CN115638876A - Noise calculation method, device, equipment and storage medium based on high-density grid - Google Patents
Noise calculation method, device, equipment and storage medium based on high-density grid Download PDFInfo
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Abstract
The embodiment of the invention provides a noise calculation method, a device, equipment and a storage medium based on a high-density grid, relating to the technical field of noise detection, wherein the method comprises the following steps: dividing an area to be monitored into a plurality of grid units; taking part of the grid cells in the plurality of grid cells as central grid cells according to a preset mode, wherein each central grid cell is correspondingly provided with a noise monitoring device, and the noise monitoring devices are used for monitoring noise data of the environment where the central grid cell is located; obtaining a noise value of the central grid unit according to noise data acquired by the noise monitoring equipment corresponding to the central grid unit; and obtaining the noise value of the grid unit around the central grid unit according to the noise value of the central grid unit. The scheme can improve the accuracy of the noise value.
Description
Technical Field
The present invention relates to the field of noise detection technologies, and in particular, to a noise calculation method and apparatus based on a high-density mesh, a computer device, and a readable storage medium.
Background
The noise map is a noise value distribution map which is simulated by using acoustic simulation software, corrected by actual noise measurement data and finally drawn. On the basis of quantitatively simulating the noise sound level, the urban noise map comprehensively analyzes and calculates the sound source data, traffic information and other information, and then generates a data map reflecting the urban noise level condition. The urban noise mainly includes traffic noise, industrial noise, building noise and living noise. The traffic noise is a large noise source in urban traffic, and the noise generated in the driving process and the whistle is closely related to the traffic flow around the road and the road condition information.
The existing urban environment noise model technology mainly aims at traffic noise simulation, and commonly used models include an American FHWA model, a British CRTN model, a German RLS90 model and the like, wherein the models are all based on a linear mode as a structural basis, the traffic flow data of each road is used as a main independent variable for calculation, and a noise value is calculated through the relationship between traffic flow and noise.
In the existing researches, when a noise map is drawn, only the physical propagation range of urban traffic noise is calculated, and the noise source is single, so that the accuracy and precision of the noise value are influenced. And in some researches, a noise map is drawn by adopting a method for collecting traffic noise by using a mobile intelligent terminal, but the method needs a large amount of labor cost, is low in collection density, is difficult to collect at night, and cannot reflect the real-time change condition of the noise for 24 hours, so that the accuracy of the noise value cannot be guaranteed.
Disclosure of Invention
In view of this, embodiments of the present invention provide a noise calculation method based on a high-density grid, so as to solve the technical problem in the prior art that the accuracy of calculating a noise value is low. The method comprises the following steps:
dividing a region to be monitored into a plurality of grid units;
taking part of the grid cells in the plurality of grid cells as central grid cells according to a preset mode, wherein each central grid cell is correspondingly provided with a noise monitoring device, and the noise monitoring devices are used for monitoring noise data of the environment where the central grid cell is located;
obtaining a noise value of the central grid unit according to noise data acquired by the noise monitoring equipment corresponding to the central grid unit;
and obtaining the noise value of the grid unit around the central grid unit according to the noise value of the central grid unit.
The embodiment of the invention also provides a noise calculation device based on the high-density grid, which is used for solving the technical problem of low accuracy in noise value calculation in the prior art. The device includes:
the grid division module is used for dividing the area to be monitored into a plurality of grid units;
the central grid determining module is used for taking part of the grid units in the grid units as central grid units according to a preset mode, each central grid unit is correspondingly provided with a noise monitoring device, and the noise monitoring devices are used for monitoring noise data of the environment where the central grid units are located;
the first noise calculation module is used for obtaining a noise value of the central grid unit according to noise data collected by the noise monitoring equipment corresponding to the central grid unit;
and the second noise calculation module is used for obtaining the noise values of the grid cells around the central grid cell according to the noise value of the central grid cell.
An embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the above-mentioned arbitrary noise calculation method based on high-density grids when executing the computer program, so as to solve a technical problem in the prior art that the accuracy of calculating a noise value is low.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing any of the above-mentioned noise calculation methods based on a high-density mesh is stored in the computer-readable storage medium, so as to solve the technical problem in the prior art that the accuracy of calculating a noise value is low.
Compared with the prior art, the beneficial effects that can be achieved by the at least one technical scheme adopted by the embodiment of the specification at least comprise: the method comprises the steps that an area to be monitored is divided into a plurality of grid units, part of the grid units in the grid units are used as central grid units according to a preset mode, each central grid unit is correspondingly provided with a noise monitoring device, the noise monitoring devices are used for monitoring noise data of the environment where the central grid units are located, and then the noise value of the central grid units is obtained according to the noise data collected by the noise monitoring devices at the central grid units; and finally, obtaining the noise values of the grid cells around the central grid cell according to the noise value of the central grid cell so as to obtain the noise value of each grid cell. Because the noise value of each central grid unit is calculated through the noise data acquired by the noise monitoring equipment at each central grid unit, and then the noise value of the grid unit at the periphery of each central grid unit is calculated based on the noise value of each central grid unit, the noise value of each grid unit is finally obtained based on the noise data acquired by the noise monitoring equipment, and the acquisition result of the noise monitoring equipment can cover various urban living noises such as living noises, industrial noises, building noises and the like, namely the noise value of each grid unit covers various urban living noises such as living noises, industrial noises, building noises and the like, thereby being beneficial to improving the accuracy and precision of the noise value; meanwhile, a large-area (namely, an area to be monitored) is divided into small grid units, and the noise value of each small grid unit covering various urban living noises is calculated, so that the noise value distribution condition of a large-area range (such as the whole city) is simulated and obtained by utilizing a mode of calculating the noise value of the small grid unit, the obtained noise value distribution of the area to be monitored is more accurate, and the accuracy of the noise value is further improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a method for calculating noise based on a high-density grid according to an embodiment of the present invention;
FIG. 2 is a diagram of a split grid according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a layout of a noise monitoring device according to an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating a distribution of a central grid cell and peripheral grid cells according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a noise map drawn by using the noise calculation method based on the high-density grid according to the embodiment of the present invention;
FIG. 6 is a block diagram of a computer device according to an embodiment of the present invention;
fig. 7 is a block diagram of a noise calculation apparatus based on a high-density mesh according to an embodiment of the present invention.
Detailed Description
The embodiments of the present application will be described in detail below with reference to the accompanying drawings.
The following embodiments of the present application are described by specific examples, and other advantages and effects of the present application will be readily apparent to those skilled in the art from the disclosure of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. The application is capable of other and different embodiments and its several details are capable of modifications and various changes in detail without departing from the spirit of the application. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In an embodiment of the present invention, a noise calculation method based on a high-density grid is provided, as shown in fig. 1, the method includes:
step S101: dividing an area to be monitored into a plurality of grid units;
step S102: taking part of the grid cells in the plurality of grid cells as central grid cells according to a preset mode, wherein each central grid cell is correspondingly provided with a noise monitoring device, and the noise monitoring devices are used for monitoring noise data of the environment where the central grid cell is located;
step S103: obtaining a noise value of the central grid unit according to noise data acquired by the noise monitoring equipment corresponding to the central grid unit;
step S104: and determining the noise value of the grid unit around the central grid unit according to the noise value of the central grid unit.
As can be seen from the process shown in fig. 1, in the embodiment of the present invention, an area to be monitored is divided into a plurality of grid units, and a part of the grid units in the plurality of grid units are used as central grid units according to a preset manner, each central grid unit is correspondingly provided with a noise monitoring device, and the noise monitoring device is configured to monitor noise data of an environment where the central grid unit is located, so as to obtain a noise value of the central grid unit according to the noise data collected by the noise monitoring device at the central grid unit; and finally, determining the noise values of the grid cells around the central grid cell according to the noise value of the central grid cell to obtain the noise value of each grid cell. The noise value of each central grid unit is calculated through the noise data acquired by the noise monitoring equipment at each central grid unit, and then the noise value of the grid unit at the periphery of each central grid unit is calculated based on the noise value of each central grid unit, so that the noise value of each grid unit is obtained based on the noise data acquired by the noise monitoring equipment, the acquisition result of the noise monitoring equipment can cover various urban living noises such as living noises, industrial noises and building noises, namely the noise value of each grid unit covers various urban living noises such as living noises, industrial noises and building noises, and the accuracy and precision of the noise value are improved; meanwhile, a large-area (namely, an area to be monitored) is divided into small grid units, and the noise value of each small grid unit covering various urban living noises is calculated, so that the noise value distribution condition of a large-area range (such as the whole city) is simulated and obtained by utilizing a mode of calculating the noise value of the small grid unit, the obtained noise value of the area to be monitored is more accurate, and the noise value accuracy is further improved.
In specific implementation, in order to improve the accuracy of the noise value, the present application proposes a scheme for obtaining the noise value distribution of a large area range by calculating the noise value of a high-density small grid unit. Specifically, the process of dividing the region to be monitored in the large region range into a plurality of grid units means that the region to be monitored is divided into a plurality of regions with high density, the plurality of regions form a grid form, and each region is a grid unit. The grid cells may be divided uniformly, i.e., the size of each grid cell is uniform, or may be divided non-uniformly, i.e., the size of each grid cell may not be uniform. The size of the grid unit can be determined according to the precision requirement of actual calculation of the noise value, and the smaller the size is, the smaller the grid unit is, the higher the grid unit density of the region to be monitored is, and the higher the precision of calculation of the noise value is.
For example, the area to be monitored is the area shown in fig. 2 as an example, the area to be monitored is the area of 3km × 3km, the area includes various urban living scenes such as residential areas, superstores, construction sites, highways, parks, and the like, and includes urban living noises such as living noises, industrial noises, construction noises, traffic noises, and the like, and the area may be uniformly divided into small grid cells of 100m × 100m, and the total number of the small grid cells is 30 × 30=900 grid cells.
In specific implementation, the inventor of the present application finds that urban noise mainly includes traffic noise, industrial noise, building noise and life noise, but residents are more influenced by various urban life noises (such as construction noise, square dance noise and the like) in actual life, that is, noise values only include single traffic noise and are not accurate, and the noise values also cover various urban life noises, so that noise data collected by noise monitoring equipment at a central grid unit is combined on the basis of the grid unit to calculate noise values of the grid units, so as to improve accuracy and precision of the noise values.
Meanwhile, the noise monitoring equipment can acquire data 24 hours a day, and then noise values with different time accuracies can be acquired in real time according to requirements based on the noise data acquired by the noise monitoring equipment; for example, the noise values of the grid units can be obtained according to a plurality of time precision levels, such as minute level, hour level, day level, month level, year level, and the like, and then the noise value distribution conditions of different time precision levels of the region to be monitored can be obtained.
In specific implementation, in order to further improve the accuracy of the noise value, in this embodiment, a method for laying noise monitoring devices at high density is provided, for example, part of the grid cells in the multiple grid cells may be randomly determined as central grid cells, so that a greater number of central grid cells (for example, the number of central grid cells reaches a preset number) are distributed at high density in the multiple grid cells, so as to install a noise monitoring device at each central grid cell, and further implement high-density laying of the noise monitoring devices. The method may further include determining a part of the grid cells that are uniformly distributed in the plurality of grid cells as center grid cells, for example, using the plurality of grid cells that are uniformly distributed according to a preset distance in the plurality of grid cells as center grid cells, so that a large number of center grid cells (for example, the number of center grid cells reaches a preset number) are uniformly distributed in the plurality of grid cells at a high density, and then installing noise monitoring equipment at each center grid cell, thereby implementing high-density layout of the noise monitoring equipment, and using the center grid cells as noise collection points to collect noise data of an environment where the center grid cells are located, thereby implementing collection of the noise data of the environment where each center grid cell is located by the noise monitoring equipment that is installed at a high density.
In specific implementation, the preset distance for distributing the central grid unit can be determined according to the accuracy requirement of the actual noise value, and the smaller the preset distance is, the higher the accuracy of the obtained noise value is. For example, a tiling method may be adopted to set central grid units, and noise monitoring devices are installed by laying one central grid unit every 400m, taking the area to be monitored shown in fig. 2 as an example, the distribution of the grid units after the central grid units are laid is shown in fig. 3, the grid marked with the number in fig. 3 is the central grid unit, and each central grid unit is installed with a noise monitoring device for collecting noise data.
In specific implementation, the noise data collected by the noise monitoring device may include data such as collection time, longitude and latitude where the noise monitoring device is located, and noise audio, the noise monitoring device returns the noise data collected every minute, and then calculates the noise value of the central grid unit where the noise monitoring device is located through the server, and the calculated noise value may include data such as an equivalent sound level, a maximum sound level, and a minimum sound level.
In specific implementation, the process of calculating the noise value based on the noise data collected by the noise monitoring device is not specifically limited in the present application, and can be implemented by using the existing calculation method.
In specific implementation, in order to realize that the central grid unit is used as the noise collection point, and further accurately calculate the noise value of each grid unit based on the noise value of the central grid unit, in this embodiment, a method for calculating the noise value of each grid unit around each central grid unit is provided. The noise values for grid cells within a certain range centered on the center grid cell may also be calculated based on the noise value of the center grid cell, e.g.,
calculating a first distance between two adjacent central grid units, taking a half of the first distance as a radius, respectively taking each central grid unit in the two adjacent central grid units as a center, and calculating a noise value of a grid unit within the radius based on the noise value of the central grid unit.
Specifically, the grid cells around the central grid cell are the grid cells within the radius with each central grid cell as the center, and taking a plurality of grid cells shown in fig. 3 as an example, the peripheral 24 grid cells may be included within the radius with each central grid cell as the center, that is, the noise values of the 24 grid cells within the radius may be calculated based on the noise value of one central grid cell.
In specific implementation, in order to further improve the accuracy of the noise value, in this embodiment, a method for determining the noise value of the grid cells around each central grid cell is proposed, for example, the noise value of each grid cell around the central grid cell may be directly calculated according to the noise value of the central grid cell, and the noise value may be used as the final noise value of each grid cell around the central grid cell, and the comprehensive noise value of each grid cell may also be comprehensively determined according to the noise value of the central grid cell and the background noise of each grid cell around the central grid cell, for example,
acquiring the noise value of each grid unit around the central grid unit according to the noise value of the central grid unit; acquiring background noise of each grid cell around the central grid cell; and obtaining the comprehensive noise value of each grid unit around the central grid unit according to the calculated noise value of each grid unit around the central grid unit and the corresponding background noise.
In the specific implementation, in the process of calculating the noise values of the grid cells around the central grid cell, the characteristic that the noise is attenuated along with the increase of the distance is considered, in order to improve the accuracy of calculating the noise values of the grid cells, for example,
calculating a second distance between each of the grid cells peripheral to the central grid cell and the central grid cell;
and calculating the noise value of each grid unit at the periphery of the central grid unit according to the attenuation of the noise value of the central grid unit at the second distance.
Specifically, according to the attenuation of the noise value of the central grid unit at the second distance, the process of calculating the noise value of each grid unit around the central grid unit may directly determine a proportional coefficient of the distance and the noise attenuation, and multiply the noise value of the central grid unit by the proportional coefficient to obtain the noise value of each grid unit. The noise value of each grid cell may be further accurately calculated, and the noise value of each grid cell around the central grid cell may be calculated logarithmically according to the attenuation of the noise value of the central grid cell at the second distance, for example, the noise value of each grid cell around the central grid cell may be calculated by the following formula:
L2=L eq (x)=10log(10 * L eq (d)/x)
wherein x is the distance between the peripheral grid cell and the central grid cell, L2 and L eq (x) Is the noise value, L, of the grid cell at x meters from the center grid cell eq (d) Is the noise value of the central grid cell.
Specifically, the noise of the central grid cell (collection point) is uniformly attenuated toward the periphery, and the second distance between the peripheral grid cell and the central grid cell may be regarded as the distance between the central point of the peripheral grid cell and the central grid cell.
For example, taking the multiple grid cells shown in fig. 3 as an example, the noise is taken as an example of an equivalent sound level (decibel) in small-scale. Through calculation, the equivalent sound level of the central grid unit No. 1 for a certain hour and the equivalent sound levels of the 24 grid units around the central grid unit No. 1 are shown in the following table 1, fig. 4 shows a numbering example of the central grid unit No. 1 and the grid units around the central grid unit No. 1, and the grid units around the central grid unit No. 1 are numbered from the top left corner, from the left to the right, and from the top down.
TABLE 1
In particular, in order to accurately determine the background noise of each grid cell, in this embodiment, a method for determining the background noise is proposed, for example,
determining the life scene type of each grid unit according to the functional characteristics of the buildings in each grid unit;
and determining the background noise corresponding to the life scene type of each grid unit according to the preset corresponding relation between the life scene type and the background noise.
In specific implementation, the background noise of the grid unit may be noise of an environment where the grid unit is located, and a living scene type of each grid unit may be determined according to a functional characteristic of a building in each grid unit, for example, the living scene type may include: (1) Residential cultural relics (i.e., areas that include residential and/or cultural buildings); (2) Mixed commercial and residential areas (i.e., areas including commercial buildings and residential buildings); (3) Industrial, commercial, mixed traffic and residential areas (i.e., areas including industrial buildings, commercial buildings, transportation facilities, and residential buildings); (4) an industrial area; (5) And the traffic trunk two side areas further determine corresponding background noise based on the life scene type of the grid unit.
In specific implementation, according to the environmental noise standard (GB 3096-93) of the urban area, the noise corresponding to each living scene type during the daytime and at the night can be determined, i.e. the preset corresponding relationship between the living scene type and the background noise is obtained, as shown in table 2 below.
TABLE 2
For example, taking the grid shown in fig. 3 as an example, the background noise is equivalent sound level (decibel), the living scene types of 24 grid cells around the center grid cell No. 1 are residential educational regions, and based on the preset corresponding relationship between the living scene types and the background noise shown in table 2, the daytime background noise (decibel) of 24 grid cells around the center grid cell No. 1 can be determined as shown in table 3 below, and fig. 4 shows an example of the numbers of the center grid cell No. 1 and the grid cells around the center grid cell No. 1.
TABLE 3
In specific implementation, the noise value of each grid unit around each central grid unit is calculated, after the background noise of each grid unit around each central grid unit is determined, the comprehensive noise value of each grid unit around the central grid unit is obtained according to the calculated noise value of each grid unit around the central grid unit and the corresponding background noise, the calculated noise value of each grid unit around the central grid unit and the corresponding background noise can be directly superposed, and the sum of the superposition is determined as the comprehensive noise value of each grid unit. And according to the actual noise condition of each grid unit, respectively setting corresponding weight values for the calculated noise value and the corresponding background noise, multiplying the calculated noise value by the corresponding weight value to obtain a first product, multiplying the background noise by the corresponding weight value to obtain a second product, and adding the first product and the second product to obtain a comprehensive noise value of the grid unit. The background noise and the calculated noise value of each grid unit can be superposed by adopting a logarithm method through the following formula, so that the comprehensive noise value of each grid unit is obtained. For example,
L = L1 + 10log（L2）。
where L1 is the sound pressure level of the background noise of each grid cell, L2 is the sound pressure level of each grid cell calculated from the noise value of the center grid cell, and L is the sound pressure level of the integrated noise value of each grid cell.
For example, taking the grid shown in fig. 3 as an example, the noise is taken as an example of equivalent sound level (decibel), the sound pressure level (decibel) of the total noise of 24 grid cells around the center grid cell No. 1 is shown in table 4 below, and fig. 4 shows numbering examples of the center grid cell No. 1 and the grid cells around it.
TABLE 4
In specific implementation, after the noise value of each grid unit of the area to be monitored is determined, a grid-form noise map can be obtained according to the noise value of each central grid unit and the noise values of the grid units around each central grid unit, so as to visually display the accurate noise value distribution of the area to be monitored, as shown in fig. 5.
In this embodiment, a computer device is provided, as shown in fig. 6, and includes a memory 601, a processor 602, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements any of the above-mentioned noise calculation methods based on high-density grids.
In particular, the computer device may be a computer terminal, a server or a similar computing device.
In the present embodiment, there is provided a computer-readable storage medium storing a computer program for executing any of the above-described high-density mesh-based noise calculation methods.
In particular, computer-readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer-readable storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable storage medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Based on the same inventive concept, the embodiment of the present invention further provides a noise calculation apparatus based on a high-density grid, as described in the following embodiments. Because the principle of solving the problem of the noise calculation device based on the high-density grid is similar to that of the noise calculation method based on the high-density grid, the implementation of the noise calculation device based on the high-density grid can refer to the implementation of the noise calculation method based on the high-density grid, and repeated details are omitted. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 7 is a block diagram of a high-density mesh-based noise calculation apparatus according to an embodiment of the present invention, as shown in fig. 7, the apparatus including:
a grid dividing module 701, configured to divide an area to be monitored into a plurality of grid units;
a central grid determining module 702, configured to use a part of the grid cells in the multiple grid cells as a central grid cell in a preset manner, where each central grid cell is correspondingly provided with a noise monitoring device, and the noise monitoring device is configured to monitor noise data of an environment where the central grid cell is located;
a first noise calculation module 703, configured to obtain a noise value of the central grid unit according to noise data acquired by the noise monitoring device corresponding to the central grid unit;
a second noise calculating module 704, configured to obtain the noise values of the grid cells around the central grid cell according to the noise value of the central grid cell.
In an embodiment, the central grid determining module is configured to use the grid cells that are uniformly distributed according to a preset distance in the plurality of grid cells as the central grid cell.
In an embodiment, the second noise calculation module is configured to calculate a first distance between two adjacent central grid cells, and calculate a noise value of a grid cell within a radius by taking a half of the first distance as a radius and taking each central grid cell in the two adjacent central grid cells as a center, respectively.
In one embodiment, the second noise calculation module includes:
a first noise determining unit, configured to obtain a noise value of each grid cell around the central grid cell according to the noise value of the central grid cell;
a second noise determination unit, configured to obtain a background noise of each grid cell around the central grid cell;
and the third noise determining unit is used for obtaining the comprehensive noise value of each grid unit around the central grid unit according to the noise value of each grid unit around the central grid unit and the corresponding background noise.
In one embodiment, a first noise determination unit for calculating a second distance between each of the grid cells peripheral to the central grid cell and the central grid cell; and calculating the noise value of each grid unit at the periphery of the central grid unit according to the attenuation condition of the noise value of the central grid unit at the second distance.
In one embodiment, the second noise determination unit is used for determining the life scene type of each grid unit according to the functional characteristics of the buildings in each grid unit; and determining the background noise corresponding to the life scene type of each grid unit according to the preset corresponding relation between the life scene type and the background noise.
In one embodiment, the above apparatus further comprises:
and the map drawing module is used for obtaining a noise map in a grid form according to the noise value of the central grid unit and the noise values of the grid units around the central grid unit.
The embodiment of the invention realizes the following technical effects: the method comprises the steps that an area to be monitored is divided into a plurality of grid units, partial grid units in the grid units are used as central grid units according to a preset mode, each central grid unit is correspondingly provided with a noise monitoring device, the noise monitoring devices are used for monitoring noise data of the environment where the central grid units are located, and then the noise value of each central grid unit is obtained according to the noise data collected by the noise monitoring devices at the central grid units; and finally, determining the noise values of the grid cells around the central grid cell according to the noise value of the central grid cell to obtain the noise value of each grid cell. The noise value of each central grid unit is calculated through the noise data acquired by the noise monitoring equipment at each central grid unit, and then the noise value of the grid unit at the periphery of each central grid unit is calculated based on the noise value of each central grid unit, so that the noise value of each grid unit is obtained based on the noise data acquired by the noise monitoring equipment, the acquisition result of the noise monitoring equipment can cover various urban living noises such as living noises, industrial noises and building noises, namely the noise value of each grid unit covers various urban living noises such as living noises, industrial noises and building noises, and the accuracy and precision of the noise value are improved; meanwhile, a large-area is divided into small grid units, and the noise value of each small grid unit covering various urban living noises is calculated, so that the noise value distribution condition of a large-area range (such as the whole city) is simulated and obtained by utilizing a mode of calculating the noise value of the small grid unit, the obtained noise value of the area to be monitored is more accurate, and the accuracy of the noise value is further improved.
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A noise calculation method based on a high-density grid is characterized by comprising the following steps:
dividing a region to be monitored into a plurality of grid units;
taking part of the grid cells in the plurality of grid cells as central grid cells according to a preset mode, wherein each central grid cell is correspondingly provided with a noise monitoring device, and the noise monitoring devices are used for monitoring noise data of the environment where the central grid cell is located;
obtaining a noise value of the central grid unit according to noise data acquired by the noise monitoring equipment corresponding to the central grid unit;
and obtaining the noise values of the grid cells around the central grid cell according to the noise value of the central grid cell.
2. The method of high-density mesh-based noise computation of claim 1, wherein regarding some of the plurality of mesh cells as center mesh cells in a predetermined manner comprises:
and taking the grid cells which are uniformly distributed according to a preset distance in the plurality of grid cells as the central grid cells.
3. The method of claim 2, wherein obtaining the noise values of the grid cells surrounding the central grid cell according to the noise value of the central grid cell comprises:
and calculating a first distance between two adjacent central grid units, taking a half of the first distance as a radius, respectively taking each central grid unit in the two adjacent central grid units as a center, and calculating the noise value of the grid unit within the radius.
4. The high-density mesh-based noise calculation method according to claim 3, wherein the noise values of the mesh cells around the central mesh cell are obtained from the noise value of the central mesh cell, further comprising:
acquiring the noise value of each grid unit around the central grid unit according to the noise value of the central grid unit;
acquiring background noise of each grid cell around the central grid cell;
and obtaining the comprehensive noise value of each grid unit around the central grid unit according to the noise value of each grid unit around the central grid unit and the corresponding background noise.
5. The method of claim 4, wherein obtaining the noise value of each grid cell around the central grid cell according to the noise value of the central grid cell comprises:
calculating a second distance between each of the grid cells peripheral to the central grid cell and the central grid cell;
and calculating the noise value of each grid unit at the periphery of the central grid unit according to the attenuation condition of the noise value of the central grid unit at the second distance.
6. The high-density mesh-based noise computation method of claim 5, wherein obtaining the background noise for each of the mesh cells around the center mesh cell comprises:
determining the life scene type of each grid unit according to the functional characteristics of the buildings in each grid unit;
and determining the background noise corresponding to the life scene type of each grid unit according to the preset corresponding relation between the life scene type and the background noise.
7. The high-density mesh-based noise computation method of claim 1, wherein the method further comprises:
and obtaining a grid-form noise map according to the noise value of the central grid unit and the noise values of the grid units around the central grid unit.
8. A high-density mesh-based noise computation apparatus, comprising:
the grid division module is used for dividing the area to be monitored into a plurality of grid units;
the central grid determining module is used for taking part of the grid units in the plurality of grid units as central grid units according to a preset mode, each central grid unit is correspondingly provided with a noise monitoring device, and the noise monitoring devices are used for monitoring noise data of the environment where the central grid unit is located;
the first noise calculation module is used for acquiring a noise value of the central grid unit according to noise data acquired by the noise monitoring equipment corresponding to the central grid unit;
and the second noise calculation module is used for obtaining the noise values of the grid cells around the central grid cell according to the noise value of the central grid cell.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the high-density mesh-based noise calculation method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the high-density mesh-based noise calculation method according to any one of claims 1 to 7.
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