1079 results about "Ultrasonic testing" patented technology

The invention relates to the technical field of nondestructive testing, and discloses a steel structure weld defect ultrasonic detection and identification system. A data acquisition module of the system acquires an original ultrasonic signal of a steel structure welding seam through ultrasonic detection equipment and acquires geometric attribute data of the welding seam; the model construction module constructs a welding seam three-dimensional digital model based on the data; a feature extraction module performs feature mining on the three-dimensional digital model and extracts a weld defect feature index set; the difference analysis module carries out deviation calculation on the characteristic index set and a reference index set in a standard welding seam characteristic database, and an abnormal area is identified; the risk assessment module calculates a defect sensitivity index according to the abnormal region in combination with real-time environmental parameters, and assesses a defect risk level; and the report generation module formulates a detection scheme according to the defect risk level, generates a detection instruction, executes ultrasonic scanning, collects performance data and generates a defect detection report. The system has the advantages of high detection precision, high reliability, automatic and standardized process and the like.

The invention relates to a lightweight component surface defect quantitative evaluation method, system and device, and the method comprises the steps: obtaining a multispectral surface image, laser three-dimensional data and ultrasonic detection data of a lightweight component, and carrying out the fusion registration based on a preset multi-sensor synchronization protocol, and obtaining a component joint data set; performing dynamic pruning analysis on the component joint data set to obtain geometric contour features, and performing internal feature extraction on the component joint data set to obtain internal abnormal response features; stress gradient distribution data and volume ratio parameters are carried out on the geometric contour features and the internal anomaly features; and obtaining an original working condition data set of the lightweight component, carrying out service working condition coupling analysis on the multi-dimensional prediction matrix, and carrying out multi-dimensional quality l parameter identification to obtain component comprehensive quality information. According to the method, the morphology mechanical coupling feature extraction precision of composite defects such as cracks and holes can be improved.

The invention discloses a bearing defect detection method and system based on machine vision and ultrasonic detection, and particularly relates to the technical field of industrial automatic detection, and the method comprises the steps: S1, a synchronous collection module: carrying out pulse triggering synchronous collection, and generating a time-space reference table; s2, a feature extraction module: performing image noise reduction segmentation and ultrasonic frequency domain decomposition, and outputting a defect feature vector; s3, a fusion identification module: performing cross-modal feature alignment fusion to generate a defect classification conclusion; s4, a size measurement module: performing contour fitting to calculate inner and outer diameters, and outputting a size deviation value; and S5, a comprehensive judgment module: carrying out threshold comparison logic judgment, and generating a multi-modal detection report. According to the method, a space-time reference is established through an encoder, images are segmented in a self-adaptive mode, features are extracted through wavelet decomposition ultrasound, feature weights are re-calibrated through a parallel network and an attention mechanism, composite defects are recognized through cross-modal fusion, comprehensive judgment is conducted in combination with dimensional deviation, and a multi-dimensional quality evaluation system is achieved.

The invention relates to the technical field of composite material detection, in particular to a fiber-reinforced thermosetting thermoplastic composite structure interface quality detection method and system.The method comprises the steps that vibration excitation is applied to a target area of the surface of a to-be-detected sample, and the amplitude of the excitation is lower than the damage critical value of a weak bonding interface; a dynamic response signal perpendicular to the interface is collected in a vibration field non-diffusion area of the excitation point of the target area; performing frequency domain transformation on the dynamic response signal, and separating a fundamental frequency component and at least one high-order harmonic frequency component; according to the nonlinear enhancement effect of the high-order harmonic frequency component relative to the fundamental wave frequency component, whether the weak bonding defect exists in the target area or not is judged. According to the method, the technical bottleneck that the dynamic evolution process of the weak bonding defect of the composite material interface is difficult to capture in real time is effectively solved, sensitive response to the microdefect is realized through a nonlinear harmonic characteristic enhancement effect, and the recognition precision of traditional ultrasonic detection is improved.

The invention relates to the technical field of ultrasonic detection, and discloses an ultrasonic scanning path optimization and three-dimensional reconstruction method, device, equipment and medium, and the method comprises the steps: positioning a key mark point of a target area, generating an initial scanning path, and controlling an ultrasonic probe to move along the initial scanning path to collect first ultrasonic image data, extracting target structure features to construct an initial three-dimensional point cloud model; establishing a surface projection model; fitting to generate a surface profile curve and calculating the tangential direction of a sampling point; optimizing the orientation of an ultrasonic probe based on the tangential direction to generate an optimized scanning path; and reconstructing a final three-dimensional model. According to the invention, through key mark point positioning and incident direction optimization based on the tangential direction, the scanning path of the probe is enabled to be adaptive to curvature change of the target area, and through combination of real-time contact force adjustment and multi-stage image data acquisition, three-dimensional point cloud space coverage and imaging consistency are improved, and high-precision three-dimensional reconstruction of a complex anatomical structure is realized.

The invention discloses a panel vertical seam water stop structure repair effect evaluation method, which comprises the following steps of: firstly, synchronously obtaining surface crack and internal defect data through cooperative detection of infrared thermal imaging and ultrasonic flaw detection; and carrying out space alignment on point cloud data generated by three-dimensional laser scanning and an ultrasonic detection result, and establishing a BIM model containing a crack three-dimensional form. A practical engineering environment is simulated in a laboratory to carry out material accelerated aging and test key indexes such as an elastic recovery rate, a base surface state is evaluated through a temperature and humidity sensor array in a construction stage, a six-axis grouting robot is adopted to execute accurate filling, a curing process is monitored by a synchronous pre-embedded optical fiber sensor, and after aging is simulated by combining a hydraulic test with climate, a construction period is shortened. A distributed optical fiber network is used for continuously collecting deformation data, a comprehensive evaluation model is constructed based on mechanics, durability and sealing indexes, and finally material selection and process parameters are optimized through machine learning.

The invention provides an ultrasonic detection method and system for inverting residual stress by using sound wave phase velocity, and belongs to the field of air coupling ultrasonic guided wave detection. The method is based on an air coupling ultrasonic guided wave sound field propagation finite element model, and guides optimization design of air coupling ultrasonic transducer parameters. The air coupling ultrasonic guided wave detection technology is adopted for conducting non-contact excitation and receiving of guided wave signals on the composite material component with the preset stress through the stretcher. And calculating the phase velocity of the air-coupled ultrasonic guided wave in the composite material component based on a geometric positioning and time difference cooperative gradual difference method. And calibrating the phase velocity in the target composite material and preset stress to obtain a corresponding relational expression, performing phase velocity detection on a composite material component with unknown stress based on a calibration result of the target composite material, and performing inversion to obtain composite material construction residual stress. By adopting the method and the system, the residual stress detection of the composite material component is realized.

The invention discloses a non-convex contiguous group sparse variational filtering hyper-parameter adaptive calculation method, which comprises the following steps of: selecting a reference signal according to ultrasonic signal characteristics, and determining the size of a group sparse group through a specific formula in combination with a sampling frequency and a probe frequency; after interference removal is carried out on the ultrasonic signal, a scattering noise standard deviation is calculated based on the reference signal, and a regularization parameter is obtained in combination with a formula; calculating a penalty factor; when the detection sound path distance is less than 1000mm, adopting global filtering; when the sound path distance is detected to be larger than 1000 mm, local filtering is adopted, a punishment intensity reference value is estimated based on the noise level, the reference value is corrected in combination with the signal-to-noise ratio, and then a formula is substituted to calculate a punishment factor coefficient and a final punishment factor; in the iteration process, the relative variable quantity of the cost function is used as a convergence criterion, iteration is stopped when the variable quantity is smaller than a preset threshold value, and efficient and stable filtering is ensured; the method completely meets the engineering application requirements of industrial ultrasonic detection.

The invention belongs to the technical field of metal crack detection, and discloses a metal microcrack ultrasonic detection method, which comprises the following modules: an ultrahigh frequency composite array probe with a center frequency dynamic adjustable range of 5-50 MHz; the dual-mode excitation and receiving module is used for independently generating a pulse reflection mode excitation signal and a diffraction mode chirp frequency modulation signal; the phase-controlled synthetic aperture dynamic focusing module is used for realizing + / -60-degree deflection and sub-wavelength level focusing of acoustic beams; the nonlinear harmonic enhancement module is used for exciting a crack nonlinear effect by superposing 1-2MHz fundamental waves; and a time-space-frequency three-domain data fusion module. According to the method, signal-to-noise ratio collapse caused by the diffraction effect in a traditional method is overcome, more importantly, the system has low-frequency penetrability and high-frequency resolution at the same time due to 80%-120% of broadband coverage of chirp frequency modulation signals, the diffraction signal gain is increased by 20 dB or above, a near-surface blind area is compressed to be within 0.2 mm, and the system can be applied to the field of radar imaging. And the core pain point of missing detection of the near-surface microcracks of the thin-wall component is solved.

The invention relates to a GIS (Geographic Information System) basin-type insulator defect detection method, electronic equipment and a storage medium, belongs to the technical field of intelligent image identification and processing of power equipment, and solves the problem of how to improve the accuracy of GIS basin-type insulator defect detection. The method effectively improves the resolution and information integrity of defect images, constructs a MobileNetV2 and YOLOv11n lightweight network structure for the technical bottlenecks of large FMC data volume and complex imaging calculation, achieves the intelligent closed-loop process from defect identification, positioning and classification to segmentation evaluation, achieves the automatic identification and geometric quantity extraction of defect areas, and improves the accuracy of the detection result. A data support is provided for subsequent early warning judgment and decision making; according to the method, the ultrasonic detection identification precision and the imaging quality are effectively improved.

A system may comprise a neural network trained to predict mechanical damage to field-deployed industrial equipment with a main or supplementary function to transfer heat change phase, or drive / limit a reaction. The neural network may be trained using an idealized geometry. A processor may receive process input data from the equipment and may provide the data to the trained neural network. The processor may generate a prediction of mechanical damage using the trained neural network and the process input data. The process input data may comprise temperature data collected during operation. A scanning device may generate a digital twin of at least a portion of the equipment through scanning and ultrasonic testing. A monitoring module may monitor processes through a control system to collect the process input data. The neural network may comprise a convolutional neural network configured to calculate damage using a surrogate model.

The embodiment of the invention provides an ultrasonic transducer, a preparation method of the ultrasonic transducer, an ultrasonic fingerprint module and electronic equipment. The ultrasonic transducer comprises a substrate, a bottom electrode, a piezoelectric layer, a top electrode and an excitation electrode, the bottom electrode is located on the upper surface of the substrate, the piezoelectric layer is located above the substrate and covers the bottom electrode, and at least part of the top electrode is located above the piezoelectric layer; the excitation electrode is located on the upper surface of the substrate, a distance exists between the excitation electrode and the bottom electrode, the piezoelectric layer is provided with an opening part, and the top electrode is electrically connected with the excitation electrode through the opening part; the excitation electrode is used for receiving an excitation signal and applying the excitation signal to the top electrode, so that an electric field is formed between the top electrode and the bottom electrode to excite the piezoelectric layer to emit an ultrasonic signal, and the bottom electrode is used for receiving an ultrasonic detection signal generated between the top electrode and the bottom electrode when the returned ultrasonic signal acts on the piezoelectric layer. The performance of the ultrasonic transducer in the scheme is good.

The invention relates to the technical field of ultrasonic detection, and discloses a robot ultrasonic detection method, device and equipment based on three-dimensional perception and a medium, and the method comprises the steps: obtaining three-dimensional point cloud data of the surface of a target object; generating a scanning path for detecting the target object based on the three-dimensional point cloud data; controlling a motion execution device to drive the detection probe to move along the scanning path to obtain ultrasonic image data of the internal structure of the target object; in the moving process of the detection probe, the contact force between the detection probe and the target object is maintained within a preset force value range; analyzing the ultrasonic image data, identifying a lumen contour and determining a narrowest position point; and adjusting the posture of the detection probe at the narrowest position point and executing secondary detection to obtain hydrodynamic data. The self-adaptive scanning path is generated through the three-dimensional point cloud data, the movement and the contact force of the detection probe are controlled, the ultrasonic image and the space position are associated, and the problems that the detection path is not attached to the curved surface, the contact force fluctuates, and the image space is not synchronous are solved.

The invention discloses in-service gas cylinder ultrasonic detection equipment which comprises a rotary driving module, an axial linear module, a probe module, a main supporting module and an auxiliary supporting module, and the main supporting module and the auxiliary supporting module are installed on the periphery of a to-be-detected gas cylinder at intervals; the rotary driving module is arranged on the main supporting module; the first end of the axial linear module is connected with the output end of the rotary driving module so as to rotate circumferentially along with the rotary driving module, and the second end of the axial linear module is connected with the auxiliary supporting module through a driven part; the probe module is installed on the moving part of the axial linear module. According to the invention, automatic and full-coverage scanning of the ultrasonic probe on the surface of the in-service gas cylinder is realized, the problems of low manual detection efficiency and poor reliability are effectively solved, and the detection efficiency and the data reliability are remarkably improved.

The invention provides a phased array composite material ultrasonic flaw detector control method and system, and relates to the technical field of ultrasonic detection, and the technical scheme is characterized in that multi-point distance data between a phased array probe and a detected curved surface of a composite material component is acquired; calculating local geometric parameters of a measured curved surface below the phased array probe based on the multi-point distance data; the actual transit time of ultrasonic echoes from a characteristic reflector in the composite material component is obtained; according to the calculated local geometric parameters and the obtained actual transit time of the ultrasonic echoes, the equivalent propagation sound velocity for representing propagation of the ultrasonic waves in the composite material component is determined; and calculating excitation delay time for each array element of the phased array probe according to the calculated local geometric parameters and the determined equivalent propagation sound velocity. The phased array composite material ultrasonic flaw detector control method and the phased array composite material ultrasonic flaw detector control system provided by the invention have the advantages of improving the detection sensitivity and the accuracy of defect evaluation.

The invention relates to the technical field of nondestructive testing, in particular to a PE (polyethylene) hot melting joint ultrasonic testing system and method based on hardness distribution. Hardness distribution data are collected, an internal microstructure is dynamically deduced, an ultrasonic anisotropy model is constructed, and a self-adaptive learning module is used for predicting local anisotropy tensor and sound velocity distribution; and performing predictive dynamic path compensation and multi-mode focusing on the ultrasonic waves. And finally, deeply fusing ultrasonic features, hardness distribution, a microstructure and a defect evolution physical model, and intelligently identifying defects through a neural network. The invention solves or at least relieves the bottleneck of precise recognition of complex defects of a microstructure of the PE hot-melt joint and deep fusion detection of multi-modal data, and provides the ultrasonic detection system and method for the PE hot-melt joint based on hardness distribution, so that precise evaluation of internal defect types, severity and material performance is realized, and the service safety and reliability of a PE pipeline are improved.

A system may comprise a neural network trained to predict mechanical damage to field-deployed industrial equipment with a main or supplementary function to transfer heat change phase, or drive / limit a reaction. The neural network may be trained using an idealized geometry. A processor may receive process input data from the equipment and may provide the data to the trained neural network. The processor may generate a prediction of mechanical damage using the trained neural network and the process input data. The process input data may comprise temperature data collected during operation. A scanning device may generate a digital twin of at least a portion of the equipment through scanning and ultrasonic testing. A monitoring module may monitor processes through a control system to collect the process input data. The neural network may comprise a convolutional neural network configured to calculate damage using a surrogate model.

The utility model relates to ultrasonic rapid detection equipment, which comprises a rack, the rack is provided with a plurality of groups of moving seats and a first driving assembly for driving the same group of moving seats to move synchronously, one group of moving seats comprises two moving seats, and the moving seats are provided with a plurality of abutting cylinders. A plurality of moving wheels are rotationally connected to the opposite side walls of the two moving seats, two moving frames and a second driving assembly for driving the two moving frames to synchronously move are further arranged on the rack, rollers and rotating parts for driving the rollers to rotate are arranged on the moving frames, coupling liquid is arranged in the rollers, and the coupling liquid is connected with the rotating parts through a connecting rod. And an ultrasonic probe is mounted on the movable frame and is positioned in the coupling liquid. The effect of improving the detection efficiency of the ultrasonic detection equipment is achieved.

The invention relates to the technical field of physical analysis, in particular to a bridge structure damage detection method and system for bridge engineering, and the method comprises the steps: obtaining an infrared detection image of a bridge structure of the bridge engineering through infrared equipment, and determining all potential crack regions and steel bar regions of the bridge structure according to the infrared detection image, according to the potential crack area and the reinforcing steel bar area, a moving path avoiding the reinforcing steel bar area is determined, the potential crack area is scanned along the moving path through ultrasonic equipment, an ultrasonic detection result is obtained, and interference of the reinforcing steel bar area on damage detection and the probability of missing detection are reduced; according to the ultrasonic detection result, the supplementary scanning direction is determined, supplementary scanning is carried out based on the supplementary scanning direction through the ultrasonic equipment to determine the target crack area, the scanning direction of the ultrasonic equipment is more comprehensive through supplementary scanning in the supplementary scanning direction, and therefore the target crack area is obtained according to the target crack area. And a more accurate damage detection result of the bridge structure is determined.

The invention provides a method and a device for detecting defects of base metal under a surfacing layer on the inner wall of a connecting pipe and related equipment, and the method comprises the following steps: acquiring a plane test piece and a connecting pipe test piece, and arranging a plurality of artificial reflectors and a plurality of simulation defects on the base metal under the surfacing layer of the plane test piece and the connecting pipe test piece; based on a preset ultrasonic detection probe and ultrasonic detection parameter combination, performing ultrasonic scanning on the plane test piece to obtain first scanning data, and determining first ultrasonic detection configuration; based on the first ultrasonic detection configuration, performing ultrasonic scanning on the connecting pipe test piece to obtain second scanning data, and determining target ultrasonic detection configuration according to the second scanning data; based on the second scanning data and the defect attribute information of the second group of simulation defects, constructing a defect identification rule of the target takeover; and performing ultrasonic scanning on the target takeover based on the target ultrasonic detection configuration and the defect identification rule to obtain target defect data. The accuracy of defect detection of the base metal under the surfacing layer can be improved.

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

The invention relates to the technical field of ultrasonic detection, and discloses an implicit neural representation-based model generation method and device, equipment and a medium, and the method comprises the steps: obtaining a two-dimensional image sequence collected by detection equipment and spatial pose information corresponding to image frames, analyzing periodic motion, screening the image frames in a stable motion stage, and generating a to-be-reconstructed image sequence. And processing the to-be-reconstructed image frame, and extracting segmentation data of the target object. And training an implicit neural representation model based on the to-be-reconstructed image sequence, the spatial pose information and the target object segmentation data, inputting the three-dimensional space coordinates into the model, generating corresponding image information and semantic information, and generating a three-dimensional model of the target object. According to the method, the stable image frames are screened and the implicit neural representation model is trained by analyzing the spatial pose information, so that the data utilization efficiency and the precision and continuity of three-dimensional model reconstruction are improved, and high-precision continuous three-dimensional reconstruction is realized without external registration or breathing cooperation.

The invention provides a nondestructive testing method and system for the quality of a filling body based on ultrasonic pulse speed, and belongs to the technical field of green mining of deep mineral products and quality detection of filling bodies. The system integrates an ultrasonic pulse wave velocity test module, a data processing module, a result output module and an adaptive calibration module which work cooperatively. According to the method, a UCS-UPV power function quantitative model is constructed through a three-factor multi-level test, in-situ-indoor deviation is eliminated in combination with an environment + stress two-dimensional adaptive correction coefficient, and filling body quality grading and evaluation are achieved through on-site ultrasonic detection and strength inversion. According to the method, nondestructive detection is adopted, various stope scenes from shallow parts to deep parts are adapted, a quality control closed loop and a data tracing system can be formed, stope stability and mining safety are effectively guaranteed, and the technical problems that a traditional detection method is high in destructiveness, high in cost and poor in timeliness, and existing ultrasonic detection is insufficient in adaptability and limited in precision are effectively solved.

The invention relates to the technical field of ultrasonic detection, in particular to a cable aluminum sheath defect grading detection method based on multi-frequency guided waves, which comprises the following steps: determining propagation characteristics of each guided wave mode according to a frequency dispersion curve, and determining excitation frequency for detecting a main mode based on the propagation characteristics; arranging and installing a transducer array on the cable aluminum sheath; according to the coarse screening main modal frequency, low-frequency guided waves are emitted, guided wave echo signals are collected, and low-frequency guided wave coarse screening is carried out to determine a suspected defect interval; and transmitting ultrasonic guided waves to the suspected defect interval according to the fine screening main modal frequency, accurately positioning the suspected defect interval, determining a comprehensive score through multi-feature weighting calculation, and determining a defect grade according to the comprehensive score. Low-frequency guided wave coarse screening is combined with wavelet transform and entropy verification, a suspected defect interval can be quickly locked, high-frequency fine screening extracts multi-dimensional defect features through variational mode decomposition, and accurate positioning of defect positions and scientific judgment of grades are achieved.

The invention discloses a full-automatic steel plate internal defect on-line detection system based on an ultrasonic phased array, and relates to the technical field of nondestructive testing, and the system comprises an intelligent analysis module which is in communication connection with an on-line detection module and is used for operating an artificial intelligence rating model to carry out processing and preliminary evaluation on original ultrasonic detection data, outputting an initial evaluation result containing the defect space position; and the high-precision verification module is in communication connection with the intelligent analysis module, and is used for intercepting a corresponding sample steel plate according to the defect space position in the preliminary evaluation result, and verifying and measuring the sample steel plate through a high-precision detection means to generate defect true value data. According to the invention, the double quality control modules are combined with the look-ahead control and the backtracking control, so that the subsequent steel plate detection quality is guaranteed, the historical detection data deviation is corrected, the whole-cycle quality control is realized, the missing detection rate and the false detection rate are effectively reduced, and the quality stability of steel plate products is improved.

The invention belongs to the technical field of nondestructive testing of oil and gas pipelines, and particularly relates to a design method of a wireless passive electromagnetic ultrasonic testing system for an oil and gas pipeline. According to the design method, the mapping impedance between the coils is directly coupled into a corresponding circuit by utilizing a mutual inductance effect, and all electrical parameters in an electromagnetic ultrasonic detection system do not need to be quantized. Meanwhile, according to different circuit characteristics of an excitation stage and a receiving stage of the wireless passive electromagnetic ultrasonic detection system, resonant capacitance parameters are independently calculated and optimized, so that the transduction efficiency of the wireless passive electromagnetic ultrasonic detection system is remarkably improved, and the signal-to-noise ratio of signals is improved. The design method comprises the following steps: drawing equivalent circuit diagrams of an excitation stage and a receiving stage of the wireless passive electromagnetic ultrasonic detection system; determining a resonance circuit of a host receiving end; determining a resonance circuit of the transducer unit in the excitation stage; determining a resonance circuit of a host excitation end in a receiving stage; a resonant circuit of the transducer unit is determined.

The invention relates to the technical field of transformer insulating oil, in particular to an insulating oil ultrasonic detection method based on proxy model optimization. The method comprises the following steps: generating an initial excitation signal by a generator; driving a transmitting transducer to generate an actual transmitting ultrasonic signal by using the initial excitation signal; acquiring a propagation response signal after the actually transmitted ultrasonic signal passes through the to-be-detected insulating oil; inputting the initial ultrasonic signal and the propagation response signal into a proxy model, and outputting a physical and chemical parameter estimation value and a prediction variance of the to-be-detected insulating oil by the proxy model; if the prediction variance meets a preset requirement, taking an insulating oil parameter estimation value output by the proxy model as a detection result; and if the prediction variance does not meet the preset requirement, updating the generator according to the prediction variance, generating a new excitation signal by the generator, and repeating the detection process of the to-be-detected insulating oil until the prediction variance meets the preset requirement.

The invention discloses an ultrasonic detection auxiliary device and an ultrasonic detection method.The ultrasonic detection auxiliary device is used for achieving indirect coupling of a probe (sensor) and a detected pipeline during ultrasonic detection of a special-shaped welded joint under the condition that weld reinforcement is not ground down, and the ultrasonic detection auxiliary device comprises a box body, a water pipe assembly and a fixing assembly. The box body is variable, so that the bottom of the box body is attached to the outer surface of the detected pipeline and is not influenced by the weld reinforcement; the water pipe assembly is arranged in the box body and used for achieving water filling, water discharging and air discharging in the box body. The fixing assembly and the detected pipeline are magnetically attracted to achieve attachment of the box body and the outer surface of the detected pipeline. According to the ultrasonic detection auxiliary device and the ultrasonic detection method provided by the invention, ultrasonic detection of a special-shaped welding joint at a B-level technical level can be realized under the condition that the weld reinforcement is not ground down, so that a large amount of manpower, materials, electric power and working hours required by grinding down the weld reinforcement are saved; and the influence of dust, noise and the like generated by polishing on the environment and human health is avoided.

The invention discloses an ultrasonic double-wave detection and monitoring method and an ultrasonic double-wave transducer, and the ultrasonic double-wave transducer comprises a piezoelectric element which is used for exciting a longitudinal wave signal and a transverse wave signal at the same time under the excitation of a single electric pulse; the backing layer is positioned on the back surface of the piezoelectric element and is used for absorbing longitudinal wave energy radiated to the back surface by the piezoelectric element; the matching layer is arranged between the piezoelectric element and the tested workpiece and is used for acoustic impedance matching; the electrical connection device is used for connecting an external excitation generator and receiving equipment; and the metal shell is used for packaging the piezoelectric element, the backing layer, the matching layer and the electrical connection device and is provided with a structure for applying pre-tightening force. According to the invention, dual-mode excitation is realized through a single piezoelectric plate structure, and the efficiency, precision and reliability of dual-wave ultrasonic detection are improved.

This invention discloses a quantitative evaluation method for the homogeneity of lightweight aggregate concrete based on rapid ultrasonic testing, belonging to the field of engineering materials testing technology. The method includes: S1, obtaining the shear wave velocity and longitudinal wave velocity at multiple test points of a series of lightweight aggregate concrete reference specimens; S2, calculating the shear modulus and bulk modulus at each test point of each reference specimen; S3, calculating the elastic modulus at each test point of each reference specimen; S4, constructing a relationship between the lightweight aggregate volume content, shear wave velocity, and longitudinal wave velocity based on the elastic modulus obtained in step S3; S5, obtaining the shear wave velocity and longitudinal wave velocity at each test point of the specimen to be tested, and calculating the lightweight aggregate volume content at each test point of the specimen to be tested based on the relationship; S6, evaluating the homogeneity of the specimen to be tested based on the lightweight aggregate volume content calculated in step S5. This invention solves the technical problem of insufficient accuracy in ultrasonic testing results for the homogeneity of lightweight aggregate concrete.