97 results about "Significant wave height" patented technology

The invention provides a fusion inversion method and device for a sea wave significant wave height field. The method comprises steps as follows: acquiring a significant wave height field which is acquired by a spaceborne radar height gauge and comprises substellar point sea wave significant wave height data as well as a sea surface wind field which is acquired by a spaceborne microwave scatterometer and comprises wide swath sea surface wind speed data; performing conversion calculation processing on the acquired sea surface wind field according to the wind wave growth relation between sea surface wind speeds and sea wave significant wave heights, and obtaining a wind wave field having the same swath as the sea surface wind field; performing correction processing on the wind wave field according to the acquired significant wave height field, and obtaining the sea wave significant wave height field having the same swath as the sea surface wind field; providing the sea surface wind field with wide swath, high precision and high spatial resolution through the spaceborne microwave scatterometer, converting the sea surface wind field acquired by the scatterometer into the wind wave field according to the wind wave growth relation, performing correction processing on the wind wave field through the significant wave height field of the height gauge, and finally, obtaining the significant wave height field with wide swath, high precision and high spatial resolution.

The invention provides a comprehensive platform with a floating type full concrete structure with an underwater storage tank for well drilling, well workover, production, public use and household. The platform has 12 different modes, and each mode consists of a liquid storage system, supporting legs, an upper facility and an anchoring leg positioning system. The platform not only has a series of characteristics and advantages, such as SPAR platform heavy draught, small waterplane area, higher center of buoyancy than center of gravity, platform natural period more than the wave period corresponding to once-in-a-century significant wave height and the like, has the function of liquid (oil) storage, and maintains the draught depth of the platform in the process of oil storage and discharge operation unchanged. The platform matched with a single-point or multi-point anchoring device can form a complete development system for production, well drilling, well workover, storage and outward transportation of offshore petroleum and natural gas; the platform not only can be used for development of an offshore large and deepwater oil-gas field with long production life, but also can be used for a small and deepwater oil-gas field with short production life, in particular the development of a marginal oil-gas field. After development of the oil-gas field is finished, the platform can be transferred and reused conveniently.

The invention provides a method for modeling a sea wave significant wave height inversion model based on particle swarm optimization (PSO) self-adaptive piecewise linear fitting, and belongs to the technical field of sea wave parameter inversion. The method comprises the steps of performing outlier removal processing on data, performing sparsification processing on the data, initializing parameters in a particle swarm, initializing a particle speed, updating the particle speed, updating particle displacement and the like. According to the method for modeling the sea wave significant wave height inversion model based on self-adaptive piecewise linear fitting, the wave height is subjected to inversion by utilizing a particle swarm optimization, so that the function of a conventional algorithm can be realized, the precision of the conventional algorithm is achieved, and more precise wave height inversion can be performed; and moreover, when the number of the pieces in the method is more than or equal to two, the modeling precision is higher than that of a conventional modeling method. The inversion model modeled by the method has higher inversion precision compared with the inversion model modeled by the conventional method, and moreover, the method for modeling a sea wave significant wave height inversion model based on PSO self-adaptive piecewise linear fitting is wide in applicability and high in flexibility.

The invention discloses an ocean wave parameter extraction method based on an SFS technology. According to the Lambertian scattering law, relations between the relative echo intensity and the incident angle, the direction slope and the distance slope are derived, the SFS technology and transformation formulas of polarization direction angles caused by the direction slope and the distance slope of the ocean surface are combined to solve slope values of pixels of the ocean surface, and a direction slope spectrum and a distance slope spectrum are obtained respectively by using fast Fourier transform. Spectral peak positions are searched, wave number vector information is acquired, 180-degree ocean wave direction blur is eliminated, ocean wave propagation directions are determined, the wavelength is calculated according to relations between the wave number and the wavelength, the ocean wave period is solved through ocean wave dispersion relations, and the significant wave height is calculated by the average slope and the wavelength. According to the ocean wave parameter extraction method, ocean wave spectrum inversion can be performed without a modulation transfer function, parameters such as the ocean wavelength, the period, the significant wave height and the ocean wave direction can be extracted, and the method is applicable to images acquired by high-frequency radars.

The invention provides a method and a device for measuring ancient wind power on the basis of a process for quantifying the thicknesses of longshore sand bars. The method includes determining the depths of breaker water on crests of the longshore sand bars according to preliminarily acquired slope of bases of the longshore sand bars and the preliminarily acquired original thicknesses of the longshore sand bars; determining the heights of breaker waves according to the depths of the breaker water and known Goda curves; determining the heights of effective waves in deepwater areas according to the heights of the breaker waves and known statistical characteristics of waves; computing wind pressure coefficients according to ancient wind paths and the heights of the effective waves in the deepwater areas by the aid of wave forecast formulas for water in limited wind districts; determining the speeds of the ancient wind power according to the wind pressure coefficients and known relational expressions of the wind pressure coefficients and wind speeds. The method and the device have the advantages that the ancient wind power can be determined according to the thicknesses of the longshore sand bars and accordingly can be accurately quantitatively restored.

The invention discloses a device for acquiring inversion significant wave height and relative elevation in a delay mapping receiver, which comprises a direct signal acquisition, tracking and module, a two-dimensional correlation computation module, a significant wave height computation module and a relative elevation computation module. In the invention, a frequency domain processing method is used for processing a direct digital intermediate frequency signal DDIF and a reflected digital intermediate frequency signal RDIF to obtain two-dimensional correlation values CDCo and CRCo, and two-dimensional correlation power values PDCo and PRCo of the satellite direct signal and sea reflected signal; an interference complex field processing method is used for processing CDCo, CRCo and epsilon to obtain the sea surface significant wave height SWH; and a peak value following processing method is used for processing PDCo, PRCo and epsilon to obtain a relative elevation H from delay mapping receiver to sea surface.

A significant wave height and wave period parameterization method comprises the following steps that 1. buoy data of five fixed buoy stations of JMA, satellite height meter significant wave height hs provided by AVISO and 1 degree * 1 degree reanalysis grid point data of sea surface 10 m wind speed are obtained, wind speed at observed height is converted into 10 m height wind speed U10, average wave height and an average wave period are converted into significant wave height hs and a significant wave period Tp; 2.based on a data mining technology, according to the proportion of 2 : 1 : 1, the five fixed buoy stations and data of height meter grid point information are divided into a training set, a verifying set ad a testing set, and data obtained through a 44008 station are only divided into a verifying set and a testing set according to the proportion of 1 : 1; and 3. the significant wave height parameterization method is established and verified.

The invention relates to a short time trend predicating method for a sea wave significant wave height based on reanalysis data. The method is characterized by comprising the following specific steps that firstly, data of the sea wave significant wave height based on the reanalysis data and data of sea level pressure are collected; secondly, a sea level pressure matrix and a significant wave height matrix are built; thirdly, the anomaly of the SLP and the standard deviation of the anomaly are calculated; fourthly, main composition analysis is conducted on the anomaly of the SLP; fifthly, Box-Cox conversion is conducted on the data of the sea level pressure and the data of the sea wave significant wave height; sixthly, predicating factors of the sea wave significant wave height are obtained through calculation; seventhly, the predicating factors are substituted into a predicating model, and the optimal predicating factor is selected for predicating with F-statistics; eighthly, the short time trend of the sea wave significant wave height is calculated; ninthly, the value of the sea wave significant wave height is restored and stored into a lattice point mode file; tenthly, a short time trend chart of the sea wave significant wave height is drawn. According to the short time trend predicating method, the multi-time short time trend of the sea wave significant wave height can be forecasted, and the accuracy of forecasting the short time trend of the significant wave height is high.

The invention discloses a sea wave height prediction method and system based on a deep learning model, and relates to the technical field of ocean prediction, and the method comprises the following steps: obtaining the picture data of the sea wave height; preprocessing the picture data of the sea wave height, and taking the preprocessed picture data of the sea wave height as a training data set; constructing a sea wave significant wave height data prediction model, inputting the training data set into the sea wave significant wave height data prediction model for deep learning training until preset precision is reached, and obtaining an optimal prediction model; and carrying out sea wave significant wave height prediction through the optimal prediction model, and carrying out reverse normalization on a prediction result to obtain a prediction value of the sea wave significant wave height. According to the method, the defects of large calculation amount, high cost, incapability of rapid prediction, dependence on feature engineering and the like in the existing prediction technology can be overcome, and then low-cost rapid and accurate prediction is realized.

The invention relates to a wave scatter diagram chunking equivalent method for time domain fatigue analysis. The method comprises the following steps: describing the long-term sea state distribution condition of a certain sea area by utilizing a wave scatter diagram and grouping a plurality of adjacent sea states in the wave scatter diagram in a manner of chunking so as to form a single equivalent sea state; calculating an equivalent zero-crossing period of the equivalent sea state according to a principle that the wave surface average zero-crossing rates are equal; and calculating a zero order moment of an equivalent sea state wave spectrum according to a principle that the wave energy of the equivalent sea state is equal to that of the chunking sea state and further calculating an equivalent significant wave height of the equivalent sea state according to the obtained zero-crossing period of the equivalent sea state and the zero order moment of the wave spectrum. According to the method provided by the invention, structure fatigue strength assessment is carried out by replacing the abundant original sea states by less equivalent sea states, and the aim of increasing the efficiency is achieved through decreasing the sea state computing number, so that the computing efficiency can be greatly improved while the fatigue life evaluation precision is ensured, and relatively higher practical engineering application value is provided.

The invention discloses a shipborne GNSS-R-based significant wave height inversion method and system. The method comprises the following steps: obtaining direct signals and reflection signals of a Beidou navigation satellite and a GPS navigation satellite; carrying out frequency conversion, frequency mixing, A/D conversion and DSP processing on the obtained direct signal and the reflection signalso as to generate a time delay Doppler DDM atlas of the navigation satellite reflection signal and an interference complex field ICF atlas of the reflection signal; establishing an ICF-based effectivewave height inversion model by processing and analyzing reflection signals of Beidou and GPS navigation satellites, and calculating effective wave height data according to an interference complex field ICF model of the reflection signals; giving different weights to inversion data of the significant wave height inversion model and inversion data of the inversion model based on the signal-to-noiseratio SNR so as to construct a parameter adaptive hybrid model, and completing adaptive change adjustment of model parameters so as to determine significant wave height inversion model.

The present invention relates to a method for detection of a sea level wave height through adoption of an S-waveband Doppler radar. The method comprises: the step 1, employing an S-waveband Doppler radar to obtain a sea echo Doppler spectrum, extracting the center frequency of the obtained N-frame Doppler spectrum, obtaining a center frequency sequence, and obtaining a measured radial speed sequence according to the Doppler effect; the step 2, removing an average value for the vertical speed measured by the radar, and performing discrete Fourier transformation and Modulo square to obtain a speed spectrum; the step 3, according to the linear wave theory, obtaining the conversion relation of the speed spectrum and a sea wave spectrum, and obtaining the sea wave spectrum; the step 5, according to the mathematic relation between the efficient wave height and the sea wave spectrum, employing the spectral moment method to obtain the wave height; and the step 5, employing the zero-moment singular value removal method to allow the abnormal efficient wave height to recover normality. The method for detection of sea level wave height through adoption of the S-waveband Doppler radar provides a new detection means for obtaining the sea level wave height through adoption of a microwave Doppler radar, has high detection precision and wave field spatial resolution, and is simple and clear in results.

The invention relates to the technical field of assessment of wave energy resources, in particular to an effective wave height, mean wave period and wave direction based parameterized joint distribution model. The parameterized joint distribution model is produced in the following steps of S1, structuring edge distribution fHs (hs) and fTm (tm) of the linear-variable effective weight height and the mean wave period; S2, structuring edge distribution f theta (theta) of circular-variable wave direction; S3, structuring joint distribution cHs-Dir (u, v) and cTm-Dir (v, w) of the effective wave height and wave direction and the mean wave period and wave direction, conditional distribution hHs/Dir (u/v) and hTm/Dir (v/w) of the effective wave height as well as wave direction and the mean wave period and the wave direction, and two-dimensional conditional distribution cHs-Tm/Dir (hHs/Dir (u/v) and hTm/Dir (v/w) of the effective wave height, the mean wave period and the wave direction; S4, structuring a three-dimensional joint distribution model of the effective wave height, the mean wave period and the wave direction. The thee main elements like effective wave height, the mean wave period and the wave direction are considered, and wave conditions can be accurately described.

The invention belongs to the field of wind field sea wave inversion, and provides an SAR wind field sea wave joint inversion method and system based on data driving. The method comprises the following steps: collecting SAR data, and obtaining a plurality of small images in the SAR data; extracting a backscattering coefficient, a normalized variance, an incident angle and a frequency domain characteristic quantity of the small image, and constructing an input data set; obtaining ECMWF data, performing space-time matching on a wind speed, an effective wave height and an average wave period for each pixel of the small image, and constructing an output data set based on the matched wind speed, effective wave height and average wave period; inputting the input data set and the output data set into a convolutional neural network model for training to obtain a trained convolutional neural network model; and inputting the SAR data of the sea area to be measured into the trained convolutional neural network model to obtain the wind speed, the significant wave height and the average wave period of the sea area to be measured.

The invention relates to a reanalyzing method of wave long-term data. The method comprises the following steps of constructing wave element (significant wave height and average period) long-term observation data based on a satellite altimeter and wave element long-term simulation hindcasting data based on a wave numerical mode, and conducting space-time registering on the wave element long-term observation data and the wave element long-term simulation hindcasting data; using space-time synchronizing data to analyze and correct the wave element long-term simulation hindcasting data to obtain reanalyzed data of wave elements. Compared with common data assimilation methods, the disclosed new reanalyzing method applied to the wave element long-term simulation hindcasting data is high in the processing efficiency, flexible inintegrated observation data, and is particularly applicable to processing the wave element long-term hindcasting simulation data, and strong support can be provided for study and analysis of the climatic variability and the interannual variation of the wave element and the oceanographic engineering environment.

The invention discloses a sea wave height calculation method, and the method comprises the steps: adjusting the pulse width of a radar to be minimum, collecting a first image sequence, and recording afirst true course angle sequence and a first longitude and latitude coordinate information sequence of a ship; selecting an image inversion area, and performing inversion area motion compensation; carrying out sea wave information inversion to acquire the main wave length of sea waves; adjusting the pulse width of the radar to enable the resolution of the radar to be equal to the main wave lengthof sea waves, collecting a second image sequence, and recording a second true course angle sequence and a second longitude and latitude coordinate information sequence of the ship; selecting an imageinversion area, and performing inversion area motion compensation; calculating the sea surface average radar sectional area of the inversion area; and calculating the effective wave height of the seawave. The method has the beneficial effect that the effective wave height can be inversed in all sea areas only by one-time calibration.

The embodiment of the invention provides a correction method for the sea wave significant wave height of a satellite radar altimeter and a related device, and relates to the field of ocean detection.The method comprises the following steps: acquiring satellite radar altimeter data, wherein the satellite radar altimeter data comprises sea wave significant wave height, a backscattering coefficientand a backscattering coefficient standard deviation; and correcting the satellite radar altimeter data by using a pre-trained radar altimeter data correction model to obtain corrected sea wave significant wave height, wherein the radar altimeter data correction model is obtained by training based on the historical sea wave significant wave height, the historical backscattering coefficient, the historical backscattering coefficient standard deviation and the historical buoy observation sea wave significant wave height. The embodiment of the invention has the beneficial effects that the data ofthe satellite radar altimeter can be corrected, and the precision of the sea wave significant wave height in the data of the satellite radar altimeter is improved, so that the application value of thedata of the satellite radar altimeter is effectively improved.

The invention discloses a significant wave height estimation method and system for Gaofen-3 full-polarization SAR data. The method comprises the following steps: acquiring a radar incident angle of ato-be-estimated SAR image; respectively calculating the cross spectrum real parts of the SAR images of the to-be-estimated SAR image on the three polarization channels VV, HH and VH; respectively calculating the azimuth truncation wavelength of the polarization channels of VV, HH and VH; respectively calculating normalized variances of the SAR images on the polarization channels of VV, HH and VH;inputting the cross spectrum real parts of the SAR images on the polarization channels of VV, HH and VH into the depth residual convolution integral branch of the trained depth residual neural networkmodel; and inputting the radar incident angle, the azimuth truncation wavelength of each polarization channel of VV, HH and VH and the normalized variance of the SAR image on the polarization channels of VV, HH and VH into the full-connection branch of the deep residual neural network model to obtain the sea wave significant wave height corresponding to the to-be-estimated SAR image. The sea wavesignificant wave height estimation method provided by the invention has the advantages of simplicity, convenience, quickness and high precision.

The invention discloses a Tiangong-2 imaging altimeter effective wave height inversion method based on deep learning. The specific inversion process is as follows: obtaining a backscattering coefficient, an incident angle and image parameters from Tiangong-2 mage data, wherein the image parameters comprise image amplitude spectrum, image phase spectrum, image first moment, image second moment andimage third moment data; acquiring sea surface wind speed; and based on the obtained backscattering coefficient, incident angle, image parameter and sea surface wind speed, calculating by adopting a preset Tiangong-2 imaging altimeter effective wave height deep learning inversion model to obtain an effective wave height. According to the invention, the technical problem that a traditional altimeter can only carry out one-dimensional observation inversion of a sub-satellite point is solved, and wide-swath effective wave height inversion of two-dimensional observation data is realized.

The invention relates to a method for separating significant wave heights of wind waves and swells via a height gauge. The method comprises the following steps of: constructing a feature function relationship between dual-waveband back scattering coefficients of the height gauge and wind speed and wave age; solving an inverse function relationship between the wind speed and wave age and the dual-waveband back scattering coefficients, and calculating a wind speed and a wave age by utilizing the dual-waveband back scattering coefficients observed by the height gauge; and calculating an effectivewave height of a wind wave, and calculating an effective wave height of a swell by combining a total effective wave height observed by the height gauge. According to the method, the separation of effective wave heights, observed by the height gauge, of wind waves and swells is realized, the ocean dynamic environment monitor and identification ability is improved, novel data products of the heightgauge are obtained, and different requirements of scientific research and engineering application are satisfied.

The invention relates to a protection technology of a cold region dispersive soil side slope, in particular to a protection method of the cold region dispersive soil side slope. The protection method aims to solve the problems that frost heaving, stability losing and erosion damaging are prone to occurring in the cold region dispersive soil side slope, and an existing protection method is large in project amount and large in rain wash influence. The protection method comprises the steps that 1 a layer of geotechnical cloth is pre-laid at the position where a composite material is to be laid; 2 a polyurethane binder and gravel are mixed evenly to obtain the composite material; 3 the composite material obtained in the step 2 is laid on a channel side slope before solidification, wherein the laying thickness D satisfies the equation (please see the formula in the specifications), Hz refers to the effective wave height, R equals to 0,35, delta refers to the relative density of a slope protection layer, refers to a wave breaking parameter and is calculated according to the equation (please see the formula in the specifications), refers to the average wave length and alpha is the slope protection inclination; 4 a catch drain is excavate in the top of a channel; 5 the composite material obtained in the step 2 is laid in the foot fixing position at the bottom of the channel, and then protection of the cold region dispersive soil side slope is completed.