59 results about "Sound power" patented technology

The invention discloses a sound power adjusting system based on vehicle-mounted battery state self-adaption, and relates to the technical field of automobile electronic control, and the system comprises a vehicle state sensing and data collection module which is used for analyzing a bus message to obtain a power parameter and a load state, and collecting a battery physical parameter; the decision and strategy control module is connected to the sensing module and is used for calculating a sound equipment allowable output power threshold value under the current working condition and generating a control instruction according to the power priority mapping table and a battery state power calculation model; the execution and audio processing module is used for adjusting the carrier frequency and gain of a power amplifier according to the instruction and executing audio frequency band processing; and the cross-domain isolation power supply protection module is used for providing isolation power supply and switching to the emergency energy storage element when the voltage drops. Through a load preloading mechanism and dynamic internal resistance evaluation, adaptive matching of the sound power and the vehicle battery state is realized, and the system is effectively prevented from resetting due to voltage drop.

The application relates to a real-valued super-resolution direction estimation method of a high-order acoustic field sensor array, which uses a received signal covariance matrix to approximately calculate an estimated value of noise power, avoids the iterative operation process of noise power in the prior art, improves the calculation efficiency, and reduces the floating-point operation amount. By constructing an augmented matrix, the array receiving data matrix and the array manifold matrix with a multi-dimensional structure of an element are made into Hermitian matrices, so that the unitary transformation processing of the related parameters of the high-order acoustic field sensor array is realized. On the basis of obtaining the array receiving data matrix and the array manifold matrix in the real number domain, the array receiving data matrix and the array manifold matrix are applied to a sparse approximate minimum variance method with a variable exponential factor, and the completely real-valued sparse approximate minimum variance direction estimation with a variable exponential factor is realized.

The invention relates to a thermoacoustic machine (1) comprising a control device (14) configured to modulate the acoustic power generated by one or more acoustic sources (6-9) so that the temperature of an external source (2) connected to one or more thermoacoustic cells (10-13) of the machine (1) reaches or remains substantially the same as a setpoint temperature. Figure for the abstract: Fig. 1

1. The name of the design product: solar Bluetooth sound power (K035). 2. The use of the design product: for energy storage, the product can also be used to play audio. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of power generation devices, and provides a nuclear fuel built-in loop free piston thermo-acoustic generator which comprises a thermo-acoustic engine, a control drum, a neutron reflecting layer and a piston type generator, the thermo-acoustic engine comprises a low-temperature heat exchanger, a heat regenerator and a reactor core which are arranged in sequence, and the reactor core is provided with a channel for working medium gas to circulate; the control drum is arranged on the peripheral side of the thermoacoustic engine; the thermoacoustic engine and the control drum are both arranged in the neutron reflecting layer, the piston type generator is provided with a main piston air cylinder, the main piston air cylinder is in acoustic communication with the outlet end of the thermoacoustic engine through an expansion cavity side resonance tube, and the piston type generator is used for converting part of acoustic power into electric energy and adjusting the acoustic impedance phase angle. The reactor core is directly used as a heat source to be arranged in the thermoacoustic engine, so that the reactor core directly replaces a hot end heat exchanger in the traditional technology, the arrangement of a middle heat transfer structure is avoided, the structure is simple, and the problem of low heat transfer efficiency caused by the heat transfer structure is avoided.

The invention relates to the technical field of environmental acoustics, discloses a road totally-enclosed sound barrier sound field prediction method and system, belongs to the field of environmental acoustics, and has very high practicability in sound field prediction and noise pollution evaluation of public road traffic noise after a totally-enclosed sound barrier is implemented. On the basis of the acoustic propagation principle, a new prediction method is provided for a road traffic noise source and a totally-closed sound barrier, a sound field is divided into two subsystems including a barrier internal space and an external space, and equivalent acoustic models of the two subsystems and a calculation method and recommendation parameters of the noise source sound power level are given respectively. According to the method, the sound environment of the high-rise building close to the urban road can be accurately predicted and calculated, and a basis is provided for noise pollution evaluation and control. And meanwhile, the method can be matched with a national standard method or commercial acoustic software for use, and has relatively high applicability.

The present application relates to the field of sound field measurement of medical ultrasonic diagnostic equipment, and particularly relates to a sound mask for limiting square area sound power measurement and a preparation method thereof. The sound mask comprises: a first absorbing layer, a reflecting layer, an intermediate layer and a second absorbing layer which are sequentially stacked from top to bottom; the reflecting layer is located at the central region of the first absorbing layer, the intermediate layer and the second absorbing layer, and a square sound transmission hole penetrating through the thickness of the reflecting layer is formed on the reflecting layer; the first absorbing layer, the reflecting layer, the intermediate layer and the second absorbing layer are tightly adhered through a pouring process to form an integral plate structure. The present application reasonably arranges the mask structure of the sound mask by establishing a theoretical model of sound wave vertical incidence multi-layer medium, so that the sound beam can be constrained, and the performance of the sound mask can strictly meet the technical requirements of the industry standard YY / T1084-2015.

The present disclosure relates to a method and device for acoustically imaging fan noise, an electric vehicle charging pile, and a storage medium. The method comprises: acquiring a noise time-domain signal generated by a fan when the fan is running; performing time-frequency conversion on the noise time-domain signal based on a short-time Fourier transform algorithm to obtain a noise frequency-domain signal; inputting the noise frequency-domain signal into a delay-and-sum beamformer to perform beamforming to obtain beam data; positioning principal component data of the beam data to obtain sound power data; and generating a sound image containing a sound source position according to the sound power data. In this embodiment, the resolution of the noise can be improved by positioning the principal component of the beam data, which achieves the effect of accurately positioning the sound source position and is conducive to obtaining a more accurate sound image.

An exhaust plume control structure includes a mounting member configured to mount to an exhaust flow source. A diverter member is coupled to the mounting member to radially direct an initial exhaust flow exiting from the exhaust flow source radially outward. A plurality of peripherally spaced, radially extending vanes are coupled to the mounting member and radially outward of the diverter member to separate the radially outward directed initial exhaust flow into a plurality of additional exhaust flows. Each vane has a radially diverging cross-section. Each of the plurality of additional exhaust flows has a same radial exit velocity. The structure reduces exhaust flow velocity and may provide back pressure to the initial exhaust flow. The structure has a sound power level of less than 115 dBA. A power generating plant including the structure is also disclosed.

This invention discloses an artificial intelligence-based design method for the sound insulation and noise reduction enclosure structure of converter stations, specifically relating to the field of converter station noise control. It addresses the problems of low-frequency control difficulties and noise leakage from ventilation openings leading to mismatch between the design scheme and station boundary targets in converter station enclosure structure design. The method involves obtaining equivalent continuous sound levels at representative points at the station boundary according to specifications and recording equipment operating status. These levels are then compared with existing predicted sound levels of the same diameter to obtain source term corrections, generating an equivalent sound power parameter set. Combining ventilation and heat dissipation constraints with the station's layout boundary calculation criteria, machine learning is used to comprehensively obtain the governance allocation coefficient. This guides the retrieval of the enclosure unit library to generate candidate enclosure combinations and matching opening noise reduction configurations. Finally, sound field and thermal ventilation checks are performed to output a constructable layout and node details, improving design feasibility and consistency.

The invention provides a sound insulation cover field sound insulation effect evaluation method based on oil tank vibration and sound signal inversion, and relates to the technical field of substation reactor sound insulation cover noise field evaluation. The method comprises the following steps: firstly, collecting surface vibration data of the extra-high voltage shunt reactor, and calculating an average sound pressure level of body noise according to the surface vibration data; constructing a multi-sound-source noise calculation model, and combining the frequency domain data of the full-band noise of the receiving point to solve the sound propagation attenuation under each frequency; a sound source single-band sound power inversion model is further established, and the sound power and the full-band sound power spectrum of the sound source are obtained; and finally, the insertion loss of the acoustic enclosure is calculated according to the full-band sound power spectrum and the average sound pressure level of the body noise, and accurate quantitative evaluation of the field sound insulation effect of the acoustic enclosure is realized. The method can effectively overcome the defects that traditional measurement is easily interfered by environmental noise and real insertion loss cannot be obtained.

The invention relates to the technical field of engineering machinery, and discloses a method and device for evaluating knocking energy and radiation noise of a gearbox, and the method comprises the steps: collecting the radiation sound power of a reference gearbox under torque fluctuation at different moments; according to the obtained gear parameter set of the reference gearbox, the gear knocking energy of the reference gearbox is determined, the gear parameter set of the reference gearbox comprises the gear parameter of each gear in all gears of the reference gearbox, and the gear parameters comprise at least one of the gear radius, the gear rotating speed and the rotational inertia; according to the gear knocking energy of the reference gearbox and the radiation sound power of the reference gearbox, the gear knocking energy of the target gearbox and the radiation sound power of the target gearbox under torque fluctuation at different moments are predicted, and the target gearbox and the reference gearbox are the same gearbox. Therefore, the evaluation accuracy and the evaluation efficiency of the gear knocking level and the radiation noise of the gearbox can be improved.

The invention discloses an elevated station under-bridge waiting hall vehicle-induced structural noise parameterization calculation method, which is characterized by comprising the following steps: S1, dividing the top surface of an elevated station under-bridge waiting hall into areas, acquiring the area of each area, the coordinates of a central point and the time domain vibration acceleration of each central point, and further obtaining the vibration speed; s2, establishing a relationship between the vibration speed and the radiation sound power, and converting the vibration quantity into an acoustic quantity; s3, establishing a relationship between the radiation sound power of each region and the sound pressure radiated to the target point in each region; s4, superposing the sound pressure contributions of the full frequency band and all the areas to obtain total sound pressure; and S5, calculating the structural noise sound pressure level of the target point. Compared with a traditional finite element method and a boundary element method, the method has the advantages that the calculation complexity is remarkably reduced, the efficiency is greatly improved, the full-band calculation precision is improved, the data acquisition threshold is low, and the design period is shortened.

1. The name of the design product: active linear array loudspeaker (LASOUNDX_P212 double 12 inches). 2. The use of the design product: for sound power amplifier. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of audio power amplification, and discloses an intelligent sound power amplifier, which comprises a processor, and the processor is configured to execute the following steps: calculating a thermal state coefficient based on the temperature of a power amplifier chip and the temperature of a loudspeaker voice coil; calculating a signal load factor based on the signal peak value, the short-term RMS value and the low-frequency energy integral ratio; calculating a dynamic load-system tolerance matching degree based on the thermal state coefficient, the environmental noise sound pressure level and the signal load factor; calculating a dynamic response coefficient based on the signal parameter change acceleration and the power supply voltage drop rate; and integrating the signal load factor, the dynamic load-system tolerance matching degree and the dynamic response coefficient, and calculating and adjusting to a target compression ratio. According to the invention, the self-adaptive dynamic adjustment of the compression ratio is realized by sensing the signal characteristics, the thermal state of the system and the external environment in multiple dimensions, the sound quality and the hearing feeling can be guaranteed, the overload, overheating and fatigue damage of equipment can be effectively prevented, and the reliability, the environmental adaptability and the user experience of the system are improved.

The application provides a power control method based on MMSE signal-to-noise ratio estimation, which comprises the following steps: in the communication link establishment stage, a signal frame containing pilot subcarriers is sent from a transmitting end to a receiving end; the signal-to-noise ratio of the current link and the environmental noise level are estimated based on the signal frame received by the receiving end, and the required transmitting sound power is calculated based on the preset target signal-to-noise ratio constraint; the transmitting sound power value is mapped to the closest power level in the discrete power level set by the receiving end to generate power level indication information; the power level indication information is embedded into an acknowledgement data packet by the receiving end and fed back to the transmitting end through a reverse data link; and the transmitting end analyzes the acknowledgement data packet and extracts the power level indication information to complete the configuration of the initial transmitting power. The application periodically senses the link quality, selects the optimal transmitting power level according to the distance between nodes and the channel state, ensures the accessibility of the communication link, and effectively reduces the energy consumption in the node communication process.

The invention discloses a converter station sound insulation and noise reduction type enclosure structure design method based on artificial intelligence, particularly relates to the field of converter station noise control, and is used for solving the problem that a scheme is mismatched with a station boundary target due to low frequency control difficulty and ventilation opening sound leakage in converter station enclosure structure design. The method comprises the following steps: acquiring an equivalent continuous sound level at a station boundary representative point according to a specification, recording an equipment operation state, comparing the equivalent continuous sound level with an existing predicted sound level in the same caliber to obtain a source item correction amount, and generating an equivalent sound power parameter set; then combining ventilation and heat dissipation constraint with an in-station arrangement boundary calculation discrimination index, adopting machine learning to comprehensively obtain a governance distribution coefficient, guiding an enclosure unit library to retrieve and generate an enclosure candidate combination and matched opening noise elimination configuration, and outputting constructable arrangement and node practice through sound field and heat ventilation check; therefore, the implementation and consistency of the design are improved.

The embodiment of the invention discloses a piezoelectric ultrasonic power meter and a measurement method thereof, and relates to the technical field of ultrasonic power measurement, and the method comprises the steps: building a probe total impedance model comprising a welding spot mass inertia load, parasitic capacitance, cable distribution inductance and distribution capacitance, and precisely correcting the mapping relation between voltage and sound pressure; self-adaptive correction parameters based on the effective area proportion of the probe to be measured and the receiving probe are introduced, and accurate measurement of probes of different sizes is achieved; the device comprises a precise three-dimensional mobile platform which is driven by a ball screw and is provided with a manual locking mechanism, and a special high-pass filter for suppressing low-frequency noise. The embodiment of the invention solves the problems of inaccurate measurement model, poor probe size adaptability, tedious operation, easy interference and the like in the prior art, and has the advantages of high measurement precision (error lt: 5%), wide application range, convenient and stable operation, strong anti-interference capability and the like.

The application discloses a ship pipeline noise prediction method, which comprises the following steps: S1, determining all elements in a target pipeline; S2, calculating the regenerated noise sound power level L wi of each element i in the target pipeline wi , wherein i is the number of the element; S3, determining the sound power level of a noise source in the target pipeline; sequentially calculating the sound power level L wi‑out of the noise after passing through each element i from the noise source, so as to obtain the sound power level after passing through the pipeline outlet; S4, obtaining the sound pressure level L p at a measuring point according to the positions of the measuring point and the pipeline outlet in a room. The method of the application can be carried out at the initial stage of ship design without detailed design parameters, avoids complex pipeline modeling, and has a simple and clear prediction process, high efficiency and low cost.

According to one embodiment, an acoustic control apparatus includes a processor. The processor calculates acoustic filter coefficients which are smaller in number than a plurality of sound sources, based on a first relational expression between acoustic filters applied to a voice signal containing information of voice reproduced by each of the sound sources, which is based on a sound increase control law that increases voice pressure at a sound increase control point by voices reproduced by the sound sources, and a second relational expression between the acoustic filters, which is based on an acoustic power minimization control law that minimizes acoustic power for voices reproduced by the sound sources. The processor applies the calculated acoustic filter coefficients to an input voice signal, and branch a voice signal to which a common acoustic filter coefficient is applied, into at least two of the sound sources.

The invention discloses a method and a device for calculating audible noise of a high-altitude high-voltage alternating-current transmission line under different rainfall. The method comprises the following steps: calculating to obtain the maximum field intensity of the surface of a wire according to the structural parameters and the operating voltage of a line; based on the maximum field intensity of the surface of the conductor, the structure parameters of the line and the air pressure and rainfall of the target area, calculating the single-phase conductor sound power level influenced by different meteorological parameters; and performing superposition calculation based on the single-phase conductor sound power level generated by the multi-phase conductor to obtain an audible noise L50 value of the multi-phase conductor under different rainfall.

The application discloses a kind of far-field noise prediction methods of multiple unit train, comprising: establishing multiple unit train model, multiple unit train model includes sequentially arranged head car, intermediate car and tail car, and intermediate car includes at least one compartment;Set head car, compartment and tail car as linear sound source of same sound power;Set sound receiving point, sound receiving point is located in one side of multiple unit train model, and with interval from multiple unit train model, the line of sound receiving point and the center point of multiple unit train model is perpendicular to the running direction of multiple unit train model, and the noise sound pressure intensity of sound receiving point is calculated.By calculating the noise sound pressure intensity of sound receiving point, finally obtain the relationship between the noise sound pressure intensity of sound receiving point and the number of multiple unit train model, realize the purpose of predicting the noise sound pressure intensity of sound receiving point by the number of multiple unit train model.

This invention provides a system and method for estimating and suppressing spatial noise using machine learning support. [Solution] The noise estimation and suppression method includes the steps of: estimating the probability of speech and noise for each band of the input audio signal using a machine learning classifier; estimating a set of averages of speech and noise or a set of averages and covariances of speech and noise based on the probability and microphone covariance over the bands using a directional model; estimating the average and covariance of noise power based on the probability and power spectrum using a level model; determining a first noise suppression gain based on the directional model; determining a second noise suppression gain based on the level model; selecting the first noise suppression gain or the second noise suppression gain or their sum based on the signal-to-noise ratio of the input audio signal; and scaling the time-frequency representation of the input signal by the selected noise suppression gain.

The invention discloses a noise spectrum prediction method, equipment and a medium, and relates to the field of design optimization. The noise spectrum prediction method comprises the following steps: acquiring a data set of sound power level spectrum data of an underwater vehicle based on numerical simulation; performing frequency spectrum order reduction on the acquired data set based on eigen-orthogonal decomposition, and screening modal coefficients with high energy ratio as output parameters; gradient prior information under the discrete sample condition in the data set after frequency spectrum order reduction is obtained based on a local linear regression gradient estimation method; a gradient-enhanced multi-output Gaussian process regression agent model is selected to construct a mapping relation between the control surface structure parameters of the underwater vehicle and the radiation noise sound power level spectrum according to the output parameters; and performing stern rudder flow noise spectrum prediction of the underwater vehicle according to the mapping relation. According to the noise spectrum prediction method, the flow noise spectrum of the stern rudder of the underwater vehicle can be rapidly and accurately predicted.

The invention relates to the technical field of sound power measurement, and discloses a device and a method for testing the sound power of a radial transducer of a circular tube, the device for testing the sound power of the radial transducer of the circular tube comprises a measuring device, an ADC module and a digital processing module, and the measuring device and the ADC module form a signal acquisition module; according to the device disclosed by the invention, a measurement environment with a controllable acoustic boundary is formed by constructing a closed acoustic cavity and combining a sound absorption material and degassing water, echo reflection is effectively inhibited, and the device does not need to depend on facilities such as a large-scale anechoic pool, can be used in a limited space such as a common laboratory or a detection site, and is high in practicability; the transducer positioning mechanism can realize precise positioning and fixing of the circular tube transducer, so that the consistency of a measurement reference is ensured, and the measurement precision is improved; the array type sensors are symmetrically arranged, and the distance can be dynamically adjusted according to the working frequency of the transducer to be detected, so that the spatial sampling requirement of near-field acoustical holography is met, and sound pressure signals can be accurately acquired.

The embodiment of the invention provides a valve cleaning method based on a composite ultrasonic field and related equipment, and belongs to the technical field of intelligent cleaning. According to the embodiment of the invention, the high-frequency and low-frequency synergistic composite ultrasonic field is constructed, and the power proportion is dynamically matched in combination with the structural characteristics of the filter screen, so that high-frequency sound waves effectively strip surface microparticles, and low-frequency sound waves enhance the penetrating power to the filter screen and the interior of a channel, thereby realizing efficient cleaning of each region of the valve cooling precision component, and improving the cleaning efficiency of the valve cooling precision component. And the residue removal efficiency and the cleaning uniformity are obviously improved. On the basis, a residue concentration real-time monitoring mechanism is introduced, ultrasonic power output is dynamically adjusted, self-adaptive regulation and control of the cleaning process are achieved on the basis that safe operation of equipment is guaranteed, cleaning energy consumption is further optimized, and controllability and stability of cleaning quality are improved.

Methods for fault prevention in electric drives in industrial automation, preferably comprising the following steps: 1.1 Detection of sound level signals inside the electric drive during operation with known sound propagation geometry and known distance to the sound source, 1.2 Continuous comparison of the sound power with a reference sound power and monitoring of the exceedance of the maximum sound energy value, 1.3 Continuously adding up the sound power over time when the sound power exceeds the reference sound power, 1.4 Continuous subtraction of the sound power over time when the sound power falls below the reference sound power, with a minimum value of zero, 1.5 Generating a warning or alarm when the maximum sound energy value is exceeded

The invention provides a particle swarm optimization algorithm-based distributed actuator and sensor real ship arrangement method, system and device and a storage medium, and belongs to the technical field of ship and ocean engineering noise control. The method comprises the following steps: establishing a ship sound-vibration coupling sub-model, and extracting structural dynamic characteristics by utilizing finite element software; obtaining an underwater radiation sound power level or sound pressure level under the action of a unit excitation or sweep frequency actuator by combining numerical analysis and experimental test, and further deducing a force-sound transfer function of each typical position; based on the quantitative sorting of the radiation efficiency of the installation positions of the actuators, the installation positions of the actuators are optimized; through vibration mode coupling and high-frequency local vibration characteristic identification, a small number of key vibration sensors are arranged. According to the method, the arrangement strategy of the actuator and the sensor is optimized through an intelligent arrangement strategy driven by PSO, the sound production efficiency is remarkably improved, meanwhile, the high precision of noise control and forecasting is ensured, and advanced theoretical and technical support is provided for ship acoustic performance optimization and intelligent monitoring.

This invention discloses an integrated acoustic-electric co-operated internal hole rolling tool, comprising a tool body, a two-dimensional ultrasonic system, a bidirectional cylinder, and a single-ball rolling head. The tool body provides a fixed connection for the entire tool. The two-dimensional ultrasonic system is located at the end of the tool body, providing ultrasonic vibration to the rolling tool. The bidirectional cylinder is located at the end of the two-dimensional ultrasonic system, providing the rolling force required for the rolling process. The single-ball rolling head is located at the end of the bidirectional cylinder, used for rolling the inner hole of the workpiece. An eddy current coil is also provided on the single-ball rolling head. This invention utilizes the principle of electromagnetic induction to achieve non-contact energization of the workpiece. During the rolling process, ultrasound and eddy currents are applied for multi-energy field synergistic processing, achieving better rolling results. The tool rotation and workpiece fixation mode enhances the versatility of acoustic-electric co-operated internal hole rolling, making it highly applicable to workpieces of various shapes and working conditions.