21 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 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 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 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 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.

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 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 prompt information projection method, device and equipment for an automobile, and relates to the technical field of display. Determining a vehicle driving state according to the vehicle driving speed; determining projection content according to the vehicle driving state; and projecting the projection content on the rear windshield of the automobile for external display. According to the scheme, the reason that the front vehicle cannot move can be directly and visually transmitted to the rear vehicle in a projection mode, doubts and misunderstanding of a driver of the rear vehicle are eliminated, meaningless whistling caused by information asymmetry is remarkably reduced, and urban noise pollution is reduced.