743 results about "Sound propagation" patented technology

The invention discloses an intelligent control method and system for tunnel loudspeakers, and relates to the technical field of tunnel audio control, environmental parameters in a tunnel are collected by adopting a mode of deploying sampling equipment in a distributed manner, and data preprocessing is performed in a targeted manner for different environmental parameters; a sound propagation model is established, and attenuation and delay of sound in different environments are simulated. According to the intelligent control method and system for the tunnel loudspeakers, various temperature and humidity sensors are arranged in the tunnel, and the absolute humidity is calculated in combination with the air pressure data, so that the sound velocity is accurately corrected, and the phase difference of the multiple loudspeakers is reduced; an adaptive Kalman filtering algorithm is adopted to process wind speed data, and reliable input is provided for a sound propagation model; a deep reinforcement learning algorithm is used to carry out collaborative optimization on parameters such as amplitudes and directional angles of multiple loudspeakers, a Bayesian network is used to detect loudspeaker faults, and Delaunay triangulation and a distributed consistency algorithm are combined to realize rapid fault reconstruction.

The invention discloses a noise monitoring point site selection method and system based on a noise map, and relates to the technical field of environmental noise monitoring, and the method comprises the steps: constructing a three-dimensional topology network based on a three-dimensional noise intensity matrix, calculating an optimal sound propagation path through employing a quantum heuristic topology optimization algorithm, and obtaining an optimal sound propagation path; the weights of nodes in the three-dimensional topology network are optimized in combination with quantum annealing, and an acoustic topology characteristic spectrum is generated; extracting multi-scale noise propagation features through a convolutional neural network according to the acoustic topological feature map, constructing a gridding space demand matrix in combination with a monitoring equipment parameter library and coverage constraint conditions, and generating an optimal noise monitoring network site selection scheme according to the gridding space demand matrix; according to the invention, a quantum heuristic topology optimization algorithm is combined with quantum annealing to optimize the node weight of the three-dimensional topology network, and intelligent optimization and dynamic adjustment of the sound propagation path are realized.

The invention belongs to the technical field of underwater positioning, and discloses an underwater single beacon semi-definite programming positioning method and system under a linear sound profile condition. According to the method, based on a semi-definite relaxation technology, a positioning problem in a semi-definite programming form is obtained, the semi-definite programming problem is solved through an interior point method, and an initial position solution of single beacon positioning is obtained; and the estimation error of the initial position solution is explicitly expressed, a linear estimation formula of the estimation error is constructed in combination with a virtual long baseline positioning equation, and the estimation error is solved based on weighted least squares, so that the initial position solution is corrected, and a more accurate AUV position estimation solution is obtained. Compared with other single beacon positioning methods which do not consider sound propagation refraction, the method of the invention can obtain a more accurate position calculation result under a linear sound profile condition, and enhances single beacon positioning, especially the practical application capability of the method in deep sea areas.

The invention discloses a polar region adaptive underwater acoustic positioning correction method based on a multi-dimensional environment coupling model, belongs to the technical field of underwater acoustic positioning, is used for polar region underwater acoustic positioning, and comprises the steps of deploying a heterogeneous sensor network, constructing an environment sensing layer and eliminating a sensor drift error. Establishing a three-dimensional sound velocity model, fusing a vortex kinetic equation, a Kriging interpolation algorithm and an adaptive Runge-Kutta method to track a sound ray trajectory; designing a time-frequency double-domain joint detection algorithm, and combining a lattice IIR filter bank to realize multipath suppression; a 9-dimensional robust UKF algorithm framework is constructed, and multi-source data fusion is realized in combination with federated filtering; and terrestrial magnetism matching and a strain energy density early warning mechanism are integrated. Compared with the prior art, the method improves the positioning accuracy and stability, can more accurately predict the sound propagation path, improves the positioning precision, achieves the dynamic real-time calculation, can quickly and accurately process the continuously changing environment data, and is suitable for the complex polar region environment.

The invention belongs to the technical field of underwater positioning, and discloses an underwater single-beacon Gaussian Newton positioning method and system under a linear sound profile condition. According to the method, underwater acoustic signal propagation time observation noise is modeled into Gaussian distribution, a maximum likelihood estimation problem is constructed, and then the maximum likelihood estimation problem is converted into a nonlinear least square estimation problem; and solving the gradient of the observed quantity to the position coordinates of the AUV based on a chain rule, iteratively solving a nonlinear least square estimation problem based on a Gauss-Newton method, and obtaining the position coordinates of the AUV after iterative convergence. Compared with other single beacon positioning methods which do not consider sound propagation refraction, the method of the invention can obtain a more accurate position calculation result under a linear sound profile condition, and enhances single beacon positioning, especially the practical application capability of the method in deep sea areas.

The invention discloses a sound compatibility test and evaluation method, device and equipment for an underwater acoustic system of an ocean platform and a storage medium, and relates to the technical field of ocean acoustics, and the sound compatibility test and evaluation method for the underwater acoustic system of the ocean platform comprises the steps: obtaining target noise data of the ocean platform; platform parameters of the ocean platform are obtained, a simulation model is constructed according to the platform parameters and the target noise data, and the simulation model comprises an environment noise model, a sound propagation model and a platform self-noise model; obtaining to-be-tested equipment parameters of the ocean platform, and obtaining target data according to the to-be-tested equipment parameters and the simulation model; and performing performance evaluation and comprehensive analysis on the ocean platform according to the target data so as to complete acoustic compatibility test and evaluation of the acoustic system. According to the invention, the accuracy of acoustic compatibility testing and evaluation of the underwater acoustic system of the ocean platform can be improved.

The invention discloses a method and a system for constructing a characteristic of influence of a solitary wave on underwater sound propagation loss in an ocean. The method comprises the following steps: acquiring acoustic environment parameters of a specified simulated ocean area to construct an ocean acoustic environment; constructing a plurality of internal solitary wave structures according to the internal solitary wave characteristic parameters; combining the marine acoustic environment and the internal solitary wave structure to construct a plurality of internal solitary environment models; setting a sound source and a receiver, and calculating a sound field by adopting a kraken model based on the internal isolated environment models and the set sound source and receiver to obtain sound propagation loss of each internal isolated environment model; and comparing and analyzing the sound propagation loss of various internal isolated environment models to obtain the influence of the internal isolated waves on the sound propagation loss characteristics. The invention aims to improve the accuracy of the characteristic data of the underwater sound propagation loss influenced by the marine internal solitary wave based on the influence of the internal solitary wave characteristic parameters on the sound propagation loss.

The invention discloses a spatial audio system, an audio processor and a virtual surround sound conversion method for stereo loudspeaker playing equipment. The method for converting spatial audio into virtual surround sound on the premise of not increasing the number of sound channels comprises the following steps: receiving initial audio stream data; performing space rendering operation, namely presetting a virtual space, and setting the orientation of a virtual ear in the virtual space; simulating sound propagation of the audio in the virtual space by using an HRTF algorithm, and simulating sound received by ears and propagated in the virtual space; analyzing the sound difference received by the left and right ears; estimating the position of the virtual sound source in the virtual space according to the sound difference received by the left and right ears; after spatial rendering is completed, the audio is recoded into a virtual surround sound audio containing spatial position information. By simulating the sound field and the environmental response, the user can feel the positioning and environmental feeling of the audio source in the virtual space, and the immersion and reality of the audio experience are enhanced.

The invention belongs to the technical field of underwater sound information processing, and relates to a position configuration method of an array calibration sound source of a seabed sound array in a deep sea environment, which comprises the following steps of: constructing a time delay observed quantity model between a calibration sound source and an array element based on a ray sound propagation theory; deriving a relation between an unbiased estimation error lower bound of an array element position and a calibration sound source position, constructing an array calibration performance constraint condition and a calibration source number sparse constraint condition to realize automatic selection of a calibration sound source number, and adopting a positive semidefinite programming technology to solve an optimization configuration problem; compared with a traditional calibration sound source position configuration method, the method adopts the ray acoustic propagation model to model and calibrate the time delay observed quantity between the sound source and the array element, is more in line with the characteristics of the marine environment, and can realize effective compensation of the sound propagation effect.

The invention provides an underwater plosive sound analysis method and device, and relates to the technical field of underwater noise analysis, and the method comprises the steps: obtaining a plurality of sound wave signals received by a monitoring point; respectively analyzing the actual propagation time and the actual signal intensity of each sound wave signal; based on a preset sound velocity profile model, calculating sound wave propagation velocities of different depths of a preset water area; performing prediction path analysis based on the sound wave propagation speed to obtain a plurality of prediction paths; according to the actual propagation time and the actual signal intensity, performing propagation time matching and signal intensity matching on the plurality of prediction paths, and determining a target prediction path; based on the target prediction path, performing blasting source position calculation to obtain a predicted blasting source position; and if it is judged that the predicted blasting source position is consistent with the preset blasting source position, determining that the target predicted path is a blasting sound propagation path. According to the method, the propagation path of the underwater plosive sound can be analyzed.

The invention relates to an ocean internal temperature inversion method fusing PIES and sea surface multi-source parameters, and belongs to the technical field of ocean environment parameter inversion and ocean dynamics observation. Comprising the following steps: constructing a nonlinear empirical model (Multi-RF) of seawater temperature inversion by using a random forest algorithm and fusing data such as a historical observation temperature-salinity profile observed by a temperature-salinity-depth meter (CTD) and sea surface multi-source parameters; and inverting the seawater temperature through a Multi-RF model by using the sound propagation time and multi-source sea surface data calculated by the PIES. Compared with a traditional empirical mode mapping (GEM) model, the Mull-RF model provided by the invention has the advantages that on one hand, the Mull-RF model utilizes fewer samples to establish a mapping relation between the seawater temperature and multiple parameters, and the problem of sample shortage in construction of a seawater temperature inversion model fusing sea surface multiple parameters and PIES observation sound propagation time is solved; on the other hand, compared with polynomial fitting in a GEM model, the random forest adopted by the Multi-RF model can achieve nonlinear fitting from multiple parameters to the seawater temperature, and therefore the temperature inversion precision is remarkably improved.

The sound acquisition device comprises a sound acquisition element and further comprises a shell, a sound transmission channel is defined on the shell, the sound transmission channel comprises a first channel section and a second channel section, the first channel section and the second channel section are sequentially connected, and an included angle is formed between the first channel section and the second channel section. The sound collecting element is located in the first channel section, the second channel section is provided with a second sound inlet for external sound to enter, and the shell is further provided with a section of extending wall extending in the opening direction of the second sound inlet at the second sound inlet. The sound acquisition device has the advantages that the position of pressure fluctuation caused by airflow change can be far away from the position of the sound acquisition element due to the arrangement of the extension wall on the shell, so that airflow pressure fluctuation at the acquisition position of the sound acquisition element is effectively reduced, and the sound acquisition accuracy is improved.

The invention belongs to the field of polar acoustic measurement, and relates to a method for estimating the sound velocity and thickness of an ice layer by using airwaves and ice layer bending waves, which comprises the following steps of: acquiring broadband pulse sound signals by using a sensor fixed on an ice surface; recording the distance between the detonating device and the ice surface sensor; performing time-frequency analysis on the broadband pulse signal acquired by the ice surface sensor; obtaining a time-frequency spectrum of the signal through time-frequency analysis, calculating the propagation velocity of the airwave, converting the time-frequency spectrum into a group velocity spectrum, and extracting a group velocity dispersion curve of the bending wave; initializing the longitudinal wave velocity, the transverse wave velocity, the ice layer thickness and the seawater sound velocity of the ice layer; calculating an expected group velocity curve according to the sound propagation model, and constructing a cost function; and optimizing the cost function by adopting a particle swarm algorithm, and outputting a final parameter estimation value. The method can be realized only by using a single sensor, and the synchronization of transmitting equipment and receiving equipment is not required; the sound velocity and thickness of the ice layer can be inverted by using the relationship between the group velocity and the acoustic parameters.

The invention relates to the technical field of underwater acoustic engineering and ocean exploration, in particular to a multi-channel underwater acoustic signal transmitting and measuring system and a signal processing method, which are used for solving the problems that the existing multi-channel underwater acoustic signal processing generally depends on fixed threshold detection or simple time sequence alignment, and the signal processing efficiency is low. The problem that residual vibration, local noise abrupt change or multipath reverberation is easily misjudged as an effective first arrival signal in a complex underwater environment due to the fact that the influence of the physical response characteristic of a transducer on emission time calibration is not considered and effective verification on whether a candidate arrival structure accords with a sound wave propagation physical rule is lacked is solved. According to the invention, a multi-channel energy time sequence and hydrophone space geometrical relationship is fused through an underwater sound propagation initial physical judgment module, a judgment mechanism is constructed based on distance-time consistency of sound propagation, and self-consistent verification is realized by combining a cross-channel arrival sequence and sound velocity constraint. And the accuracy, the robustness and the physical interpretability of the judgment of the effective launching time of the underwater sound are obviously improved.

An (encoding) apparatus comprises a metadata generator (203) generating metadata for audio data for a plurality of audio elements representing audio sources in an environment. The metadata comprises acoustic environment data for the environment where the acoustic environment data describes properties affecting sound propagation for the audio sources in the environment. At least some of the acoustic environment data is applicable to a plurality of listening poses in the environment and the properties include both static and dynamic properties. A bitstream generator (205) generates the bitstream to include the metadata and often also audio data representing the audio elements for the audio sources in the environment. A decoding apparatus may comprise a receiver for receiving the bitstream and a renderer for rendering audio for the audio environment based on the acoustic environment data and on audio data for the audio elements.

The invention provides a voice activity detection method and a headset, and relates to the field of noise reduction. The voice activity detection method comprises the steps that multiple microphone voice signals corresponding to the same frame of voice are acquired, one frame of the multiple microphone voice signals comprises a forward voice signal and a backward voice signal corresponding to the same frame of voice, the forward voice signal is a voice signal in a preset user voice transmission direction, and the backward voice signal is a voice signal in a preset user voice transmission direction; the backward voice signal is a voice signal in a direction opposite to a preset user voice transmission direction; calculating the correlation of the forward voice signal and the backward voice signal and a first energy ratio; and determining the type of the multi-path microphone voice signal based on the correlation and the first energy ratio, wherein the type of the multi-path microphone voice signal is a voice frame or a noise frame. The method can effectively improve the detection accuracy of voice activity detection.

The invention provides a deep sea convergence area characteristic forecasting method and system based on a normal wave theory. The method comprises the following steps: determining a normal wave eigenvalue equation; solving a normal wave eigenequation, and calculating a normal wave eigenvalue of each order from the first order to a set normal wave order upper limit; calculating a normal wave eigenfunction value according to the sound source and the receiving depth; superposing and synthesizing a sound field by using the normal wave eigenvalue and the normal wave eigenfunction value; and calculating the sound propagation loss of the convergence area by using the synthesized sound field so as to obtain the energy and position of the deep sea convergence area. Compared with the prior art, the method has the advantages that the analytical solution form of the normal wave eigenequation is obtained in advance, compared with pure numerical calculation, certain calculation time can be saved, in addition, some function expansion and frequency interpolation technologies can be conveniently combined, a basis is provided for broadband sound propagation and signal waveform forecasting of the deep sea convergence area, and the method has a wide application prospect. The sound field calculation speed of the convergence area is greatly improved, and the method has good calculation precision.

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 relates to the technical field of voice processing, in particular to a sound source direction-finding positioning method and system for a complex environment, and the method comprises the steps: serializing the sound intensity of each microphone, and calculating a maximum receiving interval according to the distance between adjacent microphones, the sound transmission speed and the sampling frequency; the method comprises the following steps: determining a short-time audio similarity through moving a sound source signal sequence, extracting a sound source synchronization sequence and a sound source same-frequency sequence, and further evaluating a tone quality deviation degree; optionally selecting a reference microphone, and comparing the reference microphone with a sound source synchronization sequence of other microphones to obtain a time delay data length and a sound source similar sequence; based on the arrangement values of the same position elements of the sound source similar sequence, a sound intensity distribution sequence is obtained, and the sound intensity interference degree of each microphone is obtained; and determining a fixed beam direction and calculating the distance between the reference microphone and the sound source. The invention aims to improve the accuracy of sound source positioning.

The invention discloses a low-frequency sound propagation loss forecasting method suitable for a polar region sea area, and the method comprises the steps: building a two-dimensional ice layer model of a forecast sea area according to remote sensing data based on the setting that sea ice of the polar region sea area is a uniform elastic medium; calculating hydrological conditions of the ocean sound channel of the polar sea area; establishing a forecast sea area two-dimensional seabed model according to the seabed topography sediment database; an under-ice sound field model is constructed based on a three-dimensional cylindrical coordinate system, sound pressure from unit intensity sound sources with different sizes and depths to a receiving point in a forecast sea area is calculated through a frequency domain finite element method in combination with a PML technology, and sound propagation loss of a needed position is obtained through calculation. According to the method, the application limitation of traditional ray and normal wave theories under complex boundary conditions is broken through through a finite element method, a synergistic effect mechanism of actual ice layer parameter space change, submarine topography fluctuation and sound velocity profile gradient characteristics is systematically analyzed, and sound field modeling is more accurately carried out on different ice layers and submarine topographies in the Chukong sea region all year round; the influence of sound wave propagation is simulated.

The invention relates to an unmanned underwater vehicle concealment evaluation system and method, and belongs to the technical field of data processing, and the method comprises the steps: obtaining hydrological data through a sensor carried by an unmanned underwater vehicle, obtaining time domain data through a sonar detection underwater acoustic signal, and calculating the time domain data through a time frequency analysis algorithm to obtain two-dimensional time frequency data; inputting the two-dimensional time-frequency data into a convolutional neural network model to identify the type of the target equipment; when the type of the target equipment is identified as a dynamic non-cooperative target, the position of the unmanned underwater vehicle is obtained, broadband sound propagation loss is calculated in parallel through a sound propagation model according to hydrological data, the hiding degree of the unmanned underwater vehicle is calculated, and the hiding performance of the unmanned underwater vehicle is evaluated through the hiding degree; according to the method, the dynamic non-cooperative target in the navigation sea area can be quickly identified, the broadband sound propagation loss can be quickly calculated, and the environment concealment evaluation grade can be finally obtained, so that the method has the capability of quickly and autonomously evaluating the concealment of the environment.

An active noise reduction system includes a canceling sound output device configured to output a canceling sound for canceling a noise, an error microphone configured to generate an error signal based on the noise and the canceling sound, and a controller configured to control the canceling sound output device based on the error signal, wherein the controller is configured to calculate a canceling sound propagation distance that is a distance from the canceling sound output device to the error microphone, and suppress a change in the canceling sound based on the canceling sound propagation distance.

The invention relates to the technical field of pipe network acoustic detection, in particular to a water supply pipe network leakage noise detection method and system and a medium. The method comprises the following steps: constructing a physical model of leakage noise based on fluid mechanics and a sound propagation rule; generating simulated leakage noise data based on physical model parameterization so as to simulate leakage noise data under extreme physical conditions; a set of the actually measured leakage noise data and the simulated leakage noise data is used as leakage noise sample data, and time domain statistical characteristics and frequency domain statistical characteristics of the signals are obtained through quantification according to the leakage noise sample data; based on the statistical characteristics, dynamically adjusting window function parameters and performing short-time Fourier transform processing to obtain a resolution-optimized time-frequency image; and constructing a CNN classification model, training the model based on the resolution-optimized time-frequency image, and outputting prediction probabilities of leakage noise and environmental noise. While the water supply pipe network leakage noise detection precision is improved, hardware dependence is eliminated, and efficient pure acoustic end-to-end pipe network leakage detection is realized.

The invention provides a communication method for realizing a private call, which comprises the following steps that: a wireless silencer preprocesses acquired voice to improve the voice quality; establishing communication connection between the earphone and the wireless silencer; the earphone receives the voice data sent by the wireless silencer; the microphone of the earphone is turned off, and the earphone is switched to an audio output mode; the wireless silencer is worn at the mouth of a speaker so as to collect voice sent by the speaker, and first audio information obtained by converting the voice is sent to the earphone; the earphone transmits the first audio information to a call device; the earphone receives the second audio information from the call device, converts the second audio information into sound and transmits the sound to human ears; in the conversation process, the wireless silencer shields the voice sent by the speaker so as to prevent the voice from being spread to the surrounding environment, and private conversation is achieved.

The utility model discloses an oblique radiation ultrasonic beriberi symptom treatment device which comprises a container containing cavitation liquid, at least one group of ultrasonic transducers are installed outside the container in an oblique upward sound wave irradiation mode, and feet placed in the container are cleaned and nursed by utilizing the cavitation effect of ultrasonic waves in water. According to the beriberi symptom treatment device with the oblique radiation ultrasonic waves, the ultrasonic transducer assemblies are installed in an oblique upward sound wave irradiation mode, the sound wave superposition principle and the change of the sound propagation direction are utilized, a standing wave non-uniform sound field is avoided, the cavitation effect of the sound field is further enhanced in different areas, and therefore cleaning, sterilization and massage strengthening on the feet are achieved.

The invention discloses a transducer installation position calibration method based on observation track optimization analysis, and relates to the technical field of marine survey, and the method comprises the following steps: constructing a joint estimation model of the installation position of a shipborne transducer and the position of a seabed transponder, and directly using the sound propagation time measurement between the seabed and the sea surface as an observed quantity; dimension expansion estimation is carried out on the installation position of the shipborne transducer; calculating an installation position error parameter by using a ray acoustic propagation model in combination with coordinate conversion calculation; according to the method, track optimization key influence factors are analyzed, a square track design of a bidirectional course angle is put forward, finally, shipborne transducer installation position error compensation and seabed transponder positioning result output are achieved, through the method, the shipborne transducer installation position error can be compensated, and the seabed transponder positioning precision can be improved.

The invention discloses an underwater vehicle positioning method based on a motion compensation model and sound velocity error estimation, which relates to the technical field of ocean measurement and comprises the following steps: deducing a layered approximate calculation formula of sound ray propagation time and horizontal distance quantity on the basis of a ray acoustic propagation model; constructing a motion compensation model of the submersible vehicle, fitting motion state coordinates of the submersible vehicle by using a primary function about time, and performing linearization calculation of sound propagation time about a to-be-estimated coefficient in a ray acoustic propagation model; establishing a sound velocity error estimation model, enabling the sound velocity error to be equivalent to sound velocity deviation in each positioning period, and carrying out the linearization calculation of the sound propagation time with respect to the sound velocity deviation under a ray acoustic propagation model. According to the invention, the method can not only avoid solving the position coordinates of the transmitting and receiving signals of the transponders to compensate the motion model error of the submersible vehicle, but also can compensate the sound velocity error to improve the positioning precision of the submersible vehicle.

The invention discloses a broadband underwater acoustic channel modeling method based on a normal wave equation collaborative neural network, and the method comprises the steps: building a basic differential equation of underwater sound propagation, and constructing a modal equation based on a normal wave method; taking the modal equation of the normal wave as a physical constraint, taking the modal equation as a regularization item, integrating the modal equation into a loss function of a neural network, and constructing a normal wave equation collaborative neural network; under a shallow sea waveguide condition, selecting a limited number of frequency points in a target frequency band for sparse sampling, and generating a corresponding underwater sound field data set as training data through numerical simulation; inputting the sound field data corresponding to the sparse frequency points into a normal wave equation collaborative neural network, selecting residual points and boundary points in a spatial domain, and performing model training by using physical constraints to obtain a stable normal wave equation collaborative neural network model; and performing sound field prediction on other frequency points which do not participate in training in the target frequency band by using the trained model. According to the method, the speed of broadband modeling of the underwater sound field can be greatly improved.

The present disclosure provides a voice suppression mask apparatus which covers only the mouth of a wearer, forming a seal about the mouth to form a voice cavity and preventing the transmission of sounds between the voice cavity and the external environment of the wearer via a vacuum-sealed chamber. The mask apparatus further comprises an inlet passage with a port for a microphone tip, facilitating voice calls in privacy even in crowded environments, and preventing noisy environments from affecting the quality of audio captured by a wearer's microphone. The walls of the sealed chamber may also be transparent to facilitate video calls.

The invention relates to a surface discharge stage judgment device and method based on ultrasonic propagation, and the method comprises the steps: simulating a surface discharge phenomenon with an insulation fault, and generating various characteristic parameter changes of an insulation fault surface discharge electric signal; various characteristic parameter change signals of the sound signals caused by insulation fault surface discharge electric signal changes are obtained in real time, the influence of a sound propagation path on the sound signals is combined, the various characteristic parameter change signals are converted into computable data, and characteristic data are extracted; and the creeping discharge stage judgment module judges the creeping discharge stage of the insulation fault in combination with the detection data obtained by the ultrasonic propagation detection module and the oscilloscope. Compared with the prior art, the method has the advantages that the ultrasonic propagation influence is considered, and accurate and reliable judgment of the creeping discharge stage is realized based on various characteristic parameter changes of the acoustic signal caused by various characteristic parameter changes of the creeping discharge signal.