154 results about "Acoustical imaging" patented technology

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 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 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.

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 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 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 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 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.

The application relates to the technical field of underwater detection, and discloses an underwater oil pipeline leakage detection method based on acoustic imaging and image recognition, which comprises the following steps: firstly, a wide-beam acoustic imaging is adopted to identify a candidate region with plume morphology; then, a high-coherence narrow-beam mode is switched to, the phase of a reference point echo after penetrating through the candidate region is detected, and a phase jitter quantization index is calculated; then, a collaborative judgment is carried out on the morphology feature and the phase jitter index, and a leakage event is confirmed; finally, three-dimensional scanning is carried out on the confirmed leakage region, a phase disturbance intensity spatial distribution map is constructed, and the peak point of the map is used to determine the accurate three-dimensional coordinates of a leakage source. Through the bimodal combination of the morphology feature of the target and the physical characteristic of the acoustic phase jitter caused by the leakage turbulent flow, the application can effectively distinguish the real leakage from acoustic false targets such as fish schools and suspended silt, significantly reduce the detection false alarm rate, and realize high-precision three-dimensional positioning of the leakage source.

The application relates to the technical field of power detection, in particular to a tower partial discharge detection method and system based on an acoustic imager. The method comprises the following steps: acquiring tower acoustic data collected by the acoustic imager; analyzing the tower acoustic data to determine an acoustic characteristic map; analyzing the acoustic characteristic map based on a preset discharge identification algorithm to determine a partial discharge type; matching the partial discharge type with a preset detection mode to obtain a matching relationship; and adjusting a detection frequency band of the acoustic imager according to the matching relationship. The method provides multi-dimensional discrimination basis for partial discharge type identification, matches the partial discharge type with the preset detection mode, improves the synchronization rate of the detection time of intermittent discharge, reduces the missed detection rate, helps to eliminate positioning errors in a high-humidity environment, reduces the equivalent propagation distance calculation error, and meets the high-precision positioning demand in a complex environment.

The utility model discloses a kind of submarine hydrothermal plume acoustic imaging simulation devices, it is related to marine detection technical field, including simulation bin, the simulation bin is set to cylindrical structure, the top of the simulation bin is fixedly provided with fixed seat, the middle part of the fixed seat is fixedly provided with imaging sonar, the outside wall of the simulation bin is penetrated and is provided with two groups of liquid inlet pipes.The utility model is set to two groups of liquid inlet pipes outside the simulation bin, and two groups of liquid inlet pipes are set at the tangent of simulation bin, one end of liquid inlet pipe is provided with movable spray head, and the simulation fluid for simulating hydrothermal plume can be injected into simulation bin through liquid inlet pipe and movable spray head, and collide in simulation bin to achieve the simulation of hydrothermal plume, in this process, by controlling movable spray head up and down movement, the collision angle of two groups of simulation fluid can be controlled, to improve the simulation range of device.

The invention provides an acoustic imaging processing method and acoustic imaging equipment. The method comprises the following steps: acquiring audio data of each microphone in a microphone array of an acoustic imager when the acoustic imager is located in a current space; based on the audio data of each microphone, determining a current maximum sound intensity point coordinate corresponding to the current space, the current maximum sound intensity point coordinate being used for representing the position of a sound source; determining a reference microphone according to the current maximum sound intensity point coordinate and a mapping relation between each maximum sound intensity point coordinate obtained in a calibration process and each microphone priority list; and displaying a sound source imaging result based on the audio data of the reference microphone. According to the invention, the reference microphone can be rapidly and accurately selected, and the determined reference microphone can optimally reflect the actual characteristics of the sound source in the current space.

The invention provides an acoustic imaging system and method for an underwater target, and the system comprises a transducer which is used for transmitting a first sound wave signal to an underwater target object, so that the first sound wave signal is reflected at a first position, and an echo signal is formed; the laser sensing device is used for emitting a laser beam and determining echo wave vector information of an echo signal based on first phase information of the laser beam under the influence of the echo signal; and determining normal information at the first position according to the first sound wave vector information and the echo vector information of the first sound wave signal so as to form acoustic imaging of the underwater target object. Vector information of the normal vector is fused into acoustic imaging, high-quality imaging is achieved, the precision of the wave vector information of the echo signal also meets the requirement of high-resolution acoustic imaging, and the acoustic imaging effect can be effectively achieved especially in underwater long-distance and small-target imaging detection scenes.

A portable acoustic imaging system includes a casing selectively attachable to a portable computer device and a plurality of microphones disposed in the casing. The microphones are arranged in a defined array for capturing acoustic data.

The present disclosure relates to a method and device for acoustically imaging fan noise, an electric vehicle charging pile, and a storage medium. The method comprises: acquiring a noise time-domain signal generated by a fan when the fan is running; performing time-frequency conversion on the noise time-domain signal based on a short-time Fourier transform algorithm to obtain a noise frequency-domain signal; inputting the noise frequency-domain signal into a delay-and-sum beamformer to perform beamforming to obtain beam data; positioning principal component data of the beam data to obtain sound power data; and generating a sound image containing a sound source position according to the sound power data. In this embodiment, the resolution of the noise can be improved by positioning the principal component of the beam data, which achieves the effect of accurately positioning the sound source position and is conducive to obtaining a more accurate sound image.

The invention relates to the field of acoustic imaging, and discloses an electric power inspection acoustic imaging device which comprises a base, two fixing rods are fixedly connected to the top of the base, cross rods are fixedly connected to the inner walls of the two fixing rods, receiving plates are fixedly connected to the sides, close to each other, of the two cross rods, and the electric power inspection acoustic imaging device further comprises an adjusting mechanism, the adjusting mechanism comprises a fixing column, the bottom of the fixing column is fixedly connected to the receiving plate, the top of the fixing column is in contact with a bottom plate, a rectangular groove is formed in the top of the fixing column, connecting plates are fixedly connected to the left side and the right side of the bottom of the bottom plate, and rolling wheels are rotationally connected to the sides, close to each other, of the two connecting plates through rotating shafts. According to the acoustic imaging device, the shaking shell and the shaking ball are arranged, so that when different positions of the array microphone are adjusted, angle adjustment in different directions can be carried out through the spherical contact area, and the array microphone can collect sounds in different angles.

This invention discloses a bubble discharge test device in transformer insulating oil, belonging to the technical field of transformer testing equipment. It includes a test chamber containing insulating oil. Inside the test chamber are simulated heating and discharge components, with the simulated discharge component located above the simulated heating component. Outside the test chamber are an insulating oil filter, a bubble injection component, and an acoustic imaging monitoring component. The simulated discharge component includes a parallel, vertically arranged grounding electrode plate and a high-voltage electrode plate, as well as a distance adjustment mechanism connected to the high-voltage electrode plate. The acoustic imaging monitoring component is located above the simulated discharge component. This invention can accurately and comprehensively simulate the discharge characteristics of bubbles in transformer insulating oil.

The application relates to the technical field of equipment intelligent monitoring and diagnosis, and provides a coal gas pressurizing fan leakage monitoring method and system based on multi-parameter measurement and dynamic weighted fusion. Through dynamic weighted fusion of multiple sensors, the defects that single parameter monitoring is easily disturbed by high-speed airflow and environmental fluctuation are overcome, and the sensing sensitivity and reliability for early and small leakage are improved; through a two-stage diagnosis mechanism of multi-parameter abnormal preliminary judgment-acoustic imaging accurate positioning, the problem that only alarm can be given but positioning cannot be performed in the prior scheme is solved; through an adaptive decision strategy based on fuzzy logic and machine learning, the judgment logic is dynamically self-adjusted according to working condition changes such as fan speed, load and environmental temperature, and the false alarm rate is effectively reduced; through optimization of sensor arrangement, a limited and efficient multi-sensor array is arranged at key risk points of the coal gas pressurizing fan, and cooperates with an event-triggered acoustic imaging device to work, so that the monitoring complexity is simplified while the monitoring effect is ensured.

The invention discloses a hardware acceleration deployment method of an ultrasonic full-focus algorithm on an FPGA (Field Programmable Gate Array) platform, and relates to the technical field of deployment of an acoustic imaging algorithm on the FPGA platform, a master-slave structure taking the FPGA platform as a master controller is adopted, and a plurality of FPGA slaves are controlled to collect and calculate parameters in parallel through channel gating; a full-focus parameter calculation process is modularly divided, the calculation throughput rate is improved through a pipeline method, and calculation results of the multiple FPGA slaves are transmitted to the FPGA host for imaging; furthermore, a mirror image full-focus calculation method is adopted, parameter multiplexing is achieved through a recombination calculation process, and the parameter calculation time is shortened by half. The problems that an ultrasonic full-focusing imaging algorithm is complex in calculation, long in time consumption and difficult to deploy in a lower computer platform can be solved, development of a low-cost and light-weight ultrasonic phased array full-focusing online detection instrument is facilitated, and the method has important significance on maintenance and health monitoring of a pressure container.

1. The name of the design product: portable acoustic imaging instrument. 2. The use of the design product: the design product is used for acoustic imaging detection, sound source positioning, etc. 3. The design points of the design product: the shape of the product. 4. The picture or photo that best indicates the design points: design 2 perspective view 1. 5. Designate design 2 as the basic design. 6. Other circumstances that need to be explained: design 1 is the product form of the portable acoustic imaging instrument with other functional modules, such as infrared thermal imaging module; design 2 is the portable acoustic imaging instrument.

The utility model relates to the technical field of acoustic imagers, and discloses a handheld acoustic imager which comprises an outer ring and an inner ring, the inner ring is arranged on the inner side of the outer ring, an annular groove is formed in the inner wall of the outer ring, a handle is installed on the outer wall of the outer ring, balls are installed on the outer wall of the inner ring, a balance weight plate is installed on the inner side of the inner ring, and the balance weight plate is arranged on the inner side of the outer ring. An acoustic imaging device is arranged on the upper side of the balance weight plate, a first clamping plate is arranged on the rear side of the balance weight plate, a second clamping plate is arranged on the front side of the balance weight plate, and a screw rod is installed on the front side of the first clamping plate. The acoustic imaging equipment is arranged on the counterweight plate, the threaded sleeve is rotated to drive the second clamping plate to contract towards the first clamping plate, so that the acoustic imaging equipment is clamped and fixed, and the acoustic imaging equipment is fixed in the lower half area of the inner ring, the center of the inner ring is kept downward all the time, and under the action of the balls, the acoustic imaging equipment is fixed. And the inner ring and the acoustic imaging equipment are always in a parallel state, so that the acoustic imager is prevented from inclining easily when being held by a hand.

The invention discloses a two-dimensional wave field reconstruction method based on compressed sampling, and belongs to the technical field of signal processing and sensors. According to the method, original time domain signals of a two-dimensional wave field are expressed as a three-dimensional matrix, random sampling is carried out through a Bernoulli distribution random sampling matrix, after the three-dimensional matrix is reduced into a two-dimensional matrix, a group sparse perception convolutional neural network is constructed to serve as a non-convex optimization solver, a real part and an imaginary part of a complex signal are processed, group sparse constraint is applied, and a non-convex optimization solver is constructed. And reconstructing the basis coefficient matrix to obtain an original signal reconstruction result, and finally raising the dimension to restore the original signal into a three-dimensional wave field. According to the method, the sampling rate is reduced, the reconstruction precision is improved, large-scale data set training is not needed, each training is an independent reconstruction process, and the method is suitable for the fields of acoustic imaging, seismic exploration and the like.