229 results about "Acoustical imaging" patented technology

The invention relates to a rapid non-contact sensing detection method for a bolt loosening defect of a power transmission line tower, and belongs to the technical field of power system maintenance and monitoring. The method comprises the following steps: constructing a bolt vibration characteristic dynamic database, and detecting the bolt loosening condition by adopting an impact elastic wave principle; recognizing the bolt loosening condition of the power transmission line tower by using an acoustic imaging technology, an infrared imaging technology and an electromagnetic field detection technology; a power transmission line tower bolt looseness early warning model is constructed, and the power transmission line tower bolt looseness condition is obtained by adopting detection data of real-time acoustic imaging, infrared imaging and electromagnetic field detection; and finally, early warning of looseness of the bolt of the power transmission line tower. By combining multiple detection means, the detection efficiency and accuracy of the bolt loosening defect of the power transmission line tower are improved, so that the maintenance cost is reduced, and the reliability and safety of a power transmission system are improved.

The invention discloses an array type multichannel acoustic imaging device and an abnormal sound source positioning display method, and the device comprises a main microphone array which is used for collecting sound signals of a target region; the camera device is used for collecting an image of the target area; the thermal imaging device is used for collecting a thermal image of the target area; the first data processing and analyzing module is used for identifying an abnormal sound signal of the target area and preliminarily estimating the position of an abnormal sound source; acquiring sound field distribution of the abnormal sound source and generating a sound field image by using an acoustic imaging algorithm; the second data processing and analyzing module is used for inputting the change rate of the sound wave parameters of the unit area and the temperature into a second neural network model, obtaining the sound velocity of the unit area in the sound field image, calculating the temperature of the unit area, fusing the sound velocity of the unit area with the temperature of the corresponding unit area in thermal imaging and determining the abnormal temperature; and the display screen is used for displaying the sound field image marked with the abnormal temperature. The abnormal sound source can be effectively distinguished and positioned, and the abnormal temperature can be displayed.

The invention provides a multi-scale while-drilling acoustic imaging logging device and method. An eccentric acoustic logging acoustic system and an active transmitting and receiving ultrasonic logging acoustic system are oppositely embedded in the outer side face of a drill collar. The eccentric acoustic logging acoustic system measures radial and circumferential acoustic characteristics of medium and long-distance stratums in an eccentric transmitting and receiving mode; the active transmitting and receiving ultrasonic logging acoustic system measures circumferential acoustic characteristics of a near-well-wall stratum in an up-down transmitting and middle compensation receiving mode; determining real-time azimuth information of rotation of the device by using an azimuth detection module; the main control electronic bin is in communication connection with all the substructures, transmits instructions and obtains sound waves, ultrasonic pulse waves and azimuth information, and sound velocity imaging data of near-well-wall stratums and medium-long-distance stratums are formed. By applying the device, the problems of small detection range, low measurement resolution, poor imaging precision, single measurement information and the like in the prior art can be solved, and comprehensive and fine evaluation on heterogeneity and anisotropy of underground geology and accurate detection on anomalous bodies can be synchronously realized.

The invention discloses an acoustic imaging positioning method for intelligent monitoring of electric power engineering regional faults, which relates to the technical field of fault monitoring, and comprises the following steps: arranging a microphone array to collect sound wave signals, and monitoring and recording sound data in real time; determining the spatial position of a sound source by using an ultrasonic sound source positioning technology; sound source distribution generated by the equipment fault is displayed; displaying the relationship between the three-dimensional position of the equipment fault point and the surrounding environment; fault sound sources are classified, and types and reasons are determined; a diagnosis result is fed back in real time, a fault position is displayed, and inspection and repair suggestions are provided; and detecting the health condition of the equipment in combination with a machine learning model, predicting potential faults and giving out early warning. According to the invention, a high-precision microphone array and an ultrasonic sound source positioning technology are utilized, the distribution state of a sound source in a space is displayed in real time through an imaging mode of superposing an acoustic image and a visible light image, a partial discharge point, a gas leakage point and an equipment abnormal sound site are rapidly determined, and the inspection efficiency and the maintenance speed are improved.

The invention discloses a single crystal turbine blade crystal orientation defect detection system based on adaptive optics, particularly relates to the field of nondestructive testing, and is used for solving the problem that thermal damage and signal consistency are difficult to consider in acoustic imaging of complex structural parts. Through partition energy threshold setting, dynamic pulse planning, photoacoustic processing and unified coordinate cross-subarea data synthesis, local thermal damage caused by excessive concentration of energy is effectively avoided in the material detection process, and the requirement for collecting high-bandwidth signals can be met in a large range. The signal-to-noise ratio and the detection efficiency are improved by regulating and controlling pulse energy and a scanning path, the amplitude comparability and the image coherence among regions are ensured through signal normalization correction and subregion image set splicing, high-resolution and comprehensive-coverage acoustic mapping is output, the crystal orientation defects of the single crystal turbine blade are positioned and evaluated, the detection precision is improved, the measurement period is shortened, and the method is suitable for large-scale popularization and application. And the method has an applicable value for aero-engine parts requiring rapid and high-precision nondestructive detection.

The invention relates to the technical field of acoustic imaging, and relates to a phase holographic imaging device based on an acoustic metamaterial, which comprises a sound wave generator, an LAM metasurface and a control unit, the sound generator is used for generating plane sound waves; the LAM metasurface is used for receiving sound waves and modulating phase and amplitude; the control unit is used for controlling the structure and the geometrical shape of the cells in the LAM metasurface; enabling sound waves to reach a decoupling point in the internal structure space of the LAM metasurface under the irradiation of front sound; decoupling modulation of the phase and amplitude of surface reflection sound waves by the cells is realized; and the processor is used for calculating the sound pressure projected to the holographic surface phase position according to the input image, and adjusting the size parameters of the cells in the LAM metasurface through the controller. After the incident sound wave interacts with the LAM metasurface, the incident sound wave is demodulated and re-modulated and is reflected at an angle perpendicular to the LAM subsurface. The LAM metasurface does not apply any angle constraint to incident sound waves; the angle of the reflected wave is always perpendicular to the LAM surface. And the imaging quality of the required phase acoustic hologram after amplitude compensation is met.

Broad frequency acoustic imaging techniques for inspection and analysis of mechanical equipment are disclosed. In some instances an acoustic imaging device may obtain acoustic response data regarding acoustic signals emitted by mechanical equipment across a plurality of frequencies. The frequencies may be selected based on a characteristic of the mechanical equipment, or may be broadly selected across an acoustic frequency range. The acoustic signals may be compared to baseline acoustic signals emitted by mechanical equipment, and analyzed to determine at least one of a severity of degradation or a type of degradation.

The invention relates to the technical field of acoustic imaging, and discloses an acoustic imaging system of a concentric-circle nested microphone array, which comprises a central microphone and the concentric-circle nested microphone array. The concentric nested microphone arrays are concentrically arranged by taking the central microphone as the center, a plurality of microphones are distributed on each layer of circular microphone array according to a nested array rule, and the distance between each layer of adjacent microphone arrays is d. By adopting a unique circular nested microphone array structure, the position information of a sound source can be accurately captured through the cooperative work of multiple layers of microphone arrays. A plurality of microphones are distributed in each layer of microphone array in a circular nested array, a multi-dimensional sound acquisition network is formed by combining a central microphone, and meanwhile, the signal processing module gradually extracts and reconstructs sound source information in a sound field by utilizing a CLEAN-SC algorithm and through iterative decomposition and removal of strongest components in sound source signals, so that a sidelobe interference image is effectively inhibited, and the sound quality is improved. Therefore, a high-resolution sound power distribution diagram is obtained, and acoustic imaging is realized.

The invention discloses a GIS equipment defect three-dimensional visual positioning method based on acoustic imaging, and relates to the related technical field of GIS equipment, and the method comprises the steps: constructing a sound intensity detection dual system; sound source signals of the GIS equipment are synchronously acquired, and near-field acoustic signals and far-field acoustic signals are output; performing frequency band separation through a self-adaptive band-pass filter, and identifying near acoustic abnormal features and far acoustic abnormal features of the separated frequency band; carrying out spatial positioning fusion and outputting a positioning point; and importing a GIS equipment three-dimensional model according to the sound source fusion positioning point, and outputting a GIS equipment visual positioning result. The technical problems that in the prior art, the GIS equipment defect detection range is limited, the positioning precision is insufficient, the defect space position is difficult to visually present, the equipment defect positioning is not rapid and accurate enough, and the equipment operation and maintenance efficiency and reliability are affected are solved. The technical effects of quickly and accurately positioning the equipment defects and effectively improving the operation and maintenance efficiency and reliability of the equipment are achieved.

The invention discloses a sound source localization method based on multi-frequency separation and Newton optimization deconvolution, relates to the technical field of array acoustic signal processing, and is used for solving the problem that weak sound sources and multiple sound sources are difficult to identify. According to the method, dominant frequency is extracted through multichannel frequency domain analysis, a cross-spectrum matrix is constructed in combination with a near-field propagation model and a guide vector, delay summation beam forming is executed to obtain sound source preliminary distribution, then the distribution is regarded as a convolution result, a maximum likelihood model is introduced, and a two-stage deconvolution strategy of coarse estimation and Newton method fine optimization is adopted to obtain a high-resolution sound source. According to the multi-sound-source positioning method, subgrid-level analysis of sound source positions and amplitudes is achieved, finally, all frequency results are fused, continuous sound source images are smoothly output through a two-dimensional Gaussian kernel, the resolution and real-time performance of multi-sound-source positioning are remarkably improved, and the multi-sound-source positioning method is suitable for high-precision acoustic imaging in a complex sound field.

The invention provides a fault positioning method and device, electronic equipment, a storage medium and a product, and the method comprises the steps: obtaining an acoustic signal of to-be-tested equipment, the acoustic signal being a sound signal generated by the to-be-tested equipment due to a device fault; based on the acoustic signal, utilizing an acoustic imager to display a sound pressure distribution image of the to-be-tested equipment; and determining an area corresponding to the first identifier in the sound pressure distribution image as a fault area of the to-be-detected equipment.

The invention discloses a seismic wave velocity model inversion method based on time-space coupling deep learning, and the method achieves a time-space coupling mechanism through a Fourier neural operator framework of a wavelet transform-attention mechanism, and supports the reconstruction of a spatial two-dimensional velocity model from a time sequence track of multiple seismic sources. Firstly, the local time-frequency representation of each seismic time-domain trajectory is extracted by adopting continuous wavelet transform, and then a wavelet time-frequency spectrogram is coded through a convolution feature extractor. Then, information from multiple sources is fused at each receiver point location through a multi-head attention mechanism, enhancing correlation between multiple sources. And finally, projecting the fused features into a two-dimensional Fourier neural operator to efficiently learn space mapping and reconstruct a bottom-layer velocity model based on sound velocity. According to the method, the time sequence characteristic and the spatial distribution characteristic of the seismic channel are fully utilized, the precision and robustness of an inversion result are improved, and a more reliable speed model is provided for geological structure interpretation and acoustic imaging.

An acoustic device and related user interface design is provided. The acoustic device enables the visual diagnosis of potential issues from a sound source in the scene, e.g., based on visually presenting one type of graphical element indicating a frequency band and another type of graphical element indicating a noise level at the sound source at the frequency band.

The utility model discloses an acoustic imaging device, and belongs to the field of acoustic imaging. The device comprises a microphone array, a data acquisition processing circuit and a connector. The microphone array is connected with the data acquisition and processing circuit, the data acquisition and processing circuit is connected with the connector, and the connector is connected with a mobile intelligent terminal directly or through a data line; the mobile intelligent terminal comprises but is not limited to an intelligent mobile phone and a tablet personal computer. In some embodiments, the connector and the mobile intelligent terminal are combined into a rigid whole, and in some embodiments, a clamp is further included and used for being combined into a rigid whole with the mobile intelligent terminal. Compared with an existing sound imager, the sound imager can display a detection result through the mobile intelligent terminal, can be conveniently combined with the mobile intelligent terminal to form a rigid whole, and is more portable, easier to use and lower in cost.

The invention relates to the technical field of new energy power station monitoring, in particular to a new energy power station anomaly detection method and system based on acoustic imaging, and the method comprises the steps: obtaining the acoustic sequence information of a target new energy power station photovoltaic panel, and arranging a plurality of monitoring units based on the acoustic sequence information; transmitting sound waves with a preset frequency to the photovoltaic panel through a sound wave transmitter, collecting reflected sound wave data through an acoustic imaging sensor, and generating an acoustic image sequence; identifying and identifying anomalous reflection regions of the plurality of acoustic images based on the acoustic image sequence; carrying out image difference processing on the acoustic image sequence, and carrying out region detection on an acoustic difference image to obtain an abnormal region of the photovoltaic panel; and classifying the abnormal areas of the photovoltaic panel, and performing cross verification on the preliminary abnormal detection result by using abnormal reflection distribution to generate abnormal distribution of the photovoltaic panel. By emitting specific sound waves to the photovoltaic panel and analyzing the reflection characteristics of the sound waves, the structural change of the internal material of the photovoltaic panel can be sensed.

The invention discloses an equipment defect positioning method and device, a storage medium and computer equipment, and the method comprises the steps: obtaining a visible light image, an infrared image and an acoustic image of to-be-detected equipment collected by inspection equipment, extracting equipment image features from the visible light image, extracting infrared partial discharge features from the infrared image, and obtaining an infrared partial discharge feature of the to-be-detected equipment; and extracting acoustic imaging features from the acoustic imaging; performing feature fusion on the equipment image features, the infrared partial discharge features and the acoustic imaging features to obtain fusion features, and inputting the fusion features into a defect identification model to determine whether the equipment to be detected has defects; if the to-be-detected equipment has the defect, acquiring a first coordinate when the inspection equipment collects an image, and determining a second coordinate corresponding to the defect according to the first coordinate; and according to the second coordinate, positioning the defect on a three-dimensional model corresponding to the to-be-detected equipment.

The utility model discloses a portable acoustic imager, which relates to the technical field of imagers and comprises a shell. A displayer and a square microphone array disc are installed on the two sides of the shell respectively, a plurality of microphone probes are arranged on the microphone array disc, a visible light imaging module surrounded by the microphone probes is arranged in the center of the microphone array disc, and thermal imaging modules not surrounded by the microphone probes are arranged at the corners of the microphone array disc. A mainboard and a power supply module for supplying power to the mainboard are arranged in the shell; the mainboard is connected with the microphone probe, the visible light imaging module and the thermal imaging module through the signal adapter plate; according to the utility model, under complicated field working conditions such as similar gas path system abnormal points, equipment abnormal hot spots, poor cable contact, circuit overload, power supply faults and the like, the acoustic-thermal imaging integrated design can cover the two fields of gas leakage and thermal imaging detection, and early prediction and rapid diagnosis and maintenance can be effectively carried out.

The present application relates to the field of digital signal processing, and provides a correction method and apparatus for a microphone array, a device and a storage medium. The method comprises: acquiring an original response value matrix obtained by a microphone array collecting a sound source in a working frequency band; determining a reference function relationship matrix, the reference function relationship matrix being used for representing a function relationship between a response value of a scalar microphone in the working frequency band and a response value of each microphone in the microphone array; and correcting the original response value matrix on the basis of the reference function relationship matrix. The method is suitable for the imaging process of an acoustic imager, and is used for improving the consistency of a microphone array in the acoustic imager.

The invention relates to the technical field of underwater detection, and discloses an underwater oil pipeline leakage detection method based on acoustic imaging and image recognition, and the method comprises the steps: firstly, employing wide-beam acoustic imaging to recognize a candidate region with a plume form; then switching to a high-coherence narrow beam mode, detecting the phase of the reference point echo after passing through the candidate area, and calculating a phase jitter quantitative index; performing cooperative judgment in combination with morphological characteristics and phase jitter indexes, and confirming a leakage event; and finally, performing three-dimensional scanning on the confirmed leakage area, constructing a phase disturbance intensity spatial distribution diagram, and determining accurate three-dimensional coordinates of a leakage source according to a peak point of the phase disturbance intensity spatial distribution diagram. Through bimodal combination of the morphological characteristics of the target and the physical characteristic of sound wave phase jitter caused by leakage turbulence, the method can effectively distinguish real leakage from acoustic false targets such as fish schools and suspended silt, significantly reduces the detection false alarm rate, and achieves high-precision three-dimensional positioning of a leakage source.

The invention discloses a marine ranch fish school monitoring method based on acoustic imaging, and belongs to the field of fish school intelligent monitoring, and the method comprises the steps: obtaining a noise interference component from compensated coverage range data, correcting signal fusion through employing Kalman filtering, and obtaining a fusion signal with noise suppression; acquiring a trajectory tracking sequence from the three-dimensional motion vector, and predicting motion complexity by adopting particle filtering to obtain centimeter-level accurate positioning coordinates; extracting a density model and body length estimation parameters from the reliable monitoring data set, and fusing biomass measurement logic to obtain a final fish school biomass value; aiming at the final fish school biomass value analysis distribution mode, correcting deviation by adopting a statistical model, and determining an optimized biomass distribution diagram; and generating an alarm signal according to the optimized biomass distribution diagram, and if the biomass distribution is judged to be abnormal, triggering real-time notification to obtain monitoring response data. According to the invention, the precision and real-time performance of fish school monitoring are obviously improved.

The utility model provides an integrated module type tail gas treatment system with a gas leakage detection function. The integrated module type tail gas treatment system comprises a dry pump treatment module, a tail gas treatment module and a connecting pipeline module, the tail gas treatment module is arranged on one side of the dry pump treatment module; the dry pump treatment module comprises a first dry pump treatment system and a second dry pump treatment system which are horizontally arranged, and gas leakage detection devices are arranged in the first dry pump treatment system and the second dry pump treatment system; the gas leakage detection device comprises an acoustic imaging detection device and a telescopic rotating support assembly, and the acoustic imaging detection device is arranged on the telescopic rotating support assembly. Thus, the gas leakage detection device can detect whether gas leakage occurs in the pipeline or not in real time and position the gas leakage position, once the gas leakage condition is found, an alarm prompt can be given out in time, the leakage position can be overhauled in time, and heavy losses caused by leakage of a large amount of gas are prevented.

The invention discloses a defect positioning method, system and device based on vehicle-mounted fusion detection and a medium, and belongs to the technical field of distribution line fault detection. The method comprises the steps that a coordinate system is established according to the environment of a detected vehicle; the method comprises the following steps: collecting detection data through a vehicle-mounted probe, and preprocessing the detection data; when the vehicle is detected to be in a denial environment, optimizing the preprocessed detection data by constructing an acoustic reflection path model and a dynamic mask, and extracting infrared partial discharge features and acoustic imaging features; judging the discharge condition of the distribution line by using an acoustic infrared registration fusion mechanism; the infrared partial discharge features and the acoustic imaging features are fused, a fusion detection result is obtained, and a defect part is judged in combination with a line equipment drawing or a three-dimensional model; and combining the defect part with the coordinate system to obtain a defect coordinate, and rechecking the defect part by using the detection equipment according to the defect coordinate. According to the invention, the problem that accurate fault detection and fault positioning of the fault part of the distribution line cannot be realized in the prior art is solved.

The invention discloses a wind power variable pitch test system, method and equipment based on a wireless sensing network. The system comprises a multi-mode wireless sensing device, a quantum sensing integration device, an acoustic imaging analysis device, a data preprocessing device, a data processing device, an analysis device, a strategy generation device, a calibration device, an energy management device and a control device. The system integrates multiple advanced technologies such as multi-mode wireless sensing, quantum sensing and acoustic imaging, multi-dimensional parameter data of the wind power variable pitch system can be comprehensively and accurately collected and analyzed, and the quality and reliability of the data are effectively improved through the data preprocessing device and the data processing device. And the analysis device can predict the service life of the wind power variable pitch system by using the processed data, so that a scientific basis is provided for maintenance and management of a unit. The strategy generation device dynamically generates the test strategy according to the analysis data, and the test process is optimized. The calibration device ensures the accuracy and stability of the sensing device.

The invention discloses a distribution line defect positioning method based on beam imaging, and the method comprises the following steps: 1, enabling an unmanned plane to carry a wireless acoustic imager and a camera, and enabling the wireless acoustic imager to be provided with a microphone array; step 2, collecting array sound wave signals of the distribution line to be detected through a microphone array; the camera collects video pictures in real time; step 3, performing time delay compensation on the array sound wave signals based on the prediction model; step 4, analyzing sound source distribution data to carry out defect positioning; and 5, fusing the sound source distribution data and the video picture to generate a sound image cloud picture containing the sound source distribution data and the video picture. The structure is simple, the design is reasonable, in the process of outputting the time delay predicted value of the array sound wave signal based on the prediction model and constructing the spatial spectrum according to the covariance matrix, firstly, singular value decomposition is performed on the covariance matrix, the calculation process is simplified, the calculation efficiency is improved, the high calculation requirement in real-time processing is further met, and the use effect is good.

An acoustic imaging device including an acoustic sensor array is configured to receive information indicating a rotational speed of a mechanical device, and based on the rotational speed, select one or more frequencies at which to analyze acoustic data representing an acoustic signal from the mechanical device. In some cases, the acoustic imaging device is configured to capture the acoustic data at the one or more frequencies from an environment including the mechanical device. The acoustic data may be captured within one or more frequency bands associated with historical failure modes of the mechanical device. The acoustic imaging device may automatically determine a severity of degradation of the mechanical device based on a combination of the rotational speed and the acoustic data. Image data depicting the mechanical device may be overlaid with information derived from the acoustic data in at least a portion of the one or more frequencies.

The invention discloses a partial discharge detection method based on phase and frequency synchronization, and the method comprises the following steps: obtaining an acoustic signal in the operation of electrical equipment and an externally applied voltage waveform of the electrical equipment, generating an acoustic image spectrum, and adjusting the frequency of the externally applied voltage waveform to enable the frequency to be consistent with the reference frequency in the acoustic image spectrum; the externally applied voltage waveforms are matched and fused with the sound image atlas to obtain an integrated signal atlas; intercepting a complete cycle wave from a signal spectrum corresponding to each discharge source in the optimized integrated signal spectrum, and analyzing complete cycle data to obtain a PRPD spectrum; and comparing data information contained in the PRPD atlas with different types of insulation defects in a database, and determining which type of insulation defect the partial discharge belongs to and recording. According to the partial discharge detection method based on phase and frequency synchronization, the acoustic imaging and phase synchronization technology is combined, accurate partial discharge detection is achieved, the acoustic signals and the electrical signals can be synchronized, and the detection precision and reliability are greatly improved.

The invention discloses a gas pipeline leakage detection positioning algorithm based on acoustic precise imaging, and the algorithm comprises the following steps: building a basic three-dimensional space model, marking the position of a pipeline and the positions of sensors in the basic three-dimensional space model, and enabling the number of the sensors to be three; establishing a three-dimensional space model of the pipeline in the established basic three-dimensional space model according to the position of the pipeline and the position of the sensor; and establishing a three-dimensional space coordinate system in the basic three-dimensional space model based on the positions of the pipeline and the sensor. During implementation, gas conveying is monitored through an acoustic imaging method, and the monitoring can be carried out regularly, so that a pipeline is monitored in real time; a large amount of labor cost is reduced, the defect of omission possibly caused by manual inspection is avoided, and safe use of the pipeline is guaranteed; in the form of acoustic imaging, the influence caused by terrain, weather and the like can be effectively reduced.

The invention relates to the technical field of acoustic imaging, in particular to a low-power-consumption composite multichannel acoustic imaging method and system, and the method comprises the steps: obtaining a sampling acoustic signal, and transmitting the sampling acoustic signal to a three-stage pipeline structure; at the front end, acquiring the signal characteristics of the sampling acoustic signal to select a corresponding deserializing path so as to acquire a plurality of paths of parallel data streams; at the middle end, distributing a plurality of paths of parallel data streams to each processing unit, acquiring acoustic environment information, and distributing a corresponding target frequency point k and a frequency point demand number x1 to each processing unit; carrying out DFT (Discrete Fourier Transform) operation on each path of parallel data stream to respectively obtain a corresponding covariance matrix; obtaining a steering vector matrix and combining the plurality of covariance matrixes to generate parallel beams; and at the rear end, obtaining a phase compensation coefficient, converting the phase compensation coefficient into a fir filtering parameter to carry out phase error correction on the parallel wave beams, and then carrying out parallel-to-serial processing to generate serial output. The method has the effect of reducing the calculation power consumption during acoustic imaging.

The invention relates to the technical field of integrity detection of oil and gas wellhead devices and station process pipelines, and particularly discloses a wellhead device and station process detection evaluation management system, method and product. Wherein online ultrasonic scanning and data acquisition can be carried out on a wellhead device and a pipeline through the matched wellhead detection terminal and station pipeline detection terminal; three-dimensional ultrasonic field self-correction is adopted, a phased array sound field is accurately calibrated, high-precision three-dimensional acoustic imaging under a complex structure is achieved, good coupling between a probe and a detected body is ensured, and defect echoes are accurately obtained; in combination with a multi-order echo recognition algorithm and a deep learning model, intelligent analysis is performed on the acquired ultrasonic data, so that the defect recognition rate and analysis efficiency are greatly improved, and automatic extraction and classification of defect features are effectively realized; the defect grade and risk are automatically evaluated through an algorithm, and real-time quantification and dynamic evaluation of a detection result are achieved.

1. The name of the design product: acoustic imaging instrument. 2. The use of the design product: acoustic instrument for detecting and locating acoustic signal source. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: combination state figure 1.