WO2021036637A1 - 齿轮组异常的检测方法及相关产品 - Google Patents

齿轮组异常的检测方法及相关产品 Download PDF

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Publication number
WO2021036637A1
WO2021036637A1 PCT/CN2020/104826 CN2020104826W WO2021036637A1 WO 2021036637 A1 WO2021036637 A1 WO 2021036637A1 CN 2020104826 W CN2020104826 W CN 2020104826W WO 2021036637 A1 WO2021036637 A1 WO 2021036637A1
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target
vibration
vibration data
video
gear set
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PCT/CN2020/104826
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English (en)
French (fr)
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高风波
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深圳市豪视智能科技有限公司
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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
    • G01M13/00—Testing of machine parts
    • G01M13/04—Bearings
    • G01M13/045—Acoustic or vibration analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection

Definitions

  • This application relates to the field of mechanical technology, and in particular to a method for detecting abnormality of a gear set and related products.
  • a gear set refers to a small system formed by combining many gears. There are many gears of different sizes, and all the gears maintain the same rotation speed. Gear sets are mainly used to transmit torque, change speed and change the direction of torque. It is widely used in metallurgical equipment, transmission boxes, etc. Most of the current gear sets are in the equipment, such as the application of gear sets in the shift phase; if there is a fault in the gear set in the gearbox, it is necessary to disassemble the gearbox and find the fault from the multiple gears included in the gear set The gears are more complicated and the detection efficiency is low.
  • the embodiment of the present application provides a method for detecting abnormality of a gear set and related products, in order to improve the failure detection efficiency of the gear set.
  • an embodiment of the present application provides a method for detecting abnormality of a gear set, which is applied to a vibration detection device, and the method includes:
  • vibration data includes at least one of the following: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform;
  • the cause of the abnormality of the target gear set is determined according to the target video and/or the reference vibration data.
  • an embodiment of the present application provides a method and apparatus for detecting abnormality of a gear set, including a processing unit and a communication unit, wherein:
  • the processing unit is configured to obtain the original video of the target gear set in a working state through the communication unit, and process the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect, and the motion amplification effect is Refers to the movement of the area where the target gear set moves in the target video that has been enlarged; and is used to generate reference vibration data of the target gear set according to the target video, the vibration data including the following At least one: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; and used to determine the cause of the abnormality of the target gear set according to the target video and/or the reference vibration data.
  • an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be processed by the above
  • the above-mentioned program includes instructions for executing the steps in any method of the first aspect of the embodiments of the present application.
  • an embodiment of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables a computer to execute In one aspect, part or all of the steps described in any method.
  • the embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute as implemented in this application.
  • the computer program product may be a software installation package.
  • the vibration detection device obtains the original video of the target gear set in the motor vehicle transmission in the working state, and processes the original video according to a preset video processing strategy to obtain a target with a motion amplification effect.
  • Video the motion amplification effect means that the motion situation of the area where the target gear set moves is amplified in the target video;
  • the reference vibration data of the target gear set is generated according to the target video, so
  • the vibration data includes at least one of the following: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; the cause of the abnormality of the target gear set is determined according to the target video and/or the reference vibration data.
  • the vibration detection equipment only needs to obtain the video of the gear set in the working state to analyze and judge the abnormal cause of the gear set.
  • the operation is simple, which reduces the difficulty of detecting the abnormal gear set and improves the efficiency of detecting the abnormal cause of the gear set. .
  • FIG. 1 is a diagram of a detection system for abnormality of a gear set provided by an embodiment of the present application
  • 2A is a schematic flowchart of a method for detecting abnormality of a gear set according to an embodiment of the present application
  • 2B is a schematic diagram of a motor vehicle transmission provided by an embodiment of the present application.
  • FIG. 3 is a schematic flowchart of another method for detecting abnormality of a gear set provided by an embodiment of the present application
  • FIG. 4 is a schematic flowchart of another method for detecting abnormality of a gear set provided by an embodiment of the present application.
  • FIG. 5 is a schematic structural diagram of a vibration detection device provided by an embodiment of the present application.
  • Fig. 6 is a block diagram of functional units of a method for detecting abnormality of a gear set provided by an embodiment of the present application.
  • the vibration detection devices involved in the embodiments of this application may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of user equipment ( User Equipment (UE), mobile station (Mobile Station, MS), terminal device (terminal device), etc.
  • UE User Equipment
  • MS Mobile Station
  • terminal device terminal device
  • FIG. 1 is a diagram of a detection system for abnormality of a gear set provided by an embodiment of the present application.
  • FIG. 1 includes a vibration detection device 100 and a target gear set 110.
  • the vibration detection device 100 includes a data processing and display device 101 and a data acquisition device 102.
  • the data acquisition device 102 When detecting the cause of the abnormality of the target gear set 110, the data acquisition device 102 first acquires the original video of the target gear set 110 in the working state; the data acquisition device 102 sends the original video to the data processing and display device 101, so The data processing and display device 101 obtains a target video for the original video processing according to a preset video processing strategy; the data processing and display device 101 displays the target video on the display screen, and determines the target video according to the user's setting operation
  • the reason for the abnormality of the target gear set 110, or the data processing and display device 101 further processes the target video to obtain the reference vibration data of the target gear set 110 in the working state, and the reference vibration data includes at least one of the following Types: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; the data processing and display device 101 acquires preset vibration data associated with the target gear set 110, and determines the reference vibration data according to the preset vibration data Whether it meets the preset standard; and then determine whether the target gear set
  • the present application proposes a method for detecting abnormality of a gear set, and the embodiments of the present application will be described in detail below.
  • FIG. 2A is a schematic flowchart of a method for detecting abnormality of a gear set according to an embodiment of the present application, which is applied to vibration detection equipment; as shown in the figure, the method for detecting abnormality of a gear set includes:
  • Step 201 The vibration detection device obtains the original video of the target gear set in the working state of the motor vehicle transmission
  • Step 202 The vibration detection device processes the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect;
  • the motion zoom effect means that the motion situation of the area where the target gear set is moving is zoomed in in the target video.
  • Step 203 The vibration detection device generates reference vibration data of the target gear set according to the target video, where the vibration data includes at least one of the following: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform;
  • Step 204 The vibration detection device determines the cause of the abnormality of the target gear set according to the target video and/or the reference vibration data.
  • the target gear set can be a gearbox in a car.
  • the original video of the gearbox working state is collected, and the original video is processed according to a preset video processing strategy to obtain a motion amplification effect.
  • the target video for the target video is analyzed and processed to obtain the reference vibration data of the gearbox, including: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform.
  • the vibration detection device displays the target video on the display screen, judges whether the gearbox is abnormal and the cause of the abnormality in the case where the gearbox is abnormal according to the information entered by the user on the local end, and according to the current transmission of the gearbox Locate the abnormal gear in the gearbox at the target gear position; or, the vibration detection device obtains preset vibration data of the gearbox, and the preset vibration data is based on the normal working state of the gearbox According to the following video processing analysis, it is determined whether the reference vibration data of the gearbox is within the normal range according to the preset vibration data. If not, it is determined that the target gear set is abnormal, and the vibration amplitude and vibration frequency are determined according to the reference vibration data. , The specific one or more abnormal data in the vibration phase and the time-domain waveform determine the cause of the abnormality of the target gear set, and locate the abnormality in the gearbox according to the current target gear position of the gearbox gear.
  • the vibration detection device obtains the original video of the target gear set in the working state, and processes the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect.
  • the motion amplification effect Means that the movement of the area where the target gear set moves is amplified in the target video; the reference vibration data of the target gear set is generated according to the target video, and the vibration data includes at least one of the following Species: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; determine the cause of the abnormality of the target gear set according to the target video and/or the reference vibration data.
  • the vibration detection equipment only needs to obtain the video of the gear set in the working state to analyze and judge the abnormal cause of the gear set.
  • the operation is simple, which reduces the difficulty of detecting the abnormal gear set and improves the efficiency of detecting the abnormal cause of the gear set. .
  • the vibration detection device processes the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect, including: the vibration detection device converts the color space of the original video from a first color space to a first color space. Two color spaces, the first color space and the second color space are different; the motion amplification algorithm is called to process the brightness information in the second color space to obtain the target video, and the motion amplification algorithm may include: Plass motion amplification algorithm, Euler motion amplification algorithm, complex phase motion amplification algorithm.
  • the color space is RGB
  • the target color space is YIQ space
  • the color space conversion algorithm specifically includes:
  • RGB is a color standard in the industry. Various colors are obtained by changing the three color channels of red (R), green (G), and blue (B) and superimposing them with each other. Yes, RGB is the color representing the three channels of red, green, and blue.
  • YIQ is a television system standard (National Television Standards Committee, NTSC).
  • Y is the brightness signal (Luminance) that provides black and white TV and color TV, namely Brightness, which is the information under the brightness in this example; I represents In-phase, the color is from orange to cyan, Q represents Quadrature-phase, and the color is from Purple to yellow-green.
  • the YIQ color space has the advantage of being able to separate and extract the brightness components in the image, and the relationship between the YIQ color space and the RGB color space is linear transformation, the calculation amount is small, and the clustering characteristics are better. Adapt to occasions where the light intensity changes constantly, so it can be effectively used for color image processing. It can be used for the recognition of moving targets in complex backgrounds collected under natural conditions.
  • the motion amplification algorithm includes: a complex phase motion amplification algorithm, and the vibration detection device processes the original video according to a preset video processing strategy to obtain a target video with motion amplification effect, including: acquiring a video of the original video Sequence frame; obtain the brightness information in the sequence frame, perform fast Fourier transform on the brightness information to obtain transformed brightness information, and update the brightness information according to the transformed brightness information to obtain the transformed brightness information
  • Image decomposing the transformed serial frame specifically includes: decomposing the transformed serial frame into a Y-channel image, an I-channel image, and a Q-channel image according to the YIQ space;
  • the Y-channel image performs spatial decomposition to obtain Y-channel images with different spatial resolutions, and the Y-channel images with different spatial resolutions are subjected to time-domain band-pass filtering to obtain the target frequency band, according to the target frequency band and the different spatial resolution
  • the multiple Y channel image signals are determined by the rate of the Y channel image; the multiple Y channel image signals are amp
  • the motion amplification algorithm includes a Laplacian motion amplification algorithm
  • the vibration detection device processes the original video according to a preset video processing strategy to obtain a target video with motion amplification effect including: decomposing the original video into Multi-frame images; determine feature points from the multi-frame images based on preset feature point selection rules; determine the information of the feature points; determine the trajectory of the information of the feature points over time; synthesize and enlarge the feature points The trajectory of the information changes over time to obtain the magnified vibration image; the target video is generated according to the magnified vibration image.
  • the feature point information includes at least one of the following: the location of the feature point in the current image, the coordinate of the feature point in the current image, and the power of the feature point in the current image.
  • determining the feature points from the multi-frame images based on preset feature point selection rules includes: querying the structure information of the transmission according to the model information entered by the user (including the internal connection relationship of the transmission case, the internal connection position, The thickness of the box body and the structure of the box body), determine the H internal connection areas connecting the gear set and the box body in the transmission; generate and obtain the position information of the H internal connection areas according to the structural information of the transmission;
  • the external shape of the transmission case and the structure information determine the H external regions corresponding to the H internal connection regions; determine that every 3 regions of the H external regions are a group, and obtain Group areas; select one point in each of the H outer areas as a reference point, and obtain 3 reference points included in each group of areas; determine a triangle corresponding to each group of areas according to the 3 reference points of each group of areas, and determine The center of gravity of each triangle, and each group of regions corresponds to a center of gravity, we get Center of gravity, determine the One center of gravity is the feature point.
  • the specific step of selecting a point in each of the H external areas as a reference point may be (here described as the first area): using any point in the first area to establish a corresponding point in the first area Rectangular coordinate system; determine the coordinate value corresponding to each point in the first area; calculate the average value of the coordinate value of the horizontal axis and the vertical axis according to the coordinate value of each point; according to the average value of the coordinate value of the horizontal axis and the vertical axis To the first location point (average value on the horizontal axis, average value on the vertical axis), determine the point closest to the first location point in each area as the reference point.
  • the vibration detection device can convert the color space of the acquired original video, and process the brightness information in the converted color space according to the motion amplification algorithm to obtain the target video with motion amplification effect, so that the target gear group is working
  • the vibration information in the state is displayed in the target video, which improves the intelligence of the vibration detection device, and facilitates the analysis of the vibration detection device to obtain the reference vibration data of the target gear set; at the same time, it allows the user to more intuitively understand the location through the target video.
  • the operating state of the target gear set improves the detection efficiency of the vibration detection equipment for the cause of the abnormality of the target gear set.
  • generating the reference vibration data of the target gear set by the vibration detection device according to the target video includes: the vibration detection device processes the data contained in the target video according to a preset phase correlation algorithm The first number of frame pictures are obtained to obtain the first cross cross power spectrum between the first number of frame pictures; the interpolation filtering process is performed on the first cross cross power spectrum to obtain the second cross cross power for filtering noise Spectrum; generating the reference vibration data of the target gear set according to the second cross cross power spectrum.
  • the vibration detection device processes the first number of frame pictures contained in the target video according to a preset phase correlation algorithm to obtain the first cross power spectrum between the first number of frame pictures, which specifically includes : Obtain the phase correlation calculation formula, process the target video based on the phase correlation calculation formula to obtain the first cross-power spectrum, the phase correlation calculation formula: Obtain the phase correlation calculation formula, and process the amplified vibration video based on the phase correlation calculation formula Obtain the first cross cross power spectrum, and the phase correlation calculation formula:
  • R is the intersection of said first cross power spectrum
  • F a is the information of the image feature points in a Fourier transform
  • Is the conjugate of the Fourier transform of the information of the feature points in the image a
  • Is F a and The image a and the image b are one of the multiple frames of images.
  • the interpolation filtering process is performed on the first cross cross power spectrum to obtain the second cross cross power spectrum for filtering noise, which specifically includes: obtaining an inverse Fourier calculation formula, and comparing all data according to the inverse Fourier calculation formula
  • the second cross cross power spectrum is calculated, and the vibration data is obtained after phase-by-phase comparison, wherein the inverse Fourier calculation formula is:
  • r is the vibration data
  • R' is the second cross cross power spectrum
  • F -1 represents the inverse Fourier transform
  • the vibration detection device can intelligently process the frames in the target video to obtain the reference vibration data of the target gear set, which improves the intelligence of the vibration detection device and shortens the reason for detecting abnormalities in the target gear set. Time, improve the detection efficiency.
  • the reference vibration data includes N sub-vibration data, and each sub-vibration data in the N sub-vibration data corresponds to a gear of the transmission, and N is a positive integer;
  • the video and/or the reference vibration data to determine the cause of the abnormality of the target gear set includes: obtaining identification information of the transmission; querying a preset database according to the identification information, and obtaining the corresponding transmission in each gear N pieces of standard vibration data are obtained, and the standard vibration data includes the normal range in which the vibration amplitude, vibration frequency, vibration phase, and time-domain waveform of the transmission should be in each gear;
  • One of the standard vibration data corresponding to each sub-vibration data determines whether the N sub-vibration data meets the standard; if it is determined that the N sub-vibration data does not meet the standard, it is determined that the main gear on the input shaft of the transmission exists Fault; if it is determined that the M sub-vibration data in the N sub-vibration data do not meet the standard, it
  • the standard vibration data may include vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; and the standard vibration data may be a certain range of values or specific values.
  • the vibration amplitude in the standard vibration data is X 1 to X 2 , or it can be a preset value.
  • the standard vibration data is within a certain numerical range, as long as it is judged whether the value in the reference vibration data is within the numerical range, the standard is met within the numerical range, and the standard is not met if it is not within the numerical range; the standard vibration data is In the case of a preset value, you need to calculate the absolute value of the difference between the value in the reference vibration data and the preset value, and judge whether it meets the standard according to the absolute value of the difference, and the absolute value of the difference is greater than the preset threshold. If the standard is not met, if the absolute value of the difference is less than the preset threshold, the standard is met.
  • Figure 2B is a schematic diagram of a motor vehicle transmission provided by an embodiment of the present application.
  • the transmission includes an input shaft A1, an intermediate shaft A2, and an output shaft A3.
  • the input shaft includes a main gear
  • the intermediate shaft includes Intermediate gear, counter gear and sleeve on the output shaft.
  • the input shaft is connected with the car's engine to obtain power
  • the output shaft is connected with the differential, which transmits the power of the engine to the differential to drive the car.
  • the gear failure refers to at least one of the following: missing teeth and severe wear.
  • the vibration detection device can determine the condition of the transmission in combination with the vibration conditions of multiple gears, and then determine the fault location of the transmission, which improves the efficiency of fault detection.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the The method further includes: determining the target vibration amplitude, target vibration frequency, and target time-domain waveform included in the target sub-vibration data; calculating the difference between the target vibration amplitude and the preset amplitude; if it is determined that the difference is greater than the first prediction If the difference is set and the target vibration frequency is less than or equal to the preset frequency, and the target time-domain waveform is a periodic waveform, and the line is smooth in a single period, it is determined that the gear corresponding to the target sub-vibration data is seriously worn.
  • the frictional resistance increases when the gear is worn severely, resulting in a decrease in speed and an increase in amplitude. If the time domain waveform is a periodic waveform and the lines are smooth in a single period, it can be determined that the target gear set has no defective teeth.
  • the vibration detection device can determine whether the gear is severely worn in combination with the vibration amplitude, vibration frequency, and time domain waveform, which reduces the difficulty of detecting the cause of gear abnormality and improves detection efficiency.
  • the standard vibration data includes a preset amplitude and a preset frequency. After it is determined that the M pinion gears corresponding to the M sub-vibration data on the output shaft of the transmission are faulty, the The method further includes: determining the target vibration amplitude, target vibration frequency, and target time-domain waveform included in the target sub-vibration data; if it is determined that the target vibration amplitude is greater than or equal to the preset amplitude, the target vibration frequency is less than or equal to the preset amplitude.
  • the preset frequency, and the time-domain waveform is a periodic waveform, and there are abnormal fluctuation points in a single period, it is determined that there is at least one faulty tooth in the gear corresponding to the target sub-vibration data.
  • the vibration detection device can determine whether the target gear set has a faulty gear based on the vibration amplitude, vibration frequency, and time domain waveform, which reduces the difficulty of detecting the cause of gear abnormality and improves the efficiency of detecting the cause of gear abnormality.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the vibration detection device can intuitively analyze whether there are loose gears in the target gear set according to the time-domain waveform, which improves the intelligence of the vibration detection device and improves the efficiency of detecting the cause of the abnormality of the gear set.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the The method further includes: determining the time-domain waveform included in the target sub-vibration data; displaying the time-domain waveform on the display screen of the vibration detection device, and judging the gear corresponding to the target sub-vibration data according to the information entered into the local terminal by the user Whether it is abnormal and the first reason for abnormality when the corresponding gear is abnormal; generating first label information according to the first reason for abnormality, and adding the first label information to the information of the target video.
  • the vibration detection device can display the target video so that professionals can determine the cause of the gear abnormality based on the target video, which increases the user's selectivity.
  • the corresponding tag information is added according to the abnormal reason of the target video, which facilitates subsequent viewing, improves the intelligence of the vibration detection device, and improves the user experience.
  • the original video includes an original gear shift video of the transmission during a gear shift
  • the target video includes a target gear shift video corresponding to the original gear shift video.
  • Determining the cause of the abnormality of the target gear set by the target video and/or the reference vibration data includes: determining a first vibration amplitude according to the target shift video; determining whether the first vibration amplitude is less than or equal to a preset amplitude; If not, it is determined that the sleeve in the transmission is faulty or the sleeve lacks lubricant.
  • the vibration detection device can determine the vibration of the transmission during the shift according to the video of the transmission during the shift, and then determine whether the sleeve of the transmission is faulty according to the vibration of the transmission, which improves the detection of the transmission.
  • the detection efficiency of the sleeve Consistent with the embodiment shown in FIG. 2A, please refer to FIG. 3.
  • FIG. 3 is a schematic flowchart of a method for detecting abnormality of a gear set provided by an embodiment of the present application, which is applied to a vibration detection device.
  • the detection methods for gear set abnormalities include:
  • Step 301 The vibration detection device obtains the original video of the target gear set in a working state
  • Step 302 The vibration detection device converts the color space of the original video from a first color space to a second color space, where the first color space and the second color space are different;
  • Step 303 The vibration detection device calls a motion amplification algorithm to process the brightness information in the second color space to obtain the target video.
  • the motion amplification algorithm may include at least one of the following: Laplace motion amplification algorithm, Euler motion amplification algorithm, complex phase motion amplification algorithm;
  • Step 304 The vibration detection device processes the first number of frame pictures included in the target video according to a preset phase correlation algorithm to obtain a first cross cross power spectrum between the first number of frame pictures;
  • Step 305 The vibration detection device performs interpolation filtering processing on the first cross cross power spectrum to obtain a second cross cross power spectrum that filters out noise;
  • Step 306 The vibration detection device generates the reference vibration data of the target gear set according to the second cross cross power spectrum
  • Step 307 The vibration detection device determines the cause of the abnormality of the target gear set according to the target video and/or the reference vibration data.
  • the vibration detection device obtains the original video of the target gear set in the working state, and processes the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect.
  • the motion amplification effect Means that the movement of the area where the target gear set moves is amplified in the target video; the reference vibration data of the target gear set is generated according to the target video, and the vibration data includes at least one of the following Species: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; determine the cause of the abnormality of the target gear set according to the target video and/or the reference vibration data.
  • the vibration detection equipment only needs to obtain the video of the gear set in the working state to process, analyze and determine the reason for the abnormality of the gear set.
  • the operation is simple, which reduces the difficulty of detecting the abnormal gear set and improves the detection of the abnormal cause of the gear set. effectiveness.
  • the vibration detection device can convert the color space of the acquired original video, and process the brightness information in the converted color space according to the motion amplification algorithm to obtain the target video with motion amplification effect, which makes the target gear group vibrate in the working state
  • the information is displayed in the target video, which improves the intelligence of the vibration detection equipment, and facilitates the analysis of the vibration detection equipment to obtain the reference vibration data of the target gear set; at the same time, it allows the user to more intuitively understand the target gear set through the target video
  • the operating state of the vibration detection equipment improves the detection efficiency of the abnormal cause of the target gear set.
  • FIG. 4 is a schematic flowchart of a method for detecting abnormality of a gear set according to an embodiment of the present application, which is applied to electronic equipment.
  • the gear The detection methods for group abnormalities include:
  • Step 401 The vibration detection device obtains an original video of the target gear set in the motor vehicle transmission in a working state, and processes the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect;
  • Step 402 The vibration detection device generates reference vibration data of the target gear set according to the target video, where the vibration data includes at least one of the following: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform;
  • Step 403 The vibration detection device obtains identification information of the transmission
  • Step 404 The vibration detection device queries a preset database according to the identification information, obtains the standard vibration data corresponding to each gear of the transmission, and obtains N standard vibration data.
  • the standard vibration data includes the transmission at all positions. State the normal range of vibration amplitude, vibration frequency, vibration phase and time domain waveform in each gear;
  • Step 405 The vibration detection device judges whether the N sub-vibration data meet the standard according to one of the standard vibration data corresponding to each of the sub-vibration data;
  • Step 406 If the vibration detection device determines that none of the N sub-vibration data meet the standard, it is determined that the main gear on the input shaft of the transmission is faulty;
  • Step 407 If the vibration detection device determines that the M sub-vibration data in the N sub-vibration data do not meet the standard, it is determined that the M pin gears corresponding to the M sub-vibration data on the output shaft of the transmission are faulty.
  • the vibration detection device obtains the original video of the target gear set in the working state, and processes the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect.
  • the motion amplification effect Means that the movement of the area where the target gear set moves is amplified in the target video; the reference vibration data of the target gear set is generated according to the target video, and the vibration data includes at least one of the following Species: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; determine the cause of the abnormality of the target gear set according to the target video and/or the reference vibration data.
  • the vibration detection equipment only needs to obtain the video of the gear set in the working state to analyze and judge the abnormal cause of the gear set.
  • the operation is simple, which reduces the difficulty of detecting the abnormal gear set and improves the efficiency of detecting the abnormal cause of the gear set. .
  • the vibration detection device can combine the vibration conditions of multiple gears to determine the condition of the transmission, and then determine the fault location of the transmission, which improves the efficiency of fault detection.
  • FIG. 5 is a schematic structural diagram of a vibration detection device 500 provided by an embodiment of the present application.
  • the vibration The detection device 500 includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, where the one or more programs 521 are stored in the memory 520 and configured by the application processor 510.
  • the one or more programs 521 include instructions for executing the following steps:
  • vibration data includes at least one of the following: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform;
  • the cause of the abnormality of the target gear set is determined according to the target video and/or the reference vibration data.
  • the vibration detection device obtains the original video of the target gear set in the working state, and processes the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect.
  • the motion amplification effect Means that the movement of the area where the target gear set moves is amplified in the target video; the reference vibration data of the target gear set is generated according to the target video, and the vibration data includes at least one of the following Species: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; determine the cause of the abnormality of the target gear set according to the target video and/or the reference vibration data.
  • the vibration detection equipment only needs to obtain the video of the gear set in the working state to process, analyze and determine the reason for the abnormality of the gear set.
  • the operation is simple, which reduces the difficulty of detecting the abnormal gear set and improves the detection of the abnormal cause of the gear set. effectiveness.
  • the reference vibration data includes N sub-vibration data, each of the N sub-vibration data corresponds to a gear of the transmission, and N is a positive integer;
  • the instructions in the program are specifically used to perform the following operations: obtain identification information of the transmission; query presets according to the identification information To obtain the standard vibration data corresponding to each gear of the transmission to obtain N standard vibration data, the standard vibration data including the vibration amplitude, vibration frequency, and vibration phase of the transmission in each gear And the normal range that the time-domain waveform should be in; determine whether the N sub-vibration data meet the standard according to one of the standard vibration data corresponding to each sub-vibration data; if it is determined that none of the N sub-vibration data meet the standard, It is determined that the main gear on the input shaft of the transmission is faulty; if it is determined that the M sub-vibration data in the N sub-vibration data
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the The instructions in the program are specifically used to perform the following operations: determine the target vibration amplitude, target vibration frequency, and target time-domain waveform included in the target sub-vibration data; calculate the difference between the target vibration amplitude and the preset amplitude; If the difference is greater than the first preset difference and the target vibration frequency is less than or equal to the preset frequency, and the target time-domain waveform is a periodic waveform, and the line is smooth in a single period, it is determined that the target sub-vibration data corresponds to The gears are severely worn.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the The instructions in the program are specifically used to perform the following operations: determine the target vibration amplitude, target vibration frequency, and target time-domain waveform included in the target sub-vibration data; if it is determined that the target vibration amplitude is greater than or equal to the preset amplitude, If the target vibration frequency is less than or equal to the preset frequency, and the time-domain waveform is a periodic waveform, and there are abnormal fluctuation points in a single cycle, it is determined that there is at least one faulty tooth in the gear corresponding to the target sub-vibration data.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the original video includes an original gear shift video of the transmission during a gear shift
  • the target video includes a target gear shift video corresponding to the original gear shift video.
  • the target video and/or the reference vibration data determine the cause of the abnormality of the target gear set, and the instructions in the program are specifically used to perform the following operations: determine the first vibration amplitude according to the target shift video; determine the first Whether a vibration amplitude is less than or equal to a preset amplitude; if not, it is determined that the sleeve in the transmission is faulty or the sleeve lacks lubricant.
  • an electronic device includes hardware structures and/or software modules corresponding to each function.
  • the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software-driven hardware depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.
  • the embodiment of the present application may divide the electronic device into functional units according to the foregoing method examples.
  • each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit.
  • the above-mentioned integrated unit can be implemented in the form of hardware or software functional unit. It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division, and there may be other division methods in actual implementation.
  • FIG. 6 is a block diagram of functional units of a gear set abnormality detection device 600 involved in an embodiment of the present application.
  • the gear set abnormality detection device 600 is applied to vibration detection equipment, and includes a processing unit 601 and a communication unit 602. Among them,
  • the processing unit 601 is configured to obtain, through the communication unit 602, the original video of the target gear set in the motor vehicle transmission in the working state, and process the original video according to a preset video processing strategy to obtain a motion amplification effect
  • the target video the motion zoom effect means that the motion situation of the region where the target gear set moves is zoomed in in the target video
  • a reference for generating the target gear set according to the target video Vibration data, the vibration data includes at least one of the following: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; and used to determine the abnormality of the target gear set according to the target video and/or the reference vibration data the reason.
  • the device for detecting abnormality of the gear set may further include a storage unit 603 for storing program codes and data of the electronic equipment.
  • the processing unit 601 may be an application processor
  • the communication unit 602 may be a global communication bus, a transceiver, etc.
  • the storage unit 603 may be a memory.
  • the vibration detection device obtains the original video of the target gear set in the working state, and processes the original video according to a preset video processing strategy to obtain a target video with a motion amplification effect.
  • the motion amplification effect Means that the movement of the area where the target gear set moves is amplified in the target video; the reference vibration data of the target gear set is generated according to the target video, and the vibration data includes at least one of the following Species: vibration amplitude, vibration frequency, vibration phase, and time-domain waveform; determine the cause of the abnormality of the target gear set according to the target video and/or the reference vibration data.
  • the vibration detection equipment only needs to obtain the video of the gear set in the working state to process, analyze and determine the reason for the abnormality of the gear set.
  • the operation is simple, which reduces the difficulty of detecting the abnormal gear set and improves the detection of the abnormal cause of the gear set. effectiveness.
  • the reference vibration data includes N sub-vibration data, each of the N sub-vibration data corresponds to a gear of the transmission, and N is a positive integer;
  • the processing unit 601 is specifically configured to: obtain identification information of the transmission; query a preset database according to the identification information to obtain According to the standard vibration data corresponding to each gear of the transmission, N pieces of standard vibration data are obtained.
  • the standard vibration data includes the vibration amplitude, vibration frequency, vibration phase and time-domain waveform of the transmission in each gear.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the The processing unit 601 is specifically configured to: determine the target vibration amplitude, target vibration frequency, and target time-domain waveform included in the target sub-vibration data; calculate the difference between the target vibration amplitude and the preset amplitude; if it is determined that the difference is greater than The first preset difference, the target vibration frequency is less than or equal to the preset frequency, and the target time-domain waveform is a periodic waveform, and the line is smooth in a single period, it is determined that the gear corresponding to the target sub-vibration data is severely worn.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the The processing unit 601 is specifically configured to: determine the target vibration amplitude, target vibration frequency, and target time-domain waveform included in the target sub-vibration data; if it is determined that the target vibration amplitude is greater than or equal to the preset amplitude, the target vibration frequency If the frequency is less than or equal to the preset frequency, and the time-domain waveform is a periodic waveform, and there are abnormal fluctuation points in a single cycle, it is determined that there is at least one faulty tooth in the gear corresponding to the target sub-vibration data.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the standard vibration data includes a preset amplitude and a preset frequency.
  • the The processing unit 601 is specifically configured to: determine the time-domain waveform included in the target sub-vibration data; display the time-domain waveform on the display screen of the vibration detection device, and determine the target sub-vibration data according to the information entered by the user at the local end Whether the corresponding gear is abnormal and the first reason for abnormality when the corresponding gear is abnormal; generating first label information according to the first reason for abnormality, and adding the first label information to the information of the target video .
  • the original video includes an original gear shift video of the transmission during a gear shift
  • the target video includes a target gear shift video corresponding to the original gear shift video.
  • the target video and/or the reference vibration data determine the cause of the abnormality of the target gear set
  • the processing unit 601 is specifically configured to: determine the first vibration amplitude according to the target shift video; determine whether the first vibration amplitude Less than or equal to the preset amplitude; if not, it is determined that the sleeve in the transmission is faulty or the sleeve lacks lubricant.
  • An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any method as recorded in the above method embodiment ,
  • the above-mentioned computer includes electronic equipment.
  • the embodiments of the present application also provide a computer program product.
  • the above-mentioned computer program product includes a non-transitory computer-readable storage medium storing a computer program.
  • the above-mentioned computer program is operable to cause a computer to execute any of the methods described in the above-mentioned method embodiments. Part or all of the steps of the method.
  • the computer program product may be a software installation package, and the above-mentioned computer includes electronic equipment.
  • the disclosed device may be implemented in other ways.
  • the device embodiments described above are only illustrative, for example, the division of the above-mentioned units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components can be combined or integrated. To another system, or some features can be ignored, or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical or other forms.
  • the units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.
  • the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable memory.
  • the technical solution of the present application essentially or the part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory.
  • a number of instructions are included to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the foregoing methods of the various embodiments of the present application.
  • the aforementioned memory includes: U disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.
  • the program can be stored in a computer-readable memory, and the memory can include: a flash disk , Read-only memory (English: Read-Only Memory, abbreviation: ROM), random access device (English: Random Access Memory, abbreviation: RAM), magnetic disk or optical disk, etc.

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Abstract

一种齿轮组异常的检测方法及相关产品，应用于振动检测设备（100），方法包括：获取设置于机动车变速器中的目标齿轮组（110）在工作状态下的原始视频（201）；根据预设视频处理策略处理原始视频得到具有运动放大效果的目标视频（202）；根据目标视频生成目标齿轮组（110）的参考振动数据（203）；根据目标视频和/或参考振动数据确定目标齿轮组（110）的异常原因（204）。该方法降低了齿轮组异常情况下的检测难度，提高了检测齿轮组异常原因的效率。

Description

齿轮组异常的检测方法及相关产品 技术领域
本申请涉及机械技术领域，具体涉及一种齿轮组异常的检测方法及相关产品。
背景技术
齿轮组是指由很多齿轮组合在一起形成的一个小的系统，有很多大小不同的齿轮组成，而且所有的齿轮保持相同的旋转速度。齿轮组主要是用来传递扭矩、改变速度和改变扭矩方向的。在冶金设备，传动箱等都有很大的应用。当前齿轮组大多都在设备内部，如齿轮组在变速相中的应用；如果变速箱中的齿轮组中出现故障时，需要拆解变速箱，并从齿轮组包括的多个齿轮中寻找出现故障的齿轮，较为繁杂，检测效率低。
发明内容
本申请实施例提供了一种齿轮组异常的检测方法及相关产品，以期提高针对齿轮组的故障检测效率。
第一方面，本申请实施例提供一种齿轮组异常的检测方法，应用于振动检测设备，所述方法包括：
获取设置于机动车变速器中的目标齿轮组在工作状态下的原始视频；根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；
根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；
根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。
第二方面，本申请实施例提供一种齿轮组异常的检测方法装置，包括处理单元和通信单元，其中，
所述处理单元，用于通过所述通信单元获取目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；以及用于根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；以及用于根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。
第三方面，本申请实施例提供一种电子设备，包括处理器、存储器、通信接口以及一个或多个程序，其中，上述一个或多个程序被存储在上述存储器中，并且被配置由上述处理器执行，上述程序包括用于执行本申请实施例第一方面任一方法中的步骤的指令。
第四方面，本申请实施例提供了一种计算机可读存储介质，其中，上述计算机可读存储介质存储用于电子数据交换的计算机程序，其中，上述计算机程序使得计算机执行如本申请实施例第一方面任一方法中所描述的部分或全部步骤。
第五方面，本申请实施例提供了一种计算机程序产品，其中，上述计算机程序产品包 括存储了计算机程序的非瞬时性计算机可读存储介质，上述计算机程序可操作来使计算机执行如本申请实施例第一方面任一方法中所描述的部分或全部步骤。该计算机程序产品可以为一个软件安装包。
可以看出，本申请实施例中，振动检测设备获取设置于机动车变速器中的目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。可见，振动检测设备只需获取齿轮组在工作状态下的视频便可分析判断出齿轮组的异常原因，操作简单，降低了齿轮组异常情况下的检测难度，提高了检测齿轮组异常原因的效率。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本申请实施例提供的一种齿轮组异常的检测系统图；
图2A是本申请实施例提供的一种齿轮组异常的检测方法的流程示意图；
图2B是本申请实施例提供的一种机动车变速器的示意图；
图3是本申请实施例提供的另一种齿轮组异常的检测方法的流程示意图；
图4是本申请实施例提供的另一种齿轮组异常的检测方法的流程示意图；
图5是本申请实施例提供的一种振动检测设备的结构示意图；
图6是本申请实施例提供的一种齿轮组异常的检测方法装置的功能单元组成框图。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其他步骤或单元。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本申请实施例所涉及到的振动检测设备可以包括各种具有无线通信功能的手持设备、车载设备、可穿戴设备、计算设备或连接到无线调制解调器的其他处理设备，以及各种形式的用户设备(User Equipment，UE)，移动台(Mobile Station，MS)，终端设备(terminal device)等等。
如图1所示，图1是本申请实施例提供的一种齿轮组异常的检测系统图。图1中包括振动检测设备100和目标齿轮组110。所述振动检测设备100包括数据处理和显示装置101和数据获取装置102。在检测所述目标齿轮组110异常原因时，首先数据获取装置102获取目标齿轮组110在工作状态下的原始视频；数据获取装置102向所述数据处理和显示装置101发送所述原始视频，所述数据处理和显示装置101根据预设视频处理策略针对所述原始视频处理得到目标视频；所述数据处理和显示装置101在显示屏上显示所述目标视频，并根据用户的设置操作确定所述目标齿轮组110的异常原因，或者，所述数据处理和显示装置101针对所述目标视频进一步处理得到所述目标齿轮组110在工作状态下的参考振动数据，所述参考振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；所述数据处理和显示装置101获取所述目标齿轮组110关联的预设振动数据，根据所述预设振动数据判断所述参考振动数据是否符合预设标准；进而判断所述目标齿轮组110是否异常以及在异常情况下的异常原因。
针对上述问题，本申请提出一种齿轮组异常的检测方法，下面对本申请实施例进行详细介绍。
请参阅图2A，图2A是本申请实施例提供了一种齿轮组异常的检测方法的流程示意图，应用于振动检测设备；如图所示，本齿轮组异常的检测方法包括：
步骤201，振动检测设备获取设置于机动车变速器中的目标齿轮组在工作状态下的原始视频；
步骤202，振动检测设备根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频；
其中，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标 视频中是经过放大处理的。
步骤203，振动检测设备根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；
步骤204，振动检测设备根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。
举例来说，目标齿轮组可以是汽车中的变速箱，当变速箱处于目标档位时，采集变速箱工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，针对所述目标视频分析处理得到变速箱的参考振动数据，包括：振动幅度、振动频率、振动相位和时域波形。所述振动检测设备在显示屏上显示所述目标视频，根据用户录入本端的信息判断所述变速箱是否异常以及所述变速箱为异常的情况下的异常原因，并根据所述变速箱当前所处的目标档位定位出所述变速箱中的异常齿轮；或者，所述振动检测设备获取所述变速箱的预设振动数据，所述预设振动数据是根据所述变速箱在正常工作状态下的视频处理分析得到的，根据所述预设振动数据判断变速箱的参考振动数据是否处于正常范围内，若否，则确定所述目标齿轮组异常，并根据参考振动数据振动幅度、振动频率、振动相位和时域波形中的具体的一项或多项异常数据判断所述目标齿轮组的异常原因，并根据所述变速箱当前所处的目标档位定位出所述变速箱中的异常齿轮。
可以看出，本申请实施例中，振动检测设备获取目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。可见，振动检测设备只需获取齿轮组在工作状态下的视频便可分析判断出齿轮组的异常原因，操作简单，降低了齿轮组异常情况下的检测难度，提高了检测齿轮组异常原因的效率。
其中，所述振动检测设备根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，包括：所述振动检测设备将所述原始视频的颜色空间由第一颜色空间转换为第二颜色空间，所述第一颜色空间和所述第二颜色空间不同；调用运动放大算法处理所述第二颜色空间中的亮度信息以得到所述目标视频，所述运动放大算法可以包括：拉普拉斯运动放大算法、欧拉运动放大算法、复数相位运动放大算法。
其中，颜色空间为RGB，所述目标颜色空间为YIQ空间，所述颜色空间转换算法具体包括：
Y＝0.299*R+0.587*G+0.114*B，
I＝0.596*R－0.275*G－0.321*B，
Q＝0.212*R-0.523*G+0.311*B。
其中，RGB是工业界的一种颜色标准，是通过对红(R)、绿(G)、蓝(B)三个颜色通道的变化以及它们相互之间的叠加来得到各式各样的颜色的，RGB即是代表红、绿、蓝三个通道的颜色。YIQ是电视系统标准(National Television Standards Committee，NTSC)。Y是提供黑白电视及彩色电视的亮度信号(Luminance)，即亮度(Brightness)，即本示例中的亮度下信息；I代表In-phase，色彩从橙色到青色，Q代表Quadrature-phase，色彩从紫色到黄绿色。较其他颜色空间，YIQ颜色空间具有能将图像中的亮度分量分离提取出来的优点，并且YIQ颜色空间与RGB颜色空间之间是线性变换的关系，计算量小，聚类特性也比较好，可以适应光照强度不断变化的场合，因此能够有效地用于彩色图像处理。可用于在自然条件下采集到的复杂背景下的运动目标的识别。
可选的，所述运动放大算法包括：复数相位运动放大算法，所述振动检测设备根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频包括：获取所述原始视频的视频序列帧；获取所述序列帧中的亮度信息，对所述亮度信息执行快速傅里叶变换得到变换后的亮度信息，依据所述变换后的亮度信息对所述亮度信息进行更新，得到变换后的序列帧；对所述变换后的序列帧进行图像分解，所述图像分解具体包括：依据YIQ空间将所述变换后的序列帧分解为Y通道图像、I通道图像、Q通道图像；将所述Y通道图像执行空域分解，得到不同空间分辨率的Y通道图像，对不同空间分辨率的Y通道图像进行时域带通滤波处理，获取目标频段，依据所述目标频段与所述不同空间分辨率的Y通道图像确定多个Y通道图像信号；对所述多个Y通道图像信号进行放大，得到多个放大后的目标频段下的多个放大图像信号；获取复数可操纵金字塔重建算法，依据所述复数可操纵金字塔重建算法对所述多个放大后的目标频段下的放大图像信号进行合成，得到放大后的Y通道图像；获取所述I通道图像与所述Q通道图像，将所述放大后的Y通道图像与所述I通道图像、所述Q通道图像进行相加，得到放大后的振动图像；对所述放大后的振动图像执行颜色空间转换操作，得到RGB颜色空间下的放大后的振动图像，依据所述RGB颜色空间下的放大后的振动图像生成目标视频。可选的，所述复数可操纵金字塔重建具体包括：获取原始视频，获取 预设的多个方向滤波器，依据所述多个方向滤波器对所述原始视频进行分解，得到无混叠现象的任意方向视频。
可选的，所述运动放大算法包括：拉普拉斯运动放大算法，所述振动检测设备根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频包括：将原始视频分解成多帧图像；基于预设特征点选取规则从所述多帧图像中确定特征点；确定所述特征点的信息；确定所述特征点的信息随时间变化的轨迹；合成放大所述特征点的信息随时间变化的轨迹得到放大后的振动图像；依据放大后的振动图像生成目标视频。其中，所述特征点的信息包括以下至少一种：特征点在当前图像中的位置、特征点在当前图像中的坐标、特征点在当前图像中的功率。
其中，基于预设特征点选取规则从所述多帧图像中确定特征点，包括：根据用户录入的型号信息查询所述变速器的结构信息(包括变速器箱体内部的连接关系、内部的连接位置、箱体的厚度以及箱体的构造)，确定所述变速器中齿轮组与箱体连接的H个内部连接区域；根据所述变速器的结构信息生成得到所述H个内部连接区域的位置信息；根据所述变速器的箱体的外部形状、所述结构信息确定所述H个内部连接区域对应的H个外部区域；确定所述H个外部区域中每3个区域为一组，得到
Figure PCTCN2020104826-appb-000001
组区域；选取H个外部区域中每个区域中的一个点作为参考点，得到每组区域包括的3个参考点；根据每组区域的3个参考点确定每组区域对应的一个三角形，确定每个三角形的重心，及每组区域对应一个重心，得到
Figure PCTCN2020104826-appb-000002
个重心，确定所述
Figure PCTCN2020104826-appb-000003
个重心为所述特征点。其中，选取H个外部区域中每个区域中的一个点作为参考点的具体步骤可以是(此处以第一区域来说明)：以所述第一区域中的任意一个点建立第一区域对应的直角坐标系；确定第一区域中每个点对应的坐标值；根据每个点的坐标值计算得到横轴和纵轴的坐标值的平均值；按照横轴和纵轴的坐标值的平均值得到第一位置点(横轴平均值，纵轴平均值)，确定每个区域中距离第一位置点最近的点为参考点。
可见，本示例中，振动检测设备可转换获取的原始视频的颜色空间，并根据运动放大算法处理转换后的颜色空间中的亮度信息，得到具有运动放大效果的目标视频，使得目标齿轮组在工作状态下的振动信息在目标视频中显现出来，提升了振动检测设备的智能性，便于振动检测设备分析得到所述目标齿轮组的参考振动数据；同时可使得用户可以通过目标视频更加直观的了解所述目标齿轮组的运行状态，提升了振动检测设备对于目标齿轮组异常原因的检测效率。
在一个可能的示例中，所述振动检测设备根据所述目标视频生成所述目标齿轮组的参 考振动数据，包括：所述振动检测设备根据预设的相位相关算法处理所述目标视频中包含的第一数量个帧画面，得到所述第一数量个帧画面之间的第一交叉互功率谱；针对所述第一交叉互功率谱进行插值滤波处理，得到滤除噪音的第二交叉互功率谱；根据所述第二交叉互功率谱生成所述目标齿轮组的所述参考振动数据。
其中，所述振动检测设备根据预设的相位相关算法处理所述目标视频中包含的第一数量个帧画面，得到所述第一数量个帧画面之间的第一交叉互功率谱，具体包括：获取相位相关计算公式，基于相位相关计算公式处理所述目标视频得到第一交叉互功率谱，所述相位相关计算公式：：获取相位相关计算公式，基于相位相关计算公式处理所述放大振动视频得到第一交叉互功率谱，所述相位相关计算公式：
Figure PCTCN2020104826-appb-000004
所述R为所述第一交叉互功率谱，所述F a为图像a中特征点的信息的傅里叶变换，
Figure PCTCN2020104826-appb-000005
为图像a中特征点的信息的傅里叶变换的共轭，
Figure PCTCN2020104826-appb-000006
为F a和
Figure PCTCN2020104826-appb-000007
的模，图像a和图像b为所述多帧图像中的一帧。
其中，针对所述第一交叉互功率谱进行插值滤波处理，得到滤除噪音的第二交叉互功率谱，具体包括：获取反傅里叶计算公式，依据所述反傅里叶计算公式对所述第二交叉互功率谱进行计算，逐相位比较后得到所述振动数据，其中所述反傅里叶计算公式为：
r＝F -1{R′}
r为所述振动数据，R′为所述第二交叉互功率谱，F -1表示反傅里叶变换。
可见，本示例中，振动检测设备可智能的针对目标视频中的帧画面进行处理以得到所述目标齿轮组的参考振动数据，提升了振动检测设备的智能性，缩短了检测目标齿轮组异常原因的时间，提高了检测效率。
在一个可能的示例中，所述参考振动数据包括N个子振动数据，所述N个子振动数据中的每个子振动数据对应所述变速器的一个档位，N为正整数；所述根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因，包括：获取所述变速器的标识信息；根据所述标识信息查询预设的数据库，获取所述变速器在每个档位对应的标准振动数据， 得到N个标准振动数据，所述标准振动数据包括所述变速器在所述每个档位时振动幅度、振动频率、振动相位和时域波形应当处于的正常范围；根据所述每个子振动数据对应的一个所述标准振动数据判断所述N个子振动数据是否符合标准；若判断出所述N个子振动数据均不符合标准，则确定所述变速器的输入轴上的主齿轮存在故障；若判断出所述N个子振动数据中的M个子振动数据不符合标准，则确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障。
其中，标准振动数据可以包括振动幅度、振动频率、振动相位和时域波形；且标准振动数据可以是一定的数值范围，也可以是具体的数值。例如标准振动数据中振动幅度是X 1至X 2，也可以是一个预设数值。在标准振动数据为一定的数值范围的情况下，则只要判断参考振动数据中的数值是否处于数值范围内，在数值范围内则符合标准，不在数值范围内则不符合标准；在标准振动数据为一个预设数值的情况下，则需要计算参考振动数据中的数值与预设数值的差值的绝对值，根据差值的绝对值判断是否符合标准，差值的绝对值大于预设的阈值则不符合标准，差值的绝对值小于预设的阈值则符合标准。
其中，请参阅图2B，图2B是本申请实施例提供的一种机动车变速器的示意图，变速器包括输入轴A1、中间轴A2和输出轴A3，其中输入轴上包括主齿轮，中间轴上包括中间齿轮，输出轴上副齿轮和套筒。其中输入轴与汽车的发动机连接以获取动力，输出轴与差速器连接，将发动机的动力传输给差速器以驱动汽车。
其中，在判断出所述N个子振动数据均不符合标准的情况下，也可能是中间轴上与主齿轮啮合的中间齿轮存在故障。
其中，齿轮存在故障指的是以下至少一种：齿牙缺少、磨损严重。
可见，本示例中，振动检测设备可结合多个档位的振动情况来判断变速器的情况，进而确定变速器的故障位置，提升了故障检测的效率。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述方法还包括：确定目标子振动数据中包括的目标振动幅度、目标振动频率和目标时域波形；计算所述目标振动幅度和预设幅度的差值；若判断出所述差值大于第一预设差值且所述目标振动频率小于等于预设频率，且所述目标时域波形为周期波形，且单个周期内线条平滑，则确定所述目标子振动数据对应的齿轮磨损严重。
其中，齿轮磨损严重时摩擦阻力增大，导致转速降低，振幅增大。若时域波形为周期 波形，且单个周期内线条平滑，则可确定目标齿轮组无存在缺陷的齿牙。
可见，本示例中，振动检测设备可结合振动幅度、振动频率和时域波形确定齿轮是否磨损严重，降低了齿轮异常原因的检测难度，提高了检测效率。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述方法还包括：确定目标子振动数据中包括的目标振动幅度、目标振动频率和目标时域波形；若判断出所述目标振动幅度大于等于所述预设幅值，所述目标振动频率小于等于所述预设频率，且所述时域波形为周期波形，且单个周期内存在异常波动点，则确定所述目标子振动数据对应的齿轮中存在至少一个故障齿牙。
可见，本示例中，振动检测设备可结合振动幅度、振动频率和时域波形确定目标齿轮组是否存在故障齿轮，降低了齿轮异常原因的检测难度，提高了检测齿轮异常原因的效率。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述方法还包括：确定目标子振动数据中包括的目标时域波形；若判断出所述目标时域波形为非周期波形，则确定所述目标子振动数据对应的齿轮松动。
可见，本示例中，振动检测设备可根据时域波形直观的分析出目标齿轮组的是否存在松动的齿轮，提升了振动检测设备的智能性，提高了检测齿轮组异常原因的效率。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述方法还包括：确定目标子振动数据中包括的时域波形；在所述振动检测设备的显示屏上显示所述时域波形，根据用户的录入本端的信息判断所述目标子振动数据对应的齿轮是否异常以及所述对应的齿轮为异常的情况下的第一异常原因；根据所述第一异常原因生成第一标签信息，在所述目标视频的信息中添加所述第一标签信息。
可见，本示例中，振动检测设备可显示目标视频以便于专业人员根据目标视频确定齿轮的异常原因，增加了用户的可选择性。同时根据目标视频的异常原因添加对应的标签信息，方便后续的查看，提升了振动检测设备的智能性，提升了用户体验。
在一个可能的示例中，所述原始视频中包括所述变速器在换挡过程中的原始换挡视频，所述目标视频包括所述原始换挡视频对应的目标换挡视频，所述根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因，包括：根据所述目标换挡视频确定第一 振动幅度；判断所述第一振动幅度是否小于等于预设幅值；若否，则确定所述变速器中的套筒存在故障或者所述套筒缺少润滑剂。
可见，本示例中，振动检测设备可根据换挡过程之中的变速器的视频确定换挡过程中变速器的振动情况，进而根据变速器的振动情况确定变速器的套筒是否存在故障，提升了检测变速器中的套筒的检测效率。与上述图2A所示的实施例一致的，请参阅图3，图3是本申请实施例提供的一种齿轮组异常的检测方法的流程示意图，应用于振动检测设备，如图所示，本齿轮组异常的检测方法包括：
步骤301，振动检测设备获取目标齿轮组在工作状态下的原始视频；
步骤302，所述振动检测设备将所述原始视频的颜色空间由第一颜色空间转换为第二颜色空间，所述第一颜色空间和所述第二颜色空间不同；
步骤303，所述振动检测设备调用运动放大算法处理所述第二颜色空间中的亮度信息以得到所述目标视频，所述运动放大算法可以包括以下至少一种：拉普拉斯运动放大算法、欧拉运动放大算法、复数相位运动放大算法；
步骤304，所述振动检测设备根据预设的相位相关算法处理所述目标视频中包含的第一数量个帧画面，得到所述第一数量个帧画面之间的第一交叉互功率谱；
步骤305，所述振动检测设备针对所述第一交叉互功率谱进行插值滤波处理，得到滤除噪音的第二交叉互功率谱；
步骤306，所述振动检测设备根据所述第二交叉互功率谱生成所述目标齿轮组的所述参考振动数据；
步骤307，所述振动检测设备根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。
可以看出，本申请实施例中，振动检测设备获取目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。可见，振动检测设备只需获取齿轮组在工作状态下的视频便可处理分析判断出齿轮组的异常原因，操作简单，降低了齿轮组异常情况下的检测难度，提高了检测齿轮组异常原因的效率。
此外，振动检测设备可转换获取的原始视频的颜色空间，并根据运动放大算法处理转换后的颜色空间中的亮度信息，得到具有运动放大效果的目标视频，使得目标齿轮组在工作状态下的振动信息在目标视频中显现出来，提升了振动检测设备的智能性，便于振动检测设备分析得到所述目标齿轮组的参考振动数据；同时可使得用户可以通过目标视频更加直观的了解所述目标齿轮组的运行状态，提升了振动检测设备对于目标齿轮组异常原因的检测效率。
与上述图2A所示的实施例一致的，请参阅图4，图4是本申请实施例提供的一种齿轮组异常的检测方法的流程示意图，应用于电子设备，如图所示，本齿轮组异常的检测方法包括：
步骤401，振动检测设备获取设置于机动车变速器中的目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频；
步骤402，振动检测设备根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；
步骤403，振动检测设备获取变速器的标识信息；
步骤404，振动检测设备根据所述标识信息查询预设的数据库，获取所述变速器在每个档位对应的标准振动数据，得到N个标准振动数据，所述标准振动数据包括所述变速器在所述每个档位时振动幅度、振动频率、振动相位和时域波形应当处于的正常范围；
步骤405，振动检测设备根据所述每个子振动数据对应的一个所述标准振动数据判断所述N个子振动数据是否符合标准；
步骤406，若振动检测设备判断出所述N个子振动数据均不符合标准，则确定所述变速器的输入轴上的主齿轮存在故障；
步骤407，若振动检测设备判断出所述N个子振动数据中的M个子振动数据不符合标准，则确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障。
可以看出，本申请实施例中，振动检测设备获取目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。可见，振动检测设备只需获取齿轮组在工作状态下 的视频便可分析判断出齿轮组的异常原因，操作简单，降低了齿轮组异常情况下的检测难度，提高了检测齿轮组异常原因的效率。
此外，振动检测设备可结合多个档位的振动情况来判断变速器的情况，进而确定变速器的故障位置，提升了故障检测的效率。
与上述图2A、图3、图4所示的实施例一致的，请参阅图5，图5是本申请实施例提供的一种振动检测设备500的结构示意图，如图所示，所述振动检测设备500包括应用处理器510、存储器520、通信接口530以及一个或多个程序521，其中，所述一个或多个程序521被存储在上述存储器520中，并且被配置由上述应用处理器510执行，所述一个或多个程序521包括用于执行以下步骤的指令：
获取设置于机动车变速器中的目标齿轮组在工作状态下的原始视频；根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；
根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；
根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。可以看出，本申请实施例中，振动检测设备获取目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。可见，振动检测设备只需获取齿轮组在工作状态下的视频便可处理分析判断出齿轮组的异常原因，操作简单，降低了齿轮组异常情况下的检测难度，提高了检测齿轮组异常原因的效率。
在一个可能的示例中，所述参考振动数据包括N个子振动数据，所述N个子振动数据中的每个子振动数据对应所述变速器的一个档位，N为正整数；在所述根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因方面，所述程序中的指令具体用于执行以下操作：获取所述变速器的标识信息；根据所述标识信息查询预设的数据库，获取所述变速器在每个档位对应的标准振动数据，得到N个标准振动数据，所述标准振动数据包括所述变速器在所述每个档位时振动幅度、振动频率、振动相位和时域波形应当处于的 正常范围；根据所述每个子振动数据对应的一个所述标准振动数据判断所述N个子振动数据是否符合标准；若判断出所述N个子振动数据均不符合标准，则确定所述变速器的输入轴上的主齿轮存在故障；若判断出所述N个子振动数据中的M个子振动数据不符合标准，则确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述程序中的指令具体用于执行以下操作：确定目标子振动数据中包括的目标振动幅度、目标振动频率和目标时域波形；计算所述目标振动幅度和预设幅度的差值；若判断出所述差值大于第一预设差值且所述目标振动频率小于等于预设频率，且所述目标时域波形为周期波形，且单个周期内线条平滑，则确定所述目标子振动数据对应的齿轮磨损严重。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述程序中的指令具体用于执行以下操作：确定目标子振动数据中包括的目标振动幅度、目标振动频率和目标时域波形；若判断出所述目标振动幅度大于等于所述预设幅值，所述目标振动频率小于等于所述预设频率，且所述时域波形为周期波形，且单个周期内存在异常波动点，则确定所述目标子振动数据对应的齿轮中存在至少一个故障齿牙。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述程序中的指令具体用于执行以下操作：确定目标子振动数据中包括的目标时域波形；若判断出所述目标时域波形为非周期波形，则确定所述目标子振动数据对应的齿轮松动。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述程序中的指令具体用于执行以下操作：确定目标子振动数据中包括的时域波形；在所述振动检测设备的显示屏上显示所述时域波形，根据用户的录入本端的信息判断所述目标子振动数据对应的齿轮是否异常以及所述对应的齿轮为异常的情况下的第一异常原因；根据所述第一异常原因生成第一标签信息，在所述目标视频的信息中添加所述第一标签信息。
在一个可能的示例中，所述原始视频中包括所述变速器在换挡过程中的原始换挡视频，所述目标视频包括所述原始换挡视频对应的目标换挡视频，所述根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因，所述程序中的指令具体用于执行以下操 作：根据所述目标换挡视频确定第一振动幅度；判断所述第一振动幅度是否小于等于预设幅值；若否，则确定所述变速器中的套筒存在故障或者所述套筒缺少润滑剂。
上述主要从方法侧执行过程的角度对本申请实施例的方案进行了介绍。可以理解的是，电子设备为了实现上述功能，其包含了执行各个功能相应的硬件结构和/或软件模块。本领域技术人员应该很容易意识到，结合本文中所提供的实施例描述的各示例的单元及算法步骤，本申请能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
本申请实施例可以根据上述方法示例对电子设备进行功能单元的划分，例如，可以对应各个功能划分各个功能单元，也可以将两个或两个以上的功能集成在一个处理单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。需要说明的是，本申请实施例中对单元的划分是示意性的，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式。
图6是本申请实施例中所涉及的齿轮组异常的检测装置600的功能单元组成框图。该齿轮组异常的检测装置600应用于振动检测设备，包括处理单元601和通信单元602，其中，
所述处理单元601，用于通过所述通信单元602获取设置于机动车变速器中的目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；以及用于根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；以及用于根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。
其中，所述齿轮组异常的检测装置还可以包括存储单元603，用于存储电子设备的程序代码和数据。所述处理单元601可以是应用处理器，所述通信单元602可以是全局通信总线、收发器等，存储单元603可以是存储器。
可以看出，本申请实施例中，振动检测设备获取目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少 一种：振动幅度、振动频率、振动相位和时域波形；根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。可见，振动检测设备只需获取齿轮组在工作状态下的视频便可处理分析判断出齿轮组的异常原因，操作简单，降低了齿轮组异常情况下的检测难度，提高了检测齿轮组异常原因的效率。
在一个可能的示例中，所述参考振动数据包括N个子振动数据，所述N个子振动数据中的每个子振动数据对应所述变速器的一个档位，N为正整数；在所述根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因方面，所述处理单元601具体用于：获取所述变速器的标识信息；根据所述标识信息查询预设的数据库，获取所述变速器在每个档位对应的标准振动数据，得到N个标准振动数据，所述标准振动数据包括所述变速器在所述每个档位时振动幅度、振动频率、振动相位和时域波形应当处于的正常范围；根据所述每个子振动数据对应的一个所述标准振动数据判断所述N个子振动数据是否符合标准；若判断出所述N个子振动数据均不符合标准，则确定所述变速器的输入轴上的主齿轮存在故障；若判断出所述N个子振动数据中的M个子振动数据不符合标准，则确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述处理单元601具体用于：确定目标子振动数据中包括的目标振动幅度、目标振动频率和目标时域波形；计算所述目标振动幅度和预设幅度的差值；若判断出所述差值大于第一预设差值且所述目标振动频率小于等于预设频率，且所述目标时域波形为周期波形，且单个周期内线条平滑，则确定所述目标子振动数据对应的齿轮磨损严重。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述处理单元601具体用于：确定目标子振动数据中包括的目标振动幅度、目标振动频率和目标时域波形；若判断出所述目标振动幅度大于等于所述预设幅值，所述目标振动频率小于等于所述预设频率，且所述时域波形为周期波形，且单个周期内存在异常波动点，则确定所述目标子振动数据对应的齿轮中存在至少一个故障齿牙。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述处理单元601具体用于：确定目标子振动数据中包括的目标时域波形；若判断出所述目标时域波形为非 周期波形，则确定所述目标子振动数据对应的齿轮松动。
在一个可能的示例中，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述处理单元601具体用于：确定目标子振动数据中包括的时域波形；在所述振动检测设备的显示屏上显示所述时域波形，根据用户的录入本端的信息判断所述目标子振动数据对应的齿轮是否异常以及所述对应的齿轮为异常的情况下的第一异常原因；根据所述第一异常原因生成第一标签信息，在所述目标视频的信息中添加所述第一标签信息。
在一个可能的示例中，所述原始视频中包括所述变速器在换挡过程中的原始换挡视频，所述目标视频包括所述原始换挡视频对应的目标换挡视频，所述根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因，所述处理单元601具体用于：根据所述目标换挡视频确定第一振动幅度；判断所述第一振动幅度是否小于等于预设幅值；若否，则确定所述变速器中的套筒存在故障或者所述套筒缺少润滑剂。
本申请实施例还提供一种计算机存储介质，其中，该计算机存储介质存储用于电子数据交换的计算机程序，该计算机程序使得计算机执行如上述方法实施例中记载的任一方法的部分或全部步骤，上述计算机包括电子设备。
本申请实施例还提供一种计算机程序产品，上述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，上述计算机程序可操作来使计算机执行如上述方法实施例中记载的任一方法的部分或全部步骤。该计算机程序产品可以为一个软件安装包，上述计算机包括电子设备。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如上述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可 以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
上述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
上述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储器中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储器中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本申请各个实施例上述方法的全部或部分步骤。而前述的存储器包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储器中，存储器可以包括：闪存盘、只读存储器(英文：Read-Only Memory，简称：ROM)、随机存取器(英文：Random Access Memory，简称：RAM)、磁盘或光盘等。
以上对本申请实施例进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请的方法及其核心思想；同时，对于本领域的一般技术人员，依据本申请的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本申请的限制。

Claims (10)

  1. 一种齿轮组异常的检测方法，其特征在于，应用于振动检测设备，所述方法包括：
    获取设置于机动车变速器中的目标齿轮组在工作状态下的原始视频；
    根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；
    根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；
    根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。
  2. 根据权利要求1所述的方法，其特征在于，所述参考振动数据包括N个子振动数据，所述N个子振动数据中的每个子振动数据对应所述变速器的一个档位，N为正整数；所述根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因，包括：
    获取所述变速器的标识信息；
    根据所述标识信息查询预设的数据库，获取所述变速器在每个档位对应的标准振动数据，得到N个标准振动数据，所述标准振动数据包括所述变速器在所述每个档位时振动幅度、振动频率、振动相位和时域波形分别应当处于的正常范围；
    根据所述每个子振动数据对应的一个所述标准振动数据判断所述N个子振动数据是否符合标准；
    若判断出所述N个子振动数据均不符合标准，则确定所述变速器的输入轴上的主齿轮存在故障；
    若判断出所述N个子振动数据中的M个子振动数据不符合标准，则确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障，M为小于N的正整数。
  3. 根据权利要求2所述的方法，其特征在于，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述方法还包括：
    确定目标子振动数据中包括的目标振动幅度、目标振动频率和目标时域波形；
    计算所述目标振动幅度和预设幅度的差值；
    若判断出所述差值大于第一预设差值且所述目标振动频率小于等于预设频率，且所述目标时域波形为周期波形，且单个周期内线条平滑，则确定所述目标子振动数据对应的齿轮磨损严重。
  4. 根据权利要求2所述的方法，其特征在于，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述方法还包括：
    确定目标子振动数据中包括的目标振动幅度、目标振动频率和目标时域波形；
    若判断出所述目标振动幅度大于等于所述预设幅值，所述目标振动频率小于等于所述预设频率，且所述时域波形为周期波形，且单个周期内存在异常波动点，则确定所述目标 子振动数据对应的齿轮中存在至少一个故障齿牙。
  5. 根据权利要求2所述的方法，其特征在于，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述方法还包括：
    确定目标子振动数据中包括的目标时域波形；
    若判断出所述目标时域波形为非周期波形，则确定所述目标子振动数据对应的齿轮松动。
  6. 根据权利要求2所述的方法，其特征在于，所述标准振动数据包括预设幅值和预设频率，所述确定所述变速器的输出轴上所述M个子振动数据对应的M个副齿轮存在故障之后，所述方法还包括：
    确定目标子振动数据中包括的时域波形；
    在所述振动检测设备的显示屏上显示所述时域波形，根据用户的录入本端的信息判断所述目标子振动数据对应的齿轮是否异常以及所述对应的齿轮为异常的情况下的第一异常原因；根据所述第一异常原因生成第一标签信息，在所述目标视频的信息中添加所述第一标签信息。
  7. 根据权利要求1-6任一项所述的方法，其特征在于，所述原始视频中包括所述变速器在换挡过程中的原始换挡视频，所述目标视频包括所述原始换挡视频对应的目标换挡视频，所述根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因，包括：
    根据所述目标换挡视频确定第一振动幅度；
    判断所述第一振动幅度是否小于等于预设幅值；
    若否，则确定所述变速器中的套筒存在故障或者所述套筒缺少润滑剂。
  8. 一种齿轮组异常的检测装置，其特征在于，应用于振动检测设备，所述装置包括处理单元和通信单元，其中，
    所述处理单元，用于通过所述通信单元获取设置于机动车变速器中的目标齿轮组在工作状态下的原始视频，根据预设视频处理策略处理所述原始视频得到具有运动放大效果的目标视频，所述运动放大效果是指所述目标齿轮组发生运动的区域的运动情况在所述目标视频中是经过放大处理的；以及用于根据所述目标视频生成所述目标齿轮组的参考振动数据，所述振动数据包括以下至少一种：振动幅度、振动频率、振动相位和时域波形；以及用于根据所述目标视频和/或所述参考振动数据确定所述目标齿轮组的异常原因。
  9. 一种电子设备，其特征在于，包括处理器、存储器、通信接口，以及一个或多个程序，所述一个或多个程序被存储在所述存储器中，并且被配置由所述处理器执行，所述程序包括用于执行如权利要求1-7任一项所述的方法中的步骤的指令。
  10. 一种计算机可读存储介质，其特征在于，存储用于电子数据交换的计算机程序，其中，所述计算机程序使得计算机执行如权利要求1-7任一项所述的方法。
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