964 results about "Frequency sound" patented technology

The invention relates to the technical field of distributed optical fiber sonic sensors, in particular to a monitoring and early warning method and system for a distributed optical fiber sonic sensor, and the method comprises the steps: obtaining historical sound wave data and early warning data in a preset time period from a database; forming a monitoring and early warning sample database; broadband chirp continuous light is used as detection light, single-frequency light is used as local oscillation light, a Rayleigh scattering light field of any frequency at any moment is reconstructed through coherent detection, and the response bandwidth of the distributed optical fiber sonic sensor is improved; constructing a monitoring model, using the trained monitoring model to analyze the sound wave signals collected by the distributed optical fiber sound wave sensor, and identifying normal sound wave signals and abnormal sound wave signals; a delay summation beam forming algorithm is introduced, and the accuracy of weak high-frequency sound wave signal detection of the distributed optical fiber sound wave sensor is improved; sound wave signals collected by the distributed optical fiber sound wave sensor are analyzed and processed through the early warning model, and a vibration event is recognized.

The invention belongs to the technical field of vehicle state detection and early warning, and particularly relates to a vehicle state monitoring and early warning method and system.The monitoring and early warning method comprises the steps that a sensor obtains real-time data, an anomaly detection algorithm is applied, and an abnormal event is marked; calculating an information priority according to the abnormal severity and the driving scene, and distributing the information priority to a high-priority queue; multi-mode early warning is generated, and high-frequency sound and vibration are used during high-speed driving; extracting a voice prompt, and generating voice waveform data through a voice synthesis module; voice input of a driver is recognized, intention is analyzed, and abnormal information feedback is provided; according to the scene and the abnormal state, interactive output is optimized, and detailed information is displayed during low-speed congestion; dynamically adjusting the interface of the instrument panel, and amplifying the key area in case of abnormal severity; and integrating the image data and the voice data, generating a multi-mode signal, and transmitting the multi-mode signal after rendering processing. The vehicle abnormal information can be timely and accurately transmitted to a driver, and the driving safety is effectively improved.

The invention relates to a two-parameter calibration-free pulverized coal temperature measurement method based on acoustic tomography, and the method comprises the following steps: 1, arranging a plurality of loudspeaker and microphone combination modules around a measurement field domain for transmitting and receiving acoustic signals, and forming an annular acoustic sensor array; step 2, multi-frequency sound transit time and amplitude attenuation measurement; 3, constructing a tomography inversion problem model of sound velocity and sound attenuation distribution; 4, respectively realizing tomography inversion of sound velocity and sound attenuation distribution through an improved joint iterative reconstruction method SIRT, and solving pulverized coal accumulation slowness and sound attenuation coefficient distribution under each frequency; 5, calculating a corresponding multi-frequency complex wave number through the multi-frequency slowness and the sound attenuation coefficient in each grid; step 6, constructing a temperature decoupling model of a complex wave number; and 7, regarding the temperature decoupling model of the complex wave number as a nonlinear objective function optimization problem, establishing a nonlinear objective function, and performing parameter decoupling and temperature calculation.

The invention discloses a control method and system suitable for a massage physiotherapy instrument, and relates to the technical field of physiotherapy equipment, and the method comprises the steps: collecting the physical sign parameters of a user in real time, analyzing the muscle, meridian and pain states, and generating matched personalized treatment parameters; based on the personalized treatment parameters, the negative pressure adsorption force of the target area is dynamically adjusted, and the adsorption state is monitored in real time; applying an intermediate-frequency electric pulse to a target area on the basis of negative-pressure adsorption, and dynamically adjusting an electric pulse parameter in combination with an adsorption state; on the basis of feedback data of the target area after the medium-frequency electric pulse effect, controllable heat is transferred to the deep tissue through a heat energy device in the negative pressure adsorption area; after controllable heat transfer is completed, high-frequency sound waves are released in the negative-pressure adsorption area for cell gap micro-vibration; according to feedback data, a heat energy transfer mechanism accurately acts on deep tissues, blood flow is improved, and muscle relaxation is promoted.

The invention discloses a foam cement-based sound absorption material with an adjustable and controllable pore structure and a preparation method of the foam cement-based sound absorption material, and belongs to the technical field of building functional materials. Aiming at the problems of insufficient pore structure regulation and control, limited sound absorption performance and high cost of a traditional cement-based sound absorption material, P.O42.5R Portland cement is used as a basis, a physical-chemical synergistic foaming method and a three-stage gradient temperature control freeze-drying process are combined through the synergistic effect of a composite foaming agent, a microporous structure regulator and a composite pore forming agent, and the sound absorption material is prepared. Precise regulation and control of pores from the nm level to the mm level are achieved, and an interconnected pore channel network with the high open porosity is formed. The density of the obtained material is 200-1000 kg / m, the porosity is 60-90%, the aperture coverage range is 2 nm-6 mm, the open porosity is 70-85%, the 28d compressive strength is 1.83-14.56 MPa, the average sound absorption coefficient in the frequency range of 250-2000 Hz is 0.12-0.62, and the noise reduction coefficient is 0.14-0.64. The composite material has the characteristics of adjustable pore structure, light weight, high strength, broadband sound absorption, low cost and good durability, and is suitable for the noise control fields of building walls, traffic facilities and the like.

The invention discloses a machine learning optimization method of a low-frequency sound absorption structure based on three-dimensional printing, and belongs to the technical field of artificial intelligence acoustics, the low-frequency sound absorption structure is prepared from a photosensitive resin material through photocuring three-dimensional printing, and comprises a side seam, an extension cavity, a circular through hole, a resonance cavity, a first partition plate, a second partition plate and a third partition plate, the method has good expansibility and can be adjusted according to different noise control requirements; through a machine learning optimization method, structure parameters can be quickly adjusted to cope with a noise control task on the premise of ensuring a small size, so that a remarkable sound absorption effect is obtained at a specific low-frequency band; according to the method, a machine learning method based on a multi-layer perceptron and a genetic algorithm is adopted, geometric parameters of the low-frequency sound absorption structure are optimized, simulation calculation is carried out by using a commercial finite element solver COMSOL Multiphysics, and the sound absorption performance of the structure is further verified and optimized.

The invention relates to an underwater sound absorption structure, underwater equipment and a preparation method of the underwater sound absorption structure, and relates to the technical field of shock absorption and noise reduction. The underwater sound absorption structure comprises a honeycomb dot matrix structure, the honeycomb dot matrix structure comprises a honeycomb supporting structure and a plurality of honeycomb type cells arranged in the honeycomb supporting structure, each honeycomb type cell comprises a damping layer component, a resonance unit and a cavity structure are arranged in each damping layer component, and the resonance units are arranged in the cavity structures. And the resonance units are closer to the tops of the honeycomb type cells than the cavity structures. The underwater sound absorption structure can still maintain high sound absorption capacity under high hydrostatic pressure, and a good sound absorption effect can be maintained in low-frequency, intermediate-frequency and high-frequency sound absorption frequency ranges under high pressure.

The invention discloses a water supply pipeline leakage identification method based on active low-frequency sound wave excitation, and the method comprises the steps: obtaining a sound signal in a pipeline through a low-frequency sound emission transducer and a hydrophone which are disposed at two ends of the pipeline, and generating a corresponding leakage point position based on a pre-constructed sound wave equation; processing the sound signal to obtain a corresponding time-frequency image, labeling the time-frequency image by judging whether the sound signal is a leakage signal or not, and forming a data set by a signal frequency spectrum, a leakage point position and a label; constructing an identification network; training an identification network by using the data set to obtain a water supply pipeline leakage identification model for identifying whether the pipeline is leaked or not; and inputting the sound signal in the to-be-identified pipeline into the water supply pipeline leakage identification model so as to output an identification result about whether the pipeline is leaked or not and an identification result about the position of a leakage point. The invention further provides a water supply pipeline leakage identification device. The method provided by the invention can effectively improve the accuracy of leakage identification.

The invention provides a broadband sound absorption structure suitable for undercarriage cabin door noise reduction and a design method, and belongs to the field of aircraft noise reduction. The sound absorption structure comprises a plurality of perforated plate type Helmholtz cavity unit cells and a plurality of embedded pipe type Helmholtz cavity unit cells. In the perforated plate type unit cells, one or more first through holes are formed in the perforated plate. And in the embedded pipe type unit cells, the embedded pipes penetrate through the perforated holes in the perforated plates and extend into the cavities. Cavities of the two single cells face the same direction, and the perforated plate forms a curved surface conformal with an undercarriage cabin door. The effective length of the neck of the perforated plate is increased by using the embedded pipe, the low-frequency sound absorption performance is improved, the sound absorption performance and the sound absorption bandwidth of the middle-frequency band are improved by using the perforated plate type Helmholtz cavity, meanwhile, the curved surface conformal design is highly matched with the special-shaped cabin door structure, and the sound absorption performance is improved. The low-frequency and medium-frequency sound absorption performance can be guaranteed, and meanwhile the light and thin requirements of an aircraft can be met; and a pure passive mechanical structure is adopted, so that the control complexity and stability risks of an active noise reduction system can be avoided.

The utility model relates to a soundproof cover, a soundproof cover assembly and an energy storage cabinet, the soundproof cover comprises a cover body and at least one separator, the cover body is internally provided with a cavity, a first opening and a second opening, the first opening and the second opening are communicated with the cavity, the at least one separator is arranged in the cavity and divides the cavity into a plurality of sub-runners, one end of each sub-runner is communicated with the first opening, and the other end of each sub-runner is communicated with the second opening. The cover body is provided with a first arrangement area, the first arrangement area is located on the cavity wall of the cavity, and / or the first arrangement area is arranged in the cover body and communicated with the cavity, the partition piece is provided with a second arrangement area, the second arrangement area is located on the outer surface of the partition piece, and / or the second arrangement area is located on the outer surface of the partition piece. The second arrangement area is arranged in the partition piece and communicates with the cavity, and the first arrangement area and the second arrangement area are both used for arranging the noise reduction piece. Thus, the noise reduction part can make contact with airflow in the flow channel and absorb sound waves (medium-high-low-frequency sound waves) of the airflow, the noise reduction effect is achieved accordingly, the contact area of the airflow and the noise reduction part is large, and the noise reduction effect of the sound insulation cover is improved.

The invention relates to an intelligent bedside instrument for relieving insomnia with assistance of sound waves. The intelligent bedside instrument comprises a sound wave adjusting module, a sound wave resonance relaxing system, a sleep state monitoring module and a personalized feedback system, the sound wave adjusting module sends specific sound waves to the sleep environment, and the sleep environment is automatically optimized based on sleep stage data monitored in real time by adjusting the frequency and intensity of the sound waves. The sound wave resonance relaxing system emits low-frequency sound waves with specific frequency into a bed head or a pillow according to the sleep state of a user, and the low-frequency sound waves are transmitted to the head and the body of the user through the resonance effect and used for relaxing tense muscles, stimulating deep nerves and helping the user to quickly relax and sleep. Through sound wave adjustment, resonance relaxation, accurate sleep state monitoring and a personalized feedback system, the sleep quality of a user is effectively improved, the user is helped to quickly enter deep sleep from a light sleep state, external interference is avoided, a sleep adjustment scheme is continuously optimized through intelligent analysis, and personalized requirements are met.

The invention discloses a frequency mixing sound demodulator based on a curled structure and a use method thereof in the acoustics field, the demodulator is used for separating frequency mixing sound mixed by a plurality of sound waves with preset frequencies according to respective frequencies, and the demodulator comprises an air waveguide for transmitting the sound waves, and blocking structures arranged on two sides of the air waveguide for blocking the sound waves from penetrating, and a plurality of curled structures that capture corresponding preset frequency sound waves; curled structures are arranged in the barrier structure on at least one side of the air waveguide at intervals, one end of each curled structure is open, and the other side is closed; a plurality of cross beams for blocking penetration of sound waves are arranged in each curled structure, and an internal channel of each curled structure is divided into different lengths to serve as different acoustic resonant cavities so as to capture the sound waves with different frequencies; the closed end of each curled structure is a detection end of each preset frequency sound wave. The invention solves the problem that the existing method is difficult to instantly separate the frequency mixing sound signal and carry out information transmission.

The invention discloses a leakage monitoring method of a sealing connection structure for hydrogen conveying, and relates to the field of gas conveying and storage monitoring, and the method comprises the steps: S1, arranging an annular negative pressure sampling cavity to collect multi-modal data, and calculating the angle section suspiciousness; s2, applying thermal pulse and sweep frequency sound wave excitation, and collecting a response signal to generate a thermoacoustic leakage score; s3, environment compensation and multi-sensor fusion are carried out to obtain an angle section hydrogen concentration time sequence; s4, obtaining an inversion flux based on the comprehensive response and sparse-smooth inversion to realize leakage positioning; and S5, calculating a risk score and performing graded alarming according to a threshold value. Multi-point detection units are arranged in the circumferential direction of the sealing connection structure, signal fusion is adopted, full-coverage leakage monitoring and high-precision positioning of the sealing structure are achieved, emergency measures are automatically triggered in combination with risk grading, and the discovery timeliness and safety are improved.

The invention discloses an underwater passive positioning method combining multi-scale feature extraction and transfer learning. The underwater passive positioning method comprises the following steps: acquiring sound wave data of a sound source to be positioned in a simulation environment; performing feature extraction on the to-be-positioned sound source sound wave data to obtain sound source sound wave features; the sound source sound wave features are input into a positioning prediction model, the sound source distance and the sound source depth are predicted, the positioning prediction model is obtained through training of a training set, and the training set is waveform data of different frequency sound pressures; and domain migration is carried out on the sound source sound wave positioning problem in the simulation environment to a real sea test environment, and underwater sound source positioning is carried out. According to the invention, the acoustic diversity and dynamic change characteristics of the marine environment can be comprehensively captured, and the adaptability of the model to the real environment is improved.

The invention relates to a ventilation and noise reduction structure and device and electric equipment, the ventilation and noise reduction structure comprises a first shell and a second shell, the first shell is enclosed to form a ventilation channel, the second shell is sleeved outside the first shell, a cavity is formed by the second shell and the first shell, and the ventilation channel is communicated with the second shell. The first shell is provided with at least one through hole which is communicated with the ventilation channel and the cavity, and the through hole is used for reducing noise; therefore, an effective resonance noise reduction structure is formed through the cavity and the through holes, the resonator structure is combined with the ventilation channel, under the condition that ventilation is guaranteed, a sound insulation wide spectrum can be effectively formed, noise in a wide frequency range is blocked, and therefore the wide-spectrum sound insulation effect on sound waves of different frequencies is achieved while the ventilation effect is guaranteed.

The invention discloses a multi-channel audio calibration method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: collecting and separating a main sound channel signal and a bass sound channel signal in a multi-channel audio signal; detecting time delay between a main sound channel and a bass sound channel based on a phase correlation algorithm, and performing adaptive delay compensation; the state change of the audio signal is monitored in real time, and before or when a signal switching event is detected, gradient gain envelope is applied to the bass sound channel signal, so that the signal amplitude gradually changes to a target value according to a preset nonlinear curve; a sonic boom event is analyzed and identified based on multi-dimensional characteristics, a self-adaptive amplitude limiter with a prospective processing capability is started for suppression, and harmonic distortion compensation and phase correction are carried out on a processed signal, so that the problems of signal asynchronization caused by low-frequency output delay of an audio system in the prior art, and the system reliability is improved are solved. Therefore, the low-frequency sound quality and the system stability are improved.

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 provides a robust optimization method and device for a low-frequency sound absorption metamaterial, and relates to the technical field of punching, and the method comprises the steps: obtaining a response function of a target metamaterial through employing a linear one-dimensional rheological model; determining a target coupling region by using an imaginary part of a transfer function zero point corresponding to the response function or a size relationship between inherent loss and radiation loss as a coupling criterion, and determining a closed coupling region where a preset parameter point is located as an initial robust region; the target coupling region comprises a closed coupling region; the preset parameter point meets the one-dimensional frequency domain response of the target metamaterial; and determining the size of the initial robust region by using the Lexberg measure of the Euclidean space, and optimizing the robust region by maximizing the Lexberg measure of the initial robust region in the Euclidean space to obtain a target robust region. According to the method, the maximum robust region in the parameter space is found through maximum measurement, so that the response characteristics of the viscoelastic damping material under the actual working condition can be accurately described.

The invention discloses a method and a device for realizing sound source localization by using a microphone array carried by an unmanned aerial vehicle. The method comprises the following steps: S1, acquiring a multi-channel audio signal which is measured by the microphone array carried by the unmanned aerial vehicle and contains flight noise of the unmanned aerial vehicle; s2, extracting a beam forming diagram of the multi-channel audio signal by using a conventional beam forming technology; and S3, inputting the beam forming diagram into the trained neural network model to obtain a predicted sound source position and sound source intensity. The invention aims to overcome harsh sound array conditions (limited array aperture and relatively small array element spacing) and complex acoustic environment (extremely low signal-to-noise ratio and unmanned aerial vehicle self-noise non-stationary characteristics) on the unmanned aerial vehicle, and realizes efficient and real-time sound source localization of a high-frequency sound source by the microphone array carried by the unmanned aerial vehicle.

The invention provides a big data-based material detection method and system, relates to the field of material quality detection, and solves the technical problems of insufficient detection precision and poor supply chain quality control linkage in an existing material detection method. The method comprises the following steps: transmitting sweep-frequency sound waves to warehouse-in materials of a peripheral warehouse by using a sound wave transmitting device; collecting vibration velocity spectrum data and sound pressure gradient data of the warehouse-in material after the warehouse-in material receives the frequency sweep sound wave; according to the vibration velocity spectrum data and the sound pressure gradient data, calculating a defect index of the warehouse-in material; and when the defect index is greater than a preset threshold value, marking the warehousing material as a defective material, sending a traceability detection instruction to a previous node warehouse, and starting a grading detection process of the previous node warehouse. The method and the device are used for warehousing detection, quality traceability and full-chain management and control processes of the materials in the supply chain.

The invention belongs to the technical field of low-frequency sound absorption, and discloses a micro-perforated plate composite gradient spiral pipe sound absorption device and method.The micro-perforated plate composite gradient spiral pipe sound absorption device comprises a variable cross-section spiral pipe, and the diameter of the inlet end of the variable cross-section spiral pipe is larger than that of the outlet end of the variable cross-section spiral pipe; a plurality of MPP plates are mounted in the variable-cross-section spiral pipe, one MPP plate is embedded into the inlet end of the variable-cross-section spiral pipe, and the other MPP plates are sequentially embedded into the variable-cross-section spiral pipe at equal intervals, so that a multi-stage MPP plate composite sound absorption structure is formed; and the cross-section pipe diameter of the variable cross-section spiral pipe is linearly reduced from the inlet end of the variable cross-section spiral pipe to the outlet end of the variable cross-section spiral pipe. Through the gradient design of the variable cross-section spiral tube integrated micro-perforated plate, low-frequency broadband efficient sound absorption is realized in a compact space, the problem of heavy structure caused by dependence on a deep and large back cavity in the traditional technology is avoided, the limitation of narrow sound absorption frequency band is overcome, and the sound absorption device is particularly suitable for being applied to occasions with limited spaces and has wide application prospects. And low-frequency performance and broadband characteristics are considered in a limited space.

The double-spiral Helmholtz resonator comprises a cavity, an upper cover of the cavity is provided with at least two open holes, each open hole is internally embedded with a spiral pipe, the spiral pipes surround downwards along the interior of the cavity, the openings located above the spiral pipes are connected with a water area, a rubber coating is arranged in the cavity, and the rubber coating is arranged in the cavity. The spiral pipes are hollow spiral pipes which are not overlapped with one another, it is guaranteed that the water cavity and the resonant cavity are connected and communicated, and Helmholtz resonance is triggered through the physical interaction between the rubber coating and the embedded spiral pipes. Helmholtz resonance is triggered through the physical interaction of the rubber coating and the embedded spiral neck, an excellent sound absorption effect is achieved, theoretical prediction is well matched with a finite element simulation result, the sound absorption coefficient of the proposed double-spiral Helmholtz resonator structure cell element at 105Hz reaches 0.91, and the sound absorption coefficient of the double-spiral Helmholtz resonator structure cell element at 105Hz reaches 0.91. The wavelength k of the sound wave is 300 times of the thickness H of the metamaterial, and perfect absorption is achieved on the deep sub-wavelength scale.

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 discloses a low-frequency sound absorption device for a wind tunnel corner flow deflector, and the device comprises a housing which is internally provided with a low-frequency sound absorber and an impedance matching layer. The low-frequency sound absorber comprises a Helmholtz resonance cavity, a sealing ring and an elastic support, the Helmholtz resonance cavity is distributed in the sealing ring in a square lattice or rectangular lattice mode, and the sealing ring is connected with the shell through the elastic support; the impedance matching layer comprises a porous material layer, an air matching layer and a gradual change section cavity, the porous material layer is connected with the surface, closest to sound wave incidence, of the shell, the air matching layer is located between the porous material layer and the gradual change section cavity, and the sectional area of the gradual change section cavity is gradually increased in the sound wave incidence direction. The thickness of the low-frequency sound absorption device does not exceed 650 mm, the low-frequency sound absorption device is high in aerodynamic noise absorption coefficient at the low frequency band of 50-200 Hz, has excellent high-temperature resistance, can stably operate in the working environment of 150 DEG C or above, and meets the strict working conditions of a wind tunnel laboratory.

The invention discloses intelligent sound equipment, and relates to the technical field of sound equipment, the intelligent sound equipment comprises a shell, a first partition plate, a second partition plate, a high-frequency loudspeaker, a full-frequency loudspeaker and a radiation unit, and the shell is provided with an accommodating cavity; the first partition plate and the second partition plate are arranged in the containing cavity at intervals so as to divide the containing cavity into a high-frequency cavity, an intermediate-frequency cavity and a low-frequency cavity which are sequentially arranged, the size of the high-frequency cavity is smaller than that of the intermediate-frequency cavity, the size of the intermediate-frequency cavity is smaller than that of the low-frequency cavity, and the high-frequency loudspeaker is arranged in the high-frequency cavity. The full-frequency loudspeaker is arranged in the intermediate-frequency cavity, the second partition plate is provided with a frequency division unit communicated with the intermediate-frequency cavity and the low-frequency cavity, the frequency division unit is used for scattering and absorbing medium-high frequency sound waves and keeping propagation of low-frequency sound waves, and the radiation unit is arranged in the low-frequency cavity; the radiation unit is used for receiving low-frequency sound waves which are emitted by the full-frequency loudspeaker and are transmitted to the low-frequency cavity through the frequency division unit so as to enhance low-frequency response.

The invention discloses an energy storage safety early warning system of a smart power grid, and relates to the technical field of smart power grids, the system comprises a parameter acquisition module, a data preprocessing module, a fusion analysis module, a dynamic threshold adjustment module and an early warning output module; multi-mode physical parameters of vibration frequency, sound characteristics and electromagnetic field change of the energy storage equipment are introduced, traditional temperature and electric quantity parameters are combined, comprehensive and deep monitoring of the operation state of the equipment is achieved, the analysis mode of multi-parameter fusion not only enriches data dimensions, but also improves the reliability of the equipment. Meanwhile, by means of the artificial intelligence algorithm, the early warning threshold value can be dynamically adjusted according to equipment operation data and environment data which are collected in real time, so that the method can be more flexibly adapted to changes of the equipment operation state, and the comprehensive and accurate equipment state evaluation and early warning mechanism can be used for improving the accuracy and reliability of equipment state evaluation. And a powerful guarantee is provided for safe operation of an intelligent power grid.

The present disclosure related to a method of using high frequency sound waves directed toward an acoustically active particle. The high frequency sound waves may be configured to enlarge the acoustically active particle and oscillate the acoustically active particle, thereby facilitating extravasation of an agent to a tissue compartment of a region of interest.

The invention relates to the technical field of micron-sized jet flow and uniform atomization, in particular to a monodisperse uniform fog drop device and an atomization spray head spray hole array arrangement method, and the monodisperse uniform fog drop device comprises a driving source, a liquid supply device and a spray head; the spray head is a monodisperse atomizing spray head, the driving source is an ultrasonic signal generating system, the liquid supply device supplies constant-pressure fluid to the spray head, and the spray head forms monodisperse spray under the driving of high-frequency sound waves of the ultrasonic signal generating system; the spraying hole array arrangement method of the atomizing nozzle comprises the following steps of: setting smaller spraying hole spacing in small deformation areas close to the center of the spraying hole plate and constraint ends on two sides of the spraying hole plate; a large safety distance is arranged in a large deformation area between the restraining end of the spray orifice plate and the center of the spray orifice plate, so that intersection caused by jet flow intersection is prevented. According to the device and the arrangement method, the problems of mutual interference and the like between large-scale array jet flows are solved; the controllability of the size and the speed of the monodisperse atomized liquid drops can be effectively improved, so that macro micro liquid drops with uniform size and concentrated speed are generated.

The invention discloses a hydrophone low-frequency sensitivity calibration method based on time domain scaling average processing, relates to the technical field of hydrophone low-frequency sensitivity calibration, and solves the problem of inaccurate direct sound wave amplitude measurement caused by boundary sound reflection superposition of an experimental pool and a measuring device in hydrophone calibration. Comprising the following steps: placing a light-reflecting and sound-transmitting thin film in a water body, and carrying out transducer and thin film laying and laser focusing; the underwater sound pressure value is reproduced based on a laser interference method; when reflection sound and direct sound superposition occurs in low-frequency measurement data, adjacent frequency points are selected to carry out multiple times of measurement. The arrival time of the direct sound is accurately measured by transmitting the high-frequency sound pulse, so that alignment of starting points of waveform data with different frequencies is realized; when low-frequency measurement is carried out, not only data of the inspected frequency is collected, but a narrow frequency band near the inspected frequency is selected, and multi-frequency-point data is sequentially collected and subjected to subsequent algorithm processing.

The invention belongs to the technical field of underwater acoustic transducers, and relates to a low-frequency underwater fluid sound production device which comprises a power assembly, a rotating assembly and a transduction assembly which are connected in sequence. The transduction assembly comprises a center shaft and a multi-stage blade type transducer connected to the center shaft in series. The power assembly converts fuel chemical energy into fluid kinetic energy so as to drive the rotating assembly. The rotating assembly rotates under the impact of the power assembly and drives the central shaft of the transduction assembly to rotate so as to convert fluid kinetic energy into mechanical kinetic energy; a blade type transducer of the transduction assembly is linked with the center shaft, so that a blade structure of the blade type transducer rotates and swings, water flow with the flow periodically changing along with time is generated, low-frequency sound radiation is formed, mechanical kinetic energy is converted into sound energy, and low-frequency underwater fluid sound production is achieved. According to the invention, wide-frequency-band and high-power radiation can be realized at the same time, and the sound source intensity is high.