614 results about "Surface wave" patented technology

The invention provides an airfield pavement detection method based on an earthquake background noise imaging technology, and relates to the technical field of airfield pavement detection. Comprising the following steps: acquiring seismic background noise data of an airport pavement to be measured; preprocessing the seismic background noise data to obtain preprocessed noise data; carrying out cross-correlation calculation on the preprocessed noise data and carrying out empirical Green function extraction; according to the empirical Green function, a surface wave group velocity frequency dispersion curve is extracted by adopting spatial autocorrelation and multiple filtering methods; inverting shear wave velocity distribution of each layer of the pavement based on the surface wave group velocity dispersion curve, and constructing a three-dimensional velocity model; determining a shear wave velocity distribution diagram according to the three-dimensional velocity model; and determining a detection result of the airfield pavement to be detected according to the transverse wave velocity distribution diagram. According to the invention, the problems of low detection precision and poor real-time performance of a common detection technology in the prior art are solved.

The invention discloses a seismic surface wave suppression method based on EWT-Curvelet, and belongs to the technical field of seismic exploration data processing. The method comprises the following steps: firstly, performing empirical wavelet transform (EWT) on post-stack seismic data channel by channel, extracting a frequency localized modal component through adaptive spectrum segmentation, and constructing a surface wave noise model; then converting the model to a curvelet domain, performing physical constraint filtering at a specific scale and in a nearly horizontal direction, and combining pixel connectivity analysis to suppress a continuous noise region; and finally, reconstructing and optimizing noise through inverse transformation and removing the noise from the original data. The method has the advantages that the modal aliasing problem is solved through channel-by-channel adaptive spectrum segmentation, a surface wave energy dense region is accurately locked by curvelet domain scale-direction combined filtering, isolated effective signals are protected in combination with connectivity analysis, high-precision suppression of surface waves is efficiently achieved in a non-iterative mode, meanwhile, the structural integrity of reflected waves is kept, and high-precision suppression of the surface waves is achieved. The seismic section signal-to-noise ratio and the geological interpretation precision are remarkably improved, and the method is suitable for land seismic exploration data processing.

The invention provides a method for detecting a welding seam by adopting an ultrasonic flaw detector, and belongs to the technical field of welding seam detection. The welding seam is divided into small welding sections, and each small welding section is subjected to multi-direction ultrasonic scanning; a scattering attenuation coefficient and a signal-to-noise ratio parameter are calculated to determine an optimal detection position direction vector group and an optimal time frequency group, and then a high-frequency narrow pulse probe is matched with a phased array focusing technology to carry out second detection according to the optimized parameter; and the identified defects are classified and evaluated according to the near surface blind area characteristic parameters, secondary verification is performed by adopting a surface wave supplementary detection algorithm, and finally a weld defect position distribution diagram is generated, so that the technical problem of low defect detection accuracy caused by serious ultrasonic scattering attenuation of a coarse grain structure weld material is solved.

The invention discloses a mountainous area wind field downscaling optimization method based on high-precision simulation, and relates to the technical field of meteorological numerical simulation, and the method comprises the steps: obtaining the terrain elevation data and meteorological monitoring data of a target mountainous area, recognizing slope abrupt change points, constructing a spiral sampling path, calculating a slope change value, determining the distance between sampling points, and generating target sampling data; performing orthogonal decomposition on the sampled data to obtain a frequency component, calculating a surface fluctuation coefficient, and constructing a boundary disturbance equation to obtain surface stress distribution; calculating an airflow motion state based on surface stress distribution, solving a vorticity equation to obtain vorticity characteristics of a leeward area, and calculating airflow motion correction parameters; and carrying out downscaling iterative operation on the corrected parameters and the meteorological monitoring data to generate target area wind field data with hectometer-magnitude spatial resolution. The simulation precision of the local wind field under the complex terrain condition is improved.

The invention discloses a multi-wave chromatography and reflection combined detection method and device for a thin-covering-layer urban active fault and a medium. The method comprises the steps that longitudinal wave seismic data and transverse wave seismic data are collected; recording vertical component data based on the longitudinal wave seismic data for first arrival travel time pickup and tomography inversion to obtain a longitudinal wave velocity structure model Vp; extracting Rayleigh surface wave frequency dispersion through the vertical component data and carrying out multichannel surface wave analysis inversion to obtain a transverse wave velocity structure model Vs; calculating a longitudinal and transverse wave velocity ratio parameter structure model Vp / Vs, and calculating to obtain a Poisson's ratio parameter structure model v; obtaining a longitudinal wave (P wave) reflection profile and a transverse wave (S wave) reflection profile; identifying and summarizing into an interpretation fracture set Fc, and recording key elements; and by taking the interpretation fracture set Fc as a structural skeleton, completing unified registration and superposition display on Vp, Vs, Vp / Vs and v, a longitudinal wave reflection profile and a transverse wave reflection profile, and outputting a shallow underground structure comprehensive interpretation map of the thin covering layer region.

The invention relates to the technical field of ocean new energy technology utilization, and discloses an oscillating water column type wave energy power generation system with an energy gathering structure at the bottom, which comprises a jacket, an air chamber, a turbine power generation system, a radar altimeter, an infrared camera, an airflow velocity sensor, a control host and a bottom energy gathering assembly, the bottom energy-gathering assembly is installed at the lower end of the air chamber and provided with a transmission mechanism, reflection and diversion of seawater at the bottom of the air chamber are achieved through the arranged horizontal bottom plate and the two symmetrically-arranged energy-gathering plates, energy gathering beyond the width of the air chamber is completed, and opening and closing of the energy-gathering plates are synchronously controlled through the transmission mechanism. And the amount of seawater flowing into the air chamber from the water inlet is changed. According to the wave energy power generation system, the oscillation intensity of the water column in the air chamber can be adjusted according to changes of sea surface waves, the speed of the generated air flow can be matched with the optimal working frequency of the turbine power generation system, the power generation efficiency of the device is guaranteed, and the oscillation water column type wave energy power generation device can be protected and prevented from being impacted by sea waves.

The invention relates to the technical field of helicopter aerodynamic force simulation, and discloses a sea rescue helicopter rotor aerodynamic force simulation method and system. The method comprises the following steps: acquiring a rotor wing downwash airflow historical speed data set, a historical sea surface wave data set and a historical aerodynamic pressure data set monitored within a preset historical time range; executing a dynamic volatility analysis process on the three types of historical data sets to generate a speed volatility index, a sea surface wave volatility index and an aerodynamic pressure volatility index; taking the three types of volatility indexes as guide parameters, performing adaptive search operation in a rotor aerodynamic force simulation parameter database, and determining an optimal simulation time interval; and performing numerical calculation simulation on pneumatic coupling between the rotor wing and the sea surface according to the optimal simulation time interval to generate a simulation data sequence, performing feature extraction and classification on the simulation data sequence by using an aerodynamic force recognition model, and outputting a rotor wing aerodynamic force simulation result.

The invention relates to the technical field of sensors, and provides a metamaterial biosensor and a using method, the metamaterial biosensor comprises a surface wave sensing structure used for constraining conventional electromagnetic waves into surface electromagnetic waves and guiding the surface electromagnetic waves with compressed wavelengths to be transmitted along a preset path so as to generate inter-field interaction with human tissues, and the surface wave sensing structure is used for transmitting the surface electromagnetic waves; and sensing physiological activity based on the inter-field interaction. According to the metamaterial physiological sensor and the use method, the problems that in the prior art, when physiological signals are monitored in a dynamic scene, sensitivity is low, and interference is prone to occurring are solved, and non-intrusive, comfortable and high-precision non-contact physiological signal monitoring is achieved.

The invention discloses a broadband millimeter wave magnetoelectric dipole filtering antenna unit and a filtering array, the antenna is realized by adopting a multi-layer printed circuit board, and the antenna comprises a radiation layer printed circuit board and a feed layer printed circuit board. The radiation layer printed circuit board is provided with a magnetoelectric dipole radiator, and an electric dipole patch etched with an H-shaped gap reduces the size of the radiator while achieving low-frequency good filtering. A substrate integrated waveguide (SIW) cavity is arranged around the magnetoelectric dipole radiator, so that surface waves are suppressed, and the overall suppression effect of a stop band is enhanced. A strip line fed by a coaxial probe and a shielding SIW cavity structure are integrated on a feed layer printed circuit board, and the feed structure generates two radiation zero points at high frequency, so that good filtering response is realized. The antenna provided by the invention has the advantages of wide frequency band, small size, high out-of-band rejection level and frequency selectivity.

The invention provides a photovoltaic power generation optimization method for a fishing-light complementary site and a related device. The method comprises the following steps: acquiring a photovoltaic panel sunlight angle, a water surface wind speed, a water surface wave height, a water depth, a photovoltaic panel core parameter, a reflector parameter and double-measuring-point actually-measured light intensity data; determining the initial receiving radiation quantity of the photovoltaic panel according to the sunlight angle of the photovoltaic panel, the core parameters of the photovoltaic panel, the parameters of the reflector and the actually measured light intensity data of the double measuring points; according to the water surface wind speed, the water surface wave height, the water depth, the double-measuring-point actually-measured light intensity data and the reflector parameters, the water surface correction reflection coefficient is determined; correcting the initial received radiation quantity of the photovoltaic panel by adopting the water surface correction reflection coefficient to obtain the actual received radiation quantity of the photovoltaic panel; and according to the actually received radiation quantity of the photovoltaic panel, the inclination angle of the photovoltaic panel is adjusted, and then the photovoltaic power generation process of the fishing-light complementary site is optimized. Excessive concentration of local radiation quantity caused by secondary reflection of sunlight through a water surface-reflector can be avoided, and generation of hot spots on the photovoltaic panel is inhibited.

The invention relates to the technical field of equipment state monitoring, in particular to a heating station equipment health state monitoring system and method. The method comprises the following steps: acquiring structural data of heating station equipment; carrying out topological structure analysis on the heating station based on the heating station equipment structure data to generate heating station equipment topological data; carrying out virtual simulation modeling on the structural data of the heating station equipment by utilizing the topological data of the heating station equipment to generate a three-dimensional model of the heating station equipment; extracting a heat exchanger area of the three-dimensional model of the heating station equipment, and performing heat exchange pipeline path analysis on the heat exchanger area to generate heat exchange circulation data; and surface acoustic wave sensor data acquisition is carried out based on the heat exchanger area to obtain heat exchange surface wave group speed change data. According to the method, through structural topology modeling, fine heat exchange area monitoring, dynamic damage accumulation analysis and closed-loop operation optimization, the accurate monitoring and risk early warning capability of the health state of the heating station equipment is comprehensively improved.

The invention discloses a tunnel surrounding rock comprehensive elastic modulus testing method and system based on a surface wave method, and relates to the technical field of tunnel surrounding rock elastic model testing, and the method comprises the steps: collecting surface wave signals through detectors in a plurality of detection holes preset in a tunnel wall on the premise of exciting a seismic source signal; performing signal conversion on each preprocessed surface wave signal to obtain a plurality of first signals of a frequency domain type; performing smooth summation processing on the first signals subjected to the linear dynamic correction processing to obtain an output result; obtaining corresponding surface wave energy data through the output result, and obtaining a corresponding surface wave frequency dispersion curve based on extraction of the surface wave energy data; according to the surface wave dispersion curve, surface wave velocities of different depths in the surrounding rock are obtained through inversion, and the comprehensive elastic modulus of the tunnel surrounding rock is obtained through calculation based on the surface wave velocities; testing is carried out based on a surface wave method, drilling and coring are not needed, and the method has the advantages of high testing efficiency, low cost, small disturbance to surrounding rock and the like.

The invention discloses a seismic data acquisition device based on a ground 3C-DAS optical cable and an acquisition method thereof, is applied to the field of seismic exploration, and aims to solve the problems of high layout cost, too long construction time and low operation efficiency of an existing ground three-component detector. According to the method, a 3C-DAS armored optical cable is buried under a shallow earth surface in a parallel or orthogonal mode, a ground multichannel low-frequency DAS modulation-demodulation instrument collects phase data of Rayleigh scattering light reflected back from the 3C-DAS armored optical cable and carries out modulation-demodulation processing, and high-density distributed three-component seismic data distributed along the 3C-DAS armored optical cable is obtained; according to the system, high-density distributed three-component ground seismic data along the armored optical cable can be rapidly and efficiently acquired at low cost; the invention also provides a processing method for the collected high-density distributed three-component ground seismic data, an analysis method for a shallow surface velocity structure with high spatial resolution, and an inversion imaging method for longitudinal waves, transverse waves and surface waves.

The invention discloses a wafer defect detection method and device, and relates to the technical field of semiconductor manufacturing, and the method mainly comprises the steps: transmitting an ultrasonic signal and a surface wave signal to a to-be-detected wafer based on a detection parameter of the to-be-detected wafer, and collecting a reflection signal of the ultrasonic signal and a propagation signal of the surface wave signal; the reflection characteristic of the reflection signal and the propagation characteristic of the propagation signal are extracted, and first defect information of the wafer to be detected is identified based on the reflection characteristic and the propagation characteristic; fusing the reflection characteristics and the propagation characteristics to obtain characteristic parameters of the to-be-detected wafer, and identifying second defect information of the to-be-detected wafer based on the characteristic parameters; and identifying target defect information of the wafer to be detected based on the first defect information and the second defect information. Defect detection is completed based on nondestructive ultrasonic waves, surface waves and fusion processing of the nondestructive ultrasonic waves and the surface waves, and detection is more accurate.

The invention provides a normal alignment algorithm of an ultrasonic probe, which belongs to the technical field of ultrasonic detection, and comprises the following steps of: automatically judging whether the current posture is vertical or not after a probe moves to a rough measurement point of a preset motion path by utilizing the distribution rule of ultrasonic time domain surface wave signal amplitude, and running a correction program when a deflection angle exists, so that the normal alignment of the ultrasonic probe is realized. And real-time waveform data is fed back to a motion actuator, and the actuator judges a result and guides the next motion, so that deflection correction of an unknown deflection angle is realized, a closed-loop control scheme of a control strategy and ultrasonic detection is constructed, and the ultrasonic thickness measurement precision and efficiency are effectively improved. The method is widely suitable for ultrasonic thickness measurement under industrial plane or curved surface coarse positioning.

The present disclosure relates to methods and apparatus for characterising an interaction between a stimulus and a liquid thin film. An aspect of the disclosure provides a spectroscopic ellipsometry apparatus for characterising an interaction between a stimulus and a liquid thin film, the apparatus comprising: a stimulator, configured to provide a stimulus to a liquid thin film disposed on a volume of liquid to generate a wave in the liquid thin film, the liquid thin film and the volume of liquid having an interface therebetween, light beam optics for illuminating an area of the liquid thin film with a light beam, the light beam having a first polarisation, and a light collector coupled to a detector for receiving the light beam after reflection by the liquid thin film, the light beam having a second polarisation after reflection by the liquid thin film; a wave measurement module coupled to the light collector and configured to provide surface wave data to characterise a Lucassen wave in the liquid thin film based on the second polarisation.

The invention relates to the technical field of pressure vessel health monitoring and nondestructive testing, in particular to an electromagnetic acoustic surface wave-based pressure vessel intergranular corrosion non-contact detection system, which comprises the following modules: a multi-field coupling electromagnetic acoustic surface wave detection module, which comprises a plurality of detection unit arrays, each detection unit comprises a magnetic biasing module and an impedance matching module and is used for generating a local magnetic field on the surface of the pressure vessel and optimizing signal excitation and receiving; and the signal acquisition and preprocessing module is used for acquiring the surface wave signal of the detection module and carrying out denoising, filtering, curved surface coupling difference correction and lift-off correction on the signal to obtain high-quality signal data. According to the method, non-contact quantitative detection of the intergranular corrosion of the pressure vessel is realized through multi-field coupling electromagnetic acoustic surface wave detection and microscopic and macroscopic mapping and inversion, so that the problem that early corrosion is difficult to quantify due to the fact that contact ultrasound is mostly adopted in traditional pressure vessel detection and grain boundary micro-damage cannot be effectively identified is solved.

On-demand functionalized textiles for near field body area networks in accordance with embodiments of the invention are disclosed. In one embodiment, a body area network is provided, the body area network including: a first array of magnetically coupled resonators configured to propagate magneto-inductive (MI) surface waves, where the first array of magnetically coupled resonators comprises a plurality of MI elements, and where the first array of magnetically coupled resonators creates a flexible magnetic metamaterial path for wireless communication using the MI surface waves.

The invention discloses an ultrasonic detection method, device and equipment for pore size distribution of a metal additive part, a medium and a product, and relates to the field of intelligent manufacturing equipment.The method comprises the steps that an ultrasonic surface wave frequency domain attenuation rate set is calculated based on a time domain signal; the time-domain signal is a time-domain signal of an ultrasonic surface wave generated after laser irradiates the to-be-detected metal additive part; on the basis of the ultrasonic surface wave frequency domain attenuation rate set, the equivalent average diameter and the diameter standard deviation of the pores of the to-be-detected metal additive part are calculated, and the pore size distribution of the to-be-detected metal additive part is obtained, and the pore size distribution of the to-be-detected metal additive part can be detected.

The invention discloses a real-time rendering method and system for physical simulation water surface waves, and the method comprises the following steps: constructing a generative adversarial network, obtaining a wave vector and an environment parameter variable of the waves, inputting the environment parameter variable into the pre-constructed generative adversarial network, and calculating the height of the waves through a Tessendorf method; calculating wave displacement through Fourier transform and inverse transform in a frequency domain based on the wave vector; calculating the velocity complex amplitude of the corresponding wave based on the wave vector, introducing a micro-scale vortex velocity field based on a particle system, and calculating the wave velocity based on the velocity complex amplitude and the micro-scale vortex field; and based on the wave height, the wave displacement and the wave speed, performing water surface wave rendering by adopting multi-cascade dynamic. According to the method, the physical rationality and visual authenticity of water surface wave simulation are improved, and water body physical simulation is promoted to develop from visual driving to the fusion direction of physical driving and data driving.

The invention discloses a circumferential liquid film surface wave observation device and method based on a miniature high-speed camera. The circumferential liquid film surface wave observation device comprises a centrifugal nozzle, a laser, the high-speed miniature camera and a synchronizer, the centrifugal nozzle can spray a conical liquid film; the high-speed miniature camera is located at the central gas nucleus of the conical liquid film, and the optical axis coincides with the axis of the centrifugal nozzle; a narrow-band optical filter is arranged on the surface of an optical lens of the high-speed miniature camera; the laser can emit plane laser perpendicular to the axis of the centrifugal nozzle to the conical liquid film; wherein the wavelength of the planar laser is equal to the central wavelength of the narrow-band optical filter; and the synchronizer is respectively connected with the laser and the high-speed miniature camera. According to the method, a frozen instantaneous circumferential liquid film form without background interference can be obtained, a surface wave growth factor and a breaking critical criterion can be accurately quantified, and the development and evolution process of the circumferential surface wave of the liquid film is further obtained through high-speed shooting.

The invention relates to a method for calibrating an ultrasonic flowmeter, which is coupled to a pipe (1), for measuring a flow velocity or a volumetric flow rate of a fluid by means of two ultrasonic transducers (2, 3) spaced apart from one another, wherein the main directions of the ultrasonic transducers (2, 3) are oriented at an angle to one another in a symmetrical V shape. The aim of the invention is to provide an improved method which allows the ultrasonic flowmeter to be installed on a pipe with minimal effort, even by untrained personnel, without the accuracy of the measurement being impaired. For this purpose, the invention proposes the following steps: - ascertaining the propagation speed of an ultrasonic signal propagating through the pipe wall as a surface wave; - ascertaining the wall thickness of the pipe by determining the propagation time of an ultrasonic signal through the pipe wall; - ascertaining the inner diameter of the pipe by deriving it from the value of the adjusted angle and the distance of the ultrasonic transducers, - adjusting the angle to the ascertained pipe geometry by means of at least one motorized actuating drive (5) which sets the angle and an electronic calibration device (6) which interacts with the actuating drive (5).

The invention relates to a laminated assembly and a vehicle. The laminated assembly comprises a dielectric substrate; the metal ground is arranged on one surface of the dielectric substrate, and a slot line is formed in the metal ground to form an equivalent surface wave emitter; the feed structure is arranged on the surface wave emitter, and the feed structure is used for accessing a feed signal to excite the surface wave emitter to transmit a TM0 mode surface wave signal of a preset frequency band; the surface impedance modulation layer is arranged on the other side of the dielectric substrate, the surface impedance modulation layer is used for modulating surface wave signals, and the projection of the surface impedance modulation layer on the metal ground is located in the area where the metal ground is located; therefore, the included angle between the main radiation direction of the electromagnetic wave signal of the laminated component and the dielectric substrate is a non-zero preset angle, communication direction selection is realized, and the communication requirement in the application scene of the laminated component is met. When applied to obliquely mounted glass such as front windshields and rear windshields, the electromagnetic waves radiated in the horizontal direction are supported.

The invention discloses a method and a system for detecting fracture impact elastic waves of a prestressed tendon of a prestressed composite steel cylinder concrete pipe. The method comprises the following steps: S1, obtaining the surface wave velocity of pipe core concrete; s2, obtaining the predominant frequency, the P wave arrival time and the P wave velocity of the signal; s3, calculating the component thickness of the measuring point; s4, executing S1-S3 on all the measuring points in the measuring area to obtain P-wave velocity, predominant frequency, P-wave arrival time and component thickness of all the measuring points to form a data set; and S5, reconstructing the P-wave velocity, the predominant frequency, the P-wave time, the component thickness and whether the label is broken into a time sequence, designing a double-layer LSTM network, and training an LSTM model. According to the invention, the machine learning technology is utilized to comprehensively consider the influence of the P-wave velocity change of the pipe core concrete caused by the breakage of the prestressed tendon and the stripping of an external mortar protective layer on the thickness of the component, and the breakage position of the prestressed tendon of the prestressed composite steel cylinder concrete pipe can be detected.

The invention relates to the technical field of ocean engineering, in particular to a wind power single pile local scouring real-time detection method based on multi-frequency acoustic tomography, which comprises the following steps: S1, annularly arranging an acoustic sensor array on the section above the water surface of a pile body; s2, transmitting multi-frequency sound wave signals including low-frequency penetrating waves and high-frequency surface waves; s3, scattered wave signals reflected by the pile-seabed interface are collected, and low-frequency scattered waves and high-frequency scattered waves corresponding to the frequency in S2 are separated; s4, constructing a mud layer penetration acoustic tomography matrix and a surface topography acoustic tomography matrix; s5, three-dimensional data fusion is carried out, and a three-dimensional image of the scouring state of the seabed around the pile is generated; and S6, a scouring pit is positioned according to a sound wave propagation time delay sudden change area in the three-dimensional image of the scouring state. According to the method, the scouring state of the seabed around the wind power single pile foundation can be accurately monitored by combining the multi-frequency acoustic tomography technology and time delay abrupt change area detection.

The invention relates to an on-chip dynamic control device for the wavefront of a terahertz metasurface transmission wave or surface wave, and belongs to the technical field of electromagnetic wave wavefront control devices. Since the traditional phase gradient metasurface fails to dynamically control the wavefront of a transmission wave or surface wave, the present invention combines an integrated photosensitive material metasurface with a spatially coded light source to realize on-chip dynamic control of the wavefront of a terahertz transmission wave or surface wave. The device deposits a dielectric layer on a metal reflective bottom plate, and the top layer of the dielectric layer is divided into two regions: an excitation region and an intrinsic region. The excitation region is composed of a metal ring array with multiple openings uniformly distributed and photosensitive materials deposited at the openings. By controlling the intensity of the pump light source irradiating the photosensitive material, a 2-bit coding unit is formed. The excitation region is constructed according to a preset coding sequence. When a circularly polarized wave is incident on the surface of the excitation region, a transmission wave or surface wave can be generated. By changing the coding sequence, the phase of the transmission wave or surface wave is reconstructed, and the wavefront of the transmission wave or surface wave is dynamically controlled, thereby realizing an on-chip dynamic control device for the wavefront of a transmission wave or surface wave.

A wave radar image inversion method based on a convolutional neural network, and the application thereof, which relate to the field of sea condition monitoring. A convolutional neural network autoencoder is used, and a training set generated by means of a simulation tool is input into the convolutional neural network autoencoder for supervised training, wherein an X-band radar image of an inversion region is an input of the training set, and a corresponding sea surface wave height map is an output of the training set, thereby obtaining a mapping relationship model therebetween. The convolutional neural network autoencoder comprises an encoder, fully connected layers and a decoder, wherein the encoder comprises five convolutional layers and five maximum pooling layers, the convolutional layers and the maximum pooling layers being alternately connected, the fully connected layers are two symmetric layers, and the decoder comprises five deconvolutional layers. Using a convolutional neural network deep learning algorithm achieves a better effect in restoring nonlinear components. Using an autoencoder technique can directly restore an X-band radar wave image to a real-time sea surface wave height map with a relatively small error, and can more comprehensively display sea condition information.

The invention provides a broadcast ephemeris-based high-frequency GNSS PGV (Global Navigation Satellite System) surface wave magnitude fast reporting method and equipment, which support the realization of high-frequency GNSS surface wave magnitude fast reporting by only using real-time available broadcast ephemeris and high-frequency GNSS observation data, and a receiver of a high-frequency GNSS observation station acquires the high-frequency GNSS observation data and the broadcast ephemeris in real time and sends the high-frequency GNSS observation data and the broadcast ephemeris to a ground computing center; the ground calculation center calculates the speed of the station in real time according to the observation data and the broadcast ephemeris, and judges earthquake triggering according to a continuous four-epoch judgment criterion; if the station triggers the earthquake, calculating the magnitude of the PGV surface wave; and when at least three stations trigger an earthquake, calculating a weighted average value based on the PGV surface wave magnitude of each station, and sending the weighted average value to an earthquake early warning center. According to the scheme, earthquake triggering is judged according to the continuous four-epoch judgment criterion, the engineering application performance of the PGV surface wave magnitude method is improved, and accurate earthquake magnitude information is provided for large earthquake early warning, rapid post-earthquake disaster assessment, emergency response and the like.

The invention relates to a physical condition embedded seismic surface wave intelligent inversion method and device and a medium, and the method comprises the steps: obtaining the seismic surface wave data of an active source or a passive source to be inverted, and carrying out the extraction through a frequency dispersion analysis method, and obtaining an observation frequency dispersion curve of the seismic surface wave data; constructing an initial shear wave velocity model, obtaining a theoretical frequency dispersion curve and a sensitivity matrix of the initial shear wave velocity model, and calculating physical condition embedding of the observation frequency dispersion curve based on the theoretical frequency dispersion curve and the sensitivity matrix of the theoretical frequency dispersion curve; based on an initial shear wave velocity model and physical condition embedding, an inversion model is used for iterative solution to obtain an inversion shear wave velocity model, and the device and the medium are used for implementing the method. Compared with the prior art, the method has the advantages that the problem that an initial model is easy to fall into a local minimum value due to manual selection is avoided, the inversion precision of the seismic surface waves is improved, the limitation of fixed input or output dimensions is eliminated, and the applicability of the inversion method in processing actual seismic surface wave data is remarkably improved.

The present invention is directed to an analytical method, using surface waves excited in a liquid system forming part of a sensor, to determine a property of a test substance. An aspect of the disclosure provides a method for controlling a sensor for determining a property of a test substance, the sensor having a sensitivity and dynamic range, the sensor comprising: a liquid system comprising: a bulk liquid phase carrying a thin film on the surface of the bulk liquid phase: wherein the thin film comprises a film material and wherein the thin film exhibits an electrical response to mechanical stress and vice versa wherein said response depends on the thermodynamic state of the liquid system, the sensor configured to: contact the surface of the liquid system with the test substance thereby to generate a surface wave on the liquid system: and, determine the property of the test substance based on parameters of the surface wave: wherein the method for controlling the sensor comprises: controlling the sensitivity by changing a thermodynamic parameter of the liquid system.