44 results about "Body waves" patented technology

The invention discloses a background noise body wave extraction method and device based on distributed optical fiber acoustic sensing, and the method comprises the steps: obtaining an original phase difference signal along an optical fiber channel through a distributed optical fiber acoustic sensing system, and converting the original phase difference signal into strain rate data according to system demodulation parameters; performing preprocessing such as noise suppression and frequency energy balance on the strain rate data; calculating an autocorrelation function for the preprocessed signal, and superposing autocorrelation results of a plurality of time segments; performing band-pass filtering on the superposition autocorrelation function in a target frequency band, and extracting a body wave reflection response in background noise; and in order to eliminate the influence of the zero-time pulse in the shallow layer or weak reflection signal, carrying out mean value removal processing on the extraction result along the space direction to obtain a zero-offset body wave reflection response. The method can effectively describe the discontinuity from a superficial sedimentary layer and a fracture to a deep mourhua surface and even a lithosphere, and makes up for the defects of a conventional seismic station method.

The invention discloses a surface acoustic wave device and a radio frequency front end module, the surface acoustic wave device comprises a piezoelectric layer, a sound velocity layer and an interdigital electrode, and the interdigital electrode comprises a plurality of electrode fingers. The piezoelectric layer is provided with a first surface and a second surface which are oppositely arranged, the interdigital electrode is arranged on the first surface of the piezoelectric layer, and the sound velocity layer is arranged on the second surface of the piezoelectric layer; sound waves generated when the surface acoustic wave device works comprise surface acoustic waves and body waves; the surface acoustic wave device has a first characteristic depth, and the thickness of the piezoelectric layer is smaller than the first characteristic depth; wherein the first characteristic depth is related to the midline distance between two adjacent electrode fingers of the interdigital electrode, the bulk wave sound velocity of the piezoelectric crystal in the x direction and the working frequency. The sound velocity layer is directly arranged below the piezoelectric layer, the thickness of the piezoelectric layer is limited to be smaller than the first characteristic depth, and the thickness of the piezoelectric layer is reasonably reduced, so that the sound velocity of the surface wave is obviously improved or reduced, and meanwhile, the influence on the effects of other functional layers is avoided.

The invention provides a defect type evaluation system and method based on electromagnetic ultrasonic echoes, and the system comprises an excitation signal transmitting module, an echo signal receiving module, a short-time Fourier transform module, and a defect type analysis module. Wherein the excitation signal sending module is used for sending a body wave excitation signal to a to-be-tested product so as to generate an ultrasonic vibration signal in the to-be-tested product; under the action of a to-be-detected defect in the to-be-detected product, the ultrasonic vibration signal forms an ultrasonic echo signal; the echo signal receiving module is used for receiving the ultrasonic echo signal and generating an echo voltage signal; the short-time Fourier transform module is used for performing short-time Fourier transform on the echo voltage signal to form an echo local frequency spectrum; and the defect type analysis module is used for analyzing the echo local frequency spectrum so as to judge the defect type of the defect to be detected. The problem that the defect type in the metal plate cannot be effectively identified can be solved.

The invention discloses a seaplane wave sliding load spectrum compilation method. The method comprises the steps of determining gravity center acceleration data of pool test data of each task section according to overall and structural parameters of a seaplane; comparing a gravity center acceleration time history curve representing the gravity center acceleration data with an airframe trim angle time history curve, and intercepting stable section data of each task section; performing power spectrum density analysis on acceleration overload / overload increment in the stable section data to obtain an acceleration characteristic frequency band; determining a cut-off frequency according to the acceleration characteristic frequency band, and filtering the stable section data; carrying out accumulated transcendental statistics on the filtered stable section data to obtain an accumulated transcendental curve of each task section; according to the time proportion of each task segment and the similarity criterion, obtaining an accumulative surpassing curve of each task segment of the real machine water surface operation; and forming a body wave sliding equivalent spectrum according to a damage equivalence criterion. The technical problem of compiling and verifying the water skiing fatigue load spectrum of the seaplane is solved.

The invention belongs to the technical field of geophysical exploration, particularly relates to a background noise seismic frequency imaging method and system based on autocorrelation, and aims to solve the problem that an existing background noise exploration method is insufficient in resolution. The method comprises the following steps: acquiring background noise data of a plurality of acquisition points in a target area and segmenting the background noise data to obtain horizontal component signals in different directions; performing self-correlation calculation on each horizontal component signal to obtain a plurality of sections of self-correlation sequences, performing frequency domain conversion, and performing superposition according to directions to obtain a north component characteristic frequency spectrum and an east component characteristic frequency spectrum; and combining the east characteristic frequency spectrum and the north characteristic frequency spectrum, mapping the combined frequency spectrum into the depth of the underground anomalous body, and generating a frequency imaging result. According to the method, after self-correlation processing, the passive source body wave signals are transmitted in a frequency domain and reflected on the ground surface through an underground geological interface to interfere and perform imaging, the exploration cost is low, the applicability is high, and the imaging resolution of low-speed anomalous bodies such as karst is high.

The invention discloses a bionic robotic fish cooperatively driven by rigid-flexible coupling pectoral fins and a variable-rigidity body, a left pectoral fin mechanism and a right pectoral fin mechanism are arranged in a mirror image manner and are mounted at an inclined included angle relative to a longitudinal neutral plane of a fish body, and branch fin bones in pectoral fins realize two-degree-of-freedom wing rocking and flapping movement by adopting coaxial gears and rope winding mechanisms; the pectoral fin on each side is provided with a plurality of fin rays, rigid and flexible joints are alternately matched with an elastic substrate and paired memory alloy wires for antagonistic actuation to realize controllable bending and traveling waves, and a hydrogel fin film is integrally poured outside the pectoral fin to form a continuous stress surface and ensure watertightness; the body part is driven by left and right pull wires which are wound and unwound in a differential mode and driving and driven gears to achieve bidirectional large-stroke bending, memory alloy actuators which are symmetrical up and down and hyperelastic wires are overlaid to regulate and control pretension and stress paths, and continuous adjustment of equivalent bending rigidity and damping is achieved. According to the structure, fin-body fusion, pectoral fin beat / wave coupling motion and body traveling wave propagation cooperative work are achieved under the compact size, and efficient propelling and sensitive maneuvering are both considered.

The utility model discloses a surface acoustic wave filter with high performance, which comprises a substrate layer, a piezoelectric layer and a resonator metal layer, the piezoelectric layer is arranged above the substrate layer, the resonator metal layer is arranged above the piezoelectric layer, and the resonator metal layer is arranged above the piezoelectric layer. The upper surface of an electrode connecting area in the resonator metal layer is further covered with a covering metal layer, a channel cavity is further formed in the portion, below the resonator metal layer, of the substrate layer, and the range of the channel cavity covers the interdigital transducer of the resonator metal layer. The surface acoustic wave filter can obstruct the transmission of body waves and improve the tolerance power at the same time.

The invention discloses a wall vibration isolation system suitable for periodic bending of a high and steep roadbed fill slope, which comprises a plurality of vibration isolation structure units arranged according to a period, each vibration isolation structure unit comprises a straight wall (1), an upper covering plate (2), a middle covering plate (3) and a bottom plate (4), and effective control of Rayleigh waves is realized through a specific structure size and arrangement mode; the straight wall (1) is a main body part of the vibration isolation structure unit, is arranged perpendicular to the ground and is used for reflecting a horizontal component of Rayleigh waves; the upper covering plate (2) is of a plate-shaped structure horizontally extending from the top of the straight wall (1) to the vibration source direction and is used for enhancing constraint of a top soil body and a wall body. The middle covering plate (3) is arranged at the middle position of the straight wall (1), horizontally extends towards the direction of a vibration source, is in synergistic effect with the upper covering plate (2), and is used for segmenting the influence range of Rayleigh waves; the bottom plate (4) is arranged at the bottom of the straight wall (1), horizontally extends towards the two sides and is used for restraining displacement of the bottom of the straight wall and promoting conversion from surface waves to body waves.

The application discloses a background noise body wave extraction method and device based on a distributed optical fiber acoustic sensing, and the method comprises the following steps: acquiring an original phase difference signal along an optical fiber channel by using a distributed optical fiber acoustic sensing system, and converting the original phase difference signal into strain rate data according to system demodulation parameters; performing noise suppression, frequency energy equalization and other pretreatments on the strain rate data; calculating an autocorrelation function of the pretreated signal, and superimposing autocorrelation results of multiple time segments; performing band-pass filtering on the superimposed autocorrelation function in a target frequency band, and extracting a body wave reflection response in the background noise; in order to eliminate the influence of a zero-time pulse in a shallow layer or a weak reflection signal, performing a mean removal processing on the extraction result along a space direction, and obtaining a zero-offset body wave reflection response. The method can effectively depict discontinuities from a shallow sediment layer, a fracture to a deep Moho surface and even a lithosphere, and makes up for the shortcomings of a conventional seismic station method.

The application belongs to the technical field of geophysical exploration, and particularly relates to a background noise seismic frequency imaging method and system based on autocorrelation, aiming to solve the problem of insufficient resolution of the existing background noise exploration method. The method comprises the following steps: obtaining background noise data of multiple acquisition points in a target area and segmenting, to obtain horizontal component signals in different directions; performing autocorrelation calculation on each horizontal component signal, respectively, to obtain multiple autocorrelation sequences, then performing frequency domain conversion, respectively, and stacking according to the direction, to obtain a north component characteristic frequency spectrum and an east component characteristic frequency spectrum; merging the east component characteristic frequency spectrum and the north component characteristic frequency spectrum, to map the underground abnormal body depth, to generate a frequency imaging result. After autocorrelation processing, the passive source body wave signal propagation is used in the frequency domain to reflect on the ground interference for imaging through the underground geological interface, the exploration cost is low, the applicability is strong, and the imaging resolution of karst and other low-velocity abnormal bodies is high.

This invention discloses a multi-information source mechanism calculation method based on earthquake early warning station network observations. The method includes selecting velocity and acceleration recorded waveforms to form an input database; obtaining the P-wave initial motion polarity through manual picking and template matching techniques; calculating the source mechanism using a grid scanning method, and using solutions with an inconsistency ratio below a threshold as preliminary solutions; manually screening P-wave and S-wave phase waveforms; and jointly using initial motion polarity, S / P amplitude ratio, and body wave waveform as constraints to calculate the probability value of each preliminary solution. The probability distribution of clustered solutions is obtained through the Akaike information criterion and cluster analysis to obtain the optimal source mechanism calculation result. This invention, based on joint inversion calculations using acceleration records from early warning stations and velocity records from seismic stations, lowers the lower limit of the magnitude of earthquakes with computable source mechanisms. The comprehensive use of three types of information constraints improves the reliability of the results, and the calculation of the probability distribution of clustered solutions reduces the adverse effects of multiple solutions, thus improving the stability of the results.

The invention discloses an earthquake background noise super ghost reflection imaging method, and relates to the technical field of seismological detection. The method comprises the following steps: acquiring body wave background noise data acquired by a plurality of seismic stations on a ground surface survey line, selecting two adjacent stations as a first station and a second station, and taking the rest as auxiliary stations; and performing mutual correlation on the auxiliary station data and the first station data and the second station data to obtain a first mutual correlation result and a second mutual correlation result, and performing mutual correlation on the first mutual correlation result and the second mutual correlation result to obtain a bulk wave imaging result of the current auxiliary station on the adjacent station. And calculating and superposing the result of each auxiliary station to obtain the imaging result of the current adjacent station. And traversing all adjacent stations, and finally obtaining a background noise ultra-ghost reflection imaging result below the whole measuring line. The method provided by the invention can effectively improve the resolution of seismic background noise body wave imaging.

The invention discloses a joint inversion three-dimensional quality factor method, which comprises the following steps of: acquiring average attenuation travel time through an initial three-dimensional quality factor (Q value) and an average attenuation travel time formula, and acquiring a theoretical frequency spectrum amplitude at the frequency by combining a plurality of initial values including corner frequency, field effect, low-frequency amplitude and frequency and an amplitude formula; converting the displacement frequency spectrum amplitude in the frequency domain into an observation frequency spectrum amplitude in a natural logarithm domain, and obtaining a residual vector formula in combination with a theoretical frequency spectrum amplitude; a formula obtained after meshing of the seismic wave three-dimensional propagation speed and the initial Q value in the average attenuation travel time formula is substituted into a residual vector formula, smooth constraint and damping parameters are added to obtain a new residual vector formula, and the new residual vector formula is solved to obtain a value of a parameter disturbance quantity; superposing the values to the plurality of initial values to obtain a plurality of new initial values of the next round of iteration; and substituting the initial three-dimensional Q value back to a residual vector formula to obtain a residual vector, and taking the new initial three-dimensional Q value as a target three-dimensional Q value when a difference value between the residual vector and the amplitude meets a condition.

This invention discloses an electromagnetic ultrasonic online monitoring probe, device, and method for steam pipelines with a coating layer. The probe includes: a butterfly coil for supplying a DC-like current, or simultaneously supplying a DC-like excitation current and a strong pulse excitation current; and a zigzag coil for supplying a strong pulse excitation current. The zigzag coils are unequally spaced, with the spacing gradually decreasing from the input end to the output end. Supplying a DC-like excitation current into the butterfly coil generates a bias magnetic field; supplying a strong pulse excitation current into the butterfly coil excites ultrasonic body waves, while supplying a strong pulse excitation current into the zigzag coil excites ultrasonic guided waves, thereby enabling pipeline wall thickness and defect detection. The guided waves excited by the unequally spaced zigzag coils exhibit Chirp signal characteristics, allowing for pulse compression to improve the signal-to-noise ratio and resolution of the ultrasonic echo signal. The probe is small in size, unaffected by Curie temperature, and suitable for continuous high-temperature detection and detection in narrow areas.

The application belongs to the technical field of seismic wave forward simulation, and discloses a two-dimensional three-component surface wave simulation method and system based on a finite difference method. The method is based on the discrete processing of continuous medium by the rotated staggered grid finite difference method, and realizes the free surface condition based on the discrete processing strategy; the M-PML is used to process the other absorbing boundary except the free surface in the solving area; the two-dimensional three-component surface wave simulation is carried out through the source loading, and the x, y, z direction seismic wave field containing Rayleigh wave and Love wave is obtained. The application realizes the high-precision two-dimensional three-component surface wave field forward simulation, and realizes the simulation of body wave and surface wave field at the same time, which makes a contribution to the promotion of two-dimensional full wave field forward simulation research, and is beneficial to the promotion of the research on the law of seismic wave propagation.

The application discloses a multi-joint machine dolphin with independently adjustable body wave frequency and amplitude, which comprises a dolphin shell, a frequency modulation driving mechanism located in the dolphin shell, an amplitude modulation slide rail mechanism located in the dolphin shell, a driving motor located in the dolphin shell and used for driving the frequency modulation driving mechanism, and a rudder located in the dolphin shell and used for driving the amplitude modulation slide rail mechanism. The frequency modulation driving mechanism comprises a driving joint and a plurality of driven joints which are connected in series with the output shaft of the driving motor in sequence. The tail of the last driven joint is hinged to the tail end of the amplitude modulation slide rail mechanism. The frequency modulation driving mechanism drives the dolphin shell to swing in a wave shape. The frequency modulation driving mechanism adjusts the swing frequency by adjusting the rotating speed of the driving motor. The amplitude modulation slide rail mechanism adjusts the swing amplitude by adjusting the distance between the driving joint and the driven joints through the rudder. The dolphin body can swing in a wave shape, and the swing frequency, the swing amplitude and the wave shape can be independently adjusted.

The application discloses a GPU acceleration-based passive source seismic exploration body wave and surface wave recovery method and device, the GPU acceleration-based passive source seismic exploration body wave and surface wave recovery method is applied to a GPU of an electronic device, the electronic device further comprises a disk, a memory and a CPU which are electrically connected with the GPU, and the method comprises the following steps: constructing a preset block; reading passive source original data according to the preset block to generate a plurality of block data; and based on the plurality of block data, respectively calculating time window correlation recovery pseudo shot gathers of the plurality of block data. Therefore, the GPU acceleration-based passive source seismic exploration body wave and surface wave recovery method effectively improves the calculation capacity, and effectively reduces the calculation time consumption and disk IO.

The application relates to the field of building earthquake resistance, and particularly relates to a steel trunk-branch bionic ultralow-frequency earthquake hypersurface. The steel trunk-branch bionic ultralow-frequency earthquake hypersurface comprises a tree-shaped resonator, a plurality of resonators enclosing a protected object in the center, the tree-shaped resonator comprises a steel trunk and steel branches, the steel trunk is vertically fixed on the surface of the ground, the steel branches comprise a plurality of stages of steel branches, wherein a steel first-order branch is fixedly connected with the top of the steel trunk, and the top of the steel branch is fixedly connected with the bottom of the lower-order steel branch in sequence. The steel trunk-branch bionic ultralow-frequency earthquake hypersurface is fixed on the ground around the protected object, when surface waves reach the array, a Rayleigh wave and other surface wave components are converted into deep body waves through wave mode conversion, and the structure earthquake resistance is realized.

The invention discloses a double-body structure wave energy observation buoy and method suitable for a wide-area networking marine ranch cluster. The double-body structure wave energy observation buoy comprises an upper floating body, a lower floating body and a connecting mechanism between the upper floating body and the lower floating body. An ocean energy power generation device, ocean observation equipment and an energy management system are integrated in the upper floating body; the ocean power generation device comprises a wave power generation system, a solar power generation system and the like; the wave power generation system can comprise an oscillating float type device, an oscillating water column type device and the like. The method comprises the following steps: calculating hydrodynamic coefficients of the upper floating body and the lower floating body according to specific sea condition environmental parameters, combining a kinetic equation and adopting an optimization algorithm, taking the maximum value of the calculated average energy obtaining power of the upper floating body as an evaluation index, and calculating the energy obtaining power of the lower floating body according to the evaluation index. And selecting the lower floating body / connecting rope parameter as an optimal value when the average energy obtaining power of the upper floating body is globally maximum. According to the embodiment, the double-body type wave energy buoy with the high power generation effect under the given sea condition can be obtained, and the equipment carrying capacity of the ocean buoy is effectively improved.

The application discloses a kind of multi-body multi-coupling characteristics of floating structure hydrodynamic analysis method, comprising the following steps: obtaining the geometric characteristics of each floating body, dividing boundary element calculation grid;Calculate each floating body wave exciting force, additional mass and radiation damping, obtain the mass matrix and stiffness matrix of each floating body;Determine the connection mode and coupling factor of floating body;According to the connection mode and coupling characteristics of system, establish the displacement connection condition between each floating body;According to displacement continuous condition and motion constraint relationship, construct motion constraint matrix;According to Lagrange multiplier method, determine the frequency domain motion equation of multi-floater system;Solve motion equation, obtain the motion response of multi-floater system, according to the coupling characteristics of system, further system's analysis wave energy capture power.According to the above analysis method, the present application can solve the problem that the existing simulation method cannot accurately depict the motion response of each degree of freedom when obtaining the hydrodynamic response characteristics of complex multi-body system.

The invention discloses a seismic body wave detection method and device based on dual-path deep learning, and a medium. An initial feature projection module is arranged to perform preliminary feature conversion and dimension reduction on an input waveform image and an F-K spectrum image; a dual-path feature extraction module is arranged, and deep features are synchronously extracted from two different forms of input data of waveforms and frequency spectrums; a multi-level feature fusion module is arranged and is responsible for effectively integrating features extracted by double paths; setting a classification output module to receive the fully fused advanced semantic features, firstly compressing a feature map into a feature vector through a global average pooling layer, then performing calculation through a full connection layer, and finally outputting probability distribution of the seismic slice belonging to the categories of body waves, mixed noise or surface waves. And automatic identification and classification of the signals are completed. According to the invention, high-precision and high-efficiency body wave signal detection is realized through a dual-path deep learning architecture and by utilizing complementary characteristics of waveforms and F-K frequency spectrums.

A device and method of using same having an inertial measurement unit (IMU), a controller, an activator, and an absolute position sensor configured to measure fluid-body waves. The controller calculates its orientation in a relative frame using data obtained from the IMU and fixed-point arithmetic. The controller transforms the relative orientation information into absolute units using data obtained from the absolute sensor and fixed-point arithmetic, producing wave measurements. The controller may then select a subset of wave measurements for transmission via an optional communications mechanism to a remote user.

The invention discloses a shallow water OBN time difference correction method based on background noise body waves. The correction method comprises the steps of collecting data and performing data preprocessing; mutual correlation of adjacent node pairs is calculated; carrying out relative drift measurement by taking a P-wave EGF as a scale; robust quality control and exception elimination; performing multi-component joint weighting and whole-network inversion; recording correction and iterative convergence; and verifying the effect and outputting the result. Compared with a single component, the multi-component combined solution has the advantages that the cross-correlation coherence is obviously improved, and millisecond jump can be positioned and eliminated.

The application provides a kind of side slope fissure passive source seismic wave imaging method, the patent adopts multi-wave multi-component seismograph, simultaneously gathers multiple seismic wave signals on three components, including surface wave, body wave and the like.This design significantly improves the richness of data, so that in data processing, a variety of seismic wave signals can be comprehensively utilized for inversion analysis.By joint processing and constraint of different wave types, the multi-solution problem in geophysical inversion can be effectively reduced, and the stability and reliability of the results are improved.In addition, the acquisition of multi-component data makes the imaging more comprehensive, especially in the characterization of fissure directionality and geometric features, which has obvious advantages.

The application relates to a laser ultrasonic electric sleeve micro-defect imaging method based on deep learning, which comprises the following steps: applying laser ultrasonic body waves to an electric sleeve and collecting signals; performing time domain and frequency domain analysis on the collected signals, extracting characteristic parameters of damage scattering signals, and constructing a micro-damage representation vector fusing multi-dimensional characteristic parameters; using a sparse representation algorithm to realize harmonic signal reconstruction and feature extraction on the micro-damage representation vector through a straight-through wave dictionary, a fundamental frequency scattering wave dictionary and a second harmonic wave dictionary, obtaining reconstructed micro-damage scattering signals, and converting the signals into a two-dimensional spatial domain; inputting the reconstructed micro-damage scattering signals and the two-dimensional spatial domain signals obtained through conversion into a multi-feature fusion neural network model, respectively performing feature extraction, integrating the features obtained from the two parts, and obtaining defect classification and imaging results. Compared with the prior art, the application can realize rapid and accurate imaging of micro-defects in an electric sleeve device.

The invention provides a defect size evaluation system and method based on electromagnetic ultrasonic echoes, and the system comprises an excitation signal transmitting module, an echo signal receiving module, a short-time Fourier transform module, and a defect size evaluation module. Wherein the excitation signal sending module is used for sending a body wave excitation signal to a to-be-tested product so as to generate an ultrasonic vibration signal in the to-be-tested product; under the action of a defect to be detected in the product to be detected, the ultrasonic vibration signal forms an ultrasonic echo signal; the echo signal receiving module is used for receiving the ultrasonic echo signal and generating an echo voltage signal; the short-time Fourier transform module is used for performing short-time Fourier transform on the echo voltage signal to form an echo local frequency spectrum; and the defect size evaluation module is used for analyzing the echo local frequency spectrum to determine the defect size of the defect to be detected. The problem that the defect size in the metal plate cannot be effectively recognized can be solved.

This invention relates to the field of nondestructive testing (NDT) technology, specifically disclosing an ultrasonic NDT method based on full-matrix data transfer and phase coherence, used to detect internal damage defects in planar multilayer structures in equipment such as pressure vessels. This method utilizes the time-domain echo signal received by an ultrasonic phased array body wave probe, combined with frequency-domain phase shift transfer of the full-matrix dataset to achieve rapid extrapolation of the wave field, improving the algorithm's time efficiency by avoiding interface refraction operations of the time-domain signal. Based on the explosion reflection model, the time-domain dataset of the target region is extracted, and combined with a phase-coherence weighted full-focusing imaging algorithm, accurate localization of internal damage within the target layer of the planar multilayer structure is achieved. Experimental results show that this invention has high accuracy and resolution in defect localization imaging of planar multilayer structures, and is suitable for the inspection and maintenance of planar multilayer walls in equipment such as pressure vessels.

1. Name of the designed product: dress (wax-dyed body waves). 2. Use of the designed product: for wearing. 3. Design points of the designed product: in shape. 4. Picture or photo best showing the design points: perspective view. 5. The submitted view is sufficient to express the design points of the product, and the top view and bottom view are omitted. 6. Other circumstances needing explanation: the mannequin in the designed product is a prop and does not belong to the protected design.

The application relates to the technical field of underground detection, and discloses a seismic radar detection system based on a controllable wide-frequency vibration source, which comprises an exciting unit, a body wave data processing unit and a surface wave data processing unit. The exciting unit generates vibration through an eccentric wheel driven by a brushless motor, a magnet is additionally arranged on the rotating shaft of the brushless motor, and an encoder is additionally arranged on the motor head of the brushless motor. The body wave data processing unit is based on a source wavelet and collected body wave data, adopts an inverse convolution algorithm to extract a ground medium response Green function, and is used for realizing underground imaging. The surface wave data processing unit carries out time slice cross-correlation operation on mixed recording and extracts a dispersion curve, and inverts a ground P wave velocity structure and S wave velocity structure. The application not only realizes a plurality of breakthroughs on a traditional source in the technical field, but also exhibits remarkable advantages such as high resolution, flexible deployment, low noise, efficient collection and strong adaptability in practical application.