32 results about "Urban noise" patented technology

The invention relates to the field of environmental noise monitoring, and discloses a noise monitoring point position automatic determination method fused with a noise map. The method comprises the following steps: acquiring a base map and sound source data of a target area, layering the base map according to a preset interval in a vertical direction, and carrying out gridding processing to obtain a three-dimensional grid; performing spatial analysis on the sound source data to obtain a sound source intensity matrix, and mapping the sound source intensity matrix to a three-dimensional grid to obtain a three-dimensional noise map; the base map comprises building structure data; performing three-dimensional path exploration on the three-dimensional noise map based on an ant colony algorithm to obtain a noise hotspot path and a pheromone concentration distribution diagram; and carrying out site selection analysis based on a genetic algorithm on the noise hotspot path and the pheromone concentration distribution diagram to obtain a Pareto optimal monitoring site set, the Pareto optimal monitoring site set being used for indicating site selection of the noise automatic monitoring site. By adopting the method, accurate and efficient automatic noise monitoring site selection in a complex urban environment can be realized, and the urban noise monitoring and treatment level 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 an urban noise complaint spatial distribution characteristic and partition management and control system, relates to the technical field of data processing, and aims to solve the problems that current urban noise partition management and control research is insufficient, quantitative analysis on noise complaint spatial distribution characteristics is less, and the efficiency is high. The system comprises a noise monitoring module, a data processing module, a noise complaint module, an analysis module, a data storage module, a noise partition management and control unit and a display module, and the noise monitoring module is used for monitoring different functional areas of a city. And the noise complaint module is used for establishing a noise complaint threshold value and automatically making a noise complaint for the monitored noise. According to the method, deep mining and analysis of urban noise complaint data are realized through multi-module collaborative operation and in combination with a multi-source information fusion technology, and the problem of insufficient resident complaint analysis in urban noise management and control is effectively solved.

The utility model discloses a road totally-closed photovoltaic sound barrier, which belongs to the technical field of road sound barriers, and comprises a frame, photovoltaic sound barrier screen bodies, a transparent PC (polycarbonate) board, a transparent screen body and a metal screen body, a purline is arranged at the top of the frame, the photovoltaic sound barrier screen bodies are detachably connected to the purline, a first gap is formed between the photovoltaic sound barrier screen bodies, and a second gap is formed between the transparent PC board and the metal screen body. The transparent PC board is arranged at the top corner of the frame, a second gap is formed between the transparent PC board and the photovoltaic sound barrier body, the metal screen body and the transparent screen body are arranged on the side face of the frame, the transparent screen body is located on the metal screen body, the top of the transparent screen body extends into the inner side of the transparent PC board, and waterproof sealing rubber strips are arranged in the first gap and the second gap. The photovoltaic sound barrier screen body is directly used as the top sound absorption screen body of the totally-closed sound barrier, photovoltaic power generation and sound insulation and noise reduction are integrated, on one hand, urban noise pollution is reduced, and on the other hand, urban photovoltaic construction land pressure is relieved.

The invention discloses a city noise map generation method, system and device and a storage medium, and relates to the technical field of environment monitoring, and the method comprises the steps: collecting the noise data of each region of a city through a fixed sensor and a mobile sensor, extracting the spatial-temporal characteristics related to the noise intensity in the noise data, and carrying out the integration, the method comprises the following steps: acquiring noise intensity and noise source positions of different types of noise sources, performing noise level classification according to the noise intensity, acquiring noise levels, integrating the noise source positions, the noise levels and acquisition time of the different types of noise sources, placing an integration result in a map, and generating a noise distribution map with different noise levels. According to the method, the change of noise pollution and the region with high noise level are found and dealt with, the noise distribution condition of each region of a city is accurately described through data integration of the data, and a scientific basis is provided for city planning, environmental protection and public health management.

The invention relates to the technical field of intelligent traffic equipment, in particular to an induction blind sidewalk brick, a trigger type tactile stick and a blind sidewalk cooperation system. The sensing blind sidewalk brick comprises a blind sidewalk brick body and a sensing device, wherein a cavity is formed in the blind sidewalk brick body; the trigger device is arranged on the blind sidewalk brick body and is used for receiving a trigger signal triggered by short-distance wireless induction; the sensing device is arranged in the cavity and is in signal connection with the triggering device, and the sensing device sends out a warning signal after the triggering device receives the triggering signal; wherein the trigger device is a tactile stick trigger device; a trigger signal triggered by short-distance wireless induction is sent out by the tactile stick. According to the tactile stick, a point-to-point identification relation is established through close-range induction (magnetism, metal and radio frequency), and the effect that the brick responds only when a visually impaired person carrying the tactile stick arrives is achieved; the selective triggering suppresses broadcast flooding caused by scene noise (raindrops, footsteps, baby carriages and the like), so that information fatigue and urban noise pollution are avoided.

The invention discloses a GIS-based sound environment threshold value rapid query method, and particularly relates to the technical field of environment noise monitoring and intelligent city management. The method comprises the following steps: acquiring meteorological data and topographic data, analyzing the influence of the environment on noise propagation, calculating an actual noise influence range by combining time information and utilizing a dynamic noise propagation model, adjusting a basic noise limit value, and forming a more accurate dynamic threshold value; in combination with real-time noise monitoring data and traffic flow data, a spatial buffer area algorithm is adopted to evaluate a noise exceeding range, complaint frequency weight is introduced to calculate the noise pollution severity of complaint points, and an optimal treatment scheme is intelligently matched; by continuously monitoring the treatment effect, if the noise pollution is not effectively reduced, the treatment strategy is dynamically adjusted, and the noise propagation model is continuously optimized, so that the accuracy of noise prediction and management is improved, a self-adaptive optimization intelligent noise supervision system is constructed, and the scientificity and intelligent level of urban noise treatment are improved.

The utility model relates to a ventilation sound insulation structure and a sound insulation window, and belongs to the field of sound insulation windows. The ventilation and sound insulation structure comprises a shell, one side of the shell is provided with an air inlet hole, and the other side of the shell is provided with an air outlet hole; the fan is mounted in the shell; the air deflector is fixed in the shell; the first sound insulation plate is fixed in the shell and is provided with a first through hole; the second sound insulation plate is fixed in the shell, is parallel to the first sound insulation plate and is provided with a second through hole; wherein the first through holes and the second through holes are arranged in a staggered mode, and a fiber layer is arranged between the first sound insulation board and the second sound insulation board. According to the ventilation and sound insulation structure and the sound insulation window, indoor and outdoor air flow exchange can be controlled through the draught fan, so that indoor air flow circulation is achieved, and through mutual cooperation of the first sound insulation plate, the second sound insulation plate and the fiber layer, the influence of external urban noise pollution on the normal life and mental health of indoor people is conveniently reduced.

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.

The invention provides a built sound barrier photovoltaic module and an installation method, and belongs to the technical field of urban noise reduction construction.The built sound barrier photovoltaic module comprises a built sound barrier and a photovoltaic module, the built sound barrier comprises a row of steel stand columns installed on the two sides of a road, a sound baffle used for isolating noise is installed between every two adjacent steel stand columns, the photovoltaic assembly comprises a photovoltaic cell panel, connecting clamps and fixers, the connecting clamps and the fixers are arranged on the two sides of the photovoltaic cell panel, the photovoltaic cell panel and the steel stand columns are fixedly installed through the multiple sets of fixers on the two sides, and each fixator comprises a clamp and a fixing chuck. The fixed chuck comprises a fastening bolt and a stopping and fixing pressing block, and one end of a stud of the fastening bolt is connected with one side of the stopping and fixing pressing block; according to the invention, a complete installation system can be constructed for the photovoltaic module, the installation of the photovoltaic module based on the built sound baffle is realized, and the problems of the need for photovoltaic power generation in the current sound baffle field, high cost for replacing new equipment and long construction time are solved.

The invention discloses an urban noise space perception and zoning management and control system based on the Internet of Things, relates to the technical field of urban noise monitoring and management and control, and aims to solve the problems that in an urban multi-section construction scene, a noise source is difficult to accurately position, management and control thresholds are rigid and unmatched, multi-section noise responsibilities are difficult to divide, and the construction efficiency is high. The system comprises a multi-dimensional sensing module which is used for collecting noise data, equipment working condition data, environment parameters and sensitive area associated data of a construction area, and transmitting the collected data to a noise source positioning and classifying module; and the noise source positioning and classifying module is used for carrying out fusion processing on the received data. The method has the advantages that the noise source of the construction area is accurately positioned, the differentiated control threshold is generated in combination with the scene, meanwhile, the multi-section noise contribution degree is quantified, and the construction safety progress and sensitive area environment guarantee are efficiently balanced.

An artificial intelligence-based urban design noise optimization method and system includes: preprocessing building form and noise measurement data, constructing a basic data set after noise simulation verification; generating a three-dimensional urban model and a network of measurement points through a hierarchical parameterized framework, calculating the structure-borne noise level, and verifying it in real time in conjunction with planning constraints, providing a structured design space, basic noise data, and feasibility assurance; constructing a two-stage multilayer perceptron network to process the acoustic impact of local building clusters and global urban noise patterns, respectively, and achieving high-precision noise prediction through training; deploying a large language model as an optimization agent, and outputting the optimal solution through multiple rounds of iterative optimization and evaluation. Compared with traditional technologies, this invention effectively improves noise prediction accuracy. Parametric modeling provides a structured design space, real-time verification ensures feasibility, and the use of a large language model for optimization enables efficient iteration, significantly improving efficiency and reducing labor costs compared to traditional methods.

The invention relates to a square dance noise data processing method, and relates to the field of smart cities, and the method comprises the steps: obtaining a resident at-home probability set of a noise coverage area according to the matching of a current playing interval; by utilizing a noise region simulation space, according to the current meteorological data and the resident at-home probability set, performing sound layout parameter iterative optimization by taking a sound movable region range as an optimization space and taking the minimum overall noise influence as a target, and outputting an optimal position and an optimal angle; and placing the sound in the current playing interval according to the optimal position and the optimal angle, and continuing to optimize the sound placement. According to the invention, the technical problem that the regional noise influence is difficult to effectively control because the traditional method cannot reasonably select the activity field and sound layout of the square dance in combination with the actual scene can be solved; scientific and reasonable arrangement of a square dance activity site and sound equipment layout can be improved, regional noise pollution is reduced to the greatest extent, and intelligent and scientific urban noise management is realized.

The application relates to the technical field of intelligent traffic equipment, in particular to an inductive blind sidewalk brick, a trigger type blind stick and a blind sidewalk coordination system. The inductive blind sidewalk brick comprises a blind sidewalk brick body, a trigger device and an inductive device; the blind sidewalk brick body is internally formed with a cavity; the trigger device is arranged on the blind sidewalk brick body and receives a trigger signal of short-distance wireless induction triggering; the inductive device is arranged in the cavity and is signal-connected to the trigger device; the inductive device sends an alarm signal after the trigger device receives the trigger signal; wherein the trigger device is a blind stick trigger device; the trigger signal of short-distance wireless induction triggering is sent by the blind stick. In the application, a point-to-point identification relationship is established by close-range induction (magnetic, metal, radio frequency), so that only the blind sidewalk brick responds when a visually impaired person carrying the blind stick arrives; the selective triggering suppresses the broadcast flooding caused by scene noise (raindrops, footsteps, baby strollers and the like), thereby avoiding information fatigue and urban noise pollution.

This invention belongs to the field of urban noise management technology and provides a remote square dance sound noise control system, comprising: one or more speakers, each with an embedded volume control module, the speakers being distributed across one or more monitoring areas; a remote control terminal, which determines the noise threshold of the monitoring area and sends the noise threshold to the embedded volume control modules of the speakers within the monitoring area; after receiving the noise threshold, the embedded volume control modules within the monitoring area detect the noise volume inside the speakers, and when the noise volume inside the speakers is greater than or equal to the noise threshold, it shuts off the power supply circuit of the speaker motherboard of the speaker containing the embedded volume control module; this invention enables noise location and control to be specific to the speakers, achieving precise noise control and fairness. Simultaneously, the remote control terminal can set different noise thresholds for different monitoring areas, meeting the needs of regionally differentiated noise control.

The utility model relates to the technical field of noise detection equipment, and discloses urban noise source positioning equipment which comprises a mobile vehicle body, a sound source positioning mechanism is arranged at the top end of the mobile vehicle body, the mobile vehicle body comprises a vehicle seat, universal wheels are fixedly installed at the four corners of the bottom end of the vehicle seat respectively, and a U-shaped frame is fixedly connected to one side of the middle of the top end of the vehicle seat. A through hole is formed in the middle of the top end of the U-shaped frame. By adopting the design of the movable sound source positioning structure, the sound source positioning device comprises the sound source positioning mechanism, the sound source positioning mechanism comprises the microphone array mechanism which can rotate and can be adjusted in a lifting manner, and when the sound source positioning device is far away from a noise source or the noise intensity is weak, the microphone array mechanism can be rotated and adjusted, the direction of the noise source can be detected, and the vehicle body can be moved; and making the position close to the noise source until the position of the urban noise source is determined.

The application provides a kind of noise monitoring system of urban noise pollution based on intelligent sensing, it is related to data processing technical field.In the present application, first, first noise audio and second noise audio are subjected to semantic mining respectively, to form first noise semantic vector and second noise semantic vector;Second, noise type semantic vector is mined;Then, noise type semantic vector and first noise semantic vector are subjected to noise type correlation analysis, and noise type correlation data is output;Further, noise type correlation data is used as the basis for semantic enhancement, and second noise semantic vector is subjected to semantic enhancement to form enhanced noise semantic vector;Finally, noise type prediction is carried out according to enhanced noise semantic vector, to form target noise type.Based on the above method, the problem of relatively low reliability of noise monitoring in the prior art can be improved.

The present invention discloses a method for intelligently identifying urban noise sources based on a neural network, which relates to the technical field of noise identification. Aiming at the technical problems that the current urban noise source identification method is difficult to achieve real-time detection of noise sources, resulting in a decrease in the accuracy of noise source category identification, making the difficulty of noise source classification relatively high and unable to meet the intelligent identification requirements of noise sources, the method includes the following steps: establishing an urban noise source database, establishing an urban noise basic characteristic parameter database, analyzing based on the urban noise source database to establish a standard data set of noise source characteristic parameters, determining the noise source characteristic parameters, determining the target area, constructing an urban noise monitoring system at the center of the target area, and measuring the characteristic parameter vector of the noise source in the target area. By using the neural network algorithm, the present invention automatically constructs an intelligent noise source identification model to assist in the discrimination of different noise sources, and has a relatively high recognition rate.

A city noise monitoring device capable of being attached to an existing vertical rod is characterized in that the two sides of the existing vertical rod are tightly attached to a left arc part and a right arc part of an upper hoop respectively, the existing vertical rod is anchored between the left arc part and the right arc part through bolts, the outer sides of the left arc and the right arc extend out of a cantilever plate beam, and the tail end of the cantilever plate beam is hinged to the upper end of an inclined strut; the lower end of the inclined strut is hinged to the left and right arc parts of the lower hoop, and the existing vertical rod is anchored between the left and right arcs through bolts; and a noise monitor is fixed on the cantilever plate beam. According to the noise monitoring device, the triangular bracket can be fixedly mounted on the existing vertical rod in an attached manner, the current situation that the noise monitoring device needs to be provided with a bracket for mounting is changed, and the noise monitoring device has the advantages of wide application range, convenience in mounting and dismounting, repeated use, high expansibility and the like.

The invention discloses a method for intelligently identifying an urban noise source based on a neural network, relates to the technical field of noise identification, and aims to solve the problems that the current urban noise source identification method is difficult to realize real-time detection of the noise source, so that the accuracy of noise source category identification is reduced, the difficulty of noise source classification is relatively high, and the accuracy of noise source classification is low. The method comprises the following steps: establishing an urban noise source database, establishing an urban noise basic characteristic parameter database, carrying out analysis on the basis of the urban noise source database to establish a noise source characteristic parameter standard data set, determining noise source characteristic parameters, and determining a target area. The urban noise monitoring system is constructed in the center of the target area, the feature parameter vector of the noise source of the target area is measured, the intelligent noise source recognition model is automatically constructed by applying the neural network algorithm, discrimination of different noise sources is assisted, and the recognition rate is high.

The application provides an urban noise analysis method and device based on edge AI, equipment and a medium. The method comprises the following steps: sending target noise data collected by a sound collecting device to an edge AI device; inputting the target noise data into a pre-trained scene adaptation model by the edge AI device; determining a scene analysis result of the target noise data by the scene adaptation model, wherein the scene analysis result comprises audio features and scene features corresponding to the audio features; sending the scene analysis result to an intelligent analysis device by the edge AI device; determining a target prevention strategy based on the scene analysis result and a preset knowledge graph by the intelligent analysis device, wherein the target prevention strategy is a prevention strategy for the target noise data, and the knowledge graph comprises historical cases, and the historical cases record scene analysis results of historical noise data and corresponding historical prevention strategies. According to the technical scheme of the embodiment of the application, the analysis result of the target noise data can be output in real time.

This utility model discloses an environmentally friendly soundproof barrier to alleviate urban noise pollution, including a soundproof barrier with a light-transmitting component inside. The light-transmitting component includes a rotating frame with a transparent plate inside. One side of the rotating frame is rotatably installed inside the soundproof barrier. When the rotating frame needs to be rotated, two limiting blocks are pulled from the outside, i.e., the connecting rope and the locking block are pulled, causing the locking block to disassemble in the locking slot. When the inside of the transparent plate needs to be cleaned, the rotating frame is rotated outwards, moving the inner part of the transparent plate to the outside of the road for cleaning without obstructing the lane. When the rotating frame is rotated 90° outwards, the top of the bolt aligns with the limiting port. By rotating the bolt and inserting it into the limiting port, the rotating frame is fixed, facilitating cleaning of the transparent plate.

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 provides a noise monitoring system for urban noise pollution based on intelligent sensing, and relates to the technical field of data processing. The method comprises the following steps: firstly, respectively carrying out semantic mining on a first noise audio and a second noise audio to form a first noise semantic vector and a second noise semantic vector; secondly, mining a noise type semantic vector; then, performing noise type correlation analysis on the noise type semantic vector and the first noise semantic vector, and outputting noise type correlation data; further, taking noise type related data as a semantic enhancement basis, and performing semantic enhancement on the second noise semantic vector to form an enhanced noise semantic vector; and finally, performing noise type prediction according to the enhanced noise semantic vector to form a target noise type. Based on the method, the problem of relatively low reliability of noise monitoring in the prior art can be improved.

The invention provides an edge AI-based urban noise analysis method, device, equipment and medium, and the method comprises the steps: transmitting collected target noise data to edge AI equipment through sound collection equipment, and inputting the target noise data to a pre-trained scene adaptive model through the edge AI equipment, a scene analysis result of the target noise data is determined through the scene adaptation model, and the scene analysis result comprises audio features and scene features corresponding to the audio features; the scene analysis result is sent to the intelligent analysis device through the edge AI equipment, the intelligent analysis device determines a target prevention and treatment strategy based on the scene analysis result and a preset knowledge graph, the target prevention and treatment strategy is the prevention and treatment strategy of the target noise data, and the knowledge graph comprises historical cases; the historical case records a scene analysis result of the historical noise data and a corresponding historical prevention and treatment strategy. According to the technical scheme of the embodiment of the invention, the analysis result of the target noise data can be output in real time.

The invention relates to the technical field of wind power generation, in particular to a flexible composite blade of a vertical axis wind turbine, which comprises a stand column, a mounting groove, a servo motor, a rotating seat, a fixing frame and a flexible assembly, the mounting groove is formed in the top of the stand column, and the servo motor is fixedly connected to the inner bottom wall of the mounting groove; the top of the servo motor is fixedly connected with a rotating seat, the top of the rotating seat is fixedly connected with a fixing frame, the surface of the fixing frame is fixedly connected with a flexible assembly, the flexible assembly comprises a fan blade fixedly connected to the surface of the fixing frame, and a cavity is formed in the fan blade; the two sides of the inner wall of the cavity are fixedly connected with sound insulation damping layers. By arranging the flexible assembly, bending deformation can be generated under the impact of strong wind, the peak stress borne by the blade is reduced, the blade bears alternating loads without cracks, aerodynamic noise generated when the blade rotates can be absorbed, the noise decibel is reduced, and the noise control requirement of an urban area is met.

The present invention discloses a multi-city noise automatic monitoring data analysis method and system based on time period classification, which specifically relates to the field of urban noise automatic monitoring, including collecting sound pressure data and performing time slot slicing, thereby separating urban common and specific features through feature weighted classification and feature decoupling migration, and realizing dynamic analysis and evolution of multi-city noise monitoring data. The multi-city noise automatic monitoring data analysis method and system based on time period classification accurately captures the dynamic evolution law of noise in the time domain and frequency domain by constructing an association framework between time period features and noise patterns, effectively reducing the regional misjudgment rate of cross-time period monitoring; through a dual adaptive mechanism, combined with feature decoupling migration and incremental learning, cross-time period and cross-city feature migration and dynamic evolution are realized, significantly reducing the occurrence of period-specific false alarms; by forming a self-optimizing closed loop, passive correction is converted into active learning, solving the pain point of frequent manual intervention in the existing technology.

The invention relates to the technical field of noise statistical analysis, in particular to a noise three-dimensional map generation method and device, equipment and a storage medium, and the method comprises the steps: carrying out the mean value calculation of original sound pressure level data collected at each monitoring point in a target monitoring region, and obtaining a sound pressure level data mean value set; calculating the sound pressure level data deviation of each sound pressure level data mean value in the sound pressure level data mean value set based on the sound pressure level data mean value set and reference sound pressure level data to obtain a sound pressure level data deviation set; performing data simulation on the original sound pressure level data acquired by each monitoring point to obtain a sound pressure level data simulation set; and generating a noise three-dimensional map based on the sound pressure level data simulation set and the sound pressure level data deviation set. According to the invention, the urban noise distribution condition can be clearly known.

The invention discloses a method and system for calculating the number of residents influenced by unmanned aerial vehicle flight noise, and belongs to the technical field of unmanned aerial vehicle intelligent control. The objective of the invention is to solve the problem of accurate calculation of resident number affected by unmanned aerial vehicle noise. The method comprises the steps of establishing an unmanned aerial vehicle flight state correction type sound power calculation model; calculating a sound pressure level of the unmanned aerial vehicle after initial propagation attenuation; the corrected sound pressure level of the unmanned aerial vehicle is obtained by considering the influence of the building on the sound wave propagation path; calculating the total sound pressure level of the unmanned aerial vehicle at the receiving point, calculating the equivalent sound level of the unmanned aerial vehicle at the receiving point based on the total sound pressure level of the unmanned aerial vehicle at the receiving point, and integrating to obtain a time equivalent sound level; obtaining sound level intensity based on the time equivalent sound level, and constructing an urban noise exposure risk index by comprehensively considering the sound level intensity, population density and regional vulnerability; the urban noise exposure risk index and the receiving point perception score are considered in the disturbance population evaluation model, and weighted accumulation is carried out on the disturbance population of each receiving point to obtain the total number of residents influenced by the flight noise of the unmanned aerial vehicle.

The invention discloses a landscaping garbage treatment system which mainly comprises a rack, a coarse crusher, a feeding screw conveyor, a fine crusher, a material collecting bin and an unloader, the coarse crusher, the feeding screw conveyor and the fine crusher are connected and installed on the rack, the feeding screw conveyor is connected and installed between the coarse crusher and the fine crusher, and the unloader is connected and installed between the coarse crusher and the fine crusher. The material collecting bin is connected to the output end of the fine crusher, and the unloader is connected to the lower portion of the material collecting bin. According to the landscaping garbage treatment system disclosed by the invention, common landscaping garbage generated in cities can be uniformly crushed nearby, the crushing fineness meets the technical requirements of compost fermentation matrix utilization, noise and dust generated during operation are small, and the urban noise and dust pollution control requirements can be met.