75 results about "Acoustical imaging" patented technology

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 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 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 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 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 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.

This invention relates to a method and system for locating coaxial counter-rotating sound sources in rotorcraft, belonging to the technical field of sound source identification methods. It includes: processing the sound pressure signal of the moving sound source using continuous wavelet transform to obtain time-frequency domain variation results; performing Doppler effect correction based on experimental conditions; estimating the spatial location and relative intensity of the noise source using a cross-spectral matrix and weight vector; and performing phase-locked analysis of the rotor noise source intensity using a phase-locked averaging method. This invention differs from traditional time-domain delay superposition algorithms and frequency-domain cross-correlation spectrum methods. It can image unsteady sound sources using time-frequency domain characteristics, solving the acoustic imaging problem of counter-rotating propeller noise and possessing potential applications in the rotorcraft industry.

The invention discloses a rape proper fertilization amount test screening method, which comprises the following steps: acquiring chlorophyll fluorescence parameters of rape canopies of all test areas, screening the test areas with abnormal chlorophyll fluorescence parameters according to the chlorophyll fluorescence parameters, and generating a rape canopy physiological status early warning list; based on the rape canopy physiological status early warning list, positioning sonic sensor nodes, generating a sonic sensor node group, and scanning rape root zone soil according to the sonic sensor node group to obtain a soil medium acoustic characteristic data set; and converting the soil medium acoustic characteristic data set into an acoustic wave velocity distribution diagram and a signal absorption coefficient diagram through an acoustic imaging algorithm, and carrying out space registration and data fusion to generate a rape root zone soil acoustic characteristic profile map. According to the method, lossless visual representation of the root zone soil structure and the root morphology is realized, so that accurate root spatial distribution and physical property insight are provided.

This invention belongs to the field of acoustic detection technology for partial discharge in power equipment, and relates to an array-type acoustic imaging partial discharge detection method and system. The method includes: establishing the correspondence between channel identifier sequences and array geometric parameters; dividing the array into subgroups according to a fixed subgrid and generating a synchronous sampling time sequence to acquire multi-channel pulse density modulation signals; demodulating and extracting the signals, bandpass filtering and pulse framing; constructing a forward-backward spatial smoothing covariance matrix and using minimum variance distortionless response beamforming to calculate the spatial spectrum to generate an acoustic image; and registering and superimposing the acoustic image with a visible light image to output the positioning result. The technical solution of this application achieves high-contrast imaging and stable positioning output through temporal and geometric consistency constraints, which can improve the consistency of on-site interpretation and meet the requirement of repeatable positioning under weak partial discharge ultrasonic conditions.

The invention belongs to the technical field of marine geological exploration, and particularly relates to a seabed sediment classification method and system based on a side-scan sonar image, and the method comprises the steps: introducing an acoustic imaging physical mechanism based on a Lambertian reflection model, carrying out the inversion of acoustic parameters of seabed sediments, and revealing the cause of echo intensity from the physical level; meanwhile, a superpixel segmentation algorithm is combined, analysis units with consistent structures are formed in space, noise interference is effectively reduced, and the salt and pepper phenomenon in pixel-level classification is avoided; furthermore, multi-source fusion is performed on image features, reflection features and topographic features, and the precision, the spatial continuity and the physical interpretability of seabed sediment classification are remarkably improved by utilizing the complementary advantage of multi-dimensional information. The method is suitable for seabed sediment classification in a complex terrain environment. The invention also provides a non-transitory readable recording medium storing the program of the method and a system comprising the medium, and the program can be called through a processing circuit to execute the method.

The invention discloses a hydrogen leakage monitoring system for a hydrogen-oxygen fuel cell, and particularly relates to the technical field of cell hydrogen leakage monitoring, and the hydrogen leakage monitoring system comprises an electrochemical impedance early warning module, a multi-source fusion anti-interference module and an active positioning and confirming module which are connected in sequence. The electrochemical impedance early warning module monitors the change of the impedance spectrum characteristic of the galvanic pile and starts a multi-stage confirmation process to realize early warning of the leakage risk; the multi-source fusion anti-interference module generates a high-reliability leakage alarm by fusing multi-sensor data and analyzing a leakage diffusion space-time mode; and after receiving the early warning, the active positioning and confirming module fuses acoustic imaging and airflow measurement information, and outputs position estimation and confidence evaluation of a leakage source based on Bayesian reasoning. According to the invention, the whole-process monitoring from early warning, reliable alarm and accurate positioning is realized, and the timeliness, accuracy and reliability of monitoring are obviously improved.

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

The invention discloses an unmanned ship full-coverage connection topological optimization path planning method and system for underwater target search and detection, a storage medium and electronic equipment, and the method comprises the steps: firstly carrying out the environment modeling and rasterization of a detection region, and obtaining a free grid set and neighborhood state information; the method comprises the following steps: establishing a mixed integer linear programming model containing geometric continuity constraints and topological structure rewards to obtain a global optimal rectangular decomposition scheme under the balance of geometric boundary cost and topological connection rewards; establishing a minimum turning spanning tree to minimize the turning times of the coverage path by judging the connection type and turning cost between the rectangles; and finally, generating a smooth coverage trajectory in combination with the kinematics constraint of the unmanned ship. According to the method, the problem of sonar image distortion caused by too many turning times in the existing coverage path planning method is solved, the global turning times of the coverage path are reduced, the problem of detection precision decline caused by the fact that acoustic imaging conditions are damaged due to frequent turning maneuvering in the traditional path is solved, and the detection path quality is optimized.

The invention relates to a high dynamic range sound source imaging method based on a double attention mechanism, and the method comprises the steps: receiving a space sound field signal through a microphone array, and processing the space sound field signal into a frequency domain signal; performing cross-spectrum matrix characteristic filtering processing on the frequency domain signal to obtain a complex frequency domain signal vector; performing adaptive enhancement on a real part and an imaginary part of the complex frequency domain signal vector by using a double attention mechanism; fusing the enhanced real part with the enhanced imaginary part to obtain an enhanced signal vector; and performing beam forming calculation by using the enhanced signal vector to generate an acoustic image. According to the invention, the real part attention module and the imaginary part attention module are introduced in parallel at the front end of beam imaging, and the amplitude and phase characteristics of the acoustic signal are subjected to adaptive weighted enhancement, so that the spatial information in the array signal is fully mined, the dynamic range of acoustic imaging and the robustness in a noise environment are significantly improved, and the method is suitable for wide application. And a better solution is provided for precise fault diagnosis and acoustic monitoring.

The invention discloses a method and a system for detecting internal abnormal sound of switch equipment based on a robot, and the method comprises the steps: controlling the robot to move towards a preset detection position of the switch equipment based on a control instruction inputted by a user; video data of the switch equipment is acquired through video acquisition equipment arranged on the robot, audio data of the switch equipment is acquired through a pickup arranged on the robot, and acoustic imaging data of the switch equipment is acquired through an acoustic imager arranged on the robot; and transmitting the acoustic imaging data, the audio data and the video data to a remote control terminal in real time so as to identify the internal abnormal sound state of the switch equipment through the remote control terminal based on the sound field distribution characteristics in the acoustic imaging data and the sound characteristics in the audio data. According to the invention, the danger problem of manual close-range detection can be solved, the detection efficiency and the automation degree are improved, the abnormal sound position can be accurately positioned, noise interference can be filtered, and a reliable basis is provided for fault early warning of switch equipment.

A handheld acoustic imaging tool and method of imaging acoustic signals includes receiving acoustic signals from a scene, identifying a subset of the acoustic signals based on a predetermined condition of an acoustic parameter of the acoustic signals, and generating a display image using electromagnetic image data representative of electromagnetic radiation from the scene. The display image visually indicates a location in the scene corresponding to the subset of the acoustic signals. Generating the display image may further include using acoustic image data representative of the subset of the acoustic signals, wherein the electromagnetic image data and the acoustic image data are shown together in the display image. In some cases, the acoustic image data in the display image may be palettized according to the acoustic parameter, for example according to an amount, an amount of change, or a rate of change, of the acoustic parameter.

This invention belongs to the field of image data processing technology, specifically a method and system for post-disaster power line inspection based on acoustic imaging, including the following steps: S1, synchronously collecting acoustic imaging data, optical images, and infrared thermal imaging data of post-disaster power lines, and achieving feature-level fusion of acoustic-optical-infrared three-modal data through generative adversarial networks or convolutional neural networks to generate a fused image; this invention achieves feature-level fusion of acoustic-optical-infrared three-modal data through a GAN network, the generator module takes the acoustic image as input and supplements details missing in the optical image due to smoke obscuring, such as conductor break points, the discriminator module optimizes the realism of the generated image, and in the fused image, acoustic features are displayed in pseudo-color channels, optical features are displayed in RGB channels, and infrared features are displayed in temperature gradient maps, thereby solving the problem of low accuracy of traditional decision-level fusion.

The invention relates to a system (10) for imaging a body (11) of a person. The system (1) comprises a sensor unit (12) configured to capture first imaging data of the body, wherein the sensor unit (12) comprises an optical camera and / or an infrared camera and / or an acoustic imaging sensor; an electromagnetic, EM, wave scanner (14) configured to capture second imaging data of the body, wherein the EM wave scanner comprises a plurality of antennas (15) which are configured to transmit EM radiation in a mm and / or cm range towards the body (11), and to receive a reflection of said EM radiation from the body (11); and a processing unit (16) which is configured to process the first imaging data and the second imaging data and to generate a three-dimensional image (33) of the body (11) based on said processing.

This invention provides an acoustic imaging method based on the enhancement of three-dimensional features of underwater targets, comprising: establishing an underwater three-dimensional acoustic imaging model; dividing the imaging area into multiple two-dimensional spherical slices centered at the sound source; discretizing each spherical slice into a set of grid points; constructing a signal receiving model; constructing a three-dimensional L1-TV norm optimization problem based on the underwater three-dimensional acoustic imaging model to enhance the three-dimensional features of the underwater target; decomposing the three-dimensional L1-TV norm optimization problem into several sub-problems using the alternating multiplier method; solving each sub-problem based on the Chambolle projection method and the near-end mapping algorithm to obtain its analytical or numerical solution, thereby achieving three-dimensional imaging of the underwater target. This invention effectively utilizes the three-dimensional features of the underwater imaging area and the contour information of the underwater target, resulting in fewer artifacts in the imaging results, clearer target contours, and improved imaging quality.

This invention discloses an intelligent target detection and real-world annotation system based on acoustic-optical imaging, comprising: a multimodal data acquisition module for acquiring acoustic wave data and visible light image data; a data processing circuit module for preprocessing the microphone acoustic wave data and visible light image data; an intelligent target detection and localization module that uses a deep learning algorithm to detect targets of interest in the visible light image, while simultaneously matching the acoustic imaging algorithm module to perform sound source localization and sound field imaging of the targets of interest, and then fusing the acoustic imaging results with the target detection results in the visible light image to achieve target detection and localization; and a real-world annotation module that uses a projector or matrix lighting to generate projected content based on the detection results, enabling interactive annotation of the observation space. This invention can achieve multimodal detection and localization of targets of interest in different scenarios, and is particularly suitable for occluded and hidden targets. Furthermore, by adding an annotation projection module, realistic human-computer interaction can be achieved.