38 results about "Acoustic pollution" patented technology

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.

This invention discloses an intelligent aging cabinet for an automatic aging system in the audio industry, relating to the field of aging equipment technology. The aging cabinet body has an inlet and an outlet on opposite sides. A first and second isolating component intermittently unblocks either the inlet or outlet. During the process from when the audio product enters the aging station to when the aging cabinet body outputs the audio product that has completed the aging test, at least one of the first and second isolating components, together with the aging cabinet body, isolates the internal environment of the aging cabinet body from the external environment. This reduces noise pollution to the surrounding environment. Thus, while some audio products are still undergoing aging tests inside the aging cabinet, some audio products that have completed the aging test can be output from the aging cabinet body, while simultaneously inputting some audio products awaiting aging tests into the aging cabinet body. This shortens the waiting time for inputting and outputting audio products, resulting in higher overall efficiency when aging tests are performed on batches of audio products.

The present application relates to the technical field of coal mine machinery and equipment, and discloses a special extractor for coal mine cutting head pick, which comprises a connecting rod, a baffle is fixedly connected to the connecting rod, a buffer assembly is arranged on one side of the baffle, a flail is slidably sleeved in the middle of the connecting rod, a shovel type steel plate is fixedly connected to one end of the connecting rod away from the baffle, a protection assembly is arranged on one end of the connecting rod close to the shovel type steel plate, and a power assembly and a transmission assembly are arranged in the protection assembly; the buffer assembly is arranged, the cylindrical limiting structure of the protective sleeve and the sound insulation pad on the inner side are used, so that the flail is always limited in the protective sleeve during the sliding and impacting process, the hands of the operator are effectively prevented from being pinched, the sound insulation pad can greatly absorb the high-frequency metal noise generated when the flail impacts the baffle, the defects that the flail is completely exposed in the traditional extractor, the extrusion injury is easily caused, and the noise pollution is serious underground are made up for, and the safety and operation comfort of the extraction operation are significantly improved.

The invention relates to the technical field of building external envelope structures and green building energy conservation, in particular to an acoustic super-structure composite unit and a glass curtain wall, the acoustic super-structure composite unit comprises a first substrate, a second substrate and a middle substrate arranged between the first substrate and the second substrate; a local resonance module is arranged on the middle-layer substrate; a through hole is formed in the middle-layer substrate; a frame structure is further included; a first convex edge and a second convex edge are arranged on the frame structure; by integrating the photovoltaic module, the local resonance module, the middle-layer substrate and the thermal insulation layer formed by aerogel, on the premise that the thickness and the weight are not remarkably increased, the problem of function mutual exclusion among broadband noise pollution, heat loss and energy self-sufficiency is solved, and the thermal insulation effect is improved. And collaborative improvement of multi-physical field performance is realized.

The invention relates to the field of image data processing, in particular to a ring-scan sonar two-dimensional imaging data processing method and system, and the method comprises the steps: obtaining a ring-scan sonar image, carrying out the superpixel segmentation of the ring-scan sonar image, taking any superpixel block as a target block, calculating the average noise pollution degree and the average echo signal intensity of the target block, and obtaining the ring-scan sonar two-dimensional imaging data. Taking the ratio of the average echo signal intensity to the average noise pollution degree as the comprehensive weight of a target block, taking the comprehensive weight of the target block as the comprehensive weight of each pixel point in the target block, and traversing to obtain the comprehensive weight of each pixel point of each super-pixel block, constructing a weight map aligned with the ring scan sonar image according to the comprehensive weights of all the pixel points of all the superpixel blocks; and taking the ring scan sonar image and the weight map as dual-channel input of a preset detection model to obtain a detection result. According to the invention, the target detection precision of the ring scan sonar is improved.

This invention discloses a multi-layer composite sound-absorbing device. The double-layer micro-perforated plate of this invention includes an upper micro-perforated plate and a lower micro-perforated plate, which are connected by a disc spring device. The upper and lower micro-perforated plates are connected around their perimeter by a frame, ensuring the disc spring device between them is compressed. The density gradient porous sound-absorbing material layer is composed of at least two layers of sound-absorbing material with different densities stacked together. This multi-layer composite sound-absorbing device is composed of resonant and resistive sound-absorbing materials, achieving excellent low-frequency broadband sound absorption, effectively solving low-frequency noise pollution problems in substations, converter stations, and other fields. By adjusting the plate spacing to change the compression state of the disc springs, different stiffness characteristics are obtained, thereby enhancing the resonant sound absorption effect for specific frequency bands of noise and specifically improving the sound absorption coefficient of the device for specific frequency bands of noise.

The utility model provides a sound amplification unit capable of controlling a sound field range. The sound amplification unit comprises a sound gathering cover and a linear sound source sound post arranged in the sound gathering cover. The line sound source sound columns comprise medium-high frequency sound columns and low-frequency sound columns which are arranged back to back, and the low-frequency sound columns face the opening direction of the sound gathering cover. The cross section of the sound gathering cover is in the shape of a first-order parabola or a second-order combined parabola. The sound amplification unit forms a sound field control system, realizes effective control of the diffusion range of sound waves, and can effectively reduce sound pollution and sound interference caused by sound leakage and sound staining.

The invention discloses a ducted unmanned aerial vehicle, and relates to the technical field of electric vertical take-off and landing aircrafts, the ducted unmanned aerial vehicle comprises a fuselage and a propulsion assembly, the front side and the rear side of the fuselage are provided with a front battery bin and a rear battery bin respectively, the propulsion assembly comprises ducts arranged on the left side and the right side of the fuselage, and motors are arranged at the bottoms of propellers; the motors are electrically connected with batteries in the front battery bin and the rear battery bin through wires, the motors are connected with a flight control system, and the flight control system is used for controlling the rotating speed of all the motors and the thrust direction of all the propelling assemblies. According to the duct type unmanned aerial vehicle, the duct serves as a natural sound barrier, noise generated by the propeller can be reduced, the duct directly radiates noise outwards by restraining blade tip vortex, wake flow is smoothly restrained to reduce turbulence noise, and the multiple blades and the small diameter of the propeller are matched with an acoustic liner to absorb noise in the high-frequency range; therefore, the noise pollution problem of the unmanned aerial vehicle is obviously improved in multiple modes.

This invention proposes for the first time a high-modulus, high-resilience lightweight material. It introduces a dissipative cavity with nanoscale wall thickness within a high-density graphene honeycomb framework prepared by freeze-drying using solvent plasticizing foaming technology. This nanoscale wall thickness provides strong resistance to deformation and allows for reversible elastic buckling deformation along the direction perpendicular to the load under load, thus exhibiting high strain recoverability at high modulus. The prepared lightweight graphene bulk material shows great potential for multiple protections against electromagnetic radiation, high temperatures, and noise pollution, and can be used as a multifunctional structural material in engineering applications.

The utility model discloses a fixing frame of a noise pollution microphone, which relates to the technical field of microphone fixing and comprises a supporting part and a clamping part. The supporting part comprises a supporting seat, supporting legs and the like, the supporting legs can be expanded to increase the supporting area by supporting linkage structures such as adjusting knobs, and an arc-shaped groove in the bottom of the supporting part can increase the ground friction force. The clamping part is adjustably arranged on the supporting seat, the height is adjusted through the first clamping adjusting knob, the angle and direction of the microphone are adjusted through the cooperation of the second clamping adjusting knob and a related structure, the microphone can be stably clamped through the silica gel material on the clamping block, and the top clamping baffle can prevent rainwater erosion. The fixing frame solves the problems that an existing fixing frame is insufficient in stability, inconvenient to adjust and poor in protection performance, and has the advantages of being high in stability, flexible and accurate to adjust, capable of prolonging the service life of equipment and the like.

The application discloses an aviation electromagnetic data processing method and system based on a ground reference point, and comprises the following steps: arranging a transmitting source, collecting first response electromagnetic data corresponding to a plurality of air measuring points; selecting a plurality of ground reference points along the direction of the transmitting source, collecting second response electromagnetic data; performing forward simulation on the first response electromagnetic data after preprocessing, and obtaining a difference value between the ground and the air; loading the difference value into the second response electromagnetic data, and obtaining a reference correction value of any air measuring point in a to-be-detected region by using an interpolation method to obtain third response electromagnetic data; presetting an amplitude difference threshold, comparing the amplitudes of the first response electromagnetic data after preprocessing and the third response electromagnetic data, obtaining a frequency range of motion noise pollution corresponding to an amplitude difference greater than the amplitude difference threshold; and in the frequency range of motion noise pollution, extracting field value amplitudes of the ground reference points and the air measuring points, and performing denoising correction processing by using a least mean square error algorithm.

The application relates to the field of rotors, in particular to a rotor structure with good noise reduction effect and a flying car. The rotor structure with good noise reduction effect comprises a bionic convex and a rotor body, the bionic convex comprises a rotating side and a round corner side, the rotating side is connected with a driving structure, and the round corner side is in contact with a spring, the bionic convexes are arranged in an array at the tail end of the rotor body, and the rotor body is also provided with rotor holes in an array for placing the bionic convexes and the springs. The bionic convexes can be extended at low speed, so that the rotor is subjected to noise reduction, and the bionic convexes can be retracted at high speed, so that the noise of the flying car can be reduced, sound pollution can be reduced, and the application prospect is wide.

The utility model belongs to the field of noise pollution prevention and control, concretely relates to convenient dismouting modularization noise pollution prevention and control equipment, including sound absorption board, the inside of sound absorption board is provided with a plurality of evenly distributed sound absorption hole, the left and right ends of sound absorption board all are fixedly connected with fixed block, the outside of fixed block is connected with the slide of connecting seat, the outside of connecting seat is fixedly connected with fixed seat, the back of fixed seat is connected with the slide of mounting seat. The utility model discloses the effect of the design sound absorption board, can play the purpose of noise pollution prevention and control, can realize the installation fixed of overall structure under the effect of mounting seat, and under the plug -in cooperation of ball and groove, can connect fixed block and connecting seat and fix, realize the fixation of sound absorption board, and through the sound absorption board of pushing can fixed block from the inside slide of connecting seat and take out, can conveniently dismantle sound absorption board, and sound absorption board adopts combined type setting, can conveniently carry out nimble dismounting.

This invention discloses a silent pollution-free water jet generator and a method for studying the noise performance of water jets. The silent pollution-free water jet generator includes, in sequence, a first elbow, a first transition pipe, a solenoid valve / flowmeter assembly, a second transition pipe, a second elbow, and a nozzle section, all sealed together. One end of the first elbow is sealed to an outlet on one side of the housing. The method for studying the noise performance of the water jet comprises the following steps: Step 1: Determine the vertical distance between the bottom surface of the housing and the center of the nozzle section; Step 2: Assemble the silent pollution-free water jet generator and hoist the housing onto a platform frame, adjusting the frame height to meet the testing requirements; Step 3: Fill the housing with water; Step 4: Obtain the water jet velocity, and begin measuring the noise after reaching the required velocity. This invention uses water gravity to generate a water jet to study its noise performance, significantly reducing interference caused by the noise of the device itself.

The application discloses a wind-fish integration layout optimization method and device considering offshore wind power underwater noise, equipment and storage medium, relates to the seawater culture engineering technical field, and comprises the following steps: based on the linear relationship between wind speed and noise source sound source level and the noise attenuation model with underwater distance, an underwater noise propagation model of a wind turbine generator unit is established; based on the wake effect of the wind turbine generator unit, a power generation calculation model of a wind farm is established; based on a target function with the purpose of maximizing total power generation, a wind turbine generator unit spacing constraint and a noise limit constraint of a culture area, an optimization model is constructed; the wind turbine generator unit coordinates and the culture net cage coordinates are taken as inputs of the optimization model, the optimization model is solved, and the optimized layout positions of the wind turbine generator unit and the culture area are obtained, so that the single economic perspective of only considering power generation efficiency in traditional wind farm planning is broken through, the underwater noise pollution is taken as a core constraint and integrated into the layout optimization, and therefore, the contradiction between marine energy and resources is reduced.

The invention discloses an aerodynamic noise prediction method and device and electronic equipment, and belongs to the technical field of acoustics. Comprising the following steps: constructing a sound pressure convection equivalent source model between frequency domain disturbance pressure and convection equivalent source intensity and constructing an acoustic velocity convection equivalent source model between frequency domain disturbance velocity and convection equivalent source intensity according to a first grid node position in a non-closed permeable surface and a convection equivalent source position and angular frequency in a closed equivalent source surface; and determining the convection equivalent source intensity according to the two convection equivalent source models, and further determining the sound pressure and the acoustic velocity of the far-field observation point by combining the position of the far-field observation point and the position of the convection equivalent source. According to the method, the convection effect of a moving medium is considered, far-field noise propagation is predicted by constructing a convection equivalent source model according to a non-closed permeable surface transient flow field without turbulence pulsation components, the false sound radiation phenomenon of a permeable surface is effectively avoided, and false-sound-pollution-free prediction of sound pressure and acoustic speed in the moving medium can be achieved at the same time.

The utility model provides a sound amplification system capable of controlling a sound field range. The sound amplification system comprises more than two sound amplification units and a pointing mechanism used for connecting and adjusting the sound amplification units. Wherein the sound amplification unit comprises a sound gathering cover and a linear sound source column loudspeaker arranged in the sound gathering cover, so that a sound field control system is formed, the diffusion range of sound waves is effectively controlled, and sound pollution and sound interference caused by sound leakage and sound dyeing can be effectively reduced. The pointing mechanism can adjust the sound field range according to the needs of the application scene.

In at least one embodiment, a road alert system is provided. The system includes a loudspeaker array and at least one controller. The loudspeaker array transmits an audio output signal to a vehicle traveling on a road. The at least one controller is programmed to receive a message indicative of a warning for the vehicle for transmission on the audio output signal and to apply equalization parameters to the message to increase in-vehicle speech intelligibility of the audio output signal within the vehicle. The at least one controller is further programmed to transmit the audio output signal via the loudspeaker array in a beamforming mode to minimize noise pollution for objects positioned along the road.

The present invention belongs to the technical field of ceiling decoration, and specifically relates to a GRG decoration system based on energy saving and noise reduction and an assembly method thereof. The GRG decoration system includes: a plurality of GRG panel assemblies and a plurality of partition assemblies; wherein each of the GRG panel assemblies is arranged in sequence and spaced apart; the partition assembly is located between two GRG panel assemblies, and the partition assembly is respectively offset against each GRG panel assembly, and the spacing between the two GRG panel assemblies is 1000mm to 1200mm; the present invention can reduce the reflection of sound waves and block the propagation of sound waves by arranging partition assemblies between the GRG panel assemblies for separation, thereby avoiding secondary pollution caused by noise. At the same time, the GRG panel assemblies and the partition assemblies form a wave shape, which can guide sound and light into the base layer and the GRG panel assemblies for absorption, thereby overcoming the problems of sound pollution and light pollution in traditional lecture halls and improving the aesthetics of the overall curvature.

The application relates to the field of image data processing, in particular to a ring-scan sonar two-dimensional imaging data processing method and system, which comprises the following steps: acquiring a ring-scan sonar image, performing superpixel segmentation on the ring-scan sonar image, taking any superpixel block as a target block, calculating the average noise pollution degree and the average echo signal intensity of the target block, taking the ratio of the average echo signal intensity to the average noise pollution degree as the comprehensive weight of the target block, taking the comprehensive weight of the target block as the comprehensive weight of each pixel point in the target block, traversing to obtain the comprehensive weight of each pixel point of each superpixel block, and constructing a weight map aligned with the ring-scan sonar image according to the comprehensive weights of all pixel points of all superpixel blocks; taking the ring-scan sonar image and the weight map as the double-channel input of a preset detection model to obtain a detection result. The application improves the target detection precision of the ring-scan sonar.

This utility model relates to the field of air compressor technology, and more particularly to an air compressor intake filtration and silencing device, including a mounting frame with a first silencing hole on the frame, a mounting component slidably connected inside the mounting frame, the mounting component having holes corresponding to the first silencing hole, and an auxiliary silencing component on the mounting component. This utility model, through the synergistic effect of a high-efficiency dust filter, a precision perforated structure, and porous sound-absorbing cotton, simultaneously achieves superior dust and impurity interception and efficient absorption and suppression of broadband noise, ensuring the cleanliness of the air entering the air compressor, significantly reducing noise pollution in the working environment, and the modular design greatly shortens maintenance time, effectively reducing equipment downtime losses.

The invention discloses a noise monitoring system for ecological environmental protection engineering, and relates to the field of noise monitoring, and the noise monitoring system integrates three types of data of steady-state noise of a fixed monitoring point, unsteady-state noise of a moving path and biological acoustic response of an ecological sensitive point, and constructs a full-chain monitoring system of noise source-propagation path-ecological receptor. A direct scientific basis is provided for ecological protection, a rigorous data quality evaluation and noise traceability mechanism is established, acoustic fingerprint matching and propagation path modeling are utilized to accurately identify a pollution source and quantify the contribution degree, collaborative evaluation is performed based on ecological sensitivity and data reliability, and a monitoring optimization strategy is dynamically generated. And high-precision directional supplementary monitoring is carried out on the key area through the unmanned aerial vehicle acoustic imaging and beam forming technology, a self-adaptive closed loop is formed, scientific decision support is provided for ecological environment management, technical spanning from passive monitoring to active optimization is realized, and the accuracy and effectiveness of ecological environment noise pollution prevention and control are remarkably improved.

The invention discloses a transformer substation noise pollution self-adaptive noise reduction system based on artificial intelligence, and belongs to the field of intelligent noise reduction. The system comprises a sensing decision-making layer and an intelligent control layer which are connected in sequence, the sensing decision-making layer comprises a multi-mode sensing array unit and an intelligent edge computing unit; the multi-mode sensing array unit is connected with the intelligent edge computing unit; the intelligent control layer comprises a self-adaptive anti-phase sound field generation unit, a physical noise reduction execution mechanism and a real-time control unit, and the self-adaptive anti-phase sound field generation unit, the physical noise reduction execution mechanism and the real-time control unit are respectively connected with the intelligent edge calculation unit. According to the invention, efficient, intelligent and adaptive noise reduction of the substation equipment noise is realized.

The utility model relates to a mobile well site noise reduction device. Its technical scheme is: installing the air intake silencer on one side of the noise reduction box, installing the turbine exhaust fan and the air outlet on the top of the noise reduction box, installing the exhaust silencer outside the air outlet, the noise reduction box including the steel frame main body sound insulation panel and the sound insulation door, installing the sound insulation panel and the sound insulation door outside the steel frame main body, the middle part of the sound insulation panel and the sound insulation door is equipped with the hollow layer, and the inner wall of the sound insulation panel and the sound insulation door is pasted with the damping sound insulation felt layer. The utility model has the beneficial effects that: the sound insulation panel realizes the sealing, theft prevention and detachable functions; the damping sound insulation felt laid on the inner wall has the best sound insulation effect on low-frequency noise; and the polyester fiber sound absorbing cotton on both sides not only meets the safety and environmental protection requirements, but also improves the sound absorption effect of the noise reduction device on medium and low frequency noise, greatly reduces the propagation of the noise of the oilfield well site, reduces the sound pollution to the surrounding environment, and reduces the influence on the surrounding people.

The application discloses an intelligent piling underwater noise monitoring method and system, which comprises the following steps: receiving and preprocessing original underwater sound pressure signals of multiple monitoring sites to obtain multiple underwater sound pressure signals; detecting and extracting the underwater sound pressure signals of each monitoring site based on short-time energy analysis and adaptive threshold judgment to obtain candidate pulse signals; performing spectrum analysis on the candidate pulse signals to obtain time-frequency distribution diagrams, log-mel spectrograms and frequency domain characteristic parameters; inputting the log-mel spectrogram into a deep learning model to obtain a piling pulse signal; performing post-processing on the piling pulse signal to calculate acoustic evaluation parameters of piling underwater noise; and inversely calculating the average sound source level of the piling operation based on the acoustic evaluation parameters of the multiple monitoring sites and corresponding monitoring position information and in combination with an ocean underwater sound propagation model. The application meets the demand of modern ocean engineering for rapid response and automatic monitoring of underwater noise pollution.

According to one embodiment, a method, computer system, and computer program product for reducing volume of a wireless audio device is provided. The embodiment may include monitoring, via a listening device, audible sounds and corresponding sound levels at a first location of an environment; identifying an audible sound at the first location with a corresponding sound level which exceeds a decibel threshold of the environment; creating a list of Bluetooth-enabled (BE) speakers, sorted by decreasing signal strength, discoverable via the listening device; capturing a segment of the audible sound; sending, from the listening device, a volume reduction request to a topmost BE speaker of the list located at a second location of the environment; responsive to receiving, at the listening device, a notification of match from the topmost BE speaker, re-measuring the corresponding sound level; and confirming the corresponding sound level is compliant with the decibel threshold.

Each device in a set of signal relaying devices (D1, D2, D3) acquires a respective instance (A1s, A2s, A3s) of an acoustic source signal (A) emitted from a noise pollution source (S), produces a respective feedforward signal (s1, s2, s3) comprising the respective instance (A1s, A2s, A3s) together with information designating a respective position (P1, P2, P3) of the device and time-stamp data (t1, t2, t3) to indicate when and where the respective instance (A1s, A2s, A3s) of the acoustic source signal (A) was acquired, and transmits this in a respective radio signal (R1, R2, R3). A target device (T) receives the respective radio signals (R1, R2, R3), and based thereon produces a cancelling signal (CSST) for an anti-noise signal (ANST) that suppresses the acoustic source signal (AT) after having propagated from the noise pollution source (S) to the target device (T). The cancelling signal (CSST) is produced based on the respective instances (A1s, A2s, A3s), the time-stamp data (t1, t2, t3), the information designating the respective positions (P1, P2, P3) of the devices and a target position (PT) of the target device (T).

The invention belongs to the technical field of building materials, and particularly relates to a lightweight gypsum-based acoustic metamaterial and a preparation method thereof. The preparation method comprises the following steps: (1) mixing the preparation raw materials to obtain mixed slurry; and (2) sequentially carrying out physical foaming and chemical foaming on the mixed slurry, wherein the number of times of chemical foaming is 2-3. A proper amount of physical and chemical foaming agents are added into a gypsum-based material, the gypsum-based sound absorption metamaterial with a space-like curled structure is formed by adopting a multi-stage composite foaming technology, and the sound wave attenuation capability of the material can be greatly improved by adjusting a pore structure; and the method especially plays an important role in low-frequency noise pollution treatment of traffic and equipment. Moreover, the prepared lightweight gypsum-based acoustic metamaterial is excellent in low and medium frequency sound absorption characteristic, the sound absorption coefficient at 500 Hz can reach 0.86, the sound absorption coefficient at 250 Hz can reach 0.69, and the problem that the low and medium frequency sound absorption performance of a traditional porous material is poor can be solved.

The present invention relates to a square dance noise data processing method, which relates to the field of smart cities, including: obtaining a set of probabilities of residents being at home in a noise coverage area according to the current playback interval matching; utilizing a noise area simulation space, based on current meteorological data and a set of probabilities of residents being at home, taking the range of the movable area of the audio as the optimization space, and iteratively optimizing the audio layout parameters with the goal of minimizing the overall noise impact, and outputting the optimal position and optimal angle; placing the audio within the current playback interval according to the optimal position and optimal angle, and continuing to optimize the audio placement. The present invention can solve the technical problem that traditional methods cannot reasonably select the activity venue and audio layout of square dance in combination with actual scenarios, resulting in the difficulty in effectively controlling the regional noise impact; it can improve the scientificity and rationality of the setting of the square dance activity venue and audio layout, minimize regional noise pollution, and realize intelligent and scientific urban noise management.

The invention discloses an AI modeling and pollution tracing system based on regional noise big data, and aims to solve the problems that traditional noise monitoring coverage is fragmented, the modeling generalization ability is weak, and pollution tracing is low in efficiency. The system comprises a data acquisition module, a preprocessing module, an AI modeling module, a pollution traceability module, a decision output module and an edge-cloud cooperative processing module, noise data and associated environment data are acquired through a distributed gridding sensing terminal, after cross-modal feature fusion, an AI model integrated with an acoustic propagation physical law is input, and the noise data and the associated environment data are subjected to cross-modal feature fusion. Through combination of space-time correlation map construction and a propagation law reverse deduction technology, accurate positioning of a noise source and propagation path tracking are realized. Based on edge-cloud collaborative optimization resource scheduling and data transmission, automatic output of target protection area early warning and graded treatment suggestions is realized, a global perception-precise modeling-efficient traceability-intelligent decision full-process solution is formed, and reliable technical support is provided for scientific management and control of regional noise pollution.