to coordinate;The sea surface undulation data obtained are processed to obtain sea wave spectrum and wave parameter, and based on sea wave spectrum calculation Q p ; Based on the theory of Monin-Obukhov similarity, Monin-Obukhov length, atmospheric stability and 10-meter sea wind U 10 ; Based on the above data, the friction velocity is divided into wind speed term and wave mixing term for fitting, and finally the momentum flux is obtained. The application couples the wave period, wave direction and other key data of sea wave into the calculation system, introduces the Q p peak parameter to represent the sea wave state, fully considers the influence of sea wave on momentum flux, improves the calculation accuracy, and reduces the requirement for observation instrument.

The application discloses a wave energy resource quantity accounting method and device, medium and product, relates to the field of wave energy development, and comprises the following steps: constructing a wave numerical model based on measured wave data and environmental data; performing numerical simulation analysis by using the wave numerical model; calculating the wave energy flow density of each grid node in the accounting sea area according to the effective wave height and the average wave period of each grid node in the accounting sea area; determining the boundary grid unit where the boundary is located and a group of boundary grid nodes around the boundary according to the boundary of the accounting sea area; determining the wave energy flow density actually transmitted into the accounting sea area of the boundary grid nodes according to the wave energy flow density at the boundary grid nodes and the included angle between the wave propagation direction and the normal vector of the midpoint of the corresponding grid boundary line segment pointing to the inside of the accounting sea area; determining the total wave energy power of the accounting sea area according to the wave energy flow density, and accounting for the wave energy resource quantity. The application can improve the accuracy and scientificity of the wave energy resource quantity accounting of the sea area.

The invention discloses a seabed erosion and deposition risk assessment method and device. The method comprises the following steps: acquiring underwater topographic data, hydrological observation data and seabed sediment data of an engineering sea area; according to the hydrological observation data and the underwater topographic data, calculating to obtain a hydrodynamic condition by utilizing a tidal current numerical model and a wave numerical model; wherein the hydrodynamic conditions comprise tidal flow velocity, tidal cycle, wave height and wave cycle; inputting seabed sediment data into the trained sediment starting model, and outputting to obtain sediment starting conditions; wherein the sediment starting condition comprises a starting flow rate and a starting wave height; and carrying out risk grade division on the engineering sea area according to the underwater topographic data, the hydrodynamic condition and the sediment starting condition to obtain a seabed erosion and deposition risk assessment result. According to the seabed erosion and deposition risk assessment method and device provided by the invention, the accuracy of seabed erosion and deposition risk assessment is improved, the risk grade index is clearly quantified, and engineering practice can be directly guided.

The application discloses a kind of coastal wetland ecological restoration field sea current velocity profile data correction method and system.The method comprises the following steps: obtaining original data set, completing time resolution matching, sampling time synchronization, space position matching and measurement depth unification, and constructing target data set;Establish a six-dimensional abnormal data identification feature set, normalize it to a feature coefficient, identify and mark abnormal data;Construct a standardized flow rate matrix, and use the tidal weighted spatiotemporal linear interpolation method to interpolate the abnormal data;Construct an initial mathematical model for the whole profile adaptive correction containing wind speed, effective wave height, wave period and depth parameters, modify the model, and obtain the final sea current velocity profile data correction result using the modified model.The application significantly improves the accuracy and reliability of the buoy measured sea current velocity profile data, and provides accurate data support for coastal wetland ecological restoration.

The invention discloses a method for calculating a wave flow force shielding coefficient of a sea-crossing bridge pile group foundation, and belongs to the technical field of pile group foundation wave flow force research. The method comprises the following steps: making a bridge pier, a bearing platform and a pile group foundation in a scaling-down manner, simulating an application scene and installing in a test wave pool; irregular waves are generated in the test wave pool through a wave maker, and the wave height and period of the waves in the test model are simulated; the water depth, the wave height, the wave period, the pile diameter and the pile distance in the test wave pool and the wave flow force borne by the pile foundation are measured respectively; and a wave flow force shielding coefficient calculation formula is provided based on analysis of the on-way change rule of the pile foundation wave flow force shielding coefficient. Compared with a calculation method in the current specification, the calculation method provided by the invention provides convenience for single pile stress re-checking calculation in the pile group, the calculation precision is improved, the cost increase caused by too conservative engineering design calculation is avoided, and the engineering construction cost is effectively saved.

The invention relates to a multi-point measurement system and a multi-point measurement method for water tank waves, and belongs to the technical field of fluid mechanics measurement and optical detection. In order to overcome the defects that in the prior art, equipment is expensive, light path adjustment is complex, and low-cost and convenient multi-point synchronous measurement is difficult to achieve, the multi-point measurement system for the water tank waves comprises a water tank, a calibration plate with a regular angular point array is arranged at the bottom of the water tank, and image recording equipment is fixedly arranged above the water tank. The image recording equipment is located right above the calibration plate, the height of the image recording equipment can ensure that the image recording equipment can just record the range of the whole calibration plate, a wave maker for generating waves is installed in the water tank, and the image recording equipment is connected with a computer; the measurement system is simple in structure and low in cost, and the method for performing multi-point measurement by the measurement system not only can accurately measure the water depth and wave period parameters of multiple points of the wave surface, but also can adapt to variable measurement environments, and has important practical significance and application value.

The invention discloses a sea wave parameter intelligent inversion system and method based on a sea wave induced magnetic field, and the system comprises a signal collection module which obtains a multi-component magnetic field signal in real time from an electromagnetic collection station disposed on the seabed; the data preprocessing and feature construction module is used for carrying out denoising and normalization processing on the original signals; the convolutional neural network modeling and training module is used for realizing frequency domain feature learning of the signal based on a CNN algorithm; and the inversion and dynamic updating module is used for completing prediction output of the significant wave height and the significant wave period of the sea waves, automatically triggering model retraining after receiving new observation data, and performing adaptive adjustment on network parameters to realize dynamic optimization and continuous updating of the model. The invention aims to overcome the problem of insufficient adaptability of the existing sea wave observation means under complex sea conditions and extreme meteorological conditions, and provides a non-contact, all-weather and high-continuity novel technical approach with autonomous learning ability for ocean dynamic environment monitoring.

The invention provides a wave wall with an active anti-seismic and anti-wave function and a using method, and belongs to the technical field of wave walls. Comprising a pile foundation block, a manger board placed on the ground on the left side of the pile foundation block and two supporting grooves formed in the ground on the right side of the pile foundation block, a first base is placed on the manger board, a second base is connected to the top face of the first base through a damping spring, third electromagnets are fixed to the upper contact face and the lower contact face of the first base and the second base, and a mass block is placed on the top face of the second base. First electromagnets are fixed to the adjacent faces of the manger board and the pile foundation block and the mass block, and second electromagnets are fixed to the positions, corresponding to the first electromagnets, of the side wall of the mass block. A third electromagnet, a first base and a second base are arranged, when an earthquake is monitored, the mass block is made to suspend and isolate the earthquake, the first electromagnet and the second electromagnet are arranged, the magnetic force is adjusted according to the wave period frequency and the force, balance with the wave force is achieved, a flow guide plate, a pressure pipe, a hydraulic rod mechanism, a supporting assembly and a buffering assembly are arranged, and the anti-overturning stability of the pile foundation block is improved.

This application discloses a method, apparatus, device, and medium for adjusting the angle of a ship's satellite antenna, belonging to the field of marine equipment. It includes: determining the calculation period of ship sensing data based on wave height data of the waters where the ship is located, and acquiring ship sensing data according to the calculation period; identifying whether the ship sensing data meets preset trigger conditions; if it does, acquiring wave period data of the waters where the ship is located, and calculating the theoretical elevation and theoretical azimuth angles of the satellite antenna at the maximum port and starboard tilt of the ship using the ship sensing data; generating a calibration command for the satellite antenna, and adjusting the angle according to the theoretical elevation and theoretical azimuth angles and the wave period data. This technical solution, by determining the theoretical elevation and theoretical azimuth angles based on ship sensing data and adjusting the angle according to the wave period data, achieves real-time and precise angle adjustment of the satellite antenna, ensuring that the satellite antenna is always aligned with the satellite direction, thereby guaranteeing signal quality.

The present application relates to the technical field of renewable energy development, and discloses a power generation power short-term prediction method and control system of a wave energy power generation device, comprising the following steps: collecting core original parameters affecting the power generation power of an OWC wave energy power generation device; screening out basic parameters which have a greater influence on the power generation power and have a lower correlation with each other; identifying the key parameters which have the most significant influence on the power generation power; improving the corresponding weight in the power generation power prediction algorithm according to the sensitivity quantization result of the key parameters, and constructing a personalized prediction model suitable for the OWC wave energy power generation device; and predicting the power generation power change trend of the OWC wave energy power generation device in the next 3-7 second wave period. Through the screening of the core original parameters and the identification of the key parameters, the technical effect of accurately locking the high-influence and low-coupling parameters is achieved, and the problems of high prediction model complexity, low operation efficiency, and prediction accuracy interference by irrelevant parameters caused by parameter redundancy are solved.

The invention discloses a floating type offshore photovoltaic array attitude monitoring and overturning early warning method and system, belongs to the technical field of ocean engineering monitoring, and aims to solve the technical problems of inaccurate attitude monitoring and delayed overturning risk early warning caused by the action of waves and gust of a floating type photovoltaic array in a dynamic ocean environment. Comprising the following steps: acquiring floating body dip angle attitude data, a wave direction spectrum and gust wind speed marine environment data of the whole array in real time, dynamically determining a current inherent rolling period by continuously monitoring free oscillation response under non-extreme excitation and performing spectral analysis, and constructing an overturning risk index; a first-level early warning threshold value and a second-level early warning threshold value are dynamically set according to the current inherent rolling period, the threshold values are lowered when the wave period is close to the inherent period, and a first-level early warning signal or a second-level early warning signal is generated by comparing the real-time risk index with the threshold values. The method is mainly used for real-time safety monitoring and overturning risk early warning of the floating type offshore photovoltaic array, stable operation of a photovoltaic power station is guaranteed, and major accidents are prevented.

This invention provides a Bayesian-CNN-based method for predicting seabed slope instability under the influence of seabed groundwater drainage, belonging to the field of marine engineering geology. Addressing the difficulty of existing models in quantifying the nonlinear dynamic evolution of slope instability under the coupled effects of seabed groundwater drainage (SGD) and multiple factors such as waves, this invention constructs a multi-parameter dataset including water depth, wave height, wave period, salinity, turbidity, SGD rate, and erosion depth through in-situ observations. A safety factor Fs is calibrated using a fluid-structure interaction mechanism as a supervisory label. The feature vectors are reconstructed into 3×3 matrices and input into a convolutional neural network. Bayesian optimization is introduced to automatically adjust hyperparameters, and 3×1 convolutional kernels are used to extract features. Probabilistic prediction is achieved through Dropout layers and Monte Carlo sampling to quantify uncertainty. A weighted mechanism for key time periods is introduced into the loss function to enhance the identification of critical instability states. This invention achieves high-precision prediction, providing reliable support for marine engineering geological environment assessment.

This invention belongs to the field of wind turbine technology, specifically a method for determining the suitable submersion depth of a fully submersible floating wind turbine. Addressing the problem that existing methods lack sufficient consideration and fail to fully leverage the performance advantages of fully submersible platforms, the following solution is proposed, comprising the following steps: S1: Conducting a series of wave period tests at different submersion depths. Based on the coupled nonlinear time-domain motion equations of the wind turbine-support platform system, calculating the platform's heave response, and determining the critical wave period. The critical wave period is the period threshold at which the heave motion no longer changes significantly with increasing wave period. This eliminates the need for tension legs to ensure the stability of the fully submersible platform, while simplifying the platform structure and reducing manufacturing costs. Through phased testing, the suitable submersion depth can be accurately determined. Under extreme sea conditions, the maximum pitch value and standard deviation are reduced by 42.51% and 35.88%, respectively, significantly improving operational stability and providing a reliable basis for the design of 10MW-class fully submersible wind turbines.

The invention provides a Bayesian-CNN (Convolutional Neural Network)-based method for predicting the instability of a seabed slope under the drainage action of seabed groundwater, and belongs to the technical field of ocean engineering geology. Aiming at the problem that an existing model is difficult to quantify slope instability nonlinear dynamic evolution under the coupling action of multiple factors such as submarine groundwater drainage (SGD) and waves, the method comprises the following steps: constructing a multi-parameter data set comprising water depth, wave height, wave period, salinity, turbidity, SGD rate and erosion depth through in-situ observation; and a fluid-solid coupling mechanism is combined to calibrate a safety coefficient Fs as a supervision label. The method comprises the steps that feature vectors are reconstructed into a 3 * 3 matrix to be input into a convolutional neural network, Bayesian optimization is introduced to automatically adjust hyper-parameters, features are extracted through a 3 * 1 convolution kernel, and probability prediction and quantification uncertainty are achieved through a Dropout layer and Monte Carlo sampling. And a loss function introduces a key period weighting mechanism, and instability critical state identification is enhanced. According to the method, high-precision prediction is realized, and reliable support is provided for ocean engineering geological environment assessment.

This invention provides a regional wave measurement system and method based on a wave glider and monocular vision, belonging to the field of ocean wave observation technology. The method includes the following steps: installing an airborne sensor, an airborne computing unit, a monocular camera, and a single-point wave measurement unit on a wave glider platform; calculating single-point reference wave parameters; performing monocular vision-based sea surface image preprocessing and feature analysis; based on the single-point reference wave parameters, calibrating and scaling the amplitude and spectrum of the local sea surface wave field image information; fusing the single-point wave measurement and visual estimation results; and calculating the wave height, wave direction, wave period, and directional spectrum within the fused local sea surface wave field. This invention, based on a wave glider platform, combines high-precision single-point wave measurement with sea surface images acquired through monocular vision to achieve high-precision measurement of wave parameters within a certain area around the wave glider.

This invention belongs to the field of microwave radar image processing technology, and relates to a method for inverting significant wave height based on wave period. First, a significant wave height calculation model is established with the wave period as input. Then, microwave remote sensing images of the sea surface are acquired and preprocessed, such as coordinate transformation (e.g., images from shore-based sea observation radar and shipborne navigation radar) and noise suppression. Next, the wave period is inverted from the preprocessed images using spectral analysis techniques. Finally, the inverted wave period is substituted into the pre-established model to calculate the significant wave height. This invention, by introducing the wave period as a key intermediate variable, closely correlates image features with ocean wave physical parameters, overcoming the shortcomings of insufficient accuracy and stability in existing direct inversion methods. It provides a physically meaningful, highly accurate, and easily operational method for obtaining significant wave height.

This application provides a force simulation device and method for a floating platform carrying a drone payload. A first water tank with a first space containing a solution is placed on the platform, and a second water tank is placed within the first space and floats on the solution. By changing the draft of the second water tank, as well as the wave height, wave period, density, and viscosity of the solution, the force simulation of the floating platform under the influence of seawater wave load is achieved. Furthermore, the real-time position information of the payload collected by the data acquisition and transmission module guides the drone's landing. The simulation device proposed in this application is characterized by its simple structure, low cost, and ease of implementation. By achieving geometric similarity, Vlad number similarity, and Reynolds number similarity between the simulation device and the floating platform, the operating principle of the simulation device can closely approximate the actual situation, making the simulation method practical.

The present invention provides a mooring line for a tension mooring float, which can balance the tension generated in each tension mooring line without adjusting the length of each tension mooring line of each mooring line bundle supporting the tension mooring float, thereby preventing resonance with the wave period on the sea, by connecting a connection portion (5b) formed on the tension mooring float and a sea bottom mooring portion (9) fixed to the sea bottom (103) using a tension mooring line (7), thereby generating tension in the tension mooring line (7) by the buoyancy of the tension mooring float (5), the tension mooring float (5) being configured to be able to be maintained in a tension mooring state, a low-stiffness mooring line (7b) having a tensile stiffness obtained by multiplying the longitudinal modulus of elasticity and the cross-sectional area of the line material of the tension mooring line (7) and a high-stiffness mooring line (7a) having a higher tensile stiffness than the low-stiffness mooring line (7b) being connected via a connection member.