298 results about "Wave propagation" patented technology

The invention relates to the technical field of fault monitoring, in particular to a power transmission line fault monitoring and positioning method, system and device and a medium. The method comprises the following steps: firstly, performing digital conversion on an original current signal to obtain time sequence data, and then identifying and classifying fault events through threshold detection and a feature extraction algorithm to obtain classification labels of fault types; then, based on the classification label, establishing a traveling wave propagation model and carrying out time difference calculation, carrying out clustering analysis on a plurality of wave head data in a preset time window, and judging whether the fault is a single-point fault or a multi-point fault through a clustering result; and finally, a positioning result is transmitted to the central server for comprehensive verification and alarm management, and a final fault response is formed. By introducing a time series data analysis and clustering judgment mechanism, the fault type can be accurately identified, single-point and multi-point fault conditions can be effectively distinguished, and meanwhile, the reliability of a positioning result is improved through comprehensive verification of the central server.

The invention discloses a large-section long-footage mechanical blasting mixed excavation method suitable for a subway station, and relates to the technical field of underground rail transit engineering, and the method comprises the following steps: obtaining a tunnel section contour, a geologic structure and blasting parameters, building a three-dimensional blasting wave propagation inversion model, and combining geology and material heterogeneity to obtain a three-dimensional blasting wave propagation inversion model; and identifying a closed space region forming reflection interference, and predicting a space point location where blasting wave energy is abnormally accumulated. Based on the three-dimensional blasting wave propagation inversion model, the abnormal wave energy accumulation area is predicted in combination with geological heterogeneity, the high-risk blasting section is recognized, parameters are reconstructed, vibration real-time monitoring and model feedback correction are assisted, a closed-loop control system is constructed, local wave crest abnormity is effectively restrained, and the safety and controllability of large-section tunnel blasting construction are improved.

The invention discloses a high-voltage cable operation state on-line monitoring, intelligent early warning and fault positioning system, particularly relates to the technical field of power equipment insulation monitoring, and is used for solving the problems that transient discharge signals generated in the cable insulation degradation process are difficult to effectively capture and accurate fault positioning cannot be realized in the prior art. The method comprises the following steps: collecting transient leakage current signals and traveling wave propagation characteristic parameters, performing phase correlation analysis on leakage current pulses and power frequency voltage to identify discharge types, and performing variational mode decomposition and Hilbert-Huang transform on the signals to respectively extract complexity characteristics and energy distribution characteristics; signal logic conflicts are judged by analyzing similarity and statistical distance among characteristics of a plurality of monitoring points, and collaborative diagnosis is started or traveling wave distance measurement is directly utilized to carry out insulation state evaluation and fault location. And finally, differential early warning levels are generated according to the diagnosis result, and fault line selection and positioning information is output to realize real-time monitoring, intelligent early warning and accurate positioning of the operation state of the high-voltage cable.

The invention relates to the technical field of vibration monitoring, in particular to a self-powered transmission line fitting aeolian vibration damage diagnosis system and method, and the system comprises a sensing collection module, a signal decoupling module, a damage identification module, a damage association module and a risk assessment module. According to the method, stress wave velocity and acceleration data are synchronously collected, time alignment is implemented, feature coupling precision is enhanced, wave crest offset and energy density are respectively extracted by using moving average filtering and wavelet transform, effective data segments are dynamically screened, and environmental noise interference is suppressed. A stress wave propagation change rate is quantified based on a path attenuation model, a continuous energy abnormal node is matched to realize damage positioning, a breeze response abnormal region is identified by combining vibration direction change and a signal envelope offset degree, multi-dimensional features are coded and subjected to risk judgment through a neural network, a damage positioning and risk assessment closed-loop framework is formed, and the risk assessment accuracy is improved. And the spatial resolution and evaluation precision of aeolian vibration damage identification under complex working conditions are significantly improved.

The invention discloses a semantic tag generation method based on a power grid engineering corpus, particularly relates to the technical field of power grid system fault analysis, and is used for solving the problem that the existing semantic tag technology cannot accurately represent dynamic association and physical propagation paths of composite events. Equivalent traveling wave propagation delay of an event entity is extracted based on an electromagnetic transient waveform, and a sequential relation graph is constructed to restore a fault dynamic evolution process; establishing a physically interpretable causal chain hierarchical structure through equipment topology path matching and wave impedance gradient difference analysis; a gradient clustering algorithm is adopted to adaptively adjust label granularity confidence, noise interference is eliminated, and a key propagation path is reserved; and finally outputting a versioned label set fusing the dynamic causal chain, the traveling wave propagation time delay and the equipment physical association path, and forming a closed-loop modeling mechanism of event space-time association and equipment topology linkage.

The invention relates to the technical field of power distribution network fault positioning, in particular to a power distribution network fault traveling wave positioning method and system, and the method comprises the steps: synchronously collecting a transient signal through a distributed traveling wave sensing unit, and extracting an initial traveling wave arrival time; constructing an adaptive wave velocity model based on line physical parameters to calculate an equivalent propagation velocity; dynamically generating a traveling wave propagation tree according to the real-time switch state to determine an effective monitoring path; based on the propagation path and the actual arrival time, an optimization algorithm is adopted to determine a preliminary fault point; and calculating a consistency index of the polarity of the traveling waves of the adjacent nodes, starting a multi-hypothesis tracking mechanism in a preliminary point neighborhood when the consistency index is lower than a threshold value, performing confidence coefficient weighted evaluation by combining a traveling wave attenuation model, and outputting an accurate positioning result. According to the method, through cooperation of dynamic topology mapping, adaptive wave velocity correction and multi-source closed-loop verification, the precision, reliability and adaptive capability of fault positioning in a complex power distribution network environment are remarkably improved, and the operation and maintenance requirements of rapid self-healing are met.

The invention discloses a bionic joint humanoid robot navigation positioning method, device and equipment, and the method comprises the steps: monitoring a landing shock wave signal and reflection echo data of a robot, carrying out the time domain expansion of the shock wave signal to form a pulse characteristic spectrum, extracting multipath propagation components, and carrying out the time difference correlation to generate an environment response value. Screening a direct wave component by using an environmental response value, positioning a sound wave propagation trajectory, and detecting impedance mutation to construct an acoustic matrix. A strong reflection zone is identified through node analysis, a sound pressure gradient field is extracted to determine an obstacle boundary, and a landmark feature bit is determined in combination with an environmental response value. And adjusting a dynamic stride frequency interval based on a landmark feature bit, forming an adaptive detection sequence, and performing sparse processing to construct path configuration. The mechanical vibration component of the shock wave signal is used for piezoelectric conversion to generate recycled electric quantity, the recycled electric quantity is matched with path configuration power to determine a sensing period, intermittent sensing is executed to obtain detection data to construct a detection convergence field, and finally an accurate positioning window is determined and converted into position coordinates.

The invention belongs to the technical field of fault positioning, and discloses a Beidou satellite time service-based power distribution network fault section positioning method, which comprises the following steps of: acquiring three-phase current, and performing phase synchronization alignment on the three-phase current by using a Beidou satellite to obtain a three-phase current synchronization data sequence; performing modulus transformation on the three-phase current synchronous data sequence to obtain a zero-mode current component and a line-mode current component; performing adaptive waveform decomposition on the zero mode current component and the line mode current component to obtain an intrinsic mode component, and performing signal reconstruction on a target component to obtain an enhanced fault traveling wave signal; performing waveform curvature sudden change detection on the enhanced fault traveling wave signal to obtain a wave head arrival time and a time difference observation sequence; performing geometric analysis on the topological structure based on the time difference observation sequence and the traveling wave propagation speed to obtain a suspected fault section; and comprehensively studying and judging the suspected fault section to obtain an actual fault section. The power distribution network fault positioning efficiency can be improved.

The invention belongs to the technical field of computational electromagnetics, and discloses a numerical calculation method for simulating electromagnetic wave propagation characteristics in time-varying plasma, which is a three-dimensional Newton-HIE-FDTD method for efficiently simulating propagation of electromagnetic waves in time-varying plasma based on a hybrid explicit-implicit finite difference time domain method and Newton's second law of motion. The method inherits the advantages of the Newton-ADE-FDTD method, the time-varying electron density is accurately represented through the time derivative, and the abundant dynamic characteristics of the time-varying plasma can be accurately captured. On the basis, the method also fuses the advantages of an HIE-FDTD method, so that the time step length of the algorithm is only restricted by the sizes of grids in two directions, and compared with other simulation methods based on time-varying plasma, the method provided by the invention is more excellent in calculation efficiency and is more suitable for large-scale popularization and application. The method is especially suitable for analysis and simulation of electromagnetic wave propagation characteristics in time-varying plasma.

An acoustic matching structure is used to increase the power radiated from a transducing element with a higher impedance into a surrounding acoustic medium with a lower acoustic impedance. The acoustic matching structure consists of a thin, substantially planar cavity bounded by a two end walls and a side wall. The end walls of the cavity are formed by a blocking plate wall and a transducing element wall separated by a short distance (less than one quarter of the wavelength of acoustic waves in the surrounding medium at the operating frequency). The end walls and side wall bound a cavity with diameter approximately equal to half of the wavelength of acoustic waves in the surrounding medium. In operation, a transducing element generates acoustic oscillations in the fluid in the cavity. The transducing element may be an actuator which generates motion of an end wall in a direction perpendicular to the plane of the cavity to excite acoustic oscillations in the fluid in the cavity, and the cavity geometry and resonant amplification increase the amplitude of the resulting pressure oscillation. The cavity side wall or end walls contain at least one aperture positioned away from the center of the cavity to allow pressure waves to propagate into the surrounding acoustic medium.

The invention discloses an electric power system harmonic propagation analysis method and device and a storage medium, and belongs to the technical field of electric power system harmonic analysis, and the method comprises the steps: inputting a to-be-predicted operation condition parameter and a harmonic voltage parameter into a trained regression prediction model, obtaining a corresponding prediction cross admittance matrix, and obtaining a prediction cross admittance matrix; the predicted cross admittance matrix is applied to harmonic propagation analysis of the power system; wherein the regression prediction model is integrated with Bagging based on a decision tree; according to the method, by improving the data set quality and optimizing the model hyper-parameters, the harmonic source cross admittance matrix which is self-adaptive to the operation condition and is established by adopting the decision tree-based regression device and the Bagging element regression device can meet the harmonic analysis precision requirements under different operation conditions, and harmonic propagation of the power system can be analyzed more accurately; the analysis efficiency is improved, and a feasible technical path is provided for online monitoring or rapid evaluation.

The invention belongs to the technical field of high-precision liquid level detection, and particularly relates to a high-precision liquid level detection method which comprises an installation preparation module, an installation position determination module, a comprehensive consideration module and a special installation method module. And the liquid level detection precision can be obviously improved. The photoelectric sensor is sensitive to light change and suitable for directly detecting the liquid surface; the ultrasonic sensor determines the distance by measuring the propagation time of sound waves, and is relatively insensitive to the change of liquid properties. The combination of the two can complement deficiencies and reduce errors.

The invention discloses an intelligent research and judgment method and device for a distribution feeder fault based on traveling wave characteristics. In the operation process of the power distribution feeder line, forming time sequence original sampling data based on a unified time service reference, determining a traveling wave disturbance event and generating candidate traveling wave data; constructing a traveling wave time sequence consistency criterion based on the corresponding relationship between the traveling wave head first arrival time and the unified time service reference, and screening to obtain an effective traveling wave feature set; performing correlation analysis on the effective traveling wave feature set and historical operation feature data of the power distribution feeder to form a target traveling wave feature set; according to the time difference relation between the first arrival time of the wave head of the traveling wave in the target traveling wave feature set, the traveling wave propagation distance is calculated to determine the fault occurrence position, meanwhile, the polarity direction of the traveling wave and the amplitude variation of the traveling wave are integrated, the fault type and grounding characteristics are researched and judged, and a fault research and judgment result is output. According to the invention, the accuracy and reliability of power distribution feeder fault positioning and type identification can be effectively improved.

The invention discloses a distribution line fault detection method and device, equipment and a storage medium, and relates to the technical field of electric power inspection, hidden danger features are extracted through LSTM time sequence analysis, time sequence modeling is performed on current and voltage waveforms, harmonic distortion rate, waveform distortion and other features are extracted, and early abnormality of the equipment can be accurately identified through quantitative analysis of the features, so that the fault detection accuracy is improved. Early warning before a fault is achieved, and the passive situation that an existing system can only conduct positioning after the fault occurs is changed. The fault type is subjected to weighted fusion judgment by using the random forest + SVM algorithm, and the advantages of the two algorithms are integrated, so that the possible misjudgment condition of a single algorithm is greatly reduced, and the accuracy of fault judgment is improved. Secondly, waveform correction is introduced into a traditional double-end positioning formula, local spectrum analysis of edge nodes is combined, traveling wave propagation speed errors are corrected, dependence on clock synchronization of equipment at the two ends is reduced, and the fault positioning precision is improved.

The method comprises the following steps: 1) establishing a disturbance data acquisition module, and outputting a six-channel disturbance tensor; 2) establishing a medium parameter correction module, and outputting corrected surface conductivity sigma (omega, t) and a relative dielectric constant epsilon r (omega, t); 3) establishing a disturbance spectrum extraction module, and outputting a disturbance spectrum embedded feature Ffuse; 4) establishing a path loss modeling module, including taking a frequency omega and a propagation distance d as core variables, fusing medium dynamic characteristic parameters sigma (omega) and epsilon r (omega) output by a previous module and a disturbance spectrum embedding feature Ffuse, and establishing a dynamic estimation function for ground wave propagation path loss; included sliding time window-based ensemble learning residual regression strategy to obtain corrected path loss

The invention discloses an ultrasonic guided wave damage ellipse imaging positioning method and equipment for a layer decreasing composite material laminated plate. The method comprises the following steps: S1, acquiring thickness change direction information of the laminated plate and position coordinates of an excitation transducer and a receiving transducer; s2, according to the material characteristic parameters, simulating and calculating the propagation time of ultrasonic guided waves transmitted from an excitation transducer to any point to generate a first theoretical propagation time map, and simulating and calculating the propagation time of the ultrasonic guided waves transmitted from any point to a receiving transducer to generate a second theoretical propagation time map to generate a second theoretical propagation time map; coupling influence of thickness change and material anisotropy on guided wave propagation is considered in the simulation process; s3, transmitting an ultrasonic guided wave signal, and extracting the actual flight time of a damaged wave packet; s4, calculating theoretical total propagation time, and determining a candidate area where damage exists; and S5, on the basis of repeated operation of the multiple groups of transducer pairs, taking a plurality of candidate region intersections to determine a final damage position. The objective of the invention is to solve the positioning error problem caused by the structural characteristics of a laminated plate in a traditional algorithm, and to realize more accurate damage detection and positioning.

The invention discloses a reservoir water fluctuation propagation direct numerical simulation method and device in gravity dam anti-seismic analysis, a medium and equipment. According to the method, fluctuation propagation in reservoir water under combined incidence of P waves and SV waves is considered, a reservoir water-foundation site free field is analyzed and calculated on the basis of the fluctuation theory and the potential function theory, then the site free field is converted into node counterforce on fluid and solid boundaries on the basis of a fluid and solid power artificial boundary substructure model, and the reservoir water-foundation site free field is obtained. Applying node counterforce on the reservoir water-foundation artificial boundary, and directly performing numerical simulation on reservoir water-foundation site free field response; based on a static-dynamic artificial boundary conversion method, considering the influence of the static effect of the gravity dam-reservoir water-foundation system on the dynamic effect of the system, and constructing a gravity dam seismic oscillation input model for directly simulating reservoir water fluctuation propagation; according to the method, the anti-seismic analysis precision of the gravity dam is improved, and the limitations of single-wave incidence during reservoir water fluctuation propagation simulation, failure to consider the static effect and the like are overcome.

Optical transmission property estimation device comprising:a transmission waveform restoration unit configured to restore a transmission signal from a reception signal obtained by receiving an optical signal by a coherent detection system; andan estimation unit configured to estimate an optical power distribution in a transmission line by estimating a nonlinear coefficient in a propagation equation of a light wave by a linear least square method based on the restored transmission signal and the reception signal.

The invention belongs to the field of power distribution network fault diagnosis, and particularly discloses a power distribution line fault intelligent section positioning method, which does not depend on real-time waveform information in a traditional power supply state, does not adopt an accurate distance measurement method depending on a traveling wave propagation path, and does not depend on a high-frequency injection signal in combination with synchronous multi-point response. A fault feature matrix is constructed, and the AI classification model obtained through training is utilized to realize rapid and accurate identification of a fault section; and meanwhile, a cloud model continuous learning mechanism is designed, so that the system has the intelligent characteristics of self-evolution and self-adaption, and the technical bottleneck of insufficient consideration of intelligence, practicability and robustness in a power-off working condition of a traditional method is broken through.

The invention relates to the technical field of underground detection, and discloses a low-frequency electromagnetic field detection positioning method for an underground metal target. According to the invention, a five-frequency-band time division multiplexing detection system is adopted in the frequency band of 1-100 kHz, and a special antenna is matched, so that deep target coverage within 40 meters can be realized, and shallow accurate measurement requirements can be ensured; meanwhile, distributed reference beacon nodes are deployed, parameters such as medium conductivity, dielectric constant and humidity are collected in real time, a wave velocity prediction model is constructed based on support vector regression to dynamically correct the electromagnetic wave propagation velocity, and correction errors are controlled; a time-frequency domain joint sparse reconstruction algorithm is used for separating a close-range target aliasing signal, so that an adjacent metal target can be effectively identified; finally, multi-band emission, signal receiving, medium sensing and a central processing unit are integrated to form a closed-loop cooperative system, an underground target three-dimensional model is generated, position coordinates and size and metal type attribute information are output, the system is suitable for complex scenes such as high-humidity soil and gravel layers, and the comprehensive detection performance is remarkably improved.

The invention relates to a double-air-chamber OWC wave energy structure based on artificial island steel cylinders, and belongs to the technical field of ocean wave energy utilization. The structure comprises adjacent steel cylinders and wave energy units embedded between the steel cylinders; the wave energy unit is provided with an air chamber body, the interior of the air chamber body is divided into a first air chamber and a second air chamber which are sequentially arranged in the wave propagation direction through a partition wall, the first air chamber is located on the outer side, and the second air chamber is located on the inner side. The second air chamber horizontally extends from one side of the first air chamber and is communicated to the water inlet. According to the structure, the wave energy units are integrated in the assembly spaces between the adjacent steel cylinders, seamless fusion with the artificial island body is achieved, and space and cost are saved; due to the fact that a flow channel of the second air chamber is longer, inertia is larger, the hydraulic path is effectively prolonged, and long-period waves are stably responded. The first air chamber is close to the water inlet, response is rapid, and short-period waves are efficiently captured. The double air chambers cooperate to achieve frequency division utilization of broadband wave energy, and the conversion efficiency and the power generation stability are remarkably improved.

The invention provides a method for preparing a porous rock and a method for quantitatively researching low-amplitude wave propagation by using the porous rock. The invention also provides a method for testing a low-amplitude ultrasonic wave propagation law of the rock by quantitatively researching a pore characteristic of the rock sample prepared by the method for preparing the porous rock. The invention solves a problem that high-precision, repeated and batch customization of rock-like porous medium samples is difficult, and improves precision of quantitatively researching the porous characteristic of the low-amplitude ultrasonic wave propagation law of the rock.

The application discloses an ionospheric parameter inversion method and system based on short-wave time difference information. A plurality of near-distance receiving stations are used to form a receiving station cluster, so that the reflection area of the short-wave propagation path corresponding to each receiving station in the ionosphere is approximately a common ionospheric reflection area, and a same set of F2 layer parameters is used to describe the ionospheric state of the area. The application obtains the observation time difference of each receiving station relative to a reference receiving station, performs ray tracing forward in a candidate parameter space to obtain the theoretical group path of each receiving station and calculate the theoretical time difference, searches for optimal ionospheric parameters by taking the error minimization of the observation time difference and the theoretical time difference as a criterion, and realizes the inversion of the F2 layer critical frequency, the peak height and the half thickness of the common ionospheric reflection area. The application uses the relative time difference between the receiving stations to replace the absolute propagation time delay for inversion, eliminates the influence of non-ionospheric factors such as the unknown transmission time, system delay and receiver clock difference, and improves the inversion precision and reliability.

The application relates to the technical field of gear production, and particularly provides a press-fitting verification system and method for gear production, which comprises a dynamic stress field capturing subsystem, a micro deformation field reconstruction subsystem and an integrated resonance verification subsystem. The method comprises the following steps: forming a piezoelectric nanowire network through a nanometer piezoelectric material deposition process, capturing a dynamic stress field in a press-fitting process, and outputting a stress field space-time sequence; receiving the stress field space-time sequence, reconstructing a micro deformation field of the gear through space-time deconvolution processing, realizing space-time deconvolution processing based on wave propagation principle, and outputting a deformation field distribution diagram; receiving the deformation field distribution diagram, synthesizing theoretical resonance characteristics through a structure resonance model, matching the structure resonance model with measured resonance characteristics through a discretized structure dynamics method, obtaining the measured resonance characteristics through an acoustic resonance scanner, and outputting a press-fitting quality verification value. The application improves the controllability of a gear press-fitting process and the reliability of a product.

The invention relates to an ocean dynamic wave direction sensing method and system based on an optical flow method, and the method comprises the following steps: S1, segmenting an input image, and obtaining a water surface image; s2, establishing a perspective projection model of a water surface plane and an image plane by adopting a BEV visual angle conversion algorithm, and converting the segmented water surface image into an aerial view image of an overlooking visual angle; s3, using a CLAHE algorithm to reinforce wave texture features in the aerial view image; and S4, setting multi-layer pyramid scaling by adopting a dense optical flow algorithm, calculating an optical flow field of a continuous multi-frame image sequence in the enhanced aerial view image, and counting a main optical flow direction to determine a wave propagation direction. According to the method, wave feature distortion caused by camera inclination is eliminated through a BEV visual angle conversion algorithm, the recognition precision is improved, and the self-adaptive image enhancement module can complete wave direction recognition in strong and dark light environments through a CLAHE algorithm; the method can be realized only by a common industrial camera without special water body marks or auxiliary equipment.

Systems and methods for using cross-well seismic data to image reservoir structures illuminated with sources located in a lateral well and receivers located in one or more nearby lateral wells. The systems and methods include numerical FWI algorithms and workflows based on an elastic vertical transverse isotropy (VTI) anisotropic full waveform inversion (EFWI) engine. The EFWI engine is used for inversions based on the cross-well seismic data and additional data (e.g., well logs, vertical seism profiles). Inversion results include 2D / 3D maps of elastic properties (e.g., velocity, anisotropy, density, attenuation) of subsurface. The EFWI engine includes a wave propagation modeling accounting for various seismic waves propagating in the subsurface.

The invention discloses a sonar detection distance evaluation method based on OTPA sound source level estimation. Performing multi-factor analysis on the underwater sound wave propagation path based on a transmission path analysis OTPA method, and establishing a sound wave propagation model; state information of the underwater target is monitored in real time; collecting sound wave signal data of the underwater target, constructing a sound wave data matrix, and performing singular value decomposition (SVD) and principal component analysis (PCA) processing to obtain a sound wave signal of the underwater target; and estimating the sound source level of the underwater target, and calculating the detection distance of the underwater target. Through fusion of singular value decomposition and principal component analysis, high-precision estimation of an underwater target sound source level and evaluation of a detected distance of the underwater target sound source level are realized, and the intelligent level and the real-time response capability of a sonar detection system are improved.

This invention discloses an adaptive wave-absorbing experimental device and method under a hypergravity field. The device includes: a model box with a top plate and a wave-absorbing mounting base plate installed on the underside of the top plate; a distance adjustment module including a first ball screw, a linear motion mechanism, and a first grid plate, wherein the linear motion mechanism is mounted on the wave-absorbing mounting base plate, and the first ball screw is used to move the first grid plate in the wave propagation direction through the linear motion mechanism to adjust the distance between the first grid plate and the side wall of the model box; an aperture ratio adjustment module including a second ball screw and a second grid plate, wherein the second ball screw is mounted on the first grid plate and is used to control the movement of the second grid plate perpendicular to the wave propagation direction to adjust the aperture ratio of the grid plate formed by the second grid plate and the first grid plate; and a control system for acquiring the wave height of the reflected wave and controlling the operation of the distance adjustment module and the aperture ratio adjustment module according to the wave height.

The invention discloses an in-ocean solitary wave amplitude rapid prediction method, an electronic device and a storage medium, and the method comprises the steps: carrying out the rapid prediction of the amplitude of an in-ocean solitary wave based on the in-ocean solitary wave data of an inter-year time scale of a target sea area; the method comprises the following steps: calculating a dimensionless parameter FrN according to the tidal current when an internal solitary wave is generated by an internal solitary wave generation source point, and a seawater buoyancy frequency maximum value and a water depth value of a sea area position with the maximum amplitude in the propagation process of the internal solitary wave along different ray directions, and counting a relational expression between the maximum amplitude and the dimensionless parameter FrN in the propagation process of the internal solitary wave; and in combination with a normalized change relational expression that the amplitude of the internal solitary wave changes along with time in the propagation process along different ray directions, predicting the amplitude of the newly generated internal solitary wave.

The invention discloses a steep transition type artificial surface plasmon low-pass filter based on a spur line structure, and belongs to the technical field of low-pass filters, the steep transition type artificial surface plasmon low-pass filter comprises a dielectric substrate, a coplanar waveguide is arranged on the upper surface of the dielectric substrate, and a spur line unit array is arranged on the lower surface of the dielectric substrate; the coplanar waveguide comprises a center conductor belt and grounding belts symmetrically distributed on the two sides of the center conductor belt, L-shaped groove unit arrays are etched on the grounding belts, the L-shaped groove unit arrays are distributed in the length direction of the coplanar waveguide, and each L-shaped groove unit array comprises a filtering unit and transition units symmetrically arranged at the two ends of the filtering unit. The spur line unit array is aligned with the center of the filtering unit on a projection plane perpendicular to the wave propagation direction. According to the steep transition type artificial surface plasmon low-pass filter based on the spur line structure, adjustable dispersion cut-off frequency and sharp transition from a pass band to a stop band are achieved, and meanwhile the structure is simple and miniaturized.