Vehicle noise reduction method, device, equipment, medium, program product and vehicle

Abstract

The invention relates to a vehicle noise reduction method and device, equipment, a medium, a program product and a vehicle, and the method comprises the steps: determining a target noise reduction parameter according to the driving environment information of the vehicle; and performing noise reduction processing according to the target noise reduction parameter. The noise reduction effect of the vehicle can be effectively improved, and the user experience is improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle noise reduction, and in particular to a vehicle noise reduction method, device, equipment, medium, program product and vehicle. Background Art

[0002] With the rapid popularization of new energy vehicles and the rapid development of digitalization and intelligence, the NVH (NoiseVibrationHarshness) performance of automobiles has become one of the important indicators for measuring the ride comfort of automobiles. In order to improve the NVH performance of automobiles, active noise reduction is currently performed by collecting noise, but the complex road conditions ahead will affect the vehicle noise reduction. The use of a relatively fixed noise reduction solution will result in less than ideal noise reduction effects. Summary of the invention

[0003] The embodiments of the present application provide a vehicle noise reduction method, device, equipment, medium, program product and vehicle, which improve the vehicle noise reduction effect and at least partially solve the above technical problems.

[0004] In order to achieve the above object, according to a first aspect of the present application, a vehicle noise reduction method is provided for use in a vehicle, the vehicle noise reduction method comprising:

[0005] Determining target noise reduction parameters according to driving environment information of the vehicle;

[0006] Noise reduction processing is performed according to the target noise reduction parameter.

[0007] According to a second aspect of the present application, an electronic device is provided, which is applied to a vehicle, and the electronic device includes:

[0008] A determination unit, used to determine a target noise reduction parameter according to the driving environment information of the vehicle;

[0009] The noise reduction unit is used to perform noise reduction processing according to the target noise reduction parameter.

[0010] According to a third aspect of the present application, an electronic device is also provided, which includes at least two different noise measuring devices, a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of any of the above methods.

[0011] According to a fourth aspect of the present application, a computer-readable storage medium is also provided, which includes a computer program. When the computer program is run on an electronic device, the computer program is used to enable the electronic device to execute the steps of any of the above-mentioned methods.

[0012] According to the fifth aspect of the present application, a computer program product is also provided, which includes a computer program, and the computer program is stored in a computer-readable storage medium; when the processor of an electronic device reads the computer program from the computer-readable storage medium, the processor executes the computer program, so that the electronic device performs the steps of any of the above-mentioned methods.

[0013] The vehicle noise reduction method provided in the embodiment of the present application is applied to a vehicle, and a target noise reduction parameter is determined according to the driving environment information of the vehicle; and noise reduction processing is performed according to the target noise reduction parameter. In this way, by selecting appropriate target noise reduction parameters for noise reduction according to the driving environment information of the vehicle, the noise reduction effect of the vehicle can be improved, and the user experience can be improved.

[0014] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without creative work.

[0016] In order to more completely understand the present application and its beneficial effects, the following description will be given in conjunction with the accompanying drawings, wherein the same figure numbers represent the same parts in the following description.

[0017] Figure 1 is a flow chart of an embodiment of a vehicle noise reduction method provided in an embodiment of the present invention;

[0018] Figure 2 is a schematic structural diagram of a noise reduction system for a vehicle provided in an embodiment of the present invention;

[0019] Figure 3 is a schematic diagram of the arrangement of a noise measuring device for a vehicle provided in an embodiment of the present invention;

[0020] Figure 4 is a schematic diagram of various driving environment information provided in an embodiment of the present invention;

[0021] Figure 5 is a framework diagram of a vehicle noise reduction system provided in an embodiment of the present invention;

[0022] Figure 6 is a vehicle noise reduction processing flow chart provided in an embodiment of the present invention;

[0023] Figure 7 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention;

[0024] Figure 8 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0026] With the rapid popularization of new energy vehicles and the rapid development of digitalization and intelligence, the NVH (NoiseVibrationHarshness) performance of automobiles has become one of the important indicators for measuring the ride comfort of automobiles. In order to improve the NVH index performance of automobiles, the mainstream noise reduction method is to passively reduce noise by increasing the stiffness and mass of panels, laying sound-absorbing, sound-insulating and damping materials, etc., but these solutions still have poor noise suppression effects on vehicles.

[0027] Therefore, an active noise control technology (Road Noise Cancellation RNC) that can effectively suppress low-frequency road noise was proposed. RNC collects road noise vibration as a reference signal through an acceleration sensor arranged on the vehicle chassis, and collects real-time road noise in the car as an error signal through a microphone arranged in the car, and emits reverse noise through the on-board speakers to reduce the road noise at the microphone.

[0028] However, the inventors have found that in the face of complex vehicle driving environments, road conditions will affect vehicle noise reduction, and the use of relatively fixed noise reduction solutions will result in less than ideal noise reduction effects.

[0029] Specifically, the vibration point that best reflects road noise may change, while the installation position of the acceleration sensor as a noise measuring device is generally fixed, which may result in the inability to accurately measure noise and the vehicle noise reduction effect is still poor.

[0030] In order to solve the above problems, the embodiments of the present application propose a vehicle noise reduction method, device, equipment, medium, program product and vehicle. The embodiments of the present application select appropriate target noise reduction parameters for noise reduction according to the vehicle driving environment information, which can improve the vehicle noise reduction effect and improve the user experience.

[0031] Specifically, the vehicle noise reduction method in the present application can be applied to a vehicle, and the executor of the vehicle noise reduction method can be a vehicle, such as a car, an electric car, a hybrid car, etc.

[0032] In the following, each embodiment is described in detail by taking the vehicle noise reduction method as an example in which the execution subject is a vehicle.

[0033] Correspondingly, if Figure 1 As shown, the vehicle noise reduction method may include the following steps:

[0034] S10, determining a target noise reduction parameter according to the driving environment information of the vehicle;

[0035] S20: Perform noise reduction processing according to the target noise reduction parameter.

[0036] In this embodiment, the driving environment information of the vehicle refers to the information of the environment in which the vehicle is driving, including the road surface information or the slope information of the road surface, such as the road surface flatness, road surface type, slope value or slope type. The vibration degree and driving posture of the vehicle change in different driving environments, resulting in changes in the noise reduction effect of the vehicle. Then, according to the driving environment information, appropriate target noise reduction parameters are selected for noise reduction processing.

[0037] In this way, by selecting appropriate target noise reduction parameters for noise reduction according to the vehicle driving environment information, the vehicle noise reduction effect can be improved and the user experience can be improved.

[0038] In some embodiments, the driving environment information includes road information, and the road information includes road surface information and / or slope information.

[0039] In this embodiment, the driving environment information includes road information, which is information related to the road ahead of the vehicle, and includes road surface information and / or slope information. The road surface information represents the flatness of the road ahead of the vehicle, and the slope information represents the slope of the road ahead of the vehicle. In this embodiment, the driving environment information may include road surface information and / or slope information of the road ahead of the vehicle, and the road surface information may refer to the road surface type of the road ahead, and the slope information may refer to the road surface type of the road ahead, or the road surface information and the slope information may also be specific data values, etc. The road information and the road surface information and / or slope information included in the road information are the main factors affecting the vehicle noise reduction, so the noise reduction effect can be further improved by determining the target noise reduction parameters based on the road information and the road surface information and / or slope information included in the road information.

[0040] In some embodiments, determining the target noise reduction parameter according to the driving environment information of the vehicle further includes:

[0041] Collecting visual data of the road ahead of the vehicle through at least two sensor devices;

[0042] Road information of the road ahead is determined based on the visual data collected by the at least two sensing devices.

[0043] In this embodiment, at least two sensor devices are provided on the vehicle, and the vehicle can obtain driving environment information ahead through at least two sensor devices. The sensor device can include binocular cameras and / or laser radars, and then the vehicle's sensor device can collect visual data ahead of the vehicle. There are at least two types of visual data, and based on the visual data collected by at least two sensor devices, the road information ahead can be accurately obtained.

[0044] Optionally, in this embodiment, the vehicle includes two sensing devices, a binocular camera and a laser radar, and the visual data includes image data and / or point cloud data. The vehicle can obtain image data in front of the vehicle through a binocular camera and point cloud data in front of the vehicle through a laser radar. The image data and / or point cloud data collected in front of the vehicle by the sensing device of the vehicle include image data and / or point cloud data of the road in front. By processing and analyzing the two visual data, image data and point cloud data, road information can be obtained. Furthermore, the road surface information and / or slope information of the road in front of the vehicle can be determined based on the image data and / or point cloud data in front of the vehicle.

[0045] In one embodiment, determining the road information of the road ahead based on the visual data collected by the at least two sensing devices includes:

[0046] Performing multi-source fusion and feature extraction on the visual data collected by the at least two sensing devices to obtain road features;

[0047] The road features are input into a pre-trained neural network model to determine the road information of the road ahead.

[0048] In this embodiment, in the pre-training stage, a neural network model that can predict the road ahead information can be trained. After collecting at least two types of visual data through at least two sensing devices, the at least two types of visual data are multi-source fused and feature extracted to obtain road features of the road ahead, and the road features are input into the pre-trained neural network model to predict the road information of the road ahead, including road surface information and / or slope information.

[0049] In one embodiment, performing noise reduction processing according to the target noise reduction parameter includes:

[0050] The target noise reduction parameter is determined according to the driving environment information and a preset mapping relationship, wherein the preset mapping relationship includes mapping relationships between a plurality of driving environment information and a plurality of noise reduction parameters.

[0051] In this embodiment, in the pre-training stage, different driving environment information, that is, road surface information and / or slope information, and the preset mapping relationship between the noise reduction parameters can be determined, that is, the preset mapping relationship includes the mapping relationship between multiple driving environment information and multiple noise reduction parameters. For example, different road surface types and different slope information can be pre-trained to set different driving environment information. Figure 4 , the road surface types can be divided into Ⅰ: cobblestone road, Ⅱ: type B twisted road, Ⅲ: pothole road, Ⅳ: bump road, Ⅴ: stone road. The slope type is divided into A: gentle slope, B: medium slope, C: steep slope, D: sharp slope, E: reverse slope. After the different road surface types and different slope types are arranged and combined, a variety of different driving environment information can be obtained. In the pre-training stage, each driving environment information is tested under the corresponding driving environment. For each driving environment information, the coherence of different noise reduction parameters and driving environment information is obtained, and one or more noise reduction parameters with the greatest coherence correspond to the driving environment information to obtain the preset mapping relationship. Then query the preset mapping relationship, and determine that the noise reduction parameter corresponding to the currently identified driving environment information in the preset mapping relationship is the target noise reduction parameter.

[0052] In one embodiment, the vehicle includes at least two different noise measuring devices, and the target noise reduction parameter includes target noise measuring device information;

[0053] The performing noise reduction processing according to the target noise reduction parameter includes:

[0054] Determining a target noise measuring device from at least two of the noise measuring devices according to the target noise measuring device information;

[0055] Noise reduction processing is performed according to the noise information collected by the target noise measuring device.

[0056] Faced with a complex vehicle driving environment, the vibration points, noise sources, and noise types that best reflect road noise may change. However, the acceleration sensor used as a noise measuring device is generally fixed, especially its position is fixed, which may result in the inability to accurately measure the noise information that can reflect the vehicle noise, and the vehicle noise reduction effect is still poor.

[0057] Therefore, in this embodiment, at least two different noise measuring devices are arranged on the vehicle, and the at least two different noise measuring devices have at least one difference in installation position and device type. The driving environment information can characterize the changes in the vibration point, noise source, and noise type of the current road noise. According to the driving environment information of the vehicle, a suitable target noise measuring device needs to be determined from the at least two different noise measuring devices to collect the noise of the vehicle, and noise reduction processing is performed according to the noise information collected by the target noise measuring device, so that noise reduction can be performed more accurately and the noise reduction effect can be improved.

[0058] Based on the above design, the target noise reduction parameters determined according to the driving environment information include target noise measuring device information. The target noise measuring device information may point to at least one target noise measuring device among at least two different noise measuring devices arranged on the vehicle. The target noise measuring device information may include at least one of an installation location, a device type and a device identification. The device type includes at least one of an acceleration sensor, a vibration sensor and a microphone sensor.

[0059] It should be noted that all noise measuring devices can collect noise information, which can be vibration signals, sound signals, noise size, noise type, etc. The noise information collected by different noise measuring devices can reflect vehicle noise to different degrees. The target noise measuring device is a noise measuring device whose collected noise information can better reflect vehicle noise among multiple noise measuring devices of the vehicle under the current driving environment, that is, the noise information collected by it can more accurately reflect vehicle noise compared with the noise parameters collected by other noise measuring devices. Therefore, according to the noise information collected by the target noise measuring device as a noise reduction reference, the vehicle noise can be reduced more accurately and more targeted to achieve a better noise reduction effect. For example, the noise information is used to obtain a reference signal of vehicle noise, and a reverse signal opposite to the noise is formed and played to offset the vehicle noise to achieve a better noise reduction effect.

[0060] In the technical solution disclosed in this embodiment, based on the discovery that the vibration point that best reflects road noise will change, at least two different noise measuring devices are set on the vehicle. When it is necessary to reduce the noise of the vehicle, a suitable target noise measuring device is selected according to the vehicle driving environment information, and noise information that can better reflect the vehicle noise is collected for noise reduction to ensure a better noise reduction effect. Therefore, the vehicle noise reduction effect can be improved and the user experience can be improved.

[0061] In some specific embodiments, considering that the vibration point that best reflects road noise changes more obviously under different driving environments, the change of the vibration point that best reflects road noise brings about the change of the best noise measurement position. Therefore, in this embodiment, at least two different noise measurement devices at least include different installation positions. Figure 2 In the invention, multiple acceleration sensors with different installation positions are set. The driving environment information can reflect the change of the optimal noise measurement position, so the target noise measurement device determined according to the driving environment information is the noise reduction position closest to the optimal noise measurement position. It can be understood that since the installation position of the noise measurement device is relatively fixed, the target noise measurement device may not be at the actual optimal noise measurement position, but it is closer to the optimal noise measurement position than other noise measurement devices. The noise information collected by the target noise measurement device can more accurately reflect the current vehicle noise.

[0062] In one embodiment, the vehicle includes at least two noise measuring areas, and each noise measuring area includes the at least two different noise measuring devices.

[0063] In this embodiment, since the space inside the vehicle is large, the noise heard at different positions is different, so multiple noise measurement areas can be set in the vehicle settings according to the needs of vehicle users. For each noise measurement area, at least two different noise measurement devices are set in each noise measurement area, and at least one target noise measurement device can be determined from each noise measurement area according to the driving environment information.

[0064] It can be understood that the target noise measuring devices in each noise measuring area can be combined into a target noise measuring device group. When noise reduction is performed, the noise information collected by each target noise measuring device in the target noise measuring device group can be fused, and then the noise reduction process can be performed based on the fused noise information. Alternatively, for each noise measuring area, the noise information in the noise measuring area can be collected based on the target noise measuring devices in the noise measuring area to characterize the vehicle noise in the noise measuring area, and the noise reduction process can be performed on the noise measuring area.

[0065] Reference Figure 2 The vehicle includes at least two noise measurement areas, corresponding to the main driver's side, the co-driver's side, and both sides of the rear seat. In each noise measurement area, there are multiple acceleration sensors that can collect vibration signals as noise information, error sensors for collecting residual noise as error signals, and secondary speakers for emitting secondary noise. For each noise measurement area, the vibration signal is collected according to the acceleration sensor used as the target noise measurement device in the noise measurement area, and the secondary speaker is controlled to emit sound through the active noise reduction algorithm to perform noise reduction processing on the secondary channel between the secondary speaker in the noise measurement area and the error sensor. Furthermore, the active noise reduction algorithm used in the noise measurement area can be adjusted according to the error signal collected by the error sensor to achieve a better noise reduction effect.

[0066] In this way, a plurality of different noise measuring devices are arranged in each noise measuring area on the vehicle that needs noise reduction, and the target noise measuring device in each noise measuring area is determined regionally by the driving environment information. Then, the vehicle noise in each noise measuring area can be more accurately characterized by the noise information, so as to perform noise reduction more meticulously and improve the noise reduction effect.

[0067] Optionally, the target noise reduction information includes at least one of an installation location, a device type and a device identification. According to the target noise reduction information, a noise measuring device that meets the target noise measuring device information can be selected from each noise measuring area as the target noise measuring device of the noise measuring area.

[0068] Furthermore, the noise measuring devices in different noise measuring areas are symmetrically arranged relative to the center of the vehicle, and the noise measuring areas are also symmetrically arranged relative to the center of the vehicle, so that the installation positions, equipment types, etc. of the noise measuring devices in each noise measuring area have commonality, so that under the same driving environment information, the positions of the target noise measuring devices in each noise measuring area are also symmetrically arranged relative to the center of the vehicle. In this way, the target noise measuring device can be determined from all noise measuring areas at one time according to a target noise measuring information corresponding to the driving environment information.

[0069] Alternatively, after determining the target noise measuring device in at least one noise measuring area, the target noise measuring devices in other noise measuring areas may be determined through this symmetric relationship, which can reduce the cost of determining the preset mapping relationship in the pre-training stage and improve the algorithm efficiency.

[0070] For a better understanding, the following provides a specific application scenario. Figure 3 Optionally, according to the noise reduction needs of the vehicle and the user's seating position, multiple noise measurement areas are pre-set, corresponding to the main driver's side, the co-driver's side, and both sides of the rear seat, respectively. In each noise measurement area, three acceleration sensors at different positions are respectively set as noise measurement devices, wherein the symmetrical acceleration sensors can form acceleration sensor group 1, acceleration sensor group 2, and acceleration sensor group 3. During driving, it can be determined that the installation position included in the target noise measurement device information is close to the outer edge of the vehicle according to the acquired driving environment information, then the acceleration sensor group 3 can be uniformly selected to collect noise information for noise reduction processing.

[0071] In one embodiment, the noise reduction process is performed according to the noise information collected by the target noise measuring device, including:

[0072] Inputting the noise information into an active noise reduction algorithm to obtain inverse noise information;

[0073] A speaker of the vehicle is controlled to emit sound based on the anti-phase noise information to perform noise reduction processing.

[0074] In this embodiment, the noise reduction system can use an active noise reduction algorithm to perform noise reduction. The reference signal for active noise reduction processing is noise information. Specifically, the process of active noise reduction processing is: after determining the target noise measuring device, the target noise measuring device is effective within a certain period of time. In this embodiment, the target noise measuring device is the best noise measuring device for the vehicle within a preset time. Therefore, within the preset time, the target noise measuring device can collect noise information at the location of the vehicle, and the noise information can be used as a reference signal. After being processed by the active noise reduction algorithm, the anti-phase noise information can be obtained, and the speaker is controlled to sound based on the anti-phase noise information. It can be understood that the sound signal emitted based on the anti-phase noise information is basically opposite to the vehicle noise, and can offset the vehicle noise, thereby achieving active noise reduction processing and improving the noise reduction effect.

[0075] More specifically, refer to Figure 2 The noise measuring devices installed on the vehicle are all acceleration sensors. Each noise measuring device can be an acceleration sensor. The target noise measuring device can be a target acceleration sensor. The acceleration sensor can be installed on the vehicle chassis, specifically, it can be installed near the suspension and wheels of the vehicle chassis, and can directly feel the vibration that generates vehicle noise. The vehicle noise is also mainly caused by the vibration process corresponding to the vibration signal. Using the vibration signal as noise information can more directly and completely characterize the vehicle noise. These acceleration sensors are installed on the chassis of the vehicle, and their installation positions on the vehicle chassis are different.

[0076] Reference Figure 5 At least two corresponding visual data are collected by at least two sensing devices of the vehicle (which may be a binocular camera and a laser radar). After multi-source fusion and feature extraction of at least two visual data, the road surface information and slope information of the road ahead can be predicted by a neural network model. A target noise measuring device is selected through a preset mapping relationship. There may be multiple target noise measuring devices. These target noise measuring devices may be as follows: Figure 3 In the acceleration sensor group shown in the figure, the noise information collected by the acceleration sensor is the vibration signal at the chassis position. The vibration signal is the main source of vehicle noise and can characterize the vehicle noise. Then, the vibration signal collected by each acceleration sensor in the acceleration sensor group is input into the active noise reduction algorithm as a reference signal to achieve better noise reduction effect at present.

[0077] In one embodiment, the method may further include:

[0078] The step of determining the target noise reduction parameter according to the driving environment information of the vehicle is performed at preset time intervals.

[0079] In this embodiment, since the driving environment of the vehicle is constantly changing during driving, the step of determining the target noise reduction parameters according to the driving environment information of the vehicle can be performed once at a preset time interval. Specifically, the driving environment information can be obtained once at a preset time interval, and the target noise reduction parameters are determined according to the latest driving environment information obtained to perform noise reduction processing. Compared with real-time collection of driving environment information and real-time change of target noise reduction parameters, in this embodiment, the driving environment information is collected and the target noise reduction parameters are adjusted at preset time intervals. While ensuring that the target noise reduction parameters are more optimal, the computing power requirements are reduced, the robustness of the noise reduction system can be improved, and the noise reduction effect of the vehicle can be further improved.

[0080] In one embodiment, the method further comprises:

[0081] If the driving speed of the vehicle exceeds a preset speed, the step of determining the target noise reduction parameter according to the driving environment information of the vehicle is performed.

[0082] In this embodiment, when the vehicle speed does not reach a certain threshold, the impact of vehicle noise is small. Therefore, during the vehicle driving process, the vehicle speed will be obtained. When the vehicle speed exceeds the preset speed, it is necessary to re-acquire the vehicle's driving environment information so as to timely adjust the noise reduction parameters in accordance with the vehicle's driving environment information to ensure a better noise reduction effect; if the vehicle speed does not exceed the preset speed, the target noise reduction parameters will not be updated temporarily, and noise reduction may not be required until the vehicle speed exceeds the preset speed. This can further reduce the computing power requirements, improve the robustness of the noise reduction system, and further improve the vehicle noise reduction effect.

[0083] Optionally, it is determined whether the vehicle speed exceeds a preset speed. If the vehicle speed exceeds the preset speed, the step of determining the target noise reduction parameter according to the vehicle driving environment information is performed. After a preset period of time, the step of determining whether the vehicle speed exceeds the preset speed is performed again to determine whether the noise reduction needs to be continued.

[0084] For a better understanding, another specific application scenario is provided below. Figure 6 :

[0085] After the vehicle is started or during the vehicle driving process, the vehicle's driving speed is obtained to determine whether the current vehicle driving speed exceeds the preset speed V. The preset speed V can be 30km / h. For most models, when the driving speed is lower than 30km / h, the road noise has little impact and no noise reduction is required. If it does not exceed 30km / h, the binocular camera, laser radar, etc. are temporarily not used to obtain driving environment information to determine the target noise reduction parameters. If it exceeds 30km / h, the binocular camera and laser radar need to be started to collect image data and point cloud data of the road ahead. After multi-source fusion and feature extraction, the neural network model is input to predict the road surface information and slope information of the road ahead. Combined with the preset mapping relationship stored in the database during the pre-training stage, it is determined that the target noise reduction parameter is the target acceleration sensor group in each noise measurement area. Then the active noise reduction algorithm is started, the time threshold τ is set and the timing T=0, and the vibration signal collected by the enabled target acceleration sensor group is used as a reference signal for active noise reduction. When the time T reaches the threshold τ, it can be re-judged whether the vehicle's driving speed V exceeds 30km / h, and the above operation is repeated.

[0086] In some other embodiments, if the driving speed of the vehicle does not exceed the preset speed, the noise measuring device information corresponding to the preset noise measuring device is set as the target noise reduction parameter, and the step of performing noise reduction processing according to the target noise reduction parameter is executed.

[0087] The inventors also discovered that when the vehicle speed does not reach a certain threshold, the impact of vehicle noise is small, and the optimal noise measurement position will not change much. Therefore, during vehicle driving, the vehicle speed will be obtained. When the vehicle speed exceeds the preset speed, it is necessary to obtain the vehicle's driving environment information so as to timely adjust the target noise measurement device used for noise reduction according to the vehicle's driving environment information to ensure a better noise reduction effect; if the vehicle speed does not exceed the preset speed, a fixed noise measurement device can be used for noise reduction, so as to set the preset noise measurement device predetermined for noise reduction as the target noise measurement device, and perform noise reduction processing based on the noise parameters collected by the preset noise measurement device as noise information. It should be noted that there can also be multiple preset noise measurement devices, including at least one preset noise measurement device in each noise measurement area, for example, selecting Figure 3 An acceleration sensor group is shown. This can ensure the stability of noise reduction and further reduce the computing power requirements, which can improve the robustness of the noise reduction system and further improve the vehicle noise reduction effect.

[0088] This embodiment also provides an electronic device, which can be integrated into a vehicle. Figure 7 As shown, the electronic device may include:

[0089] A determination unit 1001 is used to determine a target noise reduction parameter according to the driving environment information of the vehicle;

[0090] The noise reduction unit 1002 is used to perform noise reduction processing according to the target noise reduction parameter.

[0091] Optionally, the driving environment information includes road information, and the road information includes road surface information and / or slope information.

[0092] Optionally, the determining unit 1001 is further configured to:

[0093] Collecting visual data of the road ahead of the vehicle through at least two sensor devices;

[0094] Road information of the road ahead is determined based on the visual data collected by the at least two sensing devices.

[0095] Optionally, the determining unit 1001 is further configured to:

[0096] Performing multi-source fusion and feature extraction on the visual data collected by the at least two sensing devices to obtain road features;

[0097] The road features are input into a pre-trained neural network model to determine the road information of the road ahead.

[0098] Optionally, the sensing device includes a binocular camera and / or a laser radar.

[0099] Optionally, the noise reduction unit 1002 is further configured to:

[0100] The target noise reduction parameter is determined according to the driving environment information and a preset mapping relationship, wherein the preset mapping relationship includes mapping relationships between a plurality of driving environment information and a plurality of noise reduction parameters.

[0101] Optionally, the vehicle includes at least two different noise measuring devices, the target noise reduction parameter includes target noise measuring device information, and the noise reduction unit 1002 is further configured to:

[0102] Determining a target noise measuring device from at least two of the noise measuring devices according to the target noise measuring device information;

[0103] Noise reduction processing is performed according to the noise information collected by the target noise measuring device.

[0104] Optionally, the noise reduction unit 1002 is further configured to:

[0105] Inputting the noise information into an active noise reduction algorithm to obtain inverse noise information;

[0106] A speaker of the vehicle is controlled to emit sound based on the anti-phase noise information to perform noise reduction processing.

[0107] Optionally, the vehicle includes at least two noise measuring areas, each noise measuring area includes the at least two different noise measuring devices.

[0108] Optionally, the target noise measuring device information includes at least one of an installation location, a device type and a device identification.

[0109] Optionally, the at least two different noise measuring devices differ in at least one of installation location and device type.

[0110] Optionally, the device type includes at least one of an acceleration sensor, a vibration sensor, and a microphone sensor.

[0111] Optionally, the determining unit 1001 is further configured to:

[0112] The step of determining the target noise reduction parameter according to the driving environment information of the vehicle is performed at preset time intervals.

[0113] Optionally, the determining unit 1001 is further configured to:

[0114] If the driving speed of the vehicle exceeds a preset speed, the step of determining the target noise reduction parameter according to the driving environment information of the vehicle is performed.

[0115] This embodiment determines the target noise reduction parameter according to the vehicle's driving environment information, and performs noise reduction processing according to the target noise reduction parameter. In this way, selecting appropriate target noise reduction parameters for noise reduction according to the vehicle's driving environment information can improve the vehicle noise reduction effect and improve the user experience.

[0116] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0117] Accordingly, an embodiment of the present application further provides an electronic device, such as Figure 8 As shown, Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device 1100 also includes a processor 1101 having one or more processing cores, a memory 1102 having one or more computer-readable storage media, and a computer program stored in the memory 1102 and executable on the processor. The processor 1101 is electrically connected to the memory 1102. Those skilled in the art will appreciate that the electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown, or combine certain components, or arrange components differently.

[0118] The processor 1101 is the control center of the electronic device 1100, and uses various interfaces and lines to connect various parts of the entire electronic device 1100. By running or loading software programs and / or units stored in the memory 1102, and calling data stored in the memory 1102, the processor 1101 executes various functions of the electronic device 1100 and processes data, thereby monitoring the electronic device 1100 as a whole. The processor 1101 can be a processor CPU, a graphics processor GPU, a network processor (Network Processor, NP), etc., and can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application.

[0119] In the embodiment of the present application, the processor 1101 in the electronic device 1100 will load instructions corresponding to the processes of one or more application programs into the memory 1102 according to the following steps, and the processor 1101 will run the application programs stored in the memory 1102 to implement various functions, such as:

[0120] Determining target noise reduction parameters according to driving environment information of the vehicle;

[0121] Noise reduction processing is performed according to the target noise reduction parameter.

[0122] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0123] Optional, such as Figure 8 As shown, the electronic device 1100 further includes: a touch screen 1103, a radio frequency circuit 1104, an audio circuit 1105, an input unit 1106, and a power supply 1107. The processor 1101 is electrically connected to the touch screen 1103, the radio frequency circuit 1104, the audio circuit 1105, the input unit 1106, and the power supply 1107, respectively. Those skilled in the art can understand that Figure 8 The electronic device structure shown in the figure does not constitute a limitation of the electronic device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0124] The touch display screen 1103 can be used to display a graphical user interface and receive operation instructions generated by the user acting on the graphical user interface. The touch display screen 1103 may include a display panel and a touch panel. Among them, the display panel can be used to display information input by the user or information provided to the user and various graphical user interfaces of the electronic device, and these graphical user interfaces can be composed of graphics, text, icons, videos and any combination thereof. Optionally, the display panel can be configured in the form of a liquid crystal display (LCD, Liquid Crystal Display), an organic light-emitting diode (OLED, Organic Light-EmittingDiode) and the like. The touch panel can be used to collect the touch operation of the user on or near it (such as the operation of the user using any suitable object or attachment such as a finger, a stylus, etc. on the touch panel or near the touch panel), and generate corresponding operation instructions, and the operation instructions execute corresponding programs. Optionally, the touch panel may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into the touch point coordinates, and then sends it to the processor 1101, and can receive the command sent by the processor 1101 and execute it. The touch panel can cover the display panel. When the touch panel detects a touch operation on or near it, it is transmitted to the processor 1101 to determine the type of touch event, and then the processor 1101 provides corresponding visual output on the display panel according to the type of touch event. In an embodiment of the present invention, the touch panel and the display panel can be integrated into the touch display screen 1103 to realize the input and output functions. However, in some embodiments, the touch panel and the touch panel can be used as two independent components to realize the input and output functions. That is, the touch display screen 1103 can also be used as a part of the input unit 1106 to realize the input function.

[0125] The radio frequency circuit 1104 may be used to send and receive radio frequency signals, so as to establish wireless communication with network medical devices or other electronic devices through wireless communication, and to send and receive signals between network medical devices or other electronic devices.

[0126] The audio circuit 1105 can be used to provide an audio interface between the user and the electronic device through a speaker and a microphone. The audio circuit 1105 can transmit the electrical signal converted from the received audio data to the speaker, which is converted into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 1105 and converted into audio data, and then the audio data is output to the processor 1101 for processing, and then sent to another electronic device through the radio frequency circuit 1104, or the audio data is output to the memory 1102 for further processing. The audio circuit 1105 may also include an earplug jack to provide communication between an external headset and an electronic device.

[0127] The input unit 1106 may be used to receive input numbers, character information or user feature information (such as fingerprint, iris, facial information, etc.), and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0128] The power supply 1107 is used to supply power to various components of the electronic device 1100. Optionally, the power supply 1107 can be logically connected to the processor 1101 through a power management device, so that the power management device can manage charging, discharging, power consumption and other functions. The power supply 1107 can also include one or more DC or AC power supplies, recharging devices, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0129] although Figure 8 Not shown, the electronic device 1100 may also include a camera, a sensor, a wireless fidelity module, a Bluetooth module, etc., which will not be described in detail here.

[0130] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0131] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0132] To this end, an embodiment of the present application provides a computer-readable storage medium, in which a plurality of computer programs are stored. The computer program can be loaded by a processor to execute any vehicle noise reduction method provided in the embodiment of the present application. The computer program can execute the following steps of the vehicle noise reduction method:

[0133] Determining target noise reduction parameters according to driving environment information of the vehicle;

[0134] Noise reduction processing is performed according to the target noise reduction parameter.

[0135] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0136] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0137] Since the computer readable storage medium can implement the computer program that can be beneficially stored in any of the vehicle noise reduction methods provided in the embodiments of the present application, any of the vehicle noise reduction methods provided in the embodiments of the present application can be executed, the effects are detailed in the previous embodiments and will not be repeated here.

[0138] In the above-mentioned vehicle noise reduction method, electronic device, electronic device, computer-readable storage medium, computer program product, vehicle, etc., the description of each embodiment has its own emphasis. For the part not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and beneficial effects of the above-mentioned electronic device, vehicle noise measuring device, computer-readable storage medium, computer program product, vehicle and its corresponding units can refer to the description of the vehicle noise reduction method in the above embodiment, and will not be repeated here.

[0139] The above is a detailed introduction to a vehicle noise reduction method, device, equipment, medium, program product and vehicle provided in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present application.

Claims

1. A vehicle noise reduction method, characterized in that: Applied to a vehicle, the vehicle noise reduction method comprises: Determining target noise reduction parameters according to driving environment information of the vehicle; Noise reduction processing is performed according to the target noise reduction parameter.

2. The vehicle noise reduction method according to claim 1, characterized in that: The driving environment information includes road information, and the road information includes road surface information and / or slope information.

3. The vehicle noise reduction method according to claim 2, characterized in that: The step of determining the target noise reduction parameter according to the driving environment information of the vehicle further includes: Collecting visual data of the road ahead of the vehicle through at least two sensor devices; Road information of the road ahead is determined based on the visual data collected by the at least two sensing devices.

4. The vehicle noise reduction method according to claim 3, characterized in that: Determining the road information of the road ahead according to the visual data collected by the at least two sensing devices includes: Performing multi-source fusion and feature extraction on the visual data collected by the at least two sensing devices to obtain road features; The road features are input into a pre-trained neural network model to determine the road information of the road ahead.

5. The vehicle noise reduction method according to claim 3, characterized in that: The sensing device includes a binocular camera and / or a laser radar.

6. The vehicle noise reduction method according to claim 1, characterized in that: The performing noise reduction processing according to the target noise reduction parameter includes: The target noise reduction parameter is determined according to the driving environment information and a preset mapping relationship, wherein the preset mapping relationship includes mapping relationships between a plurality of driving environment information and a plurality of noise reduction parameters.

7. The vehicle noise reduction method according to claim 1, characterized in that: The vehicle includes at least two different noise measuring devices, and the target noise reduction parameter includes target noise measuring device information; The performing noise reduction processing according to the target noise reduction parameter includes: Determining a target noise measuring device from at least two of the noise measuring devices according to the target noise measuring device information; Noise reduction processing is performed according to the noise information collected by the target noise measuring device.

8. The vehicle noise reduction method according to claim 7, characterized in that: The noise reduction process is performed according to the noise information collected by the target noise measuring device, including: Inputting the noise information into an active noise reduction algorithm to obtain inverse noise information; A speaker of the vehicle is controlled to emit sound based on the anti-phase noise information to perform noise reduction processing.

9. The vehicle noise reduction method according to claim 7, characterized in that: The vehicle comprises at least two noise measuring areas, each noise measuring area comprising at least two different noise measuring devices.

10. The vehicle noise reduction method according to claim 7, characterized in that: The target noise measuring device information includes at least one of an installation location, a device type, and a device identification.

11. The vehicle noise reduction method according to claim 7, characterized in that: The at least two different noise measuring devices differ in at least one of installation location and device type.

12. The vehicle noise reduction method according to claim 11, characterized in that: The device type includes at least one of an acceleration sensor, a vibration sensor, and a microphone sensor.

13. The vehicle noise reduction method according to any one of claims 1 to 12, characterized in that: The method further comprises: The step of determining the target noise reduction parameter according to the driving environment information of the vehicle is performed at preset time intervals.

14. The vehicle noise reduction method according to any one of claims 1 to 12, characterized in that: The method further comprises: If the driving speed of the vehicle exceeds a preset speed, the step of determining the target noise reduction parameter according to the driving environment information of the vehicle is performed.

15. An electronic device, characterized in that: Applied to a vehicle, the electronic device comprises: A determination unit, used to determine a target noise reduction parameter according to the driving environment information of the vehicle; The noise reduction unit is used to perform noise reduction processing according to the target noise reduction parameter.

16. An electronic device, characterized in that: The invention comprises a processor, wherein the processor is connected to a memory, wherein the memory stores a computer program, and wherein the processor is used to run the computer program in the memory to execute the vehicle noise reduction method according to any one of claims 1 to 14.

17. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the vehicle noise reduction method according to any one of claims 1 to 14 is implemented.

18. A computer program product, characterized in that The method comprises a computer program, wherein the computer program is executed by a processor to implement the vehicle noise reduction method according to any one of claims 1 to 14.

19. A vehicle, characterized in that: Comprising the electronic device as claimed in claim 15 or the electronic equipment as claimed in claim 16.

Images