In-vehicle noise positioning method and system, control equipment and vehicle

Abstract

The invention discloses an in-vehicle noise positioning method and system, control equipment and a vehicle, and the method comprises the steps: collecting the in-vehicle noise in a driving cabin, carrying out the feature extraction of the in-vehicle noise, determining the target noise feature corresponding to the in-vehicle noise, employing a positioning strategy corresponding to the target noise feature, and carrying out the positioning of the in-vehicle noise. And positioning the in-vehicle noise, determining the noise source position corresponding to the in-vehicle noise, and accurately completing the noise source positioning of the in-vehicle noise based on different positioning strategies. Besides, the vehicle-mounted microphone array assembled in the driving cabin can be used for collecting the noise in the vehicle to complete positioning of the noise, a new noise collecting means does not need to be designed, professional maintenance and analysis of the vehicle are not needed, and the vehicle can complete positioning of the noise.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a method, system, control device and vehicle for locating noise in a vehicle. Background Art

[0002] With technological advancements, cars have become more intelligent, becoming increasingly sensitive to external sounds. However, these technologies haven't addressed the sounds generated by the vehicle itself, particularly unusual noises such as squeaks, wind noise, and road noise. When a vehicle produces these unusual noises, consumers lack the ability to discern the sound and are unable to understand its source. Therefore, repair shops are often unable to address some very unusual sounds, forcing the OEM to intervene. This can be time-consuming and costly, negatively impacting the vehicle brand.

[0003] Therefore, how to improve in-vehicle sound recognition to enhance automatic positioning of the vehicle's own noise sources has become an urgent problem to be solved. Summary of the Invention

[0004] Embodiments of the present invention provide a method, system, control device, and vehicle for locating in-vehicle noise, to solve the problem of how to improve in-vehicle sound recognition to enhance automatic locating of the vehicle's own noise sources.

[0005] In a first aspect, the present invention provides a method for locating noise in a vehicle, comprising: Collect the interior noise in the driving compartment; Extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle; The positioning strategy corresponding to the target noise feature is adopted to locate the interior noise and determine the position of the noise source corresponding to the interior noise.

[0006] In one embodiment, extracting features of the interior noise of the vehicle and determining target noise features corresponding to the interior noise of the vehicle includes: Performing spectrum analysis on the interior noise of the vehicle to obtain order noise characteristics; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: Based on the order noise characteristics and a preset order noise mapping table, a component generating the order noise characteristics is determined as a noise source position corresponding to the interior vehicle noise.

[0007] The order noise angles are compared for the order noise, so as to quickly and accurately determine the corresponding noise component and thus the location of the noise source.

[0008] In one embodiment, extracting features of the interior noise of the vehicle and determining target noise features corresponding to the interior noise of the vehicle includes: Performing a frequency spectrum analysis on the interior noise of the vehicle to obtain a resonance noise characteristic; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: Based on the resonance noise characteristics and a preset resonance noise mapping table, a component generating the resonance noise characteristics is determined as a noise source position corresponding to the interior vehicle noise.

[0009] The resonance noise frequency is compared for the resonance noise, so as to quickly and accurately determine the corresponding noise component and thus determine the location of the noise source.

[0010] In one embodiment, the in-vehicle noise includes first original noise collected by at least three microphones; The extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle includes: Performing a time domain analysis on each first original noise to obtain a noise peak feature corresponding to the first original noise, and determining a first data position where the noise peak feature appears in each first original noise; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: The noise source position corresponding to the in-vehicle noise is determined according to a first data position where the noise peak feature appears in each first original noise and an installation position of each microphone in the driving compartment.

[0011] Among them, the vehicle-mounted microphone array is required to include at least three microphones, that is, microphones installed at at least three positions, so that there are at least three positions. According to the data position of the noise data in the entire vehicle, time difference and beamforming calculations are performed to accurately obtain the noise source position of the noise data.

[0012] In one embodiment, performing time domain analysis on each first original noise to obtain a noise peak feature corresponding to the first original noise, and determining a first data position where the noise peak feature appears in each first original noise includes: For any first original noise, performing time domain data analysis on the first original noise to obtain a time sound pressure level relationship curve; The time-sound pressure relationship curve is compared with a preset relationship curve without noise to obtain a peak value corresponding to a noise peak feature of the first original noise, and the position of the peak value is determined to correspond to the first data position in the first original noise.

[0013] Among them, the time-sound pressure level relationship curve analysis method is adopted, and then compared with the preset noise-free curve to determine the location of the peak, that is, to find the noise data and the data location of the noise data in the vehicle noise, so as to quickly and accurately realize the recognition of noise data and the determination of data location.

[0014] In one embodiment, the in-vehicle noise includes second original noise collected by at least three microphones; The extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle includes: Performing voiceprint extraction on each second original noise to obtain a friction noise voiceprint feature corresponding to the second original noise; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: For any second original noise, comparing the friction noise voiceprint feature of the second original noise with the voiceprint in a preset noise database to obtain a comparison result; determining, based on the comparison result, a second data position where the friction noise voiceprint feature appears in the second original noise; The noise source position corresponding to the in-vehicle noise is determined according to the second data position where the friction noise soundprint feature appears in each second original noise and the installation position of each microphone in the driver's cabin.

[0015] Among them, the noise inside the car is compared with the soundprints in the preset noise database to analyze the noise generated by friction, such as the sound of metal friction, rubber friction, etc., and the noise source is located by combining the principles of time difference and beamforming to improve the applicability of noise analysis.

[0016] In one embodiment, extracting features of the interior noise of the vehicle and determining target noise features corresponding to the interior noise of the vehicle includes: generating a noise spectrum diagram according to the in-vehicle noise; Performing graphic recognition on the noise spectrum to obtain target noise features.

[0017] Among them, a spectrum diagram of the noise inside the vehicle is constructed, and an image analysis is performed on the spectrum diagram to determine the order noise and / or resonance noise, etc., and to determine the angle of the order noise and the frequency of the resonance noise, so that a table lookup output can be performed with the subsequent mapping relationship table to accurately obtain the component that generates the noise.

[0018] In one embodiment, before collecting the vehicle interior noise in the driving compartment, the method further includes: Control the car's speakers to stop amplification.

[0019] Among them, by controlling the power amplifier of the in-car speaker, the accuracy of the collected in-car noise in the driving compartment can be improved and the influence of other abnormal noises can be avoided.

[0020] In a second aspect, the present invention provides a vehicle interior noise localization system, comprising: Noise collection module, used to collect the noise inside the driving compartment; a noise recognition module, configured to extract features of the interior noise of the vehicle and determine target noise features corresponding to the interior noise of the vehicle; The noise positioning module is used to locate the vehicle interior noise by adopting a positioning strategy corresponding to the target noise feature, and determine the position of the noise source corresponding to the vehicle interior noise.

[0021] In a third aspect, the present application provides a control device, comprising a processor and a memory, wherein the memory is used to store a computer program; The processor is configured to execute the program stored in the memory to implement the in-vehicle noise localization method as described in the first aspect.

[0022] In a fourth aspect, the present application provides a vehicle comprising the control device as described in the third aspect above.

[0023] Compared to the existing technology, the present invention achieves the following technical advantages: the present invention collects interior noise from the passenger compartment, extracts features from the interior noise, determines target noise features corresponding to the interior noise, and employs a positioning strategy corresponding to the target noise features to locate the interior noise and determine the location of the noise source corresponding to the interior noise. Based on different positioning strategies, the noise source of the interior noise can be accurately located. Furthermore, the noise can be located by using the onboard microphone array already installed in the passenger compartment to collect the interior noise. This eliminates the need for designing new noise collection methods or requiring professional vehicle maintenance and analysis; the vehicle itself can perform noise location. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0025] Figure 1 1 is a flow chart of a method for locating in-vehicle noise according to a first embodiment of the present invention; Figure 2 1 is a schematic diagram of a frequency spectrum of order noise provided by the first embodiment of the present invention; Figure 3 1 is a schematic diagram of a spectrum of resonance noise provided by the first embodiment of the present invention; Figure 4 1 is a flow chart of a method for locating in-vehicle noise according to a second embodiment of the present invention; Figure 5 This is a schematic diagram of time domain data of vehicle interior noise provided by the second embodiment of the present invention; Figure 6 1 is a flow chart of a method for locating in-vehicle noise according to a third embodiment of the present invention; Figure 7 1 is a schematic diagram of the structure of a vehicle interior noise localization system provided by a fourth embodiment of the present invention; Figure 8 It is a structural schematic diagram of a control device provided by the present invention. DETAILED DESCRIPTION

[0026] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0027] The microphones in vehicles recognize and locate sounds specifically for human voices, specifically the voices of people inside the vehicle. The frequency range of voice signals is primarily between 300Hz and 3400Hz, while the noise inside a car covers the range of 20Hz-20kHz. Therefore, there is currently no real-time recognition and location function for the noise generated by the vehicle's operation using the microphones in the vehicle.

[0028] like Figure 1As shown, a flow chart of a method for locating in-vehicle noise is provided as a first embodiment of the present invention. The method for locating in-vehicle noise is applied to a vehicle, and the vehicle is provided with an on-board microphone array. In some embodiments, one or two microphones may be included, while in other embodiments, three or more microphones are required. The on-board microphone is used to collect audio data in the vehicle, for example, to collect the user's interactive voice, etc., so as to realize voice control of the vehicle. The use of the on-board microphone can avoid the installation of a new microphone, and can also perform noise positioning and identification without placing the vehicle in a special detection device, so that the vehicle itself has the function of noise detection, thereby improving vehicle efficiency and user experience. The noise can be located by collecting the noise in the vehicle using the on-board microphone array installed in the driver's compartment. There is no need to design a new noise collection method, and there is no need for the vehicle to undergo professional maintenance and analysis. The vehicle itself can complete the noise positioning.

[0029] Of course, a non-vehicle microphone can be used to collect the noise inside the vehicle, and a control device inside or outside the vehicle can be used to execute the method steps of the present invention to locate the noise source.

[0030] like Figure 1 As shown, the method for locating noise in a vehicle may include the following steps: Step S101: collecting the interior noise of the vehicle in the driving compartment.

[0031] The device for collecting in-vehicle noise can be an on-board microphone array, which is a microphone array installed in the vehicle's passenger compartment and includes at least one microphone. In the following second and third embodiments, at least three microphones are required. Of course, the device for collecting in-vehicle noise can also be an off-board device.

[0032] By controlling the operation of the vehicle-mounted microphone array, the sound data in the cockpit can be collected, and the sound data is treated as the noise in the vehicle for subsequent processing.

[0033] In one embodiment, before collecting the vehicle interior noise in the driving compartment, the method further includes: Control the car's speakers to stop amplification.

[0034] Among them, since there are sound-playing devices such as speakers in the car, any sound they generate will be collected by the speakers and included in the car's interior noise, which may have a negative impact on the subsequent identification of the interior noise. By controlling the power amplifier of the interior speakers, the accuracy of the collected interior noise in the driver's compartment can be improved and the influence of other abnormal noises can be avoided. Of course, in actual use, the driver or passengers need to remain quiet when in the car to avoid noise that may affect the interior noise positioning.

[0035] The above-mentioned vehicle-mounted microphone array installed in the vehicle can still realize sound collection and analysis while the vehicle is driving, without placing the vehicle in special testing equipment, thereby further improving the authenticity and accuracy of the detection.

[0036] Step S102 : extracting features of the interior noise of the vehicle and determining target noise features corresponding to the interior noise of the vehicle.

[0037] Among them, different identification methods can be used to identify the noise inside the car, for example, frequency domain analysis, time domain analysis, spectrum analysis, peak analysis, voiceprint analysis, etc., so as to determine at least one noise data and the noise category of each noise data in the noise inside the car.

[0038] Noise categories are used to characterize noise caused by different reasons, such as order noise and modal resonance noise, which can be generated by the movement of the engine, electric drive and drive shaft, as well as by pipeline vibration; for example, impact noise, which is the primary noise generated by components due to stress deformation; and continuous friction noise, which is the friction between metal and metal, metal and rubber, rubber and rubber, etc.

[0039] Step S103 : Using a positioning strategy corresponding to the target noise feature, the vehicle interior noise is positioned to determine a noise source position corresponding to the vehicle interior noise.

[0040] Among them, the positioning strategy corresponds to the target noise characteristics. Different target noise characteristics can match different positioning strategies. For example, for order noise or modal resonance noise, the positioning strategy can be achieved by analyzing the order characteristics of the order noise or the vibration frequency of the resonance noise. Since the characteristics of the noise generated by the corresponding components are fixed, the component generating the noise can be determined by comparing the numerical values, and the component can be used as the location of the noise source; for friction noise, the positioning strategy can be achieved by analyzing the soundprint characteristics and locating the noise source through the principle of sound propagation.

[0041] The principle of sound propagation can be to use multiple microphones to collect the time difference of noise, and combine the position of the microphones to analyze and obtain the location of the noise source.

[0042] In one embodiment, extracting features of the interior noise of the vehicle and determining target noise features corresponding to the interior noise of the vehicle includes: Performing spectrum analysis on the interior noise of the vehicle to obtain order noise characteristics; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: Based on the order noise characteristics and a preset order noise mapping table, a component generating the order noise characteristics is determined as a noise source position corresponding to the interior vehicle noise.

[0043] The order noise angles are compared for the order noise, so as to quickly and accurately determine the corresponding noise component and thus the location of the noise source.

[0044] like Figure 2 The figure shows a spectrum diagram of order noise. In the order noise, the angle or slope of the order noise can characterize different order noises. Different order noises correspond to different noise sources. The mapping relationship between the preset angles and the noise sources is shown in Table 1 below: Table 1 By comparing the angles in Table 1 above, the noise source can be determined.

[0045] In one embodiment, extracting features of the interior noise of the vehicle and determining target noise features corresponding to the interior noise of the vehicle includes: Performing a frequency spectrum analysis on the interior noise of the vehicle to obtain a resonance noise characteristic; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: Based on the resonance noise characteristics and a preset resonance noise mapping table, a component generating the resonance noise characteristics is determined as a noise source position corresponding to the interior vehicle noise.

[0046] The resonance noise frequency is compared for the resonance noise, so as to quickly and accurately determine the corresponding noise component and thus determine the location of the noise source.

[0047] The resonance noise frequency is compared for the resonance noise, so as to quickly and accurately determine the corresponding noise component and thus determine the location of the noise source.

[0048] like Figure 3 The figure shows a spectrum diagram of resonance noise. In the resonance noise, the frequency of the resonance noise can represent different resonance noises. Different resonance noises correspond to different noise sources. The mapping relationship between preset angles and noise sources is shown in Table 2 below: Table 2 By comparing the frequencies in Table 2 above, the noise source can be determined.

[0049] In one embodiment, extracting features of the interior noise of the vehicle and determining target noise features corresponding to the interior noise of the vehicle includes: generating a noise spectrum diagram according to the in-vehicle noise; Performing graphic recognition on the noise spectrum to obtain target noise features.

[0050] Among them, the spectrum of the car noise is constructed and the spectrum is analyzed to determine the order noise and / or resonance noise, etc., and the angle of the order noise and the frequency of the resonance noise are determined, so that the subsequent mapping relationship table can be looked up and output to obtain the component that accurately generates the noise. Figure 2 and Figure 3 As shown, by performing graphic recognition of the noise spectrum, the oblique line or straight line can be determined. The angle of the oblique line and the frequency corresponding to the straight line can respectively represent the corresponding order noise and resonance noise.

[0051] Embodiments of the present invention collect interior noise from the passenger compartment, extract features from the noise, determine target noise features corresponding to the noise, and employ a positioning strategy corresponding to the target noise features to locate the noise and determine the location of the noise source corresponding to the noise. Based on different positioning strategies, the noise source of the noise can be accurately located. Furthermore, the noise can be located by using an onboard microphone array already installed in the passenger compartment to collect the noise. This eliminates the need for designing new noise collection methods or requiring specialized vehicle maintenance and analysis; the vehicle itself can perform noise location.

[0052] like Figure 4 FIG. 1 is a flow chart of a method for locating in-vehicle noise according to a second embodiment of the present invention. In this case, the in-vehicle microphone array is required to include at least three microphones, and the installation position of each microphone in the vehicle is known. The feature extraction of the in-vehicle noise in step S102 to determine the target noise feature corresponding to the in-vehicle noise may include the following steps: Step S401 : performing time domain analysis on each first original noise to obtain a noise peak feature corresponding to the first original noise, and determining a first data position where the noise peak feature appears in each first original noise.

[0053] Among them, if there is no order noise and resonance noise, it is necessary to analyze whether there is noise generated by instantaneous excitation such as impact in the vehicle noise. Of course, without judging the order noise and resonance noise, the noise generated by instantaneous excitation can also be analyzed.

[0054] Perform time domain data analysis on the in-vehicle noise and find abnormal peaks from the time domain data analysis results to determine that it is impact noise. The data position of this peak in each original noise is the first data position in the corresponding original noise.

[0055] In one embodiment, performing time domain analysis on each first original noise to obtain a noise peak feature corresponding to the first original noise, and determining a first data position where the noise peak feature appears in each first original noise includes: For any first original noise, performing time domain data analysis on the first original noise to obtain a time sound pressure level relationship curve; The time-sound pressure relationship curve is compared with a preset relationship curve without noise to obtain a peak value corresponding to a noise peak feature of the first original noise, and the position of the peak value is determined to correspond to the first data position in the first original noise.

[0056] Among them, the time-sound pressure level relationship curve analysis method is adopted, and then compared with the preset noise-free curve to determine the location of the peak, that is, to find the noise data and the data location of the noise data in the vehicle noise, so as to quickly and accurately realize the recognition of noise data and the determination of data location.

[0057] like Figure 5 As shown in the figure, a time-sound pressure level relationship curve obtained by performing time domain data analysis on the vehicle interior noise provided by the present invention is shown. In this curve, by comparing the signal data without this noise, the system automatically marks the peak values ​​of the noise signal, namely Signal 1 and Signal 2, and Signal 2 is closer to the noise source.

[0058] The above-mentioned step S103 of using the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise may include the following steps: Step S402 : determining a noise source position corresponding to the interior noise according to a first data position where the noise peak feature appears in each first original noise and an installation position of each microphone in the driver's cabin.

[0059] Among them, the installation position of the microphone in the vehicle's driver's compartment is known, and the above-mentioned in-vehicle noise is the sound information collected by each microphone. Therefore, for each microphone, the first data position generated represents the time when the noise data is collected. When there is an array of three or more microphones, the exact location where the noise is generated can be determined by using a time difference-based method.

[0060] The embodiment of the present invention requires that the vehicle-mounted microphone array in the vehicle include at least three microphones, that is, microphones installed at at least three positions, so that there are at least three positions. According to the data position of the noise data in the entire vehicle, time difference and beamforming calculations are performed to accurately obtain the noise source position of the noise data.

[0061] like Figure 6FIG. 1 is a flow chart of a method for locating interior noise of a vehicle according to a third embodiment of the present invention. In step S102, feature extraction of the interior noise of the vehicle is performed to determine target noise features corresponding to the interior noise of the vehicle. The following steps may also be included: Step S601: extracting voiceprints from each second original noise to obtain friction noise voiceprint features corresponding to the second original noise.

[0062] Among them, for continuous noise signals, including but not limited to friction noise such as metal friction and rubber friction, it is necessary to extract the voiceprint, so as to use the voiceprint of the corresponding noise signal pre-stored in the noise database to compare the voiceprint of the noise inside the car, so as to determine the specific type of friction and realize the analysis of the noise inside the car.

[0063] The above-mentioned step S103 of using the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise may include the following steps: Step S602: for any second original noise, compare the friction noise voiceprint feature of the second original noise with the voiceprint in a preset noise database to obtain a comparison result, and determine the second data position where the friction noise voiceprint feature appears in the second original noise based on the comparison result.

[0064] The comparison result characterizes the voiceprint type corresponding to the friction noise voiceprint feature, so that the second data position where the corresponding friction noise voiceprint feature appears in the second original noise can be determined based on the comparison result.

[0065] Among them, according to the comparison results, the noise inside the vehicle (i.e. the corresponding original noise) is filtered. Different filtering methods are used for different specific friction types to obtain accurate noise data, and then the accurate data location can be determined.

[0066] Similar to the content in the above-mentioned embodiment 2, each microphone is analyzed independently during analysis to determine the second data position corresponding to the noise data in each microphone, so as to subsequently calculate the noise source position using the time difference.

[0067] Step S603 , determining the noise source position corresponding to the interior noise according to the second data position where the friction noise soundprint feature appears in each second original noise and the installation position of each microphone in the driver's cabin.

[0068] The calculation method is the same as that of the above step S402, with the only difference being the data position, which will not be described again here.

[0069] In the absence of order noise, resonance noise, and impact noise, the embodiments of the present invention compare the in-vehicle noise with the soundprints in a preset noise database to analyze the noise generated by friction, such as the sound of metal friction, rubber friction, etc., and locate the noise source by combining the principles of time difference and beamforming, thereby improving the applicability of noise analysis.

[0070] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0071] In one embodiment, a vehicle interior noise localization system is provided, which corresponds one-to-one with the vehicle interior noise localization method in the above embodiment. Figure 7 As shown, the in-vehicle noise localization system 70 includes a noise collection module 710, a noise recognition module 720, and a noise localization module 730. The functional modules are described in detail as follows: Noise collection module 710, used to collect the vehicle interior noise in the driver's compartment; A noise recognition module 720 is configured to extract features of the interior noise of the vehicle and determine target noise features corresponding to the interior noise of the vehicle; The noise localization module 730 is configured to locate the in-vehicle noise using a localization strategy corresponding to the target noise feature, and determine a noise source position corresponding to the in-vehicle noise.

[0072] Optionally, the noise identification module 720 includes: An order noise analysis unit, configured to perform spectrum analysis on the interior noise of the vehicle to obtain order noise characteristics; The noise localization module 730 includes: The first positioning unit is configured to determine, based on the order noise characteristics and a preset order noise mapping table, that a component generating the order noise characteristics is a noise source position corresponding to the interior vehicle noise.

[0073] Optionally, the noise identification module 720 includes: a resonance noise analysis unit, configured to perform spectrum analysis on the interior noise of the vehicle to obtain resonance noise characteristics; The noise localization module 730 includes: The second positioning unit is configured to determine, based on the resonance noise characteristic and a preset resonance noise mapping table, that a component generating the resonance noise characteristic is a noise source position corresponding to the interior vehicle noise.

[0074] Optionally, the in-vehicle noise includes first original noise collected by at least three microphones; The noise identification module 720 further includes: an impulse noise analysis unit, configured to perform a time domain analysis on each first original noise, obtain a noise peak feature corresponding to the first original noise, and determine a first data position where the noise peak feature appears in each first original noise; The noise localization module 730 includes: The third positioning unit is used to determine the noise source position corresponding to the vehicle interior noise according to the first data position where the noise peak feature appears in each first original noise and the installation position of each microphone in the driving compartment.

[0075] Optionally, the impact noise analysis unit includes: a sound pressure level relationship curve subunit, configured to perform time domain data analysis on any first original noise to obtain a time sound pressure level relationship curve; The first data position determination subunit is used to compare the time-sound pressure relationship curve with a preset noise-free relationship curve, obtain a peak value corresponding to the noise peak feature of the first original noise, and determine the position of the peak value as the first data position corresponding to the first original noise.

[0076] Optionally, the in-vehicle noise includes second original noise collected by at least three microphones; The noise identification module 720 further includes: a voiceprint noise analysis unit, configured to extract a voiceprint from each second original noise to obtain a friction noise voiceprint feature corresponding to the second original noise; The noise localization module 730 includes: a voiceprint comparison unit, configured to compare, for any second original noise, the friction noise voiceprint feature of the second original noise with the voiceprints in a preset noise database to obtain a comparison result; a second data position determining unit, configured to determine, based on the comparison result, a second data position where the friction noise voiceprint feature appears in the second original noise; The fourth positioning unit is used to determine the noise source position corresponding to the in-vehicle noise according to the second data position where the friction noise soundprint feature appears in each second original noise and the installation position of each microphone in the driving compartment.

[0077] Optionally, the noise identification module 720 includes: A spectrum generating unit, configured to generate a noise spectrum according to the in-vehicle noise; The noise recognition unit is used to perform graphic recognition on the noise spectrum to obtain target noise characteristics.

[0078] Optionally, the in-vehicle noise localization system further includes: The power amplifier control module is used to control the in-car speakers to stop amplification before collecting the in-car noise in the driving compartment.

[0079] The specific definition of the in-vehicle noise localization system can be found in the definition of the in-vehicle noise localization method above and will not be repeated here. Each module in the above-described in-vehicle noise localization system can be implemented in whole or in part via software, hardware, or a combination thereof. Each of these modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0080] In one embodiment, a control device is provided. Figure 8 , including a memory 810 and a processor 820, wherein the memory 810 is used to store computer programs; the processor 820 is used to execute the programs stored in the memory 810 to implement the vehicle interior noise localization method introduced in any embodiment of the present application, such as Figure 1 Steps S101 to S103 are shown in the figure and will not be described here in detail to avoid repetition. Alternatively, when the processor executes the computer program, the functions of each module / unit in the embodiment of the vehicle interior noise localization device are realized, for example Figure 7 The functions of the in-vehicle noise localization device shown are not described here in detail to avoid repetition.

[0081] In one embodiment, a vehicle is provided, comprising the above-mentioned control device.

[0082] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for localizing vehicle interior noise in the above embodiment is implemented. For example, Figure 1 Steps S101 to S103 shown, or Figures 2 to 6 Alternatively, when the computer program is executed by the processor, the functions of each module / unit in the embodiment of the above-mentioned in-vehicle noise localization system are realized, for example Figure 7 The functions of the in-vehicle noise localization system shown are not described here in detail to avoid repetition.

[0083] In this application, a plurality refers to two or more.

[0084] The terms "first," "second," "third," "fourth," etc. (if any) in this application are used to distinguish similar objects and are not necessarily used to describe a particular sequential order.

[0085] The term "and / or" in this application simply describes an association between related objects, indicating that three possible relationships exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this application generally indicates that the related objects are in an "or" relationship.

[0086] Unless otherwise specified, all steps of this application may be performed sequentially or randomly. For example, "the method includes steps A and B" means that the method may include steps A and B performed sequentially, or may include steps B and A performed sequentially. For example, "the method may also include step C" means that step C may be added to the method in any order. For example, the method may include steps A, B, and C, or steps A, C, and B, or steps C, A, and B, etc.

[0087] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A method for locating noise in a vehicle, characterized in that: include: Collect the interior noise in the driving compartment; Extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle; The positioning strategy corresponding to the target noise feature is adopted to locate the interior noise and determine the position of the noise source corresponding to the interior noise.

2. The method for locating noise in a vehicle according to claim 1, wherein: The extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle includes: Performing spectrum analysis on the interior noise of the vehicle to obtain order noise characteristics; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: Based on the order noise characteristics and a preset order noise mapping table, a component generating the order noise characteristics is determined as a noise source position corresponding to the interior vehicle noise.

3. The method for locating noise in a vehicle according to claim 1, wherein: The extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle includes: Performing a frequency spectrum analysis on the interior noise of the vehicle to obtain a resonance noise characteristic; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: Based on the resonance noise characteristics and a preset resonance noise mapping table, a component generating the resonance noise characteristics is determined as a noise source position corresponding to the interior vehicle noise.

4. The method for locating noise in a vehicle according to claim 1, wherein: The in-vehicle noise includes first original noise collected by at least three microphones; The extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle includes: Performing a time domain analysis on each first original noise to obtain a noise peak feature corresponding to the first original noise, and determining a first data position where the noise peak feature appears in each first original noise; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: The noise source position corresponding to the in-vehicle noise is determined according to a first data position where the noise peak feature appears in each first original noise and an installation position of each microphone in the driving compartment.

5. The method for locating noise in a vehicle according to claim 4, wherein: The performing time domain analysis on each first original noise to obtain a noise peak feature corresponding to the first original noise, and determining a first data position where the noise peak feature appears in each first original noise, includes: For any first original noise, performing time domain data analysis on the first original noise to obtain a time sound pressure level relationship curve; The time-sound pressure relationship curve is compared with a preset relationship curve without noise to obtain a peak value corresponding to a noise peak feature of the first original noise, and the position of the peak value is determined to correspond to the first data position in the first original noise.

6. The method for locating noise in a vehicle according to claim 1, wherein: The in-vehicle noise includes second original noise collected by at least three microphones; The extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle includes: Performing voiceprint extraction on each second original noise to obtain a friction noise voiceprint feature corresponding to the second original noise; The adopting the positioning strategy corresponding to the target noise feature to locate the vehicle interior noise and determine the noise source position corresponding to the vehicle interior noise includes: For any second original noise, comparing the friction noise voiceprint feature of the second original noise with the voiceprint in a preset noise database to obtain a comparison result; determining, based on the comparison result, a second data position where the friction noise voiceprint feature appears in the second original noise; The noise source position corresponding to the in-vehicle noise is determined according to the second data position where the friction noise soundprint feature appears in each second original noise and the installation position of each microphone in the driver's cabin.

7. The method for locating noise in a vehicle according to claim 2, wherein: The extracting features of the interior noise of the vehicle to determine target noise features corresponding to the interior noise of the vehicle includes: generating a noise spectrum diagram according to the in-vehicle noise; Performing graphic recognition on the noise spectrum to obtain target noise features.

8. A vehicle interior noise location system, characterized in that: include: Noise collection module, used to collect the noise inside the driving compartment; a noise recognition module, configured to extract features of the interior noise of the vehicle and determine target noise features corresponding to the interior noise of the vehicle; The noise positioning module is used to locate the vehicle interior noise by adopting a positioning strategy corresponding to the target noise feature, and determine the position of the noise source corresponding to the vehicle interior noise.

9. A control device, characterized in that: comprising a processor and a memory, wherein the memory is used to store computer programs; A processor is configured to execute the program stored in the memory to implement the method for locating in-vehicle noise according to any one of claims 1 to 7.

10. A vehicle, characterized in that: Comprising a control device as claimed in claim 9.

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