1074 results about "Sound field" patented technology

The invention provides an acoustic coalescence elimination method for hydrogen bubbles in molten aluminum, and belongs to the technical field of molten aluminum bubble elimination. According to the method, sound field collaborative focusing is achieved by arranging a phase control array transducer set in a molten aluminum smelting furnace, primary gathered sound waves and efficient coalescence sound waves are applied in stages according to bubble size evolution in a double-frequency scanning mode, and the hydrogen bubbles in the molten aluminum are eliminated. A target frequency is dynamically adjusted in combination with a bubble resonance frequency optimization model to match the inherent frequency of a bubble, a sound-bubble coupling dynamic tracking system is used for monitoring bubble evolution triggering stage switching in real time, and a sound field focus point dynamically scans and covers a three-dimensional space area through phase delay control. A delay detection method is adopted to eliminate cavitation bubble interference and accurately measure the hydrogen content, sound intensity and frequency parameters are optimized according to a sound field parameter self-adaptive regulation and control model, and the technical problem that hydrogen bubbles in a molten aluminum deep area are difficult to be effectively driven by sound waves and cannot be fully coalesced and eliminated is solved.

The invention relates to the technical field of environmental noise monitoring, and discloses a road traffic noise intelligent monitoring and three-dimensional sound field reconstruction system, which comprises an acoustic sensor module, a data collection and storage module, a data analysis and evaluation module, a three-dimensional sound field construction and display module and a traffic flow feature library. According to the system, a differential geometry principle is adopted, a sound field is regarded as a Riemannian manifold with a local microstructure, and accurate description of an irregular sound field is realized through a curvature self-adaptive sound field manifold construction technology; introducing a covariant derivative in Riemannian geometry, and constructing a sound propagation model adapted to a complex road environment; and realizing hierarchical decomposition and reconstruction of the sound field by using a multi-scale analysis theory. According to the method, the sound source positioning precision and the calculation efficiency are improved, seamless analysis from microcosmic to macroscopic is realized, an innovative solution is provided for traffic and noise collaborative management, and intelligent traffic and environmental noise management are effectively supported.

The invention provides a physical model driven deep neural network sound field reconstruction method under a small sample condition. The method comprises the steps of obtaining a training sample; establishing a deep learning neural network, wherein the input and output of the neural network are spatial position coordinates and sound pressure values corresponding to the coordinate positions respectively; training a neural network model by using the training sample; and performing sound field reconstruction on the target area by using the trained neural network model. According to the invention, the physical law of sound wave propagation is introduced into the training process of the neural network, so that the neural network not only can learn the characteristics of data in the training process, but also can follow the physical characteristics of sound wave propagation, thereby realizing sound field reconstruction with higher precision.

The invention discloses a method for realizing ocean sound field prediction based on a pre-training optimized physical information neural network, which comprises the following steps of: pre-training: constructing a hypothetical ocean environment, generating simulation data in a sound pressure envelope form by using an acoustic numerical calculation tool, and pre-training the physical information neural network to learn a physical rule of sound field propagation; fine tuning: adjusting an energy scale factor according to the proportion of the sound pressure amplitude of the actual measurement point to the sound pressure amplitude of the pre-trained environment, and performing fine tuning by using the envelope amplitude data of the actual measurement sound field for the pre-trained physical information neural network to obtain an ocean sound field prediction model through a pre-training-fine tuning dual-stage strategy; and ocean sound field prediction: according to the ocean sound field prediction model, obtaining a target position envelope from the to-be-predicted range, and then converting the target position envelope into a sound pressure result to realize ocean sound field prediction. The method can improve the high-frequency sound field modeling precision and training efficiency, and can be widely applied to the fields of ocean sound field modeling, sound source localization and environment inversion.

The invention belongs to the technical field of industrial automation control, and particularly relates to a control system and method of a battery shell cleaning machine, and the method comprises the steps: obtaining a sound field signal in a cleaning tank, and carrying out the preprocessing to remove direct current drift and low-frequency mechanical vibration; the permutation entropy of the sound field signals is calculated to evaluate load complexity, a penalty factor of variational mode decomposition is adaptively constructed according to the load complexity, and then a fundamental frequency mode and a high frequency mode are separated; constructing a risk index reflecting the cavitation erosion degree according to the energy ratio of the high-frequency mode and the time domain volatility of the high-frequency mode; and according to the deviation between the risk index and the safety threshold, cooperatively adjusting the frequency jitter amplitude and the power amplitude of the ultrasonic generator. According to the method, through a self-adaptive decoupling damage signal and double-variable cooperative control strategy, on the premise that high cleaning efficiency is guaranteed, destructive cavitation and resonance damage are effectively restrained, and the balance between the cleaning effect and workpiece safety is achieved.

The invention relates to the technical field of machine vision detection, and discloses a sealing ring vision detection system and equipment thereof, and the sealing ring vision detection system comprises a non-contact suspension and rotation driving module, a full-surface synchronous imaging and reconstruction module, a self-adaptive attitude control module based on image feedback, a defect analysis and directional reinspection module and a comprehensive evaluation and sorting control module. A sound field is generated through the non-contact suspension and rotation driving module, and the sealing ring is suspended in a detection area in a non-contact manner and is driven to stably rotate; when the sealing ring rotates, the full-surface synchronous imaging and reconstruction module synchronously acquires image data of the upper, lower, inner and outer side walls of the sealing ring; and the self-adaptive attitude control module based on image feedback corrects the suspension attitude of the sealing ring in real time. The system identifies and confirms defects by combining high-speed dynamic initial inspection and static directional reinspection strategies, and solves the problems of detection blind areas, positioning errors and complex structure caused by mechanical contact and multi-station transfer in the prior art.

The invention discloses a sound barrier sound insulation characteristic evaluation method suitable for a real ship complex sound field, and belongs to the technical field of real ship sound barriers, and the method comprises the steps: arranging hydrophone arrays at acoustic mirror symmetry positions at two sides of a real ship fairing sound barrier to form an in-situ measurement pair; controlling the ship to sail at a plurality of navigational speeds, and synchronously acquiring sound pressure time domain signals on two sides; carrying out preprocessing and time-frequency analysis on the signals, and calculating sound pressure levels of a sound facing surface and a sound backing surface to obtain an in-situ sound pressure level difference; and based on the sound pressure level difference at different navigational speeds, analyzing the change rule of the sound insulation performance along with the frequency and the navigational speed, and carrying out comprehensive evaluation. In addition, by arranging a vibration sensor and a turbulence measuring device, path separation of structural sound and flow-induced noise is achieved, spatial coherence weighted average is introduced, and the accuracy and representativeness of evaluation under a complex sound field are improved. The method overcomes the limitations of laboratory test environment distortion and single working condition, and can truly and comprehensively reflect the actual sound insulation efficiency of the sound baffle in the dynamic navigation of a real ship.

The invention discloses a conference sound reinforcement system based on an AI intelligent algorithm and 360-degree omni-directional noise reduction, and relates to the technical field of audio signal processing, the conference sound reinforcement system comprises a conference management center, the conference management center is in communication connection with the following modules: a multi-sound-source sensing module used for capturing 360-degree omni-directional sound field information in a conference environment and constructing a sound source space distribution model; according to the invention, the omnidirectional microphone array unit covers all directions of a conference space, synchronously collects audio data streams, eliminates the limitation of a conventional unidirectional microphone, combines the sound source positioning space mapping unit, constructs a sound source space distribution model based on the time difference of arrival and the phase difference through a deep learning model, and improves the sound source positioning accuracy. The azimuth angle, pitch angle and distance parameters of the sound source are accurately analyzed, the position of the sound source is mapped to a virtual space coordinate system, a dynamically updated 3D sound source distribution diagram is generated, the position change and intensity distribution of the sound source are reflected in real time, and the positioning precision in a complex acoustic environment is remarkably improved.

The invention relates to the technical field of biology, and particularly discloses a device and a method for separating an adherent cell through a vortex sound field, an ultrasonic module, piezoelectric ceramics and an Archimedes spiral structure concave lens are arranged to generate the vortex sound field to act on a cell culture dish, so that an adjustable shear flow is generated on the cell culture dish, and the adherent cell is separated from the cell culture dish. And locally separating the adherent cells in the cell culture dish. According to the concave lens with the Archimedes spiral structure, the problem of defocusing of a high-order vortex sound field can be solved, and the falling control accuracy of adherent cells is improved. The proposed method does not require any physical contact with adherent cells, and does not require insertion of an instrument into a cell culture dish, thereby reducing the risk of contamination and cell damage. The stable flow generated by absorbing sound energy by the liquid is used for indirectly separating the adherent cells, the method is extremely low in energy density and has good biocompatibility, and the activity of the cells is ensured while the cells are efficiently separated.

The invention discloses a transformer abnormity identification method based on voiceprint feature analysis, and belongs to the field of power equipment state monitoring and intelligent diagnosis. The method comprises the following steps: firstly, analyzing an iron core acoustic mechanism based on a magnetostrictive effect, and establishing a three-dimensional model through finite element simulation to obtain vibration and sound field characteristics; in a complex substation environment, a hybrid noise reduction method combining density peak clustering and a CEEMDAN-wavelet threshold is provided, and the signal-to-noise ratio is effectively improved. Then extracting Mel-frequency cepstrum coefficients (MFCC) and spectrum features, and performing local linear embedding (LLE) dimension reduction to form a compact feature set; in the recognition stage, a convolutional neural network framework is designed, specifically, a spectrogram and an energy spectrum are modeled through a two-dimensional CNN, an MFCC tensor obtained after dimensionality reduction is modeled through a three-dimensional CNN, and accurate diagnosis of mechanical faults such as core looseness is achieved. The method has the advantages of being non-contact, anti-noise and high in recognition precision, and real-time diagnosis and early warning of mechanical abnormity of the transformer can be achieved under complex working conditions.

The invention discloses a college dormitory noise multi-dimensional evaluation method based on psychoacoustic and sound field simulation, and belongs to the field of building environment and noise control. The objective of the invention is to solve the problem that an existing dormitory noise evaluation method is single in index and neglects subjective perception and spatial distribution heterogeneity. The method comprises the following steps: acquiring physical data and original audio of dormitory noise through multi-point synchronous acquisition; calculating loudness, sharpness, roughness, fluctuation intensity and comprehensive psychoacoustic annoyance (PA) by using a psychoacoustic model, and scientifically quantifying subjective interference of noise; meanwhile, sound field simulation is carried out based on the accurately established three-dimensional dormitory model, a sound pressure level distribution cloud picture is generated, and a standing wave phenomenon and a sound energy accumulation area are visually revealed; and finally, generating a targeted noise reduction optimization strategy by integrating subjective and objective and spatial analysis results. According to the method, full-chain diagnosis of physical characteristics-subjective perception-spatial distribution of dormitory noise is realized, and a scientific basis is provided for accurate and efficient noise treatment.

The invention discloses a three-dimensional acoustic visualization rendering method and system based on sound field modeling. The method comprises the following steps: arranging a microphone array to collect a multi-channel time domain audio signal, and carrying out short-time Fourier transform to obtain frequency domain complex sound pressure data; performing inversion based on a beam forming algorithm to obtain complex sound pressure of each voxel point in a three-dimensional space, and constructing a four-dimensional acoustic voxel matrix; further utilizing a volume ray projection algorithm to map the volume element data into color and transparency, and realizing three-dimensional rendering and visual expression of the sound field; the system supports frequency screening, time evolution playback, transparency adjustment and three-dimensional visual angle control, and the visual analysis capability of the sound field is improved; and meanwhile, a structured data output interface is provided and can be linked with an AI algorithm, so that intelligent functions such as acoustic anomaly detection and tuning optimization are realized. The method has the capabilities of high-precision modeling, deep rendering expression and intelligent expansion, and is suitable for various acoustic application scenes such as intelligent sound boxes, vehicle-mounted sound boxes, conference systems and the like.

The invention belongs to the field of artificial intelligence, particularly relates to an intelligent sound field adaptive system of digital professional sound equipment, and aims to solve the problems of inaccurate sound field regulation and control, response lag, dependence on manual tuning and the like in a complex acoustic environment. The system comprises a sound field sensing module, an acoustic modeling and analysis module, a self-adaptive sound field regulation and control engine, a multi-channel digital audio processing unit and a feedback optimization module, and dynamic sound field modeling, real-time audio processing and environment self-adaptive regulation and control are realized through distributed sensing, hybrid modeling, multi-target optimization and closed-loop feedback. The system supports rapid re-calibration, multi-scene memory and user preference learning, ensures voice clarity and music fidelity, balances full-field hearing consistency, and significantly reduces manual intervention requirements.

The invention provides a vehicle window dimming and sound field linkage vehicle privacy protection system and method.The system comprises environment perception, passenger state recognition, a privacy decision engine, an actuator set and a user interaction interface, and the perception data output end of an environment perception and passenger state recognition module is connected to the input end of the privacy decision engine; the control instruction output end of the privacy decision engine is connected with the actuator group, and the user interaction interface is in two-way communication with the privacy decision engine; the environment sensing module obtains the position and the external environment of a vehicle, the passenger state recognition module monitors the state of persons and audio in the vehicle, and the privacy decision engine outputs an instruction according to the state and drives the actuator set to achieve vehicle window partition dimming, directional acoustic masking and in-vehicle volume adjustment. The problems that a traditional vehicle privacy protection system operates independently, depends on manual operation and is incomplete in protection can be solved.

For example, one object is to realize more excellent sound field correction. An information processing apparatus includes a control unit that converts a transfer characteristic of a sound pressure from a speaker device to a listening position into an energy characteristic, and calculates a correction parameter for correcting a sound field generated by an output sound of the speaker device using the converted energy characteristic.

The invention relates to the technical field of intelligent lighting and voice interaction, in particular to a lamplight rhythm control system and method based on voice interaction, and the method comprises the steps: carrying out the analysis and feature extraction of a collected voice signal, and constructing a dynamic model which depicts the vortex core strength and position evolution of a sound field; an acoustic vortex sequence extracted based on the model is converted into an acoustic pattern sequence with space ductility through a pre-trained generative adversarial network. And carrying out space-time folding transformation on the pattern sequence to generate a high-dimensional acoustic instruction code so as to drive a lamplight array to present complex space rhythms associated with the dynamic depth of the voice. According to the method, the limitation of direct mapping of traditional audio visualization is broken through, intelligent generation and nonlinear mapping from a voice dynamic structure to light space art are realized, and the expressive force and immersion of acousto-optic interaction are improved.

This application provides a sound-field control method and device, an electronic device and a computer-readable storage medium. The method includes: obtaining a target sound field parameter, calculating a control parameter of a sound-generating device according to the target sound field parameter, and controlling operation of the sound-generating device according to the control parameter.

The invention relates to an audio processing method and device, a storage medium, a controller and a vehicle, and the method comprises the steps: receiving an audio signal inputted by a sound source, determining a processing mode of the audio signal according to the type of the sound source, processing the audio signal based on the processing mode, and obtaining a processed audio signal, and finally, the processed audio signal is transmitted to an audio playing assembly of the target sound area for playing, and the audio playing assembly comprises loudspeakers installed at at least two different target positions, so that a three-dimensional sound field space is constructed in the target sound area. Therefore, the audio processing effect can be improved on the basis of saving the cost, and an independent sound area and three-dimensional audio experience are provided for a user.

The invention relates to the technical field of audio processing, and discloses a wireless earphone multi-device cooperation method and system based on spatial audio rendering, and the method comprises the steps: extracting the multi-dimensional cooperation features of a wireless earphone, and generating a spatial audio rendering control instruction and a multi-device connection switching instruction; setting a cooperative control strategy set of a spatial audio rendering control instruction and a multi-device connection switching instruction in combination with the scene type, the visual focus coordinate and the noise interference index; calculating a sound field distortion value of the spatial audio rendering control instruction, and determining a dynamic bandwidth allocation value of an equipment audio priority; setting a multi-device audio output threshold of the wireless earphone through the dynamic bandwidth allocation value and the noise reduction intensity adjustment coefficient; and generating a multi-device audio switching scheme of the wireless earphone based on the cooperative control strategy set and the multi-device audio output threshold. The fracture risk of the space sound field in the switching process can be reduced, and the auditory experience of a user is improved.

The invention provides a building damage early-stage detection method and system based on multi-field coupling and related equipment, and relates to the technical field of house safety monitoring. Respectively acquiring excitation acoustic response, selected wave band spectral reflection and transient heat conduction response signals of the target building facade; performing time-frequency domain transformation processing on the signal to obtain a multi-physical field feature vector; obtaining target building facade material attribute parameters and environmental action historical data, and constructing a degradation evolution knowledge graph according to the attribute parameters and the environmental action historical data; performing similarity matching on the multi-physical field feature vector and each degradation mode feature template, and judging whether a potential degradation mode exists or not; if yes, time sequence correlation analysis is carried out on the potential degradation mode, physical field characteristic evolution trends in continuous M collection periods are determined, and a degradation development rate index is determined accordingly; and when the index is greater than a preset rate threshold, generating degradation early warning information.

The invention belongs to the technical field of nondestructive testing, and provides an ultrasonic full-focusing detection parameter optimization method and device for internal defects of a multilayer medium. The ultrasonic full-focusing detection parameter optimization method for the internal defects of the multi-layer medium comprises the following steps: according to a pre-generated three-dimensional model of the multi-layer medium containing a phased array probe, determining propagation path sound time of any pixel point in the three-dimensional model; performing full-focusing imaging on the propagation path sound time to determine a signal-to-noise ratio corresponding to the propagation path sound time, a sound field evaluation parameter and a ratio of a defect signal to an interface signal; and according to the signal-to-noise ratio, the sound field evaluation parameter and the ratio of the defect signal to the interface signal, optimizing the water immersion ultrasonic phased array full-focusing detection parameter of the internal defect of the multilayer medium. According to the water immersion ultrasonic phased array full-focus detection parameters obtained through optimization of the method, ultrasonic detection images with high quality can be obtained in subsequent experiments, and the high signal-to-noise ratio and the high defect positioning precision are achieved.

The invention provides a conference audio processing method and system based on multichannel broadcast and a medium. The method comprises the steps of obtaining conference reservation information, determining corresponding conference spokesman associated data and a semantic feature library according to the conference reservation information, obtaining a real-time conference single-path audio stream, and performing voice signal processing in combination with the semantic feature library and the conference spokesman associated data to obtain an optimized conference single-path audio stream. The method comprises the following steps: acquiring a speaking video and a speaking document image of a conference spokesman, performing spokesman separation and dynamic sound mixing processing according to the speaking video and the speaking document image in combination with an optimized conference single-path audio stream to obtain a multi-channel mixed audio stream, and performing multi-layer sound field reconstruction processing according to the multi-channel mixed audio stream to obtain an adaptive audio; according to the invention, through dynamic beam adjustment, spokesman separation, dynamic sound mixing processing and multi-layer sound field reconstruction, conference audio intelligent processing based on multi-channel broadcast is realized.

The invention discloses an underwater pile foundation state detection method and system, and the method comprises the following steps: determining an underwater pile foundation detection region, and arranging an annular sonar array around an underwater pile foundation in the detection region; the annular sonar array is controlled to scan around the underwater pile foundation, and echo signals are returned after scanning; collecting an echo signal, and processing the echo signal to obtain a modeling signal; based on the modeling signal, a three-dimensional sound field model around the underwater pile foundation is established, and various underwater pile foundation state related parameters are calculated according to the three-dimensional sound field model around the underwater pile foundation; and the various underwater pile foundation state related parameters obtained through multiple times of scanning are fused, various final underwater pile foundation state related parameters are obtained, and a pile foundation state detection report is generated based on the various final underwater pile foundation state related parameters. The method has the advantages of being wide in detection range, high in precision, high in adaptability and capable of achieving underwater pile foundation detection of multi-parameter synchronous monitoring, the structural safety of the underwater pile foundation can be effectively guaranteed, and the operation and maintenance cost is reduced.

The invention provides a self-wave-locking method and system based on laser photoacoustic spectrometry gas detection, and relates to the technical field of optical gas sensing, by fusing multi-physical field sensing data such as photoacoustic signals, sound field distribution, thermal deformation and the like, a first state vector representing the actual performance of a current system is calculated in real time, and a second state vector representing the actual performance of the current system is calculated in real time; a multi-objective optimization function is used for simultaneously optimizing a signal-to-noise ratio, linearity and energy consumption control to serve as a criterion, a cooperative control instruction is generated in a rolling mode, excitation light modulation parameters and cavity acoustic mode parameters are accurately adjusted, double dynamic tracking and locking of laser modulation frequency and cavity acoustic resonance frequency are achieved, and when external conditions change, the frequency of the cavity acoustic resonance frequency can be dynamically tracked and locked. According to the method, the detection sensitivity and the signal stability which are close to theoretical limits are automatically and continuously kept all the time, the calculated system nonlinearity index is used as an internal criterion, a concentration inversion mode is intelligently switched to carry out gas concentration value calculation, and seamless, continuous and wide dynamic range measurement from ppb level to percentage level is realized.

This invention relates to the field of audio processing technology, specifically to an adaptive scene sound effect adjustment method, device, and storage medium. The method includes: acquiring a mixed audio stream and the original playback audio; extracting an acoustic fingerprint vector using a pre-trained convolutional neural network; deconstructing the acoustic fingerprint vector to obtain multiple acoustic feature components; based on these components, identifying and determining the audio playback scene according to preset scene determination rules; constructing a time-frequency mask based on the audio playback scene; generating a noise reduction gain matrix based on the mask; simultaneously enhancing the sound field of the audio playback scene to obtain a sound field optimization matrix; and performing noise reduction and sound effect adjustment on the original playback audio based on the noise reduction gain matrix and the sound field optimization matrix, outputting the optimized playback audio. This invention can dynamically adapt sound effect adjustment according to different scenes, improve noise reduction accuracy, and enhance multi-scene sound quality adaptability.

The invention discloses a wind turbine blade internal damage diagnosis method based on a sound field graph neural network, and belongs to the technical field of wind turbine blade state detection, and the method comprises the steps: deploying a microphone array in a cabin, and collecting an acoustic signal when a blade rotates; constructing a space sound field graph structure by taking the microphone as a node and the sound wave propagation path as an edge; extracting nonlinear acoustic features by using a physical constraint graph neural network PC-GNN; generating a damage embedding vector based on self-supervised training contrast learning; and outputting a damage probability thermodynamic diagram and positioning information. According to the method, a directional microphone array is deployed in a cabin, and a sound wave propagation space diagram structure is constructed; designing a physical constraint graph neural network PC-GNN, and embedding an acoustic wave equation as a regularization item; the problem of scarcity of damaged samples is solved by adopting self-supervised contrast learning; and finally outputting a positioning thermodynamic diagram of the internal damage of the blade.

Surround sound systems can dramatically expand the size of a user's sound field. Much surround sound content is mixed in a simplistic way where the front audio is copied to the rear, at a lower volume. It can be difficult for users to appreciate the value proposition of a surround sound system without more compelling spatially complex content. Quantifying surround sound complexity of various content items based on an audio spatial complexity scoring system can address this issue. Algorithms can be implemented to determine an audio spatial complexity score based on audio channels of a content item. Large catalog of content items can be analyzed, and audio spatial complexity scores can be associated with various content items. If a user has a surround sound system, content items with a high audio spatial complexity can be retrieved or recommended to the user to demonstrate the surround sound system's value better.