Method for detecting a concealed door handle for a motor vehicle

Abstract

The application discloses a detection method for a hidden door handle of an automobile, which comprises the following steps: arranging preset grating reference points on a plurality of measuring positions on the surface of a hidden door handle body of the automobile; performing double-wavelength optical interference measurement on the grating reference points; obtaining displacement change data of each measuring point by analyzing the phase difference change of interference fringes formed by two kinds of wavelength lasers; performing operation on the displacement change data by using a phase unwrapping algorithm to obtain three-dimensional position coordinate data of each measuring point; calculating the deviation value between an actual size and a standard size according to the three-dimensional position coordinate data, and generating size deviation distribution data; performing multi-dimensional feature analysis on the size deviation distribution data, and extracting size feature data of a handle stroke distance, a swing angle and a gap value; and performing statistical analysis based on the size feature data to obtain a size stability evaluation result of the handle structure. The technical scheme of the application realizes high-precision measurement and evaluation on the slight deformation of the hidden door handle of the automobile under a dynamic working condition.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobile part detection, and particularly relates to a detection method for a hidden door handle of an automobile. BACKGROUND

[0002] With the development of automobile design towards higher aesthetic and aerodynamic requirements, the hidden door handle has become an important configuration of high-end automobiles. The hidden door handle adopts a design scheme of motor driving in cooperation with a multi-link mechanism, and realizes the pop-out and retraction actions of the handle through a complex transmission structure. In the static state, the handle is completely hidden on the surface of the door, keeping the appearance streamlined; when used, the handle is popped out from the surface of the door to a preset position through the driving of the motor and the transmission mechanism, and after the door opening action is completed, the handle is driven to return to the position and completely adhere to the surface of the door through the mechanism.

[0003] The detection of the hidden door handle mainly focuses on the dimensional stability thereof in the actual use process, including the pop-out stroke distance, the swing angle and the gap value and other key parameters. The existing detection method mainly adopts a single-point displacement sensor or a vision system to measure, and this method can obtain basic size data under ideal static conditions. However, in the actual use process, when the user applies a force to the handle, the handle mechanism will produce a slight instantaneous deformation. Since the traditional measurement method adopts a fixed measurement scheme, and the setting of the measurement points is limited, it is impossible to realize high-precision measurement and evaluation of these slight deformations under dynamic working conditions, which directly affects the effectiveness of product quality control. SUMMARY

[0004] The main purpose of the present application is to solve the technical problem that the existing detection method cannot realize high-precision measurement and evaluation of the slight deformation of the hidden door handle mechanism under dynamic working conditions.

[0005] The first aspect of the present application provides a detection method for a hidden door handle of an automobile, which comprises:

[0006] a plurality of measurement positions on the surface of the body of the hidden door handle of the automobile are arranged with preset grating reference points;

[0007] the grating reference points are subjected to double-wavelength optical interference measurement, and the displacement change data of each measurement point is obtained by analyzing the phase difference change of the interference fringes formed by two wavelengths of laser;

[0008] the three-dimensional position coordinate data of each measurement point is obtained by using a phase unwrapping algorithm to operate according to the displacement change data;

[0009] the deviation value between the actual size and the standard size is calculated according to the three-dimensional position coordinate data, and the size deviation distribution data is generated;

[0010] performing multi-dimensional feature analysis on the size deviation distribution data to extract size feature data of handle stroke distance, swing angle and gap value;

[0011] performing statistical analysis based on the size feature data to obtain a size stability evaluation result of the automobile hidden door handle.

[0012] Optionally, the preset grating reference points are arranged on the plurality of measurement positions on the surface of the automobile hidden door handle body, including:

[0013] The automobile hidden door handle is divided into a handle holding area, a main hinge shaft area, a driving link area, a pop-up mechanism area and a door panel bonding area;

[0014] A first density of cross grating points is arranged along the stress direction of the surface of the handle holding area, and a second density of cross grating points is arranged along the edge of the door panel bonding area;

[0015] A first group of annular grating points is arranged at the shaft end of the main hinge shaft area, a second group of annular grating points is arranged at the connection of the driving link area, and a third group of annular grating points is arranged at the driving end of the pop-up mechanism area.

[0016] Optionally, the first group of annular grating points is arranged at the shaft end of the main hinge shaft area, the second group of annular grating points is arranged at the connection of the driving link area, and the third group of annular grating points is arranged at the driving end of the pop-up mechanism area, including:

[0017] A coaxial inner ring grating and an outer ring grating are arranged at the bearing seat positions of the two ends of the main hinge shaft area, respectively, to form the first group of annular grating points;

[0018] A reversely arranged annular grating array is arranged at the upper end connection point and the lower end connection point of the driving link area, respectively, to form the second group of annular grating points;

[0019] A cross-arranged radial grating and a circumferential grating are arranged at the motor output end and the transmission end of the pop-up mechanism area, respectively, to form the third group of annular grating points.

[0020] Optionally, the double-wavelength optical interference measurement is performed on the grating reference points, and displacement change data of each measurement point is obtained by analyzing the phase difference change of interference fringes formed by two wavelengths of laser, including:

[0021] The cross grating points and the annular grating points are respectively irradiated by double-wavelength laser to obtain a first interference fringe pattern and a second interference fringe pattern;

[0022] During the handle pop-up movement, dynamic change sequences of the first interference fringe pattern and the second interference fringe pattern are respectively collected to obtain interference fringe change data.

[0023] calculating a phase change amount of the interference fringes according to the interference fringe change data, converting the phase change amount into a displacement amount, and obtaining initial displacement data;

[0024] performing attitude compensation on the initial displacement data to eliminate measurement errors caused by handle rotation, and obtaining compensated displacement data;

[0025] classifying the compensated displacement data according to measurement regions, and obtaining displacement change data of each measurement point.

[0026] Optionally, the calculating a phase change amount of the interference fringes according to the interference fringe change data, converting the phase change amount into a displacement amount, and obtaining initial displacement data, comprises:

[0027] extracting fringe displacement in orthogonal directions from the interference fringe change data of the cross grating points, and obtaining planar displacement phase data;

[0028] extracting fringe displacement in radial and circumferential directions from the interference fringe change data of the ring grating points, and obtaining rotational displacement phase data;

[0029] calculating a two-wavelength beat signal according to the planar displacement phase data and the rotational displacement phase data, and obtaining synthetic phase data;

[0030] performing phase unwrapping operation according to the synthetic phase data to restore the phase value to an actual displacement value, and obtaining initial displacement data.

[0031] Optionally, the performing phase unwrapping operation according to the displacement change data to obtain three-dimensional position coordinate data of each measurement point, comprises:

[0032] classifying the displacement change data according to the motion type of the handle, separating displacement data of planar motion regions and displacement data of rotational motion regions, and obtaining classified displacement data;

[0033] performing two-dimensional phase unwrapping operation on the planar motion regions in the classified displacement data, converting displacement of the cross grating points into planar coordinate values, and obtaining planar position data;

[0034] performing polar coordinate phase unwrapping operation on the rotational motion regions in the classified displacement data, converting displacement of the ring grating points into spatial angle values, and obtaining angle position data;

[0035] calculating relative spatial relationships between each measurement point according to the planar position data and the angle position data, and obtaining relative coordinate data;

[0036] Perform coordinate system conversion on the relative coordinate data to convert the position of each measurement point to a unified spatial coordinate system to obtain three-dimensional position coordinate data of each measurement point.

[0037] Optionally, the deviation value of the actual size from the standard size is calculated according to the three-dimensional position coordinate data to generate size deviation distribution data, including:

[0038] The three-dimensional position coordinate data is grouped according to the functional area of the handle to separate the holding area data, the hinged area data, the transmission area data, and the pop-up area data to obtain partition position data;

[0039] The surface profile deviation and the holding area cross-sectional size deviation are calculated for the holding area data to obtain first area deviation data;

[0040] The rotation center offset and the rotation angle deviation are calculated for the hinged area data to obtain second area deviation data;

[0041] The connection point gap value and the transmission axis deviation are calculated for the transmission area data to obtain third area deviation data;

[0042] The stroke distance deviation and the motion trajectory deviation are calculated for the pop-up area data to obtain fourth area deviation data;

[0043] The first area deviation data, the second area deviation data, the third area deviation data, and the fourth area deviation data are integrated to obtain size deviation distribution data.

[0044] Optionally, the size deviation distribution data is subjected to multi-dimensional feature analysis to extract size feature data of the handle stroke distance, swing angle, and gap value, including:

[0045] The size deviation distribution data is time-sequentially segmented according to the handle pop-up process, the opening process, and the return process to obtain segmented deviation data;

[0046] The initial pop-up distance, the maximum pop-up distance, and the stable pop-up position in the pop-up process are calculated according to the segmented deviation data to obtain stroke feature data;

[0047] The initial angle, the maximum opening angle, and the return termination angle in the opening process are calculated according to the segmented deviation data to obtain angle feature data;

[0048] The gap change amount of the handle and the vehicle door in the pop-up direction, the vertical direction, and the horizontal direction is calculated according to the segmented deviation data to obtain gap feature data;

[0049] The size feature data is obtained by performing feature correlation analysis using the stroke feature data, the angle feature data, and the gap feature data.

[0050] Optionally, the statistical analysis based on the size feature data obtains a size stability evaluation result of the automobile hidden door handle, and the statistical analysis based on the size feature data includes:

[0051] The size feature data is grouped according to normal temperature operation, low speed operation, high speed operation and continuous operation to obtain grouped feature data;

[0052] The discrete coefficients of the ejection position, the opening angle and the gap distribution are calculated according to the grouped feature data to obtain repetitive statistical data;

[0053] The repetitive statistical data is subjected to cross analysis of working conditions to calculate the size change trend under each working condition to obtain trend feature data;

[0054] The corresponding relationship between the operation frequency and the size change amount is calculated according to the trend feature data to obtain cumulative effect data;

[0055] The cumulative effect data is compared with a standard tolerance range to obtain the size stability evaluation result of the automobile hidden door handle.

[0056] Optionally, the cross analysis of the repetitive statistical data under working conditions to calculate the size change trend under each working condition to obtain trend feature data includes:

[0057] The normal temperature operation data and the low speed operation data in the repetitive statistical data are paired to calculate the influence coefficient of the ejection speed on the ejection position deviation, the opening angle deviation and the gap distribution deviation to obtain first working condition combination data;

[0058] The normal temperature operation data and the high speed operation data in the repetitive statistical data are paired to calculate the influence coefficient of the handle return speed on the closing track deviation, the return angle deviation and the sealing gap deviation to obtain second working condition combination data;

[0059] The normal temperature operation data and the continuous operation data in the repetitive statistical data are paired to calculate the influence coefficient of the operation frequency on the hinged shaft center deviation, the transmission mechanism gap and the motor output deviation to obtain third working condition combination data;

[0060] The first working condition combination data, the second working condition combination data and the third working condition combination data are subjected to priority sorting to identify the dominant influence factors of each operation working condition to obtain working condition influence data;

[0061] According to the working condition influence data, an attenuation relationship of the handle performance under each operation working condition is established to obtain trend feature data.

[0062] The detection method arranges multiple sets of grating reference points on the surface of the hidden door handle body, and applies the dual-wavelength optical interference measurement principle to these reference points, captures the dynamic change of the interference fringe phase difference in the whole process of handle movement, and obtains the displacement data of each region. The dual-wavelength mode of interference measurement can effectively improve the resolution accuracy of micro displacement. When two laser beams of different wavelengths are superimposed to form a beat frequency signal, the phase difference change of the fringe will be slightly offset with the deformation of the handle structure; by demodulating the offset, not only the displacement value of each measurement point can be restored, but also the data information of the plane movement and the rotational movement can be converted into three-dimensional position coordinates through subsequent phase unwrapping algorithm. The measurement process continues in the instantaneous working condition of the handle pop-out and return, relying on a large amount of real-time interference fringe data, the instantaneous deformation of the handle surface and the key transmission area can be accurately captured. Then, the obtained three-dimensional coordinates are compared with the set reference size, and the size deviation distribution of the handle in different functional areas can be obtained. On this basis, multi-dimensional feature analysis can be carried out to comprehensively quantify important indicators such as stroke distance, swing angle and gap change. Unlike the fixed or single-point measurement method in the past, which can only obtain limited displacement data under nearly static conditions, this method can obtain dynamic deformation distribution of multiple measurement points under actual force conditions, and through synchronous measurement and difference analysis of each key component, the problem of being unable to accurately capture instantaneous deformation and comprehensively reflect the real working state of the mechanism is solved, thereby realizing high-precision measurement and comprehensive evaluation of the micro deformation of the hidden door handle mechanism under actual use conditions, and greatly improving the reliability and integrity of the detection. BRIEF DESCRIPTION OF DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from the structures shown in these drawings without creative labor.

[0064] Figure 1 An embodiment schematic diagram of the detection method for the automobile hidden door handle in the embodiments of the present application.

[0065] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0066] With reference to the drawings and embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0067] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, motion condition, etc. between components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly.

[0068] In addition, the description of "first", "second" and the like in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the technical features or implicitly indicating the number of the technical features. Therefore, the features defined as "first", "second" can explicitly or implicitly include at least one of the features. In addition, "and / or" throughout the text includes three solutions, for example, A and / or B includes A technical solution, B technical solution, and A and B simultaneously meet the technical solution; in addition, the technical solutions of each embodiment can be combined with each other, and it must be based on the realization of the person skilled in the art, when the combination of technical solutions appears contradictory or cannot be realized, it should be considered that the combination of technical solutions does not exist, nor within the scope of protection claimed by the present application.

[0069] An embodiment of the present application provides a detection method for a hidden door handle of a vehicle. Figure 1 An embodiment of the present application provides a flow chart of a detection method for a hidden door handle of a vehicle. In the embodiment, the method comprises:

[0070] Please refer to Figure 1 The preset grating reference points are arranged at a plurality of measurement positions on the surface of the body of the hidden door handle of the vehicle.

[0071] In an embodiment of the present application, the arrangement of the preset grating reference points at the plurality of measurement positions on the surface of the body of the hidden door handle of the vehicle comprises:

[0072] The hidden door handle of the vehicle is divided into a handle holding area, a main hinge shaft area, a driving link area, a pop-up mechanism area and a door panel bonding area.

[0073] The first density of cross grating points are arranged along the stress direction of the surface of the handle holding area, and the second density of cross grating points are arranged along the edge of the door panel bonding area.

[0074] The first group of annular grating points are arranged at the shaft ends of the main hinge shaft region, the second group of annular grating points are arranged at the connection of the driving link region, and the third group of annular grating points are arranged at the driving end of the pop-up mechanism region.

[0075] Specifically, the region division of the hidden handle of the automobile is based on the accurate structural features. The handle holding region starts from the front edge of the exposed part of the handle and extends to the connection between the rear end and the hinge shaft. The specific range includes the entire gripping part of the exposed curved surface. The surface of this region is arc-shaped and recessed, which is convenient for finger gripping. The main hinge shaft region is located at the rotation fulcrum of the rear end of the handle and contains the cylindrical shaft segment between the two bearing seats. The driving link region includes the driving link extending from the motor output shaft and the driven link connected to the driving link. The pop-up mechanism region is composed of the motor fixed base and the motor output shaft. The door panel fitting region is an annular region extending inward from the edge of the handle. This region is completely fitted with the outer panel of the door when the handle is retracted.

[0076] In terms of grating point layout, the handle holding region adopts a density of 16 points per square centimeter to layout cross grating points, in which the two grating lines of the cross are parallel to the length direction of the handle and perpendicular to the surface of the door. When the user pulls the handle, this layout enables the parallel grating line to capture the bending deformation of the handle, and the perpendicular grating line to monitor the stretching deformation. The door panel fitting region adopts a density of 25 points per square centimeter to layout cross grating points, and the grating lines are parallel and perpendicular to the edge contour of the handle, so as to accurately monitor the change of the fitting gap between the handle and the door during retraction.

[0077] For the grating layout of the moving parts, a concentric ring design is adopted. A group of annular grating points with a diameter of 10 mm are arranged at the bearing seats of the two ends of the main hinge shaft region. The annular grating is provided with 5 concentric circles from the inner circle to the outer circle, and the circle spacing is 0.5 mm. This design enables the moire fringes generated by the annular grating to directly reflect the rotation angle when the handle rotates. The second group of annular grating points with a diameter of 8 mm are arranged at the two hinge points of the driving link region, and 5 concentric circles are also arranged for monitoring the pivoting movement of the link. The third group of annular grating points with a diameter of 12 mm are arranged at the output shaft end of the pop-up mechanism region, and the number of concentric circles of the annular grating is increased to 8 to improve the measurement accuracy of the rotation angle of the driving end of the motor.

[0078] When the dual-wavelength laser is incident on the grating surface at an angle of 45 degrees, the reflected light and the reference light interfere to form characteristic fringes. For the cross grating points, the direction and size of the surface deformation can be obtained by analyzing the displacement of the interference fringes. When the surface of the handle is deformed, the phase of the interference fringes changes, and there is a certain correspondence between the amount of phase change and the actual displacement. For the ring grating points, the laser beam is incident along the axial direction, and when rotation occurs, the deformation of the ring grating will cause radial distortion of the interference pattern. By analyzing this distortion, the rotation angle can be accurately calculated. This differentiated grating arrangement scheme realizes the full-range deformation monitoring of the handle, and not only can the small deformation of the surface be obtained, but also the angular displacement of each rotating part can be accurately measured.

[0079] In an embodiment of the present application, the first group of ring grating points is arranged at the shaft end of the main hinge shaft area, the second group of ring grating points is arranged at the connection of the driving link area, and the third group of ring grating points is arranged at the driving end of the ejection mechanism area, comprising:

[0080] The coaxial inner ring grating and outer ring grating are arranged at the bearing seat positions of the two ends of the main hinge shaft area to form the first group of ring grating points;

[0081] The reversely arranged ring grating arrays are arranged at the upper end connection point and the lower end connection point of the driving link area to form the second group of ring grating points;

[0082] The cross-arranged radial grating and circumferential grating are arranged at the motor output end and the transmission end of the ejection mechanism area to form the third group of ring grating points.

[0083] Specifically, the coaxial inner ring grating and outer ring grating are arranged at the bearing seat positions of the two ends of the main hinge shaft area, which aims to synchronously observe the rotation and skew of the main hinge shaft in different motion states through the two concentric circular arrays. There is a certain radius difference between the inner ring grating and the outer ring grating, and when the dual-wavelength laser irradiates the surfaces of the two groups of ring gratings, interference fringe signals corresponding to the axial region and the outer region can be obtained. If the main hinge shaft has an angular offset or local deformation during the ejection or return process, the fringes generated by the inner and outer gratings will have a relative displacement, and this displacement will continue to accumulate as the rotation angle increases. By combining and solving these two groups of interference signals, the skew amplitude and the torsion of the main hinge shaft can be more accurately obtained, and it can be judged whether there is a gap in the bearing seat under load. For example, when the external force is not applied to the shaft end in the normal pulling direction of the handle, the difference in the interference fringes between the inner and outer ring gratings can indicate whether the bearing seat is subjected to additional eccentric load.

[0084] When the upper end connection point and the lower end connection point of the driving connecting rod area are respectively provided with oppositely arranged annular grating arrays, the opposite arrangement refers to arranging the annular gratings at the two ends in opposite directions and opposite reference coordinate systems. For example, in the upper end connection point, the concentric circles of the annular grating are arranged in a clockwise direction with the center axis of the connecting rod as the reference, while in the lower end connection point, the same number and spacing of concentric circles are arranged in a counterclockwise direction. In this way, the pivoting or bending process can be observed from both ends at the same time on the same connecting rod. Once the connecting rod is twisted or bent due to uneven force, the annular grating stripes at the upper end and the lower end will appear offset in opposite directions. The comparison and superposition of the data at the two ends can make the detection system more accurately extract the twist angle or the local bending amount, and help to judge the stress distribution of the connecting rod as a whole.

[0085] When the motor output end and the transmission end of the ejection mechanism area are respectively provided with cross-arranged radial gratings and circumferential gratings, the cross-arrangement refers to the perpendicular distribution of the two gratings on the same circular surface. For example, a plurality of radial gratings are radiated outward along the radial direction of the motor output shaft, and the circumferential gratings are arranged at equal intervals along the annular direction perpendicular to the radial gratings. In this way, both the radial deformation of the output end or the transmission end and the stripe distortion caused by the circumferential rotation can be captured on the same grating surface. If the motor is obviously stretched or bent in the axial direction during startup, the radial grating will show the radial stripe shift in the interference pattern, and the circumferential grating can monitor the rotational deviation and timely reflect the rotation accuracy of the motor shaft and the transmission device. Through this cross arrangement, the measurement system can analyze the axial and circumferential deformation at the same time, which is convenient for further comprehensive analysis combined with algorithms to identify the specific reasons for the abnormal ejection action.

[0086] Please continue to refer to Figure 1 The grating reference points are measured by double-wavelength optical interference, and the displacement change data of each measurement point is obtained by analyzing the phase difference change of the interference fringes formed by the two wavelengths of laser;

[0087] In an embodiment of the present application, the double-wavelength optical interference measurement of the grating reference points, by analyzing the phase difference change of the interference fringes formed by the two wavelengths of laser, obtains the displacement change data of each measurement point, including:

[0088] The cross grating points and the annular grating points are respectively irradiated with double-wavelength laser to obtain a first interference fringe pattern and a second interference fringe pattern;

[0089] During the handle ejection movement, the dynamic change sequences of the first interference fringe pattern and the second interference fringe pattern are collected respectively to obtain interference fringe change data;

[0090] According to the interference fringe change data, a phase change amount of the interference fringe is calculated, the phase change amount is converted into a displacement amount, and initial displacement data is obtained;

[0091] The initial displacement data is subjected to attitude compensation, measurement errors caused by handle rotation are eliminated, and compensated displacement data is obtained.

[0092] The compensated displacement data is classified according to a measurement region, and displacement change data of each measurement point is obtained.

[0093] Specifically, in this embodiment, first, dual-wavelength laser irradiation is required for the cross-shaped grating points and the ring-shaped grating points respectively, and two wavelength superimposed interference patterns are formed. In order to achieve this process, a dual-wavelength light source can be arranged in each grating region, and two lasers of different wavelengths are respectively projected onto the corresponding grating surface through an optical beam splitter and a collimating device. When the cross-shaped grating is under oblique incidence irradiation, an interference pattern formed by the interlaced plane lines, i.e. a first interference fringe pattern, is presented in the imaging area of the detector; and due to the characteristic of concentric circle distribution, the ring-shaped grating presents a different fringe pattern, i.e. a second interference fringe pattern, after receiving the same dual-wavelength irradiation. The two patterns remain dynamic changes during the handle movement, and with each moment of the handle slowly popping out or returning to the hidden position, the phase of the fringe will be displaced with the slight deformation. Through real-time collection by a high-speed camera or a photoelectric sensing component, the change sequences of the two interference patterns can be obtained, and these sequence data are recorded as interference fringe change data.

[0094] After the collection of the interference fringe change data is completed, a phase analysis method of interference measurement is required to calculate the phase change amount of the fringe. The advantage of dual-wavelength interference is that the precision can be improved through the beat frequency effect. When the two lasers produce superimposed interference on the grating surface, there is a clear corresponding function between the movement of the fringe and the spatial displacement. After the fringe movement amount is converted into a phase change amount, and with the help of the calibrated grating period constant and optical path parameters, the displacement data of each grating point, referred to as initial displacement data, can be obtained. Since the pop-out action of the handle is not only translation but also a certain angle tilt or rotation, attitude compensation is required for the initial displacement data at this stage to eliminate the errors caused by the overall rotation. The attitude compensation can combine the angle information collected in the hinge shaft area or the driving link area, and through the establishment of a coordinate transformation matrix, the false displacement caused by the overall rotation is corrected, so that more accurate compensated displacement data is obtained.

[0095] After obtaining the displacement data after compensation, the data can be classified according to the previously divided regions, so as to classify the data of the corresponding grating points into the corresponding groups based on different functional regions such as the handle holding region, the main hinge shaft region, the driving connecting rod region, the ejection mechanism region and the door plate fitting region. In this way, the real deformation conditions of each region during the entire handle movement can be mastered. For example, the cross grating points are usually distributed in the parts that are easy to bend or are subjected to tension, and after phase analysis and attitude compensation, the micron-level deformation values of the surface of the holding region can be obtained immediately; and the annular grating points are mostly arranged on rotating or pivoting parts, and after analysis, the angular deviation of each hinge or connecting rod end can be obtained. On this basis, by comparing the displacement data of different regions with the previous reference size, it can be quickly determined whether there is an unexpected deformation, and then the reliability and stability of the handle during ejection or return can be judged. Through this systematic two-wavelength interference analysis and attitude compensation correction, not only can the cross grating and the annular grating be measured and data calculated step by step, but also high-precision deformation results can be obtained under the actual working conditions of the handle movement, which provides more sufficient data support for subsequent comprehensive evaluation and improved design.

[0096] In an embodiment of the present application, the calculating the phase change amount of the interference fringes from the interference fringe change data, converting the phase change amount into displacement amount, and obtaining initial displacement data, comprises:

[0097] extracting the fringe displacement in the orthogonal direction from the interference fringe change data of the cross grating points to obtain planar displacement phase data;

[0098] extracting the fringe displacement in the radial direction and the circumferential direction from the interference fringe change data of the annular grating points to obtain rotational displacement phase data;

[0099] calculating a two-wavelength beat frequency signal from the planar displacement phase data and the rotational displacement phase data to obtain synthetic phase data;

[0100] performing a phase unwrapping operation according to the synthetic phase data to restore the phase value to the actual displacement value to obtain initial displacement data.

[0101] Specifically, when the dual-wavelength laser is irradiated to the cross-intersection grating points, two sets of interference fringes arranged in orthogonal directions appear on the grating surface, one set is parallel to the length direction of the handle surface, and the other set is perpendicular to the outer wall of the door. By separating the phase changes of the two sets of fringes, the small displacements of planar motions such as pulling and bending can be captured respectively, and then the two sets of fringe displacements are combined through a data processing algorithm to obtain planar displacement phase data. In order to more clearly illustrate this separation and combination process, a Fourier transform-based phase analysis method can be used after image acquisition: first, a two-dimensional Fourier transform is performed on the gray scale distribution of the orthogonal fringes to identify the main frequency component and the phase center position of each set of fringes in the frequency domain, and then the extracted phase distribution is recorded as φ h (x,y) (corresponding to the parallel direction) and φ v (x,y) (corresponding to the vertical direction). When the holding area is pulled by an external force, the horizontal fringes often exhibit stretching or compression, and the vertical fringes may exhibit varying degrees of bending changes. By comparing the phase difference between the original image and the deformed image, the incremental phase values in each direction can be obtained. When combining the two sets of phase values, φ h and φ v can be projected onto the same plane in the coordinate system to form planar displacement phase data, thereby quantitatively describing the overall deformation of the region.

[0102] The annular grating points are mainly arranged at rotating or pivoting positions. After the incident laser irradiates the concentric circular structure, two types of fringes, radial and circumferential, are formed: the variation of the radial fringes corresponds to the small displacement in the axial direction, and the distortion of the circumferential fringes reflects the rotation angle or the torque distribution. In order to separate the two parts of the fringes and obtain the corresponding phase values, the annular grating image can be converted to a polar coordinate system, and the gray scale distribution in the radial direction and the gray scale distribution in the circumferential direction are extracted respectively, which are recorded as φ r (r,θ) and φ a (r,θ). In the main hinge axis area or the driving link area, if eccentricity or torsion occurs, the radial and circumferential phases will have their own dynamic changes. Subsequently, through the beat frequency effect, the planar displacement phase data and the rotational displacement phase data are fused into the synthetic phase data. The realization of the beat frequency effect is based on using two lasers of different wavelengths (e.g., λ1 and λ2) to irradiate the same grating, and a synthetic wavelength λ s =(λ1×λ2) / |λ1-λ2| is constructed in the interference. When the phases φ1 and φ2 under the two wavelengths are measured respectively, the synthetic phase φ s can be formed through subtraction or correlation calculation, thereby eliminating the 2π ambiguity in the case of a single wavelength. If it is necessary to convert the synthetic phase into the actual displacement Δd, the following formula can be applied: Δd=(λ s / 2π)×Δφ s , where Δφ sThe phase difference value of the beat signal.

[0103] Finally, when performing the phase unwrapping operation on the synthetic phase data, the phase jump is unfolded as a continuous distribution and mapped to the real displacement according to the known optical path, grating period constant and measurement reference distance. The phase unwrapping can usually correct the mutation position exceeding ±π by using an image processing algorithm, and ensure that the final output phase remains coherent in the global coordinates. For example, in the rotation detection of the driving connecting rod area, if the circumferential stripe is greatly offset under the action of external force, the phase peak value in the beat signal will change significantly, and the real rotation angle and bending amount of the connecting rod can be accurately calculated through unwrapping. In this way, the multi-dimensional deformation information of each area can be converted into quantifiable initial displacement data, and applied in subsequent attitude compensation and area classification, so as to further evaluate the slight deformation of the handle under various loads and dynamic working conditions.

[0104] Please continue to refer to Figure 1 According to the displacement change data, the three-dimensional position coordinate data of each measurement point is obtained by using a phase unwrapping algorithm.

[0105] In an embodiment of the present application, the displacement change data is classified according to the motion type of the handle, and the displacement data of the planar motion area and the displacement data of the rotational motion area are separated to obtain classified displacement data.

[0106] The displacement change data is classified according to the motion type of the handle, and the displacement data of the planar motion area and the displacement data of the rotational motion area are separated to obtain classified displacement data.

[0107] The two-dimensional phase unwrapping operation is performed on the planar motion area in the classified displacement data, and the displacement of the cross grating point is converted into a planar coordinate value to obtain planar position data.

[0108] The polar coordinate phase unwrapping operation is performed on the rotational motion area in the classified displacement data, and the displacement of the annular grating point is converted into a spatial angle value to obtain angle position data.

[0109] According to the planar position data and the angle position data, the relative spatial relationship between each measurement point is calculated to obtain relative coordinate data.

[0110] The coordinate system conversion is performed on the relative coordinate data to convert the positions of each measurement point to a unified spatial coordinate system to obtain the three-dimensional position coordinate data of each measurement point.

[0111] Specifically, in the arrangement of displacement change data, first of all, according to the motion type presented by the handle in different stages, the data is classified, and the planar motion region mainly characterized by translation or bending is separated from the rotational motion region mainly characterized by rotation or pivoting. Through the initial displacement data obtained in the previous step, it can be judged according to the position of the grating arrangement which measuring points produce horizontal or vertical displacement (i.e. planar motion) and which measuring points produce axial rotation angle or circumferential deformation (i.e. rotational motion). Once the attribution of each measuring point in kinematics is confirmed, the corresponding data can be classified into planar motion data set or rotational motion data set for subsequent differential processing. For example, if the cross grating points are distributed in the handle holding area or the door plate fitting area, the interference fringes reflect the planar displacement caused by stretching or extrusion, and the related phase values will be classified into planar motion data; and the annular grating points arranged at the end of the hinge shaft or the end of the connecting rod, if there is angular displacement or circumferential deflection, will be classified into rotational motion data set.

[0112] For planar motion data, two-dimensional phase unwrapping operation is needed to convert the displacement information of cross grating into intuitive planar coordinate values. The specific method is to analyze the phase components of orthogonal fringes into x direction and y direction displacement respectively, and then correct the jump area exceeding ±π in the phase unwrapping algorithm. The common implementation form of two-dimensional unwrapping algorithm is based on the idea of quality guidance or path tracking, which assigns a phase quality index to each image pixel (or grating sampling point), and preferentially expands the phase in high-quality areas to avoid errors caused by noise or local interference. After completing the unwrapping, the planar coordinates can be calculated by Δx=(λ s / 2π)×Δφ h and Δy=(λ s / 2π)×Δφ v and the like, where λ s is the synthetic wavelength formed by the beat frequency, and Δφ h and Δφ v correspond to the phase difference in horizontal and vertical directions respectively. In this way, the coordinates of each measuring point in the planar motion region of the handle can be obtained, and the accurate quantification of local bending or deformation under tension can be realized.

[0113] In the processing stage of rotational motion data, polar coordinate phase unwrapping operation is needed to convert the radial displacement and circumferential displacement of the annular grating into spatial angle values. At this time, the image or phase matrix is mapped to the polar coordinate domain, and the circumferential phase φ a (r,θ) and the radial phase φ r(r, θ) are unwrapped separately. If rotation around the hinge axis is detected in the hinge region, the circumferential fringes will produce a corresponding phase shift, which can be calculated by unwrapping; if a significant change in the radial component occurs in the link region, it indicates that local bending or twisting has occurred. By sequentially performing unwrapping on the radial and angular directions in the polar coordinate domain, the continuous phase distribution of the concentric circular array can be obtained, and it can be further mapped into spatial angle values or local arc length differences. After the unwrapping of the planar motion data and the rotational motion data is completed, the relative positions of each measurement point in its own local coordinate system can be calculated to obtain relative coordinate data. In order to let all measurement points share the same reference, a coordinate system conversion step needs to be performed to map both the planar coordinates and the angle coordinates into the global three-dimensional coordinate system in which the handle is located. At this time, through spatial registration of the known hinge reference points, link pivot reference points and handle surface reference points, a unified three-dimensional coordinate system can be established, and the offset or rotation angle of each measurement point can be accurately projected into the x-y-z coordinates, and finally the complete three-dimensional position coordinate data can be obtained. Through this series of steps, the information of planar motion and rotational motion is fully integrated, and the deformation of each functional area can be visualized and quantified in three-dimensional space.

[0114] Please continue to refer to Figure 1 According to the three-dimensional position coordinate data, calculate the deviation value of the actual size and the standard size, and generate size deviation distribution data;

[0115] In an embodiment of the present application, the three-dimensional position coordinate data is calculated according to the three-dimensional position coordinate data, and the deviation value of the actual size and the standard size is generated, including:

[0116] The three-dimensional position coordinate data is grouped according to the functional area of the handle, and the holding area data, the hinge area data, the transmission area data and the pop-up area data are separated to obtain partition position data;

[0117] The surface profile deviation and the holding area cross-sectional size deviation of the holding area data are calculated to obtain first area deviation data;

[0118] The rotation center offset and the rotation angle deviation of the hinge area data are calculated to obtain second area deviation data;

[0119] The connection point gap value and the transmission axis deviation of the transmission area data are calculated to obtain third area deviation data;

[0120] The stroke distance deviation and the motion trajectory deviation of the pop-up area data are calculated to obtain fourth area deviation data;

[0121] The first regional deviation data, the second regional deviation data, the third regional deviation data and the fourth regional deviation data are integrated to obtain size deviation distribution data.

[0122] It should be noted that before in-depth analysis of three-dimensional position coordinate data, the obtained coordinate information needs to be divided according to different functional areas, so as to more effectively calculate the specific deviation of each area. First, according to the previously established handle functional area range, all the measurement points corresponding to the gripping area are classified into a group, all the measurement points corresponding to the hinge area are classified into another group, and so on, and the measurement points corresponding to the transmission area and the ejection area are respectively arranged into respective data sets. After this operation, the gripping area will contain three-dimensional coordinate information of the exposed part of the handle surface, the hinge area will concentrate the position information near the main hinge shaft and bearing seat, the transmission area will mainly collect coordinate data of the connecting rod and driving part, and the ejection area will contain coordinate results of the motor output end and the transmission end. Through this grouping, each area can be processed according to its characteristics when calculating the deviation subsequently.

[0123] The gripping area data is usually related to surface profile and cross-sectional size, so in the corresponding coordinate data, several representative cross-sectional curves can be selected for fitting, or curvature analysis can be performed on the three-dimensional grid to obtain the dispersion or deviation value of the surface profile. Assuming that one or more reference curves are specified in this area, the three-dimensional coordinates can be projected onto the curve direction to calculate the curve fitting error, which represents the deviation of the surface profile. At the same time, the method for obtaining the cross-sectional size deviation can be based on selecting several characteristic cross sections in the gripping area, comparing the measurement coordinates with the corresponding cross sections of the design model, and obtaining the numerical difference of the cross-sectional height or width. Integrating these error data can form the first regional deviation data.

[0124] The hinge area data is closely related to the accuracy of the rotation center position and the rotation angle, so the center line of the bearing seat left and right endpoints in the three-dimensional coordinate system can be calculated, and then compared with the ideal design position to obtain the rotation center offset. If the hinge shaft itself has slight distortion or assembly error, the three-dimensional coordinate data will show that the bearing seat and the theoretical position have a distance difference, and this distance difference can be regarded as the offset value of the rotation center. In addition, the extraction of the rotation angle deviation can combine the previous ring grating phase analysis results to evaluate the difference between the actual rotation angle and the nominal value in three-dimensional space. When the shaft end or axis of this area cannot maintain the same design angle after loading, it will show the deviation amplitude in the angle in the measurement coordinates, and all these data together constitute the second regional deviation data.

[0125] The transmission zone data generally focuses on the gap state of the connection and the correctness of the transmission axis. In order to quantify the connection point gap value, the distance between the coordinates of the upper and lower end connection points of the connecting rod can be calculated respectively, and compared with the pre-set ideal value, so as to obtain the result whether there is excessive looseness or excessive pre-tightening. The transmission axis deviation is mainly compared with the axis defined during design through the center line of the connecting rod. If the measured center point coordinate of the connecting rod deviates from the ideal axis in three-dimensional space by a certain value, it can be considered as the deviation amount. If the transmission assembly appears fatigue or bending after high speed or multiple cycles, the deviation will be further increased, and the center line will gradually appear continuous displacement in a certain direction in the measured data. All these information can form the third area deviation data after being combined.

[0126] The ejection zone data focuses on the stroke distance and the motion trajectory. The stroke distance deviation can be obtained by comparing the coordinate change amount of the motor driving end from the initial position to the termination position of the full ejection, and comparing with the design parameters to see whether the expected ejection stroke is met. The motion trajectory deviation can be presented in the form of a three-dimensional path. After comparing a series of displacement coordinates of the motor output end or the transmission end with the theoretical trajectory, the spatial coincidence degree or the deviation value of the trajectory can be obtained. If there is obvious bending or winding phenomenon, it means that abnormal deformation occurs under certain external force or assembly factor. After summarizing these results, the fourth area deviation data can be generated.

[0127] After the above partition deviation calculation is completed, the deviation data obtained from the four areas can be further integrated and compared to form the size deviation distribution data. This integration process can map the position information of the holding area, the hinge area, the transmission area and the ejection area to the same visualization platform. The deviation amplitude of each area can be displayed through a color chart or an isometric chart, and the quantitative comparison of each element can be summarized through a numerical table. In this way, more comprehensive basis can be provided for subsequent design improvement or use evaluation, and the deviations generated in different areas can be referred to each other, so as to finally help determine the size stability and functional reliability of the hidden door handle under dynamic working conditions.

[0128] Please continue to refer to Figure 1 performing multi-dimensional feature analysis on the size deviation distribution data to extract size feature data of the handle stroke distance, the swing angle and the gap value;

[0129] In an embodiment of the present application, the multi-dimensional feature analysis on the size deviation distribution data to extract size feature data of the handle stroke distance, the swing angle and the gap value comprises:

[0130] segmenting the size deviation distribution data according to the handle ejection process, the opening process and the return process to obtain segmented deviation data;

[0131] Calculate the initial ejection distance, the maximum ejection distance and the stable ejection position in the ejection process according to the segmented deviation data, to obtain the stroke characteristic data;

[0132] Calculate the initial angle, the maximum opening angle and the return termination angle in the opening process according to the segmented deviation data, to obtain the angle characteristic data;

[0133] Calculate the gap variation of the handle and the door in the ejection direction, the vertical direction and the horizontal direction according to the segmented deviation data, to obtain the gap characteristic data;

[0134] Perform feature correlation analysis using the stroke characteristic data, the angle characteristic data and the gap characteristic data to obtain the size characteristic data.

[0135] Specifically, when analyzing the size deviation distribution data, it is necessary to first segment according to the three action periods of the handle ejection process, the opening process and the return process to form segmented deviation data. In order to complete this operation, the size deviation distribution data can be matched with the motion trajectory of the handle or the motor driving signal in combination with the time sequence information collected in the dynamic measurement process. As long as the time point when the handle starts to eject, the time period when it opens to a specified angle, and the time interval when it gradually returns to completely close are marked in the collected measurement records, three subintervals can be divided on the size deviation distribution curve, thereby obtaining the deviation data sets of the ejection, opening and return stages. In this way, not only can the deformation amplitudes in different periods be accurately compared, but also the time dimension reference for subsequent extraction of stroke, angle and gap features can be provided.

[0136] On the basis of the deviation data of the three segments, attention can first be paid to the deviation information corresponding to the ejection process, and the initial ejection distance, the maximum ejection distance and the stable ejection position can be calculated therefrom. The specific method is to find the initial position where the handle moves from zero to separate from the door surface in the deviation curve of the ejection stage, record the distance difference between the coordinate at this time and the design reference as the initial ejection distance; when the handle continues to move outward, monitor the time when the relative distance to the door plane in the coordinate reaches the peak, and take the difference between this time and the reference value as the maximum ejection distance; if there is a short stable interval in continuous movement, the coordinate points in this interval can be statistically averaged to obtain the difference between the stable ejection position and the design nominal value. After integrating these results, the stroke characteristic data can be obtained.

[0137] Subsequently, the deviation information of the opening process can be used to calculate the starting angle, the maximum opening angle and the return termination angle. At this time, the angle deviation curve needs to be selected from the hinge area or the measured coordinates related to the connecting rod movement, the angle corresponding to the start of the opening operation is defined as the starting angle, the angle when the handle is fully opened or reaches the predetermined maximum opening is defined as the maximum opening angle, and the final angle at the end of the return is recorded and compared with the design reference to obtain the return termination angle. By analyzing the three groups of angle values, the movement amplitude of the handle in the opening stage and the possible deviation can be directly observed.

[0138] For the gap feature data, the distance change between the handle and the door is mainly calculated based on the segmented deviation data. The key points in the pop-out direction, the vertical direction and the horizontal direction can be selected in combination with the measured coordinates of the holding area and the door plate fitting area, the distance between the key points and the door plate or adjacent structure is continuously monitored, and the data is divided into three processes of pop-out, opening and return. For example, in the pop-out direction, the distance change between the handle tip and the door surface is denoted as Δd e ; in the vertical direction, the distance between the top of the handle and the upper and lower edges of the door plate is analyzed as Δd t ; in the horizontal direction, the relative gap between the left and right sides of the handle and the door plate area is concerned as Δd h . By extracting the three gap change amounts respectively, complete gap feature data can be formed.

[0139] Finally, by performing feature correlation analysis on the stroke feature data, the angle feature data and the gap feature data, the size feature data can be obtained. Correlation analysis can be realized in various ways, such as calculating the correlation coefficient between stroke and angle, or observing whether there is a synchronous increase and decrease relationship between the gap at different opening amplitudes, so as to judge whether the hidden door handle maintains a reasonable spatial distribution in actual use. If there is an abnormal coupling between the stroke distance and the gap change amount or the opening angle appears obvious lag, it means that the mechanism may produce additional deformation when bearing external force. Through such a method, not only the key size features in the whole action cycle of the handle can be obtained, but also the hidden door handle can be comprehensively evaluated on the multi-index interaction level.

[0140] Please continue to refer to Figure 1 , based on the size feature data, statistical analysis is performed to obtain the size stability evaluation result of the automobile hidden door handle.

[0141] In an embodiment of the present application, the statistical analysis based on the size feature data to obtain the size stability evaluation result of the automobile hidden door handle comprises:

[0142] The size characteristic data is grouped according to normal temperature operation, low speed operation, high speed operation and continuous operation to obtain grouped characteristic data;

[0143] Discrete coefficients of ejection position, opening angle and gap distribution are calculated according to the grouped characteristic data to obtain repeatability statistical data;

[0144] The repeatability statistical data is subjected to working condition cross analysis to calculate size change trend under each working condition to obtain trend characteristic data;

[0145] A corresponding relationship between operation times and size change amount is calculated according to the trend characteristic data to obtain cumulative effect data;

[0146] The cumulative effect data is compared with a standard tolerance range to obtain a size stability evaluation result of the automobile hidden door handle.

[0147] Specifically, after the size characteristic data is divided into four groups of normal temperature operation, low speed operation, high speed operation and continuous operation, the definition range of each working condition needs to be clarified. The speed range of low speed operation can be limited to 0.2 m / s to 0.4 m / s, and the speed range of high speed operation can be set to 0.8 m / s to 1.2 m / s. Continuous operation refers to the execution of opening and closing actions multiple times within a short time interval, for example, 30 times or more of reciprocating operation within 10 minutes, to ensure that the cumulative stress caused by high-frequency opening and closing is included in the analysis process. After such working condition division, the multiple measurement results of indexes such as ejection position, opening angle and gap distribution under the same working condition will be aggregated into the corresponding data group.

[0148] In the calculation of the discrete coefficient, the value of σ / μ needs to be calculated in each working condition of normal temperature, low speed, high speed and continuous. For ease of understanding, a discrete coefficient less than 0.05 can be regarded as a smaller deviation, and a discrete coefficient greater than 0.1 can be regarded as a larger fluctuation amplitude. If the discrete coefficient in a certain group of working conditions exceeds 0.1, it indicates that the working condition causes more obvious size fluctuation. To determine the "significant increase", the analysis can require that the discrete coefficient has a relative change amplitude of more than 20% between two working condition combinations. For example, if the discrete coefficient of an index is 0.04 under normal temperature operation and reaches 0.06 under high speed operation, it indicates that high speed operation causes a 50% relative increase in the index, which belongs to the category of significant change. If multiple combinations all show a continuously rising discrete coefficient, it indicates that the handle structure is more prone to additional deformation or fatigue accumulation under the corresponding working condition.

[0149] In the cumulative effect analysis, the operation times can be regarded as the independent variable and the size change amount as the dependent variable for the time series data of each working condition, and the linear equation y=mx+b or the quadratic polynomial equation y=ax2 +bx+c. If the slope m or the coefficient a shows a high value after fitting (for example, the growth rate reaches 0.02 mm / 100 times or more compared with the base case), it can be determined that the handle under this condition shows a rapid wear or plastic deformation trend. If the measured data is distributed below the fitting curve within the operation interval of 0 to 1000 times, it means that the handle size is still within a reasonable fluctuation range; if the predicted value of the fitting curve exceeds the standard tolerance range (for example, ±0.3 mm) at an earlier operation time, it means that the handle under this condition has a potential failure risk, and further strengthening of the structure design or material improvement is needed. Through such more detailed threshold definition and fitting method, the dispersion coefficient and cumulative effect data can provide more intuitive and quantifiable evaluation of the overall size stability of the hidden door handle under various environmental and load conditions, thereby bringing higher reliability to subsequent quality control and improved design.

[0150] In an embodiment of the present application, the repetitive statistical data is subjected to cross-condition analysis, the size change trend under each condition is calculated, and trend characteristic data is obtained, including:

[0151] The normal temperature operation data and the low speed operation data in the repetitive statistical data are paired, the influence coefficient of the ejection speed on the ejection position deviation, the opening angle deviation and the gap distribution deviation is calculated, and first condition combination data is obtained;

[0152] The normal temperature operation data and the high speed operation data in the repetitive statistical data are paired, the influence coefficient of the handle return speed on the closing trajectory deviation, the return angle deviation and the sealing gap deviation is calculated, and second condition combination data is obtained;

[0153] The normal temperature operation data and the continuous operation data in the repetitive statistical data are paired, the influence coefficient of the operation times on the hinged shaft center deviation, the transmission mechanism gap and the motor output deviation is calculated, and third condition combination data is obtained;

[0154] The first condition combination data, the second condition combination data and the third condition combination data are prioritized, the dominant influence factors of each operation condition are identified, and condition influence data is obtained;

[0155] According to the condition influence data, the attenuation relationship of the handle performance under each operation condition is established, and trend characteristic data is obtained.

[0156] It should be noted that when pairing normal temperature operation data and low speed operation data, the average value and standard deviation of the ejection position deviation, opening angle deviation and gap distribution deviation need to be calculated under two groups of working conditions respectively, and the baseline value and control value are established for each index. In order to quantify the influence of ejection speed on the above deviation indexes, an influence coefficient β can be defined, which is calculated as follows: β = (X r -X0) / X0. Wherein X0 represents the average deviation value under normal temperature operation, X r represents the average deviation value under low speed operation. If β is greater than a pre-set threshold (for example, 0.2), it means that under low speed working condition, compared with normal temperature operation, a more significant deviation increase is introduced, and finally the first working condition combination data is obtained. If the β of ejection position or opening angle is significantly improved, it means that the deformation of the mechanism or the matching precision of the ejection process is more obvious, and the gap distribution may also fluctuate with the increase of speed.

[0157] In the pairing analysis of normal temperature operation data and high speed operation data, it is necessary to compare whether the return speed causes greater disturbance to the closing trajectory deviation, return angle deviation and sealing gap deviation. Similarly, the deviation value measured under normal temperature operation can be taken as the baseline, and the corresponding index of high speed working condition can be taken as the control, and the influence coefficient is calculated to determine whether there is a significant deviation in the high speed return stage, and the second working condition combination data is obtained. If the deviation coefficient of closing trajectory or sealing gap is significantly increased in high speed operation, it indicates that the matching precision of the return process is decreased due to high speed, and targeted improvement needs to be made in control strategy or structure design.

[0158] In order to evaluate the cumulative effect of operation times on the hinge shaft center deviation, transmission mechanism gap and motor output deviation, the normal temperature operation data and continuous operation data can be paired to define the third working condition combination data. At this time, it is focused on comparing whether the deviation value under continuous operation presents rapid accumulation or curve acceleration with the operation times, and the influence coefficient is calculated in the same way. If the hinge shaft offset or transmission mechanism gap rapidly exceeds the set threshold in a short time, it means that the fatigue or wear caused by continuous operation is more obvious.

[0159] After obtaining the first, second and third working condition combination data, the priority can be sorted according to the size of the influence coefficient value, so as to identify the dominant factor in each operation condition that is most likely to cause structural failure or performance degradation. If the influence coefficient of the opening angle deviation is the highest in the low-speed ejection, it can be determined that the ejection speed has a significant impact on the angle accuracy; if the sealing gap deviation shows a rapid rise in high-speed return, it means that this risk is higher. Then, by combining the working condition influence data with factors such as operation time or frequency, the handle performance degradation relationship under different speeds or operation frequencies can be constructed, and by comparing the fitting coefficients or curve slopes of the degradation function, the trend characteristic data can be obtained. If the degradation rate is too fast, it means that the service life or stability under this working condition is insufficient, and strengthening measures need to be taken in the material or transmission design. Through such in-depth quantitative analysis, the comprehensive influence of multiple working conditions on the overall reliability of the hidden door handle can be more comprehensively judged, and the basis for subsequent design optimization can be provided.

[0160] The above only describes the preferred embodiments of the present application, and does not limit the patent scope of the present application. Any equivalent structural transformation, direct / indirect application in other related technical fields, or the like made by using the content of the present application specification and drawings within the inventive concept of the present application is included in the patent protection scope of the present application.

Claims

1. A detection method for a concealed door handle of a vehicle, characterized in that, The application relates to a method for evaluating the dimensional stability of a hidden automobile door handle. The preset grating reference points are arranged at multiple measuring positions on the surface of the automobile hidden door handle body; Two-wavelength optical interference measurement is performed on the grating reference points, and displacement change data of each measuring point is obtained by analyzing the phase difference change of interference fringes formed by two-wavelength lasers; Three-dimensional position coordinate data of each measuring point is obtained by performing calculation on the displacement change data by using a phase unwrapping algorithm; The deviation value between the actual size and the standard size is calculated according to the three-dimensional position coordinate data, and size deviation distribution data is generated; Multi-dimensional feature analysis is performed on the size deviation distribution data, and size feature data of the handle stroke distance, swing angle and gap value are extracted; specifically, the size deviation distribution data is time-sequentially segmented according to the handle ejection process, opening process and return process, and segmented deviation data is obtained; the initial ejection distance, maximum ejection distance and stable ejection position in the ejection process are calculated according to the segmented deviation data, and stroke feature data is obtained; the initial angle, maximum opening angle and return termination angle in the opening process are calculated according to the segmented deviation data, and angle feature data is obtained; the gap change amount of the handle and the door in the ejection direction, the vertical direction and the horizontal direction is calculated according to the segmented deviation data, and gap feature data is obtained; feature correlation analysis is performed on the stroke feature data, the angle feature data and the gap feature data, and size feature data is obtained; Statistical analysis is performed on the size feature data, and the dimensional stability evaluation result of the automobile hidden door handle is obtained; specifically, the size feature data is grouped according to normal temperature operation, low-speed operation, high-speed operation and continuous operation, and grouped feature data is obtained; the discrete coefficients of the ejection position, opening angle and gap distribution are calculated according to the grouped feature data, and repeatability statistical data is obtained; the repeatability statistical data is subjected to working condition cross analysis, the dimensional change trend under each working condition is calculated, and trend feature data is obtained; the corresponding relationship between the operation number and the dimensional change amount is calculated according to the trend feature data, and cumulative effect data is obtained; the cumulative effect data is compared with the standard tolerance range, and the dimensional stability evaluation result of the automobile hidden door handle is obtained.

2. The detection method for a hidden door handle of an automobile according to claim 1, characterized by, The preset grating reference points are arranged at multiple measuring positions on the surface of the automobile hidden door handle body; The automobile hidden door handle is divided into a handle holding area, a main hinge shaft area, a driving connecting rod area, an ejection mechanism area and a door plate bonding area; First-density cross grating points are arranged along the stress direction of the surface of the handle holding area, and second-density cross grating points are arranged along the edge of the door plate bonding area; First-group ring grating points are arranged at the shaft end of the main hinge shaft area, second-group ring grating points are arranged at the connection of the driving connecting rod area, and third-group ring grating points are arranged at the driving end of the ejection mechanism area.

3. The detection method for a hidden door handle of an automobile according to claim 2, characterized by, The first-group ring grating points are arranged at the shaft end of the main hinge shaft area, the second-group ring grating points are arranged at the connection of the driving connecting rod area, and the third-group ring grating points are arranged at the driving end of the ejection mechanism area. The coaxial inner ring grating and outer ring grating are arranged at the bearing seat positions of the two ends of the main hinge shaft area, and a first group of annular grating points is formed; The annular grating arrays arranged reversely are arranged at the upper end connecting point and the lower end connecting point of the driving connecting rod area, and a second group of annular grating points is formed; The radial grating and the circumferential grating arranged crossly are arranged at the motor output end and the transmission end of the pop-up mechanism area, and a third group of annular grating points is formed.

4. The detection method for a hidden door handle of an automobile according to claim 1, characterized by, The grating reference points are measured by double-wavelength optical interference, the phase difference changes of the interference fringes formed by two wavelengths of laser are analyzed, and the displacement change data of each measurement point is obtained, including: The cross grating points and the annular grating points are irradiated by double-wavelength laser, and first interference fringe patterns and second interference fringe patterns are obtained; During the handle pop-up movement, the dynamic change sequences of the first interference fringe patterns and the second interference fringe patterns are collected, and interference fringe change data is obtained; The phase change amount of the interference fringes is calculated according to the interference fringe change data, the phase change amount is converted into displacement amount, and initial displacement data is obtained; The initial displacement data is subjected to attitude compensation, and the measurement error caused by handle rotation is eliminated, and compensated displacement data is obtained; The compensated displacement data is classified according to the measurement area, and the displacement change data of each measurement point is obtained.

5. The detection method for a hidden door handle of an automobile according to claim 4, characterized by, The phase change amount of the interference fringes is calculated according to the interference fringe change data, the phase change amount is converted into displacement amount, and initial displacement data is obtained, including: The orthogonal direction fringe displacement of the interference fringe change data of the cross grating points is extracted, and plane displacement phase data is obtained; The radial and circumferential fringe displacement of the interference fringe change data of the annular grating points is extracted, and rotation displacement phase data is obtained; The double-wavelength beat frequency signal is calculated according to the plane displacement phase data and the rotation displacement phase data, and synthesis phase data is obtained; The phase unwrapping operation is performed according to the synthesis phase data, the phase value is restored to the actual displacement value, and the initial displacement data is obtained.

6. The detection method for a hidden door handle of an automobile according to claim 1, characterized by, The three-dimensional position coordinate data of each measurement point is obtained by using the phase unwrapping algorithm to operate the displacement change data, including: The displacement data of the plane motion area and the displacement data of the rotation motion area are separated by classifying the displacement change data according to the motion type of the handle, and classified displacement data is obtained; The two-dimensional phase unwrapping operation is performed on the plane motion area in the classified displacement data, the displacement of the cross grating points is converted into plane coordinate values, and plane position data is obtained; The polar coordinate phase unwrapping operation is performed on the rotation motion area in the classified displacement data, the displacement of the annular grating points is converted into spatial angle values, and angle position data is obtained; The relative spatial relationship between each measurement point is calculated according to the plane position data and the angle position data, and relative coordinate data is obtained; The coordinate system conversion is performed on the relative coordinate data, the positions of each measurement point are converted into a unified spatial coordinate system, and the three-dimensional position coordinate data of each measurement point is obtained.

7. The detection method for a hidden door handle of an automobile according to claim 1, characterized by, The method comprises the following steps: The three-dimensional position coordinate data is grouped according to the functional area of the handle, and the holding area data, the hinge area data, the transmission area data and the pop-up area data are separated to obtain partition position data; The surface profile deviation and the holding area cross-sectional size deviation of the holding area data are calculated to obtain first area deviation data; The rotation center offset and the rotation angle deviation of the hinge area data are calculated to obtain second area deviation data; The connection point gap value and the transmission axis deviation of the transmission area data are calculated to obtain third area deviation data; The stroke distance deviation and the motion trajectory deviation of the pop-up area data are calculated to obtain fourth area deviation data; The first area deviation data, the second area deviation data, the third area deviation data and the fourth area deviation data are integrated to obtain size deviation distribution data.

8. The detection method for a hidden door handle of an automobile according to claim 1, characterized by, The method comprises the following steps: The normal temperature operation data and the low speed operation data in the repeatability statistical data are paired to calculate the influence coefficient of the pop-up speed on the pop-up position deviation, the opening angle deviation and the gap distribution deviation, and first working condition combination data is obtained; The normal temperature operation data and the high speed operation data in the repeatability statistical data are paired to calculate the influence coefficient of the handle return speed on the closing trajectory deviation, the return angle deviation and the sealing gap deviation, and second working condition combination data is obtained; The normal temperature operation data and the continuous operation data in the repeatability statistical data are paired to calculate the influence coefficient of the operation number on the hinge shaft center offset, the transmission mechanism gap and the motor output deviation, and third working condition combination data is obtained; The first working condition combination data, the second working condition combination data and the third working condition combination data are prioritized to identify the dominant influence factors of each operation working condition, and working condition influence data is obtained; According to the working condition influence data, the attenuation relationship of the handle performance under each operation working condition is established, and trend characteristic data is obtained.

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