301 results about "Material analysis" patented technology

The invention provides a double-space fatigue electron microscope test system, which is applied to the technical field of material analysis, and comprises an electron microscope module, a fatigue loading module and a vacuum isolation damping module, the vacuum isolation damping module controls two spaces of the electron microscope module and the fatigue loading module to be communicated or independent; the fatigue loading module comprises a hydraulic loading actuator, an electromechanical loading actuator, a loading rod and a fixing clamp, the fixing clamp is used for clamping a to-be-tested sample, and the loading rod is used for stretching or extruding the to-be-tested sample; and the fatigue loading module is driven by the moving mechanism to reciprocate along the X axis to adjust the position of the to-be-tested sample or rotate along the X axis to realize switching of different stations. According to the double-space fatigue electron microscope test system, combined use or independent use of the electron microscope module and the fatigue loading module is realized, and adverse factors such as vibration and pulse generated by the fatigue loading module during electron microscope observation are improved; in-situ compensation is achieved by means of cooperation of loading force and displacement of the fatigue loading module, and the observation effect of the electron microscope is improved.

The invention relates to a double-spectrum target detection method based on physical prior constraints, and belongs to the technical field of computer vision and deep learning. The method comprises the following steps: acquiring an RGB image and an IR image after registration, and extracting RGB and IR global feature vectors; constructing a double-spectrum target detection model by adopting a double-branch convolutional neural network; carrying out physical constraint fusion on the RGB and IR features to construct a bimodal fusion feature vector and training a model; wherein the model comprises a double-branch backbone network, a physical prior constraint module, a physical fusion module, a physical enhancement UNet module and a multi-scale detection head; the thermal physical constraint module establishes temperature-radiation relation constraint based on Stefan-Boltzmann law, the material analysis module identifies 12 materials and establishes physical attribute mapping, and the physical consistency verification module performs sub-pixel level registration and multi-level consistency detection; a to-be-detected image is collected and input into the trained model to obtain a detection result. According to the invention, high-precision rapid nondestructive detection of a target in a complex environment is realized.

The invention relates to the technical field of material analysis, and discloses an intelligent raw material composition screening method and system based on a sound insulation material, and the method comprises the steps: collecting acoustic characteristic test data, microstructure data and chemical composition data of a candidate sound insulation material; performing frequency response curve decomposition on the acoustic characteristic test data to obtain a characteristic frequency band sound absorption coefficient, and constructing an acoustic impedance tensor of the sound insulation material to analyze the sound wave dissipation performance of the candidate sound insulation material; calculating the pore distribution entropy and connectivity index of the candidate sound insulation material to analyze the sound wave propagation retardation efficiency of the candidate sound insulation material; analyzing the molecular chain flexibility and interfacial compatibility of the candidate sound insulation material to evaluate the acoustic performance stability of the candidate sound insulation material for multi-component compounding; and screening a target material from the candidate sound insulation materials by using sound wave dissipation performance, sound wave propagation retardation efficiency and acoustic performance stability. The performance matching degree of the raw materials screened out of the sound insulation material in actual composite use can be improved.

In one aspect, the present disclosure relates to a material analysis method which may comprise the steps of: (a) preparing a specimen for structure analysis; (b) training an artificial intelligence model with a training image labelled with a structure aspect of an arbitrary specimen; (c) analyzing a plurality of analysis images not labelled with a structure aspect of a specimen using the trained artificial intelligence model, and removing analysis images classified into preset noise structure aspects; and (d) analyzing, by using the trained artificial intelligence model, the analysis images from which the analysis images classified into the noise structure aspects have been removed, and classifying the analysis images into at least one target structure aspect.

The invention relates to the technical field of hydraulic building material analysis, in particular to a material performance analysis method based on dam material physical properties and a related product, and the method comprises the following steps: applying multi-physical field composite loading including water pressure and temperature change to a sample of a dam material, collecting multiple performance data of the test sample in the composite loading process; key indexes are extracted according to the performance data; a comprehensive performance evaluation model is constructed based on the key indexes, an evaluation value representing the comprehensive performance of the dam material is obtained through calculation, and quantitative comprehensive analysis on the performance of the dam material is completed; according to the method, the performance comprehensive evaluation model integrating the core indexes is constructed, a principal component analysis and self-learning mechanism is introduced, and automatic extraction of main factors, reasonable weight distribution and dynamic adaptation of the regional environment are realized on the basis of original performance data; and the problems of single-point data isolation, weak coupling capability, poor structure specificity and the like in a traditional evaluation method are obviously solved.

The invention relates to the technical field of material analysis, in particular to an intelligent inspection device and method for bridge structure diseases, and the method comprises the steps: determining a plurality of disease suspected regions through obtaining a plurality of frames of unmanned aerial vehicle images of a bridge structure, carrying out the feature analysis of each disease suspected region, and determining the feature value of each disease suspected region; according to different candidate time interval lengths and characteristic values, determining interval change fluctuation degrees representing the possibility of rain and sewage flow marks corresponding to different candidate time intervals in each disease suspected area, and carrying out feature distinguishing on the rain and sewage flow marks and crack diseases; according to the interval change fluctuation degree, determining interval division fitness, comprehensive identification capability and timeliness of different candidate time intervals; according to the interval division fitness, the target interval change fluctuation degree corresponding to each disease suspected area is determined, so that the crack disease area is determined for intelligent inspection, the recognition accuracy is improved, and the intelligent inspection effect is ensured.

The invention relates to the technical field of material analysis, in particular to a light microscope-field emission electron microscope combined shale rock slice analysis and identification method, which comprises the following steps of: firstly, combining a brightness distribution condition represented by a bright field image of a shale rock slice and a birefringence deviation condition represented by a cross polarization image from an optical angle; determining a mineral discrimination index representing an atomic number agent; applying offsets of different sizes based on the distribution condition of mineral discrimination indexes and the surface fluctuation condition of shale rock slices, and determining a position offset vector by combining gray scale gradient distribution on the basis; and finally, determining the cross-scale positioning and more accurate electron microscope objective table coordinates corresponding to each pixel point in combination with a position offset vector in a pixel coordinate conversion process based on an image physical distance scale and rotation translation processing, so that the cross-scale positioning accuracy of the optical microscope and the field emission scanning electron microscope is higher. The reliability of analyzing and identifying the shale rock slice is obviously improved.

The invention relates to the technical field of material table robots, in particular to an intelligent material table robot system based on an AI vision technology, which is provided with a material table control module, a feature acquisition module, a material analysis module, a material identification module and a grabbing regulation and control module, a material analysis module determines the gray fluctuation condition of to-be-sorted materials according to gray characterization parameters in a grabbed recognition area at different illumination angles so as to mark the feature grabbed recognition area, a material recognition module determines a shielding trend sub-area, a shielding trend sub-vector is constructed, and the shielding trend sub-vector is calculated. And a grabbing compensation mode of the to-be-sorted materials is determined through a grabbing regulation and control module according to the comparison condition of the conveying direction vector and the shielding trend vector. According to the method, the grabbing recognition area with shielding interference is marked according to the gray features of the materials, the grabbing compensation mode is adaptively adjusted based on the change trend of dynamic shielding, and the efficiency and reliability of an intelligent material table robot system are improved.

The invention discloses a method for preparing a section sample of a new energy automobile battery powder material, and relates to the technical field of battery material analysis, and the method comprises the following steps: uniformly mixing a battery powder material with a liquid conductive adhesive solution; pouring the mixture into a mold for curing, and demolding to obtain a conductive sample block with a regular shape; directly loading the conductive sample block in an ion beam cutting system for ion cutting to obtain a flat sample section; and surface metal spraying treatment is not needed, and electron microscope observation and analysis are directly carried out. According to the preparation method, the conductive adhesive solution is adopted for inlaying and is combined with mold forming, so that time-consuming mechanical grinding and polishing procedures in a traditional method are omitted, and the preparation period is greatly shortened; and meanwhile, an in-situ conductive network formed after the glue solution is cured is utilized to effectively inhibit the charge effect, so that direct observation without metal spraying is realized, sample preparation damage and plating interference are avoided, and the authenticity and accuracy of an analysis result are ensured. The method is simple and convenient to operate and good in repeatability.

The invention discloses a security check image recognition and early warning system based on a terahertz imaging technology, relates to the technical field of security check image recognition and early warning, and solves the technical problems that in the prior art, linear change processing cannot be carried out on a terahertz image, the availability of the image cannot be ensured, and consequently the subsequent article comparison efficiency is reduced. The terahertz imaging control unit is used for carrying out region division according to a real-time security check execution region and carrying out terahertz imaging mode control according to the divided region; the material analysis unit is used for performing material analysis on the object detected in real time in the terahertz image, and determining the material of the corresponding detected object in the terahertz image by combining terahertz image analysis with wavelength transmission process analysis of an imaging technology in an actual scene; and the terahertz image processing unit is used for carrying out linear change processing on the terahertz image, adjusting the gray level distribution condition of the image by establishing gray level mapping, and improving the definition of the image.

The invention discloses a salt spray test device for simulating a salt spray environment, and relates to the technical field of material analysis equipment. The device comprises a main box body, a box cover, an ultrasonic salt mist generating device, an axial flow fan, an airflow distributor, an airflow guide device, a salt mist metering device, a control device panel and the like, wherein the main box body is provided with an inner cavity and a top sealing water tank; an auxiliary box body is arranged on one side of the main box body, and the auxiliary box body is provided with an inner cavity and is communicated with the inner cavity of the main box body; the upper end of the auxiliary box body is provided with a sunken saline water tank for storing saline water; the bottom of the ultrasonic salt mist generating device is communicated with the salt water tank through a conduit. Through the innovative structure, many problems of a traditional test are solved, salt mist distribution is optimized, and uniformity is ensured; temperature and humidity are accurately controlled, and simulation is more real; an ultraviolet light source is introduced, the illumination period is precisely regulated and controlled, and the device fits the natural environment; the corrosion resistance of the material can be comprehensively and accurately evaluated, reliable test support is provided for research, development and application of the material, and product quality and reliability are improved.

The invention discloses a method and system for constructing a universal digital twin asset data model for multi-source heterogeneous data exchange and sharing, and belongs to the technical field of digital twin. The method comprises the following steps: obtaining three-dimensional data structures and three-dimensional data indexes of different geometric forms in a digital twin model, the spatial topological relation between the three-dimensional data structures is identified; converting texture map information of the three-dimensional data structure into a unified format, normalizing coordinates of the texture map information, and unifying vertex coloring information of the three-dimensional data structure to a standard color space; and performing material analysis and description on different material characteristics of the digital twin model, dynamically calling node objects corresponding to the different material characteristics to obtain real material information, and finally dynamically outputting to obtain a general three-dimensional data model. According to the invention, the problem that a unified digital twin floor scene is difficult to generate due to different sources and structures of current model data can be solved.

The invention relates to the technical field of display process materials, in particular to a display process material characteristic analysis system and method. Comprising a central control unit used for setting a plurality of monitoring points according to the technological process of a display material; the monitoring unit comprises a plurality of monitoring sub-modules, and the monitoring sub-modules are used for collecting characteristic data packets of all monitoring points; the monitoring sub-module is also used for collecting auxiliary data packets of each monitoring point; the analysis unit is used for constructing a characteristic analysis model of the preprocessing model; a plurality of monitoring points are set according to the technological process of a display material, abnormal analysis is carried out on abnormal characteristic data in time by constructing an early warning sub-module corresponding to each monitoring point, and when it is judged that the characteristic data of a single monitoring point is abnormal, a corresponding abnormal data packet is generated by collecting corresponding technology monitoring data; and according to the material analysis model, process parameters causing characteristic index fluctuation are analyzed in time, a process optimization strategy is output, and the production quality and the production efficiency of the display material are improved.

The invention relates to the technical field of electric power, in particular to a cable nondestructive testing method which comprises the following steps: acquiring corresponding calibration parameters from a database according to the model of a to-be-tested cable, and calculating the total length and fault position of the to-be-tested cable at the near end of the to-be-tested cable by adopting a time domain reflection method; at the tail end of the cable to be detected, at the tail end, at least two core wires are short-circuited, a four-wire detection method is adopted to measure the direct-current resistance of a core wire loop at the near end, and standard temperature correction is conducted on the direct-current resistance of a single core wire; the resistivity to be measured is calculated by using the total length of the cable to be measured, the actual cross sectional area of the core wire and the direct current resistance of the single core wire at the standard temperature, and whether the actual core wire material of the cable to be measured is qualified is analyzed according to the resistivity to be measured and a resistivity threshold value set based on the calibrated core wire material. And early warning is carried out based on a core wire material analysis result and a fault position. According to the method, the cable length, the fault position and the core wire material qualification can be quickly, nondestructively and accurately detected on site.

The invention discloses a multi-information synchronous measurement device and method for a whole space, and belongs to the technical field of spectral measurement and analysis. The device comprises a double-pulse laser excitation module, a multi-angle spectrum acquisition module, a transient imaging module, a backlight shadow imaging module and a synchronous control module. The measurement method comprises the steps of sample positioning pretreatment, double-pulse plasma excitation, multi-angle spectrum synchronous acquisition, plasma transient imaging, shock wave backlight shadow imaging, detection post-treatment and the like, and synchronous acquisition of multi-dimensional data is realized through accurate time sequence control. Omnibearing synchronous measurement of plasma spectrum, form and shock wave propagation is realized, and the device has the advantages of high data time consistency, comprehensive information acquisition, high measurement precision and high experiment efficiency, can be widely applied to the fields of material analysis, environment monitoring, plasma physical research and the like, and has wide application prospect. And the method has good adaptability in LIBS (Laser-induced Breakdown Spectroscopy) technology expansion scenes such as double pulses and magnetic confinement.

The invention discloses an intelligent auxiliary auditing method and system for a special equipment detection report based on a multi-modal large model. The method comprises the following steps: acquiring structured inspection data; checking the structured inspection data through a preset database of the special equipment so as to obtain the checked structured inspection data; performing multi-source report consistency comparison and regulation-driven inspection item verification on the audited structured inspection data to obtain a multi-source report consistency comparison result and an inspection item compliance verification result; and generating a structured pre-auditing report according to a multi-source report consistency comparison result and an inspection item compliance checking result. According to the intelligent auxiliary auditing method for the special equipment detection report based on the multi-modal large model, through fusion of the semantic comprehension ability of OCR, image analysis, a term knowledge base and the fine-tuning large model, full-process automatic auxiliary auditing from data analysis, multi-source consistency checking to conclusion logic checking is achieved.

This invention discloses a pretreatment method for detecting trace perfluorinated and polyfluoroalkyl substances (PFAS) in complex matrix textiles, belonging to the field of materials analysis technology. The method involves placing the textile in an alkaline solvent containing an alkyl sulfonate displacing agent. Under heating conditions, the displacing agent utilizes its competitive adsorption mechanism to forcibly occupy matrix adsorption sites and displace the target analytes into the solvent. Subsequently, the temperature is rapidly lowered to the phase separation induction temperature, inducing supersaturation precipitation of the displacing agent, which then encapsulates impurities in situ and co-precipitates, forming a solid-liquid stratified system. Finally, the supernatant is collected for analysis. This invention utilizes the dual properties of the displacing agent—high-temperature solubilization and low-temperature phase change removal—to effectively break the strong adsorption equilibrium of aged textiles without using a solid-phase extraction column. This solves the contradiction between low extraction rate and significant matrix interference, significantly improving the recovery rate of PFAS. It offers advantages such as low cost, simple operation, and high accuracy.

The invention relates to the technical field of mobile robot environment perception and navigation, in particular to a storage environment depth map generation and processing method based on laser vision. Comprising the following steps: an original data acquisition and point cloud construction step: acquiring multi-dimensional original echo data including geometric distance, echo intensity and pulse width, and constructing an initial three-dimensional point cloud; a light-object interaction characteristic decoupling step: analyzing light intensity attenuation and pulse width broadening characteristics, and constructing an intensity distance material mapping model; a material analysis and confidence generation step: analyzing the data to identify high reflection, light absorption deficiency and semitransparent areas, and generating a pixel-level confidence tensor; a semantic enhancement depth map generation step: restoring abnormal pixels based on tensor and endowing physical trafficability semantics to generate a semantic enhancement depth map; according to the invention, the problem of visual deception is effectively solved, and the passing efficiency in a complex storage environment is improved.

The invention discloses an annular focus electron beam focusing device and method, and belongs to the field of energy, aerospace, material analysis and high-energy physics. The annular focus electron beam focusing device comprises a cathode assembly, a focusing electrode assembly and an anode target which are sequentially arranged in the electron beam propagation direction; the cathode assembly comprises a lamp filament; the focusing electrode assembly at least comprises a focusing electrode and a focusing cover, the focusing electrode is provided with a supporting part used for fixing a filament, the supporting part is movably connected with the focusing electrode, and then the assembling height of the filament is changed; the focusing cover covers the focusing electrode in a matched mode, and the focusing electrode is provided with a positioning part used for positioning the focusing cover in the axial direction. By replacing the lamp filaments with different ring diameters and / or adjusting the assembly height of the lamp filaments, the electron beams converge on the bombardment surface of the anode target to form the annular focus with the preset size, a basis is provided for adapting to the annular focuses with different sizes, and the flexibility and the application range of equipment are greatly improved.

The invention relates to the technical field of computer vision and automatic control, and discloses an automatic checking method for the number of stacked sheet materials, which comprises the following steps: identifying a standard number table image to obtain a platform standard identifier and a material standard number; performing visual identification processing on the field material image, identifying a platform identification target and all material targets corresponding to the platform identification target, and obtaining position information of the material targets; identifying the platform identification target to obtain a platform analysis identifier; and outlier elimination processing and gap filling processing are carried out on the material target according to the position information. And finally obtaining a platform analysis identifier and a material analysis quantity. And matching the platform analysis identifier with the platform standard identifier, comparing the material analysis quantity corresponding to the matched platform with the material standard quantity, and outputting a verification conclusion according to a comparison result. Through the arrangement, accurate detection of the material quantity is realized, and the accuracy, the efficiency and the automation level of warehouse checking work are improved.

The invention relates to a high-sensitivity differential microfluid sensor based on a microstrip line, which is used for measuring the concentration of a water-ethanol mixed solution, and comprises the microstrip line configured with a symmetrical shunt / combiner, a pair of split ring resonators with bent grooves, and a microfluid channel, a dielectric layer and a metal ground which are arranged at the tops of the split ring resonators from the top layer to the bottom layer. Wherein the bent groove parts of the two SRRs are areas with the maximum electric field intensity, and a micro-fluidic channel made of polydimethylsiloxane (PDMS) is placed in the areas. A sensor parameter curve is measured by a vector network analyzer (VNA). The suggested size of the sensor is 30 * 20 mm < 2 >, and the working frequency is 4.8 GHz. Experimental results show that the resonant frequency of the water-ethanol mixture with the concentration range of 0-100% has linear shift of 1250 MHz, and the average sensitivity Savf of detection is 0.987%. The sensor has the characteristics of compactness, high sensitivity, high measurement precision, no environmental interference and the like, and has wide application prospects in the fields of biomedical detection, material analysis, environmental monitoring and the like.

The invention relates to a method for measuring the thickness of an intermetallic compound of a copper-clad aluminum composite material, and relates to the field of metal material analys.The thickness measuring method comprises the steps that an intermetallic compound sample at the composite interface of a copper-clad aluminum sample is taken, the hardness of the interface is obtained through a nanoindenter, and main constituent compounds of the interface are confirmed through hardness comparison; the method comprises the following steps: cutting a copper-clad aluminum sample to obtain a first sample which contains a composite interface and has a regular shape, testing to obtain the resistance of the first sample, obtaining a first mathematical relationship according to a resistance superposition model, cutting the first sample into a second sample with equal length, and weighing to obtain a second mathematical relationship according to a mass superposition model; and obtaining the thickness of the intermetallic compound according to the two mathematical relationships. According to the method, the characteristic that the electrical property of the intermetallic compound is poor is utilized, the electrical property of the composite material is tested, the electrical property difference between the composite material and pure metal is compared, the proportion of the intermetallic compound is quantitatively given through joint calculation, and the thickness of the intermetallic compound can be rapidly measured.

A method is provided for generating and / or displaying a dynamic tooth chart In some cases, the method can include receiving dataset(s) associated with a patient. Each dataset comprises data corresponding to an imaging modality of a plurality of imaging modalities and provides information on a dentition of the patient. The datasets are processed to generate, for each dataset, one or more tooth portions. Each tooth portion comprises an image of one or more teeth of the patient. The one or more tooth portions are arranged into a dental chart. A visualization of the dental chart of the patient is generated and provided to a user device for presentation in a user interface. In some cases, a method can include determining one or more chart annotations can by performing a shape analysis, a teeth arrangement analysis, and / or a material analysis on 3D dental model(s) and / or 2D images of the patient's jaw.

Time-series data formed by acquiring values indicating amounts or states of a plurality of biological materials for each biological material at a plurality of time points is prepared, the plurality of biological materials are divided into a plurality of groups on the basis of temporal variations of time-series data of the respective biological materials, representative time-series data indicating a state of each group is generated on the basis of time-series data of at least one biological material included in each group, and dependencies between the groups are estimated on the basis of the representative time-series data of each group.

The application provides a method for measuring material ionization potential based on ultraviolet photoelectron yield spectrum, and relates to the technical field of material analysis, and comprises the following steps: monochromatic light in a vacuum ultraviolet band is divided into a main light path for transmission and a reference light path for reflection at a target wavelength; the number of incident photons of the reference light path at the target wavelength is measured, and the number of incident photons of the main light path at the target wavelength is measured; the light splitting ratio at the target wavelength is calculated according to the number of incident photons of the main light path and the number of incident photons of the reference light path at the target wavelength; the number of photoelectrons excited by the main light path from the surface of a sample to be measured at the target wavelength is measured; the ultraviolet photoelectron yield spectrum of the sample to be measured is determined according to the light splitting ratio, the number of incident photons of the main light path and the number of photoelectrons at multiple wavelengths, and the ionization potential of the sample to be measured is determined based on the ultraviolet photoelectron yield spectrum. The application not only simplifies the measurement process of the ionization potential, but also improves the accuracy and stability of the experiment.

This invention belongs to the field of materials analysis and discloses an X-ray diffraction multiple scattering correction method, comprising: Step 1, obtaining equivalent diffraction points based on the symmetry characteristics of the crystal, wherein the equivalent diffraction points are the set of points with diffraction intensities I(h, k, l); Step 2, determining whether the criteria for judging outliers are met; if met, deleting; otherwise, retaining; Step 3, determining whether the deletion rate is met; if met, deleting; otherwise, retaining; Step 4, the remaining dataset I without outliers. 校正 (h, k, l) is used for subsequent fine-tuning; the corrected I 校正 (h, k, l) is more conducive to the accuracy of electronic structure refinement.

The invention discloses a preparation method of an iron ore concentrate powder scanning electron microscope sample, and belongs to the field of material analysis and testing. The preparation method comprises the following steps: (1) adding iron ore concentrate powder to be detected into absolute ethyl alcohol, and fully and uniformly shaking to obtain a sample solution; (2) adding a dispersing agent into the sample solution, and uniformly oscillating by using an ultrasonic method to obtain a solution after ultrasonic oscillation; and (3) pouring the solution subjected to ultrasonic oscillation into a sprayer, uniformly spraying the solution to the surface of a conductive adhesive tape fixed on an objective table of a scanning electron microscope through the sprayer, and naturally drying to obtain the iron ore concentrate powder scanning electron microscope sample. The method is simple in sample preparation process, uniform in iron ore concentrate particle dispersion and easy to operate, the problem of iron ore concentrate powder agglomeration is solved, meanwhile, a scanning electron microscope sample chamber is not polluted, and the observation result is real and reliable.

The invention discloses a cast iron white sample preparation method for direct-reading spectrometry detection, a mold and a processing device thereof, and relates to the technical field of metal material analysis and detection, the cast iron white sample preparation method comprises the following steps: S1, under the protection of high-purity inert gas, rapidly melting a cast iron sample by using a high-frequency induction heating device; and S2, the completely-molten metal liquid is rapidly poured into a mold internally provided with a forced water cooling system. According to the preparation method of the cast iron white sample for direct-reading spectrometry detection and the mold, high-frequency rapid melting and ultra-rapid cooling of the water-cooling copper mold are combined, graphite precipitation is fundamentally inhibited, even for high-carbon-equivalent cast iron, it can be guaranteed that 100% of a full white structure is obtained, the problem that carbon and silicon elements are not detected accurately in spectral analysis is thoroughly solved, and the production efficiency is improved. The prepared sample is uniform and compact in structure, free of defects such as shrinkage porosity and pores and high in component representativeness, and the reproducibility and accuracy of direct-reading spectrum analysis are greatly improved.

The invention belongs to the technical field of material analysis, and provides an elastic constant measuring method and system and an ultrasonic device.According to the method, a sandwich structure is combined and placed in an acoustic coupling medium, ultrasonic data penetrating through the sandwich structure are collected in a transmission-type omnidirectional ultrasonic mode, a five-layer sound ray tracking model can be constructed, and the elastic constant can be measured; and by utilizing a particle swarm optimization algorithm, the optimal ultrasonic sound velocity is calculated by comparing the actual propagation time of the ultrasonic waves in the five-layer sound ray tracking model with the predicted propagation time, and then the elastic constant of the to-be-tested material is obtained. According to the scheme provided by the invention, the problem that a thin-layer material ultrasonic characterization method in the prior art is easily influenced by a measurement error introduced by wrinkles is solved, an idealized measurement environment state is provided, and the equipment complexity and the measurement cost are reduced by innovatively utilizing a transmission-type omnidirectional ultrasonic mode; lossless, accurate and reliable measurement of the elastic constant of the material is realized.