CN112651354B - Method and device for determining noise source - Google Patents
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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 affecting a detection area is determined, a plurality of vibration signals and a plurality of noise signals which affect the noise of the detection area in a vehicle are obtained; 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 full-band excitation response values corresponding to all transmission paths in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and then, according to the target frequency band and the full frequency band excitation response value corresponding to each transmission path, the target noise source influencing the detection area is determined together, so that the problem of missed judgment or misjudgment 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 present application relates to the field of vehicle noise technologies, and in particular, to a method and an apparatus for determining a noise source.
Background
With the progress of technology and the improvement of living standard of people, vehicles become an indispensable transportation means for people's daily life. In recent years, the requirements of vehicles are higher and higher, and the requirements of noise, vibration and harshness (Noise, vibration, harshness, NVH for short) performance of the vehicles are also put forward while the requirements of vehicle riding instead of walking are met. Accordingly, there is a need in the vehicle manufacturing industry for further optimization of vehicle NVH performance.
In the prior art, noise data of each excitation point in a vehicle cab is obtained, and the noise data and data of response points for receiving noise are analyzed and processed by an extended working condition transmission path analysis (Operation Path Analysis with Exogeneous Inputs, OPAX for short) method, so that noise contribution of each transmission path to a target test point, namely the duty ratio condition of each transmission path, under a full frequency band is obtained, and a main noise source is obtained.
However, the analysis of the data of the excitation point and the response point through the extended working condition transmission path analysis obtains the duty ratio condition 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 application provides a method and a device for determining a noise source, which can solve the problem of missed judgment or misjudgment 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 noise affecting the detection area belongs according to the vibration signals and the noise signals.
And acquiring full-band excitation response values corresponding to all transmission paths 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-frequency band excitation response value corresponding to each transmission path.
In one possible implementation manner, the determining, according to the target frequency band and the full-band excitation response value corresponding to each transmission path, the target noise source affecting the detection area includes:
and generating full-band excitation response curves corresponding to the transmission paths according to the full-band excitation response values corresponding to the transmission paths.
And determining a target noise source influencing the detection area according to the target frequency band and the full-frequency band excitation response curve corresponding to each transmission path.
In one possible implementation manner, the determining, according to the target frequency band and the full-band excitation response curve corresponding to each transmission path, a target noise source affecting the detection area includes:
and determining a target full-frequency-band excitation response curve with the excitation response value corresponding to the target frequency band being greater than a preset threshold value in the full-frequency-band excitation response curves corresponding to the transmission paths.
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 one possible implementation manner, the determining, according to the plurality of vibration signals and the plurality of noise signals, a target frequency band to which noise affecting the detection area belongs includes:
and carrying out coherence analysis on the plurality of vibration signals and the plurality of noise signals to determine the target frequency band.
In one 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 transformation on the plurality of vibration signals and the plurality of noise signals to obtain input self-spectrums, output self-spectrums and input and output cross-spectrums corresponding to the plurality of vibration signals and the plurality of noise signals.
And determining the target frequency band according to the input self spectrum, the output self spectrum and the input and output cross spectrum.
In one possible implementation manner, the determining the target frequency band according to the input self spectrum, the output self spectrum and the input and output cross spectrum includes:
and determining a vibration and noise coherence function according to the input self spectrum, the output self spectrum and the input and output cross spectrum.
An input partial coherence power spectrum is determined from 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 have a noise influence on a detection area 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 acquisition unit is further configured to acquire full-band excitation response values corresponding to each transmission path among a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle.
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-frequency band excitation response value corresponding to each transmission path.
In one 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-frequency band excitation response curve corresponding to each transmission path.
In a possible implementation manner, the processing unit is specifically configured to determine, in full-band excitation response curves corresponding to the transmission paths, a target full-band excitation response curve with an excitation response value corresponding to the target frequency band 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 plurality of vibration signals and the plurality of 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 plurality of vibration signals and the plurality of noise signals, so as to obtain an input self-spectrum, an output self-spectrum, and an input and output cross-spectrum corresponding to the plurality of vibration signals and the plurality of noise signals; and determining the target frequency band according to the input self spectrum, the output self spectrum and the input and output cross spectrum.
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 input and output cross-spectrum; determining an input partial coherence power spectrum from 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 memory is used for storing a computer program.
The processor is configured to read the computer program stored in the memory, and execute the method for determining the noise source according to 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 computer executable instructions are stored, and when executed by a processor, implement a method for determining a noise source as described in any one of the possible implementation manners of the first aspect.
In a fifth aspect, embodiments of the present application further provide a computer program product, comprising a computer program which, when executed by a processor, implements a method for determining a noise source as described in any one of the possible implementations of the first aspect.
Therefore, when the main noise source affecting the detection area is determined, the method and the device for determining the noise source acquire a plurality of vibration signals and a plurality of noise signals which affect the noise of 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 full-band excitation response values corresponding to all transmission paths in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and then, according to the target frequency band and the full frequency band excitation response value corresponding to each transmission path, the target noise source influencing the detection area is determined together, so that the problem of missed judgment or misjudgment 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 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 application;
fig. 2 is a flow chart of a method for determining a noise source according to an embodiment of the present application;
fig. 3 is a schematic flow chart of determining a target frequency band to which noise affecting a detection area belongs according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a device for determining a noise source according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another device for determining a noise source according to an embodiment of the present application.
Specific embodiments of the present disclosure have been shown by way of the above drawings and will be described in more detail below. These drawings and the written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
In embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In the text description of the present application, the character "/" generally indicates that the front-rear associated object is 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 in-car noise source detection of a certain high-top light bus. For example, referring to fig. 1, 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 power assembly suspensions, 2 transmission shaft suspensions, 4 exhaust suspensions, and 6 rear wheel steel plate suspensions may be disposed in the vehicle, and 15 suspension passive ends in total are disposed, and 7 noise input ends are disposed. The three-way acceleration sensor is used for detecting vibration signals respectively generated by 15 suspended passive ends, and the microphone is used for detecting noise signals respectively generated by 7 noise input ends.
According to fig. 1, the 15 suspension passive ends are respectively a right side engine, a left side engine, a rear side 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 side plate spring suspension, a right rear side plate spring suspension, a left front side plate spring suspension, a left rear side plate spring suspension, a right rear axle and a left rear axle, and the 7 noise input ends are respectively an upper side engine, a lower side engine, a right front side wheel, a right rear side wheel, a left front side wheel, a left rear side wheel and a rear side exhaust pipe. In addition, vibration data of key components in a 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 the noise data is used as data of a 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=156.
After determining the number of transmission paths, the common working condition of the vehicle can be selected for detection, for example, the test working condition of the vehicle is set to be a uniform-speed working condition of 90km/h, the sampling frequency is 20480Hz, and the test time is 30s. When the noise source in the vehicle is detected, load identification and frequency response function test are carried out on the detected vibration signals and noise signals, the values of the load and the frequency response function of each transmission path are respectively determined, the response value of each transmission path in the full frequency band is determined according to the values of the load and the frequency response function, and the contribution of each transmission path to the output point in the full frequency band of the noise is determined according to the response value, so that the main noise source causing the noise is determined.
However, the transmission path under the extended working condition determines the main noise source according to the generated response value of each excitation point in the noise full frequency band, so that the problem of missed judgment or erroneous judgment of the main noise source can occur, and 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 can cause the problem of missed judgment or erroneous judgment of the 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 can be determined accurately.
Based on the technical conception, the embodiment of the application provides a method for determining a noise source, wherein when a target noise source affecting a detection area is determined, a plurality of vibration signals and a plurality of noise signals which affect noise in the detection area in a vehicle are acquired; determining a target frequency band to which noise affecting a detection area belongs according to the plurality of vibration signals and the plurality of noise signals; acquiring full-band excitation response values corresponding to all transmission paths in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and determining a target noise source influencing the detection area according to the target frequency band and the full-frequency band excitation response value corresponding to each transmission path.
The detection area may be a cab, an engine compartment, or the like, for example, and may be specifically set according to actual needs. In the following description of the technical solution provided in the present application, the detection area will be described by taking the cab as an example, but the embodiment of the present application is not limited thereto.
It can be seen that, when determining a main noise source affecting a detection area, a plurality of vibration signals and a plurality of noise signals that affect 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 full-band excitation response values corresponding to all transmission paths in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and then, according to the target frequency band and the full frequency band excitation response value corresponding to each transmission path, the target noise source influencing the detection area is determined together, so that the problem of missed judgment or misjudgment of the target noise source can be solved to a certain extent, and the accuracy of determining the noise source is improved.
Hereinafter, a method for determining a noise source provided by the embodiment of the present application will be described in detail by several specific embodiments. It is to be understood that in the embodiments of the present application, the following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
Example 1
Fig. 2 is a flowchart of a method for determining a noise source according to an embodiment of the present application, where the method for determining a noise source may be performed by a software and/or hardware device, and the hardware device may be a terminal or a server, for example. For example, referring to fig. 2, the method for determining the noise source may include:
s201, acquiring a plurality of vibration signals and a plurality of noise signals which have noise influence on a detection area in a vehicle.
For example, when a plurality of vibration signals that have a noise influence on a detection area in a vehicle are acquired, a plurality of vibration signals that have a noise influence on the detection area may be acquired by providing an acceleration sensor in the detection area and by the acceleration sensor. In acquiring a plurality of noise signals that have a noise effect on a detection area in a vehicle, a microphone may be provided in the detection area, and the plurality of noise signals that have a noise effect on the detection area may be acquired by the microphone.
It can be understood that in the embodiment of the present application, the calibrated detection areas are different, and the corresponding setting positions of the acceleration sensor for acquiring the vibration signal and the setting positions of the microphone for acquiring the noise signal are different.
After a plurality of vibration signals and a plurality of noise signals that affect the noise of the detection area are acquired, 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 executed:
s202, determining a target frequency band to which noise affecting a detection area belongs according to a plurality of vibration signals and a plurality of noise signals.
For example, when determining the target frequency band to which the noise affecting the detection area belongs according to the plurality of vibration signals and the plurality of noise signals, coherence analysis may be performed on the plurality of vibration signals and the plurality of noise signals to determine the target frequency band to which the noise affecting the detection area belongs, or the target frequency band to which the noise affecting the detection area belongs may be determined by other methods.
S203, acquiring full-band excitation response values corresponding to all transmission paths among a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle.
For example, when the full-band excitation response value corresponding to each transmission path is obtained, the method of analyzing the transmission path under the extended working condition may be used, or other methods may be used, and the embodiment of the present application is only illustrated by taking the method as an example, but the embodiment of the present application is not limited thereto.
It will be understood that the plurality of vibration signals and the plurality of noise signals that generate the noise effects detected in S201 may be used as input terminals, and in addition, an output terminal may be disposed in the vehicle, through which the effects generated by the noise of the input terminal are detected, for example, the output terminal may be disposed at a position near the ear of the driver, at a position of a seat in the vehicle, or the like.
For example, a plurality of transmission paths generating noise effects 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 the embodiment of the present application will not be described again. The obtained vibration signal and noise signal are subjected to load recognition, that is, the excitation force of each transmission path is determined, and the excitation force of each transmission path can be determined by expressing the structural load as a function of the acceleration signal of each path coupling point by the following formula (1).
In the formula (1), K i (ω)＝-m i ω 2 +jc i ω 2 +k i ，m i 、c i 、k i The three parameters respectively represent the dynamic mass, damping and static stiffness of the elastic element, ω represents the angular velocity, and i represents the imaginary vector. Alpha ai (omega) represents the suspension active end acceleration signal, alpha pi And (ω) represents the suspended passive end acceleration signal.
In addition, it is further required to perform a frequency response function test on each transmission path, and it is understood that for the case that the complexity of the vehicle body structure is high, the connection of the vehicle body parts has insufficient hammering space, and it is difficult to perform the hammering test in a certain direction on the target point, the volume sound source is used to perform the frequency response function test based on the acoustic reciprocity method, so as to determine the frequency response function on each transmission path.
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 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 according to the following formula (2).
In the formula (2), y k (omega) represents the total response of the target point k, n represents the number of transmission paths, k represents the representation symbol of the response point, H ki (ω) represents the frequency response function on the ith transmission path, F i (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 will be described by taking the simple formula as an example, but the present application is not limited thereto.
After determining the full-band excitation response values corresponding to the respective transmission paths, the following S204 may be performed:
s204, determining a target noise source affecting the detection area according to the target frequency band and the full-frequency band excitation response value corresponding to each transmission path.
For example, when determining the 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, the following at least two possible implementation manners may be included:
in one possible implementation manner, the target noise source affecting the detection area may be determined directly 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-frequency-band excitation response value, of which the excitation response value corresponding to the target frequency band is larger than a preset threshold, from the full-frequency-band excitation response values corresponding to the transmission paths; and determining a corresponding noise source as a target noise source according to a transmission path corresponding to the target full-band excitation response value.
In the possible implementation manner, the target transmission path is determined through the excitation response value corresponding to the target frequency band and the size of the preset threshold, and the corresponding noise source, namely the target noise source, is determined according to the target transmission path, so that the influence of the noise of the low frequency band 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 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-frequency band excitation response curve corresponding to each transmission path.
In this possible implementation manner, for example, when determining the target noise source affecting the detection area according to the target frequency band and the full-frequency-band excitation response curve corresponding to each transmission path, a target full-frequency-band excitation response curve with an excitation response value corresponding to the target frequency band greater than a preset threshold may be determined in the full-frequency-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 the possible implementation manner, a target noise source affecting the detection area is determined according to the full-band excitation response curve corresponding to each transmission path, and the change condition of the response value of each transmission path along with the change of frequency can be obviously seen according to the excitation response curve.
It follows that, when determining a main noise source affecting a detection area, a plurality of vibration signals and a plurality of noise signals that affect 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 full-band excitation response values corresponding to all transmission paths in a plurality of transmission paths corresponding to a plurality of noise sources in a vehicle; and then, according to the target frequency band and the full frequency band excitation response value corresponding to each transmission path, the target noise source influencing the detection area is determined together, so that the problem of missed judgment or misjudgment 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 embodiment shown in fig. 2, when determining the target frequency band to which the noise affecting the detection area belongs according to the plurality of vibration signals and the plurality of noise signals, coherence analysis may be performed on the plurality of vibration signals and the plurality of noise signals, so as to determine the target frequency band to which the noise affecting the detection area belongs; the target frequency band to which the noise affecting the detection area belongs may also be determined by other means. The embodiments of the present application will be described by taking as an example a case where a plurality of vibration signals and a plurality of noise signals are subjected to coherence analysis to determine a target frequency band to which noise affecting a detection area belongs, but the embodiments of the present application are not limited thereto.
In order to facilitate understanding of how the plurality of vibration signals and the plurality of noise signals are subjected to the coherence analysis in the embodiment of the present application, the target frequency band is determined, and how the plurality of vibration signals and the plurality of noise signals are subjected to the coherence analysis in the embodiment of the present application will be described in detail below with reference to a second embodiment shown in fig. 3.
Example two
Fig. 3 is a schematic flow chart of determining a target frequency band to which noise affecting a detection area belongs according to an embodiment of the present application, and the method for determining the target frequency band to which noise affecting the detection area belongs may be performed by a software and/or hardware device. For example, referring to fig. 3, the method for determining the target frequency band to which the noise affecting the detection area belongs may include:
s301, performing 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.
The input self-spectrum is an input self-power spectrum, the output self-spectrum is an output self-power spectrum, and the input and output cross-spectrums are input and output cross-power spectrums. The power spectrum is an abbreviation for power spectral density function, defined as the signal power within 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.
For example, assuming that the vibration signal is X (t), the noise signal is Y (t), fourier transforms are performed on the plurality of vibration signals and the noise signal, respectively, to obtain a vibration signal after fourier transform is X (f), and the noise signal is Y (f). And determining input self-spectrums, output self-spectrums and input and output cross-spectrums corresponding to the vibration signals and the noise signals according to the vibration signals and the noise signals after Fourier transformation through the following formula (3) and formula (4).
In the above formula (3) and formula (4), S xixi Representing the input self-spectrum S yy Represent the output self-spectrum, S yxi Representing the input and output cross-spectra, T representing the record length of the Fourier transform, and E representing the mathematical expectation. X is X i * (f) X represents * (f) Conjugate complex number of Y * (f) Represents 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 spectrum.
By way of example, the coherence function gamma of vibration and noise can be determined according to the following equation (5) 2 xy 。
S303, determining an input partial coherent power spectrum according to the vibration and noise coherent function and the input self spectrum.
By way of example, the input partial coherent power may be determined according to the following equation (6)Rate spectrum S' xy 。
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 embodiment of the present application does not limit the target frequency band.
It can be seen that, after the target frequency band is determined by performing coherence analysis on the plurality of vibration signals and the plurality of noise signals, the target noise source affecting 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, so that the problem of missing or misjudging 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 determining the target frequency band, it may be further verified whether the determination result is accurate. For example, when the verification determination result is accurate, the determination result may be verified by removing, replacing or absorbing sound of the corresponding component, or may be verified by other methods. The present application is described by way of example only with respect to removal, replacement, or sound absorption and insulation treatment of corresponding components, but the embodiments of the present application are not limited thereto. Next, how the result of the determination is verified 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, the determination of whether the result is accurate may be verified by removing the corresponding component. For example, if it is determined that the target noise source is one wheel of the vehicle by the method described in the above embodiment, the wheel may be disassembled. The method described in the above embodiment performs noise detection on the vehicle from which the wheel is removed, and if there is no corresponding transmission path in the original target frequency band, determines that the wheel is a target noise source.
In another possible implementation, the determination of whether the result is accurate may be verified by replacing the corresponding component. For example, by determining that the target noise source is two of the drive shafts of the vehicle through the method described in the above embodiment, the drive shafts of the target noise source may be replaced with the two drive shafts with better performance. The method described in the above embodiment performs noise detection on the vehicle after the transmission shaft is replaced, and if no corresponding transmission path exists in the original target frequency band, determines that the two replaced transmission shafts are target noise sources.
In another possible implementation, whether the determination result is accurate may be verified by noise-absorbing processing on the component generating the target noise. For example, when 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 that noise generated by the engine is reduced. The method described in the above embodiment performs noise detection on the vehicle subjected to the sound absorption treatment, and if there is no corresponding transmission path in the original target frequency band, determines that the engine is a target noise source.
It is understood that when the verification determination result is selected to be accurate, the selection may be made according to the installation manner or volume of the target noise source, for example, the verification may be made in such a manner that the noise absorbing process may be selected for an engine which is inconvenient to disassemble. The embodiment of the application does not limit the specific verification mode.
Fig. 4 is a schematic structural diagram of a device 40 for determining a noise source according to an embodiment of the present application, for example, referring to fig. 4, the device 40 for determining a noise source may include:
an acquisition unit 401 for acquiring a plurality of vibration signals and a plurality of noise signals that have a noise influence on a detection area in a vehicle.
The processing unit 402 is configured to determine, according to the plurality of vibration signals and the plurality of noise signals, a target frequency band to which noise affecting the detection area belongs.
The obtaining unit 401 is further configured to obtain full-band excitation response values corresponding to each transmission path among a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle.
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 affecting the detection area according to the target frequency band and the full-frequency 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 curves corresponding to the transmission paths, a target full-band excitation response curve with an excitation response value corresponding to the target frequency band greater than a preset threshold; 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.
Optionally, the processing unit 402 is specifically configured to perform coherence analysis on the plurality of vibration signals and the plurality of noise signals, and determine the target frequency band.
Optionally, the processing unit 402 is specifically configured to perform fourier transform on the plurality of vibration signals and the plurality of noise signals, so as to obtain an input self-spectrum, an output self-spectrum, and an input and output cross-spectrum corresponding to the plurality of vibration signals and the plurality of noise signals; and determining the 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-spectrums; 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 the embodiment of the present application may execute the technical scheme of the method for determining a noise source in any of the above embodiments, and the implementation principle and beneficial effects of the method for determining a noise source are similar to those of the method for determining a noise source, and may refer to the implementation principle and beneficial effects of the method for determining a noise source, which are not described herein.
Fig. 5 is a schematic structural diagram of another apparatus 50 for determining a noise source according to an embodiment of the present application, for example, referring to fig. 5, the apparatus 50 for determining a noise source may include a processor 501 and a memory 502; wherein,,
the memory 502 is used for storing a computer program.
The processor 501 is configured to read the computer program stored in the memory 502, and execute the technical scheme of the method for determining the noise source in any of the foregoing 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 determination means of the noise source may further include: a bus for connecting the memory 502 and the processor 501.
Optionally, the present embodiment further includes: a communication interface, which may be connected to the processor 501 via a bus. The processor 501 may control the communication interface to implement the functions of acquisition and transmission of the noise source determination means described above.
The device 50 for determining a noise source according to the embodiment of the present application may execute the technical scheme of the method for determining a noise source in any of the above embodiments, and the implementation principle and beneficial effects of the method for determining a noise source are similar to those of the method for determining a noise source, and may refer to the implementation principle and beneficial effects of the method for determining a noise source, which are not described herein.
The embodiment of the application also provides a computer readable storage medium, in which computer executing instructions are stored, when a processor executes the computer executing instructions, the technical scheme of the method for determining the noise source in any embodiment is realized, and the implementation principle and the beneficial effects are similar to those of the method for determining the noise source, and can be seen in the implementation principle and the beneficial effects of the method for determining the noise source, and are not repeated herein.
The embodiment of the application also provides a computer program product, which comprises a computer program, when the computer program is executed by a processor, the technical scheme of the method for determining the noise source in any embodiment is realized, the realization principle and the beneficial effects of the method are similar to those of the method for determining the noise source, and the realization principle and the beneficial effects of the method for determining the noise source can be seen, and the detailed description is omitted herein.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection illustrated or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated modules, which are implemented in the form of software functional modules, may be stored in a computer readable storage medium. The software functional module is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some steps of the methods of the embodiments of the application.
It should be understood that the above processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. 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 application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk or optical disk, etc.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or to one type of bus.
The computer-readable storage medium described above 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 disk. 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 for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application.
Claims (4)
1. A method of 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 plurality of vibration signals and the plurality of noise signals;
acquiring full-band excitation response values corresponding to all transmission paths in a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle;
generating full-band excitation response curves corresponding to the transmission paths according to the full-band excitation response values corresponding to the transmission paths;
determining a target full-frequency-band excitation response curve with excitation response values larger than a preset threshold value corresponding to the target frequency band in the full-frequency-band excitation response curves corresponding to the transmission paths;
determining a corresponding noise source as a target noise source according to a transmission path corresponding to the target full-band excitation response curve;
performing coherence analysis on the plurality of vibration signals and the plurality of noise signals to determine the target frequency band, including:
performing Fourier transform on the plurality of vibration signals and the plurality of noise signals to obtain input self-spectrums, output self-spectrums and input and output cross-spectrums corresponding to the plurality of vibration signals and the plurality of noise signals;
determining a vibration and noise coherence function from the input self spectrum, the output self spectrum, and the input and output cross spectrum;
determining an input partial coherence power spectrum from 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 and the type of the vehicle.
2. A noise source determining apparatus, comprising:
an acquisition unit configured to acquire a plurality of vibration signals and a plurality of noise signals that have a noise influence on a detection area in a vehicle;
a processing unit, configured to determine, according to the plurality of vibration signals and the plurality of noise signals, a target frequency band to which noise affecting the detection area belongs;
the acquisition unit is further used for acquiring full-band excitation response values corresponding to all transmission paths in a plurality of transmission paths corresponding to a plurality of noise sources in the vehicle;
the processing unit is further 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;
the processing unit is further configured to determine, in full-band excitation response curves corresponding to the transmission paths, a target full-band excitation response curve with an excitation response value corresponding to the target frequency band greater than a preset threshold; 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;
the processing unit is configured to perform coherence analysis on the plurality of vibration signals and the plurality of noise signals, and determine the target frequency band, and includes: performing Fourier transform on the plurality of vibration signals and the plurality of noise signals to obtain input self-spectrums, output self-spectrums and input and output cross-spectrums corresponding to the plurality of vibration signals and the plurality of noise signals; determining a vibration and noise coherence function from the input self spectrum, the output self spectrum, and the input and output cross spectrum; determining an input partial coherence power spectrum from 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 and the type of the vehicle.
3. A device for determining a noise source, comprising a processor and a memory; wherein,,
the memory is used for storing a computer program;
the processor is configured to read the computer program stored in the memory, and execute the method for determining the noise source according to the computer program in the memory.
4. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the method of determining a noise source of claim 1.
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| CN114252199B (en) * | 2021-11-26 | 2024-02-20 | 潍柴动力股份有限公司 | Cylinder air leakage detection method and related device |
| CN114689167A (en) * | 2022-03-28 | 2022-07-01 | 岚图汽车科技有限公司 | Method and device for determining position of intermittent low-frequency sound problem in vehicle |
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