916 results about "Sound pressure" patented technology

A calibration method comprises adjusting an operating frequency of an air-pulse generating device, such that a sound pressure level (SPL) of the air-pulse generating device is within a specific range. The sound producing module comprises the air-pulse generating device configured to produce sound via generating a plurality of air pulses at a pulse rate corresponding to the operating frequency.

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 relates to the technical field of concrete bubble monitoring, in particular to an aluminum film system concrete bubble dynamic monitoring and regulating method which comprises the following steps: applying a high-frequency alternating current with a first preset parameter to an aluminum film system to induce eddy current in an aluminum film and enable the aluminum film to generate thermally induced acoustic vibration; meanwhile, an eddy current thermally induced acoustic response signal reflected by an internal interface of the concrete is obtained; based on the response signal, determining current bubble state information in the concrete, including amplitude attenuation characteristics based on the sound pressure signal, frequency spectrum characteristics based on the sound pressure signal and phase delay information; and based on the bubble state information, a regulation and control instruction of a second preset parameter is generated, the regulation and control instruction is executed to adjust the parameter of the high-frequency alternating current applied to the aluminum film system, and directional traction regulation and control are conducted on the bubbles in the concrete. According to the invention, by means of an eddy current thermally induced sound technology, dynamic distribution, including the number, the particle size, the motion trail and the like, of bubbles is captured in real time, and instantaneous changes in the pouring process can be accurately reflected.

The invention discloses a novel induction-type magneto-thermo-acoustic detection method for the conductivity of a supercapacitor, and relates to the technical field of nondestructive material detection.The method comprises the steps that a steady-state static magnetic field and a pulse alternating magnetic field are introduced to form a composite excitation field, and a magneto-acoustic effect and a thermo-acoustic effect are simultaneously and cooperatively excited in a solid-state electrode material; the magnetoacoustic-thermoacoustic coupling effect is formed, eddy current induced by a pulse alternating magnetic field in the material not only generates joule heat, but also generates a direct carrier of Lorentz force under the action of a steady-state static magnetic field, the two physical effects are derived from the same electromagnetic excitation process, but the mechanisms for generating acoustic signals are complementary to each other, so that the effect of the magnetoacoustic-thermoacoustic coupling is achieved. The two effects are coupled as a unified sound source item, a sound pressure wave equation is established, the equation describes a sound field excitation process under the combined action of a force source and a heat source, the coupling mechanism remarkably enhances the strength and information abundance of ultrasonic signals, and the inherent defect that a single thermoacoustic detection method is insensitive to a high-conductivity material is overcome.

The invention provides an ultrasonic detection method for internal defects of an insulating part of a power system based on a piezoelectric ultrasonic transducer, and belongs to the technical field of insulating part detection. After wavelet denoising and deep attenuation compensation are carried out on echo signals, sound path distance time delay and sound pressure amplitude parameters are extracted, defect identification and position estimation are carried out by utilizing a layered variational auto-encoder, a high-frequency transducer is switched to aiming at tiny defects, a harmonic component is extracted by adopting a nonlinear ultrasonic method, and a characteristic size is calculated; a defect distribution space feature matrix is generated based on a synthetic aperture focusing technology, a unified or personalized processing strategy is selected according to an acoustic characteristic homogenization degree evaluation value, a complete defect detection result is output, and the technical problem that deep weak defects in the electric insulation part are difficult to accurately detect and recognize is solved.

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 relates to a main sound device and a sound device control method, the main sound device and at least one auxiliary sound device form a surround sound system, and the main sound device comprises a controller configured to send a volume acquisition request used for requesting volume information of the auxiliary sound device; receiving first volume information, wherein the first volume information is used for indicating an output sound pressure level supported by the target auxiliary sound equipment; determining a target sound pressure difference, wherein the target sound pressure difference is a sound pressure level corresponding to the difference between the distance from the main sound box to the user and the distance from the target auxiliary sound box to the user; based on a first audio signal corresponding to the main sound box, the current output sound pressure level of the main sound box, a second audio signal corresponding to the target auxiliary sound box, the first volume information and the target sound pressure difference, determining a third audio signal played by the main sound box based on the current output sound pressure level and a fourth audio signal played by the target auxiliary sound box based on the target output sound pressure level, the sound pressure level when the third audio signal reaches the user and the sound pressure level when the fourth audio signal reaches the user meet the consistency condition.

The invention relates to the technical field of heat supply pipe networks, in particular to a small sample learning pipeline leakage identification method based on multi-dimensional acoustic feature fusion, which comprises the following steps of: acquiring sound pressure data based on a main line of a heat supply pipe network, analyzing signal amplitude and frequency features by a sliding window, constructing a multi-dimensional acoustic feature set, screening and aggregating leakage and normal state samples, and identifying leakage and normal state samples. Comparing the difference between the new data and the prototype, quantifying the feature distance, and judging the leakage state according to the minimum attribution principle. According to the method, multi-angle behavior expression is established, a typical category prototype is generated through feature induction, multi-category feature center aggregation and dynamic measurement are combined, the high-reliability judgment capability of the leakage state is improved, compared with a traditional technology, leakage signals are comprehensively represented through multi-dimensional features, and the reliability of the leakage state is improved. The adaptability to environmental noise, sudden interference and a complex pipe network structure is effectively enhanced, misjudgment is reduced, the dependence on a large amount of labeled data is greatly reduced through the small sample learning technology, and the data collection and labeling cost is remarkably reduced.

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.

A display device including a display unit; a cover coupled to a back surface of the display unit; a circuit board mounted on a first surface area of the cover; and a speaker module mounted on a second surface area the cover. Further, the speaker module includes a speaker unit configured to output sound via a vibrating diaphragm generating sound pressure; and a speaker case including a mounting portion on which the speaker unit is mounted, and a sound pressure passage having a first end receiving the generated sound pressure from the vibrating diaphragm of the speaker unit and a second end extending to a first side of the speaker module facing the circuit board.

The invention provides a control method and a control system for building an independent acoustic space of an automobile cabin, which are applied to the technical field of sound field control of the automobile cabin, and are used for inputting a multi-channel vibration signal acquired in real time into a deep learning noise prediction model to obtain an in-automobile background noise prediction value at a future moment; the prediction noise is filtered by the secondary path estimation model and then is used as a feedforward reference signal for active noise reduction, and the prediction noise and a residual signal collected by a bright area error microphone are jointly used for weight updating of an adaptive filter; the updated filter generates a reverse-phase noise elimination signal and the reverse-phase noise elimination signal is played by a secondary loudspeaker in real time so as to counteract background noise of the bright area; and closed-loop adjustment of the noise reduction effect is formed based on the sound pressure level contrast ratio of the bright and dark areas, so that the independent acoustic space is kept stable in the time-varying environment of vehicle driving. According to the method, the low noise of the bright area and the isolated sound field of the dark area in the vehicle are realized by fusing deep learning noise prediction and active noise control, and the personalized auditory experience in the vehicle can be remarkably improved.

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, which relates to the technical field of audio experience, discloses an immersive audio experience-oriented sound sound field orientation system comprising a position sensing module, a sound field modeling module, a characteristic sound wave generation module, an array control module and a space feedback adjustment module. The position and orientation information of a target user in a three-dimensional space is obtained in real time through a non-contact sensor, a real-time acoustic propagation model containing reflection surface distribution and material characteristics is constructed, a multi-channel acoustic signal is generated based on the model, a loudspeaker array is driven to produce sound through a beam control parameter set, and the sound transmission effect is achieved. According to the invention, the spatial focusing of the sound beam in the target direction is realized, the sound production delay and phase difference of each loudspeaker unit are dynamically adjusted based on the direction deviation information of the received sound pressure, and a closed-loop control path is formed. The method is suitable for various scenes such as virtual reality, intelligent cinemas and voice interaction.

The invention discloses a method for monitoring VOC (Volatile Organic Compounds) unorganized emission by utilizing an ultrasonic imaging technology, and belongs to the technical field of environment monitoring. The method comprises the following steps: acquiring ultrasonic data of a chemical industry park production device through an ultrasonic imaging module; 20-100 kHz leakage ultrasonic signals are separated, and sound pressure is read; positioning a leakage source in combination with coordinate mapping and a digital twinborn model, and marking sound pressure with a color code; a fitting coefficient is obtained through laboratory calibration, the leakage rate is calculated, the total leakage volume is calculated according to the duration, and gas density can be combined to be converted into the total mass. The method has the advantages of wide-area coverage, real-time response, accurate positioning, small monitoring deviation and the like, solves the problems of multiple blind areas and difficulty in quantification of a traditional method, and provides data support for safety and environment management of chemical industrial parks.

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 NVH performance testing, and discloses a method and system for testing NVH performance of a gear of a new energy automobile, and the method comprises the steps: synchronously collecting a rotating speed signal, a vibration signal and a sound pressure signal based on a rotating speed scanning working condition, determining a gear meshing frequency based on the rotating speed signal, the vibration signals and the sound pressure signals are subjected to order transformation processing, the rigidity adjustment range and the damping simulation constraint are determined based on the installation position and the suspension connection relation of the gear electric drive assembly rack in the whole vehicle, rotating speed scanning is repeatedly carried out under the combined working conditions of different rigidities and damping, and the rigidity adjustment range and the damping simulation constraint are determined. And sorting the multiple groups of vehicle boundary conditions based on the engagement order variation, taking the vehicle boundary condition with the maximum engagement order variation as a target boundary condition, and determining a gear NVH test result of the vehicle running state based on the gear squeal interval. According to the invention, by determining the rigidity adjustment range and the damping simulation constraint, the test reliability is ensured.

A wearable multifunction device or earpiece or a pair of earpieces includes one or more processors, at least one microphone coupled to the one or more processors, a biometric sensor coupled to the one or more processors, and a memory coupled to the one or more processors, the memory having computer instructions causing the one or more processors to perform the operations of sensing a remaining battery life and based on the sensing, prioritizing one or more of the functions of always on recording, biometric measuring, biometric recording, sound pressure level measuring, voice activity detection, key word detection, key word analysis, personal audio assistant functions, transmission of data to a tethered phone, transmission of data to a server, transmission of data to a cloud device.

The invention relates to a speech recognition method for a tactical AR helmet, and the method comprises the steps: collecting a first audio signal through a near-field pickup disposed near the mouth and nose of a wearer, and collecting a second audio signal through an environment pickup disposed at the outer side of the helmet or away from the mouth and nose; synchronously acquiring a third signal sounding with the wearer, wherein the third signal is at least one of helmet inner side contact type micro vibration, bone conduction vibration pickup or helmet inner sound pressure change; calculating a near-field difference indicator based on the first audio signal and the second audio signal, the near-field difference indicator comprising at least one of an energy difference or an energy ratio; determining sound production starting and ending moments from the first audio signal and the third signal, and calculating a time sequence synchronization index; and when the near-field difference index satisfies a preset near-field condition and the time sequence synchronization index satisfies a preset synchronization condition, determining that the voice is sent by the helmet wearer and a corresponding voice segment is output for subsequent identification, otherwise, shielding the voice segment.

The invention belongs to the technical field of automatic control, and particularly relates to a large-span ellipsoidal glass structure space noise reduction method based on sound field optimization, and the method comprises the steps: 1, transmitting a sample noise in an ellipsoidal glass structure through a sound wave generator, building a sound wave propagation model to describe the behavior of the sample noise in the ellipsoidal structure, an incident sound field is obtained; 2, analyzing the propagation characteristics of the sample noise in the ellipsoidal glass structure to obtain an acoustic structure coupling equation, and solving the acoustic structure coupling equation to obtain structural vibration displacement; 3, obtaining a sound radiation field of the ellipsoidal glass structure according to the structural vibration displacement; and step 4, combining the incident sound field and the sound radiation field, and performing spatial noise reduction by reflecting the sound pressure of the sound field. According to the method, the problems of poor adaptability and low control precision of a traditional noise reduction method in a non-uniform structure are effectively solved, and the noise reduction efficiency, the control sensitivity and the environment adaptability of a building space are remarkably improved.

The invention discloses an X-ray thermoacoustic image reconstruction method based on self-supervised multi-view fusion, and relates to the technical field of medical imaging and radiotherapy dose monitoring. The method comprises the following steps: firstly, acquiring initial sound pressure distribution after radiotherapy simulation by utilizing a tissue HU value and related physical attributes, and simulating X-ray induced ultrasonic signals under different sampling conditions under a K-Wave platform so as to construct a diversified training data set, further, providing a multi-view fusion and artifact decoupling network model MFDRNet based on self-supervision, according to the model, sparse acoustic signals and image feature information can be extracted and fused at the same time, reconstructed global and local detail expressions are enhanced through a multi-scale attention mechanism, and separation of a real structure and artifact components is achieved by means of an artifact decoupling structure; in the training process, a self-supervision loss mechanism is adopted, and stable training can still be completed under the condition of lack of high-quality full-sampling labels.

The invention discloses a multi-sensor fusion power transmission and transformation equipment intelligent inspection method and system, and relates to the technical field of power intelligent inspection, and the method comprises the steps: collecting electromagnetic radiation, temperature field and sound wave signals of partial discharge through electromagnetic, infrared and ultrasonic sensors, and respectively extracting an amplitude envelope, a temperature rise rate and a sound pressure attenuation coefficient; synchronizing the multi-modal data by using a space-time alignment network, adjusting the weight of each modal data through the dynamic impedance matching degree, and generating an updated fusion feature vector; and performing anomaly identification according to the updated feature vector, and outputting a partial discharge identification result. The technical problems that existing power transmission and transformation equipment partial discharge detection depends on a single sensor and is insufficient in detection accuracy, prone to being interfered by the environment and inaccurate in fault positioning are solved, the accuracy and the anti-interference capacity of partial discharge detection are improved through multi-sensor fusion and dynamic impedance matching degree adjustment, and the reliability and the reliability of partial discharge detection are improved. And the technical effect of accurate fault positioning is realized.

The application discloses a low-intensity focused ultrasound transducer positioning regulation method, device and equipment, belongs to the technical field of transcranial focused ultrasound nerve regulation, and comprises the following steps: acquiring a head CT image of a PACS system; setting a skull layer HU threshold value and performing segmentation and extraction, reconstructing a three-dimensional skull contour model based on the segmentation and extraction result; screening transducer center point arrays outside the three-dimensional skull contour model; performing simulation selection of ultrasonic sound pressure and transducer positioning; performing focused ultrasound stimulation based on the transducer positioning result, checking the effects of the ultrasonic sound field and the spatial sound field of the positioned transducer point in the target area; and constructing a thermal effect temperature field under the focused ultrasound stimulation based on the sound field analysis of the corresponding target area, and verifying the safety of the positioned transducer. The application can calculate an optimal ultrasonic action path according to multiple ultrasonic frequencies, intensities, duty cycles and pulse repetition intervals required, and meets the needs of clinical use.

The invention provides an automatic power generation dispatching control method and device of a thermal power generating unit, and relates to the technical field of intelligent power grids, and the method comprises the steps: collecting multi-source observation data of an electric side and a hearth combustion side, and extracting a hearth negative pressure fluctuation amplitude, a flame centroid jitter amplitude and a sound pressure fluctuation amplitude to construct a sound-combustion coupling stability index; establishing a coal consumption cost function and an emission cost function in combination with historical unit operation data; dividing an acoustic-fuel coupling stability domain according to an acoustic-fuel coupling stability index, monitoring a rising trend, and taking an acoustic-fuel coupling risk as a scheduling constraint triggering condition; a scheduling optimization model is reconstructed in a risk dominant scene, active power output, a coal mill combination and air distribution parameters are used as decision variables, an optimal track is solved with physical limits, power grid side constraints and a stability domain as limiting conditions, and finally the optimal track is issued to a coordination control layer. According to the method, the output curve can be actively deviated in the acoustic-fuel coupling instability risk rising stage to avoid acoustic resonance, and therefore the dynamic dispatching capacity of the unit is guaranteed.

Provided is a speaker, including: a diaphragm structure including first and second diaphragms, the first diaphragm is configured to push air to vibrate to generate initial sound wave, and a signal of which is modulated based on a signal within an audible sound frequency band; and a cover plate structure enclosing with the diaphragm structure to form sound-generating cavity, the cover plate structure has a sound outlet hole connecting the sound-generating cavity with outside, the initial sound wave in the sound-generating cavity is transmitted to the outside through the at least one sound outlet hole to form a sound signal, the second diaphragm and the cover plate structure generate an acoustic environmental impedance used to modulate the initial sound wave to change sound pressure of the sound signal. The speaker can modulate and output a sound signal covering the audible sound frequency band based on the acoustic environmental impedance.

Embodiments of the present application disclose a river bed load transport characteristic determination method and device, electronic equipment and a computer readable medium, relating to the field of engineering technology. The method performs fast Fourier transform on the sound pressure signals of the microphone array to obtain a sound pressure matrix in the frequency domain; based on the sound pressure matrix, cross-spectrum operation is performed to obtain a cross-spectrum matrix; based on each scanning grid point j on the surface of the monitoring sensor plate as an imaginary sound source point, a sound propagation model is selected according to the aerodynamics theory to determine the sound signal monitored by any microphone; each grid point is scanned, the auto-spectrum of the simulated sound signal is calculated, and the sound source holographic image of the bed load shock wave is determined; the sound source intensity is simulated, the bed load spatial position is obtained, and the bed load particle size component information is obtained through the calibration function relationship. That is, in the present application, the bed load spatial position and the bed load particle size component information are obtained, this method can accurately determine the transport characteristics of the bed load, and becomes an important support for quantifying the disaster prevention and reduction work of mountainous rivers.

The application relates to the technical field of railway vehicle detection, and discloses a bearing vibration detection and identification method based on an octave and a voting mechanism, which is characterized in that bearing detection of passing vehicles is completed through a bearing running-in test platform arranged on a railway site to form actual detection data; the bearing running-in test platform comprises a contact part used for directly contacting an outer ring of a measured bearing, an acceleration sensor and a microphone are arranged on the contact part; vibration acceleration data is formed through acceleration sensor detection of bearing vibration; sound pressure level data is formed through microphone detection of bearing vibration; and the vibration acceleration data and the sound pressure level data together form vibration transmission data. The application can more accurately complete bearing vibration detection and identification and can be applied to actual railway vehicle detection and identification.

The present application relates to the technical field of task scheduling processing, in particular to a task scheduling monitoring method and system based on a signal monitoring machine, comprising the following steps: capturing a mixed sound pressure signal generated by underwater base station and vehicle communication through a submerged signal monitoring machine, separating the direct wave and reflected wave components; calculating the current sound pressure channel quality score according to the frequency dispersion index of the direct wave component and the time delay dispersion degree of the reflected wave component; setting an adaptive threshold, triggering a multi-level decision response based on the deviation degree of the channel quality score and the adaptive threshold, and generating a channel degradation alarm at the same time. The present application optimizes the task resource allocation strategy while ensuring the reliability of communication, and is suitable for various complex operation scenarios such as underwater unmanned platform, emergency communication and ocean monitoring.

The utility model discloses ultrasonic cleaning equipment based on a Fresnel lens. The ultrasonic cleaning equipment comprises an ultrasonic generator; an ultrasonic transducer; the ultrasonic cleaning device comprises an ultrasonic transducer, a Fresnel lens and a cleaning container, the Fresnel lens is located between the output end of the ultrasonic transducer and the cleaning container, one end face of the Fresnel lens is tightly attached to an outer shell of the cleaning container, and the other end face of the Fresnel lens is tightly attached to the output end of the ultrasonic transducer; and the placing position of an object to be cleaned in the cleaning container is the focal point of the Fresnel lens. By means of the device, the sound pressure and the sound intensity of an accumulation area can be improved, the time of single-time cleaning is shortened, the energy utilization rate is improved, damage to samples caused by heat effect accumulation is avoided, and meanwhile damage to the surfaces of cleaned objects caused by uneven cavitation due to low power is avoided.