359 results about "Noise measurement" patented technology

Disclosed in the present application are a server, and an aerodynamic-noise and heat-dissipation optimization control system therefor. The system comprises a heat dissipation fan, a temperature measurement module, a noise measurement module, a power consumption measurement module, a controller and a phase-change air guide cover, wherein the aerodynamic area of the heat dissipation fan is adjustable; the temperature measurement module is used for measuring the temperature of a case; the noise measurement module is used for measuring the noise inside the case; the power consumption measurement module is used for acquiring a load requirement of a program currently running in a server; and the controller is used for adjusting the working condition of the heat dissipation fan, analyzing the lowest operating power of each server assembly on the basis of the load requirement when internal noise reaches a preset threshold value, and adjusting the current power of each server assembly on the basis of the lowest operating power. The phase-change air guide cover is used for guiding air and absorbing heat by means of a phase-change material.

The invention relates to the technical field of power systems, in particular to a transformer substation low-frequency noise source positioning method. The method comprises the following steps: obtaining a three-dimensional environment model of each structure in a transformer substation, and obtaining a geometric body topological relation matrix in the three-dimensional environment model; performing field measurement on the transformer substation to obtain noise measurement data; and performing outer convolution fusion on noise images between adjacent units according to the geometric topological relation matrix and the local noise image data, and iteratively spreading the noise images to the whole transformer substation area to generate initial sound source distribution estimation data of the whole transformer substation. The sound energy flow is utilized to analyze and identify the source position, the static source and the moving source are separated and tracked in combination with direction estimation and trajectory reconstruction, the static source can be accurately positioned, meanwhile, the motion trajectory of the moving source is obtained, and the separation efficiency is improved.

The invention provides a method and a system for testing noise of a hybrid electric drive assembly of a hybrid vehicle with a small-capacity battery. The method comprises the following steps: arranging a microphone at a noise testing point; arranging a vibration acceleration sensor at the vibration measuring point; under the pure electric working condition, the vehicle speed starts from 0 km / h, the motor torque is controlled through an accelerator pedal, slow acceleration is conducted at the motor torque of 30 Nm, 50 Nm and 70 Nm respectively till the electric quantity of a battery is consumed to the lower limit, and the hybrid working condition is started; synchronously recording vibration noise of each measuring point and motor rotating speed and torque data; working condition testing is carried out, and acceleration signals of all the vibration measuring points and sound pressure signals of all the noise measuring points under different working conditions are obtained; and analyzing and processing the test data, and confirming the noise source distribution and the noise source resonance frequency. According to the method, the electric drive howling can be effectively tested, analyzed and evaluated through specially set vibration noise test working conditions and data processing parameters of the electric drive assembly in the whole vehicle state of the hybrid power vehicle with the small-capacity battery.

The invention relates to the technical field of power distribution network fault monitoring, in particular to a fault monitoring method and system applied to a digital power distribution network. The method comprises the following steps: firstly, dividing each fault time period from a to-be-filtered time period; according to the difference condition of the fault responsivity of all the monitoring points in each fault time period, obtaining the noise measurement of the digital power distribution network in the to-be-filtered time period; adjusting the smoothing coefficient according to the noise metric, and obtaining the adjusted smoothing coefficient of the digital power distribution network in the to-be-filtered time period; performing filtering processing on the data set in the to-be-filtered time period by using the adjusted smoothing coefficient to obtain a filtered data set; and performing fault detection based on the filtered data set. According to the method, the adjusted smoothing coefficient of the digital power distribution network in the to-be-filtered time period is reasonably set, so that the noise reduction effect is improved, and accurate fault monitoring on the digital power distribution network is guaranteed.

The invention belongs to the technical field of underwater target radiation noise measurement, and particularly relates to a sparse combination array measurement system and method for underwater target radiation noise measurement, a program and a storage medium. A sparse combined array formed by a sound pressure spiral double-cone volume array with a sparse structure and a sound pressure vector nested vertical linear array is designed, a combined array frequency-division testing scheme of a high-frequency volume array and a low-frequency vertical linear array is adopted, a combined measurement method of a sound pressure hydrophone and a vector hydrophone is utilized, a measurement frequency band is extended, and the measurement precision is improved. And effective measurement of the full-band radiation noise of the underwater target is realized. Through a sparse array arrangement structure and an improved constant-beam-width beam forming method, a two-dimensional steady constant-beam-width beam is obtained while the number of array elements is reduced and the array complexity is reduced, and an appropriate main lobe width and a lower side lobe level can be adjusted according to a measured target and a measurement distance. According to the method, the array element redundancy of the measurement array is reduced, and the method can be flexibly applied to various application scenes of underwater radiation noise measurement.

The invention discloses a complex sound source noise characteristic identification method for a transformer substation, and the method comprises the following steps: S1, arranging an acoustic sensor in the transformer substation, carrying out the noise measurement of a key sound source through the acoustic sensor, and collecting the noise data in the transformer substation, including noise signals in different time periods and under different working conditions; according to the method, the time domain, frequency domain and spatial features of the noise signals are comprehensively extracted, so that multi-feature fusion and multi-dimensional noise feature recognition are realized, and the recognition accuracy of noise features of each sound source in the transformer substation is improved; a deep learning model is used for training a data set synthesized by noise signals and corresponding feature tags, so that the model can accurately identify noise characteristics of different sound sources, the accuracy of noise identification is improved, and the noise of a transformer substation can be monitored and identified in real time. And timely and effective information support is provided for noise treatment of a complex sound source of the transformer substation.

The invention relates to the technical field of noise measurement systems, in particular to a noise measurement system for a new energy tire, which comprises a tire positioning and driving unit, a sensor unit, a data acquisition and synchronization unit, a data processing unit, a data analysis unit and a man-machine interaction and display unit, the tire positioning and driving unit simulates different loads, different speeds and different road conditions of a tire by using a rack type tire positioning device, and drives the tire to rotate by using a brushless mute motor, so that a high-speed rotating effect without introducing extra mechanical noise is realized; the sensor unit is arranged on the two sides of the tire and at the position close to the ground through an acoustic sensor free field type condenser microphone array, is fixed to the suspension support through an acceleration sensor and is used for collecting vibration signals; the running states of the tire under different loads, speeds and road conditions are accurately simulated, noise data of the tire under various actual working conditions are obtained, and the measurement result is closer to the real situation.

The invention relates to a method for detecting self-moving objects in a motor vehicle, in particular using sparse or noisy measurement data (1, 2). It comprises detecting the surroundings of the motor vehicle, classifying (6) and indexing (8) self-moving objects, determining temporal offsets between current and time-shifted measurement data (1, 2), and extracting and transforming feature data. A transformer network and an attention mechanism are used to generate feature vectors (17) and assign cost values ​​(19) to them. These are then fed into an association function (20), which identifies self-moving objects based on the assigned cost values ​​(19). Based on this, a control device of the motor vehicle is controlled and / or a notification is provided to the driver.

The present invention relates to an apparatus and method for measuring acoustic excitation noise in a steam pipeline of a nuclear power plant. Multiple layers of sound absorption materials are arranged at the end in a shielding cavity close to a bottom side, and a flexible attaching mechanism is arranged at an opening of the shielding cavity; during measurement, the flexible attaching mechanism is attached to the outer wall of a steam pipeline of an nuclear power plant; the multiple layers of sound absorption materials isolate noise in an environment outside the shielding cavity; by means of a through hole, a microphone is placed in the shielding cavity for measurement, implementing non-destructive indirect measurement of noise in the steam pipeline of the nuclear power plant from the outside of the steam pipeline, and realizing the advantages of interference prevention and easy installation; the noise isolation of the shielding cavity and the multiple layers of sound absorption materials and the tight attachment of the flexible attaching mechanism on the pipe wall eliminate the impact of field environments on measurement; and the direct attachment of the shielding cavity to the pipe wall solves the problem that measurement cannot be carried out due to a narrow space size, realizing effective noise tests in high-temperature and high-pressure environments.

The invention provides a microwave signal phase noise measurement system, which is applied to the technical field of microwaves, and comprises a laser, a signal processing module and a signal processing module, the phase modulator is used for modulating a microwave signal to be measured onto an optical carrier to obtain a first modulation signal; the polarization beam splitter is used for inputting the first modulation signal into the time-delay optical fiber link for modulation through polarization-state beam splitting to obtain a modulated first modulation signal, and modulation comprises time delay and phase orthogonality control; the phase modulator is used for loading the microwave signal to the modulated first modulation signal to obtain a second modulation signal; the adjustable optical filter is used for obtaining to-be-processed optical signals with sideband information only containing positive first-order sideband information; the photoelectric detector is used for converting a to-be-processed optical signal into an electric signal; and the signal processing module is used for performing data processing on the electric signal to obtain the phase noise of the microwave signal to be detected. The invention further discloses a microwave signal phase noise measuring method, and bandwidth limitation caused by electrical devices is avoided.

The invention discloses a woodworking machine tool noise sound power level measurement method based on a sound intensity method, and belongs to the technical field of machine tool noise measurement, and the method specifically comprises the steps: determining a housing surface covered by a tool rotation plane projection as a main sound radiation region, and determining a main bearing pedestal installation surface as an infrasound radiation region; sound pressure, vibration acceleration signals and dynamic air pressure signals of a main sound radiation area are collected; resampling a dynamic air pressure signal rotation angle domain, extracting a reference pneumatic pulsating waveform synchronous with tool tooth sweeping, and establishing an airflow induced sound pressure model according to the reference pneumatic pulsating waveform and a phase relation; calculating a surface normal vibration speed according to the vibration acceleration, and establishing a structure radiation sound pressure model in combination with a sound wave equation; decomposing the sound pressure signal to obtain two types of component estimation values, and performing parameter optimization to obtain net sound intensity of a main sound radiation area; extracting vibration frequency band energy of an infrasound radiation area, calculating equivalent sound intensity by combining a sound radiation efficiency model, and outputting a total sound power level by space integration; the invention provides an effective method for accurately measuring and controlling the noise of the woodworking machine tool.

The invention discloses a self-supervised tomographic SAR (Synthetic Aperture Radar) reconstruction method based on orthogonal subspace decomposition. According to the method, a traditional single original space is reconstructed and expanded into a Range-Null-Raw triple space collaborative learning framework, an R2R and N2N principle-based self-supervised loss function is constructed by using an orthogonal subspace decomposition characteristic of a linear measurement operator, direct mapping learning from noise measurement data to a high-quality reconstruction result is realized, and the real-time performance of a real-time reconstruction system is greatly improved, so that the real-time performance of the real-time performance of the real-time performance of the real-time performance of the real-time performance of the real-time performance of the real-time performance is improved. Observable components are learned through Range space, unobservable components are learned through Null space, a cross constraint strategy of global consistency is ensured through Raw space, and the adaptability of the model to real measurement conditions is enhanced. The performance gap between simulation training and actual deployment in deep learning TomoSAR reconstruction is effectively solved, and a new solution is provided for reliable application of an unsupervised deep reconstruction network in a real TomoSAR imaging task.

The invention discloses a test method and a test system for electric drive noise of a semi-anechoic chamber of an electric vehicle rotating hub. The test method comprises the following steps: setting a noise test point; determining a test working condition; electrically-driven noise working condition testing is carried out in the rotating hub semi-anechoic chamber, and testing data are obtained; and performing data processing on the obtained working condition test data by using professional noise analysis software. According to the invention, noise measuring points and testing working conditions are determined, comparability of testing data is ensured, a data processing method is determined, validity of a data processing result is ensured, and product development requirements are met.

An integrated circuit device includes a multiplexor and multiple receivers for high-speed data communication interfaces. The multiplexor includes multiple signal inputs, a selector input, and a signal output. Each receiver includes a differential data signal input including a positive signal input and a negative signal input, a first termination resistor to terminate the positive signal input to a reference voltage node, a second termination resistor to terminate the negative signal input to the reference voltage node, and a noise measurement node to detect common mode noise at the reference voltage node, the noise measurement node coupled to an associated one of the signal inputs.

The invention discloses an HPLC (High Performance Liquid Chromatography) impedance and noise measurement method and system considering noise interference, and the method comprises the steps: connecting test equipment to a low-voltage power line through a standard line with a shielding layer, carrying out the superposition, coding and IFFT (Inverse Fast Fourier Transform) operation of test data information, and generating a time domain discrete signal; connecting a low-voltage line node to be tested with a reference load in series, and outputting a test signal to two ends of a circuit after series connection; the received test signal is subjected to analog signal processing, analog-digital conversion, digital signal processing, FFT operation, frequency domain data processing and information decoding, and then the amplitude and phase of impedance and noise of a test channel are obtained through calculation. According to the method, under the condition of considering noise interference, accurate measurement of noise and impedance is synchronously achieved, a one-time multi-frequency test signal generation technology different from common frequency sweeping is adopted, the measurement efficiency is high, the implementation complexity is low, power line impedance and noise data collection work is facilitated, and the communication success rate can be improved.

Provided are processes of balancing between exploration and optimization with knowledge discovery processes applied to unstructured data with tight interrogation budgets. A process may include determining a relevance probability distribution of responses and scores as an explanatory diagnostic. A distribution curve may be determined based on a probabilistic graphical network and a result may be audited relative to the distribution curve to determine noise measurements. The distribution curve may be determined based on a distribution of posterior predictions of entities to score ranking entity bias and noisiness of ranking entity feedback.

The invention discloses integrated intelligent monitoring equipment and method for dust, poison gas and noise. The equipment is characterized in that a mass flow controller, a flow pump and a flow limiting assembly are sequentially connected to a gas inlet pipeline in series; the first laser and the light trap are oppositely mounted inside the particle measurement chamber; the lens and the first laser are coaxially distributed, and the focus of the lens is located at the particle detection channel; the photoelectric sensing unit is mounted on the inner wall of the rear side of the particle measuring chamber; the filter and the sensing surface of the photoelectric sensing unit are coaxially distributed; the communicating pipeline is respectively connected with the particle detection outlet and the gas detection inlet; the filter membrane is connected in series to the communicating pipeline; the second laser and the multi-channel narrow-band detector are oppositely mounted inside the gas measuring chamber; the noise measuring unit comprises an MEMS microphone array; the method comprises the following steps: wearing a plurality of dust, poison gas and noise integrated intelligent monitoring devices on different individuals, and synchronously monitoring the levels of dust, poison gas and noise by using the dust, poison gas and noise integrated intelligent monitoring devices. The equipment and the method can be used for synchronously monitoring various pollutants.

The invention discloses a noise measurement and processing system and method, and relates to the technical field of noise measurement, the noise measurement and processing system comprises a noise data measurement module, a marine environment measurement module and a data acquisition and analysis module, the noise data measurement module is used for measuring noise data of a mariculture platform; the marine environment measurement module is used for measuring marine environment parameters; the data acquisition and analysis module is in communication connection with the noise data measurement module and the marine environment measurement module, and is used for acquiring noise data and marine environment parameters and obtaining arrangement point locations and measurement conditions of the noise data measurement module based on the marine environment parameters; and performing noise processing and analysis on the noise data. According to the method, the proper noise measurement point is obtained by collecting the marine environment parameters, various noise data are collected at the noise measurement point, noise analysis is carried out, and the accuracy of noise measurement and analysis of the mariculture platform is improved.

The invention provides a method for correcting influence parameters of an export type acoustic sensing system in a high-temperature environment, and relates to the technical field of detection sensing. The method comprises the following steps: firstly, acquiring a target original sound signal at a high-temperature jet device through an export type acoustic sensing system, and acquiring a reference sound signal under the same working condition by using a high-precision probe; performing fast Fourier transform on the target original sound signal and the reference sound signal to obtain a corresponding frequency domain signal; a standard signal emitted by a standard acoustic emitter is collected by using the same export type acoustic sensing system on a correction system, a test signal and the standard signal are compared by adopting a direct comparison method to obtain a frequency domain compensation signal, and the frequency domain compensation signal is synthesized with a frequency domain signal of a target original acoustic signal to obtain a correction acoustic signal of a tested target. Compared with a signal obtained by high-precision equipment, the corrected sound signal obtained by the method has the advantages that the precision loss is small, the cost is greatly reduced, and the method has wider temperature and size application scenes and has a good effect when being applied to noise measurement of an aero-engine in a high-temperature environment.

The invention provides a method for performing active power optimization in a multi-fan scene. A noise and delay processing mechanism and a model prediction control thought are combined, an NSGA-II algorithm is adopted to optimize a target function containing noise and delay, and it is ensured that a power distribution scheme has the anti-interference capability. The method comprises the following specific steps: firstly, collecting wind power plant operation data (such as wind speed and wind direction), and establishing a mathematical model for converting wind energy into electric energy; thirdly, establishing a fan spindle torque model and a tower thrust model, and analyzing the stress conditions of the fan spindle torque model and the tower thrust model; then, fatigue damage of a fan material is calculated, a noise measurement model is established to simulate random noise in sensor data, and a communication delay model is established to simulate delay in data transmission; and performing multi-objective optimization by using an NSGA-II algorithm, adjusting operation parameters of the fan, constructing a robust optimization model, and enhancing the anti-interference capability of the system. And finally, comparing an optimization result with an ideal condition without noise and delay, and evaluating an effect.

A method of determining residual intensity noise (RIN) of a sensor may comprise determining a first amplitude of a first harmonic of the sensor while a signal propagating through the sensor is modulated at a modulating frequency corresponding to twice an eigenfrequency of the sensor. The method may further comprise determining a second amplitude of a second harmonic of the sensor while the signal propagating through the sensor is modulated the modulating frequency, and determining the RIN of the sensor as a ratio of the first amplitude and the second amplitude.

The invention provides a phase noise measurement method and device, electronic equipment and a storage medium, and belongs to the technical field of test.The method comprises the steps that a signal to be tested is divided into a first signal and a second signal, frequency mixing processing is conducted on the first signal and a first reference signal, and a first real number signal is obtained; performing frequency mixing processing on the second path of signal and the second reference signal to obtain a second path of real number signal; splicing the first path of real number signal and the second path of real number signal to obtain a complex number signal; performing Fourier transform on the complex signal to obtain a frequency domain complex signal; separating a first frequency domain complex signal and a second frequency domain complex signal from the frequency domain complex signal; and performing cross-correlation operation on the first frequency domain complex signal and the second frequency domain complex signal to obtain a phase noise measurement result of the signal to be measured. According to the invention, Fourier transform is carried out on the complex signal, so that the data processing flow is simplified, the measurement efficiency is improved, and the cost is reduced.

The invention relates to the technical field of servo system control, in particular to a noise measurement suppression method and device based on axial angle tracking angular position estimation. The method comprises the following steps: determining a first measurement angle after sine transformation and a second measurement angle after cosine transformation based on the first measurement angle and the second measurement angle; simplifying the first measurement angle after sine transformation and the second measurement angle after cosine transformation to obtain a simplified first measurement angle and a simplified second measurement angle; based on the simplified first measurement angle and the simplified second measurement angle, determining a representation relation between a phase discriminator tracking error of the servo system and a phase-locked loop output angle; determining an input of the servo system based on the representation relationship; determining an estimated angle value based on the input of the servo system and a preset closed-loop transfer function; and controlling the servo system based on the estimated angle value. Therefore, the control precision of the servo system can be improved.

The invention provides a noise acquisition device and a noise measurement device of an operational amplifier. The noise acquisition device comprises a preset resistor matched with a target operational amplifier, a total noise acquisition circuit and a resistance noise acquisition circuit, the total noise acquisition circuit acquires the total noise of the current working environment and amplifies the total noise so as to output the amplified total noise to external preset measurement equipment; the resistance noise acquisition circuit acquires and amplifies first noise correspondingly generated by the preset resistor in the current working environment and carries out amplification processing so as to output the amplified first noise to preset measurement equipment. The total noise and the first noise are collected, the first noise is used for compensating the total noise to obtain the noise of the target operational amplifier, and the defects that measurement cannot be conducted due to the fact that the bottom noise of the spectrum analyzer is too large and the measurement accuracy is reduced due to the first noise are overcome; low-ripple positive and negative direct-current power supply voltage is provided, and the size is small; the spatial noise coupling interference is reduced, and the accuracy is improved.

The invention discloses a multistage modulation microwave signal phase noise measurement system and method, and the system comprises a laser light source module which is used for generating an optical carrier signal; the microwave signal module is used for generating a first path of microwave signal and a second path of microwave signal which are the same; the first input end of the first-stage modulation module is connected with the output end of the laser light source module, the second input end of the first-stage modulation module is connected with the output end of the microwave signal module, and the first-stage modulation module is used for loading the first microwave signal to the optical carrier signal to generate a first-stage modulation signal; the input end of the second-stage modulation module is connected with the output end of the first-stage modulation module, and the second-stage modulation module is used for carrying out time delay, phase orthogonality and polarization state modulation on the first-stage modulation signal and loading the second-path microwave signal to the modulated first-stage modulation signal; and the input end of the signal processing module is connected with the output end of the secondary modulation module, and the signal processing module is used for processing the secondary modulation signal to obtain the phase noise of the microwave signal.

The application discloses a time difference positioning method based on random robust least square, mainly solves the threshold effect of the existing time difference positioning method when the measurement error increases, and leads to the problem of sharp deterioration of positioning accuracy, and the implementation scheme is as follows: a plurality of observation stations and noise measurement errors are set, the time difference positioning equation is obtained by using the position parameters and the measurement errors, an auxiliary variable is defined, the auxiliary variable is introduced into the time difference positioning equation to establish a constraint equation, the constraint equation is processed by using a random robust least square method to obtain a cost function, the cost function is solved by using a least square method to obtain a target position, a new constraint equation is established according to the internal relation of the auxiliary variable elements, the new constraint equation is solved by using a weighted least square method to obtain a positioning error, the target position is linearly corrected by using the positioning error to obtain a final positioning result, and the target positioning is completed. The application reduces the positioning error, improves the positioning accuracy and the robustness of positioning, and can be used in aerospace, navigation and electronic warfare.

The invention discloses a noise measuring device which comprises a base, a detection support is installed on the base in a lifting mode, a support positioning structure is arranged on the base, supporting structures supporting each other are arranged between the bottom of the detection support and the base, the top of the detection support is sleeved with a supporting sleeve, and a plurality of supporting hanging rods are hinged to the periphery of the supporting sleeve. The supporting sleeve is provided with a limiting structure for limiting the maximum rotation angle of the supporting hanging rod, the supporting sleeve is provided with a locking structure locked with the detection support, the free end of the supporting hanging rod is provided with an externally-hung anemograph for detecting the wind speed, a noise meter and distance sensors, and the distance sensors are evenly distributed in the four directions of the supporting sleeve. A power supply assembly for driving the external anemograph, the noise meter and the distance sensor to operate is mounted on the supporting sleeve; the device can adjust the noise measurement height, detect whether echoes are generated around the device and detect whether the wind speed is suitable for noise measurement, so that the accuracy of noise measurement is ensured, and the practicability is improved.

The invention discloses a constant-temperature water bath kettle fractional order system parameter identification method with measurement noise, which comprises the following steps: acquiring input data and output data of a constant-temperature water bath kettle, judging whether pulse noise exists in the output data or not, and constructing a wavelet operation matrix based on a pulse noise judgment result; obtaining a non-periodic time-delay integral operation matrix according to the wavelet operation matrix, and converting the input data and the output data into an input data operation matrix and an output data operation matrix based on the wavelet operation matrix and the non-periodic time-delay integral operation matrix; judging whether Gaussian noise and local noise exist in the output data or not, adjusting a matrix coefficient in an operation matrix corresponding to the output data based on a judgment result, constructing a system model of the constant-temperature water bath kettle, and solving the adjusted system model to obtain an identification result of system model parameters of the constant-temperature water bath kettle. And reflecting the correlation between the input data and the output data of the constant-temperature water bath kettle through the system model of the constant-temperature water bath kettle with the identification result.

The present invention discloses an adjustable submersible noise measurement system, comprising an underwater instrument cabin, an optoelectronic transmission cable, an optical fiber hydrophone array, an expander, a mooring device, and a surface communication buoy. The optical fiber hydrophone array receives noise signals radiated by underwater targets and transmits the signals to the underwater instrument cabin via the optoelectronic transmission cable. The underwater instrument cabin is fixed to the seabed by the mooring device and connected to the surface communication buoy. The expander is fixed to the seabed by a hook anchor, and the optical fiber hydrophone array is adjusted by the expander to achieve horizontal deployment. The underwater instrument cabin and the expander are positively buoyant structures, thereby forming a trapezoidal structure underwater. The present invention utilizes the expander to retract and extend the optoelectronic transmission cable and hook anchor to control the entire array to be horizontal underwater and stabilize the array's posture. When the array's posture reaches the required posture for equipment testing, the expander stops working, and the equipment is now in a silent state and does not generate any noise, thereby reducing the impact of noise generated by the equipment itself.

The invention discloses a city design noise optimization method and system based on artificial intelligence, and the method comprises the steps: carrying out the preprocessing of building form and noise measurement data, and constructing a basic data set after noise simulation verification; a three-dimensional city model and a measuring point network are generated through a layered parameterization framework, the structural noise level is calculated, real-time verification is carried out in combination with planning constraints, and a structural design space, noise basic data and feasibility guarantee are provided; a two-stage multi-layer perceptron network is constructed, local building group acoustic influence and a global city noise mode are processed respectively, and high-precision noise prediction is achieved through training; and deploying a large language model as an optimization agent, and outputting an optimal scheme through multiple rounds of iterative optimization and evaluation. Compared with the prior art, the method has the advantages that the noise prediction precision is effectively improved, a structured design space is provided for parametric modeling, the feasibility is guaranteed through real-time verification, efficient iteration is achieved through large language model optimization, and compared with a traditional method, the efficiency is remarkably improved, and the labor cost is reduced.