204 results about "Acoustic response" patented technology

The invention discloses a pile foundation integrity detection method which comprises the following steps: applying a variable amplitude sound wave excitation sequence to a pile foundation structure, collecting acoustic response signals under different excitation amplitudes, and obtaining nonlinear dynamic response data reflecting material rheological characteristics; performing frequency dispersion analysis and hysteretic characteristic analysis on the nonlinear dynamic response data, extracting a stress memory dissipation coefficient and a nonlinear memory capacity index, and establishing a time-varying characteristic curve; according to an abnormal change interval and a memory capacity fading rate of the time-varying characteristic curve, determining a defect position and a defect type, and obtaining an evolution state parameter of the defect; and based on the historical change trend of the evolution state parameters, the material degradation rate and the structure damage development rate are calculated, the health state index of the pile foundation structure is predicted, and a full life cycle performance evolution curve is formed. Through stress memory activation and nonlinear dynamic response analysis, the detection method considering the rheological property of the material is established, and the performance evolution rule of the pile foundation in the whole life cycle can be accurately evaluated.

The invention discloses a disk array fault early warning method and related equipment, and relates to the technical field of computer storage, and the method comprises the steps: responding to a preset period triggering condition, and applying a preset mechanical excitation signal to a target disk array; collecting a vibration response frequency spectrum and an acoustic response waveform of the target disk array under the action of the mechanical excitation signal; performing fusion analysis on the vibration response frequency spectrum and the acoustic response waveform through a preset feature fusion model to obtain a fault probability prediction vector; and determining a real-time fault early warning instruction for the target disk array according to the fault probability prediction vector and a preset health reference vector. Through periodic mechanical excitation and multi-mode signal fusion analysis, high-precision, non-intrusive and real-time fault early warning of the disk array can be realized, the reliability of the disk array is improved, and the operation and maintenance cost is reduced.

The invention relates to the technical field of nondestructive testing, and discloses a crack detection device and method for precise automobile parts. The method comprises the following steps: carrying out ultrasonic multi-dimensional pre-scanning and acoustic impedance abnormal region identification on a to-be-detected automobile part, carrying out influence range calculation and sensitive threshold classification based on abnormal region distribution data, and obtaining stress-acoustic response time sequence data through partition grabbing force distribution and stress loading; three-dimensional stress field reconstruction and stress concentration area identification are realized; performing dual-frequency stress modulation excitation and multi-physics field synchronous detection on the stress concentration area to obtain a multi-physics field response signal, performing multi-parameter fusion calculation and multi-scale wavelet decomposition of acoustic components on the multi-physics field response signal, and performing feature dimension splicing to obtain crack feature classification data; and calculating and generating a crack detection result based on feature similarity matching and extension prediction. The precision and reliability of crack detection of the automobile parts are remarkably improved, and the damage risk in the detection process is avoided.

The invention discloses an earth and rockfill dam material seepage deformation inspection system and method, and relates to the technical field of earth and rockfill dam engineering.The method comprises the steps that a sample of an earth and rockfill dam material is prepared and arranged in a test cavity of a permeameter; maintaining a steady-state seepage field in the sample; in the maintaining process of the steady-state seepage field, acoustic response signals and thermal response signals excited in the sample due to the seepage effect are synchronously collected through a distributed sensing system arranged around the sample; analyzing the acquired acoustic response signal and thermal response signal, and identifying and positioning an acoustic abnormal area with abnormal sound energy release and a thermal abnormal area with abnormal thermal change; and after the early warning signal is generated, the spatial and temporal distribution characteristics of the acoustic abnormal region and the thermal abnormal region are used as input, a parameter distribution field representing the damage evolution of the microstructure in the sample is calculated through a coupled physical inversion algorithm, and the permeability stability of the sample is evaluated based on the parameter distribution field.

The invention relates to the technical field of defect diagnosis, in particular to a production defect diagnosis method and system for a quartz crystal resonator. The method comprises the following steps: extracting a micro-acoustic response signal of each processing stage based on an ultrasonic excitation and response monitoring device, and carrying out acoustic time-frequency structure analysis and response track trend analysis and extraction to obtain a multi-stage crystal voiceprint behavior track sequence; deploying a multi-angle structured light interferometer array to carry out acoustic monitoring and synchronous visual acquisition, carrying out light stripe form response deviation calculation, and extracting a light stripe form response deviation section; and sound-light behavior frequency response analysis is carried out on the multi-stage crystal voiceprint behavior track sequence and the light texture form response deviation section, acousto-optic mismatch index fitting is carried out, and an acousto-optic fusion feature deviation database is constructed. Through accurate and efficient defect diagnosis and positioning, the production yield of the quartz crystal resonator is improved, and waste and energy consumption of a production line are reduced.

The invention relates to the technical field of metal material heat treatment quality detection, in particular to a metal material rapid annealing effect detection method based on acoustic response, which comprises the following steps: step 1, acoustic excitation and synchronous acquisition; step 2, multi-physics field coupling compensation: calculating the phase compensation amount of the vibration signal based on the temperature distribution data and the acoustic characteristic temperature dependence of the material; the method comprises the following steps: acquiring an environment vibration frequency spectrum through a production line mechanical vibration monitoring device, and separating an excitation response component from an original vibration signal by adopting adaptive filtering; 3, annealing sensitive feature extraction; 4, dynamic quality mapping and control: inputting the real-time feature vector into a pre-trained machine learning model, and outputting a recrystallization proportion and a grain size; and when the output parameter exceeds the process threshold value, the control parameter adjustment of the annealing furnace is triggered. Through a non-destructive and accurate acoustic monitoring technology, the annealing effect of the metal material can be efficiently and accurately monitored in a high-speed, high-noise and strong-interference industrial environment.

The invention provides an industrial circuit board intelligent repairing method and system based on a lossless damping chip, and the method comprises the steps: obtaining multi-dimensional acoustic response data in an industrial circuit board, carrying out the spatial analysis of a phase offset in the data, and generating a three-dimensional geometric boundary coordinate set of a microcrack region; activating a resonant wave stabilization processing mode of the lossless damping chip, and generating a mechanical resonant frequency and a dynamic constraint force field for inhibiting crack propagation; generating a target filling scheme according to the stress distribution state of the dynamic constraint force field; constructing a conductive filling path topological structure, and generating a continuous conductive interface; according to the resonance response characteristic between the continuous conductive interface and the mechanical resonance frequency, a micron-sized crack repairing scheme is generated, and intelligent repairing of the industrial circuit board is carried out. The method breaks through the problem of fuzzy positioning of the crack spatial form in the traditional detection technology; the accurate permeation of the filling material along the crack is ensured; verification and closed loop feedback of the repairing effect are achieved, and the stability and reliability of the repaired industrial circuit board are remarkably improved.

Broad frequency acoustic imaging techniques for inspection and analysis of mechanical equipment are disclosed. In some instances an acoustic imaging device may obtain acoustic response data regarding acoustic signals emitted by mechanical equipment across a plurality of frequencies. The frequencies may be selected based on a characteristic of the mechanical equipment, or may be broadly selected across an acoustic frequency range. The acoustic signals may be compared to baseline acoustic signals emitted by mechanical equipment, and analyzed to determine at least one of a severity of degradation or a type of degradation.

The invention discloses a Mini LED package test method and test equipment. The method comprises the following steps: performing light irradiation on Mini LED package by using a reverse light path tracking technology to obtain an interference pattern and determine a function sensitive area; injecting a quantum dot fluorescent marker into the functional sensitive area to carry out multispectral dynamic monitoring; performing surface plasma resonance spectrum scanning on the functional sensitive area to obtain surface plasma resonance response data; performing an acoustic stimulation test on the functional sensitive area according to the obtained data to obtain acoustic response data; and performing a compensation test by using the nonlinear optical material layer to obtain performance attenuation prediction data. According to the technical scheme, accurate detection and performance prediction of the miniature optical structure in Mini LED packaging are achieved, and potential early failure symptoms can be effectively recognized.

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 sweeping robot cleaning control system with a self-adaptive mode adjustment function, and relates to the technical field of intelligent cleaning robot control systems, and the system comprises a multi-mode sensing module, a central processing module and a cleaning execution module. The multi-modal sensing module collects multi-dimensional data such as a hyperspectral image, acoustic response and gas concentration of ground stains, and the central processing module extracts features through the data fusion unit and deeply fuses the features to generate analysis results of stain types, adhesion strength and chemical components. The decision control unit dynamically generates a cleaning instruction in combination with a preset strategy and the real-time state of the robot, the cleaning execution module executes a targeted cleaning action, and meanwhile, the system constructs a dynamic stain atlas to achieve historical data reuse and prospective adjustment, so that the cleaning efficiency and the resource utilization efficiency are remarkably improved, and the cleaning effect is improved. The method is suitable for intelligent cleaning scenes of home and office environments.

The invention belongs to the technical field of rolling bearing manufacturing, and discloses a preparation method of a high-precision robot turntable bearing, which comprises the following steps: applying a static load simulating a preset working load to a bearing ring workpiece subjected to heat treatment, and executing a set of closed-loop acoustic vibration treatment on the workpiece in a state of keeping the static load, the processing can dynamically track the resonant frequency of the workpiece to update excitation, can monitor acoustic response characteristic parameters of the workpiece in real time, and automatically terminates when the time change rate of the parameters meets a stable condition. According to the method, the specific directivity is provided for the stress release process driven by acoustic vibration energy, so that an original disordered residual stress field in a workpiece forms an optimized form capable of actively adapting to future working loads, and the problem that the static geometric precision and the dynamic service precision of a bearing are inconsistent in a traditional process is solved.

The invention discloses a fruit and vegetable extract extraction method combined with ultrasonic enhancement, and particularly relates to the field of fruit and vegetable extract extraction.The fruit and vegetable extract extraction method comprises the steps that a composite micelle structure formed by saccharides and functional factors in fruit and vegetable raw materials is recognized as a structure obstacle before extraction, and a directional unbinding path is constructed according to the binding configuration and structural responsiveness of the structure obstacle; to generate a group of ultrasonically extracted target components; and constructing an ultrasonic cooperative transmission path with continuous penetrability and cavitation energy focusing capability by taking the sound response condition and the foam interference characteristic of the liquid phase environment in which the target component group is located as dynamic parameters. By constructing a multi-dimensional synergistic extraction process of a sugar-phenol deconstruction path, a cavitation energy penetration path and a migration enrichment feedback path, the problems of low functional component release efficiency and difficult purity control caused by superposition of a wrapping effect and an acoustic resistance barrier in a high-sugar system are solved.

The invention discloses an acoustic response light-emitting composite nanomaterial as well as a preparation method and application thereof, and belongs to the technical field of light-emitting composite nanomaterials. The acoustic response luminescent composite nano material provided by the invention comprises hollow mesoporous silica nano particles and europium-doped barium titanate nano particles loaded on the surfaces of the hollow mesoporous silica nano particles and in mesopores; the chemical formula of the europium-doped barium titanate nanoparticles is BaTiO3: Eu < 3 + >; the mass ratio of the hollow mesoporous silica nanoparticles to the europium-doped barium titanate nanoparticles is 1: (0.8-1.5). The sound response luminescent composite nano material provided by the invention can realize detection of sound intensity, and has good temperature stability, and meanwhile, the preparation method is simple and low in cost.

The invention relates to the technical field of automatic control of drilling parameters, in particular to a coal bed gas underground drilling construction parameter optimization method and system.The method comprises the following steps that sound wave response signals are obtained, propagation characteristics are calculated, bit pressure data are aligned, abnormal fluctuation is recognized, pumping pressure information is extracted, and the change trend is analyzed; and comparing the consistency of the regulation and control points and organizing regulation and control actions to finally form a coal-bed gas well drilling parameter optimization control flow. According to the method, accurate calibration of an abnormal state is achieved by constructing a sound wave propagation delay sequence and synchronizing bit pressure response, key regulation and control fragments are recognized in combination with a pumping pressure change trend, a time sequence coupling relation between bit pressure and pumping pressure is established, regulation and control action combinations meeting response consistency are extracted, and sequential organization is conducted; a control instruction set with continuity and pertinence is formed, collaborative recognition and linkage regulation and control of multi-parameter change trends are achieved, and stability and response coordination in the construction process are improved.

The invention relates to the technical field of intelligent sound boxes, in particular to a Bluetooth sound box networking system and networking method based on the Internet of Things. The method comprises the following steps: acquiring spatial position distribution data of sound box equipment; according to the sound box equipment space position distribution data, each equipment is controlled to successively emit acoustic detection signals with a preset frequency, and room acoustic propagation characteristics are evaluated based on signal response intensity; comparing and analyzing the signal response intensities of different frequencies by using room acoustic propagation characteristics, and identifying room characteristic frequency distribution data; according to the room characteristic frequency distribution data, acoustic response amplitude differences of the loudspeaker box devices under different characteristic frequencies are detected. According to the method, a main path and standby path configuration strategy is introduced in the networking process, screening is carried out according to the equipment weight stability and hierarchical compliance, and the influence caused by faults such as link breakage and channel interference can be effectively reduced.

Cookware identification includes exciting a cooking vessel using an excitation component. It further includes sensing an acoustic response of the cooking vessel to the excitation using a sensor. It further includes determining a type of the cooking vessel based at least in part on the acoustic response of the cooking vessel to the excitation that is sensed via the sensor. Ingredient state detection includes sensing, using an acoustic sensor, vibrations pertaining to cooking of an ingredient in a cooking vessel. It further includes monitoring, over time, a signal that is based on the vibrations sensed by the acoustic sensor. It further includes, based on detecting a change in the signal that is based on the vibrations sensed by the acoustic sensor, determining a state of the ingredient.

The invention provides an aircraft cabin structure fault diagnosis method based on acoustic signals, and the method comprises the steps: obtaining a finite element model of an aircraft cabin structure, and calculating an acoustic response in a typical fault mode; acquiring a sound pressure level frequency response set, and forming an initial fault feature parameter set by using fault features in different frequency periods; utilizing a Gini coefficient gain algorithm to calculate the gain of the characteristic parameter component, and screening the initial fault characteristic parameter set to obtain an initial population; decoding the initial population to form a fault feature parameter subset, training a C4.5 decision tree and calculating individual fitness; iterating the initial population according to the fitness to obtain an optimal fault feature parameter subset and establishing a classification model; and establishing a to-be-detected characteristic parameter subset, identifying the to-be-detected characteristic parameters by using the classification model, and outputting the fault category and credibility of the to-be-detected characteristic parameters as a diagnosis result. According to the invention, a framework for diagnosing the aircraft cabin structure fault by using the acoustic signal is established, and the diagnosis precision is improved.

The invention discloses a wireless headset detection method and system, and relates to the technical field of monitoring analysis, and the method comprises the steps: building a three-dimensional virtual headset model based on a headset hardware state parameter set; loading acoustic environment simulation data in the three-dimensional virtual earphone model, and executing multi-band acoustic performance detection to obtain an acoustic response feature set; performing dynamic signal transmission stability detection on the wireless headset to obtain a wireless transmission feature set; constructing a multi-dimensional performance map of the earphone, and performing a wearing state simulation test through the three-dimensional virtual earphone model to obtain wearing mechanical characteristic data; performing dynamic matching comparison on the multi-dimensional performance map and a preset standard earphone model, and identifying performance deviation characteristics; fusing the wearing mechanical characteristic data and the performance deviation characteristic to generate a comprehensive detection result; and sending the comprehensive detection result to a detection terminal, and executing visual result presentation and abnormity early warning operation. The wireless headset detection method and the wireless headset detection device have the effect of improving the wireless headset detection efficiency.

Provided is a method for optimizing in-vehicle sound field. In the method, firstly calculates the actual acoustic response of each seat in the cabin to the preset audio signal played by each speaker, and calculates ideal acoustic response of the preset audio signal at the best listening position in the listening room. Then, based on that the actual acoustic response is consistent with the ideal acoustic response, the sound field of each seat in the cabin is reconstructed to obtain the sound field reconstruction result of each seat, so that the sound system controls each speaker to perform the sound reproduction of the audio signal to be played based on the sound field reconstruction result. Therefore, the actual acoustic response at each seat is consistent with the ideal acoustic response of the listening room, thus ensuring the acoustic experience of the passengers at each seat in the cabin.

The invention provides a three-dimensional noise reduction structure system drainage pipe design method, and belongs to the technical field of building drainage pipes. Discretization analysis is carried out on a three-layer structure of a spiral flow guide structure PVC pipe inner wall, an asymmetric butyl rubber damping interlayer and gradient density foamed aluminum by establishing a three-dimensional noise reduction model; and constructing a vibration transfer matrix and a noise reduction key point matrix. A spiral flow guide structure is optimized through hydraulic calculation, thickness distribution of a rubber damping layer is determined through acoustic impedance testing, foamed aluminum porosity gradient design is carried out, and a small-section noise reduction cross-correlation index is introduced to evaluate the synergistic effect of adjacent structures. The optimal material ratio is solved through a three-dimensional noise reduction optimization equation set, the noise reduction effect is predicted in combination with an acoustic response deep learning model, standardized module design is finally formed through miniaturized sample piece test verification and parameter correction, and organic unification of full-band noise reduction and modular design of the drainage pipe is achieved.

The invention relates to the technical field of semiconductor packaging, and discloses a bonding wire welding method based on bare chip interconnection, and the method comprises the steps: collecting and fusing acoustic response and optical reflection signals of a bonding interface in real time through a multi-mode in-situ sensing mechanism integrating acoustic resonance and surface plasmon resonance; dynamically calculating the thickness, the mechanical coupling deformation and the energy dissipation state of the intermetallic compound layer; and the ultrasonic power and the bonding force are subjected to closed-loop adjustment in combination with a model prediction control algorithm, so that the welding process is evolved along a preset optimal physical path all the time. The system comprises a multi-mode sensing welding head, a synchronous data acquisition module, a state resolving module and a self-adaptive control module. The transparent and intelligent welding process is realized, and the bonding consistency, reliability and yield of high-density interconnection are remarkably improved.

The present invention discloses a bionic regulation method for a number of bounces of a droplet on a metal surface based on acoustic in-situ monitoring, which comprises the following steps: obtaining dynamic contact characteristics and acoustic properties of a solid-liquid interface of metal superhydrophobic surfaces with different surface information in the droplet bounce process based on an optical-acoustic synchronous in-situ testing system for droplet bounces; and obtaining a correlation among the metal superhydrophobic surface, the acoustic response and the droplet bounce behavior based on the dynamic contact characteristics and the acoustic properties of the solid-liquid interface, and machining and modifying a micro-nano structure of the metal surface by combining a coupled bionic concept according to the correlation. A scientific basis and a novel design method are provided for the bionic regulation of the number of droplet bounces over the metal surface.

The invention discloses a micro-grid hydrogen power supply power accurate adjustment and overshoot suppression method, which comprises the following steps: acquiring sound waves generated in an electrochemical process in a proton exchange membrane in a hydrogen power supply to obtain an acoustic response signal set; based on the acoustic response signal set, reconstructing the current density in the proton exchange membrane to obtain a spatial distribution diagram with high temporal-spatial resolution; generating a directional acoustic compensation signal according to the non-uniformity represented by the spatial distribution diagram, and applying the directional acoustic compensation signal to a target area of the proton exchange membrane; and synthesizing the data, and generating a final control instruction for adjusting the hydrogen power supply through a multi-time scale coordination control architecture. According to the invention, real-time perspective and targeted physical intervention of the internal state of the fuel cell are realized through a non-intrusive acoustic means, and the dynamic response speed, the power regulation precision and the operation stability of the hydrogen power supply are remarkably 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 relates to the technical field of fault detection, and particularly provides a pharmaceutical equipment fault detection method and system.The pharmaceutical equipment fault detection method comprises the steps that in the granule medicine production process, real-time operation parameters of granule medicine production equipment are obtained, acoustic response signals at different positions of the granule medicine production equipment are collected; extracting a first acoustic propagation path feature according to all the acoustic response signals; acquiring a preset acoustic propagation path change mode according to the real-time operation parameters; when the change mode of the first acoustic propagation path is inconsistent with a preset acoustic propagation path change mode, comparing the first acoustic propagation path feature with the second acoustic propagation path feature to obtain a path feature difference; analyzing characteristic change modes of different pickup sensor pairs according to the path characteristic difference and preset equipment geometric topological structure data so as to identify an acoustic characteristic abnormal region and position a fault point; according to the method, the fault of the pharmaceutical equipment can be identified and positioned.

The invention provides a mining motor explosion-proof housing airtightness and internal pressure fault monitoring method, and relates to the technical field of mechanical equipment monitoring, and the method comprises the steps: arranging a piezoelectric sensing array at a sealing key point of an explosion-proof housing, obtaining a vibration signal generated in a motor operation process, and converting the vibration signal into a stress distribution matrix through a piezoelectric effect; and analyzing the stress distribution matrix by using singular value decomposition, and identifying the spatial distribution of the stress abnormal region. Acoustic tracer gas is injected into the shell, acoustic response signals of the piezoelectric sensor in different frequency bands are collected, an acoustic characteristic coefficient group is extracted through wavelet transform, and the mapping relation between the characteristic coefficient group and a leakage path is established. And generating a fault probability density function by using a recurrent neural network in combination with the stress anomaly region and the time sequence change rule of the feature coefficient group, and determining the space coordinates of the leakage point. According to the invention, the real-time evaluation of the airtight state of the explosion-proof housing and the accurate positioning of the leakage point can be realized, and the reliability and accuracy of the positioning result are effectively improved.

The invention discloses a liquid metal acoustic sensing fiber and a preparation method thereof.The sensing fiber is of a skin-core structure and comprises a skin layer and a core layer, the skin layer comprises a polyurethane elastomer, and the core layer comprises a conductive composite layer composed of liquid metal, nano-silver, carbon nanotubes and the polyurethane elastomer; wherein the conductive particles are liquid metal, nano silver and carbon nanotubes. The skin-core structure acoustic sensing fiber is prepared through the liquid metal, nano-silver and carbon nanotube composite conductive material and a coaxial wet spinning process, the skin-core structure acoustic sensing fiber is excellent in conductivity, stretchable, good in acoustic response performance and sensitive to sound waves of different frequencies, the preparation process is simple, large-scale production is easy, the cost is low, and the material is resistant to electromagnetic interference and high in environmental adaptability.

The invention discloses a solid-state battery bidirectional DCDC multi-target optimization control system integrated with a BMS, and belongs to the technical field of battery management systems, and the system comprises an acoustic library building module which is used for applying current pulses of different amplitudes and rates, and collecting a high-frequency broadband sound wave response spectrum; analyzing the propagation speed, attenuation characteristics and frequency spectrum change of sound waves in the multilayer structure, and establishing an acoustic characteristic base library; the risk identification module is used for applying a micro-current detection pulse in a predetermined mode and capturing a transient acoustic response; accurate sensing of the microscopic physical state of the solid-state battery under the dynamic load working condition can be achieved, high-power charging and discharging and working condition abrupt change scenes can be rapidly adapted, the power response timeliness and the control precision are improved, meanwhile, global optimal balance of efficiency, service life and power stability is achieved, uneven deposition of lithium ions is restrained, and the service life of the solid-state battery is prolonged. Interface impedance and failure risks are reduced, and safe and reliable operation of the system is guaranteed.

The invention discloses a multi-mode hearing function analysis system for prognosis evaluation of sudden deafness, which relates to the technical field of auditory rehabilitation engineering, and comprises an echo modeling module, a pseudo peak tracking module, a resonance correction module, a beat reconstruction module and a steady-state peak elimination module, and establishing a time-frequency phase-locked observation baseline, calibrating a complete echo path difference between the ear canal and the transducer, and generating echo topology priori. Echo topology reference is constructed, false peak tracking, resonance elimination and beat reconstruction mechanisms are combined, high-frequency false peak interference is accurately recognized and weakened, acoustic response authenticity is improved, auditory assessment precision is improved through a closed-loop regulation strategy, and sudden deafness prognosis judgment and rehabilitation intervention are effectively supported.