751 results about "Surface wave" patented technology

The invention provides a surface crack detection method and system based on array surface waves, and relates to the technical field of crack detection, and the method comprises the following steps: carrying out noise reduction and enhancement processing on an original signal collected by a workpiece, establishing an environment compensation mechanism, extracting a key sonic path distance characteristic and a crack characteristic from the processed signal, the features are input into a neural network to predict the crack size, theoretical verification is carried out in combination with a microdynamics model, and a final detection result is obtained through fusion of a prediction result and a theoretical result.

The invention provides a control method and system for a surface shape of an optical device, and the method comprises the steps: carrying out the initial grinding and polishing of the optical device, carrying out the real-time detection through a multi-frequency-band stress detector, obtaining the stress distribution and surface wave front data, and obtaining an initial detection result; a phase shift interferometer and a composite laser confocal probe are used to carry out depth surface shape measurement based on the initial detection result, and adaptive finishing is carried out on an abnormal area to obtain a surface shape finishing log; according to the initial detection result and the finishing log, executing step-by-step load irradiation and stress tracking, and collecting surface shape change under photo-thermal coupling to obtain surface shape evolution information; and according to the surface shape evolution information, performing partition dynamic compensation and real-time detection until a surface shape control result meeting requirements is obtained. According to the method, secondary deformation caused by internal stress release is recognized and corrected through combination of multi-frequency-band stress detection and high-precision interference measurement, high-precision control over the surface shape of the optical device is achieved, and the method is suitable for scenes with high requirements for the surface shape of the optical element.

The invention relates to an anisotropic elastic medium Rayleigh surface wave frequency dispersion curve inversion method, which comprises the steps of collecting near-earth surface wave exploration seismic data, obtaining a Rayleigh surface wave frequency dispersion energy diagram based on a phase shift method, and extracting a frequency dispersion curve from the frequency dispersion energy diagram based on a convolutional neural network artificial intelligence method; constructing a near-surface anisotropic elastic parameter initial model; calculating to obtain a theoretical Rayleigh surface wave dispersion curve by using a Rayleigh surface wave dispersion curve forward modeling method according to the current elastic parameter model; designing a loss function according to the observed Rayleigh surface wave dispersion curve and the theoretically calculated Rayleigh surface wave dispersion curve, and calculating and judging whether the loss function reaches a set threshold value or converges to a minimum value; if yes, outputting a current near-surface shear wave velocity model; if the conditions are not met, updating the shear wave velocity model by adopting a quasi-Newton method; and outputting the near-surface shear wave velocity model and the sensitive function of the Rayleigh surface wave frequency dispersion curve to the anisotropic elastic parameter after the loss function meets the condition.

The invention discloses a data processing method and system for micro-motion detection array station distribution, and relates to the technical field of micro-motion detection, and the method comprises the steps: according to the actually measured starting point coordinates and the azimuth angle of a measuring line, setting the measuring point distance, and the radius and number of nested triangle circumcircles, generating field station coordinates in batches; collecting and preprocessing station waveform data; calculating a spatial autocorrelation coefficient of any center station and a non-center station; dBSCAN clustering is carried out based on the station distance; performing spatial averaging on the spatial autocorrelation coefficient according to a clustering result; fitting the averaged spatial autocorrelation coefficient and a zero-order Bessel function to obtain a frequency dispersion spectrum, picking up a surface wave phase velocity in the frequency dispersion spectrum, and calculating an apparent shear wave velocity; inverting the shear wave velocity of the waveform data by adopting a self-adaptive gradient inversion strategy; and generating a velocity comprehensive profile of a depth domain and a frequency domain according to the surface wave phase velocity, the apparent shear wave velocity and the inverted shear wave velocity. The invention provides a new method for station distribution to data processing for micro-motion detection.

The invention relates to a near-surface defect positioning method based on a laser ultrasonic surface wave, which comprises the following steps of: extracting a defect tiny inverse signal and calculating reflection time delay by utilizing a high-frequency surface wave signal excited by laser through a wavenumber domain method to determine a defect position, and determining the burial depth of the defect through a reflection wave amplitude value of the defect; comprising the steps of S1, laser ultrasonic finite element simulation; s2, acquiring high-frequency laser ultrasonic signals; s3, direct wave and reflected wave extraction and time delay calculation; s4, determining defect space coordinates; and S5, determining the burial depth of the defect. The method makes full use of the advantages of high frequency and long propagation distance of surface waves, can effectively solve the problem of defect detection and positioning of the tested piece, can quickly detect the submillimeter defects, is high in positioning precision, and is suitable for positioning and detecting the submillimeter defects on the near surface of a structure.

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 provides a side slope crack passive source seismic wave imaging method, which adopts a multi-wave multi-component seismograph to simultaneously collect a plurality of seismic wave signals on three components, including surface waves, body waves and the like. According to the design, the richness of the data is remarkably improved, so that the physical characteristics of various seismic wave signals can be comprehensively utilized for inversion analysis in data processing. Through combined processing and constraint of different wave types, the problem of multiplicity of solutions in geophysical inversion can be effectively reduced, and the stability and reliability of a result are improved. In addition, due to acquisition of multi-component data, imaging is more comprehensive, and particularly, the method has obvious advantages in description of fracture directivity and geometrical characteristics.

The invention discloses a mine microseismic event self-positioning method and a mine microseismic event self-positioning system without a prior velocity structure, which realize integration of underground velocity structure inversion and seismic source positioning by jointly utilizing microseismic signals and surface wave interference noise generated in a mining process. Comprising the following steps: arranging an earth surface detector array to collect micro-motion and micro-seismic mixed signals; extracting a surface wave dispersion curve to invert a stratum S-wave velocity model, and further constructing a P-wave velocity model when the stratum Poisson's ratio in the geological data is known; carrying out seismic phase pickup after carrying out noise reduction on the microseismic signal, and obtaining first arrival time of a P wave and an S wave; and constructing a target function taking the first arrival time, the seismic source position, the seismic moment and the velocity model as parameters, and optimizing the target function to realize accurate positioning. According to the method, early-stage field acoustic logging construction of a mine is avoided, surface wave interference noise is fully utilized, the utilization rate of monitoring data is improved, and mine microseism event positioning without a prior speed structure is achieved.

The invention discloses a spectral analysis-based sea surface wave model construction method and system, and the method comprises the steps: carrying out the grid division of a sea surface, calculating parameters for each grid of the sea surface, and building a gravity wave model, a surge model and a shockwave model for the whole sea surface; obtaining a gravity waveform height amplitude according to the gravity wave model, obtaining a surge waveform height amplitude according to the surge model, and obtaining a shock wave height amplitude according to the established shock wave model; superposing the gravity waveform height amplitude, the surge waveform height amplitude and the shockwave height amplitude, and carrying out inverse fast Fourier transform on the superposed amplitudes to calculate a sea surface waveform height spectrum which changes along with time in an airspace within a certain range; and constructing a sea surface wave geometric model in an STL format according to the sea surface waveform height spectrum changing along with time in the airspace in a certain range. According to the invention, the authenticity and accuracy of simulation are improved.

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.

A broadband 4T4R automobile radar antenna disclosed by the present invention comprises an upper-layer radiation plate and a lower-layer feed plate, the upper-layer radiation plate is provided with a plurality of horn mouths and a plurality of EBG choke grooves, the horn mouths and the EBG choke grooves are distributed at intervals in a staggered manner, each horn mouth is internally provided with a plurality of radiation slots at unequal intervals, and the upper-layer radiation plate is provided with a plurality of feed slots. A waveguide feed port is arranged on the lower surface of the lower layer feed panel; compared with the prior art, in order to ensure the antenna gain, the choke design in the EBG form is adopted between the antenna units, the transmission of surface waves is effectively restrained, and the isolation degree between the antenna units is improved; the horizontal plane realizes a good gain effect by accurately optimizing taper pin distribution of the slot array and amplitude-phase excitation of the feed network, and has better sidelobe envelope directional diagram characteristics; and the width of the lobe on the horizontal plane is adjusted by adjusting the inclination angle of the horn mouth, so that the width reaches 63 + / -3 degrees, and the gain effect is effectively improved.

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 seismic detection, in particular to a surface wave frequency dispersion curve automatic extraction method and system and a storage medium. According to the surface wave frequency dispersion curve automatic extraction method provided by the invention, data point partitioning is performed on a surface wave frequency dispersion energy diagram based on data point extraction and clustering, then a central point in each region is extracted as a pick-up point through a mean value taking mode, and a frequency dispersion curve is constructed based on the pick-up point. The method breaks the current cognition of screening the frequency scatter points based on the principle of maximum energy, comprehensively considers the speed, energy and frequency to cluster the frequency scatter points, achieves the recognition of an energy concentration region mode, then extracts the frequency scatter points based on the clustering result, can accurately capture local features, avoids manual operation errors, and greatly improves the extraction precision of the frequency scatter points. The consistency and stability of extraction rules of frequency dispersion points in different areas are guaranteed, the height generality of a frequency dispersion curve to a surface wave frequency dispersion energy diagram is guaranteed, and high-precision and high-efficiency extraction of the frequency dispersion curve is guaranteed.

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 device comprises a cross beam horizontally and fixedly arranged above a rectangular channel section of an aqueduct in the left-right direction, and the portions, on the left side and the right side of a flow guide pier, below the cross beam are each provided with a grating type eddy current damping wave absorbing assembly. A water surface fluctuation monitoring sensor is arranged in front of the cross beam in the aqueduct, a fluctuation signal processor and a PLC are arranged on the cross beam, and the signal output end of the water surface fluctuation monitoring sensor is connected with the signal input end of the PLC through the fluctuation signal processor. The signal output end of the PLC is connected with the signal input end of the grating type eddy current damping wave absorbing assembly. The aqueduct has the following advantages that vertical oscillation of water in the aqueduct is effectively restrained, the vertical amplitude of water surface waves is reduced, and oscillation waves are prevented from splashing out of the aqueduct, so that the effective water cross section of the aqueduct is increased, the flow capacity of the aqueduct is improved, and the aqueduct is safe, low in energy consumption, low in cost and easy to implement.

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 steel pressure vessel outer wall surface crack detection method based on array surface waves, which comprises the following steps: S1, arranging a phased array probe on a detection object and carrying out scanning detection to obtain a detection signal and a detection image feature; s2, fan-shaped scanning parameters and array surface wave focusing rules of the phased array are set; s3, analyzing the detection signal and the detection image features, and calculating the crack length and the wall thickness of the pressure vessel according to the time of the crack opening end reflection pulse f1, the crack tip reflection pulse f2 and the conversion shear wave reflection pulse f3; s4, confirming the crack and correcting the length of the crack; according to the method, the detection efficiency and the quantitative detection capability of the surface opening crack defect are greatly improved.

The water surface floating type breakwater capable of dispersing the sea wave energy comprises a floating plate, the bottom of the floating plate is connected with a balancing weight through a fixedly-installed mooring rope, and the balancing weight is used for preventing anchor dragging of anchor mooring equipment; an underwater energy dissipation assembly is arranged at the bottom of the floating plate, and the underwater energy dissipation assembly is used for conducting energy dissipation treatment on energy under the water surface and attenuating the underwater energy; a water surface wave-proof assembly is arranged at the top of the floating plate and used for reducing energy of the sea waves step by step and dispersing the sea waves so as to reduce the overall sea wave energy.

The invention provides a surface wave information-based near-surface formation longitudinal wave velocity inversion method. The surface wave information-based near-surface formation longitudinal wave velocity inversion method comprises the following steps of: 1, extracting surface wave frequency dispersion data through a phase shift method; 2, according to the frequency dispersion curve, direct inversion is carried out to obtain the near-surface shear wave speed and thickness; step 3, calculating a W-D curve and a W / D-D curve; and 4, adding the W-D data and the W / D-D data into an objective function, and carrying out longitudinal wave velocity direct inversion. According to the near-surface formation longitudinal wave velocity inversion method based on the surface wave information, direct inversion of the near-surface formation longitudinal wave velocity can be achieved, information such as the transverse wave velocity, the formation thickness, the longitudinal wave velocity and the Poisson's ratio is obtained in the inversion process, and powerful research basis and support are provided for application of the surface wave information in oil exploration and engineering exploration.

The invention provides a four-feed-source four-polarization holographic metasurface antenna based on position weighted impedance superposition, which comprises a radiation array and four feed sources, and is characterized in that the radiation array comprises M * N radiation units which are periodically arranged and are provided with I-shaped gaps in an etching manner and are of a circular patch structure; the radius of the radiation unit is determined by the maximum equivalent scalar impedance obtained by performing weighted impedance superposition on tensor surface impedance distribution obtained when single polarized electromagnetic waves are generated by taking different feed sources as centers; the inclination angle of two transverse arms of the I-shaped gap relative to the X axis is the same as the propagation direction of electromagnetic waves corresponding to the maximum equivalent scalar impedance. According to the holographic metasurface antenna, the utilization efficiency of the radiation unit on the surface waves is effectively improved through the position weighted impedance superposition method, interference among different polarization components is reduced, the defect that the aperture efficiency is low due to the fact that a traditional impedance superposition method is adopted by the holographic metasurface antenna is overcome, and the aperture efficiency of the holographic metasurface antenna is improved by exciting the four feed sources respectively. And generation of four kinds of polarized electromagnetic waves is realized.

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 provides a non-contact measuring device and method for medium pressure in a pipeline based on an ultrasonic surface wave array, and the device comprises an ultrasonic surface wave array transmitting module, an ultrasonic surface wave receiving module, a signal amplification circuit, a high-speed signal collection card, a drive circuit, and an industrial control computer. Respectively sending driving instructions to the driving circuit when the medium pressure in the test pipeline is zero and the test pipeline is in a working state; after the amplified ultrasonic surface wave signals are received, extracting frequency signals including a zero-pressure state ultrasonic surface wave array frequency f0 and a working state ultrasonic surface wave array frequency f, calculating to obtain an ultrasonic surface wave array frequency difference value, and calculating a pressure indicating value through a pressure calculation formula; based on the ultrasonic surface wave array, the pressure of the medium in the pipeline is inverted by measuring the frequency of the ultrasonic surface wave, high-precision non-contact measurement of the pressure of the medium in the pipeline can be realized, and the sensor belongs to a novel mechanical sensor.

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.