1. A method for identifying a vehicle wind noise seal weakness, comprising:

carrying out an in-vehicle sound source identification test on the tested vehicle, and determining a sealed weak area;

carrying out wind tunnel test on the weak sealing area to obtain a wind tunnel test result;

and determining the weak sealing component according to the wind tunnel test result.

2. The method for identifying the wind noise seal weakness of the vehicle according to claim 1, wherein the step of performing an in-vehicle sound source identification test on the tested vehicle to determine the seal weakness area comprises the following steps:

scanning the detected vehicle to obtain an in-vehicle model;

determining at least two sound source testing working conditions, and acquiring in-vehicle sound source data of the tested vehicle aiming at each sound source testing working condition, wherein the in-vehicle sound source data comprise component sound source values corresponding to different vehicle component positions;

fusing the sound source data in the vehicle to obtain fused sound source data, and marking the fused sound source data on the vehicle model to form a sound source imaging result in the vehicle;

and determining a sealed weak area according to the imaging result of the sound source in the vehicle.

3. The method for identifying the wind noise seal weakness of the vehicle according to claim 2, wherein the step of fusing the data of each in-vehicle sound source to obtain fused sound source data and marking the fused sound source data on the in-vehicle model to form an in-vehicle sound source imaging result comprises the following steps:

traversing each in-vehicle sound source data, and determining the position of a related vehicle part in each in-vehicle sound source data as an imaging position;

determining the component sound source value with the maximum value corresponding to each imaging position as an imaging value;

and marking the imaging numerical values at corresponding positions of the in-vehicle model to form in-vehicle sound source imaging results.

4. The method for identifying the wind noise seal weakness of the vehicle according to claim 3, wherein the determining the seal weak area according to the imaging result of the in-vehicle sound source comprises the following steps:

carrying out region division on the in-vehicle model according to a preset region division rule to obtain a vehicle candidate region;

determining, for each vehicle candidate region, whether there is an imaging position satisfying a seal weak condition within the vehicle candidate region based on the imaging value;

and if so, determining the vehicle candidate region as a sealing weak region.

5. The method for identifying the vehicle wind noise seal weakness according to claim 1, wherein the wind tunnel test is performed on the seal weakness area to obtain a wind tunnel test result, and the method comprises the following steps:

splitting the components of the seal weak area according to a preset component splitting rule to obtain a seal weak alternative component;

respectively carrying out wind tunnel tests on the sealed weak alternative components to determine the wind noise contribution of the sealed weak alternative components;

and sequencing the contribution amounts of the wind noise degrees to obtain a wind tunnel test result.

6. The method for identifying the wind noise seal weakness of the vehicle according to claim 5, wherein the wind tunnel test is respectively carried out on each weak seal candidate component, and the wind noise volume contribution of each weak seal candidate component is determined, and the method comprises the following steps:

acquiring a reference wind noise loudness value of the detected vehicle under the whole vehicle sealing working condition;

respectively carrying out wind tunnel tests on the alternative components with weak sealing to obtain component wind noise response values corresponding to the alternative components with weak sealing;

and taking the difference value of each part wind noise degree value and the reference wind noise degree value as the wind noise degree contribution amount.

7. The method for identifying the wind noise seal weakness of the vehicle according to claim 5, wherein the step of determining the seal weak part according to the wind tunnel test result comprises the following steps:

and acquiring a contribution amount threshold value, determining the wind noise volume contribution amount larger than the contribution amount threshold value in the wind tunnel test result as a seal weak contribution amount, and determining the seal weak candidate component corresponding to the seal weak contribution amount as a seal weak component.

8. An apparatus for identifying a wind noise seal weakness in a vehicle, comprising:

the sealing weak area determining module is used for carrying out an in-vehicle sound source identification test on the detected vehicle and determining a sealing weak area;

the wind tunnel test result determining module is used for performing a wind tunnel test on the weak sealing area to obtain a wind tunnel test result;

and the weak sealing component determining module is used for determining the weak sealing component according to the wind tunnel test result.

9. An apparatus for identifying a wind noise seal weakness in a vehicle, the apparatus comprising:

one or more processors;

a memory for storing one or more programs;

the distance measuring sensor is used for acquiring distance data of the parts in the vehicle to form a model in the vehicle;

the microphone spherical array is used for acquiring sound source data in the vehicle;

the wind tunnel device is used for simulating the running condition of the vehicle;

when executed by the one or more processors, cause the one or more processors to implement a method of identifying vehicle wind noise seal vulnerabilities as recited in any of claims 1-7.

10. A storage medium containing computer executable instructions for performing the method of identifying vehicle wind noise seal weaknesses of any of claims 1-7 when executed by a computer processor.

Background

Noise, vibration and harshness (NVH) is a comprehensive measure of the quality of a manufactured vehicle, and gives the vehicle user the most immediate and superficial experience. The NVH problem of vehicles is one of the concerns of various large vehicle manufacturing enterprises and component enterprises in the international automotive industry. Statistics show that 1/3 failure problem of the whole automobile is related to NVH problem of the automobile, and nearly 20% of research and development cost of each large automobile company is consumed for solving the NVH problem of the automobile.

With the development of the automobile industry, the requirement of consumers on the NVH performance of vehicles is higher and higher, especially the performance of the sealing and sound insulation of the vehicles. The good sound insulation performance of the whole automobile can create a comfortable driving environment, effectively reduce the fatigue of long-distance drivers, optimize the driving experience and improve the market competitiveness of automobile products.

Currently, the wind noise sealing performance of a vehicle is mainly evaluated through a wind tunnel test. During testing, vehicle preparation is firstly carried out, a large area of the front wall part of the vehicle is covered and leveled by an adhesive tape, all parts with gaps except the chassis are sealed by the adhesive tape, and the parts are used as basic working conditions to carry out acoustic testing on the parts, so that the external ear loudness value of a driver is obtained; and then sequentially removing the adhesive tape at the sealing position of each system according to the divided sealing systems on the basis of the basic working condition, carrying out corresponding test, sealing each subsystem by using the adhesive tape after the test is finished, and analyzing to obtain the weak point part of the whole vehicle seal after all the subsystems are tested. The method needs to stick adhesive tapes on the vehicle subsystems one by one, tear the adhesive tapes and test repeatedly, and not only is time-consuming and low in efficiency, but also is high in test cost under the condition that domestic wind tunnel resources are in shortage. How to rapidly identify the sealing weakness of the vehicle so as to carry out targeted optimization, solve the sealing problem of the whole vehicle at the lowest cost and realize cost reduction and efficiency improvement becomes a problem which needs to be solved urgently by various automobile manufacturers.

Disclosure of Invention

The invention provides a method, a device, equipment and a medium for identifying a vehicle wind noise sealing weakness, which are used for quickly and accurately identifying the vehicle sealing weakness.

In a first aspect, an embodiment of the present invention provides a method for identifying a wind noise seal weakness of a vehicle, including:

carrying out an in-vehicle sound source identification test on the tested vehicle, and determining a sealed weak area;

carrying out wind tunnel test on the weak sealing area to obtain a wind tunnel test result;

and determining the weak sealing component according to the wind tunnel test result.

Optionally, the performing an in-vehicle sound source identification test on the vehicle to be tested to determine a sealed weak area includes:

scanning the detected vehicle to obtain an in-vehicle model;

determining at least two sound source testing working conditions, and acquiring in-vehicle sound source data of the tested vehicle aiming at each sound source testing working condition, wherein the in-vehicle sound source data comprise component sound source values corresponding to different vehicle component positions;

fusing the sound source data in the vehicle to obtain fused sound source data, and marking the fused sound source data on the vehicle model to form a sound source imaging result in the vehicle;

and determining a sealed weak area according to the imaging result of the sound source in the vehicle.

Optionally, the method of fusing the in-vehicle sound source data to obtain fused sound source data and marking the fused sound source data on the in-vehicle model to form an in-vehicle sound source imaging result includes:

traversing each in-vehicle sound source data, and determining the position of a related vehicle part in each in-vehicle sound source data as an imaging position;

determining the component sound source value with the maximum value corresponding to each imaging position as an imaging value;

and marking the imaging numerical values at corresponding positions of the in-vehicle model to form in-vehicle sound source imaging results.

Optionally, the determining a sealed weak area according to the imaging result of the in-vehicle sound source includes:

carrying out region division on the in-vehicle model according to a preset region division rule to obtain a vehicle candidate region;

determining, for each vehicle candidate region, whether there is an imaging position satisfying a seal weak condition within the vehicle candidate region based on the imaging value;

and if so, determining the vehicle candidate region as a sealing weak region.

Optionally, the wind tunnel test is performed on the seal weak area to obtain a wind tunnel test result, and the wind tunnel test result includes:

splitting the components of the seal weak area according to a preset component splitting rule to obtain a seal weak alternative component;

respectively carrying out wind tunnel tests on the sealed weak alternative components to determine the wind noise contribution of the sealed weak alternative components;

and sequencing the contribution amounts of the wind noise degrees to obtain a wind tunnel test result.

Optionally, the performing a wind tunnel test on each candidate component with weak seal respectively to determine a wind noise contribution of each candidate component with weak seal includes:

acquiring a reference wind noise loudness value of the detected vehicle under the whole vehicle sealing working condition;

respectively carrying out wind tunnel tests on the alternative components with weak sealing to obtain component wind noise response values corresponding to the alternative components with weak sealing;

and taking the difference value of each part wind noise degree value and the reference wind noise degree value as the wind noise degree contribution amount.

Optionally, the determining a weak sealing component according to the wind tunnel test result includes:

and acquiring a contribution amount threshold value, determining the wind noise volume contribution amount larger than the contribution amount threshold value in the wind tunnel test result as a seal weak contribution amount, and determining the seal weak candidate component corresponding to the seal weak contribution amount as a seal weak component.

In a second aspect, an embodiment of the present invention further provides an apparatus for identifying a wind noise seal weakness of a vehicle, including:

the sealing weak area determining module is used for carrying out an in-vehicle sound source identification test on the detected vehicle and determining a sealing weak area;

the wind tunnel test result determining module is used for performing a wind tunnel test on the weak sealing area to obtain a wind tunnel test result;

and the weak sealing component determining module is used for determining the weak sealing component according to the wind tunnel test result.

In a third aspect, an embodiment of the present invention further provides an apparatus for identifying a wind noise seal weakness of a vehicle, where the apparatus includes:

one or more processors;

a memory for storing one or more programs;

the distance measuring sensor is used for acquiring distance data of the parts in the vehicle to form a model in the vehicle;

the microphone spherical array is used for acquiring sound source data in the vehicle;

the wind tunnel device is used for simulating the running condition of the vehicle;

when executed by the one or more processors, cause the one or more processors to implement a method of identifying vehicle wind noise seal vulnerabilities as described in any embodiment of the invention.

In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer executable instructions, which when executed by a computer processor, are used to perform a method for identifying vehicle wind noise seal weaknesses according to any of the embodiments of the present invention.

According to the method, the weak sealing area is determined by performing in-vehicle sound source identification test on the detected vehicle, the wind tunnel test is performed on the weak sealing area to obtain a wind tunnel test result, and the weak sealing part is determined according to the wind tunnel test result, so that the problems of low time consumption efficiency and high test cost caused by the fact that all parts with gaps of the whole vehicle need to be sealed by adhesive tapes and are sealed after being torn off and tested in sequence when the wind noise sealing performance of the vehicle is evaluated by the wind tunnel test at present are solved.

Drawings

Fig. 1 is a flowchart of a method for identifying a wind noise seal weakness of a vehicle according to an embodiment of the present invention;

fig. 2 is a flowchart of a method for identifying a wind noise seal weakness of a vehicle according to a second embodiment of the present invention;

fig. 3 is a block diagram of a device for identifying a wind noise seal weakness of a vehicle according to a third embodiment of the present invention;

fig. 4 is a block diagram of a device for identifying a wind noise seal weakness of a vehicle according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be noted that, for convenience of description, only a part of the structures related to the present invention, not all of the structures, are shown in the drawings, and furthermore, embodiments of the present invention and features of the embodiments may be combined with each other without conflict.

Example one

Fig. 1 is a flowchart of a method for identifying a vehicle wind noise seal weakness according to an embodiment of the present invention, which may be implemented by a device for identifying a vehicle wind noise seal weakness, and the device may be implemented by software and/or hardware.

As shown in fig. 1, the method specifically includes the following steps:

and 110, carrying out an in-vehicle sound source identification test on the detected vehicle, and determining a sealed weak area.

In this embodiment, a scanning device or a ranging sensor, and a spherical array with microphones may be arranged inside the vehicle. When a vehicle is placed in a wind tunnel for wind noise vehicle interior sound source identification testing, the vehicle structure can be scanned through scanning equipment or a distance measuring sensor, and vehicle interior sound source data are collected through a microphone spherical array.

Specifically, a vehicle is placed in a wind tunnel to perform wind noise vehicle interior sound source identification test, vehicle interior sound source data are collected, the vehicle interior sound source data are analyzed, the sealing performance of each part of the vehicle can be visually displayed in modes of drawing a cloud picture of an acoustic imaging result and the like, and a region with weak sealing performance is marked and determined to be a weak sealing region.

And 120, performing a wind tunnel test on the weak sealing area to obtain a wind tunnel test result.

In this embodiment, the wind tunnel test is mainly performed for a weak sealing area, and in an actual application scenario, the whole vehicle may be sealed first, that is, a large area of the front wall of the vehicle is covered with an adhesive tape and smoothed, and all the parts having a gap except the chassis of the vehicle are sealed with the adhesive tape. The vehicle can be fixed on a wind tunnel turntable, digital simulation persons with standard human bodies are respectively placed at a main driving position, a secondary driving position, a rear row left passenger seat position and a rear row right passenger seat position, and the digital simulation persons are connected with a signal cable of the whole test system. Before the wind tunnel test is carried out on the sealed weak area, a system power supply can be closed, a test circuit is preheated, the background noise in the vehicle is tested when no air flow exists, whether a digital simulator works normally or not is checked, and a reliable noise ratio signal is ensured to be obtained.

When the wind tunnel test is carried out on the weak sealing area, the adhesive tape sealed on the vehicle component to be tested is torn off, then the wind tunnel test is carried out, and wind noise test data are collected. Vehicle components in the sealed weak area can be sequentially selected as test objects, and all the vehicle components in the sealed weak area are tested to obtain a wind tunnel test result.

And step 130, determining the weak sealing part according to the wind tunnel test result.

Specifically, a sealing reference datum may be preset, if test result data obtained by testing a certain component of the vehicle is better than the sealing reference datum, the sealing performance of the component of the vehicle may be considered to be good, otherwise, the sealing performance of the component of the vehicle is considered to be not good, the component of the vehicle is determined to be a weak sealing component, and a detector is prompted to perform registration check. If necessary, the weak sealing part can be detected again in a secondary detection or replacement detection mode so as to accurately position the sealing problem.

According to the technical scheme, the method comprises the steps of determining a sealed weak area through an in-vehicle sound source identification test of a detected vehicle, carrying out a wind tunnel test on the sealed weak area to obtain a wind tunnel test result, determining a sealed weak part according to the wind tunnel test result, solving the problems that when the wind tunnel test is used for evaluating the wind noise sealing performance of the vehicle at present, all parts with gaps of the whole vehicle need to be sealed by using adhesive tapes, tearing off the parts in sequence for testing and then sealing, and accordingly time consuming, low efficiency and high test cost are caused.

Example two

Fig. 2 is a flowchart of a method for identifying a wind noise seal weakness of a vehicle according to a second embodiment of the present invention. On the basis of the embodiment, the method for identifying the wind noise sealing weakness of the vehicle is further optimized.

As shown in fig. 2, the method specifically includes:

and step 210, scanning the detected vehicle to obtain an in-vehicle model.

Specifically, the backrest of the front row seat of the vehicle can be adjusted backwards, the vehicle window and the rear windshield are guaranteed not to be shielded by the seat, the scanning camera or the infrared distance measuring sensor is arranged at the middle position in the vehicle, after the vehicle is installed, the vehicle window, the front windshield and the rear windshield are shielded by light-color shielding cloth such as vehicle clothes, scanning points and distances are set, the camera is automatically checked firstly, the three-dimensional model is scanned, and the three-dimensional model data in the vehicle is obtained after the scanning is completed.

And step 220, determining at least two sound source testing working conditions, and acquiring in-vehicle sound source data of the tested vehicle according to each sound source testing working condition.

The in-vehicle sound source data may include component sound source values corresponding to different vehicle component positions.

Specifically, different wind speeds and different vehicle yaw angles can be set as different sound source test working conditions for testing, for example, three setting conditions of 100m/s, 120m/s and 140m/s exist for the wind speeds, five setting conditions of 0 degree, 10 degrees and 20 degrees exist for the vehicle yaw angles, that is, 15 different sound source test working conditions can exist for different wind speeds and different vehicle yaw angle arrangement combinations. And aiming at each sound source test working condition, carrying out a primary in-vehicle sound source identification test and collecting a group of in-vehicle sound source data. The data acquisition time for each acoustic source test condition may also be preset, for example, to 10 s.

And step 230, fusing the sound source data in each vehicle to obtain fused sound source data, and marking the fused sound source data on the vehicle model to form a vehicle sound source imaging result.

Specifically, because the time of the result data processing of the sound source positioning is long, the vehicle can be driven out of the wind tunnel laboratory for data processing after the in-vehicle sound source identification test is finished, so that the wind tunnel resource is not occupied. The data processing can adopt A weighting, and the frequency resolution can adopt 10 HZ. The in-vehicle sound source data collected under each sound source test condition can be fused to obtain fused sound source data, and the fused sound source data are marked on the in-vehicle model to form an in-vehicle sound source imaging result.

Optionally, step 230 may be implemented by:

step 2301, traversing each in-vehicle sound source data, and determining a position of a related vehicle component in each in-vehicle sound source data as an imaging position.

Specifically, the position coordinates of the sound source on the vehicle can be obtained through analysis and calculation according to the sound source data in the vehicle. The sound source positions finally analyzed by the in-vehicle sound source data acquired under each different sound source testing working condition may have differences, and in order to avoid missing detection of the sealing weak part, the positions of the vehicle parts related to all the in-vehicle sound source data can be determined as imaging positions.

And 2302, determining the component sound source value with the maximum value corresponding to the imaging position as the imaging value according to each imaging position.

Specifically, for each imaging position, a component sound source value corresponding to the imaging position in each in-vehicle sound source data may be acquired, and the component sound source value having the largest value is determined as the imaging value. In this embodiment, the larger the component sound source value is, the poorer the sealing performance of the corresponding vehicle component position can be represented, that is, the data of the worst test effect of each vehicle component position in all sound source test conditions is displayed during imaging.

And 2303, marking the imaging values at corresponding positions of the in-vehicle model to form in-vehicle sound source imaging results.

Specifically, each imaging position can be found on the in-vehicle model, and the imaging numerical value corresponding to each imaging position is marked on the in-vehicle model, so that an in-vehicle sound source imaging result is formed.

And 240, determining a sealing weak area according to the imaging result of the sound source in the vehicle.

In the present exemplary embodiment, the region of weakness of the seal can be understood as the approximate region in which the vehicle component is to be sealed in a weaker manner. Specifically, through the sound source imaging result in the vehicle, the position of the area with weak sealing can be determined visually, namely the area where the imaging position with poor imaging value is located can be determined as the area with weak sealing.

Optionally, step 240 may be implemented by:

step 2401, performing region division on the in-vehicle model according to a preset region division rule to obtain a vehicle candidate region.

Specifically, the in-vehicle model may be subjected to region division according to a preset region division rule, and the vehicle may be divided into a plurality of vehicle candidate regions.

Step 2402, determining whether imaging positions meeting a sealing weak condition exist in the vehicle candidate region or not based on the imaging numerical value for each vehicle candidate region.

Specifically, for each vehicle candidate region, imaging values in the vehicle candidate region may be traversed, and if the imaging values in the vehicle candidate region all show a better sealing condition, it may be determined that the vehicle component sealing condition in the vehicle candidate region is better, and no further testing is required. And when the imaging value in the vehicle candidate region has the maximum value, it indicates that the vehicle component has poor sealing performance in the vehicle candidate region, that is, an imaging position satisfying a weak sealing condition exists in the vehicle candidate region, and at this time, step 2403 may be performed.

Step 2403, determining the vehicle candidate area as a seal weak area.

Specifically, when there is an imaging position satisfying the seal weak condition within the vehicle candidate region, the vehicle candidate region may be determined as the seal weak region.

And 250, splitting the component of the seal weak area according to a preset component splitting rule to obtain a seal weak candidate component.

Specifically, since the weak sealing area determined by the in-vehicle sound source identification test is a sheet-shaped area with sound leakage, in order to identify a specific poor sealing position from the area, the weak sealing area needs to be subjected to component splitting according to a preset component splitting rule to obtain a weak sealing candidate component, so that accurate identification can be continuously performed and problematic parts can be locked.

And step 260, respectively carrying out wind tunnel tests on the sealed weak candidate components, and determining the wind noise contribution of the sealed weak candidate components.

Specifically, the verification outline can be written according to a subsystem wind noise loudness contribution method in a wind tunnel test, wherein the subsystem loudness contribution method only needs to pay attention to a sealed weak area at a mark, and is a small subsystem contribution test model. And respectively carrying out wind tunnel tests on the sealed weak alternative components, collecting related data, and determining the wind noise volume contribution of the sealed weak alternative components.

Optionally, step 260 may be implemented by:

and step 2601, acquiring a reference wind noise loudness value of the detected vehicle under the whole vehicle sealing working condition.

Specifically, the whole vehicle can be sealed, the vehicle is fixed on a wind tunnel turntable for wind tunnel testing, and the collected data is used as a reference wind noise loudness value.

And step 2602, respectively carrying out wind tunnel tests on the sealed weak alternative components to obtain component wind noise values corresponding to the sealed weak alternative components.

Specifically, the sealing weak spare parts can be selected in sequence to serve as test objects, the sealing adhesive tapes on the sealing weak spare parts are torn off to conduct wind tunnel test, and the wind noise degree values of the parts are collected.

And step 2603, taking the difference value between the wind noise loudness values of the components and the reference wind noise loudness value as the wind noise loudness contribution amount.

Specifically, the difference between the wind noise value of each component and the reference wind noise value is made, and the difference is recorded as the wind noise contribution amount of the corresponding weak sealed candidate component.

And 270, sequencing the contribution amounts of the wind noise degrees to obtain a wind tunnel test result.

Specifically, the wind noise contribution amounts can be sequenced from large to small to obtain a wind tunnel test result.

And step 280, acquiring a contribution threshold, determining the wind noise contribution amount larger than the contribution threshold in the wind tunnel test result as a seal weak contribution amount, and determining the seal weak candidate component corresponding to the seal weak contribution amount as a seal weak component.

Specifically, a preset contribution amount threshold value is obtained, each wind noise contribution amount is compared with the contribution amount threshold value, the wind noise contribution amounts larger than the contribution amount threshold value are marked and determined as a weak seal contribution amount, the weak seal contribution amount can reflect that the corresponding weak seal candidate component has poor sealability, and therefore the weak seal candidate component corresponding to the weak seal contribution amount is determined as a weak seal component, and a detector is prompted to perform registration check.

The technical scheme of the embodiment includes that an in-vehicle model is obtained by scanning a tested vehicle, in-vehicle sound source data of the tested vehicle are collected under at least two sound source testing working conditions, the in-vehicle sound source data are fused to obtain fused sound source data and are marked on the in-vehicle model to form an in-vehicle sound source imaging result, so that a sealed weak area is determined, and then, splitting the components of the weak sealing area according to a preset component splitting rule to obtain weak sealing alternative components, respectively carrying out wind tunnel test on each weak sealing alternative component, determining the wind noise volume contribution of each weak sealing alternative component, obtaining a wind tunnel test result, determining the wind noise volume contribution larger than a contribution threshold value in the wind tunnel test result as weak sealing contribution, and determining the weak sealing alternative component corresponding to the weak sealing contribution as the weak sealing component. According to the embodiment of the invention, the weak vehicle sealing area is preliminarily screened out through the vehicle internal sound source identification test, and the wind tunnel test is carried out on the weak vehicle sealing area, so that the problems of low time consumption, low efficiency and high test cost caused by sealing all parts with gaps of the whole vehicle by using adhesive tapes and sequentially tearing off and then sealing the parts after the test when the wind noise sealing performance of the vehicle is evaluated through the wind tunnel test at present are solved, the weak vehicle sealing point can be quickly identified, the pointed test is carried out in a targeted manner, the whole vehicle sealing problem is solved at the lowest cost, and the effects of reducing cost and improving efficiency are realized.

EXAMPLE III

The device for identifying the vehicle wind noise sealing weakness provided by the embodiment of the invention can execute the method for identifying the vehicle wind noise sealing weakness provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. Fig. 3 is a block diagram of a device for identifying a wind noise seal weakness of a vehicle according to a third embodiment of the present invention, and as shown in fig. 3, the device includes: a seal weak area determination module 310, a wind tunnel test result determination module 320 and a seal weak part determination module 330.

And the sealing weak area determining module 310 is used for performing an in-vehicle sound source identification test on the vehicle to be tested and determining the sealing weak area.

And the wind tunnel test result determining module 320 is used for performing a wind tunnel test on the weak sealing area to obtain a wind tunnel test result.

And the weak sealing component determining module 330 is configured to determine a weak sealing component according to the wind tunnel test result.

According to the technical scheme, the method comprises the steps of determining a sealed weak area through an in-vehicle sound source identification test of a detected vehicle, carrying out a wind tunnel test on the sealed weak area to obtain a wind tunnel test result, determining a sealed weak part according to the wind tunnel test result, solving the problems that when the wind tunnel test is used for evaluating the wind noise sealing performance of the vehicle at present, all parts with gaps of the whole vehicle need to be sealed by using adhesive tapes, tearing off the parts in sequence for testing and then sealing, and accordingly time consuming, low efficiency and high test cost are caused.

Optionally, the module 310 for determining a seal weak area includes:

the in-vehicle model building unit is used for scanning the detected vehicle to obtain an in-vehicle model;

the system comprises an in-vehicle sound source data acquisition unit, a data acquisition unit and a data acquisition unit, wherein the in-vehicle sound source data acquisition unit is used for determining at least two sound source test working conditions and acquiring in-vehicle sound source data of a tested vehicle aiming at each sound source test working condition, and the in-vehicle sound source data comprises component sound source values corresponding to different vehicle component positions;

the sound source imaging result determining unit is used for fusing the sound source data in the vehicle to obtain fused sound source data and marking the fused sound source data on the vehicle model to form a sound source imaging result in the vehicle;

and the sealing weak area determining unit is used for determining the sealing weak area according to the imaging result of the sound source in the vehicle.

Optionally, the sound source imaging result determining unit is specifically configured to:

traversing each in-vehicle sound source data, and determining the position of a related vehicle part in each in-vehicle sound source data as an imaging position;

determining the component sound source value with the maximum value corresponding to each imaging position as an imaging value;

and marking the imaging numerical values at corresponding positions of the in-vehicle model to form in-vehicle sound source imaging results.

Optionally, the seal weak area determining unit is specifically configured to:

carrying out region division on the in-vehicle model according to a preset region division rule to obtain a vehicle candidate region;

determining, for each vehicle candidate region, whether there is an imaging position satisfying a seal weak condition within the vehicle candidate region based on the imaging value;

and if so, determining the vehicle candidate region as a sealing weak region.

Optionally, the wind tunnel test result determining module 320 includes:

the sealing weak candidate component determining unit is used for splitting the sealing weak area according to a preset component splitting rule to obtain a sealing weak candidate component;

the wind noise contribution amount determining unit is used for respectively carrying out wind tunnel tests on the weak seal candidate components and determining the wind noise contribution amount of the weak seal candidate components;

and the wind tunnel test result determining unit is used for sequencing the wind noise contribution amounts to obtain a wind tunnel test result.

Optionally, the wind noise contribution amount determining unit is specifically configured to:

acquiring a reference wind noise loudness value of the detected vehicle under the whole vehicle sealing working condition;

respectively carrying out wind tunnel tests on the alternative components with weak sealing to obtain component wind noise response values corresponding to the alternative components with weak sealing;

and taking the difference value of each part wind noise degree value and the reference wind noise degree value as the wind noise degree contribution amount.

Optionally, the module 330 for determining a weak sealing component is specifically configured to:

and acquiring a contribution amount threshold value, determining the wind noise volume contribution amount larger than the contribution amount threshold value in the wind tunnel test result as a seal weak contribution amount, and determining the seal weak candidate component corresponding to the seal weak contribution amount as a seal weak component.

The technical scheme of the embodiment includes that an in-vehicle model is obtained by scanning a tested vehicle, in-vehicle sound source data of the tested vehicle are collected under at least two sound source testing working conditions, the in-vehicle sound source data are fused to obtain fused sound source data and are marked on the in-vehicle model to form an in-vehicle sound source imaging result, so that a sealed weak area is determined, and then, splitting the components of the weak sealing area according to a preset component splitting rule to obtain weak sealing alternative components, respectively carrying out wind tunnel test on each weak sealing alternative component, determining the wind noise volume contribution of each weak sealing alternative component, obtaining a wind tunnel test result, determining the wind noise volume contribution larger than a contribution threshold value in the wind tunnel test result as weak sealing contribution, and determining the weak sealing alternative component corresponding to the weak sealing contribution as the weak sealing component. According to the embodiment of the invention, the weak vehicle sealing area is preliminarily screened out through the vehicle internal sound source identification test, and the wind tunnel test is carried out on the weak vehicle sealing area, so that the problems of low time consumption, low efficiency and high test cost caused by sealing all parts with gaps of the whole vehicle by using adhesive tapes and sequentially tearing off and then sealing the parts after the test when the wind noise sealing performance of the vehicle is evaluated through the wind tunnel test at present are solved, the weak vehicle sealing point can be quickly identified, the pointed test is carried out in a targeted manner, the whole vehicle sealing problem is solved at the lowest cost, and the effects of reducing cost and improving efficiency are realized.

Example four

Fig. 4 is a block diagram illustrating a vehicle wind noise seal weakness identification apparatus according to a fourth embodiment of the present invention, and as shown in fig. 4, the vehicle wind noise seal weakness identification apparatus includes a processor 410, a memory 420, a distance measuring sensor 430, a microphone ball array 440, and a wind tunnel device 450; the number of processors 410 in the device for identifying the wind noise sealing weakness of the vehicle can be one or more, and one processor 410 is taken as an example in fig. 4; the processor 410, memory 420, ranging sensor 430, microphone ball array 440, and wind tunnel device 450 in the vehicle wind noise seal vulnerability identification apparatus may be connected by a bus or other means, as exemplified by the bus connection in fig. 4.

The memory 420 serves as a computer readable storage medium for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to the method for identifying a vehicle wind noise seal weakness according to the embodiment of the present invention (for example, the seal weak area determination module 310, the wind tunnel test result determination module 320, and the seal weak part determination module 330 in the vehicle wind noise seal weakness identification apparatus). The processor 410 executes various functional applications of the apparatus for identifying a vehicle wind noise seal weakness and data processing, that is, implements the above-described method for identifying a vehicle wind noise seal weakness by executing software programs, instructions, and modules stored in the memory 420.

The memory 420 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 420 may further include memory located remotely from processor 410, which may be connected over a network to a vehicle wind noise seal vulnerability identification device. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

Range sensor 430 can be used for gathering the interior part apart from data of car, forms the interior model of car, and in the practical application scene, range sensor 430 can be scanning camera or infrared range sensor. The microphone spherical array 440 may be used to collect in-vehicle sound source data. The wind tunnel device 450 may be used to simulate the driving conditions of a vehicle. In an actual application scenario, the distance measuring sensor 430 may be disposed at a middle position in a vehicle, the distance data of the vehicle interior components is collected and then taken out, the microphone spherical array 440 is disposed in the vehicle, and the vehicle is placed in the wind tunnel device 450 for wind noise vehicle interior sound source identification test.

EXAMPLE five

Embodiments of the present invention also provide a storage medium containing computer-executable instructions which, when executed by a computer processor, perform a method for identifying vehicle wind noise seal weaknesses, the method comprising:

carrying out an in-vehicle sound source identification test on the tested vehicle, and determining a sealed weak area;

carrying out wind tunnel test on the weak sealing area to obtain a wind tunnel test result;

and determining the weak sealing component according to the wind tunnel test result.

Of course, the embodiment of the present invention provides a storage medium containing computer executable instructions, and the computer executable instructions are not limited to the operations of the method described above, and can also perform related operations in the method for identifying the wind noise sealing weakness of the vehicle provided by any embodiment of the present invention.

From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.

It should be noted that, in the embodiment of the device for identifying the wind noise sealing weakness of the vehicle, the included units and modules are only divided according to the functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.