443 results about "Wavenumber" patented technology

The invention discloses a road cavity volume calculation method and device based on a three-dimensional FK migration algorithm, equipment and a medium, and relates to the technical field of road cavity detection, and the method comprises the steps: obtaining three-dimensional ground penetrating radar data, and carrying out the preprocessing of the data, and obtaining target radar data; converting the target radar data to a frequency wavenumber domain to obtain frequency wavenumber domain radar data; establishing a road hierarchical velocity model, and performing hierarchical wave field extrapolation and double weight correction based on the frequency wave number domain radar data and the road hierarchical velocity model to obtain corrected wave field data; performing sparse constraint optimization imaging processing on the corrected wave field data to obtain a target imaging result; and carrying out boundary extraction processing on the target imaging result to obtain a three-dimensional cavity boundary point set, and carrying out voxelization processing based on the three-dimensional cavity boundary point set to obtain a road cavity volume. According to the invention, high-precision restoration of the shape of the road cavity and automatic extraction of the volume can be realized in three-dimensional GPR imaging.

The invention relates to the technical field of pipeline detection, and provides a non-contact pipeline fluid flow velocity measurement method based on a frequency wavenumber domain spatial spectrogram, and the method comprises the steps: collecting a turbulence signal in a pipeline through a piezoelectric film sensor; carrying out snapshot number segmentation on the turbulence signal to obtain a plurality of segmented turbulence time domain signals; fourier transform and narrowband signal processing are carried out on the segmented turbulence time domain signals, and a spatial spectrum corresponding to each narrowband signal component is obtained; constructing a three-dimensional frequency-wave number domain spectrogram according to the spatial spectrum function; and according to the three-dimensional frequency-wavenumber domain spectrogram, calculating the flow velocity of the pipeline fluid. According to the method, a three-dimensional spectrogram characteristic space is constructed through conjoint analysis of the frequency and the wave number, the angle, distance and frequency characteristics of the turbulence signals are decoupled through spatial spectrum estimation methods such as the MUSIC algorithm, multipath interference and noise are effectively restrained, the flow speed of fluid in a pipeline can be accurately estimated, and limitation in a traditional method is overcome.

The invention discloses a near-fault broadband strong vibration simulation method, which comprises the following steps: S1, data collection and preprocessing: collecting a small vibration record in a research area as a source of an empirical Green function, and simultaneously obtaining information such as a geologic structure and stratum parameters of the area for model construction of a discrete wave number method; s2, correcting an empirical Green function, and selecting records similar to a target earthquake focus mechanism from the collected small earthquake records; and S3, calculating based on a geological structure and stratum parameters of a research area by using a discrete wavenumber method. According to the near-fault broadband strong vibration simulation method, the advantages of the two methods are fused, the description of the discrete wave number method on the medium structure at the low frequency band is accurate, the corrected empirical Green function can consider more actual factors at the high frequency band, accurate simulation of the broadband is achieved, and small vibration records are used as the empirical Green function, so that the simulation accuracy of the near-fault broadband strong vibration simulation method is improved. And information such as a real field effect is included, so that a simulation result is closer to an actual seismic oscillation condition.

The invention provides synthetic aperture sonar equipment towed by an unmanned aerial vehicle and a method, and belongs to the technical field of underwater sonar detection. The equipment comprises an unmanned aerial vehicle, a sonar towed body, a towing cable and a water surface control unit, the method comprises: establishing a measurement reference; based on the measurement basis, acquiring state data of the synthetic aperture sonar under the dragging of the unmanned aerial vehicle, and resolving in real time to obtain pose data; extracting a track direction velocity component from the pose data, performing displacement integration on the track direction velocity component, and generating a pulse trigger signal when the displacement integration quantity reaches a sound wave half-wavelength threshold value; synchronously latching current pose data and collecting acoustic echoes based on the pulse trigger signal, and generating a timestamp binding data packet; geometric phase compensation is applied to the timestamp binding data packet, an aliasing-free image is reconstructed through wave number domain resampling, and spatial spectrum aliasing caused by carrier motion disturbance is eliminated.

The invention relates to an unsteady-state sea wave direction spectrum estimation method. The method comprises the steps of S1, signal decomposition; s2, direction distribution calculation; s3, adaptively adjusting the time domain analysis step length; s4, performing nonparametric kernel estimation on the transient wavelet distribution probability; and S5, direction spectrum time domain adaptive reconstruction is carried out. In the time domain analysis process of wavelet analysis, a two-dimensional plug-in non-uniform bandwidth algorithm is adopted to determine a data-adaptive two-dimensional non-uniform and non-parametric kernel function, the probability of different wavelets in a wave number-direction space is analyzed, the lateral propagation sea wave energy in the non-main wave direction is estimated, and the wave energy in the non-main wave direction is obtained. Therefore, the precision and the anti-noise capability of the direction spectrum estimation method are improved. In the time domain analysis process of wavelet analysis, a sea wave signal fluctuation intensity detection algorithm based on the frequency-direction-wave number three-dimensional change rate of wave energy distribution is introduced, the time duration of sea wave signal sections is divided according to the fluctuation intensity, the time domain precision is adjusted, the calculation efficiency is improved, and meanwhile, the sea wave signals which rapidly change in the time domain are accurately captured. Measurement is avoided.

The invention provides an aero-engine blade damage detection method based on an improved ultrasonic sparse reconstruction algorithm, and relates to the technical field of aero-engine damage detection positioning, and the method comprises the steps: S1, setting a sensor array and a detection region of a to-be-detected blade, and obtaining an actual measurement damage reflection signal dictionary through a sensor; s2, wave number distribution of a detection area is determined according to a variable thickness structure Lamb wave propagation model, signal reconstruction is carried out, and a theoretical damage reflection signal dictionary is obtained; s3, an aero-engine blade damage detection model is constructed, an improved sparse reconstruction algorithm is adopted to solve and optimize, and damage judgment is carried out; and S4, according to the pixel value distribution condition of the aero-engine blade detection area, generating an aero-engine blade damage detection image, and positioning a damage position. According to the method, the reflected wave amplitude information can be obtained from the array sensor signals, and the reflected wave amplitude information is compared with the reconstructed theoretical reflected signals, so that the damage condition of the aero-engine blade is identified and positioned.

The invention discloses a multi-scale sea surface electromagnetic scattering calculation method and device based on marine environment elements and a storage medium, and belongs to the technical field of marine detection and physical remote sensing. The method comprises the following steps: calculating a tension wave sea spectrum according to an Elfouhail sea spectrum in combination with a Longuet-Higgins directional spectrum; a JONSWAP sea spectrum is combined with a Longuet-Higgins directional spectrum to calculate a gravity wave sea spectrum; superposing the tension wave on the gravity wave according to the slope by using a linear superposition method, and calculating a self-adaptive cut-off wave number; the contribution of small-scale waves to scattering is calculated by adopting an integral equation method, mirror scattering of large-scale waves is counted by adopting a Kirchhoff approximation method, and statistics and fusion are carried out on each scale wave according to the self-adaptive cut-off wave number, so that an electromagnetic scattering value is obtained. According to the method, a sea surface geometric calculation method based on real marine environment element driving is adopted, and accurate calculation is performed aiming at sea surface scattering characteristics under different sea conditions in combination with an integral equation method-Kirchhoff approximation electromagnetic scattering calculation model of an adaptive cut-off wave number, so that the calculation precision of scattering intensity is improved.

The invention discloses a noise reduction method of a bionic fish scale blade centrifugal pump, which comprises the following steps that a long and short blade centrifugal pump is selected for research, and the main design parameters of the long and short blade centrifugal pump are as follows: the specific speed ns is equal to 40.79, the rated flow Qd is equal to 10.6 m < 3 > / h, the lift H is equal to 34m, and the rotating speed n is equal to 2900r / min; a computational domain three-dimensional model of the long and short vane centrifugal pump is established through Creo8.0; in order to prevent backflow of inlet and outlet sections, ensure that fluid stably flows into an impeller and ensure the accuracy of a simulation result, extension pipelines are additionally arranged at an impeller inlet and a volute outlet of the centrifugal pump, the pipe diameter of the inlet extension section is 4 times that of the outlet extension section, and the pipe diameter of the outlet extension section is 8 times that of the inlet extension section; in order to verify the accuracy of a calculation result, a centrifugal pump experiment platform is built for external characteristic experiments; the bionic fish scale pit has the advantages that the dynamic and static interference between the impeller and the volute is reduced, the pressure fluctuation in the pump is stabilized, the amplitude fluctuation of a wave number-frequency spectrum and the energy region of a low wave number region are reduced, the migration of a wave number-frequency spectrum peak ridge is reduced, the curve change is gentle, and then the noise reduction effect is achieved.

The invention provides a method, a medium and a system for calculating ocean wave spectrum parameters of ocean digital twinning, and belongs to the technical field of electrical digital data processing. The method comprises the following steps: acquiring and preprocessing original sea wave spectrum data, selecting a Jonswap frequency sea wave spectrum as a theoretical model, establishing a multi-index fitting criterion, optimizing and solving a peak rise factor parameter, performing statistical analysis according to a significant wave high period level, and distinguishing sea wave spectrum characteristics of typhoon and non-typhoon working conditions. And calculating the wave amplitude wave number and the random phase to construct a wave surface height model, and finally forming a sea wave spectrum parameter database. The technical problem that sea wave spectrum parameters in the ocean digital twinning system are difficult to accurately describe and calculate is solved, the extreme sea condition simulation capability is particularly optimized, and high-precision sea wave field simulation technical support is provided for the ocean digital twinning system.

The invention provides a high-frequency electromagnetic excitation cable detection image reconstruction method and system, and belongs to the technical field of underground facility multi-field coupling detection and imaging, and the method comprises the steps: applying high-frequency electromagnetic excitation to an underground medium; receiving an electromagnetic signal transmitted through an underground medium, synchronously collecting a sound signal generated by electromagnetic excitation, and preprocessing the electromagnetic signal and the sound signal; performing structure imaging on the electromagnetic signal by adopting a frequency wave number migration imaging algorithm to obtain medium structure distribution; performing electrical parameter imaging on the electromagnetic signal by adopting a Born approximate inverse scattering imaging algorithm to obtain medium electromagnetic characteristic parameter distribution; sound source distribution reconstruction is carried out on the sound signals through a time reversal algorithm, and medium sound source response characteristic distribution is obtained; and inputting imaging results of the three algorithms into a pre-constructed deep reinforcement learning model for dynamic fusion to generate an underground medium comprehensive parameter reconstruction image.

The invention relates to the technical field of spectrum detection, in particular to a Raman spectrum-based rice oil detection method, which comprises the following steps: extracting main and auxiliary peaks to construct a peak group structure, performing sliding comparison to output a conformity region, identifying jump to remove an abnormal signal, calibrating a peak position to generate a correction structure, and performing homing numbering to complete a detection scheme. According to the method, the feature matching rule is constructed by combining the peak position spacing, the intensity ratio and the wavenumber index, the recognition precision of the multi-peak structure in the spectrum is enhanced, non-continuous response signals are recognized and eliminated through derivative change trend and proportion deviation constraint, and the accuracy of stable response extraction is improved. Dynamic calibration and position adjustment of peak positions are realized by utilizing an offset trend sequence, the consistency of a peak group structure in an overall direction and the continuity of a local structure are ensured, a numbering system and structure attribution division is completed after homing sorting, and the integrity of feature expression in a complex sample and the orderliness and reliability of spectral data processing are improved.

The invention discloses an ultra-deep reflection imaging method based on passive source seismic data and a related device, and relates to the technical field of earth depth structure imaging, and the method comprises the following steps: firstly, for original continuous seismic waveform data, intercepting seismic waveform data with a first arrival of a P wave and a non-arrival of an S wave, and carrying out the preprocessing of the data, so as to obtain a far earthquake event data segment; the method comprises the following steps: firstly, analyzing and identifying a far earthquake event with a high signal-to-noise ratio by using a time-frequency-wavenumber domain, removing data which are greatly influenced by noise, and then, reconstructing a reflection wave field of a high-quality far earthquake data fragment by using a multi-dimensional deconvolution technology, and carrying out convolution on a seismic source wavelet to obtain ultra-deep reflection wave field data. And finally, performing reflection imaging processing in combination with velocity analysis and superposition imaging technologies, optimizing the analysis capability of a deep reflection interface, and finally obtaining an earth deep reflection imaging profile, so that a continuous structure interface extending from the shallow earth crust to the deep mantle can be clearly revealed, and coupling characteristics between shallow and deep earth structures can be effectively captured.

The present invention relates to the technical field of seismic exploration. Provided are a three-component seismic data vector anti-aliasing interpolation reconstruction method and an apparatus. The method comprises: representing three-component seismic data in a time domain as pure quaternions for vector joint; transforming the pure quaternion data in a time-space domain to a frequency-space domain to obtain frequency-space domain data; transforming the frequency-space domain data into a frequency-wave number domain; in the frequency-wave number domain, using an inclination angle scanning strategy to construct a mask matrix; performing vector anti-aliasing interpolation reconstruction on the frequency-space domain data and the mask matrix, so as to obtain a frequency-space domain reconstruction result; and inversely transforming the frequency-space domain reconstruction result to the time-space domain to obtain a time domain three-component three-dimensional data anti-aliasing reconstruction result. The present invention can effectively solve the problem of vector anti-aliasing reconstruction for three-component seismic data that contain both irregular and regular missing traces, thus improving the accuracy of effective wave event identification.

The invention discloses a real-time wave number space resampling method and system for SS-OCT, and relates to the technical field of signal processing, and the method comprises the steps: synchronously collecting a K clock signal and an OCT interference signal, and carrying out the filtering preprocessing of the signals; carrying out Hilbert transformation on the preprocessed K clock signal, constructing an analysis signal, extracting an instantaneous phase, and forming an instantaneous phase sequence; using a preset ideal equal wave number interval phase sequence as a target phase sequence, matching the target phase sequence with the instantaneous phase sequence, calculating a corresponding position index of each target phase in the instantaneous phase sequence, and obtaining a remapping sampling point index; and processing the preprocessed OCT interference signal by using an SINC interpolation method according to the remapping sampling point index to obtain an OCT signal which is subjected to resampling and has equal wave number intervals. According to the invention, the SINC interpolation algorithm is utilized to complete resampling in real time and with high precision in the data acquisition stage, and the requirement of high-speed real-time imaging is met.

The invention relates to the technical field of signal processing, in particular to a pipeline guided wave signal processing method and system. The method comprises the following steps: acquiring a multi-channel ultrasonic guided wave signal through a sensor array circumferentially arranged around a pipeline, and converting the multi-channel ultrasonic guided wave signal into a frequency domain response matrix; calculating a circumferential amplitude distortion degree based on the power spectrum amplitude distribution of each channel; constructing a modal coupling matrix by combining the circumferential amplitude distortion degree and the theoretical wave number of the ideal pipeline; correcting the standard orthogonal modal matrix to generate a modal projection matrix; and decomposing the frequency domain response matrix by using the projection matrix, and separating a structure echo component and a defect signal component. According to the method, the influence of geometric defects such as ovality deviation is evaluated more accurately, energy exchange between modeling modes is accurately established, and orthogonality hypothesis is corrected; modal energy leakage is inhibited, and the decomposition accuracy is improved; signals are effectively separated, coherent noise interference is solved, and the accuracy and reliability of pipeline defect detection are improved.

The invention discloses a multi-scale fractured porous medium rock physical modeling method and device. The method comprises the following steps: determining an elastic modulus of an equivalent rock containing pores and microscopic cracks by utilizing an equivalent medium model based on respective elastic moduli and geometric factors of a mineral matrix, the pores and the microscopic cracks; on the basis of the elastic modulus of the equivalent rock containing the pores and the microscopic cracks, determining the elastic modulus of the equivalent rock containing the extrusion jet effect of the microscopic cracks; based on the elastic modulus of the equivalent rock containing the microcosmic fracture extrusion jet flow effect, the far-field scattering amplitude caused by each group of mesoscopic fractures is determined, the total far-field scattering amplitude caused by all the mesoscopic fractures is obtained, and the total effective longitudinal wave number is determined; and according to the total effective longitudinal wave number, establishing a multi-scale fractured porous medium rock frequency dispersion and attenuation model. According to the method, the frequency dispersion and attenuation model comprehensively considering the crack scale effect and the frequency dispersion characteristic can be established.

The invention discloses a two-stage Raman hyperspectral imaging method, which relates to the technical field of spectral signal analysis and comprises the following steps: S0, preprocessing Raman hyperspectral data to remove abnormal values; the method comprises the following steps: S1, taking a wave number where a target characteristic peak is located as a target wave number, and based on a neighborhood of the target wave number in Raman hyperspectral data, performing spectrum denoising on the Raman hyperspectral data by using an adaptive low-rank matrix approximation algorithm to obtain the Raman hyperspectral data after spectrum denoising; and S2, using an improved BM3D method based on a rotating block to carry out image denoising on a Raman image after Raman imaging is carried out on a target wave number in the Raman hyperspectral data after spectrum denoising. According to the method, the neighborhood of the target wave number is used as the target area, the adaptive low-rank matrix approximation algorithm is used for spectrum denoising, then the improved BM3D method based on the rotating block is used for image denoising, Raman hyperspectral fast and efficient imaging is achieved, and the method has the advantages of being good in denoising effect, high in speed and light in weight.

The invention discloses a Fourier finite difference deconvolution imaging method based on inclination angle adaptive noise suppression, and relates to the technical field of geophysical exploration of petroleum. The method specifically comprises the following steps: designing a scattering point speed model to solve a partial point spread function of an underground space; solving a partial point spread function by a speed disturbance method; solving point spread functions of all positions of the underground space by carrying out Gaussian filtering technology and inverse distance weighted interpolation on part of the point spread functions; using a plane wave destruction method to solve the inclination angle attribute of the work area, and constructing an inclination angle self-adaptive diagonal diffusion Fourier finite difference migration method based on the inclination angle attribute to solve a high-quality initial image suitable for an inversion system; and performing multi-dimensional deconvolution in the wave number domain to obtain a final migration imaging result. According to the method, the point spread function is successfully introduced into Fourier finite difference imaging, and the resolution and deep amplitude of a conventional Fourier finite difference imaging method can be effectively improved.

The invention discloses a modal decomposition-based target motion velocity estimation method and a sound velocity profile inversion method, and the method comprises the following steps: 1, obtaining a two-dimensional frequency domain sound field, obtaining a normal wave vertical mode function through singular value decomposition, and obtaining a normal wave horizontal wave number through Fourier transform; 2, substituting the normal wave vertical mode function and the normal wave horizontal wave number into a mode difference equation to obtain a sound velocity profile estimated by each normal wave mode; and step 3, setting a loss function for measuring similarity between sound velocity profiles corresponding to each normal wave mode, setting a target motion velocity search interval, scanning the target motion velocity search interval, and taking a velocity value corresponding to the minimum loss function as a target motion velocity estimation value. According to the invention, target motion velocity estimation and sound velocity profile inversion in an unknown marine environment are realized by using a narrow-band signal radiated by a moving target.

The invention relates to a frequency domain full-focus imaging method, in particular to a frequency domain full-focus imaging method for bolt thread detection. The invention aims to solve the problems of huge data volume and long imaging time of a time domain full-focus algorithm image generation technology. According to the method, an ultrasonic phased array is used for detecting bolt crack defects, and a three-dimensional echo signal matrix of all transmitting / receiving combinations is obtained; then three-dimensional Fourier transform is carried out, and a time domain and a space domain are converted into a frequency domain and a wavenumber domain; the emission wave number is kept unchanged, a new wave number value is calculated through Stolt mapping interpolation, two-dimensional slices are extracted and superposed, and scatterer distribution of the target area after two-dimensional Fourier transform is obtained; and finally, carrying out two-dimensional inverse Fourier transform to obtain an ultrasonic image. The invention belongs to the technical field of frequency domain full-focusing imaging.

This paper provides a high-resolution frequency-wavenumber method capable of modal separation. Based on the frequency, wavenumber, and phase velocity characteristics of multimodal Rayleigh surface waves, a method for enhancing high-modal energy by weighting the F-K spectrum with a two-dimensional Gaussian window is proposed. This algorithmic approach enhances high-modal Rayleigh wave information, resulting in simple computation and clear physical meaning. Using probability distribution statistics, a frequency-phase velocity probability distribution is plotted. All extreme points are statistically analyzed, and the median of their phase velocity intervals is taken as the phase velocity of the frequency point in that mode. This more accurately separates and extracts multimodal dispersion curves.

The invention provides an anti-noise interference frequency parameter estimation method for high-precision optical coherence ranging, which comprises the following steps: acquiring a spectral interference signal of an optical low-coherence interference system and a reference light spectral signal output only by a reference arm, and converting the spectral interference signal into interference signals with wave number space arranged at equal intervals, carrying out spectral density amplitude normalization to obtain a standard interference signal so as to eliminate interference of light source spectrum fluctuation and non-uniform sampling on frequency estimation; hanning window modulation is applied to a standard interference signal, spectrum leakage is suppressed, spectrum analysis is performed on the modulated signal, a peak value and an adjacent secondary peak value of a spectrum main lobe are extracted, a frequency correction amount is calculated based on a peak value and secondary peak value amplitude ratio relation derived by a Hanning window spectrum mode function, and an accurate frequency of the interference signal is obtained; and calculating the displacement of the object to be measured according to the product of the accurate frequency and the spectral resolution of the optical low-coherence interference system in combination with the refractive index of the light in the measurement medium.

The invention discloses a deep strike-slip fracture fracture zone identification method, and the method comprises the steps: converting original seismic data into a frequency-wavenumber domain through Fourier transform, carrying out the multi-scale decomposition and downsampling through a radial filter cascade architecture, converting the data into a time-space domain through a directional basis filter, and carrying out the filtering. And acquiring an optimal direction by adopting an optimization strategy, and constructing characterization attributes based on neighborhood attribute differences to extract multi-scale fracture attributes. And introducing a plurality of level set functions to construct an energy functional model, and solving through a dynamic weight adjustment algorithm to realize internal and external band identification. And constructing a model by means of a topological relation based on distance-angle constraint to analyze the three-dimensional space topology. The problems that traditional data processing is not fine and model analysis is insufficient are solved, accurate recognition of the deep strike-slip fracture fracture zone is achieved, and the method has important application value in the fields of oil and gas exploration and development and the like.

The invention belongs to the technical field of underwater target detection, and discloses an underwater target depth coherent estimation method and system, and the method comprises the steps: receiving a single snapshot signal radiated by a target through a sensor array carried by an underwater carrier, and constructing a potential normal wave orthogonal mode space of a sound field under the condition that a sound velocity profile is known, estimating normal wave parameters (namely normal wave horizontal wave number and vertical modal function) and depth-related modal characteristics (namely modal amplitude) by using the sparsity of the sound field projected in the orthogonal modal space as a constraint, and coherently estimating the depth of the underwater target by using a modal polarity-based search method. According to the method, target depth coherent estimation is realized in a marine environment with unknown seabed sediment by using a single frequency component in a single snapshot noise signal radiated by the target, the accuracy of polarity estimation is improved by using a theoretical depth ambiguity function learned by the KAN network, and the method can be used for underwater target positioning, identification and the like. The method is suitable for carrier platforms such as vertical array subsurface buoys and vertical array buoys.

The invention relates to a multi-machine calibration method and system for a Raman spectrometer, and a storage medium, and the method comprises the steps: outputting an adjustable substrate voltage, and setting an initial signal amplification gain; controlling a CCD sensor to collect first Raman spectrum data of a standard sample with a known standard wave number; establishing a mapping model from a pixel domain to a wave number domain based on a plurality of known standard wave numbers and second pixel point positions of the characteristic peaks corresponding to the known standard wave numbers in the first Raman spectrum data to obtain calibration parameters of the Raman spectrometer; verifying the accuracy of the mapping model by verifying the characteristic peak, and storing calibration parameters after the verification is passed; controlling the plurality of Raman spectrometers to respectively detect the same sample to be detected, acquiring second Raman spectrum data of the sample to be detected, extracting a third pixel point position corresponding to a characteristic peak of the sample to be detected, calling the calibration parameter, and converting the calibration parameter into an actually measured wave number; and feeding back and adjusting the signal amplification gain of each instrument based on a signal intensity measurement value corresponding to the second Raman spectrum data by each Raman spectrometer.

The invention provides a stone analysis method based on attenuated total reflection Fourier transform infrared spectroscopy. The stone analysis method comprises the following steps: S1, placing and fixing a stone sample to be detected; s2, acquiring an infrared light signal and converting the infrared light signal into original spectral data; s3, processing the original spectrum data to obtain a corrected spectrum; s4, taking the correction spectrum as input, obtaining a preliminary prediction category by using a partial least square discriminant analysis algorithm, and calculating a feature importance index of each wavenumber at the same time; s5, according to the feature importance index, using a random forest algorithm to obtain a secondary prediction category; and combining the accuracy rate of the partial least square discriminant analysis model and the accuracy rate of the random forest model to obtain a final prediction category. According to the method, an attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) technology is taken as a core, and an innovative thought of'pretreatment-free sample treatment + multi-algorithm collaborative analysis' is combined, so that a complete stone analysis process from sample fixation to clinical report output is constructed.

The invention relates to the technical field of crossing of geophysical exploration and artificial intelligence, and discloses a three-dimensional VSP data reconstruction method based on a three-dimensional blind sidewalk time frequency-space multi-domain interpolation network model, and the method comprises the steps: obtaining a to-be-reconstructed three-dimensional VSP data volume containing an irregular missing sidewalk; inputting the three-dimensional VSP data volume into a trained three-dimensional space-time-frequency mixed domain convolutional network model; performing down-sampling on the input data through an encoder to extract initial spatial-temporal characteristics; inputting the initial spatiotemporal features into a residual spatiotemporal-frequency wavenumber domain joint convolution feature fusion module to obtain fusion features; and inputting the fusion features into a decoder, and reconstructing a complete three-dimensional VSP data volume through up-sampling operation. According to the invention, through joint learning of ground seismic data (providing a macrostructure) and illuminance data (providing a physical propagation path), a reconstruction result with a reasonable geologic structure and extremely high fidelity of wave field features can be generated.

The invention discloses a random fluctuating wind field simulation method for power transmission tower structure dynamic response analysis. The method comprises the following steps: S1, determining a wave number-frequency spectrum model of a fluctuating wind field of the power transmission tower according to wind field parameters of a place where the power transmission tower is located; s2, based on the eta point set and a wave number-frequency spectrum power function, non-uniform discretization is carried out on a wave number-frequency domain, and wave number-frequency discrete points are obtained; and S3, simulating the fluctuating wind field in the one-dimensional vertical space of the power transmission tower by adopting a spectral expression method. According to the method, the characteristic of height uniformity of the eta point set is utilized, so that the precision of wind field simulation is ensured while fewer discrete wave number-frequency points are used, and the calculated amount of harmonic superposition is greatly reduced in the process of power transmission tower wind field spectrum expression simulation, so that the simulation efficiency of the wind field is improved.

The invention provides a CFRP plate elastic constant inversion method based on zero group velocity point wave number-frequency, and belongs to the technical field of nondestructive testing of carbon fiber composite plates. In order to solve the problems that in the nondestructive testing process of the CFRP plate, a complete elastic constant matrix of the composite material cannot be obtained and the obtained elastic constant has obvious errors, the method comprises the following steps: calculating frequency dispersion curves in different directions according to the elastic constant of the carbon fiber composite material plate; obtaining theoretical wave number-frequency data based on the wave number-frequency data; carrying out full wave field scanning on the surface of the carbon fiber composite material plate, carrying out three-dimensional Fourier transform on time domain data obtained by the full wave field scanning, and extracting to obtain actually measured wave number-frequency data; and constructing an objective function of an error between the wave number-frequency data corresponding to the theoretical data and the actually measured data ZGV frequency point, and performing multi-parameter optimization on the objective function by using a particle swarm algorithm to obtain an inversion result of the elastic constant of the carbon fiber composite material plate.

The invention relates to a sea surface wind wave field parameter integrated inversion method combining HFR and SAR, and the method mainly comprises the steps: extracting the positive and negative first-order echo spectrum peak values of HFR, carrying out the inversion of a sea surface wind direction, and carrying out the interpolation of an HFR wind direction result to an SAR data grid through bilinear interpolation; based on the registered HFR wind direction result, utilizing a CMOD5. N model and an SAR backscattering coefficient to invert the wind speed; constructing a wind wave spectrum based on the inverted wind speed and wind direction results; calculating a surge spectrum peak wave number, a surge spectrum peak amplitude and a surge propagation direction by using the SAR image information, and constructing a surge spectrum based on the surge spectrum peak wave number, the surge spectrum peak amplitude and the surge propagation direction; and superposing the obtained wind wave spectrum and the surge spectrum to obtain a sea wave spectrum result, and further inverting the significant wave height. According to the method, the defect of sea state parameter observation through a single means is overcome, integrated high-precision inversion of the wind wave parameters is achieved, and the method has important significance on marine environment monitoring, disaster forecasting, shipping safety and the like.