CN111366375A - Vehicle noise and vibration diagnostic method and system based on audio and image processing - Google Patents
Vehicle noise and vibration diagnostic method and system based on audio and image processing Download PDFInfo
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- CN111366375A CN111366375A CN202010149066.2A CN202010149066A CN111366375A CN 111366375 A CN111366375 A CN 111366375A CN 202010149066 A CN202010149066 A CN 202010149066A CN 111366375 A CN111366375 A CN 111366375A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
Abstract
The invention provides a vehicle noise and vibration diagnosis method and system based on audio and image processing, comprising the following steps: obtaining a vibration test video of a vehicle to be diagnosed; respectively extracting audio information in the vibration test video and image information in the vibration test video; obtaining noise information of the vehicle to be diagnosed based on the audio information; the noise information includes at least one of: main frequency of noise and size of noise; obtaining vibration information of the diagnostic vehicle based on the image information; the vibration information includes at least one of: vibration displacement, vibration velocity, vibration acceleration; and diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result. The invention solves the technical problems of complex test equipment arrangement and high cost in the prior art.
Description
Technical Field
The invention relates to the technical field of vehicle diagnosis, in particular to a vehicle noise and vibration diagnosis method and system based on audio and image processing.
Background
Currently, vehicle failures are handled by vehicle companies as many as several hundred annually, and this figure continues to increase as vehicle sales increase. Many of these faults are customer reflected vehicle Noise or vehicle Vibration, and the handling of Noise, Vibration and Harshness (Noise, Vibration, Harshness) problems for vehicles requires measured Noise and Vibration data. However, the existing test equipment is complex in arrangement and high in cost, and cannot meet the requirement of customer service quickly and efficiently.
Disclosure of Invention
In view of the above, the present invention provides a vehicle noise and vibration diagnosis method and system based on audio and image processing, so as to alleviate the technical problems of complicated arrangement and high cost of test equipment in the prior art.
In a first aspect, an embodiment of the present invention provides a vehicle noise and vibration diagnosis method based on audio and image processing, including: obtaining a vibration test video of a vehicle to be diagnosed; respectively extracting audio information in the vibration test video and image information in the vibration test video; obtaining noise information of the vehicle to be diagnosed based on the audio information; the noise information includes at least one of: main frequency of noise and size of noise; obtaining vibration information of the diagnostic vehicle based on the image information; the vibration information includes at least one of: vibration displacement, vibration velocity, vibration acceleration; and diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result.
Further, obtaining a vibration test video of the vehicle to be diagnosed, comprising: and acquiring the vibration test video of the vehicle to be diagnosed through the mobile terminal.
Further, obtaining noise information of the vehicle to be diagnosed based on the audio information includes: filtering the audio information to obtain a first audio; obtaining the noise magnitude of the vehicle to be diagnosed based on the first audio; carrying out Fourier transform operation on the first audio to obtain a second audio; and obtaining the main frequency of the noise of the vehicle to be diagnosed based on the second audio.
Further, obtaining vibration information of the diagnostic vehicle based on the image information includes: determining a first image and a second image from the image information; the first image and the second image are two adjacent images in the image information according to a time sequence; determining the coordinates of the target structure in the first image to obtain first coordinates; the target structure is the structure of the vehicle to be diagnosed in the first image; extracting a feature vector of the target structure; determining the coordinates of the target structure in the second image based on the feature vector to obtain second coordinates; and determining vibration information of the vehicle to be diagnosed based on the first coordinate and the second coordinate.
Further, diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result, including: acquiring preset noise information and preset vibration information; the preset noise information is noise information of a fault-free vehicle, and the preset vibration information is vibration information of the fault-free vehicle; respectively comparing the preset noise information and the preset vibration information with the noise information and the vibration information to obtain comparison results; diagnosing the vehicle to be diagnosed based on the comparison result to obtain a diagnosis result; the diagnostic result includes any one of: no fault, there is a fault.
In a second aspect, an embodiment of the present invention further provides a vehicle noise and vibration diagnosis system based on audio and image processing, including: the system comprises an acquisition module, an extraction module, a first analysis module, a second analysis module and a diagnosis module, wherein the acquisition module is used for acquiring a vibration test video of a vehicle to be diagnosed; the extraction module is used for respectively extracting audio information in the vibration test video and image information in the vibration test video; the first analysis module is used for obtaining the noise information of the vehicle to be diagnosed based on the audio information; the noise information includes at least one of: main frequency of noise and size of noise; the second analysis module is used for obtaining vibration information of the diagnosis vehicle based on the image information; the vibration information includes at least one of: vibration displacement, vibration velocity, vibration acceleration; and the diagnosis module is used for diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result.
Further, the acquisition module comprises a mobile terminal.
Further, the diagnostic module comprises: the device comprises an acquisition unit, a comparison unit and a diagnosis unit, wherein the acquisition unit is used for acquiring preset noise information and preset vibration information; the preset noise information is noise information of a fault-free vehicle, and the preset vibration information is vibration information of the fault-free vehicle; the comparison unit is used for respectively comparing the preset noise information and the preset vibration information with the noise information and the vibration information to obtain a comparison result; the diagnosis unit is used for diagnosing the vehicle to be diagnosed based on the comparison result to obtain a diagnosis result; the diagnostic result includes any one of: no fault, there is a fault.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fourth aspect, the present invention further provides a computer-readable medium having non-volatile program code executable by a processor, where the program code causes the processor to execute the method according to the first aspect.
The invention provides a vehicle noise and vibration diagnosis method and system based on audio and image processing, comprising the following steps: obtaining a vibration test video of a vehicle to be diagnosed; respectively extracting audio information in the vibration test video and image information in the vibration test video; obtaining noise information of the vehicle to be diagnosed based on the audio information; obtaining vibration information of the diagnostic vehicle based on the image information; and finally, diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result. According to the invention, the dependence on professional testing equipment is avoided by processing the acquired vehicle vibration test video, so that the technical problems of complex arrangement and high cost of the testing equipment in the prior art are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for diagnosing vehicle noise and vibration based on audio and image processing according to an embodiment of the present invention;
FIG. 2 is a flow chart of vehicle noise and vibration information analysis provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a vehicle noise and vibration diagnostic system based on audio and image processing according to an embodiment of the present invention;
fig. 4 is a schematic diagram of another vehicle noise and vibration diagnosis system based on audio and image processing according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
fig. 1 is a flowchart of a vehicle noise and vibration diagnosis method based on audio and image processing, which is applied to a computer terminal, according to an embodiment of the present invention. As shown in fig. 1, the method specifically includes the following steps:
and step S102, obtaining a vibration test video of the vehicle to be diagnosed.
Optionally, in the embodiment of the present invention, the vibration test video of the vehicle to be diagnosed may be obtained through a mobile terminal, and the vibration test video of the vehicle to be diagnosed may also be obtained through a video-recordable device, where the mode of obtaining the video is not specifically limited in the present invention. The vibration test video of the vehicle to be diagnosed is the vibration condition video of each part on the vehicle when the vehicle to be diagnosed is started.
And step S104, respectively extracting audio information in the vibration test video and image information in the vibration test video.
Step S106, obtaining noise information of the vehicle to be diagnosed based on the audio information; the noise information includes at least one of: dominant frequency of noise, magnitude of noise.
Step S108, obtaining vibration information of the diagnosis vehicle based on the image information; the vibration information includes at least one of: vibration displacement, vibration velocity, vibration acceleration.
And step S110, diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result. Optionally, the diagnostic result comprises any one of: no fault, there is a fault.
The embodiment of the invention provides a vehicle noise and vibration diagnosis method based on audio and image processing, which comprises the steps of firstly obtaining a vibration test video of a vehicle to be diagnosed, then respectively extracting audio information in the vibration test video and image information in the vibration test video, obtaining noise information of the vehicle to be diagnosed based on the audio information, obtaining vibration information of the vehicle to be diagnosed based on the image information, and finally diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result. According to the invention, the dependence on professional testing equipment is avoided by processing the acquired vehicle vibration test video, so that the technical problems of complex arrangement and high cost of the testing equipment in the prior art are solved.
Specifically, step S106 further includes the steps of:
step S1061, filtering the audio information to obtain a first audio;
step S1062, obtaining the noise of the vehicle to be diagnosed based on the first audio;
step S1063, performing Fourier transform operation on the first audio to obtain a second audio;
and step S1064, obtaining the main frequency of the noise of the vehicle to be diagnosed based on the second audio.
Specifically, step S108 further includes the steps of:
step S1081, determining a first image and a second image from the image information; the first image and the second image are two adjacent images in the image information according to a time sequence;
step S1082, determining coordinates of the target structure in the first image to obtain first coordinates; the target structure is the structure of the vehicle to be diagnosed in the first image;
step S1083, extracting a feature vector of the target structure;
step S1084, determining coordinates of the target structure in the second image based on the feature vector to obtain second coordinates;
step S1085, vibration information of the vehicle to be diagnosed is determined based on the first coordinates and the second coordinates.
In the embodiment of the invention, the obtained vibration test video of the vehicle to be diagnosed is decomposed into audio information and image information, then the audio information is subjected to filtering processing and Fourier transform processing, and then information such as main frequency, power spectrum and the like in the audio information is extracted to obtain noise information of the vehicle to be diagnosed, wherein the noise size can be obtained based on the power spectrum.
Then, the image information is decomposed into a series of pictures arranged according to a time sequence, two images adjacent according to the time sequence are determined from the pictures to be a first image and a second image, a target structure of the vehicle to be diagnosed, which needs to be analyzed, is selected by a user in an interactive mode, then a feature vector of the target structure is extracted, the position or the coordinate of the target structure is determined in the second image based on the feature vector of the target structure, and finally the vibration information of the vehicle to be diagnosed can be obtained according to the position change of the target structure in the front image and the rear image.
Optionally, step S110 further includes the steps of:
step 1101, acquiring preset noise information and preset vibration information; presetting noise information as noise information of a fault-free vehicle, and presetting vibration information as vibration information of the fault-free vehicle;
step S1102, comparing preset noise information and preset vibration information with the noise information and the vibration information respectively to obtain comparison results;
step S1103, diagnosing the vehicle to be diagnosed based on the comparison result to obtain a diagnosis result; the diagnostic result includes any one of: no fault, there is a fault.
In the embodiment of the invention, the noise information and the vibration information of the normal vehicle without faults are compared with the noise information and the fault information of the vehicle to be diagnosed, so that the vehicle to be diagnosed can be rapidly and conveniently subjected to fault diagnosis, and a diagnosis result is obtained.
Optionally, fig. 2 is a flow chart of vehicle noise and vibration information analysis provided according to an embodiment of the invention. As shown in fig. 2, in the embodiment of the present invention, firstly, a video shooting operation is performed on a vehicle to be diagnosed in a vibration test through a smart phone, then, the shot video is sent to a computer through a wireless network, then, the shot video is decomposed through the computer to obtain an audio and an image, then, a feature extraction operation is performed on the audio and the image to obtain noise information and vibration information of the vehicle to be diagnosed, and finally, a noise vibration analysis operation is performed on the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result.
Example two:
fig. 3 is a schematic diagram of a vehicle noise and vibration diagnosis system based on audio and image processing, which is applied to a computer terminal, according to an embodiment of the present invention. As shown in fig. 3, the system includes: an acquisition module 10, an extraction module 20, a first analysis module 30, a second analysis module 40 and a diagnostic module 50.
Specifically, the obtaining module 10 is used for obtaining a vibration test video of the vehicle to be diagnosed. Optionally, the obtaining module 10 includes a mobile terminal and other video recording devices.
And the extracting module 20 is configured to extract audio information in the vibration test video and image information in the vibration test video, respectively.
The first analysis module 30 is used for obtaining noise information of the vehicle to be diagnosed based on the audio information; the noise information includes at least one of: dominant frequency of noise, magnitude of noise.
The second analysis module 40 is used for obtaining vibration information of the diagnosis vehicle based on the image information; the vibration information includes at least one of: vibration displacement, vibration velocity, vibration acceleration.
And the diagnosis module 50 is used for diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result.
The embodiment of the invention provides a vehicle noise and vibration diagnosis system based on audio and image processing, which comprises an acquisition module, a detection module and a display module, wherein the acquisition module acquires a vibration test video of a vehicle to be diagnosed; then, respectively extracting audio information in the vibration test video and image information in the vibration test video through an extraction module; obtaining noise information of the vehicle to be diagnosed based on the audio information through a first analysis module; obtaining vibration information of the diagnostic vehicle based on the image information through a second analysis module; and finally, diagnosing the vehicle to be diagnosed through a diagnosis module based on the noise information and the vibration information to obtain a diagnosis result. According to the invention, the dependence on professional testing equipment is avoided by processing the acquired vehicle vibration test video, so that the technical problems of complex arrangement and high cost of the testing equipment in the prior art are solved.
Alternatively, fig. 4 is a schematic diagram of another audio and image processing based vehicle noise and vibration diagnostic system provided in accordance with an embodiment of the present invention. As shown in fig. 4, the diagnostic module 50 includes: an acquisition unit 51, a comparison unit 52 and a diagnosis unit 53.
Specifically, the acquiring unit 51 is configured to acquire preset noise information and preset vibration information; the preset noise information is noise information of a fault-free vehicle, and the preset vibration information is vibration information of the fault-free vehicle.
The comparing unit 52 is configured to compare the preset noise information and the preset vibration information with the noise information and the vibration information, respectively, to obtain a comparison result.
The diagnosis unit 53 is used for diagnosing the vehicle to be diagnosed based on the comparison result to obtain a diagnosis result; the diagnostic result includes any one of: no fault, there is a fault.
The embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the steps of the method in the first embodiment are implemented.
The embodiment of the invention also provides a computer readable medium with a non-volatile program code executable by a processor, wherein the program code causes the processor to execute the method in the first embodiment.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for vehicle noise and vibration diagnosis based on audio and image processing, comprising:
obtaining a vibration test video of a vehicle to be diagnosed;
respectively extracting audio information in the vibration test video and image information in the vibration test video;
obtaining noise information of the vehicle to be diagnosed based on the audio information; the noise information includes at least one of: main frequency of noise and size of noise;
obtaining vibration information of the diagnostic vehicle based on the image information; the vibration information includes at least one of: vibration displacement, vibration velocity, vibration acceleration;
and diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result.
2. The method of claim 1, wherein obtaining a vibration test video of a vehicle to be diagnosed comprises:
and acquiring the vibration test video of the vehicle to be diagnosed through the mobile terminal.
3. The method of claim 1, wherein obtaining noise information of the vehicle to be diagnosed based on the audio information comprises:
filtering the audio information to obtain a first audio;
obtaining the noise magnitude of the vehicle to be diagnosed based on the first audio;
carrying out Fourier transform operation on the first audio to obtain a second audio;
and obtaining the main frequency of the noise of the vehicle to be diagnosed based on the second audio.
4. The method of claim 1, wherein deriving vibration information of the diagnostic vehicle based on the image information comprises:
determining a first image and a second image from the image information; the first image and the second image are two adjacent images in the image information according to a time sequence;
determining the coordinates of the target structure in the first image to obtain first coordinates; the target structure is the structure of the vehicle to be diagnosed in the first image;
extracting a feature vector of the target structure;
determining the coordinates of the target structure in the second image based on the feature vector to obtain second coordinates;
and determining vibration information of the vehicle to be diagnosed based on the first coordinate and the second coordinate.
5. The method of claim 1, wherein diagnosing the vehicle to be diagnosed based on the noise information and the vibration information, resulting in a diagnostic result, comprises:
acquiring preset noise information and preset vibration information; the preset noise information is noise information of a fault-free vehicle, and the preset vibration information is vibration information of the fault-free vehicle;
respectively comparing the preset noise information and the preset vibration information with the noise information and the vibration information to obtain comparison results;
diagnosing the vehicle to be diagnosed based on the comparison result to obtain a diagnosis result; the diagnostic result includes any one of: no fault, there is a fault.
6. A vehicle noise and vibration diagnostic system based on audio and image processing, comprising: an acquisition module, an extraction module, a first analysis module, a second analysis module and a diagnosis module, wherein,
the acquisition module is used for acquiring a vibration test video of the vehicle to be diagnosed;
the extraction module is used for respectively extracting audio information in the vibration test video and image information in the vibration test video;
the first analysis module is used for obtaining the noise information of the vehicle to be diagnosed based on the audio information; the noise information includes at least one of: main frequency of noise and size of noise;
the second analysis module is used for obtaining vibration information of the diagnosis vehicle based on the image information; the vibration information includes at least one of: vibration displacement, vibration velocity, vibration acceleration;
and the diagnosis module is used for diagnosing the vehicle to be diagnosed based on the noise information and the vibration information to obtain a diagnosis result.
7. The system of claim 6, wherein the acquisition module comprises a mobile terminal.
8. The system of claim 6, wherein the diagnostic module comprises: an acquisition unit, a comparison unit and a diagnosis unit, wherein,
the acquiring unit is used for acquiring preset noise information and preset vibration information; the preset noise information is noise information of a fault-free vehicle, and the preset vibration information is vibration information of the fault-free vehicle;
the comparison unit is used for respectively comparing the preset noise information and the preset vibration information with the noise information and the vibration information to obtain a comparison result;
the diagnosis unit is used for diagnosing the vehicle to be diagnosed based on the comparison result to obtain a diagnosis result; the diagnostic result includes any one of: no fault, there is a fault.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of the preceding claims 1 to 5 are implemented when the computer program is executed by the processor.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1-5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115031994A (en) * | 2022-06-08 | 2022-09-09 | 昆山市易泰汽车科技有限公司 | Vehicle endurance test method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000039382A (en) * | 1998-07-08 | 2000-02-08 | Ford Global Technol Inc | System for diagnosing noise of multi-component assembly |
| KR20130068717A (en) * | 2011-12-16 | 2013-06-26 | 박종현 | Diagnosis and notification system for car safety utilizing the vibration and noise during driving |
| CN106596123A (en) * | 2016-11-22 | 2017-04-26 | 东软集团股份有限公司 | Device fault diagnosis method, device fault diagnosis device, and device fault diagnosis system |
| CN106885627A (en) * | 2015-12-16 | 2017-06-23 | 富士施乐株式会社 | Diagnostic device, diagnostic system and diagnostic method |
| CN108414240A (en) * | 2018-03-15 | 2018-08-17 | 广东工业大学 | A kind of method and apparatus of detection machine abnormal vibrations |
| CN110617973A (en) * | 2019-04-26 | 2019-12-27 | 深圳市豪视智能科技有限公司 | Vibration detection method and related device |
-
2020
- 2020-03-05 CN CN202010149066.2A patent/CN111366375A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000039382A (en) * | 1998-07-08 | 2000-02-08 | Ford Global Technol Inc | System for diagnosing noise of multi-component assembly |
| KR20130068717A (en) * | 2011-12-16 | 2013-06-26 | 박종현 | Diagnosis and notification system for car safety utilizing the vibration and noise during driving |
| CN106885627A (en) * | 2015-12-16 | 2017-06-23 | 富士施乐株式会社 | Diagnostic device, diagnostic system and diagnostic method |
| CN106596123A (en) * | 2016-11-22 | 2017-04-26 | 东软集团股份有限公司 | Device fault diagnosis method, device fault diagnosis device, and device fault diagnosis system |
| CN108414240A (en) * | 2018-03-15 | 2018-08-17 | 广东工业大学 | A kind of method and apparatus of detection machine abnormal vibrations |
| CN110617973A (en) * | 2019-04-26 | 2019-12-27 | 深圳市豪视智能科技有限公司 | Vibration detection method and related device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115031994A (en) * | 2022-06-08 | 2022-09-09 | 昆山市易泰汽车科技有限公司 | Vehicle endurance test method and system |
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Application publication date: 20200703 |