EP4600948A1

EP4600948A1 - Noise control method and apparatus, system, device, storage medium, and program product

Info

Publication number: EP4600948A1
Application number: EP25154832.7A
Authority: EP
Inventors: Qing Gong; Yaxuan SUN; Yongji Zhao; Zhufang YAN; Yang Wu
Original assignee: BYD Co Ltd
Current assignee: BYD Co Ltd
Priority date: 2024-01-31
Filing date: 2025-01-29
Publication date: 2025-08-13
Also published as: WO2025162337A1; CN120412519A

Abstract

The present disclosure discloses a noise control method and apparatus, a system, a device, a storage medium, and a program product. The method includes: receiving a noise signal and a plurality of vibration signals of a noise reduction object; performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; where the noise frequency band is a frequency band of a noise peak of the noise reduction object; and generating a control signal according to the noise reduction signal, where the control signal is used to instruct the noise reduction object to output the noise reduction signal. The method can effectively improve noise reduction effect of the noise reduction signal.

Description

FIELD

The present disclosure relates to the field of automobile technologies, and in particular, to a noise control method and apparatus, a system, a device, a storage medium, and a program product.

BACKGROUND

With the developing trend of automobile electrification and weight reduction, noise generated during driving of automobiles can easily penetrate automobiles, causing noise pollution in automobiles.
At present, road noise active control systems are commonly installed on vehicles, and vehicle vibration signals are used as reference signals to perform noise reduction processing on vehicles.
However, directly using vehicle vibration signals as reference signals for noise reduction processing makes reference signals relatively narrow, resulting in poor noise reduction effect.

SUMMARY

In view of the above defects or deficiencies in the existing technology, it is desired to provide a noise control method and apparatus, a system, a device, a storage medium, and a program product, which can effectively improve noise reduction effect of a noise reduction signal.
According to a first aspect, the present disclosure provides a noise control method. The method includes:

receiving a noise signal and a plurality of vibration signals of a noise reduction obj ect;
performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; where the noise frequency band is a frequency band of a noise peak of the noise reduction object; and
generating a control signal according to the noise reduction signal, where the control signal is used to instruct the noise reduction object to output the noise reduction signal.

With reference to the first aspect, in a possible implementation, the performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object includes: performing coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine a coherent vibration signal corresponding to the noise signal in each noise frequency band; determining a reference signal of the noise signal based on the coherent vibration signal corresponding to the noise signal in each noise frequency band; and determining the noise reduction signal based on the reference signal.
With reference to the first aspect, in a possible implementation, the performing coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine a coherent vibration signal corresponding to the noise signal in each noise frequency band includes: for each noise frequency band, determining correlation coefficients between the noise signal and the plurality of vibration signals in the noise frequency band; and determining candidate vibration signals whose correlation coefficients satisfy a preset coherence condition, and determining a corresponding coherent vibration signal in the noise frequency band based on the candidate vibration signal.
With reference to the first aspect, in a possible implementation, the determining a correlation coefficient between the noise signal and the plurality of vibration signals in a noise frequency band includes: calculating, for each vibration signal, the correlation coefficient between the noise signal and the vibration signal according to a cross power spectrum between the noise signal and the vibration signal, an autopower spectrum of the vibration signal, and an autopower spectrum of the noise signal.
With reference to the first aspect, in a possible implementation, the correlation coefficient between the noise signal and the vibration signal satisfies the following formula: $γ_{x_{j} y_{k}} {(f)}^{2} = \frac{{|S_{x_{j} y_{k}} (f)|}^{2}}{S_{x_{j} x_{j}} (f) S_{y_{k} y_{k}} (f)}$
where γ_xjyk (f) is the correlation coefficient between the noise signal and the vibration signal, S_xjyk (f) is the cross power spectrum between the noise signal and the vibration signal, S _{x j x j}(/) is the autopower spectrum of the vibration signal, S_ykyk (f) is the autopower spectrum of the noise signal, j is a j^th vibration signal, and k is a k^th noise signal.
With reference to the first aspect, in a possible implementation, the determining candidate vibration signals whose correlation coefficients satisfy a preset coherence condition, and determining a corresponding coherent vibration signal in the noise frequency band based on the candidate vibration signal includes: for each noise frequency band, sorting the plurality of vibration signals according to the correlation coefficients, and determining candidate vibration signals according to a sorting result; and performing signal fusion processing on the candidate vibration signals to obtain the corresponding coherent vibration signal in the noise frequency band.
With reference to the first aspect, in a possible implementation, the sorting the plurality of vibration signals according to the correlation coefficients, and determining candidate vibration signals according to a sorting result includes: sorting the plurality of vibration signals in descending order according to the correlation coefficients, and determining the first n vibration signals as candidate vibration signals.
With reference to the first aspect, in a possible implementation, the performing signal fusion processing on the plurality of candidate vibration signals to obtain the corresponding coherent vibration signal in the noise frequency band includes: performing a summation operation on the plurality of candidate vibration signals to obtain the corresponding coherent vibration signal in the noise frequency band.
With reference to the first aspect, in a possible implementation, the determining a reference signal of the noise signal based on the coherent vibration signal corresponding to the noise signal in each noise frequency band includes: performing signal fusion processing on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal.
With reference to the first aspect, in a possible implementation, the performing signal fusion processing on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal includes: performing a summation operation on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal.
With reference to the first aspect, in a possible implementation, the plurality of noise frequency bands include different noise frequency bands at different noise acquisition locations.
With reference to the first aspect, in a possible implementation, the noise control method further includes: determining a current noise acquisition location of the noise reduction object, and determining a plurality of noise frequency bands that match the current noise acquisition location.
According to a second aspect, the present disclosure further provides a noise control method. The method includes:

receiving a noise signal of a noise reduction object and determining a plurality of noise frequency bands corresponding to the noise signal; where the noise frequency band is a frequency band of a noise peak of the noise reduction object; and
determining, according to a noise reduction configuration parameter, a noise reduction signal corresponding to the plurality of noise frequency bands; where the noise reduction configuration parameter includes noise reduction signals corresponding to different noise frequency band combinations; and the noise frequency band combination includes a plurality of different noise frequency bands.

With reference to the second aspect, in a possible implementation, the noise control method further includes: outputting the noise reduction signal.
With reference to the second aspect, in a possible implementation, the outputting the noise reduction signal includes: outputting a control signal; where the control signal is used to instruct the noise reduction object to output the noise reduction signal.
With reference to the second aspect, in a possible implementation, the determining, according to a noise reduction configuration parameter, a noise reduction signal corresponding to the plurality of noise frequency bands includes: searching for a target noise frequency band combination that matches the plurality of noise frequency bands from different noise frequency band combinations included in the noise reduction configuration parameter; and determining a noise reduction signal corresponding to the target noise frequency band combination as the noise reduction signal corresponding to the plurality of noise frequency bands.
With reference to the second aspect, in a possible implementation, the outputting the noise reduction signal includes: outputting a control signal; where the control signal is used to instruct the noise reduction object to output the noise reduction signal.
With reference to the second aspect, in a possible implementation, a process of determining the noise reduction configuration parameter includes: receiving a noise signal and a plurality of vibration signals of a noise reduction object; performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; and determining the noise reduction configuration parameter according to the plurality of noise frequency bands and the noise reduction signal.
With reference to the second aspect, in a possible implementation, the performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object includes: performing coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine a coherent vibration signal corresponding to the noise signal in each noise frequency band; determining a reference signal of the noise signal based on the coherent vibration signal corresponding to the noise signal in each noise frequency band; and determining the noise reduction signal based on the reference signal of the noise signal.
With reference to the second aspect, in a possible implementation, the plurality of noise frequency bands include different noise frequency bands of the noise reduction object at different speeds, or the plurality of noise frequency bands include a same noise frequency band of the noise reduction object at different speeds, or the plurality of noise frequency bands include a same noise frequency band of the noise reduction object at a same speed.
With reference to the second aspect, in a possible implementation, the noise reduction configuration parameter includes a correspondence between a speed and a noise reduction signal, and a correspondence between a noise frequency band combination and a noise reduction signal.
With reference to the second aspect, in a possible implementation, the noise control method further includes: determining a current speed of the noise reduction object; determining, according to the noise reduction configuration parameter, a noise reduction signal corresponding to the current speed; and outputting a control signal; where the control signal is used to instruct the noise reduction object to output the noise reduction signal.
According to a third aspect, the present disclosure further provides a noise control apparatus. The apparatus includes:

a receiving module, configured to receive a noise signal and a plurality of vibration signals of a noise reduction object;
a determination module, configured to perform noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; where the noise frequency band is a frequency band of a noise peak of the noise reduction object; and
a generation module, configured to generate a control signal according to the noise reduction signal, where the control signal is used to instruct the noise reduction object to output the noise reduction signal.

According to a fourth aspect, the present disclosure further provides a noise control system. The system includes: a vibration signal acquisition apparatus, a noise signal acquisition apparatus, a signal output apparatus, and the noise control apparatus according to the second aspect, where

the vibration signal acquisition device is configured to acquire vibration signals of a noise reduction object and send the vibration signals to the noise control apparatus;
the noise signal acquisition device is configured to acquire a noise signal of the noise reduction object and send the noise signal to the noise control apparatus; and
the noise control apparatus is configured to receive the vibration signals and the noise signal, to perform noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object, and output the noise reduction signal through the signal output apparatus; and the noise frequency band is a frequency band of a noise peak of the noise reduction object.

With reference to the fourth aspect, in a possible implementation, the noise reduction object is a vehicle, the vibration signal acquisition apparatus is an acceleration sensor on the vehicle, the noise signal acquisition apparatus is a microphone on the vehicle, and the signal output apparatus is a speaker on the vehicle.
According to a fifth aspect, the present disclosure further provides an electronic device. The computer device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the method according to the first aspect is implemented.
According to a sixth aspect, the present disclosure further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the processor executes the computer program, the method according to the first aspect is implemented.
According to a seventh aspect, the present disclosure further provides a computer program product. The computer program product includes a computer program, and when a processor executes the computer program, the method according to the first aspect is implemented.
Examples of the present disclosure provide a noise control method and apparatus, a system, a device, a storage medium, and a program product. After receiving the noise signal and the plurality of vibration signals of the noise reduction object, frequency bands can be divided based on noise peaks to determine the plurality of noise frequency bands with high noise energy, then noise reduction analysis is performed on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine some vibration signals that mainly cause noise, and the noise reduction signal of the noise reduction object is determined based on these vibration signals, so that the noise reduction signal determined based on the vibration signals with high coherence with the noise signal is more accurate and the noise reduction effect is better.

BRIEF DESCRIPTION OF THE DRAWINGS

Other characteristics, objectives, and advantages of the present disclosure will become more apparent by reading the detailed description of non-limiting examples made with reference to the following drawings:

FIG. 1 is a diagram of an application environment of a noise control method according to an example;
FIG. 2 is a schematic flowchart of a noise control method according to an example;
FIG. 3 shows a power spectrum of a noise signal according to an example;
FIG. 4 is another schematic flowchart of a noise control method according to an example;
FIG. 5 is another schematic flowchart of a noise control method according to an example;
FIG. 6 is a diagram of a correlation coefficient curve in a noise control method according to an example;
FIG. 7 is a diagram of a correlation coefficient curve in a noise control method according to an example;
FIG. 8 is a diagram of another application environment of a noise control method according to an example;
FIG. 9 is another schematic flowchart of a noise control method according to an example;
FIG. 10 is another schematic flowchart of a noise control method according to an example;
FIG. 11 is another schematic flowchart of a noise control method according to an example;
FIG. 12 is a diagram of another application environment of a noise control method according to an example;
FIG. 13 is a structural block diagram of a noise control apparatus according to an example; and
FIG. 14 is a diagram of an internal structure of a computer device according to an example.

DETAILED DESCRIPTION

The present disclosure is further described in detail below with reference to the accompanying drawings and examples. It may be understood that, the specific examples described herein are merely used for illustrating a related invention, but are not limited to the invention. In addition, it should be noted that, For ease of description, only a part related to the invention is shown in the accompanying drawings.
It should be noted that, the examples in the present disclosure and features in the examples can be combined with each other in the case of no conflict. The present disclosure is described in detail below with reference to the accompanying drawings and examples. The term "and/or" used herein describes only an association relationship for describing associated objects and represents that three relationships may exist. For example, A and/or B may represent the following three cases: only A exists, both A and B exist, and only B exists. In the specification and claims of the examples of the present disclosure, the terms such as "first" and "second" are used to distinguish between different objects, but are not used to describe a particular sequence of the objects.
A noise control method provided in the examples of the present disclosure can be applied to a noise control system shown in FIG. 1. The system includes a noise control apparatus 10, a vibration signal acquisition apparatus 20, a noise signal acquisition apparatus 30, and a signal output apparatus 40. The noise control apparatus 10 can receive vibration signals acquired by the vibration signal acquisition apparatus 20 and a noise signal acquired by the noise signal acquisition apparatus 30, determine a noise reduction signal based on the vibration signals and the noise signal, and control the signal output apparatus 40 to output the noise reduction signal. The noise control apparatus 10 may be integrated on a vehicle main unit, or may be a separate apparatus.
In an example, as shown in FIG. 2, a noise control method is provided. The method is explained by taking the method being applied to the noise control apparatus 10 in FIG. 1 as an example, and includes the following steps:
Step 101: Receive a noise signal and a plurality of vibration signals of a noise reduction object.
In this example of the present disclosure, when the noise reduction object travels, the noise signal of the noise reduction object is acquired by the noise signal acquisition apparatus 30, and the vibration signals of the noise reduction object are acquired by the vibration signal acquisition apparatus 20.
The following example will be described by taking the noise reduction object having 1 noise signal acquisition apparatus 30 and 4 vibration signal acquisition apparatuses 20 as an example. It should be noted that, 1 noise signal acquisition apparatus 30 acquires 1 noise signal of the noise reduction object. Since the noise reduction object has 3 vibration directions in a vibration process, the 4 vibration signal acquisition apparatuses 20 acquire 12 vibration signals.
Step 102: Perform noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object.
The noise frequency band is a frequency band of a noise peak of the noise reduction object.
In this example of the present disclosure, the noise control apparatus 10 can first calculate a power spectrum of the noise signal, and then determine frequency bands of a plurality of noise peaks based on the power spectrum, thereby obtaining a plurality of noise frequency bands.
For example, as shown in FIG. 3, the noise control apparatus 10 calculates the power spectrum of the noise signal, and based on six noise peaks 58Hz, 133Hz, 152Hz, 188Hz, 244Hz, and 322Hz and Δf = 10Hz of peak frequencies, considering that two adjacent peaks may overlap during frequency band division, obtains five noise frequency bands through division: A (48 to 68Hz), B (123 to 162Hz), C (178 to 198Hz), D (234 to 254Hz), and E (312 to 332Hz), and stores the obtained noise frequency bands in a frequency band database. The noise peak can be determined manually based on experience, or can be obtained by processing the noise signal through a local maximum value peak finding algorithm. Specifically, a part of a power spectrum curve of the noise signal in which the noise signal is greater than a preset threshold (for example, a part of the curve in which the noise is greater than 45dBA) may be first cut out, then the curve cut out is processed through the local maximum value peak finding algorithm, to find a local maximum value from the curve cut out, and the local maximum value is determined as the noise peak.
Then, the noise control apparatus 10 can cut each vibration signal according to a plurality of noise frequency bands, and cut out a part of the vibration signal that corresponds to the plurality of noise frequency bands. Since the noise frequency band is a frequency band of a noise peak of the noise reduction object, the part of the vibration signal cut out is a part that is of the complete vibration signal and that mainly causes noise.
Finally, noise reduction analysis is performed based on the part of the vibration signal that is cut out and that mainly causes noise, to determine the noise reduction signal of the noise reduction object. For example, an opposite signal of the part of the vibration signal cut out is determined as the noise reduction signal of the noise reduction object.
In a possible implementation, the plurality of noise frequency bands include different noise frequency bands of the noise reduction object at different speeds. That is, during experiment of the noise reduction signal, the noise reduction object is controlled to move at a constant speed of a plurality of speeds, and a noise signal is acquired for each speed. Then, a plurality of noise frequency bands corresponding to each noise signal are determined, to obtain different noise frequency bands of the noise reduction object at different speeds, and the different noise frequency bands are stored in the frequency band database. For example, noise frequency bands at speed v1 of the noise reduction object are A, B, C, D, and E, noise frequency bands at speed v2 are F, G, and H, and noise frequency bands at speed v3 are I, J, K, and L. When the noise reduction object is a vehicle, a plurality of speeds can be selected within the range of 40kph to 70kph for constant-speed driving experiment.
In a possible implementation, the plurality of noise frequency bands include a same noise frequency band of the noise reduction object at different speeds. That is, during experiment of the noise reduction signal, the noise reduction object is controlled to move at variable speeds within a speed range, and a noise signal is acquired during the movement. Then, a plurality of noise frequency bands corresponding to the noise signal are determined, to obtain a same noise frequency band of the noise reduction object at different speeds, and the same noise frequency band is stored in the frequency band database. For example, the noise reduction object is controlled to move at variable speeds within a speed range v_min to v_max (which can be 40kph to 70kph), a noise signal is acquired during the variable-speed movement, and then a plurality of noise frequency bands corresponding to the noise signal are determined, that is, a same noise frequency band of the noise reduction object at different speeds is obtained.
In a possible implementation, the plurality of noise frequency bands include a same noise frequency band of the noise reduction object at a same speed. That is, during experiment of the noise reduction signal, the noise reduction object is controlled to move at a constant speed and a noise signal is acquired. Then, a plurality of noise frequency bands corresponding to the noise signal are determined, to obtain a same noise frequency band of the noise reduction object at a same speed, and the same noise frequency band is stored in the frequency band database. For example, the noise reduction object is controlled to move at a constant speed v1, a noise signal is acquired during the constant-speed movement, and then a plurality of noise frequency bands corresponding to the noise signal are determined, that is, a same noise frequency band of the noise reduction object at a same speed is obtained.
Step 103: Generate a control signal according to the noise reduction signal.
The control signal is used to instruct the noise reduction object to output the noise reduction signal.
In this example of the present disclosure, after determining the noise reduction signal, the noise control apparatus 10 can generate the control signal and send the control signal to the signal output apparatus 40 to instruct the signal output apparatus 40 to output the noise reduction signal.
In the method provided in this example of the present disclosure, after receiving the noise signal and the plurality of vibration signals of the noise reduction object, frequency bands can be divided based on noise peaks to determine the plurality of noise frequency bands with high noise energy, then noise reduction analysis is performed on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine some vibration signals that mainly cause noise, and the noise reduction signal of the noise reduction object is determined based on these vibration signals, so that the noise reduction signal determined based on the vibration signals with high coherence with the noise signal is more accurate and the noise reduction effect is better.
The foregoing example describes a solution of performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands to determine a noise reduction signal of the noise reduction object. In another example of the present disclosure, the noise reduction signal may be determined through coherence analysis. This example includes steps shown in FIG. 4:
Step 201: Perform coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine a coherent vibration signal corresponding to the noise signal in each noise frequency band.
In this example of the present disclosure, the noise control apparatus 10 performs coherence analysis on the noise signal and the vibration signals, to determine a coherence analysis result of the noise signal and the vibration signals in each noise frequency band. Finally, a vibration signal with the highest coherence is determined as the coherent vibration signal of the noise signal in the noise frequency band, or a signal obtained after fusion processing of a plurality of vibration signals with relatively high coherence is determined as the coherent vibration signal of the noise signal in the noise frequency band.
For example, the noise control apparatus 10 performs coherence analysis on the noise signal and 12 vibration signals respectively. Specifically, the coherence between the noise signal and each vibration signal can be determined by calculating a correlation coefficient. It is understandable that coherence between the noise signal and a vibration signal is different at different frequencies, that is, coherence between a same vibration signal and the noise signal is different in different noise frequency bands. Therefore, the 12 vibration signals are sorted in the same noise frequency band according to coherence, and sorting results of the vibration signals in different noise frequency bands are also different.
Then, a vibration signal with the highest coherence is selected and determined as the coherent vibration signal of the noise signal in each noise frequency band based on the sorting result, or a plurality of vibration signals with relatively high coherence are determined as candidate vibration signals, and a signal obtained after fusion processing of the plurality of candidate vibration signals is determined as the coherent vibration signal of the noise signal in the noise frequency band.
A process of determining the candidate vibration signals can be: sorting the plurality of vibration signals in descending order according to the correlation coefficient, and determining the first n vibration signals as candidate vibration signals.
Step 202: Determine a reference signal of the noise signal based on the coherent vibration signal corresponding to the noise signal in each noise frequency band.
In this example of the present disclosure, a coherent vibration signal with the highest coherence with the noise signal can be selected from coherent vibration signals corresponding to noise frequency bands and determined as the reference signal of the noise signal. Alternatively, a signal obtained after fusion of a plurality of coherent vibration signals can be determined as the reference signal of the noise signal. Alternatively, the coherent vibration signal corresponding to each noise frequency band can be directly determined as the reference signal of the noise signal.
Step 203: Determine the noise reduction signal based on the reference signal.
In this example of the present disclosure, the reference signal, as a signal with high coherence with the noise signal, is the main cause of noise. Therefore, the noise control apparatus 10 can determine the opposite signal of the reference signal as the noise reduction signal to effectively offset the noise signal, to achieve noise reduction effect.
In the method provided by this example of the present disclosure, coherence analysis may be performed on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine a coherent vibration signal with high coherence with the noise signal in each noise frequency band. Then, the reference signal is determined based on the coherent vibration signal corresponding to each noise frequency band, and the noise reduction signal is determined based on the reference signal. In this example of the present disclosure, not only the high coherence between the reference signal and the noise signal is considered, but also the difference in coherence between different vibration signals and the noise signal in different noise frequency bands is considered, frequency bands are divided, and the coherent vibration signal with high coherence with the noise signal is determined in each noise frequency band, so that the reference signal finally determined based on the coherent vibration signal is more accurate, effectively improving noise reduction effect of the noise reduction signal.
The foregoing example describes the solution that the plurality of noise frequency bands include different noise frequency bands of the noise reduction object at different speeds. In another example of the present disclosure, matching can be performed based on the current speed, and noise reduction can be performed based on a matching result. The example includes the following step:
determining a current speed of the noise reduction object, and determining a plurality of noise frequency bands that match the current speed.
In this example of the present disclosure, when the experiment is based on a plurality of speeds, a plurality of noise frequency bands corresponding to each speed are determined. When the noise reduction object drives, a plurality of noise frequency bands that match a current speed of the noise reduction object can be determined, then the reference signal corresponding to the current speed can be determined through processes such as coherence analysis, coherent vibration signal determination, and coherent vibration signal fusion, and the noise reduction signal is outputted based on the reference signal.
In a possible implementation of the method, the reference signal corresponding to each speed can also be determined in an experimental stage through processes such as coherence analysis, coherent vibration signal determination, and coherent vibration signal fusion, and a correspondence between the speed and the reference signal can be obtained. When the noise reduction object drives, the reference signal that matches the current speed can be directly determined, and the noise reduction signal is outputted based on the reference signal.
In the method provided by this example of the present disclosure, the noise frequency bands corresponding to each of different speeds are determined, and when the noise reduction object drives, noise frequency bands can be matched in real time based on the current speed, so that the outputted noise reduction signal better matches the noise signal generated by the noise reduction object at the current speed, which can improve noise reduction flexibility and achieve better noise reduction effect.
The foregoing example describes the solution of determining coherent vibration signals through coherence analysis. In another example of the present disclosure, coherence analysis can be implemented by calculating a correlation coefficient. This example includes steps shown in FIG. 5:
Step 301: Determine a correlation coefficient between the noise signal and the plurality of vibration signals in each noise frequency band.
In this example of the present disclosure, the noise control apparatus 10 can calculate a correlation coefficient curve of the noise signal and each vibration signal through the following formula (1): $γ_{x_{j} y_{k}} {(f)}^{2} = \frac{{|s_{x_{j} y_{k}} (f)|}^{2}}{s_{x_{j} x_{j}} (f) s_{y_{k} y_{k}} (f)}$
where S_xjyk (f) is a cross power spectrum of the noise signal and the vibration signal, S _{x j x j}(f) is an autopower spectrum of the vibration signal, S_ykyk (f) is an autopower spectrum of the noise signal, j is a j^th vibration signal, and k is a k^th noise signal.
FIG. 6 shows 12 correlation coefficient curves calculated for 1 noise signal and 12 vibration signals. In the correlation coefficient curve, the abscissa is a frequency, and the ordinate is a correlation coefficient.
Step 302: Determine candidate vibration signals whose correlation coefficients satisfy a preset coherence condition, and determine a corresponding coherent vibration signal in the noise frequency band based on the candidate vibration signal.
The preset coherence condition may be that the correlation coefficient is greater than a preset threshold, or may be that the correlation coefficient is ranked in the first n places in descending order.
In this example of the present disclosure, each correlation coefficient curve is cut based on the plurality of noise frequency bands determined in the above example. Then, for each noise frequency band, there are a plurality of correlation coefficient curve segments. It can be understood that one correlation coefficient curve segment corresponds to one vibration signal. For example, as shown in FIG. 7, 12 correlation coefficient curves are cut based on the noise frequency band 40Hz to 70Hz, and 12 correlation coefficient curve segments are obtained.
For each noise frequency band, a vibration signal whose correlation coefficient satisfies the preset coherence condition is determined as a candidate vibration signal. For example, the vibration signals are sorted in descending order according to the correlation coefficient, and the first 3 vibration signals are determined as candidate vibration signals. Then, fusion processing is performed on the candidate vibration signals, and a signal obtained after fusion processing is determined as a corresponding coherent vibration signal in the noise frequency band. For example, a signal obtained by adding the three candidate vibration signals is determined as a corresponding coherent vibration signal in the noise frequency band 40Hz to 70Hz.
In the method provided by this example of the present disclosure, the correlation coefficient curve of the noise signal and each vibration signal can be calculated, the curve is cut based on each noise frequency band, the candidate vibration signal with higher coherence with the noise signal is determined for each noise frequency band based on the preset coherence condition, and the coherent vibration signal corresponding to the noise frequency band is determined based on the candidate vibration signal, which can avoid the interference of a vibration signal with weak coherence with the noise signal and ensure the accuracy of the coherent vibration signal. In this example of the present disclosure, not only the high coherence between the reference signal and the noise signal is considered, but also the difference in coherence between different vibration signals and the noise signal in different noise frequency bands is considered, frequency bands are divided, and the coherent vibration signal with high coherence with the noise signal is determined in each noise frequency band, so that the reference signal finally determined based on the coherent vibration signal is more accurate, effectively improving noise reduction effect of the noise reduction signal.
The foregoing example describes the solution of determining the reference signal based on the corresponding coherent vibration signals in each noise frequency band. In another example of the present disclosure, the reference signal can be determined through signal fusion. The example includes the following step:
performing signal fusion processing on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal.
In this example of the present disclosure, the fusion processing may be summation processing, the corresponding coherent vibration signals in each noise frequency band may be added, and a signal obtained through summation may be used as the reference signal of the noise signal.
In the method provided by this example of the present disclosure, the fusion processing may be performed on coherent vibration signals to obtain the reference signal, so that the reference signal takes into account the coherent vibration signals corresponding to each noise frequency band and is more accurate, thereby achieving better noise reduction effect.
In an example, as shown in FIG. 8, there can be a plurality of noise signal acquisition apparatus 30, arranged at different locations of the noise reduction object, so that a plurality of noise signals can be acquired. A plurality of noise frequency bands obtained after frequency band division include different noise frequency bands at different noise acquisition locations. The different noise acquisition locations can be four sitting locations in a vehicle: a main driver location, a co-driver location, a location behind the main driver, and a location behind the co-driver. In this case, noise reduction can be achieved for different noise acquisition locations of the noise reduction object. This example includes the following step:
determining a current noise acquisition location of the noise reduction object, and determining a plurality of noise frequency bands that match the current noise acquisition location.
In this example of the present disclosure, a plurality of noise frequency bands corresponding to each noise signal can be determined based on the noise signal acquired by the noise signal acquisition apparatus 30 at each noise acquisition location in the experiment process. When the noise reduction object drives, a current noise acquisition location of the noise signal acquisition apparatus 30 that is currently acquiring a noise signal can be determined, and a plurality of noise frequency bands that match each current noise acquisition location can be determined. Then, for each noise frequency band corresponding to each current noise acquisition location, the reference signal corresponding to the current noise acquisition location is determined through processes such as coherence analysis, coherent vibration signal determination, and coherent vibration signal fusion. Finally, a signal obtained after fusing reference signals corresponding to current noise acquisition locations can be used as the final reference signal, and the noise reduction signal can be outputted based on the reference signal. Alternatively, the noise reduction signal corresponding to each current noise acquisition location may be directly determined based on the reference signal corresponding to the current noise acquisition location, and each signal output apparatus 40 arranged in the current noise acquisition location outputs each noise reduction signal, to perform targeted noise reduction.
In a possible implementation of the method, the reference signal corresponding to each current noise acquisition location can also be confirmed in the experiment stage. When the noise reduction object drives, the reference signal corresponding to the current noise acquisition location can be directly determined, and the noise reduction signal is outputted based on the reference signal.
In the method provided by this example of the present disclosure, a plurality of noise signal acquisition apparatuses are arranged in the noise reduction object, the corresponding noise frequency band is determined for each current noise acquisition location, and when the noise reduction object drives, targeted noise reduction can be implemented based on the current noise acquisition location, which can improve noise reduction flexibility and achieve better noise reduction effect.
After the noise reduction object is manufactured, a vibration signal generated by itself is basically fixed. Therefore, experiment can be performed before the noise reduction object leaves the factory, to determine and store the noise reduction signal of the noise reduction object, and the pre-stored noise reduction signal can be directly obtained when the noise reduction object is used after leaving the factory. Specific description is provided in the following examples.
In an example, as shown in FIG. 9, a noise control method is provided. The method is explained by taking the method being applied to the noise control apparatus 10 in FIG. 1 as an example, and includes the following steps:

Step 401: Receive a noise signal of a noise reduction object and determine a plurality of noise frequency bands corresponding to the noise signal; where
the noise frequency band is a frequency band of a noise peak of the noise reduction object.

In this example of the present disclosure, when the noise reduction object travels, the current noise signal of the noise reduction object is acquired by the noise signal acquisition apparatus 30. Then, a power spectrum of the noise signal is calculated, and frequency bands of a plurality of noise peaks are determined based on the power spectrum, thereby obtaining a plurality of noise frequency bands.
In a possible implementation, the plurality of noise frequency bands include different noise frequency bands of the noise reduction object at different speeds. That is, during experiment, the noise reduction object is controlled to move at a constant speed of a plurality of speeds, and a noise signal is acquired for each speed. Then, a plurality of noise frequency bands corresponding to each noise signal are determined, to obtain different noise frequency bands of the noise reduction object at different speeds, and the different noise frequency bands are stored in the frequency band database. For example, noise frequency bands at speed v1 of the noise reduction object are A, B, C, D, and E, noise frequency bands at speed v2 are F, G, and H, and noise frequency bands at speed v3 are I, J, K, and L. When the noise reduction object is a vehicle, a plurality of speeds can be selected within the range of 40kph to 70kph for constant-speed driving experiment.
In a possible implementation, the plurality of noise frequency bands include a same noise frequency band of the noise reduction object at different speeds. That is, during experiment, the noise reduction object is controlled to move at variable speeds within a speed range, and a noise signal is acquired during the movement. Then, a plurality of noise frequency bands corresponding to the noise signal are determined, to obtain a same noise frequency band of the noise reduction object at different speeds, and the same noise frequency band is stored in the frequency band database. For example, the noise reduction object is controlled to move at variable speeds within a speed range v_min to v_max (which can be 40kph to 70kph), a noise signal is acquired during the variable-speed movement, and then a plurality of noise frequency bands corresponding to the noise signal are determined, that is, a same noise frequency band of the noise reduction object at different speeds is obtained.
In a possible implementation, the plurality of noise frequency bands include a same noise frequency band of the noise reduction object at a same speed. That is, during experiment, the noise reduction object is controlled to move at a constant speed and a noise signal is acquired. Then, a plurality of noise frequency bands corresponding to the noise signal are determined, to obtain a same noise frequency band of the noise reduction object at a same speed, and the same noise frequency band is stored in the frequency band database. For example, the noise reduction object is controlled to move at a constant speed v1, a noise signal is acquired during the constant-speed movement, and then a plurality of noise frequency bands corresponding to the noise signal are determined, that is, a same noise frequency band of the noise reduction object at a same speed is obtained.
Step 402: Determine, according to a noise reduction configuration parameter, a noise reduction signal corresponding to the plurality of noise frequency bands.
The noise reduction configuration parameter includes noise reduction signals corresponding to different noise frequency band combinations, and the noise frequency band combination includes a plurality of different noise frequency bands.
In this example of the present disclosure, the noise control apparatus 10 may first search for a target noise frequency band combination that matches the plurality of noise frequency bands from different noise frequency band combinations included in the noise reduction configuration parameter. For example, a noise frequency band combination that is the same as a plurality of noise frequency bands is found as the target noise frequency band combination, or a noise frequency band combination that differs from a plurality of noise frequency bands within a preset difference range is found as the target noise frequency band combination. Then, the noise reduction signal corresponding to the target noise frequency band combination in the noise reduction configuration parameter is determined as the noise reduction signal corresponding to a plurality of noise frequency bands.
In the method provided by this example of the present disclosure, a noise signal of a noise reduction object may be first received and a plurality of noise frequency bands corresponding to the noise signal are determined. Then, the noise reduction signal corresponding to a plurality of noise frequency bands is determined based on the pre-stored noise reduction configuration parameter obtained in the experiment stage, and finally the noise reduction signal is outputted. In this example of the present disclosure, frequency bands may be divided based on noise peaks and a plurality of noise frequency bands with higher noise energy are determined, so that the determined noise reduction signal corresponding to the plurality of noise frequency bands is more accurate and has better noise reduction effect. In addition, the noise reduction configuration parameter is determined through experiments before delivery, so that when the noise reduction object drives, the noise reduction signal can be quickly determined based on the noise reduction configuration parameter, to achieve noise reduction.
The foregoing example describes the solution of determining the noise reduction signal. In another example of the present disclosure, after the noise reduction signal is determined, the noise reduction signal can be outputted.
In this example of the present disclosure, after determining the noise reduction signal, the noise control apparatus 10 can output the noise reduction signal through the signal output apparatus 40.
In a possible implementation, after determining the noise reduction signal, the noise control apparatus 10 generates the control signal and sends the control signal to the signal output apparatus 40 to instruct the signal output apparatus 40 to output the noise reduction signal.
In an example, as shown in FIG. 10, a process of determining the noise reduction configuration parameter, that is, a process of testing the noise reduction object before delivery, is provided:
Step 501: Receive a noise signal and a plurality of vibration signals of a noise reduction object.
In this example of the present disclosure, the noise reduction object travels normally, and the noise signal of the noise reduction object is acquired by the noise signal acquisition apparatus 30, and the vibration signals of the noise reduction object are acquired by the vibration signal acquisition apparatus 20.
The following example will be described by taking the noise reduction object having 1 noise signal acquisition apparatus 30 and 4 vibration signal acquisition apparatuses 20 as an example. It should be noted that, 1 noise signal acquisition apparatus 30 acquires 1 noise signal of the noise reduction object. Since the noise reduction object has 3 vibration directions in a vibration process, the 4 vibration signal acquisition apparatuses 20 acquire 12 vibration signals.
Step 502: Perform noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object.
In this example of the present disclosure, the noise control apparatus 10 can first calculate a power spectrum of the noise signal, and then determine frequency bands of a plurality of noise peaks based on the power spectrum, thereby obtaining a plurality of noise frequency bands.
Then, the noise control apparatus 10 can cut each vibration signal according to a plurality of noise frequency bands, and cut out a part of the vibration signal that corresponds to the plurality of noise frequency bands. Since each of the noise frequency bands is a frequency band of a noise peak of the noise reduction object, the part of the vibration signal cut out is a part that is of the complete vibration signal and that mainly causes noise.
Finally, noise reduction analysis is performed based on the part of the vibration signal that is cut out and that mainly causes noise, to determine the noise reduction signal of the noise reduction object. For example, an opposite signal of the part of the vibration signal cut out is determined as the noise reduction signal of the noise reduction object.
Step 503: Determine the noise reduction configuration parameter according to the plurality of noise frequency bands and the noise reduction signal.
In this example of the present disclosure, a plurality of noise frequency bands are used as a noise frequency band combination, and the noise frequency band combination one-to-one corresponds to the determined noise reduction signal and the correspondence is stored, thereby obtaining the noise reduction configuration parameter. That is, the noise reduction configuration parameter is the correspondence between different noise frequency band combinations and the noise reduction signal.
In the method provided in this example of the present disclosure, after receiving the noise signal and the plurality of vibration signals of the noise reduction object, frequency bands can be divided based on noise peaks to determine the plurality of noise frequency bands with high noise energy, then noise reduction analysis is performed on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine some vibration signals that mainly cause noise, and the noise reduction signal of the noise reduction object is determined based on these vibration signals, so that the noise reduction signal determined based on the vibration signals with high coherence with the noise signal is more accurate and the noise reduction effect is better.
The foregoing example describes a solution of performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands to determine a noise reduction signal of the noise reduction object. In another example of the present disclosure, the noise reduction signal may be determined through coherence analysis. This example includes the steps shown in FIG. 4. The difference is that the above steps are performed in the experimental stage. For specific content, refer to the above example and details are not described again herein.
In an example, when the plurality of noise frequency bands include different noise frequency bands of the noise reduction object at different speeds, the noise reduction configuration parameter may include a correspondence between a speed and a noise reduction signal, and a correspondence between a noise frequency band combination and a noise reduction signal. In this case, the noise control method includes steps in FIG. 11:

Step 601: Determine a current speed of the noise reduction object.
Step 602: Determine, according to the noise reduction configuration parameter, a noise reduction signal corresponding to the current speed.
Step 603: Output the control signal. The control signal is used to instruct the noise reduction object to output the noise reduction signal.

In this example of the present disclosure, when a plurality of noise frequency bands corresponding to each of a plurality of speeds are determined in the experiment process, the noise reduction configuration parameter includes a correspondence between a speed and a noise reduction signal, and a correspondence between a noise frequency band combination and a noise reduction signal. Therefore, when the noise reduction object drives, the current speed of the noise reduction object can be obtained first. Then, a target speed that matches (the same as or different within a preset speed difference range) the current speed of the noise reduction object is found in the noise reduction configuration parameter, and a noise reduction signal corresponding to the target speed is determined as the noise reduction signal corresponding to the current speed. Finally, the control signal is outputted to instruct the signal output apparatus to output the noise reduction signal.
In the method provided by this example of the present disclosure, the noise frequency bands corresponding to each of different speeds are determined, and when the noise reduction object drives, noise frequency bands can be matched in real time based on the current speed, so that the outputted noise reduction signal better matches the noise signal generated by the noise reduction object at the current speed, which can improve noise reduction flexibility and achieve better noise reduction effect.
In an example, a noise control system is provided as shown in FIG. 1. The system includes a vibration signal acquisition apparatus 20, a noise signal acquisition apparatus 30, a signal output apparatus 40, and a noise control apparatus 10. The vibration signal acquisition device 20 is configured to acquire vibration signals of a noise reduction object and send the vibration signals to the noise control apparatus 10. The noise signal acquisition device 30 is configured to acquire a noise signal of the noise reduction object and send the noise signal to the noise control apparatus 10. The noise control apparatus 10 is configured to receive the vibration signal and the noise signal, so as to determine a reference signal based on the vibration signal and the noise signal, and output the noise reduction signal through the signal output apparatus 40 based on the reference signal.
In this example of the present disclosure, the noise reduction object travels normally, and the noise signal of the noise reduction object is acquired by the noise signal acquisition apparatus 30, and the vibration signals of the noise reduction object are acquired by the vibration signal acquisition apparatus 20. Then, the noise control apparatus 10 calculates a power spectrum of the noise signal, and determines frequency bands of a plurality of noise peaks based on the power spectrum, thereby obtaining a plurality of noise frequency bands. The plurality of noise frequency bands are stored in a frequency band database. Then, the noise control apparatus 10 may perform coherence analysis on the noise signal and the vibration signals, to determine a coherence analysis result of the noise signal and the vibration signals in each noise frequency band. Finally, a vibration signal with the highest coherence is determined as the coherent vibration signal of the noise signal in the noise frequency band, or a signal obtained after fusion processing of a plurality of vibration signals with relatively high coherence is determined as the coherent vibration signal of the noise signal in the noise frequency band.
A coherent vibration signal with the highest coherence with the noise signal can be selected from coherent vibration signals corresponding to noise frequency bands and determined as the reference signal of the noise signal for storage. Alternatively, a signal obtained after fusion of a plurality of coherent vibration signals can be determined as the reference signal of the noise signal for storage. The coherent vibration signal corresponding to each noise frequency band can also be directly determined as the reference signal of the noise signal for storage. In this case, the correspondence between the frequency band and the reference signal is stored.
The reference signal, as a signal with high coherence with the noise signal, is the main cause of noise. Therefore, the noise control apparatus 10 determines the opposite signal of the reference signal as the noise reduction signal and outputs the noise reduction signal through the signal output apparatus 40 to effectively offset the noise signal, to achieve noise reduction effect.
In a possible implementation, when the noise reduction object drives, the pre-stored reference signal can be directly obtained, and the opposite signal of the reference signal is outputted as the noise reduction signal. When the correspondence between the frequency band and the reference signal is stored, the frequency band of the current noise signal can be first analyzed, to determine the reference signal corresponding to the frequency band of the current noise signal, and then the opposite signal of the reference signal is outputted as the noise reduction signal.
In an example, as shown in FIG. 12, the noise reduction object may be a vehicle, the vibration signal acquisition apparatus 20 may be an acceleration sensor on the vehicle, the noise signal acquisition apparatus 30 may be a microphone on the vehicle, and the signal output apparatus 40 may be a speaker on the vehicle.
At least 4 vibration signal acquisition apparatuses 20 are provided, and are distributed on the suspension or cross beam near the wheel to improve the quality of the acquired vibration signal. One or more noise signal acquisition apparatuses 30 can be provided, and are mainly arranged near the vehicle seat to simulate the human ear and improve the quality of the acquired noise signal. One or more signal output apparatuses 40 can be provided, and can be arranged anywhere in the vehicle or near the noise signal acquisition apparatus 30 to achieve targeted noise reduction and improve noise reduction effect.
In the system provided by this example of the present disclosure, after receiving the noise signal and the plurality of vibration signals of the noise reduction object, the noise control apparatus can divide the frequency bands based on the noise peaks, to determine a plurality of noise frequency bands with higher noise energy, and then perform coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine the coherent vibration signal with high coherence with the noise signal in each noise frequency band. Then, the reference signal is determined based on the coherent vibration signal corresponding to each noise frequency band, and noise reduction is achieved based on the reference signal. In this example of the present disclosure, not only the high coherence between the reference signal and the noise signal is considered, but also the difference in coherence between different vibration signals and the noise signal in different noise frequency bands is considered, frequency bands are divided, and the coherent vibration signal with high coherence with the noise signal is determined in each noise frequency band, so that the reference signal finally determined based on the coherent vibration signal is more accurate, effectively improving noise reduction effect of the noise reduction signal.
It should be noted that, although the operations of the method in the present invention are described in the accompanying drawings in a specific sequence, this does not require or imply that such operations need to be performed according to the specific sequence, or all shown operations need to be performed to achieve an expected result. Instead, the steps depicted in a flowchart can be executed in a different order. Additionally or alternatively, some steps may be omitted, a plurality of steps may be combined into one step for execution, and/or one step may be decomposed into a plurality of steps for execution.
FIG. 13 is an exemplary structural block diagram of a noise control apparatus according to an example of the present disclosure.
In an example, the noise control apparatus includes: a receiving module 701, a determination module 702, and a generation module 703.
The receiving module 701 is configured to receive a noise signal and a plurality of vibration signals of a noise reduction object.
The determination module 702 is configured to perform noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; where the noise frequency band is a frequency band of a noise peak of the noise reduction object.
The generation module 703 is configured to generate a control signal according to the noise reduction signal, where the control signal is used to instruct the noise reduction object to output the noise reduction signal.
In an example, the determination module 702 is specifically configured to perform coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine a coherent vibration signal corresponding to the noise signal in each noise frequency band; determine a reference signal of the noise signal based on the coherent vibration signal corresponding to the noise signal in each noise frequency band; and determine the noise reduction signal based on the reference signal.
In an example, the determination module 702 is further configured to: for each noise frequency band, determine correlation coefficients between the noise signal and the plurality of vibration signals in the noise frequency band; and determine candidate vibration signals whose correlation coefficients satisfy a preset coherence condition, and determine a corresponding coherent vibration signal in the noise frequency band based on the candidate vibration signal.
In an example, the determination module 702 is further configured to calculate, for each vibration signal, the correlation coefficient between the noise signal and the vibration signal according to a cross power spectrum between the noise signal and the vibration signal, an autopower spectrum of the vibration signal, and an autopower spectrum of the noise signal.
In an example, the correlation coefficient between the noise signal and the vibration signal satisfies the following formula: $γ_{x_{j} y_{k}} {(f)}^{2} = \frac{{|S_{x_{j} y_{k}} (f)|}^{2}}{S_{x_{j} x_{j}} (f) S_{y_{k} y_{k}} (f)}$
where γ_xjyk (f) is the correlation coefficient between the noise signal and the vibration signal, S_xjyk (f) is the cross power spectrum between the noise signal and the vibration signal, S _{x j x j}(f) is the autopower spectrum of the vibration signal, S_ykyk (f) is the autopower spectrum of the noise signal, j is a j^th vibration signal, and k is a k^th noise signal.
In an example, the determination module 702 is further configured to: for each noise frequency band, sort the plurality of vibration signals according to the correlation coefficients, and determine candidate vibration signals according to a sorting result; and perform signal fusion processing on the candidate vibration signals to obtain the corresponding coherent vibration signal in the noise frequency band.
In an example, the determination module 702 is further configured to sort the plurality of vibration signals in descending order according to the correlation coefficients, and determine the first n vibration signals as candidate vibration signals.
In an example, the determination module 702 is further configured to perform a summation operation on the plurality of candidate vibration signals to obtain the corresponding coherent vibration signal in the noise frequency band.
In an example, the determination module 702 is further configured to perform signal fusion processing on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal.
In an example, the determination module 702 is further configured to perform a summation operation on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal.
In an example, the plurality of noise frequency bands include different noise frequency bands at different noise acquisition locations.
In an example, the noise control apparatus further includes a noise acquisition location determination module 704, configured to determine a current noise acquisition location of the noise reduction object, and determine a plurality of noise frequency bands that match the current noise acquisition location.
It should be understood that the units or modules recorded in the apparatus correspond to various steps in the method described with reference to FIG. 2. Therefore, the operations and features described above for the method are also applicable to the apparatus and the units included therein, and details are not described again herein. The apparatus can be pre-implemented in a browser or other security applications of an electronic device, or can be loaded into the browser or security applications of the electronic device through downloading or other methods. Corresponding units in the apparatus can cooperate with units in the electronic device to implement the solutions of the examples of the present disclosure.
FIG. 14 is a schematic structural diagram of a computer system 800 configured to implement a terminal device or a server according to an example of the present disclosure.
As shown in FIG. 14, the computer system 800 includes a central processing unit (CPU) 801, which can perform various appropriate actions and processing according to a program stored in a read-only memory (ROM) 802 or a program loaded into a random access memory (RAM) 803 from a storage part 808. The RAM 803 further stores various programs and data required for operations of the system 800. The CPU 801, the ROM 802, and the RAM 803 are connected to each other through a bus 804. An input/output (I/O) interface 805 is also connected to the bus 804.
The following components are connected to an I/O interface 805: an input part 806 including a keyboard, a mouse, and the like; an output part 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), a speaker, and the like; the storage part 808 including a hard disk and the like; and a communication part 809 including a network interface card, for example, an LAN cards and modems. The communication part 809 performs communication processing by using a network such as the Internet. A driver 810 is also connected to the I/O interface 805 as required. A removable medium 811, such as a magnetic disk, an optical disc, a magneto-optical disk, or a semiconductor memory, is installed on the drive 810 as required, so that a computer program read from the removable medium is installed into the storage part 808 as required.
Particularly, according to an example of the present disclosure, the processes described above by referring to FIG. 2 may be implemented as computer software programs. For example, this example of the present disclosure includes a computer program product, the computer program product includes a computer program visibly included in a machine-readable medium, and the computer program includes program code used for performing the method shown in FIG. 2. In such an example, the computer program may be downloaded and installed from a network through the communication part 809, and/or installed from the removable medium 811.
The flowcharts and block diagrams in the accompanying drawings illustrate possible system architectures, functions and operations that may be implemented by a system, a method, and a computer program product according to various examples of the present invention. In this regard, each box in a flowchart or a block diagram may represent a module, a program segment, or a part of code. The module, the program segment, or the part of code includes one or more executable instructions used for implementing designated logic functions. In some implementations used as substitutes, functions annotated in boxes may alternatively occur in a sequence different from that annotated in an accompanying drawing. For example, actually two boxes shown in succession may be performed basically in parallel, and sometimes the two boxes may be performed in a reverse sequence. This is determined by a related function. It should also be noted that, each box in a block diagram and/or a flowchart and a combination of boxes in the block diagram and/or the flowchart may be implemented by using a dedicated hardware-based system configured to perform a specified function or operation, or may be implemented by using a combination of dedicated hardware and a computer instruction.
The units or modules described in the examples of the present disclosure may be implemented by means of software or hardware. The described units or modules may also be provided in the processor. Names of the units or modules do not constitute a limitation on the units or modules in a specific case.
According to another aspect, the present disclosure further provides a computer-readable storage medium. The computer-readable storage medium may be included in the computer device described in the foregoing examples, or may exist alone and is not disposed in the computer device. The computer-readable storage medium stores one or more programs, and when the programs are used by one or more processors to execute the method described in the present disclosure, for example, various steps of the method shown in FIG. 2 can be performed.
An example of the present disclosure provides a computer program product including an instruction, and the instruction, when running, causes the method in the examples of the present disclosure to be performed. for example, various steps of the method shown in FIG. 2 can be performed.
A person of ordinary skill in the art may understand that all or some of procedures of the method in the foregoing examples may be implemented by a computer program instructing relevant hardware. The computer program may be stored in a non-volatile computer-readable storage medium. When the computer program is executed, the procedures of the foregoing method examples may be implemented. References to the memory, the database, or other medium used in the examples provided in the present disclosure may all include at least one of a non-volatile or a volatile memory. The non-volatile memory can include a read-only memory (Read-Only Memory, ROM), a magnetic tape, a floppy disk, a flash memory, an optical memory, a high-density embedded non-volatile memory, a resistive random access memory (ReRAM), a magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), a ferroelectric random access memory (Ferroelectric Random Access Memory, FRAM), a phase change memory (Phase Change Memory, PCM), a graphene memory, or the like. The volatile memory may be a random access memory (Random Access Memory, RAM) or an external cache. As an illustration and not a limitation, the RAM can be in various forms, such as a static random access memory (Static Random Access Memory, SRAM) or a dynamic random access memory (Dynamic Random Access Memory, DRAM). The database involved in the various examples provided in the present disclosure may include at least one of a relational database and a non-relational database. The non-relational database may include a blockchain-based distributed database or the like, but is not limited thereto. The processors involved in the various examples provided by the present disclosure can be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, data processing logic devices based on quantum computing, and are not limited thereto.
The above description is only an optional example of the present disclosure and an explanation of the technical principles used. Persons skilled in the art should understand that the scope of the invention involved in the present disclosure is not limited to technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or equivalent features thereof without departing from the concept of the present invention, for example, technical solutions formed by exchanging the above features with technical features with similar functions disclosed (but not limited to) in the present disclosure.

Claims

A noise control method, comprising:
receiving a noise signal and a plurality of vibration signals of a noise reduction object;

performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; wherein the noise frequency band is a frequency band of a noise peak of the noise reduction object; and

generating a control signal according to the noise reduction signal, wherein the control signal is used to instruct the noise reduction object to output the noise reduction signal.
The method according to claim 1, wherein performing noise reduction analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine the noise reduction signal of the noise reduction object comprises:
performing coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine a coherent vibration signal corresponding to the noise signal in each noise frequency band;

determining a reference signal of the noise signal based on the coherent vibration signal corresponding to the noise signal in each noise frequency band; and

determining the noise reduction signal based on the reference signal.
The method according to claim 1, wherein the plurality of noise frequency bands comprise different noise frequency bands of the noise reduction object at different speeds, or the plurality of noise frequency bands comprise a same noise frequency band of the noise reduction object at different speeds, or the plurality of noise frequency bands comprise a same noise frequency band of the noise reduction object at a same speed,
preferably further comprising:
determining a current speed of the noise reduction object, and determining a plurality of noise frequency bands that match the current speed.
The method according to claim 2, wherein performing coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine the coherent vibration signal corresponding to the noise signal in each noise frequency band comprises:
for each noise frequency band, determining correlation coefficients between the noise signal and the plurality of vibration signals in the noise frequency band; and

determining candidate vibration signals whose correlation coefficients satisfy a preset coherence condition, and determining a corresponding coherent vibration signal in the noise frequency band based on the candidate vibration signals,

preferably wherein determining the correlation coefficients between the noise signal and the plurality of vibration signals in the noise frequency band comprises:
calculating, for each vibration signal, the correlation coefficient between the noise signal and the vibration signal according to a cross power spectrum between the noise signal and the vibration signal, an autopower spectrum of the vibration signal, and an autopower spectrum of the noise signal,

more preferably wherein the correlation coefficient between the noise signal and the vibration signal satisfies the following formula: $γ_{x_{j} y_{k}} {(f)}^{2} = \frac{{|s_{x_{j} y_{k}} (f)|}^{2}}{s_{x_{j} x_{j}} (f) s_{y_{k} y_{k}} (f)}$

wherein γ_xjyk (f) is the correlation coefficient between the noise signal and the vibration signal, S_xjyk (f) is the cross power spectrum between the noise signal and the vibration signal, S _{x j x j}(f) is the autopower spectrum of the vibration signal, S_ykyk (f) is the autopower spectrum of the noise signal, j is a j^th vibration signal, and k is a k^th noise signal.
The method according to claim 4, wherein determining the candidate vibration signals whose correlation coefficients satisfy the preset coherence condition, and determining a corresponding coherent vibration signal in the noise frequency band based on the candidate vibration signal comprises:
for each noise frequency band, sorting the plurality of vibration signals according to the correlation coefficients, and determining candidate vibration signals according to a sorting result; and

performing signal fusion processing on the candidate vibration signals to obtain the corresponding coherent vibration signal in the noise frequency band,
preferably wherein the sorting the plurality of vibration signals according to the correlation coefficients, and determining candidate vibration signals according to a sorting result comprises:

sorting the plurality of vibration signals in descending order according to the correlation coefficients, and determining the first n vibration signals as candidate vibration signals;

or wherein the performing fusion processing on the plurality of candidate vibration signals to obtain the corresponding coherent vibration signal in the noise frequency band comprises:
performing a summation operation on the plurality of candidate vibration signals to obtain the corresponding coherent vibration signal in the noise frequency band.
The method according to claim 2, wherein determining the reference signal of the noise signal based on the coherent vibration signal corresponding to the noise signal in each noise frequency band comprises:
performing signal fusion processing on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal,
preferably wherein performing signal fusion processing on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal comprises:

performing a summation operation on the corresponding coherent vibration signal in each noise frequency band to obtain the reference signal of the noise signal.
The method according to any one of claims 1 to 6, wherein the plurality of noise frequency bands comprise different noise frequency bands at different noise acquisition locations,
preferably further comprising:
determining a current noise acquisition location of the noise reduction object, and determining a plurality of noise frequency bands that match the current noise acquisition location.
A noise control method, comprising:
receiving a noise signal of a noise reduction object and determining a plurality of noise frequency bands corresponding to the noise signal; wherein the noise frequency band is a frequency band of a noise peak of the noise reduction object; and

determining, according to a noise reduction configuration parameter, a noise reduction signal corresponding to the plurality of noise frequency bands; wherein the noise reduction configuration parameter comprises noise reduction signals corresponding to different noise frequency band combinations; and the noise frequency band combination comprises a plurality of different noise frequency bands,

preferably further comprising: outputting the noise reduction signal,

more preferably wherein the outputting the noise reduction signal comprises:
outputting a control signal; wherein the control signal is used to instruct the noise reduction object to output the noise reduction signal.
The method according to claim 8, wherein the determining, according to a noise reduction configuration parameter, a noise reduction signal corresponding to the plurality of noise frequency bands comprises:
searching for a target noise frequency band combination that matches the plurality of noise frequency bands from different noise frequency band combinations comprised in the noise reduction configuration parameter; and

determining a noise reduction signal corresponding to the target noise frequency band combination as the noise reduction signal corresponding to the plurality of noise frequency bands;

or wherein a process of determining the noise reduction configuration parameter comprises:
receiving a noise signal and a plurality of vibration signals of the noise reduction object;

performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; and

determining the noise reduction configuration parameter according to the plurality of noise frequency bands and the noise reduction signal, preferably wherein the performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object comprises:
performing coherence analysis on the noise signal and the plurality of vibration signals based on the plurality of noise frequency bands, to determine a coherent vibration signal corresponding to the noise signal in each noise frequency band;

determining a reference signal of the noise signal based on the coherent vibration signal corresponding to the noise signal in each noise frequency band; and

determining the noise reduction signal based on the reference signal of the noise signal.
The method according to claim 8, wherein the plurality of noise frequency bands comprise different noise frequency bands of the noise reduction object at different speeds, or the plurality of noise frequency bands comprise a same noise frequency band of the noise reduction object at different speeds, or the plurality of noise frequency bands comprise a same noise frequency band of the noise reduction object at a same speed,
preferably wherein the noise reduction configuration parameter comprises a correspondence between a speed and a noise reduction signal, and a correspondence between a noise frequency band combination and a noise reduction signal,

more preferably further comprising:
determining a current speed of the noise reduction object;

determining, according to the noise reduction configuration parameter, a noise reduction signal corresponding to the current speed; and

outputting a control signal; wherein the control signal is used to instruct the noise reduction object to output the noise reduction signal.
A noise control apparatus, comprising:
a receiving module, configured to receive a noise signal and a plurality of vibration signals of a noise reduction object;

a determination module, configured to perform noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; wherein the noise frequency band is a frequency band of a noise peak of the noise reduction object; and

a generation module, configured to generate a control signal according to the noise reduction signal, wherein the control signal is used to instruct the noise reduction object to output the noise reduction signal.
A noise control system, comprising: a vibration signal acquisition apparatus, a noise signal acquisition apparatus, a signal output apparatus, and the noise control apparatus according to claim 11, wherein
the vibration signal acquisition device is configured to acquire vibration signals of a noise reduction object and send the vibration signals to the noise control apparatus;

the noise signal acquisition device is configured to acquire a noise signal of the noise reduction object and send the noise signal to the noise control apparatus; and

the noise control apparatus is configured to receive the vibration signals and the noise signal, to perform noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object, and output the noise reduction signal through the signal output apparatus; and the noise frequency band is a frequency band of a noise peak of the noise reduction object,

preferably wherein the noise reduction object is a vehicle, the vibration signal acquisition apparatus is an acceleration sensor on the vehicle, the noise signal acquisition apparatus is a microphone on the vehicle, and the signal output apparatus is a speaker on the vehicle.
An electronic device, comprising: a memory and a processor, the memory storing a computer program; and when the processor executes the computer program, steps of the method according to any one of claims 1 to 7 being implemented.
A computer-readable storage medium, storing a computer program, when a processor executes the computer program, steps of the method according to any one of claims 1 to 7 being implemented.
A computer program product, comprising a computer program, when a processor executes the computer program, steps of the method according to any one of claims 1 to 7 being implemented.