CN113450751A - Acoustic packet control method, apparatus, and computer-readable storage medium - Google Patents
Acoustic packet control method, apparatus, and computer-readable storage medium Download PDFInfo
- Publication number
- CN113450751A CN113450751A CN202110511819.4A CN202110511819A CN113450751A CN 113450751 A CN113450751 A CN 113450751A CN 202110511819 A CN202110511819 A CN 202110511819A CN 113450751 A CN113450751 A CN 113450751A
- Authority
- CN
- China
- Prior art keywords
- acoustic
- target
- optimization scheme
- acoustic material
- current
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 239000012814 acoustic material Substances 0.000 claims abstract description 160
- 238000005457 optimization Methods 0.000 claims abstract description 121
- 238000010521 absorption reaction Methods 0.000 claims description 25
- 238000000862 absorption spectrum Methods 0.000 claims description 16
- 238000001514 detection method Methods 0.000 claims description 9
- 230000031700 light absorption Effects 0.000 claims description 9
- 238000010586 diagram Methods 0.000 description 4
- 210000000883 ear external Anatomy 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000009413 insulation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000012774 insulation material Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 239000007779 soft material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/162—Selection of materials
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
Abstract
The application discloses an acoustic package control method, an acoustic package control device and a computer-readable storage medium. The preset scheme set comprises a first optimization scheme and a second optimization scheme, the first optimization scheme is related to noise sound volume, the second optimization scheme is unrelated to the noise sound volume, and acoustic materials adopted in the first optimization scheme and the second optimization scheme are different. According to the method, the target acoustic package can be optimized in real time according to the current numerical value of the noise volume, and different optimization schemes are adopted when the noise volume is different numerical values, so that the acoustic package control method provided by the application is suitable for various application scenes of vehicles, the sound pressure level in the vehicles can be reduced, and the noise environment in the vehicles is improved.
Description
Technical Field
The present application relates to the field of acoustic package technologies, and in particular, to an acoustic package control method, apparatus, and computer-readable storage medium.
Background
With the improvement of living standard, the comfort requirement of consumers when the consumers take the vehicles is higher, and the research on the NVH (Noise, Vibration, Harshness) of the vehicles is increasing. Vibration and noise are typically generated by a plurality of acoustic systems within the vehicle, each equipped with an acoustic package for noise control in the propagation path to improve the NVH performance of the vehicle. The prior art generally optimizes the acoustic package in the production stage of the vehicle, and optimally configures the acoustic package at the acoustic system, but cannot realize real-time optimization in the process of a consumer riding the vehicle.
Disclosure of Invention
The technical problem mainly solved by the application is to provide an acoustic package control method, an acoustic package control device and a computer-readable storage medium, which can optimize acoustic packages in a vehicle in real time.
In order to solve the technical problem, the application adopts a technical scheme that: provided is an acoustic packet control method including:
determining a target acoustic package and detecting a current value of noise volume in the vehicle; wherein the target acoustic package is an acoustic package provided at a target acoustic system of the vehicle, the target acoustic package containing a number of acoustic materials for covering the target acoustic system;
selecting a target optimization scheme from a preset scheme set based on the current numerical value of the noise volume, and controlling the target acoustic packet according to the target optimization scheme; the preset scheme set comprises a first optimization scheme and a second optimization scheme, the first optimization scheme is related to the noise sound volume, the second optimization scheme is unrelated to the noise sound volume, and acoustic materials adopted in the first optimization scheme and the second optimization scheme are different respectively.
In order to solve the above technical problem, another technical solution adopted by the present application is: provided is an acoustic packet control device including:
a number of acoustic packages, a noise sensor, a memory, and a processor coupled to the number of acoustic packages, the noise sensor, and the memory, respectively;
the acoustic packages are respectively equipped at acoustic systems of a vehicle, the noise sensor is located in the vehicle, the memory stores program instructions, and the processor can execute the program instructions and cooperate with the acoustic packages and the noise sensor to realize the acoustic package control method in the technical scheme.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a computer-readable storage medium storing program instructions executable by a processor to implement the control method of the above technical solution.
The beneficial effect of this application is: the acoustic package control method provided by the application firstly determines a target acoustic package, detects a current numerical value of noise volume in a vehicle, selects a target optimization scheme from a preset scheme set based on the current numerical value, and controls the target acoustic package according to the target optimization scheme. The preset scheme set comprises a first optimization scheme and a second optimization scheme, the first optimization scheme is related to noise sound volume, the second optimization scheme is unrelated to the noise sound volume, and acoustic materials adopted in the first optimization scheme and the second optimization scheme are different. Therefore, the target acoustic package can be optimized in real time according to the current numerical value of the noise sound volume, and different optimization schemes are adopted when the noise sound volume is different numerical values, so that the acoustic package control method provided by the application is suitable for various application scenes of vehicles, the sound pressure level in the vehicles can be reduced, and the noise environment in the vehicles can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced 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 without creative efforts. Wherein:
fig. 1 is a schematic flow chart of an embodiment of an acoustic packet control method according to the present application;
FIG. 2 is a schematic flow chart illustrating an embodiment of step S11 in FIG. 1;
FIG. 3 is a flowchart illustrating an embodiment of step S12 in FIG. 1;
FIG. 4 is a schematic flow chart illustrating another embodiment of step S12 in FIG. 1;
FIG. 5 is a flowchart illustrating an embodiment of step S41 in FIG. 4;
FIG. 6 is a flowchart illustrating an embodiment of step S42 in FIG. 4;
FIG. 7 is a schematic structural diagram of an embodiment of an acoustic packet control apparatus according to the present application;
FIG. 8 is a schematic structural diagram of an embodiment of a computer-readable storage medium according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be obtained by a person skilled in the art without making any inventive step based on the embodiments in the present application belong to the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an embodiment of an acoustic packet control method according to the present application, including the following steps.
Step S11, a target acoustic package is determined and a current value of the noise volume in the vehicle is detected.
In vehicles such as automobiles and ships, a plurality of acoustic systems are generally used for generating vibration and noise, such as automobile trunks, engines, automobile tires, gearboxes and the like, and consumers can receive the noise transmitted by the acoustic systems when riding in the vehicles. The present embodiment first determines a target acoustic package, that is, an acoustic package provided at a target acoustic system of a vehicle, among the acoustic packages, wherein the target acoustic package contains several acoustic materials for covering the target acoustic system, and the target acoustic package is configured to be controlled so as to adjust the type and coverage rate of the acoustic materials.
Specifically, referring to fig. 2, in one embodiment, fig. 2 is a flowchart illustrating an embodiment of step S11 in fig. 1, and the target acoustic package may be determined through the following steps.
In step S21, the contribution ratio of each acoustic system of the vehicle to the noise in the vehicle is obtained.
The contribution ratio of an acoustic system is the ratio of the noise volume of the acoustic system to the sum of the noise volumes of all acoustic systems. Specifically, the noise sound quantity may be acquired by a noise sensor provided at a predetermined position in the vehicle, for example, a position where the influence on the consumer who rides the vehicle is most significant, such as the outer ear side of the driver seat, the outer ear side of the passenger seat, the outer ear side of the rear seat, and the like. In order to obtain the noise volume of a certain acoustic system, it is necessary to block the noise transmission path of other acoustic systems, that is, to keep a mute state, and only allow the acoustic system to emit noise. And sequentially operating each acoustic system in such a way that the sum of the noise volume can be obtained, so that the contribution ratio of each acoustic system to the noise in the vehicle can be obtained.
In step S22, the acoustic system corresponding to the contribution ratio satisfying the preset condition is set as the target acoustic system.
After the contribution ratios of the respective acoustic systems are obtained, the target acoustic system may be screened out according to a preset condition, for example, the acoustic system with the largest contribution ratio is selected as the target acoustic system, and for example, the acoustic system with the contribution ratio higher than a certain threshold (for example, 0.2) is selected as the target acoustic system. Therefore, one or more target acoustic systems which have the most obvious contribution to noise in the vehicle can be quickly and accurately positioned, and the subsequent optimization of the propagation path of the noise is facilitated.
In step S23, the acoustic package provided at the target acoustic system is set as the target acoustic package.
After the target acoustic system is determined, the acoustic packet equipped by the target acoustic system is naturally used as the target acoustic packet, so that the target acoustic system can be conveniently adjusted in real time according to the current numerical value of the noise volume acquired in real time, and the noise environment in the vehicle can be improved in real time.
The method screens the target acoustic system and the target acoustic package based on the contribution ratio of the noise, and can quickly and accurately position the acoustic package which has the most obvious influence on the noise environment in the vehicle, so that optimization is performed, and the method is favorable for improving the noise environment in the vehicle in real time.
Step S12, selecting a target optimization scheme from a preset scheme set based on the current value of the noise volume, and controlling a target acoustic package according to the target optimization scheme; the preset scheme set comprises a first optimization scheme and a second optimization scheme, the first optimization scheme is related to noise sound volume, the second optimization scheme is unrelated to the noise sound volume, and acoustic materials adopted in the first optimization scheme and the second optimization scheme are different.
After the target acoustic packet is determined and the current value of the noise volume in the vehicle is obtained, the target acoustic packet needs to be optimized based on the current value. The method comprises the steps that a preset scheme set is preset, a plurality of optimization schemes are included, and the optimization schemes can optimize a target acoustic package.
Referring to fig. 3 in detail, fig. 3 is a flowchart illustrating an embodiment of step S12 in fig. 1, and a target optimization scheme can be selected from a preset scheme set through the following steps.
Step S31, determine whether the current value is greater than the preset volume threshold.
After the current value of the noise volume is obtained, whether the current value of the noise volume is larger than a preset volume threshold (for example, 400Hz) or not can be judged, so that different optimization directions can be selected according to the current value and the method can be applied to different noise environments.
And step S32, if yes, selecting a first optimization scheme.
And if the current value of the noise volume is larger than the volume threshold value, selecting a first optimization scheme, and controlling the target acoustic packet according to the first optimization scheme, wherein the first optimization scheme is related to the noise volume. That is to say, when the noise volume is large, the first optimization scheme is selected, and the parameters in the first optimization scheme are adjusted in real time according to the change of the current value of the noise volume, so that the optimization mode is flexible.
Step S33, otherwise, a second optimization scheme is selected.
And if the current value of the noise volume is not greater than the volume threshold value, selecting a second optimization scheme, and controlling the target acoustic packet according to the second optimization scheme, wherein the second optimization scheme is independent of the noise volume. That is, when the noise volume is small, the second optimization scheme is selected, wherein the parameters are invariant, that is, the parameters do not change along with the change of the current value of the noise volume, and a better optimization effect is obtained on the basis of the simplified optimization scheme.
Specifically, the process can be implemented by setting different acoustic materials and different coverage rates in the first optimization scheme and the second optimization scheme respectively.
According to the method, the target acoustic package can be optimized in real time according to the current numerical value of the noise volume, and different optimization schemes are adopted when the noise volume is different numerical values, so that the acoustic package control method provided by the embodiment can obtain a better noise optimization effect in various application scenes of the vehicle, the sound pressure level in the vehicle is reduced, and the noise environment in the vehicle is improved.
In one embodiment, referring to fig. 4, fig. 4 is a schematic flow chart of another embodiment of step S12 in fig. 1, and the target acoustic packet can be controlled according to the target optimization scheme through the following steps.
Step S41, acquiring a judgment result about whether to switch the current acoustic material based on the absorption spectrum of the current acoustic material to the preset light wave; wherein the current acoustic material is the acoustic material currently covered at the target acoustic system.
As described above, the target acoustic package contains several acoustic materials for covering the target acoustic system, and the control of the target acoustic package according to the target optimization scheme is specifically realized by controlling the acoustic materials, so that it is necessary to first determine whether to switch the current acoustic material. The present embodiment obtains the determination result by using the principle that the absorption spectra of different acoustic materials for the preset light waves are different, and a specific process will be described below.
And step S42, controlling the target acoustic package according to the judgment result and the target optimization scheme.
The target optimization plan includes a coverage of the target acoustic material at the target acoustic system employed by the target optimization plan. After the determination result about whether to switch the current acoustic material is obtained, whether to switch the current acoustic material can be known, and the target acoustic material is further controlled in combination with the coverage rate to optimize the target acoustic package.
According to the method and the device, whether the current acoustic material needs to be switched or not is judged through the absorption spectrum of the current acoustic material, and the target acoustic material is further controlled according to the coverage rate in the target optimization scheme, so that the target optimization scheme is utilized more accurately and efficiently, and the noise environment in a vehicle is optimized.
In one embodiment, referring to fig. 5, fig. 5 is a flowchart illustrating an embodiment of step S41 in fig. 4, and the determination result as to whether to switch the current acoustic material may be obtained through the following steps.
Step S51, collecting light absorption data of the current acoustic material irradiated by the preset light wave.
The types of acoustic materials contained in the acoustic package are limited and known, and the wavelength corresponding to the strongest absorption peak of each acoustic material can be measured in advance within the wavelength range of the preset light wave, so that the present embodiment irradiates the preset light wave (for example, infrared light, visible light, and the like) on the current acoustic material, specifically irradiates the current acoustic material with at least the light wave with the wavelength corresponding to the strongest absorption peak of each acoustic material, and respectively collects the light intensity reflected by the current acoustic material on the light wave with each wavelength by using the light intensity sensor, thereby obtaining the light absorption data of the current acoustic material on each light wave. For example, there are a total of two acoustic materials with the respective wavelengths λ corresponding to the strongest absorption peaks1And λ2Then at least respectively with a wavelength of λ1And λ2The light waves irradiate the current acoustic material and respectively collect the reflected light intensity, thereby calculating the wavelength of the current acoustic material as lambda1And λ2Light absorption data of two light waves.
In step S52, an absorption spectrum is plotted based on the light absorption data.
The light absorption data are specifically the absorption rates of light waves with different wavelength values and corresponding wavelength values of the current acoustic material, and after the light absorption data are collected, the light absorption data are drawn into an absorption spectrum which is presented in an image format, so that the strongest absorption peak of the current acoustic material can be obtained based on an image processing method.
And step S53, performing corner point detection on the absorption spectrum to obtain the strongest absorption peak of the current acoustic material, and determining the current acoustic material based on the wavelength range where the strongest absorption peak is located.
Specifically, the acoustic materials in this embodiment include a first acoustic material and a second acoustic material, and the first optimization scheme employs the first acoustic material and the second optimization scheme employs the second acoustic material. After the absorption spectrum of the image format is acquired, the contact point detection can be performed on the absorption spectrum, and the wavelength corresponding to the strongest absorption peak of the current acoustic material is determined, so that whether the current acoustic material is the first acoustic material or the second acoustic material is determined.
The angular point detection is an image local characteristic point detection algorithm, and can detect the turning point position of an absorption rate curve in an absorption spectrum. Assuming that the strongest absorption peak of the first acoustic material is at λ1At wavelength, the strongest absorption peak of the second acoustic material is at λ2At the wavelength, and the current acoustic material is the first acoustic material, the absorption spectrum plotted by the step S52 is inevitably at λ1Exhibits the highest peak at wavelength, at λ2The wavelength shows a smaller peak or no peak, so that the wavelength corresponding to the strongest absorption peak can be determined. For specific corner detection, a Harris corner algorithm disclosed in the prior art can be referred to, and details are not repeated here.
After determining the wavelength corresponding to the strongest absorption peak of the current acoustic material by using corner point detection, the wavelength range in which the wavelength is located can be judged. Specifically, in the case where the strongest absorption peak is located in the first wavelength range, it is determined that the current acoustic material is the first acoustic material; determining that the current acoustic material is a second acoustic material when the strongest absorption peak is in a second wavelength range; wherein the first wavelength range and the second wavelength range do not overlap. The change of the application scene of the vehicle may cause the light absorption data of the acoustic material to fluctuate, and therefore, a first wavelength range and a second wavelength range which are not overlapped are preset, the first wavelength range comprises the wavelength corresponding to the strongest absorption peak of the first acoustic material, and the second wavelength range comprises the wavelength corresponding to the strongest absorption peak of the second acoustic material, so that the type of the current acoustic material can be determined more quickly and accurately.
And step S54, obtaining a judgment result based on whether the current acoustic material is the same as the acoustic material adopted by the target optimization scheme.
After the target optimization scheme is selected and the type of the current acoustic material is determined, whether the current acoustic material is the same as the acoustic material adopted by the target optimization scheme or not can be further judged, so that a judgment result about whether the current acoustic material is switched or not is obtained. Specifically, if the current acoustic material is the same as the acoustic material adopted by the target optimization scheme, the current acoustic material does not need to be switched according to the judgment result; and if the current acoustic material is different from the acoustic material adopted by the target optimization scheme, judging that the current acoustic material needs to be switched according to the result.
According to the method, the type of the current acoustic material is determined by collecting the absorption spectrum of the current acoustic material and further combining with an image processing algorithm of corner detection, and then the type of the current acoustic material can be compared with the acoustic material adopted by a target optimization scheme to judge whether the current acoustic material needs to be switched or not, so that the target optimization scheme is utilized more accurately and efficiently, and the noise environment in a vehicle is optimized.
In one embodiment, referring to fig. 6, fig. 6 is a flowchart illustrating an embodiment of step S42 in fig. 4, and the target acoustic package can be controlled through the following steps.
And step S61, based on the judgment result, switching the current acoustic material to be the target acoustic material or taking the current acoustic material as the target acoustic material.
And if the current acoustic material is different from the target acoustic material adopted by the target optimization scheme, judging that the current acoustic material needs to be switched according to the judgment result, and further switching the current acoustic material into the target acoustic material.
And if the current acoustic material is the same as the acoustic material adopted by the target optimization scheme, judging that the current acoustic material does not need to be switched according to the judgment result, and further taking the current acoustic material as the target acoustic material, namely keeping the current acoustic material unchanged.
Step S62, controlling the target acoustic material to cover the target acoustic system according to the coverage rate.
In this embodiment, the first coverage of the first acoustic material used in the first optimization scheme is related to the noise volume, and the second coverage of the second acoustic material used in the second optimization scheme is independent of the noise volume.
Specifically, the first coverage rate is in positive correlation with the current value of the noise volume, and preferably the first coverage rate varies from 10% to 100%. When the target optimization scheme is determined to be the first optimization scheme and the current acoustic material is ensured to be the first acoustic material, the first coverage rate of the first acoustic material in the target acoustic system can be obtained based on the current value of the noise volume and the positive correlation, and then the first acoustic material is controlled to cover the target acoustic system according to the first coverage rate. Therefore, in an application scenario with relatively high noise, the coverage rate of the first acoustic material at the target acoustic system can be increased according to the increase of the current value of the noise sound volume, and the coverage rate of the first acoustic material at the target acoustic system can also be decreased according to the decrease of the current value of the noise sound volume, so that the current acoustic package is flexibly optimized, and the noise environment in the vehicle is improved.
For example, if the current value of the noise volume is 500Hz and exceeds the volume threshold, a first optimization scheme is selected, and at this time, it is determined that the current acoustic material is the first acoustic material, and no switching is required, a first coverage rate is obtained according to the positive correlation between the noise volume and the first coverage rate, for example, 30%, and the coverage rate of the first acoustic material is adjusted to 30%. Then, the current value of the noise volume is obtained again, and the next adjustment process is started.
Specifically, the second coverage rate is a predetermined value, such as 80%, 90%, or 100%. In the case where the target optimization scheme is determined to be the second optimization scheme and it is ensured that the current acoustic material is the second acoustic material, the second acoustic material may be controlled to cover the target acoustic system at the second coverage rate. That is, the coverage of the second acoustic material is directly adjusted to the second coverage without changing according to the change of the current value of the noise sound volume. Therefore, in an application scene with low noise, the target acoustic package is adjusted by adopting a relatively fixed optimization scheme, so that the optimization difficulty is reduced, and the noise environment in the vehicle is improved.
For example, if the current value of the noise volume is 300Hz, the second coverage is preset to 100%, and the current value does not exceed the volume threshold, the second optimization scheme is selected, and it is determined that the current acoustic material is the first acoustic material and not the second acoustic material, which indicates that the acoustic material needs to be switched, and the current acoustic material is directly switched to the second acoustic material with 100% coverage. Then, the current value of the noise volume is obtained again, and the next adjustment process is started.
In the embodiment, the sound absorption performance of the first acoustic material adopted in the first optimization scheme is better than that of the second acoustic material adopted in the second optimization scheme, and the sound insulation performance of the first acoustic material adopted in the second optimization scheme is better than that of the second acoustic material adopted in the first optimization scheme. For example, the first acoustic material is a soft-hard layer composite material containing a carpet soft material, the sound insulation performance is weak, the sound absorption performance is excellent, and the sound insulation material is suitable for application scenes with large noise.
Based on the same inventive concept, the present embodiment further provides an acoustic packet control apparatus, please refer to fig. 7, fig. 7 is a schematic structural diagram of an embodiment of the acoustic packet control apparatus of the present application, and the control apparatus 700 includes a plurality of acoustic packets 710, a noise sensor 720, a memory 730, and a processor 740 respectively coupled to the plurality of acoustic packets 710, the noise sensor 720, and the memory 730. Two acoustic packages 710 are schematically depicted in fig. 7.
The plurality of acoustic packages 710 are respectively equipped at a plurality of acoustic systems of a vehicle, the noise sensor 720 is located in the vehicle, the memory 730 stores program instructions, and the processor 740 is capable of executing the program instructions and implementing the acoustic package control method according to any of the above embodiments in cooperation with the plurality of acoustic packages 710 and the noise sensor 720.
Specifically, the processor 740 determines a target acoustic packet from the plurality of acoustic packets 710 according to the method described in any of the above embodiments, detects a current value of the noise volume in the vehicle by using the noise sensor 720, selects a target optimization scheme from the preset scheme set based on the current value, and controls the target acoustic packet according to the target optimization scheme corresponding to the current value. For a specific control process, reference may be made to any of the above embodiments, which are not described herein again.
According to the method, the target acoustic package can be optimized in real time according to the current numerical value of the noise volume, and different optimization schemes are adopted when the noise volume is different numerical values, so that the acoustic package control method provided by the embodiment can obtain a better noise optimization effect in various application scenes of the vehicle, and the noise environment in the vehicle is improved.
Based on the same inventive concept, the present embodiment further provides a computer-readable storage medium, please refer to fig. 8, fig. 8 is a schematic structural diagram of an embodiment of the computer-readable storage medium of the present application, the storage medium 800 stores program instructions 810, and the program instructions 810 can be executed by a processor to implement the acoustic packet control method according to any of the above embodiments. For details, reference may be made to any of the above embodiments, which are not described herein again.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. An acoustic packet control method, comprising:
determining a target acoustic package and detecting a current value of noise volume in the vehicle; wherein the target acoustic package is an acoustic package provided at a target acoustic system of the vehicle, the target acoustic package containing a number of acoustic materials for covering the target acoustic system;
selecting a target optimization scheme from a preset scheme set based on the current numerical value of the noise volume, and controlling the target acoustic packet according to the target optimization scheme; the preset scheme set comprises a first optimization scheme and a second optimization scheme, the first optimization scheme is related to the noise sound volume, the second optimization scheme is unrelated to the noise sound volume, and acoustic materials adopted in the first optimization scheme and the second optimization scheme are different respectively.
2. The method of claim 1, wherein prior to said controlling said target acoustic packet according to said target optimization scheme, said method further comprises:
acquiring a judgment result about whether to switch the current acoustic material based on the absorption spectrum of the current acoustic material to a preset light wave; wherein the current acoustic material is an acoustic material currently covered at the target acoustic system;
the controlling the target acoustic packet according to the target optimization scheme includes:
and controlling the target acoustic package according to the judgment result and the target optimization scheme.
3. The method according to claim 2, wherein the obtaining of the determination result about whether to switch the current acoustic material based on the absorption spectrum of the current acoustic material for the preset light wave comprises:
performing corner point detection on the absorption spectrum to obtain a strongest absorption peak of the current acoustic material, and determining the current acoustic material based on a wavelength range where the strongest absorption peak is located;
and obtaining the judgment result based on whether the current acoustic material is the same as the acoustic material adopted by the target optimization scheme.
4. The method of claim 3, wherein the acoustic material comprises a first acoustic material and a second acoustic material, and the first optimization scheme employs the first acoustic material and the second optimization scheme employs the second acoustic material;
before the performing corner detection on the absorption spectrum, the method further comprises:
collecting light absorption data of preset light waves irradiated on the current acoustic material;
plotting the absorption spectrum based on the light absorption data;
determining the current acoustic material based on the wavelength range in which the strongest absorption peak is located, including:
determining that the current acoustic material is the first acoustic material if the strongest absorption peak is in a first wavelength range;
determining that the current acoustic material is the second acoustic material if the strongest absorption peak is located in a second wavelength range; wherein the first wavelength range and the second wavelength range do not overlap.
5. The method of claim 2, wherein the target optimization scheme comprises a coverage of a target acoustic material at the target acoustic system employed by the target optimization scheme, and wherein the coverage of the acoustic material employed by the first optimization scheme is related to the noise volume and the coverage of the acoustic material employed by the second optimization scheme is independent of the noise volume; the controlling the target acoustic packet according to the judgment result and the target optimization scheme includes:
switching the current acoustic material to be the target acoustic material or taking the current acoustic material as the target acoustic material based on the determination result;
and controlling the target acoustic material to cover the target acoustic system according to the coverage rate.
6. The method of claim 5, wherein the acoustic material used in the first optimization scheme is a first acoustic material, and in the case that the target optimization scheme is the first optimization scheme, the controlling the target acoustic material to cover the target acoustic system according to the coverage rate comprises:
obtaining a first coverage rate of the first acoustic material in the target acoustic system based on the current value of the noise volume; wherein the first coverage rate is in positive correlation with the current value of the noise volume;
controlling the first acoustic material to cover the target acoustic system according to the first coverage rate.
7. The method of claim 5, wherein the acoustic material used in the second optimization scheme is a second acoustic material, and in the case that the target optimization scheme is the second optimization scheme, the controlling the target acoustic material to cover the target acoustic system according to the coverage ratio comprises:
controlling the second acoustic material to cover the target acoustic system according to the second coverage rate; wherein, the second coverage rate is a preset value.
8. The method of claim 1, wherein selecting a target optimization scheme from a set of preset schemes based on the current value of the noise volume comprises:
judging whether the current numerical value is larger than a preset sound volume threshold value or not;
if so, selecting a first optimization scheme;
otherwise, a second optimization scheme is selected.
9. An acoustic packet control apparatus, comprising:
a number of acoustic packages, a noise sensor, a memory, and a processor coupled to the number of acoustic packages, the noise sensor, and the memory, respectively;
wherein the plurality of acoustic packages are respectively provided at a plurality of acoustic systems of a vehicle in which the noise sensor is located, the memory storing program instructions executable by the processor to implement the acoustic package control method of any one of claims 1-8 in cooperation with the plurality of acoustic packages and the noise sensor.
10. A computer-readable storage medium, characterized in that the storage medium stores program instructions executable by a processor to implement the acoustic packet control method of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110511819.4A CN113450751B (en) | 2021-05-11 | 2021-05-11 | Acoustic packet control method, apparatus, and computer-readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110511819.4A CN113450751B (en) | 2021-05-11 | 2021-05-11 | Acoustic packet control method, apparatus, and computer-readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113450751A true CN113450751A (en) | 2021-09-28 |
| CN113450751B CN113450751B (en) | 2024-05-31 |
Family
ID=77809553
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110511819.4A Active CN113450751B (en) | 2021-05-11 | 2021-05-11 | Acoustic packet control method, apparatus, and computer-readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113450751B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102475554A (en) * | 2010-11-24 | 2012-05-30 | 比亚迪股份有限公司 | Method for guiding interior sound package by utilizing sound quality |
| US20150279345A1 (en) * | 2014-03-27 | 2015-10-01 | Abhishek Mathur | Acoustic metamaterial architectured composite layers, methods of manufacturing the same, and methods for noise control using the same |
| CN105939695A (en) * | 2013-09-02 | 2016-09-14 | 阿斯派克影像有限公司 | Incubator having noise elimination mechanism and method of same |
| CN109625156A (en) * | 2018-10-29 | 2019-04-16 | 中船动力研究院有限公司 | The forecast of ship full frequency band cabin noise and Acoustic Optimization design method |
| CN109660916A (en) * | 2018-12-18 | 2019-04-19 | 安徽江淮汽车集团股份有限公司 | A method of optimization internal car noise acoustics packet |
| US20190129682A1 (en) * | 2017-10-31 | 2019-05-02 | Club Car, Llc | Dynamic acoustic control and vehicle auditory optimization |
| WO2020056337A1 (en) * | 2018-09-15 | 2020-03-19 | Baker Hughes, A Ge Company, Llc | Stealth applications of acoustic hyperabsorption by acoustically dark metamaterial cells |
| CN111222005A (en) * | 2020-01-08 | 2020-06-02 | 科大讯飞股份有限公司 | Voiceprint data reordering method and device, electronic equipment and storage medium |
| JP2021018368A (en) * | 2019-07-23 | 2021-02-15 | 株式会社神戸製鋼所 | Shape optimization system, shape optimization method, and program |
-
2021
- 2021-05-11 CN CN202110511819.4A patent/CN113450751B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102475554A (en) * | 2010-11-24 | 2012-05-30 | 比亚迪股份有限公司 | Method for guiding interior sound package by utilizing sound quality |
| CN105939695A (en) * | 2013-09-02 | 2016-09-14 | 阿斯派克影像有限公司 | Incubator having noise elimination mechanism and method of same |
| US20150279345A1 (en) * | 2014-03-27 | 2015-10-01 | Abhishek Mathur | Acoustic metamaterial architectured composite layers, methods of manufacturing the same, and methods for noise control using the same |
| US20190129682A1 (en) * | 2017-10-31 | 2019-05-02 | Club Car, Llc | Dynamic acoustic control and vehicle auditory optimization |
| WO2020056337A1 (en) * | 2018-09-15 | 2020-03-19 | Baker Hughes, A Ge Company, Llc | Stealth applications of acoustic hyperabsorption by acoustically dark metamaterial cells |
| CN109625156A (en) * | 2018-10-29 | 2019-04-16 | 中船动力研究院有限公司 | The forecast of ship full frequency band cabin noise and Acoustic Optimization design method |
| CN109660916A (en) * | 2018-12-18 | 2019-04-19 | 安徽江淮汽车集团股份有限公司 | A method of optimization internal car noise acoustics packet |
| JP2021018368A (en) * | 2019-07-23 | 2021-02-15 | 株式会社神戸製鋼所 | Shape optimization system, shape optimization method, and program |
| CN111222005A (en) * | 2020-01-08 | 2020-06-02 | 科大讯飞股份有限公司 | Voiceprint data reordering method and device, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 邓江华;宋俊;李灿;张斌瑜;: "乘用车声学包设计开发与优化技术研究", 声学技术, no. 04 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113450751B (en) | 2024-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11950067B2 (en) | Communication system for multiple acoustic zones | |
| US20120221341A1 (en) | Motor-vehicle voice-control system and microphone-selecting method therefor | |
| JP6439687B2 (en) | Audio processing system, audio processing method, audio processing program, vehicle equipped with audio processing system, and microphone installation method | |
| US9245519B2 (en) | Forward speaker noise cancellation in a vehicle | |
| US8195246B2 (en) | Optimized method of filtering non-steady noise picked up by a multi-microphone audio device, in particular a “hands-free” telephone device for a motor vehicle | |
| US20170116983A1 (en) | Speech collector in car cabin | |
| EP3314605B1 (en) | Transitioning between arrayed and in-phase speaker configurations for active noise reduction | |
| US20120082330A1 (en) | Method for signal processing in a hearing aid and hearing aid | |
| CN104737475A (en) | Wind noise detection for in-car communication systems with multiple acoustic zones | |
| CN107277685B (en) | System and method for electronic sound enhancement tuning | |
| US20220021970A1 (en) | Apparatus, Methods and Computer Programs for Controlling Noise Reduction | |
| US20190061735A1 (en) | Method and Device for Operating a Hybrid Vehicle Comprising an Electric Energy Store, an Electric Motor and an Internal Combustion Engine | |
| CN111599366B (en) | Vehicle-mounted multitone region voice processing method and related device | |
| CN113450751A (en) | Acoustic packet control method, apparatus, and computer-readable storage medium | |
| CN118072708A (en) | Vehicle noise reduction control method, device and system and vehicle | |
| CN112216298A (en) | Method, device and equipment for orienting sound source by double-microphone array | |
| JP2019119375A (en) | Tire noise reduction device | |
| CN115602141A (en) | Active acoustic stealth method for frogman | |
| CN112672255B (en) | Method and device for adaptively adjusting volume of sound source of whole vehicle | |
| JP2019080246A (en) | Directivity control device and directivity control method | |
| KR20180117756A (en) | Air conditioning system for automotive vehicles | |
| KR20220140898A (en) | narrowband cancellation | |
| CN111951775A (en) | In-vehicle sound quality optimization system and optimization method | |
| EP4425961A1 (en) | Method of operating a vehicle, data processing circuit, computer program, computer-readable medium, and system for providing a transformed cabin sound | |
| JP2005244813A (en) | Acoustic signal processor, method for processing acoustic signal, and adjusting method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |