CN112259125A - Noise-based comfort evaluation method, system, equipment and storage medium - Google Patents
Noise-based comfort evaluation method, system, equipment and storage medium Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims abstract description 33
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- 238000012800 visualization Methods 0.000 claims description 6
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- 238000004451 qualitative analysis Methods 0.000 abstract description 3
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- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
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Abstract
The invention discloses a comfort evaluation method based on automobile noise, which comprises the following specific steps: constructing a noise model; determining a user-perceived noise expression based on the noise model and the accidental noise; determining the contribution value of each noise according to the self-power spectrum of the noise; determining the weight of the noise expression according to the contribution value; and determining the current noise by using the noise expression, and simultaneously comparing the current noise with a preset threshold value to grade the comfort level. The method obtains the noise sound pressure and determines by using the amplitude of the power spectrum, each noise amplitude so as to determine the weight of the noise and obtain the specific value of the noise sound pressure, can realize qualitative and quantitative analysis of the noise on the comfort level, and finally determines the comfort level, so that an automobile manufacturer can improve the pertinence according to the contribution degree generated by the noise.
Description
Technical Field
The invention relates to the technical field of comfort evaluation, in particular to a comfort evaluation method, a comfort evaluation system, comfort evaluation equipment and a storable medium based on automobile noise.
Background
The noise is a sound which prevents people from normally resting, learning and working, and interferes with a sound to be heard. The sources of noise are many, such as car sounds on the street, machine sounds at construction sites, and loud sounds from neighboring televisions.
Automotive noise is a major source of noise pollution. The car noise can cause various uncomfortable feelings such as psychological dysphoria of people.
The prior art generally adopts the A sound level of a noise sample to evaluate the discomfort degree of the automobile noise. The sound level A is the total sound pressure level of the noise obtained by correcting the sound pressure levels of the sounds with different frequencies through weighting A and then carrying out superposition calculation. For broadband noise with relatively stable frequency spectrum, the A sound level can better reflect subjective feeling. But even with the same a sound level, the noise level may vary from road condition to road condition, causing discomfort to the person. The same vehicle runs under different road conditions, and the noise in the vehicle under different road conditions causes the discomfort degree generated by people to have difference under the condition that the sound level of the noise A in the vehicle is the same; a plurality of vehicles run on the same road condition, and the uncomfortable level of noise in each vehicle, which causes people, is different under the condition that the sound level of the noise A in the vehicle is the same. Therefore, in the prior art, the discomfort degree of the automobile noise is evaluated only according to the level of the sound level A, and the evaluation result has large deviation.
Therefore, how to provide a comfort evaluation method, system, device and storage medium that can comprehensively evaluate and improve the accuracy of the evaluation result is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the invention provides a comfort evaluation method, a system, equipment and a storage medium based on automobile noise, the invention constructs a noise model, obtains noise sound pressure and determines by using the amplitude of a power spectrum, each noise amplitude determines the weight of the noise, obtains the specific value of the noise sound pressure, can realize qualitative and quantitative analysis of the noise on the comfort, and finally determines the comfort level, so that an automobile manufacturer can improve the comfort pertinence according to the contribution degree generated by the noise.
In order to achieve the purpose, the invention adopts the following technical scheme:
a comfort evaluation method based on automobile noise comprises the following specific steps:
constructing a noise model;
determining a user-perceived noise expression based on the noise model and the accidental noise;
determining the contribution value of each noise according to the self-power spectrum of the noise;
determining the weight of the noise expression according to the contribution value;
and determining the current noise by using the noise expression, and simultaneously comparing the current noise with a preset threshold value to grade the comfort level.
Preferably, in the comfort evaluation method based on the automobile noise, the noise model expression is as follows:
wherein, PInner partThe sound pressure of noise in the vehicle; n is the number of noise sources; piThe noise sound pressure of the ith noise source; lambda [ alpha ]iThe attenuation coefficient of the ith noise source.
Preferably, in the comfort evaluation method based on the automobile noise, the noise source includes but is not limited to: engine noise sources, tire noise sources, wind noise sources, exhaust noise sources.
Preferably, in the comfort evaluation method based on the automobile noise, the noise expression is
Wherein, P1iThe noise sound pressure of the ith noise source; alpha is alphaiA contribution coefficient for the ith noise source; n is the number of noise sources in the vehicle; lambda [ alpha ]iThe attenuation coefficient of the ith noise source; p2tNoise sound pressure for the tth incidental noise source; beta is atA contribution coefficient for the tth accidental noise source; m is the number of noise sources; lambda [ alpha ]tThe attenuation coefficient of the tth accidental noise source.
Preferably, in the comfort evaluation method based on the automobile noise, the power spectrum obtained by using the visualization software is decomposed into a plurality of noise source power sums according to singular value decomposition
A comfort evaluation system based on car noise, comprising:
the noise acquisition module is used for acquiring noise;
the threshold value comparison module is used for comparing the calculated total noise sound pressure with a preset threshold value;
and the comfort level output module is used for determining the comfort level according to a preset threshold value.
Preferably, in the comfort evaluation system based on the car noise, the comfort evaluation system further includes: and the visualization module displays the acquired noise on the visualization module and is used for decomposing the power spectrum into a plurality of noise source power sums.
Preferably, in the comfort evaluation system based on the car noise, the comfort evaluation system further includes:
the statistical module is used for counting the amplitude of each noise source;
and the weight calculation module determines a weight ratio according to the ratio of the amplitude of each noise source to the total amplitude.
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 steps of the method are implemented when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method.
According to the technical scheme, compared with the prior art, the comfort evaluation method, the system, the equipment and the storage medium based on the automobile noise are disclosed and provided, the noise model is built, the noise sound pressure is obtained and determined by utilizing the amplitude of the power spectrum, the weight of the noise is determined by utilizing the amplitude of each noise, the specific value of the noise sound pressure is obtained, the qualitative and quantitative analysis of the noise on the comfort can be realized, the comfort level is determined finally, and the automobile manufacturer can improve the comfort pertinence according to the contribution degree generated by the noise conveniently.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of the process of the present invention;
FIG. 2 is a block diagram illustrating the structure of the present invention;
fig. 3 is a diagram showing an internal structure of the computer apparatus of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. 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 invention.
A comfort evaluation method based on automobile noise, as shown in fig. 1, includes the following steps:
s101, constructing a noise model;
s102, determining a noise expression felt by a user based on a noise model and accidental noise;
s103, determining the contribution value of each noise according to the self-power spectrum of the noise;
s104, determining the weight of the noise expression according to the contribution value;
and S105, determining the current noise by using the noise expression, and simultaneously comparing the current noise with a preset threshold value to grade the comfort level.
By the technical scheme, the noise model can be improved by the existing model, such as an acoustic analogy model, and the noise is subjected to spectral analysis; besides the model disclosed in the embodiment of the invention, the optimal model can be obtained by training through a neural network model.
It is to be understood that: the degree of cardiovascular injury in humans is more than 20% greater than in humans living in an environment with 50 decibels of noise. When the noise exceeds 80 db, the hearing of the person is greatly damaged. When the noise exceeds 100 db, the noise is intolerable noise. The sound reaches more than 120 decibels, which is equivalent to a boeing 747 airplane flying around, and the human health can be greatly injured in a short time. A sound of 125 db, already causes headache. Under normal conditions, a human can tolerate about 160 decibels of sound. Once the sound is heard above this number, the eardrum of some people may break as a result. Loud sounds can cause damage to the internal organs of a person. Tests show that the function of cerebral cortex is seriously degraded when the noise exceeds 115 decibels (such as during the starting of an airplane), animals die when 165 decibels are reached, and the bearing capacity of human beings cannot exceed 175 decibels.
| Noise sound pressure (P) | Comfort level |
| P≤50db | I |
| 50db＜P≤80db | II |
| 80db＜P≤100db | III |
| 100db＜P≤120db | IV |
| 120db＜P≤160db | V |
| P＞160db | VI |
In order to further optimize the above technical solution, the noise model expression is:
wherein, PInner partThe sound pressure of noise in the vehicle; n is the number of noise sources; piThe noise sound pressure of the ith noise source; lambda [ alpha ]iThe attenuation coefficient of the ith noise source.
The attenuation coefficient is introduced due to the loss in the transmission process when the external noise is transmitted into the vehicle, and the attenuation curve can be determined according to a linear regression method and the attenuation coefficient is correspondingly determined according to the attenuation curve in terms of the calculation of the attenuation coefficient.
To further optimize the above technical solution, the noise source includes but is not limited to: engine noise sources, tire noise sources, wind noise sources, exhaust noise sources.
In order to further optimize the above technical solution, the accidental noise refers to occasional noise such as whistling sound of coming vehicles in an opposite lane, sound of hitting a vehicle body by flying stones, and the like.
The existence of accidental noise is much smaller than the noise generated by an engine noise source, a tire noise source, a wind noise source and an exhaust noise source, but the accidental noise is still one of the causes of discomfort to people, and when the accidental noise is not generated, the attenuation coefficient is 0;
to further optimize the above solution, the noise expression is
Wherein, P1iThe noise sound pressure of the ith noise source; alpha is alphaiA contribution coefficient for the ith noise source; n is the number of noise sources in the vehicle; lambda [ alpha ]iThe attenuation coefficient of the ith noise source; p2tNoise sound pressure for the tth incidental noise source; beta is atA contribution coefficient for the tth accidental noise source; m is the number of noise sources; lambda [ alpha ]tThe attenuation coefficient of the tth accidental noise source.
In order to further optimize the technical scheme, the power spectrum obtained by using the visualization software is decomposed into a plurality of noise sound source power sums according to singular value decomposition
A comfort evaluation system based on car noise, as shown in fig. 2, includes:
the noise acquisition module is used for acquiring noise;
the threshold value comparison module is used for comparing the calculated total noise sound pressure with a preset threshold value;
and the comfort level output module is used for determining the comfort level according to a preset threshold value.
In order to further optimize the above technical solution, the method further comprises: and the visualization module displays the acquired noise on the visualization module and is used for decomposing the power spectrum into a plurality of noise source power sums.
In order to further optimize the above technical solution, the method further comprises:
the statistical module is used for counting the amplitude of each noise source;
and the weight calculation module determines a weight ratio according to the ratio of the amplitude of each noise source to the total amplitude.
In one embodiment, a computer device is provided, as shown in FIG. 3, comprising a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a comfort evaluation system based on car noise.
A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program realizes the steps of the method when executed by a processor.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by specifying the relevant hardware via a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A comfort evaluation method based on automobile noise is characterized by comprising the following specific steps:
constructing a noise model;
determining a user-perceived noise expression based on the noise model and the accidental noise;
determining the contribution value of each noise according to the self-power spectrum of the noise;
determining the weight of the noise expression according to the contribution value;
and determining the current noise by using the noise expression, and simultaneously comparing the current noise with a preset threshold value to grade the comfort level.
2. A comfort evaluation method based on car noise according to claim 1, characterized in that the noise model expression is:
wherein, PInner partThe sound pressure of noise in the vehicle; n is the number of noise sources; piThe noise sound pressure of the ith noise source; lambda [ alpha ]iThe attenuation coefficient of the ith noise source.
3. A comfort evaluation method based on car noise according to claim 1, characterized in that the noise source includes but is not limited to: engine noise sources, tire noise sources, wind noise sources, exhaust noise sources.
4. The comfort evaluation method based on automobile noise according to claim 1, wherein the noise expression is
Wherein, P1iThe noise sound pressure of the ith noise source; alpha is alphaiA contribution coefficient for the ith noise source; n is the number of noise sources in the vehicle; lambda [ alpha ]iThe attenuation coefficient of the ith noise source; p2tNoise sound pressure for the tth incidental noise source; beta is atA contribution coefficient for the tth accidental noise source; m is the number of noise sources; lambda [ alpha ]tThe attenuation coefficient of the tth accidental noise source.
5. The comfort evaluation method based on car noise according to claim 4, wherein the power spectrum obtained by using the visualization software is decomposed into a plurality of noise source power sums according to singular value decomposition
6. A comfort evaluation system based on car noise, characterized by comprising:
the noise acquisition module is used for acquiring noise;
the threshold value comparison module is used for comparing the calculated total noise sound pressure with a preset threshold value;
and the comfort level output module is used for determining the comfort level according to a preset threshold value.
7. The comfort evaluation system based on car noise according to claim 6, characterized by further comprising: and the visualization module displays the acquired noise on the visualization module and is used for decomposing the power spectrum into a plurality of noise source power sums.
8. The comfort evaluation system based on car noise according to claim 6, characterized by further comprising:
the statistical module is used for counting the amplitude of each noise source;
and the weight calculation module determines a weight ratio according to the ratio of the amplitude of each noise source to the total amplitude.
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 steps of the method of any of claims 1 to 5 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
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