CN113450751B - Acoustic packet control method, apparatus, and computer-readable storage medium - Google Patents
Acoustic packet control method, apparatus, and computer-readable storage medium Download PDFInfo
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- CN113450751B CN113450751B CN202110511819.4A CN202110511819A CN113450751B CN 113450751 B CN113450751 B CN 113450751B CN 202110511819 A CN202110511819 A CN 202110511819A CN 113450751 B CN113450751 B CN 113450751B
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 239000012814 acoustic material Substances 0.000 claims abstract description 168
- 238000005457 optimization Methods 0.000 claims abstract description 121
- 238000010521 absorption reaction Methods 0.000 claims description 26
- 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
- 238000002835 absorbance Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 4
- 238000009413 insulation Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 239000005038 ethylene vinyl acetate Substances 0.000 description 2
- 229920001200 poly(ethylene-vinyl acetate) Polymers 0.000 description 2
- 229920006124 polyolefin elastomer Polymers 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 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
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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 irrelevant to the noise sound volume, and acoustic materials adopted in the first optimization scheme and acoustic materials adopted in the second optimization scheme are different. According to the application, the target acoustic package can be optimized in real time according to the current value of the noise sound quantity, and different optimization schemes are adopted when the noise sound quantity is different 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 packet technologies, and in particular, to an acoustic packet control method, an acoustic packet control device, and a computer readable storage medium.
Background
With the improvement of living standard, the requirements of consumers on comfort when riding vehicles are higher, and the research on NVH (Noise Vibration, HARSHNESS sound Vibration roughness) of vehicles is increasing. There are typically multiple acoustic systems within a vehicle that generate vibration and noise, each equipped with an acoustic package for controlling noise in the propagation path to improve vehicle NVH performance. The prior art generally optimizes acoustic packages at the production stage of the vehicle, equips the acoustic system with an optimally configured acoustic package, but does not enable real-time optimization during the customer's ride on the vehicle.
Disclosure of Invention
The application mainly solves the technical problem of providing an acoustic package control method, an acoustic package control device and a computer readable storage medium, which can optimize an acoustic package in a vehicle in real time.
In order to solve the technical problems, the application adopts a technical scheme that: provided is an acoustic packet control method including:
Determining a target acoustic packet and detecting a current value of noise volume in the vehicle; wherein the target acoustic package is an acoustic package equipped 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 value of the noise volume, and controlling 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 the noise sound quantity, the second optimization scheme is irrelevant to the noise sound quantity, and acoustic materials adopted in the first optimization scheme and acoustic materials adopted in the second optimization scheme are different.
In order to solve the technical problems, the application adopts another technical scheme that: there is provided an acoustic packet control apparatus including:
a number of acoustic packets, a noise sensor, a memory, and a processor coupled to the number of acoustic packets, the noise sensor, and the memory, respectively;
The acoustic package control method is characterized in that the acoustic packages are respectively arranged at a plurality of 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 order to solve the technical problems, the application adopts another technical scheme that: there is provided a computer-readable storage medium storing program instructions executable by a processor to implement the control method of the above-described technical solution.
The beneficial effects of the application are as follows: the acoustic package control method provided by the application comprises the steps of firstly determining a target acoustic package, detecting the current value of noise sound quantity in a vehicle, selecting a target optimization scheme from a preset scheme set based on the current value, and controlling 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 irrelevant to the noise sound volume, and acoustic materials adopted in the first optimization scheme and acoustic materials adopted in the second optimization scheme are different. Therefore, the method can optimize the target acoustic package in real time according to the current value of the noise sound quantity, and adopts different optimization schemes when the noise sound quantity is different values, so that the acoustic package control method provided by the application is suitable for various application scenes of the traffic tool, can reduce the sound pressure level in the traffic tool, and improves the noise environment in the traffic tool.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flow chart of an embodiment of an acoustic packet control method according to the present application;
FIG. 2 is a flow chart of an embodiment of the step S11 in FIG. 1;
FIG. 3 is a flowchart illustrating the step S12 of FIG. 1;
FIG. 4 is a flowchart illustrating the step S12 of FIG. 1 according to another embodiment;
FIG. 5 is a flowchart of the step S41 of FIG. 4;
FIG. 6 is a flowchart illustrating the step S42 of FIG. 4 according to an embodiment;
FIG. 7 is a schematic diagram of an acoustic packet control device according to an embodiment of 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 following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to fall within the scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart of an embodiment of an acoustic packet control method according to the present application, which includes the following steps.
Step S11, determining a target acoustic packet and detecting the current value of noise volume in the vehicle.
In vehicles such as automobiles and ships, there are often a plurality of acoustic systems that generate vibrations and noise, such as automobile trunk, engine, automobile tires, gear box, etc., and the noise transmitted by these acoustic systems can be received by a consumer while sitting inside the vehicle, and in order to optimize the sitting experience, the noise can be controlled in the propagation path, such as by providing an acoustic bag at each acoustic system. The present embodiment first determines a target acoustic package among these acoustic packages, that is, an acoustic package equipped at a target acoustic system of a vehicle, wherein the target acoustic package contains several acoustic materials for covering the target acoustic system, and the target acoustic package is set to be controllable so as to adjust the kind and coverage of the acoustic materials in the present application.
Specifically, in one embodiment, referring to fig. 2, fig. 2 is a schematic flow chart of an embodiment of step S11 in fig. 1, the target acoustic packet may be determined by the following steps.
Step S21, a contribution ratio of each acoustic system of the vehicle to 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. The noise amount can be acquired by a noise sensor provided at a preset position in the vehicle, for example, a position on the auricle side of the driver seat, the auricle side of the co-driver, the auricle side of the rear seat, or the like, which has the most remarkable influence on the consumer riding the vehicle. In order to obtain the noise level of one acoustic system, it is necessary to block the noise transmission path of the other acoustic system, i.e. keep the mute state, and only allow the acoustic system to emit noise. The noise volume sum can be obtained by operating each acoustic system in turn, so that the contribution ratio of each acoustic system to the noise in the vehicle can be obtained.
And S22, taking the acoustic system corresponding to the contribution ratio meeting the preset condition as a target acoustic system.
After the contribution ratio of each acoustic system is obtained, the target acoustic system may be screened according to a preset condition, for example, an acoustic system with the largest contribution ratio is selected as the target acoustic system, and for example, an acoustic system with the contribution ratio higher than a certain threshold (for example, 0.2) is selected as the target acoustic system. Thus, one or more target acoustic systems with the most obvious contribution to noise in the vehicle can be quickly and accurately positioned, and the follow-up optimization of the propagation path of the noise is facilitated.
Step S23, an acoustic packet provided at the target acoustic system is set as a target acoustic packet.
After the target acoustic system is determined, the acoustic package is naturally used as the target acoustic package, so that the target acoustic system is convenient to adjust in real time according to the current value of the noise volume acquired in real time, and the noise environment in the vehicle is improved in real time.
According to the method, the target acoustic system and the target acoustic package are screened based on the noise contribution ratio, the acoustic package which has the most obvious influence on the noise environment in the vehicle can be rapidly and accurately positioned, so that the optimization is performed, and the real-time improvement of the noise environment in the vehicle is facilitated.
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 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 noise sound volume, the second optimization scheme is irrelevant to the noise sound volume, and acoustic materials adopted in the first optimization scheme and acoustic materials adopted in the second optimization scheme are different.
After the target acoustic package is determined and the current value of the noise volume in the vehicle is obtained, the target acoustic package needs to be optimized based on the current value. The application is preset with a preset scheme set, wherein the preset scheme set comprises a plurality of optimization schemes, and the optimization schemes can optimize the target acoustic package.
Referring specifically to fig. 3, fig. 3 is a flowchart illustrating an embodiment of step S12 in fig. 1, where the target optimization scheme may be selected from the preset scheme set by the following steps.
Step S31, judging whether the current value is larger than a preset sound volume threshold value.
After the current value of the noise volume is obtained, whether the current value is larger than a preset volume threshold (for example, 400 Hz) can be judged, so that different optimization directions are selected according to the current value and are applied to different noise environments.
And S32, if yes, selecting a first optimization scheme.
And if the current value of the noise sound quantity is larger than the sound quantity 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 sound quantity. That is, when the noise sound volume is large, the first optimization scheme is selected, parameters in the first optimization scheme are adjusted in real time according to the change of the current value of the noise sound volume, and the optimization mode is flexible.
Step S33, otherwise, selecting a second optimization scheme.
And if the current value of the noise sound quantity is not greater than the sound quantity 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 irrelevant to the noise sound quantity. That is, when the noise sound amount is small, the second optimization scheme is selected, wherein the parameters are unchanged, namely, the parameters are not changed along with the change of the current value of the noise sound amount, and a better optimization effect is obtained on the basis of simplifying the optimization scheme.
The above process can be realized 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 value of the noise sound quantity, and different optimization schemes are adopted when the noise sound quantity is different values, so that the acoustic package control method provided by the embodiment can obtain better noise optimization effects under 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, the target acoustic packet may be controlled according to the target optimization scheme by the following steps.
Step S41, acquiring a judging result about whether to switch the current acoustic material or not 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 includes 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 performed by controlling these acoustic materials, so that it is necessary to determine whether the current acoustic material needs to be switched. The present embodiment uses the principle that absorption spectra of different acoustic materials on preset light waves are different to obtain the determination result, and a specific process will be described below.
And step S42, controlling the target acoustic package according to the judging result and the target optimization scheme.
The target optimization scheme includes a coverage of the target acoustic material employed by the target optimization scheme at the target acoustic system. After the determination result on whether to switch the current acoustic material is obtained, it is known whether to switch the current acoustic material, 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 the vehicle is optimized.
In one embodiment, referring to fig. 5, fig. 5 is a flowchart illustrating an embodiment of step S41 in fig. 4, a determination result regarding whether to switch the current acoustic material may be obtained as follows.
In step S51, light absorption data of the preset light wave irradiated on the current acoustic material is collected.
The types of acoustic materials included in the acoustic package are limited and known, and in a wavelength range of a preset light wave, a wavelength corresponding to a strongest absorption peak of each acoustic material is measurable in advance, so that the present embodiment irradiates a preset light wave (for example, infrared light, visible light, etc.) on a present acoustic material, specifically irradiates the present acoustic material with at least light waves of wavelengths corresponding to the strongest absorption peaks of each acoustic material, respectively, and respectively collects light intensities reflected by the present acoustic material on light waves of each wavelength by using a light intensity sensor, thereby obtaining light absorption data of the present acoustic material on each light wave. For example, there are two kinds of acoustic materials in total, the wavelengths corresponding to the strongest absorption peaks are λ 1 and λ 2, respectively, and at least the current acoustic materials are irradiated with light waves having wavelengths of λ 1 and λ 2, respectively, and reflected light intensities are collected, respectively, so as to calculate light absorption data of the current acoustic materials for the two light waves having wavelengths of λ 1 and λ 2, respectively.
Step S52, drawing an absorption spectrum based on the light absorption data.
The light absorption data are specifically the absorption rate 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 absorption spectrums and are presented in an image format, so that the strongest absorption peak of the current acoustic material can be conveniently obtained based on an image processing method.
And step S53, performing corner 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 of the strongest absorption peak.
Specifically, the acoustic materials in the present embodiment include a first acoustic material and a second acoustic material, and the first optimization scheme adopts the first acoustic material, and the second optimization scheme adopts the second acoustic material. After the absorption spectrum of the image format is acquired, contact 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 corner detection is an image local feature point detection algorithm, and can detect the turning point position of the absorption rate curve in the absorption spectrum. Assuming that the strongest absorption peak of the first acoustic material is at λ 1 wavelength, the strongest absorption peak of the second acoustic material is at λ 2 wavelength, and the current acoustic material is the first acoustic material, the absorption spectrum plotted by step S52 necessarily shows the highest peak at λ 1 wavelength, and shows the smaller peak or no peak at λ 2 wavelength, so that the wavelength corresponding to the strongest absorption peak can be determined. Specific corner detection can refer to a Harris corner algorithm disclosed in the prior art, and details are not repeated here.
And after the wavelength corresponding to the strongest absorption peak of the current acoustic material is determined by utilizing the corner detection, judging the wavelength range in which the wavelength is located. Specifically, under the condition that the strongest absorption peak is located in a first wavelength range, determining that the current acoustic material is a first acoustic material; determining that the current acoustic material is a second acoustic material if the strongest absorption peak is located in the 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, so that 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, thereby determining the type of the current acoustic material more quickly and accurately.
Step S54, obtaining a determination 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, it may be further determined whether the current acoustic material is the same as the acoustic material used in the target optimization scheme, so as to obtain a determination result regarding whether to switch the current acoustic material. 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 as a result of the judgment; if the current acoustic material is different from the acoustic material adopted by the target optimization scheme, the current acoustic material needs to be switched as a result of the judgment.
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 the target optimization scheme to judge whether the current acoustic material needs to be switched, so that the target optimization scheme is utilized more accurately and efficiently, and the noise environment in the vehicle is optimized.
In one embodiment, referring to fig. 6, fig. 6 is a flowchart illustrating an embodiment of step S42 in fig. 4, where the target acoustic packet may be controlled by the following steps.
Step S61, based on the determination result, switching the current acoustic material to the target acoustic material or taking the current acoustic material as the target acoustic material.
If the current acoustic material is different from the target acoustic material adopted by the target optimization scheme, the current acoustic material is required to be switched according to the judgment result, and then the current acoustic material is switched to be the target acoustic material.
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, and the current acoustic material is further taken as the target acoustic material, namely the current acoustic material is kept 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 unrelated to the noise volume.
Specifically, the current value of the first coverage rate and the noise volume is in positive correlation, and it is preferable that the first coverage rate varies between 10% and 100%. Under the condition that 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 on the target acoustic system can be obtained firstly 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 the application scenario with larger 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 quantity, and the coverage rate of the first acoustic material at the target acoustic system can be reduced according to the decrease of the current value of the noise sound quantity, so that the current acoustic package is flexibly optimized, and the noise environment in the vehicle is improved.
For example, the current value of the noise sound volume is 500Hz, if the current value exceeds the sound volume threshold, a first optimization scheme is selected, at this time, it is determined that the current acoustic material is the first acoustic material, switching is not needed, the first coverage rate is obtained according to the positive correlation relationship between the noise sound volume and the first coverage rate, for example, 30%, and the coverage rate of the first acoustic material is adjusted to be 30%. Then the current value of the noise volume is acquired again, and the next adjustment process is started.
Specifically, the second coverage 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 in accordance with the second coverage rate. That is, the coverage of the second acoustic material is directly adjusted to the second coverage and does not change according to the change of the current value of the noise volume. Therefore, in the application scene with smaller noise, the target acoustic packet is adjusted by adopting the relatively fixed optimization scheme, so that the difficulty of optimization is reduced, and the noise environment in the vehicle is improved.
For example, the current value of the noise sound volume is 300Hz, the second coverage rate is preset to be 100%, if the current value does not exceed the sound volume threshold, a second optimization scheme is selected, at this time, it is determined that the current acoustic material is the first acoustic material and is not the second acoustic material, and if the current acoustic material is not the second acoustic material, it is indicated that the acoustic material needs to be switched, the current acoustic material is directly switched to the second acoustic material with 100% coverage. Then the current value of the noise volume is acquired again, and the next adjustment process is started.
The acoustic material has both sound absorption and sound insulation properties, and in this embodiment, the sound absorption properties of the first acoustic material used in the first optimization scheme are better than those of the second acoustic material used in the second optimization scheme, and the sound insulation properties of the first acoustic material used in the second optimization scheme are better than those of the second acoustic material used in the first optimization scheme. For example, the first acoustic material is a soft and hard layer composite material containing a blanket type soft material, has weak sound insulation performance and excellent sound absorption performance, is suitable for application scenes with larger noise, and the second acoustic material is POE (polyolefin elastomer) or EVA (ethylene-vinyl acetate copolymer), has weak sound absorption performance and excellent sound insulation performance, and is suitable for application scenes with smaller noise.
Based on the same inventive concept, the present embodiment also provides an acoustic packet control device, referring to fig. 7, fig. 7 is a schematic structural diagram of an acoustic packet control device according to an embodiment of the present application, and the control device 700 includes a plurality of acoustic packets 710, a noise sensor 720, a memory 730, and a processor 740 coupled to the plurality of acoustic packets 710, the noise sensor 720, and the memory 730, respectively. Two acoustic packs 710 are schematically depicted in fig. 7.
The plurality of acoustic packages 710 are respectively provided at a plurality of acoustic systems of the vehicle, the noise sensor 720 is located in the vehicle, the memory 730 stores program instructions, and the processor 740 can execute the program instructions, and implement the acoustic package control method according to any of the embodiments described above 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 of any of the above embodiments, detects a current value of the noise volume in the vehicle using the noise sensor 720, then selects a target optimization scheme from a 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. The specific control process can refer to any of the above embodiments, and will not be described herein.
According to the method, the target acoustic packet can be optimized in real time according to the current value of the noise sound quantity, and different optimization schemes are adopted when the noise sound quantity is different, so that the acoustic packet control method provided by the embodiment can obtain better noise optimization effects under 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, referring to fig. 8, fig. 8 is a schematic structural diagram of an embodiment of the computer readable storage medium of the present application, where 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 one of the foregoing embodiments. Reference may be made to any of the above embodiments, and details are not repeated here.
The foregoing description is only of embodiments of the present application, and is not intended to limit the scope of the application, and all equivalent structures or equivalent processes using the descriptions and the drawings of the present application or directly or indirectly applied to other related technical fields are included in the scope of the present application.
Claims (9)
1. An acoustic packet control method, comprising:
Determining a target acoustic packet and detecting a current value of noise volume in the vehicle; wherein the target acoustic package is an acoustic package equipped 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 value of the noise volume, and controlling the target acoustic package according to the target optimization scheme; the preset scheme set comprises a first optimization scheme and a second optimization scheme, wherein the first optimization scheme is related to the noise sound quantity, the second optimization scheme is irrelevant to the noise sound quantity, and acoustic materials adopted in the first optimization scheme and the second optimization scheme are different;
wherein the selecting a target optimization scheme from a preset scheme set based on the current value of the noise volume comprises:
Judging whether the current value is larger than a preset sound volume threshold value or not;
If yes, a first optimization scheme is selected;
otherwise, a second optimization scheme is selected.
2. The method of claim 1, wherein prior to said controlling said target acoustic packet in accordance with said target optimization scheme, said method further comprises:
Acquiring a judging result about whether to switch the current acoustic material or not based on the absorption spectrum of the current acoustic material on 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 package according to the target optimization scheme comprises the following steps:
And controlling the target acoustic package according to the judging result and the target optimization scheme.
3. The method according to claim 2, wherein the obtaining a determination result regarding whether to switch the current acoustic material based on an absorption spectrum of the current acoustic material for a preset light wave includes:
Performing corner 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 of the strongest absorption peak;
and obtaining the judging 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 corner detection of the absorption spectrum, the method further comprises:
collecting light absorption data of preset light waves irradiated on the current acoustic material;
Plotting the absorbance spectrum based on the light absorbance data;
the determining the current acoustic material based on the wavelength range in which the strongest absorption peak is located includes:
Determining that the current acoustic material is the first acoustic material if the strongest absorption peak is located 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 includes a coverage of a target acoustic material employed by the target optimization scheme at the target acoustic system, and wherein the coverage of the acoustic material employed by the first optimization scheme is related to the noise volume, and wherein the coverage of the acoustic material employed by the second optimization scheme is independent of the noise volume; and controlling the target acoustic package according to the judging result and the target optimization scheme, wherein the method comprises the following steps:
Based on the determination result, switching the current acoustic material to the target acoustic material or taking the current acoustic material as the target acoustic material;
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 wherein controlling the target acoustic material to cover the target acoustic system according to the coverage rate in the case that the target optimization scheme is the first optimization scheme 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 current value of the first coverage rate and the noise volume is in positive correlation;
And 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 wherein controlling the target acoustic material to cover the target acoustic system in accordance with the coverage rate if the target optimization scheme is the second optimization scheme comprises:
Controlling the second acoustic material to cover the target acoustic system according to a second coverage rate; wherein the second coverage rate is a preset value.
8. An acoustic packet control device, comprising:
a number of acoustic packets, a noise sensor, a memory, and a processor coupled to the number of acoustic packets, the noise sensor, and the memory, respectively;
wherein the plurality of acoustic packages are respectively equipped at a plurality of acoustic systems of a vehicle, the noise sensor is located in the vehicle, the memory stores program instructions, and the processor is capable of executing the program instructions to implement the acoustic package control method according to any one of claims 1 to 7 in cooperation with the plurality of acoustic packages and the noise sensor.
9. 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 1-7.
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