130 results about "Ultrasonic propagation" patented technology

The invention discloses an intelligent material conveying deviation remote monitoring system based on Internet of Things, which relates to the technical field of material conveying deviation remote monitoring and comprises a signal monitoring module, an abnormal window calibration module, a distortion evaluation module, a data correction module and a remote optimization module. The distortion evaluation module is used for acquiring ultrasonic propagation distortion characteristic information in a signal propagation abnormal window in real time, analyzing and evaluating the echo signal distortion degree under the condition of ultrasonic signal propagation path distortion after acquisition, and dividing the echo signal distortion degree into three types, namely a light distortion degree, a medium distortion degree and a heavy distortion degree; and the data correction module is used for taking corresponding correction measures on the to-be-corrected measurement data under the condition of different echo signal distortion degrees based on the evaluation result. According to the method, the problem of measurement errors caused by propagation path distortion of ultrasonic signals in conveyor belt deviation monitoring is solved, accurate distortion evaluation and adaptive data correction are realized, and the monitoring precision and stability are improved.

The invention discloses a textile production defect detection method and system based on image processing, and belongs to the field of textile defect detection. According to the method, the point cloud data is generated by collecting the surface deformation stripes, and the penetrability reflection signal containing the sound wave propagation time is obtained through the multi-frequency ultrasonic probe. Denoising the point cloud data and then positioning a surface deformation candidate area based on a curvature gradient and a normal vector deflection angle; and an internal abnormal region is determined by separating and extracting a reflection wave amplitude value and a time delay parameter through an ultrasonic frequency band. And matching the surface point cloud coordinates with the ultrasonic propagation time by adopting an iterative nearest point algorithm to establish feature association between the normal vector deflection angle and the reflected wave amplitude. And dynamically distributing fusion weights for the surface features and the internal features according to the curvature gradient change rate and the amplitude attenuation rate to generate a multi-modal defect distribution diagram. And geometric shape and reflection intensity parameters are extracted and matched with a preset defect template to realize type and position judgment, and the method can be suitable for production defect detection of the thick textile with a multi-layer composite material structure.

The invention discloses a slurry flow velocity measurement method, device and system for a slurry pump, and relates to the technical field of slurry flow velocity measurement, and the method comprises the steps: employing an ultrasonic transducer to transmit an ultrasonic signal to a slurry pipeline and receive a reflection signal, and obtaining ultrasonic propagation data; constructing a slurry flow velocity profile model according to the ultrasonic propagation data, and calculating slurry flow velocity and solid phase concentration distribution based on the slurry flow velocity profile model; and based on the slurry flow velocity and the solid-phase concentration distribution, rheological correction is conducted by combining the slurry flow state, and the actual slurry flow velocity of the slurry pump is obtained. According to the method, the non-Newtonian characteristic and the solid-phase migration effect of the slurry are considered in the measurement process, a rheological parameter dynamic correction mechanism based on the Reynolds number is established, and the measurement precision under the working conditions of high-sand-content and high-density slurry is improved compared with a traditional method.

The invention relates to the technical field of concrete testing, in particular to a concrete testing method which comprises the following steps: manufacturing a plurality of groups of standard-size concrete test pieces according to a preset concrete mix proportion, and respectively placing the standard-size concrete test pieces under a simulated curing condition and a standard curing condition for curing in a preset curing period to form a first test group and a first control group; based on a plurality of detection points, carrying out a rebound test and an ultrasonic test on the concrete test pieces in the first test group, and determining a high-frequency ultrasonic section to determine an ultrasonic attenuation coefficient of a single concrete test piece, according to the ultrasonic propagation speed, the ultrasonic attenuation coefficient and the detection rebound value, constructing a concrete strength-based correction model to obtain the comprehensive compressive strength of the concrete test pieces in the first test group, and determining the standard compressive strength corresponding to the concrete test pieces in the first control group, and determining an initial influence coefficient of the simulated maintenance condition according to the comprehensive compressive strength and the standard compressive strength. The compressive strength of the concrete structure is effectively tested.

The invention provides an ultrasonic rebound comprehensive detection method and system for bridge pier column concrete strength, and relates to the technical field of structure nondestructive testing, and the method comprises the following steps: obtaining ultrasonic propagation velocity data of a to-be-detected part of a bridge pier column; obtaining springback value data of a to-be-detected part of the bridge pier column; performing coupling processing on the ultrasonic propagation speed data and the rebound value data, and determining the concrete strength of the to-be-detected part by combining the pouring bedding direction of the bridge pier column concrete and the strength increasing coefficient corresponding to the curing age. And the accuracy and the stability of bridge pier column concrete strength detection are obviously improved.

The invention discloses an ultrasonic water meter detection device and method, and relates to the technical field of ultrasonic flow metering, the device comprises an ultrasonic detection unit, a block chain evidence storage unit, a zero-knowledge proof module, a master control MCU and a low-power-consumption communication unit, the ultrasonic detection unit collects downstream and countercurrent ultrasonic propagation time difference delta t through symmetrically installed transducers, a time difference measurement module (precision + / -1ns) is combined with water temperature data to calibrate a delta t value, the block chain evidence storage unit constructs a Merkel tree for a delta t sequence according to a time window, and root hash is written into a private chain by improving a PBFT consensus mechanism (threshold 4 / 5 node confirmation). The method covers the whole process of data collection, evidence storage, verification and auditing, solves the problems that traditional water meter data is easy to tamper, privacy is leaked and installation is limited through a hash chain and zero-knowledge proof technology, and is suitable for an intelligent water affair scene.

The invention discloses a duct grouting fullness detection method and device, and relates to the technical field of duct grouting fullness detection.The duct grouting fullness detection method comprises the following steps that an ultrasonic probe is arranged at an inlet of a duct and transmits an ultrasonic signal, and a receiver is arranged at an outlet of the duct and used for receiving reflection and transmission signals and collecting ultrasonic propagation data in the duct; and performing frequency decomposition on the acquired signals, and analyzing energy attenuation conditions of the signals in different frequency bands by using penetration characteristics of ultrasonic waves with different frequencies. According to the method, multi-band ultrasonic detection, self-adaptive signal compensation and machine learning technologies are combined, so that the accuracy and robustness of duct grouting fullness detection are remarkably improved. Multi-band detection covers different depths, and an adaptive compensation algorithm maintains signal stability and reduces misjudgment. The machine learning optimizes data fusion, ensures that the system adapts to different construction conditions and outputs stable results, and the generated grouting map provides clear visualization to help engineers to quickly identify and maintain defect areas.

The invention provides an ultrasonic array full-focusing detection scheme design method and device, and belongs to the field of zirconium alloy welding seam detection. The method comprises the steps that zirconium alloy welding seam microscopic data are obtained, and the correlation between the microscopic data and the anisotropy of the zirconium alloy welding seam is obtained; establishing an ultrasonic propagation simulation model in the zirconium alloy welding seam; establishing a zirconium alloy welding seam simulation test block; determining an ultrasonic detection range; calculating a first incident angle range and configuration parameters of the ultrasonic array; simulating the sound velocity change of the ultrasonic waves of which the incidence angles are distributed in the incidence angle range in the zirconium alloy welding seam simulation test block, and outputting an optimal sound velocity value; calculating the optimal incidence angle of the ultrasonic array in the incidence angle range; constructing an ultrasonic array based on the configuration parameters, and performing full-focusing imaging on the constructed ultrasonic array according to the optimal incident angle; and detecting defects in the zirconium alloy weld joint based on a full-focusing imaging result. The defect type identification precision and the defect position positioning precision can be improved.

The invention relates to the technical field of microcosmic acoustic nonlinear effect simulation, and particularly discloses a method for analyzing the influence of pearlite spheroidization on ultrasonic harmonics based on molecular dynamics, which comprises the following steps: firstly, constructing a pearlite undamaged model meeting a Bagaryatskii orientation relationship and a plurality of spheroidization damage models representing different spheroidization damage degrees; carrying out molecular dynamics simulation on the eight constructed models, and carrying out energy minimization and relaxation treatment to obtain a spheroidized model with a stable structure; applying ultrasonic excitation signals V1 and V2 with opposite phases to each spheroidizing damage model to obtain displacement signals after ultrasonic propagation in different areas; and finally, processing the displacement signal by adopting a phase inversion method, extracting second harmonics, analyzing the change rule of the amplitude of the second harmonics, and establishing an incidence relation between the pearlite spheroidizing damage and the ultrasonic nonlinear effect. Through molecular dynamics simulation and a phase reversal method, the influence of pearlite spheroidization on ultrasonic harmonic waves is disclosed, and accurate theoretical support and method reference are provided for nondestructive testing of the pearlite spheroidization.

The invention discloses an online defect detection method for a main-grid-free photovoltaic cell panel, which comprises the following steps of: obtaining a life distribution diagram of a main-grid-free photovoltaic cell through time-resolved photoluminescence, and obtaining a heat dissipation diagram of the main-grid-free photovoltaic cell through optically-induced phase-locked thermal imaging; an ultrasonic diagram of the main-grid-free photovoltaic cell is obtained through laser ultrasound; preprocessing and registering the life distribution diagram, the heat dissipation diagram and the ultrasonic diagram so as to uniformly map the life distribution diagram, the heat dissipation diagram and the ultrasonic diagram to a cell coordinate system, extracting minority carrier life, heat dissipation power, ultrasonic propagation time delay offset and scattering energy, and forming a multi-modal feature together with a thermal phase; and based on the abnormal score, performing defect detection and classification on the multi-modal features of the possible defect area to obtain classification results of electrical defects, thermal defects and mechanical defects. The invention also discloses a system for realizing the method. According to the invention, full-coverage detection of electrical, thermal and mechanical defects is realized.

The invention relates to the technical field of sound equipment data control, and discloses a same-scene cooperative work method and device for ultrasonic directional sound equipment, and the method comprises the steps: obtaining the scene setting information of each ultrasonic directional sound equipment, carrying out the cooperative work simulation, collecting multi-dimensional real-time data, and analyzing the interactive cooperative detection time; the method comprises the following steps: driving sound equipment to perform ultrasonic propagation detection according to a detection task, simulating scene live characteristics, predicting and analyzing scene interference characteristics through space-time correlation, performing environment interference correction and equipment self-correction according to the interference characteristics, optimizing working parameters, improving the cooperative working efficiency of the sound equipment, reducing environment interference, and optimizing the equipment performance. Stable work in a complex environment is ensured, wide application of the ultrasonic directional sound equipment technology is promoted, and the problem that the cooperative work effect of multiple ultrasonic sound equipment in the prior art is poor is solved.

The invention discloses a GIL particle defect on-line monitoring system and method based on an intelligent sensing system, and relates to the technical field of power monitoring, the GIL particle defect on-line monitoring system comprises a defect monitoring platform, the defect monitoring platform is in communication connection with an intelligent sensor network module, a signal conditioning module, a feature extraction module, a defect identification positioning module and a monitoring early warning module, wherein the modules are connected through electric signals; and the intelligent sensor network module is used for deploying a plurality of intelligent ultrasonic sensors on the GIL to form a sensor network. A plurality of intelligent ultrasonic sensors are deployed on a GIL to form a sensor network, ultrasonic propagation speed errors are corrected in combination with an intelligent algorithm, defect positions are accurately calculated by using a triangulation positioning method, and sensor position information and signal propagation characteristics are comprehensively considered; the problem of inaccurate positioning caused by propagation velocity uncertainty and sensor installation deviation in a traditional method is effectively solved, and the defect positioning precision is remarkably improved.

The invention discloses an in-situ nondestructive measurement method, medium and equipment for elastic parameters of a multi-thin-layer heterogeneous material, and belongs to the technical field of ultrasonic measurement. The method comprises the steps that a multi-mode ultrasonic propagation multi-parameter model is established for a to-be-measured structure, a propagation time theoretical value corresponding to each ultrasonic mode is calculated, and the to-be-measured structure is a multi-thin-layer heterostructure; laser ultrasonic linear scanning is carried out on the to-be-detected structure, ultrasonic signals of all ultrasonic modes propagating in different directions are collected, and a line scanning ultrasonic data set is obtained; for a selected ultrasonic mode, extracting propagation time experimental values under different excitation-receiving point combinations from ultrasonic signals of the line scanning ultrasonic data set; and aiming at the selected ultrasonic mode, minimizing the difference between the propagation time theoretical value and the propagation time experimental value as a target function, and using a parameter optimization algorithm to invert the elastic parameter of the to-be-tested structure. According to the invention, long-distance and non-contact in-situ nondestructive measurement can be realized, and the operation is simple.

The invention discloses a passive wireless bolt axial force measuring method and equipment, the bolt axial force measuring equipment comprises a pulse transmitting unit, a transmitting end transmitting coil, a transmitting end receiving coil, an electric signal detection unit, a receiving end coil, a piezoelectric sensor and an ultrasonic probe, the pulse transmitting unit can generate an electric pulse signal with the pulse width of 100-0.01 us, and the receiving end coil can generate an electric pulse signal with the pulse width of 100-0.01 us; the electric pulse signal is received by the transmitting end transmitting coil to generate an induction pulse electromagnetic field, the induction pulse electromagnetic field is received by the receiving end coil to be transmitted to the piezoelectric sensor, the piezoelectric sensor generates ultrasonic waves, the ultrasonic waves act on the bolt and then are reflected, and the reflected ultrasonic signal outputs an electric signal through the piezoelectric sensor; after the electric signal detection unit receives the electric signal through the transmitting end receiving coil, the bolt axial force is calculated based on the ultrasonic propagation sound time when the ultrasonic propagation sound time is measured.

The invention relates to the technical field of nondestructive testing equipment, and particularly provides a non-contact corrosion detection system and method based on dynamic adjustment, and the method comprises the following steps: obtaining an original echo signal, an environment temperature signal and an environment image signal, data of the original echo signal, the environment temperature signal and the environment image signal are uploaded to an upper computer; calculating a gain coefficient of an ultrasonic propagation velocity based on the ambient temperature signal, and calculating the ultrasonic propagation velocity corresponding to the current ambient temperature signal; calculating the thickness of a target workpiece according to the ultrasonic propagation speed after temperature compensation and the original echo signal, and outputting a current adjusting signal for adjusting the amplitude of excitation current and a speed adjusting signal for adjusting the running speed of equipment according to the thickness of the target workpiece and an environment image signal; and outputting the adjusted excitation current amplitude to an electromagnetic ultrasonic probe so as to measure the corrosion degree of the surface of the workpiece. According to the invention, the detection precision of the detection system in a complex environment can be ensured.

The invention discloses a film layer measurement method and a computer readable storage medium, and the method comprises the steps: predicting the propagation of ultrasonic waves generated by pump light on the surface of a to-be-measured film in the to-be-measured film according to the film layer thickness estimation value and sound wave propagation speed of each to-be-measured film layer; according to the time and the ultrasonic propagation path of the to-be-detected film surface after being reflected by the interface of the to-be-detected film layer in the to-be-detected film, the predicted return time and the predicted ultrasonic propagation path are obtained; when film layer measurement is carried out, determining an interface corresponding to a peak value in the photoacoustic signal at least according to predicted return time and a predicted ultrasonic propagation path when ultrasonic waves return to the surface of the to-be-measured film, and obtaining film layer properties of each to-be-measured film layer based on the peak value in the photoacoustic signal and the interface corresponding to the peak value; and the interface corresponding to the peak value in the photoacoustic signal can be accurately determined, so that the accuracy of film layer measurement is improved.

The invention relates to the technical field of ultrasonic propagation detection, in particular to a tension grouting construction quality intelligent monitoring system and device.The system collects ultrasonic data of to-be-monitored positions of tension grouting construction quality at different horizontal positions and different depths, and divides the to-be-analyzed ultrasonic data; respectively determining the adjacent defect possibility and coarse aggregate possibility of each wave crest, and determining the aggregate filling significance of the same to-be-monitored position; screening all different to-be-monitored positions which are the same interference position according to the difference of the aggregate filling significance and depth of all different to-be-monitored positions; and according to different to-be-monitored positions of all the same interference positions, determining a tension grouting construction quality monitoring result. According to the method, the problem that coarse aggregate contained in beam body concrete is misjudged to be defective in the grouting quality evaluation process can be avoided.

The invention relates to the technical field of industrial safety and nondestructive testing, and particularly discloses a nondestructive testing optimization method based on safety state evaluation precision feedback of explosion-proof equipment, which comprises the following steps of: monitoring a beam steering angle and a local temperature gradient of the explosion-proof equipment in real time, and acquiring key data by using a high-precision sensor network; a clustering algorithm, fast Fourier transform and other advanced data analysis technologies are applied to calculate a beam steering angle abnormal characteristic value and a local temperature gradient characteristic value so as to evaluate the ultrasonic propagation stability and the consistency of the internal structure of the equipment, the characteristic values are synthesized to construct a characteristic vector, the characteristic vector is input into a support vector machine model, and the ultrasonic propagation stability is improved. And outputting the safety state score of the equipment to judge whether the current detection process is in an unstable state or not, automatically adjusting the beam steering angle to cover the abnormal area once the system judges that the current detection process is unstable, increasing the scanning density of the abnormal area displayed by the local temperature gradient, and ensuring that potential problems are detected more meticulously.

The present invention relates to the technical field of industrial safety and non-destructive testing, and specifically discloses a non-destructive testing optimization method based on accuracy feedback of explosion-proof equipment safety status assessment. By real-time monitoring of the beam steering angle and local temperature gradient of the explosion-proof equipment, key data is obtained using a high-precision sensor network, and advanced data analysis technologies such as clustering algorithms and fast Fourier transforms are applied to calculate abnormal eigenvalues of the beam steering angle and local temperature gradient eigenvalues to evaluate the stability of ultrasonic propagation and the consistency of the internal structure of the equipment. These eigenvalues are combined to construct a eigenvector, which is input into a support vector machine model and outputs a safety status score of the equipment. This score is used to determine whether the current detection process is in an unstable state. Once the system is determined to be unstable, the beam steering angle will be automatically adjusted to cover the abnormal area, and the scanning density of the abnormal area displayed by the local temperature gradient will be increased to ensure more detailed detection of potential problems.

The invention discloses an ultrasonic imaging method and device, and the method comprises the steps: controlling an ultrasonic probe to alternately transmit a first ultrasonic wave and a second ultrasonic wave to a target object, respectively receiving the echo of the first ultrasonic wave and the echo of the second ultrasonic wave, and respectively obtaining first ultrasonic echo data and second ultrasonic echo data, wherein the first ultrasonic wave comprises non-focused waves of at least two angles, and the second ultrasonic wave is a focused wave; based on the first ultrasonic echo data, calculating an ultrasonic propagation sound velocity of each segmented region in a plurality of segmented regions of the target object to obtain a plurality of ultrasonic propagation sound velocities; performing beam synthesis at least based on the first ultrasonic echo data to obtain first beam synthesis data, and obtaining a first ultrasonic image based on the first beam synthesis data; beam forming is carried out based on the multiple ultrasonic propagation sound velocities and the second ultrasonic echo data, second beam forming data are obtained, a second ultrasonic image is obtained based on the second beam forming data, and the second ultrasonic image is a two-dimensional gray-scale image.

This invention discloses a method and system for testing the compressive strength of concrete in building engineering, relating to the field of concrete strength testing technology. The method includes: acquiring ultrasonic propagation data, infrared thermal imaging sequences, and three-dimensional surface topography point clouds of concrete components to form a multi-dimensional physical field data set; performing cross-modal fusion processing on the data set to generate a feature mapping map of internal defects in the concrete and a material homogeneity distribution spectrum; calling a pre-trained strength prediction model to analyze the feature mapping map and distribution spectrum to obtain predicted compressive strength values ​​and markers of structurally weak areas; spatially weighting the predicted values ​​based on the markers to generate corrected compressive strength values; and outputting a test report and maintenance recommendations based on the corrected values ​​and distribution spectrum. This method improves the accuracy of strength testing and the comprehensiveness of defect identification.

The invention discloses a concrete ultrasonic propagation characteristic modeling method and system, and relates to the technical field of ultrasonic non-destructive testing, and the method comprises the steps: obtaining the rheological behavior data of unsolidified cement slurry, building a concrete slurry fractional order viscoelastic constitutive model by adopting a Caputo type fractional order derivative, and obtaining a complex modulus; constructing a frequency domain wave equation by using the complex modulus, and calculating ultrasonic attenuation coefficients under different frequencies; dividing the concrete medium into thin layers along the propagation direction, and setting the thickness and characteristic impedance of each layer; a Waterman-Truell model is used to calculate a corrected complex wave number, and a structure factor is combined to correct scattering space correlation; calculating the total attenuation value of the attenuation coefficient of each thin layer, and establishing a propagation path total attenuation model. According to the method, the frequency response consistency is enhanced, the modeling precision of the heterogeneity and the multi-scale scattering characteristic of the concrete is improved, and the method has higher simulation accuracy and physical interpretation.

The invention relates to the technical field of ultrasonic detection, and discloses an ultrasonic nondestructive detection system and method for internal defects of a nitrogen spring cylinder. Accurate regulation and control of the smearing amount of the coupling agent are achieved, and dynamic adaptation of the smearing amount is achieved through the design that a large piston and a small piston on a pull rod are matched with an expansion cavity and a shrinkage cavity of a filler pipe, specifically, in the cylinder body side wall smearing stage, the large piston efficiently extrudes the coupling agent and cooperates with cylinder body rotation to ensure circumferential uniform covering, and the coupling foundation of ultrasonic propagation is guaranteed; when the coupling agent reaches the bottom of the cylinder body, the small piston is switched to be matched with the shrinkage cavity, the smearing amount is greatly reduced, the problem of excessive accumulation caused by natural sliding of the coupling agent at the bottom is solved, and defect misjudgment is avoided; by means of the design, it is guaranteed that the coupling agent content of each area meets the detection requirement, it is guaranteed that ultrasonic signal transmission is stable, the detection result is accurate, the using amount of the coupling agent is effectively saved, the detection cost is reduced, meanwhile, pollution of excessive coupling agents to equipment and a cylinder body is reduced, and the cleanliness and efficiency of the detection process are improved.

The invention discloses a method and a system for detecting partial discharge of an insulation tool working without power failure, and relates to the technical field of partial discharge detection. The method comprises the following steps: synchronously acquiring a high-frequency current detection signal and an ultrasonic detection signal of the insulation tool in a detection period; dividing the detection period into a plurality of continuous time periods containing at least one effective discharge event; for each time period, respectively analyzing high-frequency current propagation stability and ultrasonic propagation stability; based on the two types of stability analysis results, determining the discharge propagation dominant characteristics of each time period; and determining the dominant discharge mechanism in the detection period according to the judgment results of all the time periods. The method can accurately identify the dominant mechanism when two kinds of discharge coexist in a complex environment, solves the problem of criterion failure caused by signal aliasing in a traditional method, improves the stability and reliability of a detection result, and provides a scientific basis for the use, maintenance or replacement of an insulation tool.

The invention discloses a natural gas composition prediction method and device based on a physical information neural network. The device is mainly composed of an ultrasonic probe, an ultrasonic generator, an oscilloscope, a throttling device, a pressure sensor, a temperature sensor, a data collector and a central processor. The central processor is provided with a software system and mainly comprises a physical information neural network module and a loss function constraint module. The natural gas composition list Y [y1, y2,... ynn] can be predicted by introducing to-be-measured gas into a pipeline, measuring and acquiring the density rho, the ultrasonic propagation velocity c and the throttling coke-soup coefficient muJ-T of the to-be-measured gas and inputting the measured parameters into the physical information neural network model. The physical information equation is used as priori knowledge to be fused into the neural network, the defects of high cost, complex process and long operation cycle time of the traditional technology are overcome, and the method can be widely applied to the fields of natural gas component measurement, calorific value measurement and the like.

The invention discloses a zero-stress test block model obtaining method and device, a medium and equipment, and relates to the technical field of nondestructive detection.The method comprises the steps that ultrasonic measurement is conducted on a solid test block under different stress levels, ultrasonic propagation signals are collected, training data are formed according to corresponding residual stress, and a stress prediction model is constructed; the model can correspondingly output the characteristics of the ultrasonic propagation signal according to the input stress value, finally, zero stress is used as input, the characteristics of the ultrasonic propagation signal under the stress level are output, the zero-stress test block model without the solid test block is constructed, the tedious process of solid test block preparation can be avoided, and the production efficiency is improved. In the subsequent detection, comparison can be completed only by calling corresponding electronic test block data, the detection efficiency is improved, the electronic test block restores the zero stress state as far as possible through the neural network model, the detection error introduced by solid test block preparation is avoided, the detection precision is improved, and the effect of ultrasonic residual stress measurement is improved.

The utility model relates to the field of sensors, and particularly discloses a thickness measuring sensor which comprises a base, a transmitting piezoelectric patch module and a receiving piezoelectric patch module which are integrally formed, two ultrasonic guided wave structures are arranged on the integrally formed base, and an isolation gap is machined between the two guided wave structures. The isolation gap enables the time of ultrasonic propagation from the transmitting piezoelectric patch to the receiving piezoelectric patch through the integrally formed base to be longer than the echo time of thickness measurement. The two guided wave structures (the transmitting guided wave structure and the receiving guided wave structure) are arranged on the same base, the sensor is easy to assemble and install, structural parts of the whole sensor are greatly reduced, cost is saved, an isolation gap is arranged, crosstalk between transmitting and receiving is eliminated, and measurement is stable.

To provide an ultrasonic plating method capable of achieving a target chemical reaction.SOLUTION: In plating treatment, megahertz ultrasonic vibration allow control of a resonance phenomenon and a nonlinear phenomenon according to an intended purpose, and thereby a chemical reaction due to an ultrasonic vibration phenomenon suitable for the chemical reaction on the surface of an object to be plated, or a cleaning phenomenon, is continuously achieved as efficient and uniform treatment. Further, through continuous use, water tank and jig surface residual stress of adjacent water tanks, generated by a phenomenon of ultrasonic propagation to the adjacent water tanks, is alleviated and uniformized, and thereby ultrasonic waves with a high frequency of 100 MHz or more propagate efficiently. Based on measurement, analysis and evaluation of the vibration state of each water tank, a uniform, stable and highly efficient plating treatment system is achieved by ultrasonic oscillation control.SELECTED DRAWING: Figure 5

The application discloses a kind of multi-thin-layer heterogeneous material elastic parameter in-situ nondestructive measurement method, medium and equipment, belong to ultrasonic measurement technical field.The method includes: for the structure to be measured, establish multi-mode ultrasonic propagation multi-parameter model, and calculate the propagation time theoretical value corresponding to each ultrasonic mode, the structure to be measured is multi-thin-layer heterogeneous structure;For the structure to be measured, laser ultrasonic linear scanning is carried out, and the ultrasonic signals of each ultrasonic mode propagating along different directions are collected to obtain linear scanning ultrasonic data set;For selected ultrasonic mode, the propagation time experimental value under different excitation-receiving point combinations is extracted in the ultrasonic signal of the linear scanning ultrasonic data set;For the selected ultrasonic mode, the difference between the propagation time theoretical value and the propagation time experimental value is used as the objective function to minimize, and the elastic parameters of the structure to be measured are inverted using parameter optimization algorithm.The application can realize long-distance, non-contact in-situ nondestructive measurement, and simple operation.

The invention belongs to the technical field of medical treatment and automatic control, and particularly relates to an ultrasonic microneedle element sound field measurement method and equipment, in the method, a space coordinate system is established based on a hydrophone coordinate, the position and posture of a hydrophone are accurately controlled in combination with a displacement mechanism, the problem of interference of a microneedle piece on ultrasonic propagation is directly solved, and the accuracy of sound field data is ensured. The upper computer integrates the functions of frequency determination, distance calibration, coordinate system generation and path planning, drives the displacement mechanism to automatically traverse measurement points according to a preset sampling interval, thoroughly replaces manual point-by-point operation, and improves the efficiency. A complete closed loop is formed from resonance frequency calibration to sound field distribution generation, personal errors are eliminated, and reliable data support is provided for a targeted drug delivery technology.