999 results about "Noise pollution" patented technology

The invention relates to a method and a system for monitoring and analyzing regional noise. The method comprises the following steps: carrying out partition processing on a target area according to an acoustic environment function standard to obtain acoustic environment function area division data and determine a monitoring point position distribution matrix; noise data and environment parameter data are collected, timestamp alignment is carried out, and a multi-dimensional associated data set is obtained; performing spectral analysis and data compensation to obtain a noise feature vector, and performing standard exceeding judgment to generate audio recording data; inputting a voiceprint recognition model for classification to obtain a noise source type identifier, and performing positioning calculation to obtain a noise source space coordinate; carrying out space-time distribution statistics to obtain a functional area noise standard-reaching rate and calculating contribution degrees of various noise sources; and carrying out graded early warning judgment, and generating alarm information and a noise pollution prevention and control instruction. According to the embodiment of the invention, the whole-process automatic management of monitoring and early warning of regional noise is realized.

The invention discloses a heterogeneous sensing early warning system based on decoupling perception and adversarial robust learning, and the system comprises a feature extraction module which processes heterogeneous sensor original data collected in real time through a multi-layer decoupling encoder, separates target related features and environment interference features, and suppresses noise pollution from the source; the multi-dimensional collaborative fusion module adopts a cross-domain adversarial robustness learning framework to carry out space-time sequence alignment and deep fusion on decoupling features to generate high-robustness joint representation, and a data missing problem is processed through a cross-modal generative feature completion mechanism; and the cognitive enhancement closed-loop decision module constructs a cognitive heuristic confidence evaluation model based on joint representation, realizes graded early warning by combining real-time quality scoring and behavior prediction, and dynamically optimizes system parameters through a feedback mechanism. According to the method, the problems of poor target detection robustness, high delay and low accuracy in a complex dynamic environment are solved, the detection precision is remarkably improved, the false alarm rate is reduced, and the all-weather adaptive capacity is enhanced.

The invention relates to the technical field of electrical fault monitoring, in particular to an intelligent mobile substation electrical fault monitoring method, which comprises the following steps of: synchronously acquiring an electrical monitoring signal, a multi-dimensional environment noise signal and a dynamic working condition parameter of a mobile substation through a multi-source sensor; the method comprises the following steps: constructing an environmental noise floor vector group by adopting multi-scale spectrum mode decomposition, filtering an environmental noise interference component from an electrical monitoring signal through orthogonal projection filtering, and outputting a baseline correction signal; a working condition disturbance response field matrix is constructed based on time domain and frequency domain correlation analysis of dynamic working condition parameters, gradient sensitivity coefficients are calculated, and components strongly related to working condition disturbance and residual components weakly related to equipment faults are separated out; reconstructing the residual component into a pure fault feature vector; and finally, fault type diagnosis and risk early warning are carried out on the basis. The method effectively solves the problem of fault feature annihilation caused by noise pollution in a complex environment and the problem of false alarm and missing alarm caused by confusion of working condition disturbance and real fault signals.

The invention discloses an urban sound environment comprehensive treatment system based on the Internet of Things, which comprises a noise data monitoring and acquisition module, a noise data calculation and analysis module and a noise grading treatment module, and discloses an urban sound environment comprehensive treatment method. Real-time noise data monitoring and acquisition are carried out on specified urban areas, road sections and monitoring environments, and planning and layout can be carried out in the whole city; transmitting and preprocessing the real-time spectrum data by adopting a digital signal; determining the source of noise pollution on an established noise map by using a spatial positioning method according to the collected noise data through a set limit value; the method comprises the following steps: establishing a noise propagation mathematical model, analyzing a spatial relationship between noise data and a receptor, calculating and predicting noise levels of different areas, and comparing the noise levels with measured values; and different noise distributions are subjected to different-degree grading treatment according to the predicted value and the constructed noise map. According to the method, the performance of real-time noise monitoring and treatment feedback is improved.

The invention discloses a noise exposure evaluation method and system considering an unmanned aerial vehicle, and the method comprises the steps: obtaining urban environment data and unmanned aerial vehicle related data, carrying out the sound source modeling of the noise of the unmanned aerial vehicle, simulating the propagation of the noise of the unmanned aerial vehicle in an urban environment, and generating an unmanned aerial vehicle noise map; combining and calculating the unmanned aerial vehicle noise map and the current city noise map in combination with the current city noise map to obtain a city noise map; identifying crowd distribution conditions in different time periods and mapping the crowd distribution conditions to geographic space to form crowd distribution maps in different time periods, and performing feature identification and analysis on crowds in combination with multi-source data to obtain a crowd distribution map with crowd feature information; and according to the urban noise map and the crowd distribution map, calculating the total amount of regional noise pollution and the per capita noise pollution index, and calculating the noise exposure levels of different crowds. According to the method, the noise exposure evaluation method is perfected, and the space-time accuracy of unmanned aerial vehicle noise exposure evaluation is improved.

The invention discloses a road environment semantic segmentation method based on cross-modal difference modulation and a visual basic model, and the method is based on a DINOv3 visual basic model of a frozen weight, and introduces a complementary difference fusion module and a bidirectional context flow alignment module through the design of double-flow frozen coding and difference perception interaction. According to the method, a cross attention weight is generated by calculating a local high-frequency difference, so that transverse anti-noise complementation of RGB texture information and a Depth geometric structure is realized, and single-mode noise pollution is effectively inhibited; the two-way cross-scale alignment mechanism of top-down space mask guidance and bottom-up channel feature feedback is constructed by the two-way cross-scale alignment mechanism, and the scale barrier of deep and shallow layer features is broken. Therefore, joint feature representation with deep synergy of semantics and structures is obtained, inhibition of the model to environmental noise and reservation of tiny object details are balanced in a complex road scene, and pixel-level semantic segmentation with high generalization and high precision is realized.

A plant (01) for manufacturing electric or hybrid vehicles, the plant (01) comprising, on one site, at least one assembly space (10) for the vehicles, in which no operation of transforming steel is carried out, thereby largely eliminating toxic emissions, the production of chemical waste, noise pollution, vibrations, dust and water consumption, with the result that the plant can be installed in the vicinity of or in residential areas.

The invention discloses a heat dissipation control method for a liquid cooling machine, which generates a feedforward signal according to a given load of a charging pile, predicts a gun line temperature set value, adjusts the flow velocity of liquid cooling oil in advance, and solves the hysteresis problem of an existing heat dissipation system. According to the method, a cascade control system with a feedforward feedback function is adopted, an outer-layer slow loop and an inner-layer fast loop work cooperatively, the load change of the charging pile can be quickly responded, and the gun line temperature is maintained within a safe range. Compared with a traditional heat dissipation mode, the heat dissipation efficiency is improved, the response speed is increased, the stability and safety of equipment operation are enhanced, meanwhile, noise pollution is reduced, and the overall performance and economical efficiency of the system are improved.

The invention relates to a vehicle-based prompt tone generation method, device and equipment and a storage medium. The method comprises the steps of obtaining preset sound source data, external white noise source data and internal white noise source data of a vehicle; the external white noise source data represents white noise which is collected outside the vehicle and emitted by an external loudspeaker within a preset frequency band range; the in-vehicle white noise source data represents white noise which is collected in the vehicle and emitted by a loudspeaker outside the vehicle within a preset frequency band range; determining a transmission loss frequency band according to the white noise source outside the vehicle and the white noise source inside the vehicle; the transmission loss frequency band represents the frequency band with loudness loss when the white noise is transmitted from the outside of the vehicle to the inside of the vehicle; and generating a prompt tone according to the preset sound source and the transmission loss frequency band. On the basis of the preset sound source, the warning tone is obtained in combination with the isolation condition of the white noise, and noise pollution of the warning tone to people in the vehicle is reduced.

The invention relates to a community low altitude-oriented aircraft path planning and traffic capacity evaluation system. The system comprises an airspace facility modeling module, a facility relation judgment module, a hierarchical airspace segmentation module, a noise-speed-safe distance constraint calculation module, a dynamic obstacle marking module, a multi-target path planning module and a bottleneck identification and traffic capacity evaluation module. The method comprises the following steps: modeling airspace facilities, and judging a facility relationship based on spatial geometric attributes and function use requirements of the facilities; performing hierarchical grid division on the low altitude of the community, calculating a safety distance along the movement direction and a safety distance perpendicular to the flight direction, and performing obstacle marking on grids around the building based on the safety distances and the flight direction; and performing path search based on an improved A * algorithm, identifying a bottleneck region, extracting parameters, and calculating the maximum allowable speed of the bottleneck region and the total traffic capacity of the bottleneck region. The system can relieve environmental troubles such as safety compliance dispute and noise pollution caused by operation of the low-altitude aircraft.

The invention discloses a de-noising-oriented departure flight path optimization method, which belongs to the technical field of airport noise pollution prevention and control, and comprises the following steps: obtaining atmospheric environment data of an aircraft departure area, and constructing a departure aircraft performance model; correcting the NPD data according to the atmospheric attenuation rate, and correcting the noise value to obtain a real-time noise correction value of the aircraft; establishing aircraft performance constraints; combining the population density of each noise observation point to obtain a real-time population noise influence index; and according to a dynamic window method and a genetic algorithm, the speed and the flight path angle of the aircraft at each moment are optimized, and an optimal departure flight path oriented to noise reduction is obtained. The problem that an aircraft noise reduction departure scheme is not flexible and efficient enough is solved.

The utility model discloses a noise reduction type integrated power distribution cabinet, which relates to the technical field of power distribution cabinets and comprises a cabinet body, a cabinet door, a control meter and an indicator light are arranged on the outer side of the cabinet body, and an automatic heat dissipation assembly, sound insulation cotton and an installation assembly are arranged in the cabinet body. According to the noise reduction type comprehensive power distribution cabinet, the sound insulation cotton is rapidly installed through the installation assembly, so that the cabinet body has a noise reduction effect in the use process, and noise pollution to the surrounding environment is avoided; the temperature inside the cabinet body is monitored in real time through the temperature sensor, when the temperature inside the cabinet body is higher than a set value, the motors are started through the control circuit board, the output ends of the four sets of motors drive the fan blades to discharge the temperature inside the cabinet body, and therefore heat dissipation is conducted in time, and when the temperature is lower than the set value, heat dissipation is conducted. And the control circuit board controls the motor to stop running, so that an energy-saving effect is achieved.

The present invention relates to the technical field of electric fault monitoring, and specifically to an intelligent mobile substation electric fault monitoring method. The method synchronously collects electrical monitoring signals, multi-dimensional environmental noise signals and dynamic operating parameters of the mobile substation through multi-source sensors; adopts multi-scale spectral modal decomposition to construct an environmental noise basis vector group, filters out environmental noise interference components from the electrical monitoring signal through orthogonal projection filtering, and outputs a baseline correction signal; constructs an operating condition disturbance response field matrix based on time domain and frequency domain correlation analysis of dynamic operating condition parameters, calculates gradient sensitivity coefficients, separates components strongly correlated with operating condition disturbances and residual components weakly correlated with equipment faults; reconstructs the residual components into pure fault feature vectors; and finally performs fault type diagnosis and risk warning based on the pure fault feature vectors. The method effectively solves the problem of fault feature annihilation caused by noise pollution in complex environments, and the problem of false alarms and missed alarms caused by confusion between operating condition disturbances and real fault signals.

The utility model relates to the field of power transformation engineering sound barriers, in particular to a power transformation engineering movable noise reduction barrier capable of being patrolled externally, which comprises a plurality of steel columns, a steel bottom beam positioned at the lower sections of the steel columns and a steel top beam positioned at the upper sections of the steel columns, and the plurality of steel columns, the steel bottom beam and the steel top beam form a sound barrier frame. A sound barrier plate is arranged between every two adjacent steel columns, and the sound barrier frame and the sound barrier plates form a noise reduction barrier. The sound barrier construction period of the transformer substation and the converter station is shortened. According to the utility model, on-site material, machine tool and personnel investment is reduced, construction waste emission is reduced, noise pollution is reduced, and carbon emission is reduced. Daily patrol of operators is facilitated, the device can be quickly moved when the device needs to be carried during maintenance, a channel is reserved for carrying the device, the power failure time is effectively saved, and the working efficiency is improved. The technical problems that the construction period is long, resources are wasted, pollution is serious, and replacement and carrying are inconvenient can be solved.

The present invention discloses an active noise reduction method and device for a vehicle. The active noise reduction method includes: generating a reference signal according to a target noise to be reduced, and generating a control signal fed to a sound reproduction device; filtering the reference signal, calculating a noise signal based on an error signal, and updating an auxiliary control parameter; updating the error signal according to the filtered reference signal, the noise signal, and the auxiliary control parameter; and updating the control parameter according to the updated error signal and the auxiliary control parameter. The present invention can reduce the in-vehicle noise pollution and has a relatively fast convergence speed.

The utility model discloses a vertical crusher for ore treatment, which comprises a case main body, the top of the case main body is provided with a feed inlet, two sides of the feed inlet are provided with spray sprinklers, a shell of the case main body is provided with a sound insulation layer made of sound insulation cotton, two rotor frames are rotatably arranged in the case main body, and the rotor frames are provided with a plurality of rotor blades. A partition plate is fixedly arranged between the two rotor frames, a plurality of conical thorn blocks are fixedly installed on the partition plate and the inner wall of the machine box body on the periphery of the rotor frames, a plurality of plate hammers are fixedly installed on the outer walls of the rotor frames, and a pair of rolling wheels are rotationally arranged in the machine box body and below the rotor frames. The device can be conveniently moved by arranging the supporting wheels, noise generated during ore crushing is absorbed by arranging a sound insulation layer, noise pollution is reduced, and dust can be reduced by spraying water mist through a spraying shower head.

The invention relates to the technical field of engineering machinery, and discloses an assembly type mobile operation platform with an intelligent early warning function, which comprises two parallel steel rails, the lower parts of the steel rails are fixedly connected to a structural floor, the upper parts of the steel rails are movably connected to a rail-mounted beam through rollers, the rollers are arranged on the two sides of the rail-mounted beam, and the steel rails are connected to the structural floor. Two parallel main beams are arranged above the rail-mounted beam, stand columns are fixedly connected to the rail-mounted beam, cameras and audible and visual alarms are arranged on the stand columns, the cameras are externally connected with an intelligent video analysis system, the main beams are fixedly connected with secondary beams through high-strength bolts, a steel plate is arranged above the secondary beams, and a protective sound insulation screen is arranged above the steel plate. Safety behaviors of workers are standardized, high-altitude falling accidents are avoided, noise pollution of a construction site is relieved, vibration of the working platform during starting and stopping is relieved, and health and safety of the workers are guaranteed.

The invention discloses a simulation analysis method and system for transformer vibration noise under direct current magnetic bias, and the method comprises the steps: building a transformer geometric model, and carrying out the mesh generation of the transformer geometric model; external excitation of the transformer is set in the field-circuit coupling model of the transformer under the direct-current magnetic bias condition, and magnetic density distribution of the transformer under different magnetic bias currents is obtained through simulation; in the transformer electromagnetic structure coupling model, calculating to obtain vibration acceleration of the transformer under different bias currents; the vibration acceleration of the transformer serves as excitation, and sound pressure levels around the transformer under different bias currents are calculated; and analyzing the influence rule of different bias currents on the vibration noise of the transformer through the characteristic quantity of the frequency spectrum signal. According to the invention, the vibration noise characteristics of the transformer under different magnetic bias currents can be accurately simulated, and technical support is provided for judging whether the transformer has a direct current magnetic bias phenomenon or not. The method can improve the evaluation efficiency and simulation accuracy, and improve the noise pollution and overall performance of the transformer.

The invention provides a new energy electric drive system noise evaluation method and system, an evaluation electronic device and a storage medium. The method comprises the following steps: determining parameters of a tested electric drive system; acceleration and deceleration signals are measured through a vehicle speed signal to control the rotating speed and the torque of a motor of the electric drive system so as to truly reflect the actual use condition of the electric drive system. Acquiring a noise sound pressure signal of a corresponding frequency; converting the collected noise sound pressure signal into an A weighting sound pressure level; determining an equivalent continuous sound level according to the A-weighted sound pressure level; determining noise exposure according to the collected noise sound pressure signal; and performing noise evaluation according to the A-weighted sound pressure level and the noise exposure, and when the evaluation determines that noise pollution is generated, determining the noise pollution level according to the A-weighted sound pressure level and the equivalent continuous sound level. According to the method, the noise level of the new energy electric drive system can be evaluated more objectively.

The invention discloses a non-Gaussian noise pollution spiral shaft rod type part measurement signal processing method, which can realize reliable purification of measurement signals, stable separation of bending deviation and spiral raceway morphology items and fitting reconstruction when pollution such as heavy tails, multiple peaks, burrs and sheet abnormal points exists. The method comprises the following steps: acquiring and synchronously registering measurement data of rotation and axial movement, establishing a joint fitting model for decomposing readings into deformation items and spiral raceway morphology items, and expressing the morphology items by multi-order harmonics, and a three-stage process is adopted to complete baseline establishment and coarse elimination, phase locking and fine filtering in sequence, and the harmonic order of the optimal spiral raceway morphology item is determined in a self-adaptive manner and finally reconstructed. The invention provides an effective solution for the problems that the continuous rotary scanning measurement signal of the spiral shaft rod type part is unstable in recovery and is easy to distort in reconstruction under the non-Gaussian noise pollution.

The invention relates to the technical field of industrial safety, and discloses an electrolytic aluminum short circuit port key operation parameter online monitoring and explosion safety protection system which comprises a parameter real-time monitoring module, a threshold activation judgment module, a digital twin modeling module, a risk dynamic prediction module, a protection decision analysis module and an intervention scheme execution module. By constructing a multi-source signal cooperative verification mechanism, when short-circuit parameters are monitored in real time, a self-adaptive digital filtering algorithm is adopted to dynamically match magnetic field intensity and temperature disturbance characteristics, noise stripping and baseline calibration are carried out on original voltage and current signals, the monitoring accuracy of core parameters such as short-circuit resistance is ensured, false alarm triggering is avoided, and real-time monitoring of the short-circuit parameters is realized. And meanwhile, by establishing a parameter credibility scoring model, when signal distortion exceeds a tolerance threshold, a standby sensing channel is automatically switched, so that the risk of production interruption caused by noise pollution is further reduced, and the anti-interference capability and the operation stability of the system are improved.

The invention discloses an audio signal measurement method and device, an electronic device and a storage medium, and relates to the field of audio signal measurement, and the method comprises the steps: deploying a detection microphone nearby a tested device, and arranging a reference microphone in a noise field, so as to synchronously collect a mixed signal containing a test signal and noise, and a pure ambient noise reference signal. After the noise of the two signals is subjected to correlation evaluation and the consistency of noise sources is confirmed, dynamically changing noise components are accurately stripped from the signals of the tested equipment by utilizing real-time noise data acquired by the reference microphone and through an adaptive noise cancellation algorithm, so that pure test signals are restored. Therefore, the problem of non-stationary noise pollution is solved through an active signal processing means instead of depending on imperfect physical sound insulation, and accurate and efficient measurement of the performance of the microphone in a noisy environment is realized.

The invention relates to a shock explosion expelling device combining rare earth special ceramic with a cicada wing type vibrating diaphragm, which comprises a shell, the lower end of the shell is connected with a base through an up-down angle adjusting assembly and a horizontal angle adjusting assembly, a piezoelectric buzzing sounding body is arranged in the middle of the front end face of the shell, and the piezoelectric buzzing sounding body comprises a buzzing tube. A buzzer tube is arranged in the shell, a piezoelectric buzzer element is arranged at one end of the buzzer tube, a loudspeaking channel is arranged at the other end of the buzzer tube, a resonance cavity is formed in the buzzer tube, a 360-degree image acquisition assembly is further arranged on the lower middle portion of the shell, and an image processing module, a DSP processor and a D-type power amplifier module are further arranged in the shell. The directional transmission of high-energy sound waves is realized through the sound wave directional dispelling technology, so that a target can be dispersed in a farther distance, meanwhile, due to the directional transmission of the sound waves, the noise pollution of the sound waves to the environment is reduced, and the sound wave directional dispelling technology can be used for repelling birds in airports and farmlands, so that the problem that no effective bird repelling means exists at present is solved.

The invention relates to the technical field of audio signal processing, and discloses an industrial noise identification method and system, and the method comprises the steps: obtaining an audio signal, and carrying out the time-frequency decomposition, and obtaining preliminary decomposition data; classifying the coupling features of the preliminary decomposition data to obtain a coupling region boundary value; if the boundary value of the coupling region exceeds a preset boundary threshold value, performing filtering processing to obtain separated noise spectrum data; calculating an overlapping proportion of the separated noise spectrum data and a preset target sound; if the overlapping proportion causes extraction deviation, extracting dynamic change characteristics of the separated noise spectrum data and fusing the dynamic change characteristics into a spectrum extraction process to obtain an accurate noise spectrum; calculating an intensity value according to the accurate noise spectrum, and determining an intensity evaluation result; and comparing the intensity evaluation result with a preset pollution threshold, calculating a noise pollution degree and outputting a noise identification result. The method is suitable for industrial environment noise monitoring, and can accurately extract the noise spectrum.

The invention relates to a fan self-adaptive smooth speed regulation method for complete machine equipment, and belongs to the technical field of heat dissipation of communication equipment. Comprising the steps that when a main control board card is not started when complete machine equipment is powered on, a fan unit conducts speed regulation by switching gears in a self-speed-regulation mode according to the temperature range of an air inlet; when the fan unit receives the main and standby signals sent by the main control board card, whether receiving of duty ratio information sent by the main control board card by the fan unit is overtime or not is judged; if it is judged that receiving of the duty ratio information by the fan unit is overtime, the fan unit quits the self-speed-regulation mode, and speed regulation is conducted in a three-pin mode; and if it is judged that receiving of the duty ratio information by the fan unit is not overtime, the fan unit quits the self-speed-regulation mode, and speed regulation is conducted in the duty ratio mode. The self-speed-regulation mode, the duty ratio mode and the three-pin mode can be converted in a self-adaptive smooth mode, the smoothness of speed regulation of the fan unit in the conversion process is ensured through the master-slave mode, and noise pollution is optimized while the safety of the speed regulation function is fully ensured.

The invention provides a vehicle whistling control method and system, and the method comprises the steps: obtaining the environment noise data of a vehicle, and determining a reference whistling parameter according to the environment noise data; in response to a whistling instruction sent by a driver, acquiring the duration of the whistling instruction, and marking the whistling type of the whistling instruction according to the duration; under the condition that the whistling instruction is short whistling, the whistling loudness and the whistling tone are set according to a first rule, and the first rule comprises at least one of reference whistling parameters, the vehicle speed, the vehicle position and a vehicle front pedestrian sign; under the condition that the whistling instruction is long whistling, the whistling loudness is set to be first loudness, the whistling tone is set to be first tone, the first loudness is larger than the reference loudness, and the first tone is higher than the reference tone. According to the method, the whistling loudness and tone can be adjusted according to the vehicle whistling duration, the vehicle speed, whether the vehicle is in the no-whistling area or not and whether pedestrians exist in front of the vehicle or not, and then noise pollution is reduced.

The invention discloses an electric whistle control method and device of a rail train, a medium and the rail train. Relates to the field of rail trains and solves the problem of noise pollution caused by untimely whistling and untimely whistling volume adjustment. Whether the vehicle is in an operation state needing whistling or not is judged through the vehicle operation information, and whether the vehicle is driven into a whistling range or not is preliminarily judged according to the line information and the positioning information; if whistling is needed, the whistling volume is further determined according to the day and night information, different whistling scenes correspond to different whistling modes, and specific high and low sound automatic control is carried out. The whistling volume is automatically adjusted according to day and night information, noise interference to surrounding residents is reduced, the environmental protection requirement is met, manual whistling operation of a driver is reduced, misoperation or missing operation caused by human factors is avoided, and the driving safety is improved.

The embodiment of the invention relates to a noise reduction device and power equipment. The noise reduction device comprises an air duct structure and a first expansion chamber. The air duct structure includes an air duct wall defining an air duct including an inlet and an outlet. The air duct wall comprises a first wall, and a first hole is formed in a first area of the first wall. The first expansion chamber is adjacent to the first wall of the air duct structure and comprises a first expansion chamber wall, the first expansion chamber wall and the first wall define a first space, and the first space communicates with the air duct through the first hole. The first aperture is configured such that acoustic impedance within the duct increases at the first region by an amount exceeding a first threshold to prevent acoustic waves of a first frequency band entering the duct through the inlet from passing through the outlet. Through the technical scheme of the embodiment of the invention, the noise emitted by the noise source can be effectively reduced, and the noise pollution of the environment is reduced.

The invention discloses a BIM-based existing building parameterization design method, and particularly relates to the field of building optimization design, and the method comprises the following steps: firstly, carrying out the data collection of an existing building, building a BIM model, simulating the daily use condition of the BIM model, and obtaining a noise data set of each region; judging whether noise pollution exists or not through the noise data, if yes, dividing the area into pollution areas, and summarizing the data to generate a pollution information set; performing clustering analysis based on the information set, generating a pollution level form, and generating a comprehensive pollution coefficient by using a pre-trained machine learning model; and selecting average or maximum noise as an optimization target according to the coefficient, finding an optimal optimization parameter combination by using a genetic algorithm, and finally forming an optimization design scheme of the whole building. According to the method, differentiated design of different noise level areas is guaranteed, the forced sound insulation requirement of a high-noise area can be met, and an area with low noise can be moderately optimized.

The invention provides a sound insulation type dry-type transformer, and relates to the technical field of dry-type transformers, the sound insulation type dry-type transformer comprises a base, a shock absorption and noise reduction structure is installed on the upper end face of the base, a lower clamping piece is connected and installed at the top of the shock absorption and noise reduction structure, and a transformer body is installed above the lower clamping piece; an upper clamping piece is installed on the top of the transformer body, a circulating water cooling structure is further installed on the upper end face of the base, and the circulating water cooling structure is connected with the outer portion of the transformer body in an attached mode. The sound insulation type dry-type transformer can effectively solve the problems that in the prior art, when the dry-type transformer works, certain noise pollution can be caused to the nearby environment, the heat dissipation and cooling effects of the dry-type transformer are poor, and the situation that dust and impurities are prone to being blocked at the position of a fan in an air cooling heat dissipation structure of the dry-type transformer, so that noise generated when the fan works is greatly increased, and the service life of the dry-type transformer is prolonged. And the heat dissipation and cooling effects are greatly reduced, so that the overall service life of the transformer is shortened.