Sound Barrier Scheme Design Method Based on Noise Simulation Prediction Model

Abstract

The present invention relates to the field of noise processing, and discloses a method for designing a sound barrier scheme based on a noise simulation prediction model, which includes the following steps: establishing a noise simulation prediction model within a region based on a noise simulation evaluation software, and detecting the day-night equivalent sound level within the region through the model to achieve model calibration; performing a simulation design of the sound barrier position through the calibrated model, comparing the day-night equivalent sound levels within the region before and after the construction of the sound barrier, and finally adjusting the sound barrier position in combination with the comparison effect. The present invention scientifically applies steps such as a noise simulation prediction model, design principles, position evaluation, and effect evaluation to design a sound barrier scheme with an efficient noise reduction effect, achieving the purpose of improving the noise environment quality.

Description

Technical Field

[0001] The present invention relates to the field of noise processing, and particularly to a method for designing a sound barrier solution based on a noise simulation prediction model. Background Art

[0002] A sound barrier is usually designed for a specific sound source and a specific protection location (or area) to reduce the impact of noise, which is a pollution prevention and control facility. It is widely used in transportation and municipal facilities such as highways, elevated composite roads, urban light rail subways, etc. to control the impact of traffic noise on nearby urban areas. In addition, sound barriers are also used for sound insulation and noise reduction in factories and other noise sources. Since being harassed by noise for a long time is likely to cause harm to human health. The use of sound barriers can significantly reduce the impact of noise on the surrounding environment, improve the quality of the sound environment, protect people's physical and mental health, and not only does a sound barrier have a noise reduction function, but it can also be used as part of the urban landscape to enhance the urban image. Through reasonable color and shape matching, a sound barrier can blend in with the surrounding environment to form a unique urban landscape line, so sound barriers need to be installed.

[0003] The main function of a sound barrier is to isolate the noise propagation path and reduce the impact of noise on the surrounding environment. It effectively weakens the diffraction and propagation of noise through a combination of sound absorption and sound insulation, providing a relatively quiet environment for drivers and residents. After using a sound barrier, since it is made of environmentally friendly materials, it will not cause pollution to the environment. At the same time, it can also effectively reduce the energy consumption caused by noise, meeting the national environmental protection policy. Summary of the Invention

[0004] The present invention overcomes the deficiencies of the prior art and provides a method for designing a sound barrier solution based on a noise simulation prediction model.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] The first aspect of the present invention provides a method for designing a sound barrier solution based on a noise simulation prediction model, including the following steps:

[0007] Based on the actual building conditions of the target area, combined with noise simulation and evaluation software, construct an environmental noise numerical simulation calculation model;

[0008] Perform day-night equivalent sound level detection within the target area through the environmental noise numerical simulation calculation model, and optimize the model verification of the environmental noise numerical simulation calculation model based on the day-night equivalent sound level detection results;

[0009] Combine the qualified environmental noise numerical simulation calculation model and the 3D structure diagram of the target area to design a sound barrier, and adjust the installation state of the sound barrier in combination with the day-night noise sound effect levels.

[0010] Furthermore, in a preferred embodiment of the present invention, by combining the actual situation of the buildings in the target area with noise simulation and evaluation software, an environmental noise numerical simulation calculation model is constructed as follows:

[0011] Determine the area where the sound barrier needs to be constructed and mark it as the target area, where all buildings and roads are covered in the target area;

[0012] Obtain a GPS map software, in which there is a 3D structure diagram of the target area, and in the 3D structure diagram of the target area, 3D models of all buildings and roads in the target area are drawn in proportion;

[0013] In the target area, analyze all buildings and roads, determine the roads with names in the GPS map software and mark them as roads to be analyzed for noise, and at the same time mark the buildings with no less than three floors as buildings to be analyzed for noise;

[0014] Install sound environment monitoring sensors on the roads to be analyzed for noise and the buildings to be analyzed for noise, where the sound environment monitoring sensors are devices that can monitor the surrounding noise information of the roads to be analyzed for noise and the buildings to be analyzed for noise;

[0015] Preset the standard time for monitoring noise information. During the standard time for monitoring noise information, use the sound environment monitoring sensors to continuously monitor the surrounding noise information of different roads to be analyzed for noise and buildings to be analyzed for noise in the target area,

[0016] Introduce Canda / A software, which is software that can simulate, evaluate and model the noise in the target area. Import the 3D structure diagram of the target area and the surrounding noise information of different roads to be analyzed for noise and buildings to be analyzed for noise in the target area into the Canda / A software, so as to construct an environmental noise numerical simulation calculation model.

[0017] Furthermore, in a preferred embodiment of the present invention, the environmental noise numerical simulation calculation model is used to detect the day-night equivalent sound level in the target area, and the environmental noise numerical simulation calculation model is verified and optimized based on the detection results of the day-night equivalent sound level, specifically as follows:

[0018] Preset the monitoring timestamp of the single-day noise sound effect level, and divide the monitoring timestamp of the single-day noise sound effect level into the monitoring timestamp of the daytime noise sound effect level and the monitoring timestamp of the nighttime noise sound effect level;

[0019] Through the acoustic environment monitoring sensor, the surrounding noise information is monitored day and night at the location where the acoustic environment monitoring sensor is installed in the target area. Based on the surrounding noise information monitored in the target area day and night, combined with the daytime noise sound effect level monitoring timestamp and the nighttime noise sound effect level monitoring timestamp, the daytime noise sound effect monitoring level and the nighttime noise sound effect monitoring level are obtained;

[0020] Import the daytime noise sound effect level monitoring timestamp and the nighttime noise sound effect level monitoring timestamp into the environmental noise numerical simulation calculation model, and output the daytime noise sound effect prediction level and the nighttime noise sound effect prediction level;

[0021] Compare the error values between the daytime noise sound effect monitoring level, the nighttime noise sound effect monitoring level and the corresponding daytime noise sound effect prediction level and nighttime noise sound effect prediction level, and calibrate them as the daytime noise sound effect level error value and the nighttime noise sound effect level error value;

[0022] Based on the big data network, determine the daytime noise sound effect level standard error range and the nighttime noise sound effect level standard error range respectively, and judge whether the daytime noise sound effect level error value and the nighttime noise sound effect level error value are respectively maintained within the daytime noise sound effect level standard error range and the nighttime noise sound effect level standard error range;

[0023] If so, calibrate the environmental noise numerical simulation calculation model as a qualified environmental noise numerical simulation calculation model;

[0024] If not, combine the daytime noise sound effect level error value and the nighttime noise sound effect level error value to perform model verification and optimization on the environmental noise numerical simulation calculation model.

[0025] Furthermore, in a preferred embodiment of the present invention, the combining the daytime noise sound effect level error value and the nighttime noise sound effect level error value to perform model verification and optimization on the environmental noise numerical simulation calculation model is specifically:

[0026] Based on the environmental noise numerical simulation calculation model, determine all model parameter combinations, where the model parameter combination is a combination of the attenuation coefficient and the noise distribution weight parameter of the environmental noise numerical simulation calculation model

[0027] Introduce the grid search algorithm, construct a parameter space in the environmental noise numerical simulation calculation model based on the grid search algorithm, and divide parameter grids in the parameter space;

[0028] Import different model parameter combinations into different parameter grids, and perform singular value decomposition on different model parameter combinations through the environmental noise numerical simulation calculation model to obtain the model parameter combinations after singular value decomposition;

[0029] Continue to configure the model parameter combinations after singular value decomposition through the environmental noise numerical simulation calculation model, so as to obtain the secondary prediction level of the daytime noise sound effect and the secondary prediction level of the nighttime noise sound effect;

[0030] Calculate the error values between the secondary prediction levels of the daytime noise sound effect and the nighttime noise sound effect and the monitoring levels of the daytime noise sound effect and the nighttime noise sound effect, and select the secondary prediction levels of the daytime noise sound effect and the nighttime noise sound effect corresponding to the minimum error value, and then inversely deduce the optimal model parameter combination, which is calibrated as the target model parameter combination;

[0031] Apply the target model parameter combination to the environmental noise numerical simulation calculation model to obtain a qualified environmental noise numerical simulation calculation model.

[0032] Further, in a preferred embodiment of the present invention, combining the qualified environmental noise numerical simulation calculation model and the 3D structure diagram of the target area, designing a sound barrier, and adjusting the installation state of the sound barrier in combination with the noise sound effect levels during day and night, specifically:

[0033] Analyze the 3D structure diagram of the target area, determine the residential buildings among all the buildings where noise needs to be analyzed, and highlight the residential buildings in the 3D structure diagram of the target area;

[0034] Based on the big data network, retrieve the traffic of the roads where noise needs to be analyzed. The traffic includes vehicle flow and pedestrian flow. Analyze the traffic of the roads where noise needs to be analyzed, determine the roads where noise needs to be analyzed with traffic greater than the preset value, which are calibrated as high-traffic roads, and highlight the high-traffic roads in the 3D structure diagram of the target area;

[0035] Based on the 3D structure diagram of the target area highlighted by the residential buildings and the high-traffic roads, update the model of the qualified environmental noise numerical simulation calculation model to obtain a type of environmental noise numerical simulation calculation model;

[0036] In the type of environmental noise numerical simulation calculation model, real-time simulate the propagation paths of noise in residential buildings and high-traffic roads, and at the same time simulate the noise sound effect levels at different positions in the propagation paths, and divide the simulation process into daytime simulation and nighttime simulation;

[0037] In the type of environmental noise numerical simulation calculation model, determine the positions where sound barriers can be installed on residential buildings and high-traffic roads, which are calibrated as sound barrier installable positions, and install sound barriers at the sound barrier installable positions;

[0038] After installing the sound barriers, analyze in combination with the noise sound effect levels at different positions in the propagation paths, and adjust the installation state of the sound barriers based on the analysis results.

[0039] Further, in a preferred embodiment of the present invention, after installing the sound barrier, analyze the noise sound effect levels at different positions in the propagation path, and adjust the installation state of the sound barrier based on the analysis results. Specifically:

[0040] After installing the sound barrier, determine all installable states of the sound barrier. Among them, all installable states of the sound barrier record the installation height, installation length, and installation thickness of the sound barrier, and different combinations of installation height, installation length, and installation thickness correspond to different installation states of the sound barrier;

[0041] Determine the factory-installed state of the sound barrier, and control the installation states of all installable positions of the sound barrier to be equal to the factory-installed state. When the sound barrier is in the factory-installed state, continue to simulate the noise sound effect levels at different positions in the propagation path;

[0042] Obtain the noise incident position and noise receiving position of the sound barrier, and based on the noise sound effect levels at different positions in the propagation path, determine the noise sound effect levels at the noise incident position and noise receiving position of the sound barrier after installing the sound barrier, so as to calculate the noise sound effect level difference after noise reduction;

[0043] Preset the standard range of the noise sound effect level difference after noise reduction. If there is a sound barrier that enables the noise sound effect level difference after noise reduction to remain within the standard range of the noise sound effect level difference in both daytime simulation and nighttime simulation, then label the corresponding sound barrier as a sound barrier with a qualified installation state;

[0044] If the sound barrier cannot make the noise sound effect level difference after noise reduction remain within the standard range of the noise sound effect level difference in both daytime simulation and nighttime simulation, then adjust the installable state of the sound barrier, and analyze the noise sound effect level difference after noise reduction in real time during the process of adjusting the installable state, and select the installable state that can make the noise sound effect level difference after noise reduction remain within the standard range of the noise sound effect level difference in both daytime simulation and nighttime simulation for output, so as to obtain a sound barrier with a qualified installation state.

[0045] The second aspect of the present invention also provides a sound barrier scheme design system based on a noise simulation prediction model. The sound barrier scheme design system includes a memory and a processor. The memory stores a sound barrier scheme design method. When the sound barrier scheme design method is executed by the processor, the following steps are implemented:

[0046] Based on the actual situation of the buildings in the target area, combine noise simulation and evaluation software to construct an environmental noise numerical simulation calculation model;

[0047] Perform day-night equivalent sound level detection within the target area through the environmental noise numerical simulation calculation model, and optimize the model calibration of the environmental noise numerical simulation calculation model based on the day-night equivalent sound level detection results;

[0048] Combine the qualified environmental noise numerical simulation calculation model and the 3D structure diagram of the target area to design a sound barrier, and adjust the installation state of the sound barrier in combination with the day-night noise sound effect levels.

[0049] The technical defects existing in the background art solved by the present invention, the present invention has the following beneficial effects: Establish a noise simulation prediction model within the region based on the noise simulation evaluation software, and perform day-night equivalent sound level detection within the region through the model to achieve model correction; Perform sound barrier position simulation design through the corrected model, compare the day-night equivalent sound levels within the region before and after the construction of the sound barrier, and finally adjust the sound barrier position in combination with the comparison effect. The present invention scientifically applies steps such as noise simulation prediction model, design principle, position evaluation, and effect evaluation to design a sound barrier solution with high noise reduction effect, achieving the purpose of improving the noise environment quality. Brief Description of the Drawings

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0051] Figure 1 Shows the flowchart of the sound barrier solution design method based on the noise simulation prediction model;

[0052] Figure 2 Shows the flowchart of the installation scheme design method of the sound barrier;

[0053] Figure 3 Shows the program view of the sound barrier solution design system based on the noise simulation prediction model. Detailed Description of the Embodiment

[0054] In order to be able to more clearly understand the above-mentioned objects, features, and advantages of the present invention, the present invention will be further described in detail below in conjunction with the drawings and specific embodiments. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0055] In the following description, many specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited by the specific embodiments disclosed below.

[0056] Figure 1 A flowchart of a method for designing a sound barrier scheme based on a noise simulation prediction model is shown, including the following steps:

[0057] S102: Based on the actual building conditions of the target area, in combination with noise simulation and evaluation software, construct an environmental noise numerical simulation calculation model;

[0058] S104: Conduct day-night equivalent sound level detection within the target area through the environmental noise numerical simulation calculation model, and optimize the model verification of the environmental noise numerical simulation calculation model based on the day-night equivalent sound level detection results;

[0059] S106: Design a sound barrier in combination with a qualified environmental noise numerical simulation calculation model and the 3D structure diagram of the target area, and adjust the installation state of the sound barrier in combination with the day-night noise sound effect levels.

[0060] Further, in a preferred embodiment of the present invention, the constructing an environmental noise numerical simulation calculation model based on the actual building conditions of the target area and in combination with noise simulation and evaluation software is specifically as follows:

[0061] Determine the area where a sound barrier needs to be constructed and label it as the target area, where all buildings and roads are covered in the target area;

[0062] Obtain a GPS map software, where there is a 3D structure diagram of the target area in the GPS map software, and the 3D models of all buildings and roads in the target area are drawn in proportion in the 3D structure diagram of the target area;

[0063] In the target area, analyze all buildings and roads, determine the roads with names in the GPS map software and label them as roads to be analyzed for noise, and at the same time label the buildings with no less than three floors as buildings to be analyzed for noise;

[0064] Install sound environment monitoring sensors on the roads to be analyzed for noise and the buildings to be analyzed for noise, where the sound environment monitoring sensors are devices that can monitor the surrounding noise information of the roads to be analyzed for noise and the buildings to be analyzed for noise;

[0065] Preset the standard time for monitoring noise information, and within the standard time for monitoring noise information, real-time monitor the surrounding noise information of different roads to be analyzed for noise and the buildings to be analyzed for noise in the target area through the sound environment monitoring sensors

[0066] Introduce the Canda / A software, which is software that can simulate, evaluate, and model noise in the target area. Import the 3D structure diagram of the target area and the surrounding noise information of different roads with noise to be analyzed and buildings with noise to be analyzed in the target area into the Canda / A software, so as to construct an environmental noise numerical simulation calculation model.

[0067] It should be noted that since a sound barrier needs to be constructed, it is necessary to first determine the construction area of the sound barrier, that is, the area that needs noise management, which is the target area. There are roads and buildings in the target area. Since the calculation amount of direct measurement in reality is large, measurement is carried out by simulation. Constructing the 3D structure diagram of the target area can simplify the calculation amount and improve the calculation efficiency. Roads with names exist in the GPS map software, and there is also a large flow of people around them, which are the roads where sound barriers need to be installed. Many buildings with no less than three floors are office buildings or residential areas, which are also the buildings where sound barriers need to be installed. After determining the roads with noise to be analyzed and the buildings with noise to be analyzed, install sound environment monitoring sensors to detect the surrounding noise information in real time, which is a prerequisite for constructing an environmental noise numerical simulation calculation model. Currently, the more common software for predicting and analyzing noise in China mainly includes SoundPLAN, Canda / A, Lima and other software. After comprehensively comparing the functions, influencing factors, calculation amount, calculation time and economy of these software, Canda / A is selected as the prediction software for the environmental noise impact assessment of this project. This software integrates environmental management, traffic management and geographic information system (GIS), and can make the output results intuitively reflected on the GIS layer, fully meeting the requirements of this sound environment impact analysis. Through Canda / A, an environmental noise numerical simulation calculation model is constructed.

[0068] Further, in a preferred embodiment of the present invention, the environmental noise numerical simulation calculation model is used to detect the day-night equivalent sound level in the target area, and the environmental noise numerical simulation calculation model is calibrated and optimized based on the detection results of the day-night equivalent sound level, specifically as follows:

[0069] Preset the monitoring timestamps of the single-day noise sound effect level, and divide the monitoring timestamps of the single-day noise sound effect level into the monitoring timestamps of the daytime noise sound effect level and the monitoring timestamps of the nighttime noise sound effect level;

[0070] Through the acoustic environment monitoring sensor, the surrounding noise information is monitored during the day and at night at the location where the acoustic environment monitoring sensor is installed in the target area. Based on the surrounding noise information monitored in the target area during the day and at night, combined with the daytime noise sound effect level monitoring timestamp and the nighttime noise sound effect level monitoring timestamp, the daytime noise sound effect monitoring level and the nighttime noise sound effect monitoring level are obtained;

[0071] Import the daytime noise sound effect level monitoring timestamp and the nighttime noise sound effect level monitoring timestamp into the environmental noise numerical simulation calculation model, and output the daytime noise sound effect prediction level and the nighttime noise sound effect prediction level;

[0072] Compare the error values between the daytime noise sound effect monitoring level, the nighttime noise sound effect monitoring level and the corresponding daytime noise sound effect prediction level and nighttime noise sound effect prediction level, and calibrate them as the daytime noise sound effect level error value and the nighttime noise sound effect level error value;

[0073] Based on the big data network, determine the daytime noise sound effect level standard error range and the nighttime noise sound effect level standard error range respectively, and judge whether the daytime noise sound effect level error value and the nighttime noise sound effect level error value are respectively maintained within the daytime noise sound effect level standard error range and the nighttime noise sound effect level standard error range;

[0074] If so, calibrate the environmental noise numerical simulation calculation model as a qualified environmental noise numerical simulation calculation model;

[0075] If not, combine the daytime noise sound effect level error value and the nighttime noise sound effect level error value to perform model verification and optimization on the environmental noise numerical simulation calculation model.

[0076] It should be noted that it is necessary to measure the daytime and nighttime noise sound effect levels within a single day for convenient analysis. Because the noises during the day and at night are different, at night, the noise effect level should be lower. Preset the single-day noise sound effect level monitoring timestamp. There are multiple time points in the timestamp, which can be divided into daytime timestamp and nighttime timestamp according to different time points. Initially, the surrounding noise information monitored in the target area is obtained through on-site measurement, so as to obtain the daytime noise sound effect monitoring level and the nighttime noise sound effect monitoring level, and compare and analyze the daytime noise sound effect monitoring level and the nighttime noise sound effect monitoring level with the parameters predicted by the model, so as to obtain the error value. If the error value is within the controllable range, it proves that the calibration of the model is standard and there is little difference from the noise sound effect monitoring level obtained by normal measurement. On the contrary, if the error value is greater than the preset value, it is necessary to perform model verification and optimization on the environmental noise numerical simulation calculation model to ensure the accuracy of the data obtained by the environmental noise numerical simulation calculation model.

[0077] Further, in a preferred embodiment of the present invention, combining the daytime noise sound effect level error value and the nighttime noise sound effect level error value to perform model verification and optimization on the environmental noise numerical simulation calculation model, specifically:

[0078] Based on the environmental noise numerical simulation calculation model, determine all model parameter combinations, where the model parameter combinations are combinations of the attenuation coefficient and the noise distribution weight parameter of the environmental noise numerical simulation calculation model

[0079] Introduce a grid search algorithm, construct a parameter space in the environmental noise numerical simulation calculation model based on the grid search algorithm, and divide parameter grids in the parameter space;

[0080] Import different model parameter combinations into different parameter grids, and perform singular value decomposition on different model parameter combinations through the environmental noise numerical simulation calculation model to obtain the model parameter combinations after singular value decomposition;

[0081] Continue to perform parameter configuration on the model parameter combinations after singular value decomposition through the environmental noise numerical simulation calculation model, so as to obtain the secondary prediction level of the daytime noise sound effect and the secondary prediction level of the nighttime noise sound effect;

[0082] Calculate the error values between the secondary prediction level of the daytime noise sound effect and the secondary prediction level of the nighttime noise sound effect and the monitoring levels of the daytime noise sound effect and the nighttime noise sound effect, select the secondary prediction level of the daytime noise sound effect and the secondary prediction level of the nighttime noise sound effect corresponding to the minimum error value, and then inversely deduce the optimal model parameter combination, which is calibrated as the target model parameter combination;

[0083] Apply the target model parameter combination in the environmental noise numerical simulation calculation model to obtain a qualified environmental noise numerical simulation calculation model.

[0084] It should be noted that verifying and optimizing the model requires adjusting the built-in parameters of the model, that is, adjusting the attenuation coefficient and the noise distribution weight parameter of the model. Among them, different combinations of the attenuation coefficient and the noise distribution weight parameter of different models have different effects on the prediction effect of the model. The grid search method can perform iterative analysis on different model parameter combinations, so as to select the optimal parameter combination, and performing singular value decomposition on different model parameter combinations can reduce the calculation complexity and calculation process, and improve the calculation efficiency. Finally, according to the error value, the model parameter combination corresponding to the most accurate prediction result can be obtained, which is calibrated as the target model parameter combination. Applying the target model parameter combination in the model can obtain a qualified environmental noise numerical simulation calculation model.

[0085] Figure 2 The method flow chart of the installation scheme design of the sound barrier is shown, including the following steps:

[0086] S202: Combine the qualified environmental noise numerical simulation calculation model and the 3D structure diagram of the target area to design a sound barrier, and adjust the installation state of the sound barrier in combination with the noise sound effect levels during day and night.

[0087] S204: After installing the sound barrier, analyze the noise sound effect levels at different positions in the propagation path, and adjust the installation state of the sound barrier based on the analysis results.

[0088] Further, in a preferred embodiment of the present invention, the step of combining the qualified environmental noise numerical simulation calculation model and the 3D structure diagram of the target area to design a sound barrier, and adjusting the installation state of the sound barrier in combination with the noise sound effect levels during day and night is specifically as follows:

[0089] Analyze the 3D structure diagram of the target area, determine the residential buildings among all the buildings where noise needs to be analyzed, and highlight the residential buildings in the 3D structure diagram of the target area.

[0090] Retrieve the traffic flow of the road where noise needs to be analyzed based on the big data network. The traffic flow includes vehicle flow and pedestrian flow. Analyze the traffic flow of the road where noise needs to be analyzed, determine the roads where noise needs to be analyzed with a traffic flow greater than a preset value, mark them as high-traffic roads, and highlight the high-traffic roads in the 3D structure diagram of the target area.

[0091] Based on the 3D structure diagram of the target area with the residential buildings and high-traffic roads highlighted, update the qualified environmental noise numerical simulation calculation model to obtain a type of environmental noise numerical simulation calculation model.

[0092] In the type of environmental noise numerical simulation calculation model, real-time simulate the propagation paths of noise in the residential buildings and high-traffic roads, and at the same time simulate the noise sound effect levels at different positions in the propagation paths, and divide the simulation process into day simulation and night simulation.

[0093] In the type of environmental noise numerical simulation calculation model, determine the positions where sound barriers can be installed on the residential buildings and high-traffic roads, mark them as sound barrier installable positions, and install sound barriers at the sound barrier installable positions.

[0094] It should be noted that there are various types of buildings in the building where the noise is to be analyzed. Since residential buildings where people live have a greater impact on noise, the residential buildings are highlighted. Similarly, the roads where the noise is to be analyzed with a pedestrian flow greater than the preset value are highlighted and marked as high-flow roads. Sound barriers need to be installed on residential buildings and high-flow roads to achieve noise reduction. Before installing the sound barrier, it is necessary to simulate the propagation path of the noise through a type of environmental noise numerical simulation calculation model, so as to install the sound barrier to achieve the maximum noise reduction effect. During the simulation process, it is necessary to simultaneously simulate the noise sound effect level and conduct separate simulations for day and night. The installable positions of the sound barrier are determined by combining on-site inspections and actual situations. Different residential buildings and high-flow roads have positions where the sound barrier can be installed, that is, the installable positions of the sound barrier, but there are differences in the installation length, height, thickness, etc.

[0095] It should be noted that the acoustic noise reduction principle of the sound barrier is that when the sound wave emitted by the noise source encounters the sound barrier, it will propagate along three paths: a part will diffract over the top of the sound barrier and reach the receiving point, a part will penetrate the sound barrier and reach the receiving point, and a part will be reflected on the surface of the sound barrier. The insertion loss of the sound barrier mainly depends on the sound energy distribution of the sound wave emitted by the sound source along these three paths. Diffraction means that the sound energy diffracting over the top of the sound barrier and reaching the receiving point is smaller than the direct sound energy without the barrier. The difference in sound level between the direct sound and the diffracted sound is called the diffraction attenuation. The phenomenon that the sound wave emitted by the sound source passes through the sound barrier and propagates to the receiving point is called transmission. The sound energy penetrating the sound barrier depends on the surface density of the sound barrier, the incident angle, and the frequency of the sound wave. The sound insulation ability of the sound barrier is evaluated by the transmission loss TL. When TL is large, the transmitted sound energy is small; when TL is small, the transmitted sound energy is large. When the transmission loss of the sound barrier and the diffraction attenuation are greater than 10 dB, the transmitted sound energy can be ignored. When sound barriers are built on both sides of the road and the sound barriers are parallel, the sound wave will be reflected multiple times between the sound barriers and diffract over the top of the sound barrier to reach the receiving point, which will reduce the insertion loss of the sound barrier.

[0096] Furthermore, in a preferred embodiment of the present invention, after installing the sound barrier, analyze the noise sound effect levels at different positions in the propagation path and adjust the installation state of the sound barrier based on the analysis results. Specifically:

[0097] After installing the sound barrier, determine all the installable states of the sound barrier. Among them, all the installable states of the sound barrier record the installation height, installation length, and installation thickness of the sound barrier. Different combinations of installation height, installation length, and installation thickness correspond to different installable states of the sound barrier;

[0098] Determine the factory installation state of the sound barrier, and control the installation states of all installable positions of the sound barrier to be equal to the factory installation state. When the sound barrier is in the factory installation state, continue to simulate the noise sound effect levels at different positions in the propagation path;

[0099] Obtain the noise incident position and the noise receiving position of the sound barrier. Based on the noise sound effect levels at different positions in the propagation path, determine the noise sound effect levels at the noise incident position and the noise receiving position of the sound barrier after installing the sound barrier, so as to calculate the difference in the noise sound effect levels after noise reduction;

[0100] Preset the standard range of the difference in the noise sound effect levels after noise reduction. If there is a sound barrier that enables the difference in the noise sound effect levels after noise reduction to remain within the standard range of the difference in the noise sound effect levels in both daytime simulation and nighttime simulation, then label the corresponding sound barrier as a sound barrier with a qualified installation state;

[0101] If the sound barrier cannot enable the difference in the noise sound effect levels after noise reduction to remain within the standard range of the difference in the noise sound effect levels in both daytime simulation and nighttime simulation, then adjust the installable state of the sound barrier, and during the process of adjusting the installable state, analyze in real time the difference in the noise sound effect levels after noise reduction, and select the installable state output that can enable the difference in the noise sound effect levels after noise reduction to remain within the standard range of the difference in the noise sound effect levels in both daytime simulation and nighttime simulation to obtain a sound barrier with a qualified installation state.

[0102] It should be noted that the noise reduction effects achieved by the sound barrier in different installable states are different. Determine the noise incident position and the noise receiving position of the sound barrier. The noise incident position is the incident point of the noise at the sound barrier during noise propagation, and the receiving position is the point after passing through the sound barrier. Calculate the difference in the noise sound effect levels at the noise incident position and the noise receiving position of the sound barrier respectively, and conduct a combined analysis with the standard value. If it is within the standard value, the current installation state of the sound barrier is qualified; if it is not within the standard, it is unqualified and the installation state needs to be adjusted, that is, the height, length, and thickness are adjusted accordingly to enable the difference in the noise sound effect levels after noise reduction to remain within the standard range of the difference in the noise sound effect levels in both daytime simulation and nighttime simulation.

[0103] The second aspect of the present invention also provides a sound barrier scheme design system based on a noise simulation prediction model. The sound barrier scheme design system includes a memory 31 and a processor 32. The memory 31 stores a sound barrier scheme design method. When the sound barrier scheme design method is executed by the processor 32, the following steps are implemented:

[0104] Based on the actual building conditions of the target area, combined with noise simulation and evaluation software, construct an environmental noise numerical simulation calculation model;

[0105] The equivalent sound level during day and night is detected within the target area through the environmental noise numerical simulation calculation model, and the environmental noise numerical simulation calculation model is calibrated and optimized based on the detection results of the equivalent sound level during day and night;

[0106] Combined with the qualified environmental noise numerical simulation calculation model and the 3D structure diagram of the target area, a sound barrier is designed, and the installation state of the sound barrier is adjusted in combination with the noise sound effect levels during day and night.

[0107] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for designing a sound barrier scheme based on a noise simulation prediction model, characterized in that It includes the following steps: Based on the actual situation of the buildings in the target area, combined with noise simulation and evaluation software, construct an environmental noise numerical simulation calculation model; Conduct day-night equivalent sound level detection in the target area through the environmental noise numerical simulation calculation model, and optimize the model verification of the environmental noise numerical simulation calculation model based on the day-night equivalent sound level detection results; Combine the qualified environmental noise numerical simulation calculation model and the 3D structure diagram of the target area to design a sound barrier, and adjust the installation state of the sound barrier in combination with the noise sound effect levels during the day and night; Among them, the step of conducting day-night equivalent sound level detection in the target area through the environmental noise numerical simulation calculation model and optimizing the model verification of the environmental noise numerical simulation calculation model based on the day-night equivalent sound level detection results is specifically as follows: Preset the monitoring timestamps of the single-day noise sound effect level, and divide the single-day noise sound effect level monitoring timestamps into daytime noise sound effect level monitoring timestamps and nighttime noise sound effect level monitoring timestamps; Through the sound environment monitoring sensor, monitor the surrounding noise information during the day and at night at the positions where the sound environment monitoring sensor is installed in the target area. Based on the surrounding noise information monitored in the target area during the day and at night, combined with the daytime noise sound effect level monitoring timestamps and the nighttime noise sound effect level monitoring timestamps, obtain the daytime noise sound effect monitoring level and the nighttime noise sound effect monitoring level; Import the daytime noise sound effect level monitoring timestamps and the nighttime noise sound effect level monitoring timestamps into the environmental noise numerical simulation calculation model, and output the daytime noise sound effect prediction level and the nighttime noise sound effect prediction level; Compare the error values between the daytime noise sound effect monitoring level, the nighttime noise sound effect monitoring level and the corresponding daytime noise sound effect prediction level and nighttime noise sound effect prediction level, and calibrate them as the daytime noise sound effect level error value and the nighttime noise sound effect level error value; Based on the big data network, determine the standard error ranges of the daytime noise sound effect level and the nighttime noise sound effect level respectively, and judge whether the daytime noise sound effect level error value and the nighttime noise sound effect level error value are respectively maintained within the standard error ranges of the daytime noise sound effect level and the nighttime noise sound effect level; If so, calibrate the environmental noise numerical simulation calculation model as a qualified environmental noise numerical simulation calculation model; If not, optimize the model verification of the environmental noise numerical simulation calculation model in combination with the daytime noise sound effect level error value and the nighttime noise sound effect level error value; Among them, the step of optimizing the model verification of the environmental noise numerical simulation calculation model in combination with the daytime noise sound effect level error value and the nighttime noise sound effect level error value is specifically as follows: Based on the environmental noise numerical simulation calculation model, determine all model parameter combinations, where the model parameter combinations are combinations of the attenuation coefficient and the noise distribution weight parameter of the environmental noise numerical simulation calculation model; Introduce the grid search algorithm, construct a parameter space in the environmental noise numerical simulation calculation model based on the grid search algorithm, and divide parameter grids in the parameter space; Import different combinations of model parameters in different parameter grids, and perform singular value decomposition on different combinations of model parameters through numerical simulation of environmental noise to obtain the combination of model parameters after singular value decomposition; Continue to perform parameter configuration on the combination of model parameters after singular value decomposition through numerical simulation of environmental noise, so as to obtain the secondary prediction level of daytime noise sound effect and the secondary prediction level of nighttime noise sound effect; Calculate the error values between the secondary prediction level of daytime noise sound effect and the secondary prediction level of nighttime noise sound effect and the monitoring levels of daytime noise sound effect and nighttime noise sound effect, and select the secondary prediction level of daytime noise sound effect and the secondary prediction level of nighttime noise sound effect corresponding to the minimum error value, and then inversely deduce the optimal combination of model parameters, which is calibrated as the target combination of model parameters; Apply the target combination of model parameters to the numerical simulation calculation model of environmental noise to obtain a qualified numerical simulation calculation model of environmental noise.

2. The sound barrier scheme design method based on the noise simulation prediction model according to claim 1, characterized in that, The numerical simulation calculation model of environmental noise is constructed by combining the actual situation of the buildings in the target area with noise simulation and evaluation software, specifically: Determine the area where the sound barrier needs to be constructed and label it as the target area, where all buildings and roads are covered in the target area; Obtain a GPS map software, in which there is a 3D structure diagram of the target area, and the 3D models of all buildings and roads in the target area are drawn in proportion in the 3D structure diagram of the target area; In the target area, analyze all buildings and roads, determine the roads with names in the GPS map software, label them as roads to be analyzed for noise, and at the same time label the buildings with no less than three floors as buildings to be analyzed for noise; Install sound environment monitoring sensors on the roads to be analyzed for noise and the buildings to be analyzed for noise, where the sound environment monitoring sensors are devices that can monitor the surrounding noise information of the roads to be analyzed for noise and the buildings to be analyzed for noise; Preset the standard time for monitoring noise information, and within the standard time for monitoring noise information, use the sound environment monitoring sensors to continuously monitor the surrounding noise information of different roads to be analyzed for noise and buildings to be analyzed for noise in the target area, Introduce Canda / A software, which is software that can simulate, evaluate and model the noise of the target area. Import the 3D structure diagram of the target area and the surrounding noise information of different roads to be analyzed for noise and buildings to be analyzed for noise in the target area into the Canda / A software, so as to construct a numerical simulation calculation model of environmental noise.

3. The method for designing a sound barrier solution based on a noise simulation prediction model according to claim 1, characterized in that, Design a sound barrier by combining the qualified numerical simulation calculation model of environmental noise and the 3D structure diagram of the target area, and adjust the installation state of the sound barrier in combination with the noise sound effect levels during day and night, specifically: Analyze the 3D structure diagram of the target area, determine the residential buildings among all the buildings to be analyzed for noise, and highlight the residential buildings in the 3D structure diagram of the target area; Retrieve the traffic flow of the road to be analyzed for noise based on the big data network. The traffic flow includes vehicle flow and pedestrian flow. Analyze the traffic flow of the road to be analyzed for noise, determine the roads to be analyzed for noise with traffic flow greater than the preset value, label them as roads with high traffic flow, and highlight the roads with high traffic flow in the 3D structure diagram of the target area; Based on the 3D structure diagram of the target area after highlighting the residential buildings and the roads with high traffic flow, update the qualified environmental noise numerical simulation calculation model to obtain a type of environmental noise numerical simulation calculation model; In the type of environmental noise numerical simulation calculation model, real-time simulate the propagation path of noise in residential buildings and roads with high traffic flow, and simultaneously simulate the noise sound effect levels at different positions in the propagation path. The simulation process will be divided into daytime simulation and nighttime simulation; In the type of environmental noise numerical simulation calculation model, determine the positions where sound barriers can be installed in residential buildings and roads with high traffic flow, label them as positions where sound barriers can be installed, and install sound barriers at the positions where sound barriers can be installed; After installing the sound barriers, analyze in combination with the noise sound effect levels at different positions in the propagation path, and adjust the installation state of the sound barriers based on the analysis results.

4. The method for designing a sound barrier solution based on a noise simulation prediction model according to claim 3, characterized in that, The step of, after installing the sound barriers, analyzing in combination with the noise sound effect levels at different positions in the propagation path, and adjusting the installation state of the sound barriers based on the analysis results is specifically as follows: After installing the sound barriers, determine all installable states of the sound barriers. Among them, all installable states of the sound barriers record the installation height, installation length, and installation thickness of the sound barriers. Different combinations of installation height, installation length, and installation thickness correspond to different installable states of the sound barriers; Determine the factory-installed state of the sound barriers, and control the installation states of all positions where sound barriers can be installed to be equal to the factory-installed state. When the sound barriers are in the factory-installed state, continue to simulate the noise sound effect levels at different positions in the propagation path; Obtain the noise incident position and noise receiving position of the sound barriers, and based on the noise sound effect levels at different positions in the propagation path, determine the noise sound effect levels at the noise incident position and noise receiving position of the sound barriers after installing the sound barriers, so as to calculate the noise sound effect level difference after noise reduction; Preset the standard range of the noise sound effect level difference after noise reduction. If there are sound barriers that can keep the noise sound effect level difference within the standard range of the noise sound effect level difference in both daytime simulation and nighttime simulation, then label the corresponding sound barriers as sound barriers with qualified installation states; If the sound barriers cannot keep the noise sound effect level difference within the standard range of the noise sound effect level difference in both daytime simulation and nighttime simulation, then adjust the installable state of the sound barriers, and analyze the noise sound effect level difference after noise reduction in real time during the process of adjusting the installable state. Select the installable state that can keep the noise sound effect level difference within the standard range of the noise sound effect level difference in both daytime simulation and nighttime simulation and output it to obtain sound barriers with qualified installation states.

5. A sound barrier scheme design system based on a noise simulation prediction model, characterized in that, The sound barrier scheme design system includes a memory and a processor. The memory stores a sound barrier scheme design method program. When the sound barrier scheme design method program is executed by the processor, the steps of the sound barrier scheme design method described in any one of claims 1-4 are implemented.

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