CN112651354A - Method and device for determining noise source - Google Patents
Method and device for determining noise source Download PDFInfo
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Abstract
The embodiment of the application provides a method and a device for determining a noise source, wherein when a main noise source influencing a detection area is determined, a plurality of vibration signals and a plurality of noise signals influencing the noise in the detection area in a vehicle are acquired; determining a target frequency band to which noise affecting the detection area belongs according to the plurality of vibration signals and the plurality of noise signals; acquiring a full-band excitation response value corresponding to each transmission path in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and then, a target noise source influencing a detection area is determined jointly according to the target frequency band and the full-band excitation response value corresponding to each transmission path, so that the problem of missing judgment or wrong judgment of the target noise source can be solved to a certain extent, and the accuracy of determining the noise source is improved.
Description
Technical Field
The invention relates to the technical field of vehicle noise, in particular to a method and a device for determining a noise source.
Background
With the progress of science and technology and the improvement of the living standard of people, vehicles become indispensable transportation tools for daily life of people. In recent years, people have higher requirements on vehicles, and have high requirements on Noise, Vibration and Harshness (NVH) performances of vehicles while meeting the requirements of transportation. Therefore, there is a need for further optimization of NVH performance of vehicles by the vehicle manufacturing industry.
In the prior art, noise data of each excitation point in a vehicle cab is acquired, and the noise data and data of a response point of received noise are analyzed and processed by an extended working condition transmission Path Analysis (OPAX) method, so that noise contribution of each transmission Path to a target test point under a full frequency band, namely, the occupation ratio of each transmission Path is obtained, and a main noise source is obtained.
However, the analysis and processing of the data of the excitation point and the response point through the extended working condition transmission path analysis result in the occupation ratio of the noise source in the full frequency band, and the frequency band of the main noise source cannot be determined, so that the accuracy of determining the main noise source is low.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a noise source, which can solve the problem of missing judgment or erroneous judgment of a target noise source to a certain extent, thereby improving the accuracy of determining the noise source.
In a first aspect, an embodiment of the present application provides a method for determining a noise source, where the method for determining a noise source includes:
a plurality of vibration signals and a plurality of noise signals that have a noise effect on a detection area in a vehicle are acquired.
And determining a target frequency band to which the noise affecting the detection area belongs according to the vibration signals and the noise signals.
And acquiring a full-band excitation response value corresponding to each transmission path in a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle.
And determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response value corresponding to each transmission path.
In a possible implementation manner, the determining, according to the target frequency band and the full-band excitation response values corresponding to the transmission paths, a target noise source that affects the detection area includes:
and generating a full-band excitation response curve corresponding to each transmission path according to the full-band excitation response value corresponding to each transmission path.
And determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response curve corresponding to each transmission path.
In a possible implementation manner, the determining, according to the target frequency band and a full-band excitation response curve corresponding to each transmission path, a target noise source affecting the detection area includes:
and determining a target full-band excitation response curve with an excitation response value corresponding to the target frequency band larger than a preset threshold value in the full-band excitation response curves corresponding to the transmission paths.
And determining a corresponding noise source as the target noise source according to the transmission path corresponding to the target full-band excitation response curve.
In a possible implementation manner, the determining, according to the vibration signals and the noise signals, a target frequency band to which noise affecting the detection region belongs includes:
and performing coherence analysis on the vibration signals and the noise signals to determine the target frequency band.
In a possible implementation manner, the performing coherence analysis on the plurality of vibration signals and the plurality of noise signals to determine the target frequency band includes:
and carrying out Fourier transform on the vibration signals and the noise signals to obtain input self-spectrums, output self-spectrums and input and output cross spectrums corresponding to the vibration signals and the noise signals.
And determining the target frequency band according to the input self-spectrum, the output self-spectrum and the input and output cross-spectra.
In one possible implementation, the determining the target frequency band according to the input self-spectrum, the output self-spectrum, and the input and output cross-spectra includes:
determining a vibration and noise coherence function from the input self-spectrum, the output self-spectrum, and the cross-spectra of the input and output.
And determining an input partial coherent power spectrum according to the vibration and noise coherence function and the input self-spectrum.
And determining the target frequency band according to the input partial coherent power spectrum.
In a second aspect, an embodiment of the present application provides a device for determining a noise source, where the device for determining a noise source includes:
an acquisition unit acquires a plurality of vibration signals and a plurality of noise signals that exert a noise influence on a detection region in a vehicle.
And the processing unit is used for determining a target frequency band to which the noise affecting the detection area belongs according to the vibration signals and the noise signals.
The obtaining unit is further configured to obtain a full-band excitation response value corresponding to each transmission path in multiple transmission paths corresponding to multiple noise sources in the vehicle.
And the processing unit is further configured to determine a target noise source affecting the detection area according to the target frequency band and the full-band excitation response values corresponding to the transmission paths.
In a possible implementation manner, the processing unit is specifically configured to generate a full-band excitation response curve corresponding to each transmission path according to the full-band excitation response value corresponding to each transmission path; and determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response curve corresponding to each transmission path.
In a possible implementation manner, the processing unit is specifically configured to determine, in a full-band excitation response curve corresponding to each transmission path, a target full-band excitation response curve of which an excitation response value corresponding to the target frequency band is greater than a preset threshold; and determining a corresponding noise source as the target noise source according to a transmission path corresponding to the target full-band excitation response curve.
In a possible implementation manner, the processing unit is specifically configured to perform coherence analysis on the multiple vibration signals and the multiple noise signals, and determine the target frequency band.
In a possible implementation manner, the processing unit is specifically configured to perform fourier transform on the multiple vibration signals and the multiple noise signals, so as to obtain input self-spectrums, output self-spectrums, and input and output cross spectrums corresponding to the multiple vibration signals and the multiple noise signals; and determining the target frequency band according to the input self-spectrum, the output self-spectrum and the input and output cross-spectra.
In a possible implementation, the processing unit is specifically configured to determine a vibration and noise coherence function according to the input self-spectrum, the output self-spectrum, and the cross-spectra of the input and output; determining an input partial coherence power spectrum according to the vibration and noise coherence function and the input self-spectrum; and determining the target frequency band according to the input partial coherent power spectrum.
In a third aspect, an embodiment of the present application further provides a device for determining a noise source, where the device for determining a noise source may include a memory and a processor; wherein the content of the first and second substances,
the memory is used for storing the computer program.
The processor is configured to read the computer program stored in the memory, and execute the method for determining a noise source in any one of the possible implementation manners of the first aspect according to the computer program in the memory.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where a computer-executable instruction is stored in the computer-readable storage medium, and when a processor executes the computer-executable instruction, the method for determining a noise source in any one of the foregoing possible implementation manners of the first aspect is implemented.
In a fifth aspect, an embodiment of the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for determining a noise source in any one of the foregoing possible implementation manners of the first aspect is implemented.
Therefore, the method and the device for determining the noise source provided by the embodiment of the application acquire a plurality of vibration signals and a plurality of noise signals which generate noise influence on the detection area in the vehicle when determining the main noise source influencing the detection area; determining a target frequency band to which noise affecting the detection area belongs according to the plurality of vibration signals and the plurality of noise signals; acquiring a full-band excitation response value corresponding to each transmission path in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and then, a target noise source influencing a detection area is determined jointly according to the target frequency band and the full-band excitation response value corresponding to each transmission path, so that the problem of missing judgment or wrong judgment of the target noise source can be solved to a certain extent, and the accuracy of determining the noise source is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for determining a noise source according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a process for determining a target frequency band to which noise affecting a detection area belongs according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a noise source determination apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another noise source determination apparatus according to an embodiment of the present application.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
In the embodiments of the present invention, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. In the description of the present invention, the character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The technical scheme provided by the embodiment of the application can be applied to a scene of vehicle noise detection. For example, the method can be applied to the detection of the noise source in the high-top light bus. For example, please refer to fig. 1, where fig. 1 is a schematic view of an application scenario provided by an embodiment of the present application, before detecting a noise source in a vehicle, 3 powertrain mounts, 2 transmission shaft mounts, 4 exhaust mounts, and 6 rear wheel steel plate mounts may be provided in the vehicle, for a total of 15 passive suspension ends, and 7 noise input ends are provided. The three-way acceleration sensor is used for detecting vibration signals generated by 15 suspension passive ends respectively, and the microphone is used for detecting noise signals generated by 7 noise input ends respectively.
As shown in fig. 1, 15 suspension passive ends are a right engine, a left engine, a rear engine, a transmission shaft 1, a transmission shaft 2, an exhaust pipe 1, an exhaust pipe 2, an exhaust pipe 3, an exhaust pipe 4, a right front plate spring suspension, a right rear plate spring suspension, a left front plate spring suspension, a left rear plate spring suspension, a right rear axle and a left rear axle, respectively, and 7 noise input ends are an upper engine, a lower engine, a right front wheel, a right rear wheel, a left front wheel, a left rear wheel and a rear exhaust pipe, respectively. In addition, vibration data of key components in the vehicle cab, such as components of an instrument desk, a back door, a left side wall, a right side wall, a floor, a ceiling and the like, can be tested simultaneously. Meanwhile, noise data at the right ear of the driver, the right ear of the outer seat of the fourth row, and the passenger of the sixth row in the cab are detected and used as data of the response point. Since the three-way acceleration sensor has three directions of x, y, and z, the transmission paths of the detected vibration signal and noise signal are (15 × 3+7) × 3 equal to 156.
After the number of the transmission paths is determined, the working conditions commonly used by the vehicle can be selected for detection, for example, a constant speed working condition of 90km/h is set as the test working condition of the vehicle, and the sampling frequency is assumed to be 20480Hz, and the test time is assumed to be 30 s. When the noise source in the vehicle is detected, load identification and frequency response function test are carried out on the detected vibration signal and the detected noise signal, the load and frequency response function value of each transmission path is respectively determined, the response value of each transmission path in the full frequency band is determined according to the load and frequency response function value, the contribution amount of each transmission path to an output point in the full noise frequency band is determined according to the response value, and therefore the main noise source causing noise is determined.
However, since the transmission path is determined by expanding the operating condition according to the response value of each excitation point in the noise full frequency band, a problem of missing or misjudging the main noise source occurs, so that the accuracy of determining the main noise source is low.
Considering that the response value of the excitation point in the full frequency band generated by the extended working condition transmission path analysis method causes a problem of a missing judgment or a wrong judgment noise source, the target frequency band to which the noise belongs can be determined first, and the response value of the excitation point in the full frequency band generated by the extended working condition transmission path analysis method is processed based on the target frequency band to which the noise belongs, so that the target noise source is accurately determined.
Based on the technical concept, the embodiment of the application provides a method for determining a noise source, which includes the steps of acquiring a plurality of vibration signals and a plurality of noise signals influencing a detection area in a vehicle when determining a target noise source influencing the detection area; determining a target frequency band to which noise affecting a detection area belongs according to the vibration signals and the noise signals; acquiring full-band excitation response values corresponding to each transmission path in a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle; and determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response value corresponding to each transmission path.
For example, the detection area may be a cab, may be an engine compartment, and may be specifically set according to actual needs. In the following description of the technical solutions provided in the present application, the detection area will be described as an example of a cab, but the embodiments of the present application are not limited thereto.
It can be seen that, in determining the primary sources of noise affecting the detection area, a plurality of vibration signals and a plurality of noise signals are acquired that produce a noise effect on the detection area in the vehicle; determining a target frequency band to which noise affecting the detection area belongs according to the plurality of vibration signals and the plurality of noise signals; acquiring a full-band excitation response value corresponding to each transmission path in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and then, a target noise source influencing a detection area is determined jointly according to the target frequency band and the full-band excitation response value corresponding to each transmission path, so that the problem of missing judgment or wrong judgment of the target noise source can be solved to a certain extent, and the accuracy of determining the noise source is improved.
Hereinafter, the method for determining a noise source provided by the embodiments of the present application will be described in detail by several specific embodiments. It is understood that, in the embodiments of the present application, the following specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Example one
Fig. 2 is a flowchart illustrating a method for determining a noise source according to an embodiment of the present disclosure, where the method for determining a noise source may be executed by software and/or a hardware device, for example, the hardware device may be a terminal or a server. For example, referring to fig. 2, the method for determining the noise source may include:
s201, a plurality of vibration signals and a plurality of noise signals which have noise influence on a detection area in the vehicle are acquired.
For example, when acquiring a plurality of vibration signals that have a noise effect on a detection area in a vehicle, the plurality of vibration signals that have a noise effect on the detection area may be acquired by providing an acceleration sensor in the detection area and collecting the plurality of vibration signals by the acceleration sensor. In acquiring a plurality of noise signals that have a noise influence on a detection area in a vehicle, a microphone may be provided in the detection area, and a plurality of vibration signals that have a noise influence on the detection area may be acquired by the microphone.
It is understood that, in the embodiment of the present application, the calibrated detection areas are different, and the corresponding positions of the acceleration sensor for acquiring the vibration signal and the microphone for acquiring the noise signal are different.
After acquiring a plurality of vibration signals and a plurality of noise signals that affect the detection area, respectively, the target frequency band to which the noise affecting the detection area belongs may be determined according to the plurality of vibration signals and the plurality of noise signals, that is, the following S202 is performed:
s202, determining a target frequency band to which noise affecting the detection area belongs according to the vibration signals and the noise signals.
For example, when determining a target frequency band to which noise affecting the detection region belongs according to the multiple vibration signals and the multiple noise signals, coherence analysis may be performed on the multiple vibration signals and the multiple noise signals to determine the target frequency band to which the noise affecting the detection region belongs, and the target frequency band to which the noise affecting the detection region belongs may also be determined by other methods.
S203, acquiring a full-band excitation response value corresponding to each transmission path in a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle.
For example, when obtaining the full-band excitation response values corresponding to the transmission paths, the method may be implemented by a method of analyzing the transmission paths under the extended operating condition, or may be implemented by other methods.
It is understood that the plurality of vibration signals and the plurality of noise signals which are detected in the above S201 and generate noise influence may be used as input terminals, and an output terminal may be further disposed in the vehicle, and the influence generated by the noise of the input terminal is detected through the output terminal, for example, the output terminal may be disposed at a position near an ear of a driver, a position of a certain seat in the vehicle, and the like.
Illustratively, the plurality of transmission paths that generate the influence of noise are determined according to the vibration signal, the noise signal, and the number of noise output terminals. The specific method can be described with reference to fig. 1, and details of this embodiment are not repeated herein. The load identification is performed on the obtained vibration signal and the noise signal, namely, the excitation force of each transmission path is determined, and the structural load can be expressed as an acceleration signal function of each path coupling point through the following formula (1), so that the excitation force of each transmission path is determined.
In the formula (1), Ki(ω)＝-miω2+jciω2+ki，mi、ci、kiThe three parameters respectively represent the dynamic mass, the damping and the static stiffness of the elastic element, omega represents the angular velocity, and i represents an imaginary vector. Alpha is alphaai(ω) represents the suspension active terminal acceleration signal, αpiAnd (omega) represents the suspension passive end acceleration signal.
In addition, frequency response function tests are required to be carried out on each transmission path, and it can be understood that the frequency response function tests are carried out by utilizing a volume sound source based on an acoustic reciprocity method under the conditions that the complexity of a vehicle body structure is high, a sufficient hammering space is not available at the connection position of vehicle body parts, and hammering tests are difficult to be carried out on a target point along a certain direction, so that the frequency response functions on each transmission path are determined.
Further, an extended working condition transmission path model is established based on the obtained excitation force and the frequency response function on each transmission path, and according to the following formula (2), the contribution of each transmission path to the output end in the noise full frequency band, namely the excitation response value of each transmission path in the full frequency band, is obtained.
In the formula (2), yk(ω) represents the total response of the target point k, n represents the number of transmission paths, k represents the symbol of the response point, Hki(ω) represents the frequency response function on the ith transmission path, FiAnd (ω) represents the excitation force on the ith transmission path.
Since the process of calculating the frequency response function on each transmission path is extremely complex, the embodiment of the present application only takes the above simple formula as an example to illustrate the calculation process, but does not represent that the present application is limited thereto.
After determining the full-band excitation response value corresponding to each transmission path, the following S204 may be performed:
and S204, determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response value corresponding to each transmission path.
For example, when determining a target noise source affecting a detection region according to a target frequency band and a full-band excitation response value corresponding to each transmission path, at least two possible implementations may be included:
in a possible implementation manner, the target noise source affecting the detection area may be directly determined according to the target frequency band and the full-band excitation response value corresponding to each transmission path. The specific process is as follows: determining a target full-band excitation response value of which the excitation response value corresponding to the target frequency band is greater than a preset threshold value in the full-band excitation response values corresponding to the transmission paths; and determining a transmission path corresponding to the target full-band excitation response value and a corresponding noise source as a target noise source.
In this possible implementation manner, the target transmission path is determined according to the excitation response value corresponding to the target frequency band and the preset threshold, and the noise source corresponding to the target transmission path, that is, the target noise source, is determined according to the target transmission path, so that the influence of the low-frequency-band noise on the determination of the target noise source can be avoided, and the accuracy of determining the target noise source is improved.
In another possible implementation manner, a full-band excitation response curve corresponding to each transmission path may be generated according to a full-band excitation response value corresponding to each transmission path; and determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response curve corresponding to each transmission path.
In this possible implementation manner, for example, when the target noise source affecting the detection region is determined according to the target frequency band and the full-band excitation response curve corresponding to each transmission path, a target full-band excitation response curve whose excitation response value corresponding to the target frequency band is greater than a preset threshold may be determined in the full-band excitation response curve corresponding to each transmission path; and determining a corresponding noise source as a target noise source according to a transmission path corresponding to the target full-band excitation response curve.
In this possible implementation manner, the target noise source affecting the detection area is determined according to the full-band excitation response curve corresponding to each transmission path, and the variation of the response value of each transmission path along with the frequency variation can be obviously seen according to the excitation response curve.
It follows that, in determining the primary noise source affecting the detection area, a plurality of vibration signals and a plurality of noise signals are acquired that have a noise effect on the detection area in the vehicle; determining a target frequency band to which noise affecting the detection area belongs according to the plurality of vibration signals and the plurality of noise signals; acquiring a full-band excitation response value corresponding to each transmission path in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and then, a target noise source influencing a detection area is determined jointly according to the target frequency band and the full-band excitation response value corresponding to each transmission path, so that the problem of missing judgment or wrong judgment of the target noise source can be solved to a certain extent, and the accuracy of determining the noise source is improved.
Based on the above-mentioned embodiment shown in fig. 2, when determining the target frequency band to which the noise affecting the detection region belongs according to the plurality of vibration signals and the plurality of noise signals, performing coherence analysis on the plurality of vibration signals and the plurality of noise signals, thereby determining the target frequency band to which the noise affecting the detection region belongs; the target frequency band to which the noise affecting the detection region belongs may also be determined in other ways. Here, the embodiment of the present application is only described as an example of performing coherence analysis on a plurality of vibration signals and a plurality of noise signals to determine a target frequency band to which noise affecting a detection region belongs, but the embodiment of the present application is not limited thereto.
In order to facilitate understanding of how to perform coherence analysis on the vibration signals and the noise signals to determine the target frequency band in the embodiment of the present application, a detailed description will be given below of how to perform coherence analysis on the vibration signals and the noise signals to determine the target frequency band in the embodiment of the present application through a second embodiment shown in fig. 3.
Example two
Fig. 3 is a schematic flowchart of a process for determining a target frequency band to which noise affecting a detection region belongs according to an embodiment of the present disclosure, where the method for determining the target frequency band to which the noise affecting the detection region belongs may also be executed by software and/or hardware devices. For example, referring to fig. 3, the method for determining a target frequency band to which noise affecting a detection region belongs may include:
s301, Fourier transform is carried out on the vibration signals and the noise signals to obtain input self-spectrums, output self-spectrums and input and output cross-spectrums corresponding to the vibration signals and the noise signals.
The input self-spectrum is an input self-power spectrum, the output self-spectrum is an output self-power spectrum, and the input cross-spectrum and the output cross-spectrum are input cross-power spectrums and output cross-power spectrums. The power spectrum is short for power spectral density function and is defined as the signal power in a unit frequency band. The power spectrum may represent the variation of the signal power with frequency, i.e. the distribution of the signal power in the frequency domain.
In an example, assuming that the vibration signal is x (t) and the noise signal is y (t), fourier transform is performed on the plurality of vibration signals and the noise signal, respectively, to obtain a fourier-transformed vibration signal of x (f) and a noise signal of y (f). From the vibration signals and noise signals after fourier transform, input self-spectra, output self-spectra, and input and output cross-spectra corresponding to the plurality of vibration signals and the plurality of noise signals are determined by the following equations (3) and (4).
In the above formulas (3) and (4), SxixiRepresenting input self-spectra, SyyIndicating the output self-spectrum, SyxiRepresents the cross-spectrum of the input and output, T represents the record length of the fourier transform, and E represents the mathematical expectation. Xi *(f) Represents X*(f) Complex conjugate of (A), Y*(f) Denotes the complex conjugate of Y (f).
S302, determining a vibration and noise coherence function according to the input self-spectrum, the output self-spectrum and the input and output cross-spectra.
For example, the coherence function γ of vibration and noise can be determined according to the following equation (5)2 xy。
And S303, determining an input partial coherent power spectrum according to the vibration and noise coherent function and the input self-spectrum.
For example, an input partial coherent power spectrum S 'may be determined according to equation (6) below'xy。
And S304, determining a target frequency band according to the input partial coherent power spectrum.
For example, the size of the target frequency band may be determined according to the type of the vehicle, or may be determined according to other parameters, and the target frequency band is not limited in any way in the embodiment of the present application.
Therefore, after the target frequency band is determined by performing coherence analysis on the vibration signals and the noise signals, the target noise source influencing the detection area can be determined according to the target frequency band and the full-frequency-band excitation response value corresponding to each transmission path, the problem of missing judgment or erroneous judgment of the target noise source can be avoided, and the accuracy of determining the noise source is improved.
Based on any of the above embodiments, after the target frequency band is determined, whether the determination result is accurate may be further verified. For example, when the determination result is verified to be accurate, the determination result may be verified by removing, replacing or performing sound absorption and insulation processing on the corresponding component, or may be verified by other methods. The present application only describes the example of removing, replacing or absorbing and insulating the corresponding components, but does not represent that the embodiments of the present application are limited thereto. Next, how to verify the result of the determination in the embodiment of the present application will be described in detail by the following third embodiment.
EXAMPLE III
For example, in one possible implementation, whether the determination result is accurate may be verified by removing the corresponding component. For example, if the target noise source is determined to be one of the wheels of the vehicle by the method described in the above embodiment, the wheel may be dismounted. The method of the embodiment is used for detecting the noise of the vehicle with the wheels removed, and if no corresponding transmission path exists in the original target frequency band, the wheel is determined to be a target noise source.
In another possible implementation, whether the determination result is accurate may be verified by replacing the corresponding component. For example, if the target noise source is determined to be two transmission shafts of the vehicle by the method described in the above embodiment, the transmission shaft of the target noise source may be replaced by two transmission shafts with better performance. The method of the embodiment is used for detecting the noise of the vehicle with the transmission shaft replaced, and if no corresponding transmission path exists in the original target frequency band, the two replaced transmission shafts are determined as the target noise source.
In another possible implementation, whether the determination result is accurate may be verified by performing noise extraction processing on a component that generates the target noise. For example, if the target noise source is determined to be the engine by the method described in the above embodiment, a material with better sound absorption performance can be installed on the engine, so as to reduce the noise generated by the engine. The method of the embodiment is used for detecting the noise of the vehicle subjected to sound absorption processing, and if no corresponding transmission path exists in the original target frequency band, the engine is determined to be a target noise source.
It is understood that, when selecting whether the verification determination result is accurate, the selection may be made according to the installation manner or the volume of the target noise source, for example, for an engine which is not easy to dismantle, the selection may be made to perform the noise absorption processing. The embodiment of the present application does not limit any specific verification method.
Fig. 4 is a schematic structural diagram of a determining apparatus 40 of a noise source according to an embodiment of the present application, and for example, please refer to fig. 4, the determining apparatus 40 of the noise source may include:
an acquisition unit 401 is configured to acquire a plurality of vibration signals and a plurality of noise signals that have a noise effect on a detection area in a vehicle.
And the processing unit 402 is configured to determine, according to the multiple vibration signals and the multiple noise signals, a target frequency band to which noise affecting the detection region belongs.
The obtaining unit 401 is further configured to obtain, in a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle, a full-band excitation response value corresponding to each transmission path.
The processing unit 402 is further configured to determine a target noise source affecting the detection area according to the target frequency band and the full-band excitation response value corresponding to each transmission path.
Optionally, the processing unit 402 is specifically configured to generate a full-band excitation response curve corresponding to each transmission path according to the full-band excitation response value corresponding to each transmission path; and determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response curve corresponding to each transmission path.
Optionally, the processing unit 402 is specifically configured to determine, in the full-band excitation response curve corresponding to each transmission path, a target full-band excitation response curve of which an excitation response value corresponding to a target frequency band is greater than a preset threshold; and determining a transmission path corresponding to the target full-band excitation response curve and a corresponding noise source as a target noise source.
Optionally, the processing unit 402 is specifically configured to perform coherence analysis on the multiple vibration signals and the multiple noise signals, and determine a target frequency band.
Optionally, the processing unit 402 is specifically configured to perform fourier transform on the multiple vibration signals and the multiple noise signals to obtain an input self-spectrum, an output self-spectrum, and an input cross-spectrum and an output cross-spectrum corresponding to the multiple vibration signals and the multiple noise signals; and determining a target frequency band according to the input self-spectrum, the output self-spectrum and the input and output cross-spectrum.
Optionally, the processing unit 402 is specifically configured to determine a vibration and noise coherence function according to the input self-spectrum, the output self-spectrum, and the input and output cross-spectra; determining an input partial coherent power spectrum according to the vibration and noise coherence function and the input self-spectrum; and determining a target frequency band according to the input partial coherent power spectrum.
The device 40 for determining a noise source provided in this embodiment of the present application may implement the technical solution of the method for determining a noise source in any embodiment described above, and the implementation principle and the beneficial effect of the method for determining a noise source are similar to those of the method for determining a noise source, which can be referred to as the implementation principle and the beneficial effect of the method for determining a noise source, and are not described herein again.
Fig. 5 is a schematic structural diagram of another noise source determination apparatus 50 provided in the embodiment of the present application, for example, please refer to fig. 5, where the noise source determination apparatus 50 may include a processor 501 and a memory 502; wherein the content of the first and second substances,
the memory 502 is used for storing computer programs.
The processor 501 is configured to read the computer program stored in the memory 502, and execute the technical solution of the noise source determination method in any of the above embodiments according to the computer program in the memory 502.
Alternatively, the memory 502 may be separate or integrated with the processor 501. When the memory 502 is a device independent from the processor 501, the determining means of the noise source may further include: a bus for connecting the memory 502 and the processor 501.
Optionally, this embodiment further includes: a communication interface that may be connected to the processor 501 through a bus. The processor 501 may control the communication interface to implement the above-described functions of acquisition and transmission of the determination means of the noise source.
The device 50 for determining a noise source shown in the embodiment of the present application may execute the technical solution of the method for determining a noise source in any of the above embodiments, and its implementation principle and beneficial effect are similar to those of the method for determining a noise source, and reference may be made to the implementation principle and beneficial effect of the method for determining a noise source, which are not described herein again.
An embodiment of the present application further provides a computer-readable storage medium, where a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the technical solution for implementing the method for determining a noise source in any of the above embodiments is implemented, and an implementation principle and a beneficial effect of the method for determining a noise source are similar to those of the method for determining a noise source, which can be referred to as the implementation principle and the beneficial effect of the method for determining a noise source, and are not described herein again.
The embodiment of the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the technical solution for implementing the method for determining a noise source in any of the above embodiments is implemented, and the implementation principle and the beneficial effect of the method for determining a noise source are similar to those of the method for determining a noise source, which can be referred to as the implementation principle and the beneficial effect of the method for determining a noise source, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts shown as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The computer-readable storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method for determining a noise source, comprising:
acquiring a plurality of vibration signals and a plurality of noise signals which have noise influence on a detection area in a vehicle;
determining a target frequency band to which noise affecting the detection area belongs according to the vibration signals and the noise signals;
acquiring a full-band excitation response value corresponding to each transmission path in a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle;
and determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response value corresponding to each transmission path.
2. The method of claim 1, wherein the determining a target noise source affecting the detection area according to the target frequency band and a full-band excitation response value corresponding to each transmission path comprises:
generating a full-band excitation response curve corresponding to each transmission path according to the full-band excitation response value corresponding to each transmission path;
and determining a target noise source influencing the detection area according to the target frequency band and the full-band excitation response curve corresponding to each transmission path.
3. The method of claim 2, wherein the determining a target noise source affecting the detection area according to the target frequency band and a full-band excitation response curve corresponding to each transmission path comprises:
determining a target full-band excitation response curve of which the excitation response value corresponding to the target frequency band is greater than a preset threshold value in the full-band excitation response curves corresponding to the transmission paths;
and determining a corresponding noise source as the target noise source according to the transmission path corresponding to the target full-band excitation response curve.
4. The method according to any one of claims 1 to 3, wherein the determining a target frequency band to which noise affecting the detection region belongs according to the plurality of vibration signals and the plurality of noise signals comprises:
and performing coherence analysis on the vibration signals and the noise signals to determine the target frequency band.
5. The method of claim 4, wherein performing coherence analysis on the plurality of vibration signals and the plurality of noise signals to determine the target frequency band comprises:
carrying out Fourier transform on the vibration signals and the noise signals to obtain input self-spectrums, output self-spectrums and input and output cross spectrums corresponding to the vibration signals and the noise signals;
and determining the target frequency band according to the input self-spectrum, the output self-spectrum and the input and output cross-spectra.
6. The method of claim 5, wherein determining the target frequency band based on the input self-spectrum, the output self-spectrum, and the input and output cross-spectra comprises:
determining a vibration and noise coherence function from the input self-spectrum, the output self-spectrum, and the cross-spectra of the input and output;
determining an input partial coherence power spectrum according to the vibration and noise coherence function and the input self-spectrum;
and determining the target frequency band according to the input partial coherent power spectrum.
7. A noise source determination apparatus, comprising:
an acquisition unit configured to acquire a plurality of vibration signals and a plurality of noise signals that exert a noise influence on a detection area in a vehicle;
the processing unit is used for determining a target frequency band to which the noise affecting the detection area belongs according to the vibration signals and the noise signals;
the acquiring unit is further configured to acquire a full-band excitation response value corresponding to each transmission path in multiple transmission paths corresponding to multiple noise sources in the vehicle;
and the processing unit is further configured to determine a target noise source affecting the detection area according to the target frequency band and the full-band excitation response values corresponding to the transmission paths.
8. A noise source determination apparatus comprising a processor and a memory; wherein the content of the first and second substances,
the memory for storing a computer program;
the processor is used for reading the computer program stored in the memory and executing the method for determining the noise source according to any one of the claims 1-6 according to the computer program in the memory.
9. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, implement the method of determining a noise source of any of claims 1-6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the method for determining a noise source according to any one of the preceding claims 1 to 6.
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