Detection method for hidden door handle of automobile

Abstract

The invention discloses a detection method for an automobile hidden door handle. The detection method comprises the following steps: arranging preset grating reference points at a plurality of measurement positions on the surface of an automobile hidden door handle body; carrying out dual-wavelength optical interference measurement on the grating reference point, and obtaining displacement change data of each measurement point by analyzing the phase difference change of interference fringes formed by laser with two wavelengths; according to the displacement change data, performing operation by using a phase unwrapping algorithm to obtain three-dimensional position coordinate data of each measurement point; calculating a 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 dimensional deviation distribution data, and extracting dimensional feature data of a handle stroke distance, a swing angle and a gap value; and performing statistical analysis based on the size characteristic data to obtain a size stability evaluation result of the handle mechanism. According to the technical scheme of the invention, high-precision measurement and evaluation of tiny deformation of the hidden door handle of the automobile under a dynamic working condition are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile parts detection, and in particular to a detection method for automobile hidden door handles. Background Art

[0002] As automotive design evolves towards higher aesthetics and aerodynamics, concealed door handles have become a key feature of high-end vehicles. These handles utilize a motor-driven design with a multi-link mechanism, utilizing a complex transmission structure to enable the handle to be deployed and retracted. When stationary, the handle is completely concealed within the door surface, preserving the streamlined exterior. When in use, the motor drives the transmission mechanism, causing the handle to pop out from the door surface to a pre-set position. Once the door is opened, the mechanism then drives the handle back into place, fully engaging the door surface.

[0003] The inspection of hidden door handles mainly focuses on their dimensional stability during actual use, including key parameters such as pop-up stroke distance, swing angle, and gap value. Existing inspection methods mainly use single-point displacement sensors or vision systems for measurement. This method can obtain basic dimensional data under ideal static conditions. However, in actual use, when the user applies force to the handle, the handle mechanism will produce tiny instantaneous deformation. Because traditional measurement methods use fixed measurement solutions and the setting of measurement points is limited, it is impossible to achieve high-precision measurement and evaluation of these tiny deformations under dynamic conditions, which directly affects the effectiveness of product quality control. Summary of the Invention

[0004] The main purpose of the present invention is to solve the technical problem that existing detection methods are unable to achieve high-precision measurement and evaluation of tiny deformations of hidden door handle mechanisms under dynamic conditions.

[0005] A first aspect of the present invention provides a method for detecting a hidden door handle of an automobile, the method comprising: Arrange preset grating reference points at multiple measurement positions on the surface of the hidden door handle of the car; Performing dual-wavelength optical interferometry on the grating reference point, and obtaining displacement change data of each measurement point by analyzing the phase difference change of interference fringes formed by the two wavelength lasers; According to the displacement change data, a phase unwrapping algorithm is used to perform calculations to obtain three-dimensional position coordinate data of each measurement point; Calculating the deviation between the actual size and the standard size based on the three-dimensional position coordinate data to generate size deviation distribution data; Performing multi-dimensional feature analysis on the dimensional deviation distribution data to extract dimensional feature data of handle travel distance, swing angle, and gap value; Statistical analysis is performed based on the dimensional characteristic data to obtain a dimensional stability evaluation result of the automobile hidden door handle.

[0006] Optionally, the step of arranging preset grating reference points at multiple measurement positions on the surface of the automobile hidden door handle body includes: The hidden door handle of the car is divided into the handle grip area, the main hinge axis area, the driving connecting rod area, the pop-up mechanism area and the door panel fitting area; A first density of cross-grating points is arranged along the force direction of the surface of the handle gripping area, and a second density of cross-grating points is arranged along the edge of the door panel laminating area; A first group of annular grating points is set at the shaft end of the main hinge shaft area, a second group of annular grating points is set at the connection of the driving link area, and a third group of annular grating points is set at the driving end of the pop-up mechanism area.

[0007] Optionally, the first group of annular grating points is provided at the shaft end of the main hinge shaft area, the second group of annular grating points is provided at the connection of the driving link area, and the third group of annular grating points is provided at the driving end of the pop-up mechanism area, including: Coaxial inner ring grating and outer ring grating are respectively arranged at the bearing seats at both ends of the main hinge axis area to form a first group of annular grating points; The upper and lower connection points of the driving link area are respectively provided with annular grating arrays arranged in reverse order to form a second group of annular grating points; Cross-arranged radial gratings and circumferential gratings are respectively provided on the motor output end and the transmission end of the ejection mechanism area to form a third group of annular grating points.

[0008] Optionally, performing dual-wavelength optical interferometry on the grating reference point and obtaining displacement change data of each measurement point by analyzing the phase difference change of interference fringes formed by two wavelength lasers may include: Irradiating the cross grating points and the ring grating points with dual-wavelength laser light respectively to obtain a first interference fringe pattern and a second interference fringe pattern; During the pop-up movement of the handle, respectively collecting dynamic change sequences of the first interference fringe pattern and the second interference fringe pattern to obtain interference fringe change data; Calculating the phase change of the interference fringes according to the interference fringes change data, and converting the phase change into a displacement to obtain initial displacement data; Performing posture compensation on the initial displacement data to eliminate measurement errors caused by handle rotation, thereby obtaining compensated displacement data; The compensated displacement data are classified according to the measurement area to obtain displacement change data of each measurement point.

[0009] Optionally, calculating the phase change of the interference fringes according to the interference fringe change data, converting the phase change into a displacement, and obtaining initial displacement data includes: Extract the fringe displacement in the orthogonal direction from the interference fringe change data of the cross grating points to obtain the plane displacement phase data; Extract radial and circumferential fringe displacements from the interference fringe variation data of the annular grating points to obtain rotational displacement phase data; Calculating a dual-wavelength beat signal based on the plane displacement phase data and the rotational displacement phase data to obtain synthetic phase data; A phase unwrapping operation is performed according to the synthesized phase data to restore the phase value to an actual displacement value to obtain initial displacement data.

[0010] Optionally, performing calculations using a phase unwrapping algorithm based on the displacement change data to obtain three-dimensional position coordinate data of each measurement point includes: Classifying the displacement change data according to the movement type of the handle, separating the displacement data of the planar movement area and the displacement data of the rotational movement area, and obtaining classified displacement data; Performing a two-dimensional phase unwrapping operation on the plane motion region in the classified displacement data, converting the displacement of the cross grating points into plane coordinate values ​​to obtain plane position data; performing a polar coordinate phase unwrapping operation on the rotational motion region in the classified displacement data, converting the displacement of the annular grating point into a spatial angle value to obtain angular position data; Calculating the relative spatial relationship between the measurement points based on the plane position data and the angular position data to obtain relative coordinate data; A coordinate system conversion is performed on the relative coordinate data to convert the position of each measuring point into a unified spatial coordinate system to obtain three-dimensional position coordinate data of each measuring point.

[0011] Optionally, calculating the deviation between the actual size and the standard size based on the three-dimensional position coordinate data to generate size deviation distribution data includes: The three-dimensional position coordinate data is grouped according to the functional areas of the handle, and the gripping area data, the hinge area data, the transmission area data, and the pop-up area data are separated to obtain zone position data; Calculating a surface profile deviation and a gripping area cross-sectional size deviation for the gripping area data to obtain first area deviation data; Calculating the rotation center offset and the rotation angle deviation for the articulation area data to obtain second area deviation data; Calculating the connection point gap value and the transmission axis deviation for the transmission area data to obtain third area deviation data; Calculating a travel distance deviation and a motion trajectory deviation for the pop-up area data 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.

[0012] Optionally, performing multi-dimensional feature analysis on the dimensional deviation distribution data to extract dimensional feature data of handle travel distance, swing angle, and gap value includes: The size deviation distribution data is segmented in time sequence according to the handle pop-up process, the opening process and the return process to obtain segmented deviation data; Calculating the initial ejection distance, maximum ejection distance, and stable ejection position during the ejection process according to the segmented deviation data to obtain stroke characteristic data; Calculate the starting angle, maximum opening angle and return end angle during the opening process according to the segmented deviation data to obtain angle characteristic data; Calculating the gap variation between the handle and the door in the pop-up direction, the vertical direction, and the horizontal direction based on the segmented deviation data to obtain gap characteristic data; The stroke characteristic data, the angle characteristic data and the gap characteristic data are used to perform characteristic correlation analysis to obtain dimension characteristic data.

[0013] Optionally, performing statistical analysis based on the dimensional feature data to obtain a dimensional stability evaluation result of the automobile hidden door handle includes: Grouping the size characteristic data according to normal temperature operation, low speed operation, high speed operation and continuous operation to obtain group characteristic data; Calculating the dispersion coefficients of the ejection position, the opening angle, and the gap distribution respectively according to the grouped characteristic data to obtain repeatability statistics; Performing a cross-operation analysis on the repetitive statistical data, calculating the dimensional change trend under each operating condition, and obtaining trend characteristic data; Calculate the corresponding relationship between the number of operations and the size change according to the trend characteristic data to obtain cumulative effect data; The cumulative effect data are compared with the standard tolerance range to obtain a dimensional stability evaluation result of the automobile hidden door handle.

[0014] Optionally, performing a cross-operation analysis on the repetitive statistical data, calculating the dimensional change trend under each operating condition, and obtaining trend characteristic data, includes: Pairing the normal temperature operation data with the low speed operation data in the repeatability statistical data, calculating the influence coefficient of the ejection speed on the ejection position deviation, the opening angle deviation, and the gap distribution deviation, and obtaining the first operating condition combination data; Pairing the normal temperature operation data with the high-speed operation data in the repeatability statistical data, calculating the influence coefficient of the handle return speed on the closing trajectory deviation, the return angle deviation, and the sealing gap deviation, and obtaining the second working condition combination data; Pairing the normal temperature operation data with the continuous operation data in the repeatability statistical data, calculating the influence coefficient of the number of operations on the articulated axis offset, the transmission mechanism clearance, and the motor output deviation, and obtaining the third working condition combination data; Prioritizing the first operating condition combination data, the second operating condition combination data, and the third operating condition combination data, identifying dominant influencing factors of each operating condition, and obtaining operating condition influencing data; Based on the working condition impact data, an attenuation relationship of the handle performance under various operating conditions is established to obtain trend characteristic data.

[0015] This detection method employs dual-wavelength optical interferometry, employing multiple sets of grating reference points on the surface of a concealed door handle. The method captures the dynamic phase shift of interference fringes throughout the handle's motion, thereby obtaining displacement data for each region. The dual-wavelength interferometry method effectively improves the resolution of minute displacements. When two laser beams of different wavelengths are superimposed to form a beat signal, the phase shift of the fringes shifts slightly with the handle's structural deformation. Decoding this shift not only restores the displacement values ​​of each measured point, but also allows the subsequent conversion of these planar and rotational motion data into three-dimensional position coordinates using a phase unwrapping algorithm. This measurement process is performed continuously during the instantaneous release and return of the handle. By acquiring a large amount of real-time interference fringe data, the method accurately captures the instantaneous deformation of the handle surface and key transmission areas. The resulting three-dimensional coordinates are then compared with pre-set reference dimensions to determine the dimensional deviation distribution of the handle's different functional regions. Multidimensional feature analysis based on this information allows for comprehensive quantification of key indicators such as travel distance, swing angle, and gap variation. Unlike previous fixed or single-point measurement methods that can only obtain limited displacement data under nearly static conditions, this method can obtain dynamic deformation distribution at multiple measuring points under actual force conditions. By simultaneously measuring and analyzing the differences of key components, it solves the problem of being unable to accurately capture instantaneous deformation and fully reflect the true working status of the mechanism. This achieves high-precision measurement and comprehensive evaluation of the tiny deformation of the hidden door handle mechanism under actual usage conditions, greatly improving the reliability and completeness of the detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0017] Figure 1 The figure is a schematic diagram of an embodiment of a method for detecting hidden door handles of a car according to an embodiment of the present invention.

[0018] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0020] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), such directional indications are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0021] In addition, the descriptions of "first", "second", etc. in the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, "and / or" in the full text includes three solutions. Taking A and / or B as an example, it includes technical solution A, technical solution B, and technical solution that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, and must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0022] An embodiment of the present application provides a method for detecting hidden door handles of an automobile. Figure 1 A flowchart of a method for detecting hidden door handles on a car is provided in accordance with one embodiment of the present application. In this embodiment, the method includes: See also Figure 1, placing preset grating reference points at multiple measurement positions on the surface of the car's hidden door handle body; In one embodiment of the present invention, the step of arranging preset grating reference points at multiple measurement positions on the surface of the automobile hidden door handle body includes: The hidden door handle of the car is divided into the handle grip area, the main hinge axis area, the driving connecting rod area, the pop-up mechanism area and the door panel fitting area; A first density of cross-grating points is arranged along the force direction of the surface of the handle gripping area, and a second density of cross-grating points is arranged along the edge of the door panel laminating area; A first group of annular grating points is set at the shaft end of the main hinge shaft area, a second group of annular grating points is set at the connection of the driving link area, and a third group of annular grating points is set at the driving end of the pop-up mechanism area.

[0023] Specifically, the division of the area of ​​the hidden door handle of the car is based on the positioning of precise structural features. The handle grip area starts from the starting point of 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 area is arc-shaped and concave, which is convenient for finger grip. The main hinge axis area is located at the rotation fulcrum of the rear end of the handle and includes a cylindrical shaft section between two bearing seats. The drive connecting rod area includes an active connecting rod extending from the motor output shaft and a driven connecting rod connected to the active connecting rod. The pop-up mechanism area is composed of the motor fixing base and the motor output shaft. The door panel fitting area is an annular area extending inward from the edge of the handle. This area is completely fitted with the outer panel of the door when the handle is retracted.

[0024] The handle grip area is arranged with a cross-shaped raster pattern at a density of 16 points per square centimeter. The two intersecting raster lines run one parallel to the handle's length and the other perpendicular to the door surface. This arrangement allows the parallel raster lines to capture bending deformation when the user pulls the handle, while the perpendicular raster lines monitor tensile deformation. The door panel fitting area is arranged with a cross-shaped raster pattern at a density of 25 points per square centimeter. The raster lines align parallel and perpendicular to the handle's edge contour, accurately monitoring changes in the gap between the handle and the door during retraction.

[0025] The grating layout for the moving parts adopts a concentric ring design. A group of annular grating points with a diameter of 10mm is arranged at the bearing seats at both ends of the main hinge shaft area. The annular grating is set with 5 concentric circles from the inner ring to the outer ring, and the ring spacing is 0.5mm. This design ensures that when the handle is rotated, the moiré fringes generated by the annular grating can directly reflect the rotation angle. At the two hinge points in the drive connecting rod area, the second group of annular grating points adopts an 8mm diameter design, and 5 concentric circles are also set to monitor the pivoting movement of the connecting rod. A third group of annular grating points with a diameter of 12mm is set at the end of the motor output shaft in the pop-up mechanism area. The number of concentric circles of the annular grating is increased to 8 to improve the measurement accuracy of the rotation angle of the motor drive end.

[0026] When the dual-wavelength laser is incident on the grating surface at an angle of 45 degrees, the reflected light interferes with the reference light to form characteristic fringes. For the cross-grating points, the direction and magnitude of the surface deformation can be obtained by analyzing the displacement of the interference fringes. When the handle surface is deformed, the phase of the interference fringes changes, and there is a definite correspondence between the phase change and the actual displacement. For the annular grating points, the laser beam is incident along the axial direction. When rotation occurs, the deformation of the annular grating will cause radial distortion of the interference pattern. By analyzing this distortion, the rotation angle can be accurately calculated. This differentiated grating layout scheme realizes all-round deformation monitoring of the handle, which can not only obtain tiny deformations of the surface, but also accurately measure the angular displacement of each rotating part.

[0027] In one embodiment of the present invention, a first group of annular grating points is provided at the shaft end of the main hinge shaft area, a second group of annular grating points is provided at the connection of the driving link area, and a third group of annular grating points is provided at the driving end of the pop-up mechanism area, including: Coaxial inner ring grating and outer ring grating are respectively arranged at the bearing seats at both ends of the main hinge axis area to form a first group of annular grating points; The upper and lower connection points of the driving link area are respectively provided with annular grating arrays arranged in reverse order to form a second group of annular grating points; Cross-arranged radial gratings and circumferential gratings are respectively provided on the motor output end and the transmission end of the ejection mechanism area to form a third group of annular grating points.

[0028] Specifically, coaxial inner and outer gratings are placed at the bearing seats at either end of the main articulated shaft. These two concentric circular arrays allow for simultaneous observation of the main articulated shaft's rotation and tilt under different motion conditions. The inner and outer gratings have a certain radius difference. When a dual-wavelength laser is irradiated onto the surfaces of these two ring gratings, interference fringe signals corresponding to the axis's center and outer edge are obtained, respectively. If the main articulated shaft experiences angular displacement or localized deformation during ejection or retraction, the fringes produced by the inner and outer gratings will shift relative to each other, and this shift accumulates with increasing rotation angle. Combining these two interference signals allows for more accurate determination of the main articulated shaft's tilt and torsion, and for determining whether the bearing seats exhibit any play when loaded. For example, when an external force is applied to the shaft end in a direction other than the normal handle pull, the difference in interference fringes between the inner and outer gratings can indicate whether the bearing seats are subject to additional unbalanced loads.

[0029] When reversely arranged annular grating arrays are respectively set at the upper and lower connection points of the driving connecting rod area, the reverse arrangement refers to the arrangement of the annular gratings at both ends in a manner opposite to the reference coordinate system. For example, in the upper connection point, the concentric circle arrangement direction of the annular grating is calibrated clockwise with the central axis of the connecting rod, while in the lower connection point, the same number and spacing of concentric circles are calibrated counterclockwise. This makes it possible to simultaneously observe the pivoting or bending process from two end points on the same connecting rod. Once the connecting rod is twisted or bent due to uneven force, the annular grating stripes at the upper and lower ends will be offset in opposite directions. The comparison and superposition of the data at both ends can enable the detection system to more accurately extract the torsion angle or local bending amount, and help determine the overall stress distribution of the connecting rod.

[0030] Cross-arranged radial and circumferential gratings are placed at the motor output and transmission ends of the ejection mechanism, respectively. This arrangement involves placing the two gratings perpendicular to each other on the same circular surface. For example, several radial gratings radiate outward along the radius of the motor output shaft, while the circumferential gratings are arranged at equal intervals in a circular direction perpendicular to the radial gratings. This allows the same grating plane to capture both radial deformation at the output or transmission end and fringe distortion caused by circumferential rotation. If the motor experiences significant axial stretching or bending during startup, the radial grating will appear as shifted radial fringes in the interference pattern, while the circumferential grating can monitor rotational runout and provide timely information on the rotational accuracy of the motor shaft and transmission. This cross-arrangement allows the measurement system to simultaneously analyze both axial and circumferential deformations, facilitating further analysis using algorithms to identify the specific cause of the abnormal ejection motion.

[0031] Please continue reading Figure 1, performing dual-wavelength optical interferometry measurement on the grating reference point, and obtaining displacement change data of each measurement point by analyzing the phase difference change of the interference fringes formed by the two wavelength lasers; In one embodiment of the present invention, performing dual-wavelength optical interferometry on the grating reference point and obtaining displacement change data of each measurement point by analyzing the phase difference change of interference fringes formed by two wavelength lasers includes: Irradiating the cross grating points and the ring grating points with dual-wavelength laser light respectively to obtain a first interference fringe pattern and a second interference fringe pattern; During the pop-up movement of the handle, respectively collecting dynamic change sequences of the first interference fringe pattern and the second interference fringe pattern to obtain interference fringe change data; Calculating the phase change of the interference fringes according to the interference fringes change data, and converting the phase change into a displacement to obtain initial displacement data; Performing posture compensation on the initial displacement data to eliminate measurement errors caused by handle rotation, thereby obtaining compensated displacement data; The compensated displacement data are classified according to the measurement area to obtain displacement change data of each measurement point.

[0032] Specifically, in this embodiment, dual-wavelength laser illumination is first applied to both the cross-shaped and annular grating points, forming an interference pattern resulting from the superposition of the two wavelengths. To achieve this, a dual-wavelength light source is deployed in each grating region, and two laser beams of different wavelengths are projected onto the corresponding grating surface using an optical beam splitter and collimator. When the cross-shaped grating is illuminated at oblique incidence, an interference pattern formed by interlaced planar lines appears in the detector's imaging area, known as the first interference fringe pattern. The annular grating, however, exhibits a different fringe pattern at the imaging end due to its concentric distribution when exposed to the same dual-wavelength illumination, known as the second interference fringe pattern. These two patterns dynamically change during the movement of the handle. With each moment the handle slowly emerges from its hidden position or returns to its original position, the phase of the fringe shifts with slight deformation. Real-time acquisition using a high-speed camera or photoelectric sensor assembly captures the changing sequence of the two interference patterns, which is then recorded as interference fringe variation data.

[0033] After completing the acquisition of the interference fringe change data, it is necessary to apply the phase resolution method of interferometry to calculate the phase change of the fringes. The advantage of dual-wavelength interference is that it can improve accuracy through the beat frequency effect. When two laser beams produce superimposed interference on the grating surface, there is a clear corresponding function between the movement of the fringes and the spatial displacement. After converting the fringe movement into a phase change, the displacement data of each grating point can be obtained with the help of the calibrated grating period constant and optical path parameters, which is referred to as the initial displacement data. Since the pop-up action of the handle is often not just a translation, but also a certain angle of tilt or rotation, the initial displacement data needs to be compensated at this stage to eliminate the error caused by the overall rotation. The posture compensation can be combined with the angle information collected in the articulated shaft area or the drive link area. By establishing a coordinate transformation matrix, the false displacement caused by the overall rotation is corrected, thereby obtaining more accurate compensated displacement data.

[0034] After obtaining the compensated displacement data, the data can be categorized according to pre-defined areas. Based on different functional areas such as the handle grip area, main hinge axis area, drive link area, pop-up mechanism area, and door panel fitting area, the data of the corresponding grating points can be grouped accordingly. This allows the actual deformation of each area during the entire handle movement to be understood. For example, cross-grating points are typically located on surfaces that are prone to bending or tension. After phase analysis and posture compensation, the micron-level deformation value of the grip surface can be immediately obtained. Ring-shaped grating points are mostly located on rotating or pivoting components. 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 areas with the previous baseline dimensions, it is possible to quickly determine whether there is any deformation beyond expectations, and thus determine the reliability and stability of the handle when it is ejected or returned. Through this systematic dual-wavelength interference analysis and posture compensation correction, not only can step-by-step measurement and data solution be performed for the cross grating and annular grating, but also high-precision deformation results can be obtained under the actual working conditions of the handle movement, providing more sufficient data support for subsequent comprehensive evaluation and improved design.

[0035] In one embodiment of the present invention, calculating the phase change of the interference fringes based on the interference fringe change data, converting the phase change into a displacement, and obtaining the initial displacement data includes: Extract the fringe displacement in the orthogonal direction from the interference fringe change data of the cross grating points to obtain the plane displacement phase data; Extract radial and circumferential fringe displacements from the interference fringe variation data of the annular grating points to obtain rotational displacement phase data; Calculating a dual-wavelength beat signal based on the plane displacement phase data and the rotational displacement phase data to obtain synthetic phase data; A phase unwrapping operation is performed according to the synthesized phase data to restore the phase value to an actual displacement value to obtain initial displacement data.

[0036] Specifically, when the dual-wavelength laser is irradiated onto the cross grating points, two groups of interference fringes arranged in orthogonal directions will appear on the grating surface, one group is parallel to the length direction of the handle surface, and the other group is perpendicular to the outer wall of the door. By separating the phase changes of these two groups of fringes, it is possible to capture the tiny displacements of planar motions such as pulling and bending, and then merge the two groups of fringes displacements through data processing algorithms to obtain the planar displacement phase data. In order to more clearly illustrate this separation and merging process, a phase analysis method based on Fourier transform can be used after image acquisition: first perform a two-dimensional Fourier transform on the grayscale distribution of the orthogonal fringes, identify the main frequency component of each group of fringes in the frequency domain and its phase center position, and then record the extracted phase distribution as φ h (x,y) (corresponding to the parallel direction) and φ v (x,y) (corresponding to the vertical direction) When the grip area is pulled by external force, the horizontal stripes tend to show stretching or compression, and the vertical stripes may show varying degrees of bending. By comparing the phase difference between the original image and the deformed image, the incremental phase value in each direction can be obtained. When these two sets of phase values ​​are combined, φ can be converted to h With φ v Projected onto the same plane, plane displacement phase data is formed to quantitatively describe the overall deformation of the area.

[0037] The annular grating points are mainly arranged at the rotating or pivoting parts. When the incident laser hits the concentric circle structure, two fringe patterns are formed: radial and circumferential. The change of radial fringe corresponds to the slight displacement in the axial direction, and the distortion of circumferential fringe can reflect the rotation angle or torque distribution. In order to separate these two parts of fringe and obtain the corresponding phase value, the annular grating image can be converted to the polar coordinate system, and the phase of the grayscale distribution in the radial direction and the grayscale distribution in the circumferential direction can be extracted respectively, and they are recorded as φ respectively. r (r,θ) and φ a (r,θ). In the main articulated shaft area or the driving link area, if eccentricity or torsion occurs, the radial and circumferential phases will produce their own dynamic changes. Subsequently, the plane displacement phase data and the rotational displacement phase data are fused into synthetic phase data through the beat frequency effect. The beat frequency effect is achieved by using two laser beams of different wavelengths (such as λ1 and λ2) to illuminate the same grating, constructing a synthetic wavelength λ in the interference. s =(λ1×λ2) / |λ1-λ2|. After the phases φ1 and φ2 at two wavelengths are measured respectively, the synthetic phase φ can be formed by subtraction or correlation calculation. s, thus eliminating the 2π ambiguity in the case of a single wavelength. If the synthetic phase needs to be converted into an actual displacement Δd, the following can be applied: Δd=(λ s / 2π)×Δφ s , where Δφ s is the phase difference of the beat signal.

[0038] Finally, when performing a phase unwrapping operation on the synthetic phase data, the phase jumps are expanded into a continuous distribution and mapped to the actual displacement based on the known optical path, grating period constant, and measurement reference distance. Phase unwrapping can usually use image processing algorithms to correct the mutation position exceeding ±π, ensuring that the final output phase remains consistent in the global coordinate. For example, in the rotation detection of the driving link area, if the circumferential fringes are significantly offset by the external force, the phase peak in the beat frequency signal will change significantly. Unwrapping can accurately calculate the actual rotation angle and bending amount of the link. In this way, the multidimensional deformation information of each area can be converted into quantifiable initial displacement data, which can be used in subsequent posture compensation and area classification to further evaluate the small deformation of the handle under various loads and dynamic conditions.

[0039] Please continue reading Figure 1 , according to the displacement change data, a phase unwrapping algorithm is used to perform calculations to obtain the three-dimensional position coordinate data of each measurement point; In one embodiment of the present invention, performing calculations based on the displacement change data using a phase unwrapping algorithm to obtain three-dimensional position coordinate data of each measurement point includes: Classifying the displacement change data according to the movement type of the handle, separating the displacement data of the planar movement area and the displacement data of the rotational movement area, and obtaining classified displacement data; Performing a two-dimensional phase unwrapping operation on the plane motion region in the classified displacement data, converting the displacement of the cross grating points into plane coordinate values ​​to obtain plane position data; performing a polar coordinate phase unwrapping operation on the rotational motion region in the classified displacement data, converting the displacement of the annular grating point into a spatial angle value to obtain angular position data; Calculating the relative spatial relationship between the measurement points based on the plane position data and the angular position data to obtain relative coordinate data; A coordinate system conversion is performed on the relative coordinate data to convert the position of each measuring point into a unified spatial coordinate system to obtain three-dimensional position coordinate data of each measuring point.

[0040] Specifically, when compiling displacement change data, the data is first categorized based on the type of handle motion exhibited at different stages, separating planar motion regions characterized primarily by translation or bending from rotational motion regions characterized primarily by rotation or pivoting. Using the initial displacement data acquired in the previous step, the grating placement can be used to determine which measurement points exhibit lateral or longitudinal displacement (i.e., planar motion) and which exhibit angular rotation or circumferential deformation (i.e., rotational motion). Once the kinematic attribution of each measurement point is confirmed, the corresponding data can be assigned to either a planar motion dataset or a rotational motion dataset for subsequent differentiated processing. For example, if cross-shaped grating points are located in the handle grip area or the door panel fitting area, and their interference fringes reflect planar displacement caused by stretching or compression, the associated phase values ​​will be classified as planar motion data. However, if annular grating points located at the end of a hinged shaft or a connecting rod pivot exhibit angular displacement or circumferential runout, they will be classified as rotational motion data.

[0041] For planar motion data, a two-dimensional phase unwrapping operation is required to convert the displacement information of the cross grating into intuitive plane coordinate values. The specific approach is to resolve the phase components of the orthogonal stripes into displacements in the x-direction and y-direction respectively, and then correct the jump areas exceeding ±π in the phase unwrapping algorithm. The common implementation form of the two-dimensional unwrapping algorithm is based on the idea of ​​quality guidance or path tracking, assigning a phase quality index to each image pixel (or grating sampling point), and giving priority to phase unwrapping in high-quality areas to avoid errors caused by noise or local interference. After unwrapping is completed, the plane coordinates can be obtained by Δx=(λ s / 2π)×Δφ h and Δy=(λ s / 2π)×Δφ v Calculate with similar formula, where λ s is the synthetic wavelength formed by the beat frequency, Δφ h and Δφ v These correspond to the phase differences in the horizontal and vertical directions, respectively. This allows us to obtain the coordinates of each measurement point in the handle's planar motion area, enabling accurate quantification of local bending or deformation under tension.

[0042] In the processing stage of rotational motion data, polar coordinate phase unwrapping operation is required 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 is converted to the polar coordinate domain. a (r,θ) and radial phase φ r(r,θ) are unwrapped separately. If rotation around the hinge axis is detected, the circumferential fringes will produce a corresponding phase offset, and the specific rotation angle can be calculated through unwrapping. If the radial component in the connecting rod region changes significantly, it indicates local bending or torsion. By sequentially unwrapping the radial and angular directions in the polar coordinate domain, a continuous phase distribution of the concentric circle array can be obtained, which can be further mapped into spatial angle values ​​or local arc length differences. After unwrapping the planar and rotational motion data, the relative position of each measurement point in its local coordinate system can be calculated to obtain relative coordinate data. To ensure that all measurement points share a common reference, a coordinate system transformation step is required to map both planar and angular coordinates to the global 3D coordinate system of the handle. This can be achieved by spatially aligning the known hinge reference points, connecting rod pivot reference points, and handle surface reference points to establish a unified 3D coordinate system. The offset or rotation angle of each measurement point can then be accurately projected into xyz coordinates, ultimately obtaining complete 3D position coordinate data. Through this series of steps, the information of planar motion and rotational motion is fully integrated, so that the deformation of each functional area can be visualized and quantified in three-dimensional space.

[0043] Please continue reading Figure 1 , calculating the deviation between the actual size and the standard size based on the three-dimensional position coordinate data, and generating size deviation distribution data; In one embodiment of the present invention, calculating the deviation between the actual size and the standard size based on the three-dimensional position coordinate data to generate size deviation distribution data includes: The three-dimensional position coordinate data is grouped according to the functional areas of the handle, and the gripping area data, the hinge area data, the transmission area data, and the pop-up area data are separated to obtain zone position data; Calculating a surface profile deviation and a gripping area cross-sectional size deviation for the gripping area data to obtain first area deviation data; Calculating the rotation center offset and the rotation angle deviation for the articulation area data to obtain second area deviation data; Calculating the connection point gap value and the transmission axis deviation for the transmission area data to obtain third area deviation data; Calculating a travel distance deviation and a motion trajectory deviation for the pop-up area data 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.

[0044] It should be noted that before conducting an in-depth analysis of the three-dimensional position coordinate data, the obtained coordinate information needs to be divided according to different functional areas in order to more effectively calculate the specific deviations of each area. First, based on the pre-established functional area range of the handle, all measurement points corresponding to the grip area are grouped into one group, and all measurement points corresponding to the hinge area are grouped into another group. Similarly, the measurement points matching the transmission area and the pop-up area are organized into their own data sets. After completing this operation, the grip area will contain the three-dimensional coordinate information of the exposed part of the handle surface, the hinge area will focus on reflecting the position information near the main hinge shaft and the bearing seat, the transmission area will mainly collect the coordinate data of the connecting rod and drive components, and the pop-up area will contain the coordinate results of the motor output end and the transmission end. Through this grouping, the characteristics of each area can be specifically processed when calculating the deviation later.

[0045] The gripping area data is usually related to the surface profile and cross-sectional dimensions. Therefore, 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 discreteness or deviation value of the surface profile. Assuming that one or more reference curves are specified in the area, the curve fitting error can be calculated after projecting the three-dimensional coordinates to the direction of the curve, and this can be used to represent 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 measured coordinates with the corresponding cross-sections of the design model, and obtaining the numerical difference in cross-sectional height or width. By integrating these error data, the first area deviation data can be formed.

[0046] The data of the articulated area is closely related to the accuracy of the position of the center of rotation and the angle of rotation. Therefore, the offset of the center of rotation can be obtained by calculating the center line of the left and right end points of the bearing seat in the three-dimensional coordinate system and then comparing it with the ideal design position. If there is a slight distortion or assembly error in the articulated shaft itself, the three-dimensional coordinate data will show that there is a distance difference between the bearing seat and the theoretical position. This distance difference can be regarded as the offset value of the center of rotation. In addition, the extraction of the rotation angle deviation can be combined with the previous annular 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 in this area cannot maintain the original design angle after loading, the angle deviation will appear in the measured coordinates. All these data together constitute the second area deviation data.

[0047] The transmission area data usually focuses on the gap status of the connection and the correctness of the transmission axis. In order to quantify the connection point gap value, the distance can be calculated between the coordinates of the upper and lower connection points of the connecting rod, and compared with the preset ideal value to obtain the result of whether there is excessive looseness or excessive pre-tightening. The transmission axis deviation is mainly measured by comparing the center line of the connecting rod with the axis defined during design. If the measured coordinates of the connecting rod center point deviate from the ideal axis by a certain value in three-dimensional space, it can be regarded as the deviation. If the transmission component fatigues or bends after high-speed or multiple cycles, this deviation will be further increased, which is reflected in the measurement data as the center line gradually shifting in a certain direction. All this information can be combined to form the third area deviation data.

[0048] The data for the ejection zone focuses on travel distance and motion trajectory. Travel distance deviation can be determined by comparing the coordinate change from the initial position of the motor drive end to the final position of full ejection, and comparing it with the design parameters to determine whether the expected ejection stroke is met. Motion trajectory deviation may be presented as a three-dimensional path. By comparing a series of displacement coordinates at the motor output or drive end with the theoretical trajectory, the spatial fit or deviation value of the trajectory can be obtained. If significant bending or winding occurs, it indicates abnormal deformation due to certain external forces or assembly factors. These results are summarized to generate the fourth zone deviation data.

[0049] After completing the aforementioned zone deviation calculations, the deviation data from the four zones can be further integrated and compared to form dimensional deviation distribution data. This integration process maps the positional information of the grip, hinge, transmission, and pop-up zones onto a single visualization platform. This allows for visualization of the deviation magnitude of each zone through color or contour maps, as well as quantitative comparisons of each element through numerical tables. This provides a more comprehensive basis for subsequent design improvements or operational evaluations, ensuring that deviations generated in different zones can be cross-referenced, ultimately helping to determine the dimensional stability and functional reliability of the concealed door handle under dynamic conditions.

[0050] Please continue reading Figure 1 , performing multi-dimensional feature analysis on the dimensional deviation distribution data to extract dimensional feature data of handle travel distance, swing angle and gap value; In one embodiment of the present invention, performing multi-dimensional feature analysis on the dimensional deviation distribution data to extract dimensional feature data of handle travel distance, swing angle, and gap value includes: The size deviation distribution data is segmented in time sequence according to the handle pop-up process, the opening process and the return process to obtain segmented deviation data; Calculating the initial ejection distance, maximum ejection distance, and stable ejection position during the ejection process according to the segmented deviation data to obtain stroke characteristic data; Calculate the starting angle, maximum opening angle and return end angle during the opening process according to the segmented deviation data to obtain angle characteristic data; Calculating the gap variation between the handle and the door in the pop-up direction, the vertical direction, and the horizontal direction based on the segmented deviation data to obtain gap characteristic data; The stroke characteristic data, the angle characteristic data and the gap characteristic data are used to perform characteristic correlation analysis to obtain dimension characteristic data.

[0051] Specifically, when analyzing the dimensional deviation distribution data, it is necessary to first divide it into three action periods: the handle pop-up process, the opening process, and the return process, to form segmented deviation data. In order to complete this operation, the dimensional deviation distribution data can be matched with the motion trajectory of the handle or the motor drive signal in combination with the time series information previously collected during the dynamic measurement process. As long as the time point when the handle starts to pop out, the time period when it opens to the specified angle, and the time interval when the handle gradually returns until it is completely closed are marked in the collected measurement records, the dimensional deviation distribution curve can be divided into three sub-intervals, thereby obtaining the deviation data sets for the three stages of pop-up, opening, and return. In this way, not only can the deformation amplitude in different time periods be accurately compared, but also a reference in the time dimension can be provided for the subsequent extraction of stroke, angle, and gap features.

[0052] Based on the deviation data obtained after these three partitions, we can first focus on the deviation information corresponding to the ejection process, and use this to infer the initial ejection distance, maximum ejection distance, and stable ejection position. The specific method is to find the initial position where the handle moves from the zero position to the separation from the door surface in the deviation curve of the ejection phase, and record the distance difference between the coordinates at this time and the design benchmark as the initial ejection distance; when the handle continues to move outward, monitor the moment when the relative distance from the door plane in the coordinate reaches the peak, and the difference between this moment and the benchmark value is regarded as the maximum ejection distance; if a short stable interval occurs during continuous movement, the coordinate points within 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 travel characteristic data can be obtained.

[0053] The deviation information during the opening process can then be used to calculate the starting angle, maximum opening angle, and return end angle. This requires selecting an angle deviation curve from the articulated area or the measured coordinates associated with the connecting rod movement. The angle corresponding to the start of the opening action is defined as the starting angle, and the angle when the handle is fully opened or reaches the predetermined maximum opening is defined as the maximum opening angle. At the end of the return, the final angle is recorded and compared with the design benchmark to obtain the return end angle. By analyzing these three sets of angle values, the handle's movement amplitude and possible deviations during the opening phase can be intuitively seen.

[0054] The gap feature data is calculated based on the distance change between the handle and the door in the segmented deviation data. The measured coordinates of the grip area and the door panel fitting area can be combined to select key points in the pop-up direction, vertical direction, and horizontal direction, and continuously monitor the change in the distance between the door panel or adjacent structure over time. The data can then be split into three processes: pop-up, opening, and return. For example, in the pop-up direction, the change in the distance between the handle tip and the door surface can be recorded as Δd e In the vertical direction, the distance Δd from the top of the handle to the upper and lower edges of the door panel can be analyzed. t ; In the horizontal direction, pay attention to the relative gap Δd between the left and right sides of the handle and the door panel area h By extracting these three gap changes separately, complete gap feature data can be formed.

[0055] Finally, by performing feature correlation analysis on the stroke feature data, angle feature data, and gap feature data, the dimensional feature data can be obtained. Correlation analysis can be implemented using a variety of methods, such as calculating the correlation coefficient between stroke and angle, or observing whether there is a synchronous increase or decrease in the gap under different opening amplitudes, so as to determine whether the hidden door handle maintains a reasonable spatial distribution in actual use. If there is abnormal coupling between the stroke distance and the gap change or there is a significant lag in the opening angle, it means that the mechanism may have undergone additional deformation when subjected to external force. Through this method, not only can the key dimensional characteristics of the handle throughout its entire motion cycle be obtained, but also a comprehensive evaluation of the hidden door handle can be performed at the level of multi-indicator interaction.

[0056] Please continue reading Figure 1 , based on the dimensional characteristic data, a statistical analysis is performed to obtain a dimensional stability evaluation result of the automobile hidden door handle.

[0057] In one embodiment of the present invention, the statistical analysis based on the dimensional feature data to obtain the dimensional stability evaluation result of the automobile hidden door handle includes: Grouping the size characteristic data according to normal temperature operation, low speed operation, high speed operation and continuous operation to obtain group characteristic data; Calculating the dispersion coefficients of the ejection position, the opening angle, and the gap distribution respectively according to the grouped characteristic data to obtain repeatability statistics; Performing a cross-operation analysis on the repetitive statistical data, calculating the dimensional change trend under each operating condition, and obtaining trend characteristic data; Calculate the corresponding relationship between the number of operations and the size change according to the trend characteristic data to obtain cumulative effect data; The cumulative effect data are compared with the standard tolerance range to obtain a dimensional stability evaluation result of the automobile hidden door handle.

[0058] Specifically, after dividing the dimensional characteristic data into four groups: 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 between 0.2m / s and 0.4m / s, and the speed range of high-speed operation can be set between 0.8m / s and 1.2m / s. Continuous operation refers to multiple opening and closing actions within a short time interval, such as 30 or more reciprocating operations within 10 minutes, to ensure that the accumulated stress caused by high-frequency opening and closing is included in the analysis process. After completing such a division of working conditions, multiple measurement results of indicators such as pop-up position, opening angle and gap distribution under the same working condition will be aggregated into the corresponding data group.

[0059] To calculate the coefficient of variation, the value of σ / μ must be determined for each of the operating conditions: normal temperature, low speed, high speed, and continuous. For ease of understanding, a coefficient of variation less than 0.05 can be considered to have a small deviation, while a coefficient of variation greater than 0.1 can be considered to have a large fluctuation. If the coefficient of variation exceeds 0.1 under a particular set of operating conditions, it indicates that this condition causes more significant dimensional fluctuations. To determine a "significant increase," the analysis can require that the coefficient of variation show a relative change of at least 20% between two operating condition combinations. For example, if the coefficient of variation for a certain indicator is 0.04 under normal temperature operation and reaches 0.06 under high-speed operation, this indicates that high-speed operation causes a relative increase of 50% in that indicator, which falls into the category of significant change. If multiple combinations show a continuously increasing coefficient of variation, it indicates that the handle structure is more susceptible to additional deformation or fatigue accumulation under the corresponding operating conditions.

[0060] In the cumulative effect analysis, the number of operations can be regarded as the independent variable and the dimensional change 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=ax can be applied. 2+bx+c for fitting. If the slope m or coefficient a shows a higher value after fitting (for example, the increase reaches 0.02mm / 100 times or more compared with the basic working condition), it can be determined that the handle under this condition shows a trend of rapid wear or plastic deformation. If the measured data distribution is below the fitting curve in the operating range 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, ±0.3mm) at an earlier number of operations, it means that the handle has a potential failure risk under this working condition, and the structural design needs to be further strengthened or the material needs to be improved. Through such a more refined threshold definition and fitting method, the discrete coefficient and cumulative effect data can provide a more intuitive and quantitative assessment of the overall dimensional stability of the hidden door handle under various environmental and load conditions, thereby bringing higher reliability to subsequent quality control and design improvements.

[0061] In one embodiment of the present invention, performing cross-operation analysis on the repetitive statistical data, calculating the dimensional change trend under each operating condition, and obtaining trend characteristic data include: Pairing the normal temperature operation data with the low speed operation data in the repeatability statistical data, calculating the influence coefficient of the ejection speed on the ejection position deviation, the opening angle deviation, and the gap distribution deviation, and obtaining the first operating condition combination data; Pairing the normal temperature operation data with the high-speed operation data in the repeatability statistical data, calculating the influence coefficient of the handle return speed on the closing trajectory deviation, the return angle deviation, and the sealing gap deviation, and obtaining the second working condition combination data; Pairing the normal temperature operation data with the continuous operation data in the repeatability statistical data, calculating the influence coefficient of the number of operations on the articulated axis offset, the transmission mechanism clearance, and the motor output deviation, and obtaining the third working condition combination data; Prioritizing the first operating condition combination data, the second operating condition combination data, and the third operating condition combination data, identifying dominant influencing factors of each operating condition, and obtaining operating condition influencing data; Based on the working condition impact data, an attenuation relationship of the handle performance under various operating conditions is established to obtain trend characteristic data.

[0062] It should be noted that when pairing the normal temperature operation data with the low speed operation data, it is necessary to calculate the average value and standard deviation of the ejection position deviation, opening angle deviation and gap distribution deviation under the two groups of working conditions, and establish a baseline value and a control value for each indicator. In order to quantify the impact of the ejection speed on the above deviation indicators, an influence coefficient β can be defined, which is calculated as follows: β=(X r -X0) / X0. Where X0 represents the average deviation value under normal temperature operation, X rRepresents the average deviation value under low-speed operation. If β is greater than a preset threshold (e.g., 0.2), it indicates a significant increase in deviation compared to normal temperature operation under low-speed conditions, resulting in the first operating condition combination data. If β for the ejection position or opening angle increases significantly, it indicates that the ejection process has a more significant impact on the deformation or fit accuracy of the mechanism, and the gap distribution may also fluctuate with speed increases or decreases.

[0063] In the paired analysis of normal temperature and high-speed operating data, it is necessary to compare whether the return speed causes a greater degree of interference with the closing trajectory deviation, return angle deviation, and seal gap deviation. Similarly, the deviation values ​​measured under normal temperature operation can be used as a benchmark, and the corresponding indicators under high-speed operating conditions can be used as a comparison. By calculating the influence coefficient, it is determined whether there is a significant offset during the high-speed return phase, and the second operating condition combined data is obtained. If the deviation coefficient of the closing trajectory or seal gap increases significantly during high-speed operation, it indicates that the higher speed has reduced the matching accuracy of the return process, and targeted improvements need to be made in the control strategy or structural design.

[0064] To assess the cumulative impact of the number of operations on articulation axis offset, transmission mechanism backlash, and motor output deviation, normal temperature operation data can be paired with continuous operation data to define a third operating condition combination. Here, the focus is on comparing whether the deviation values ​​under continuous operation show rapid accumulation or curve acceleration with the number of operations, and the impact coefficient is calculated using the same method. If the articulation axis offset or transmission mechanism backlash quickly exceeds the set threshold within a short period of time, it indicates that fatigue or wear caused by continuous operation is significant.

[0065] After obtaining the combined data for the first, second, and third operating conditions, the impact coefficients can be prioritized to identify the most significant factors contributing to structural failure or performance degradation under each operating condition. If the impact coefficient for opening angle deviation is highest during low-speed ejection, it can be determined that ejection speed has a significant impact on angle accuracy. If the seal gap deviation increases rapidly during high-speed return, this indicates a higher risk. Next, by combining the impact data for each operating condition with factors such as operating time or number of times, a relationship can be constructed regarding handle performance degradation at different speeds or operating frequencies. By comparing the fitting coefficients or slopes of the decay functions, trend characteristic data can be derived. If the decay rate is too rapid, it indicates insufficient service life or stability under that operating condition, requiring enhancement measures in the material or transmission design. This in-depth quantitative analysis allows for a more comprehensive assessment of the combined impact of multiple operating conditions on the overall reliability of the concealed door handle, providing a basis for subsequent design optimization.

[0066] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made by using the contents of the present invention description and drawings under the inventive concept of the present invention, or direct / indirect application in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A method for detecting hidden door handles of a car, characterized in that: include: Arrange preset grating reference points at multiple measurement positions on the surface of the hidden door handle of the car; Performing dual-wavelength optical interferometry on the grating reference point, and obtaining displacement change data of each measurement point by analyzing the phase difference change of interference fringes formed by the two wavelength lasers; According to the displacement change data, a phase unwrapping algorithm is used to perform calculations to obtain three-dimensional position coordinate data of each measurement point; Calculating the deviation between the actual size and the standard size based on the three-dimensional position coordinate data to generate size deviation distribution data; Performing multi-dimensional feature analysis on the dimensional deviation distribution data to extract dimensional feature data of handle travel distance, swing angle, and gap value; Statistical analysis is performed based on the dimensional characteristic data to obtain a dimensional stability evaluation result of the automobile hidden door handle.

2. The method for detecting hidden door handles of a car according to claim 1, characterized in that: The method of arranging the preset grating reference points at multiple measurement positions on the surface of the automobile hidden door handle body includes: The hidden door handle of the car is divided into the handle grip area, the main hinge axis area, the driving connecting rod area, the pop-up mechanism area and the door panel fitting area; A first density of cross-grating points is arranged along the force direction of the surface of the handle gripping area, and a second density of cross-grating points is arranged along the edge of the door panel laminating area; A first group of annular grating points is set at the shaft end of the main hinge shaft area, a second group of annular grating points is set at the connection of the driving link area, and a third group of annular grating points is set at the driving end of the pop-up mechanism area.

3. The method for detecting hidden door handles of a car according to claim 2, characterized in that: The first group of annular grating points is provided at the shaft end of the main hinge shaft area, the second group of annular grating points is provided at the connection of the driving link area, and the third group of annular grating points is provided at the driving end of the pop-up mechanism area, including: Coaxial inner ring grating and outer ring grating are respectively arranged at the bearing seats at both ends of the main hinge axis area to form a first group of annular grating points; The upper and lower connection points of the driving link area are respectively provided with annular grating arrays arranged in reverse order to form a second group of annular grating points; Cross-arranged radial gratings and circumferential gratings are respectively provided on the motor output end and the transmission end of the ejection mechanism area to form a third group of annular grating points.

4. The method for detecting hidden door handles of a car according to claim 1, characterized in that: The dual-wavelength optical interference measurement is performed on the grating reference point, 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 wavelength lasers, including: Irradiating the cross grating points and the ring grating points with dual-wavelength laser light respectively to obtain a first interference fringe pattern and a second interference fringe pattern; During the pop-up movement of the handle, respectively collecting dynamic change sequences of the first interference fringe pattern and the second interference fringe pattern to obtain interference fringe change data; Calculating the phase change of the interference fringes according to the interference fringes change data, and converting the phase change into a displacement to obtain initial displacement data; Performing posture compensation on the initial displacement data to eliminate measurement errors caused by handle rotation, thereby obtaining compensated displacement data; The compensated displacement data are classified according to the measurement area to obtain displacement change data of each measurement point.

5. The method for detecting hidden door handles of a car according to claim 4, characterized in that: The step of calculating the phase change of the interference fringes according to the interference fringes change data, converting the phase change into a displacement, and obtaining initial displacement data includes: Extract the fringe displacement in the orthogonal direction from the interference fringe change data of the cross grating points to obtain the plane displacement phase data; Extract radial and circumferential fringe displacements from the interference fringe variation data of the annular grating points to obtain rotational displacement phase data; Calculating a dual-wavelength beat signal based on the plane displacement phase data and the rotational displacement phase data to obtain synthetic phase data; A phase unwrapping operation is performed according to the synthesized phase data to restore the phase value to an actual displacement value to obtain initial displacement data.

6. The method for detecting hidden door handles of a car according to claim 1, characterized in that: The phase unwrapping algorithm is used to calculate the displacement change data to obtain the three-dimensional position coordinate data of each measurement point, including: Classifying the displacement change data according to the movement type of the handle, separating the displacement data of the planar movement area and the displacement data of the rotational movement area, and obtaining classified displacement data; Performing a two-dimensional phase unwrapping operation on the plane motion region in the classified displacement data, converting the displacement of the cross grating points into plane coordinate values ​​to obtain plane position data; performing a polar coordinate phase unwrapping operation on the rotational motion region in the classified displacement data, converting the displacement of the annular grating point into a spatial angle value to obtain angular position data; Calculating the relative spatial relationship between the measurement points based on the plane position data and the angular position data to obtain relative coordinate data; A coordinate system conversion is performed on the relative coordinate data to convert the position of each measuring point into a unified spatial coordinate system to obtain three-dimensional position coordinate data of each measuring point.

7. The method for detecting hidden door handles of a car according to claim 1, characterized in that: The step of calculating the deviation between the actual size and the standard size based on the three-dimensional position coordinate data to generate size deviation distribution data includes: The three-dimensional position coordinate data is grouped according to the functional areas of the handle, and the gripping area data, the hinge area data, the transmission area data, and the pop-up area data are separated to obtain zone position data; Calculating a surface profile deviation and a gripping area cross-sectional size deviation for the gripping area data to obtain first area deviation data; Calculating the rotation center offset and the rotation angle deviation for the articulation area data to obtain second area deviation data; Calculating the connection point gap value and the transmission axis deviation for the transmission area data to obtain third area deviation data; Calculating a travel distance deviation and a motion trajectory deviation for the pop-up area data 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 method for detecting hidden door handles of a car according to claim 1, characterized in that: The multi-dimensional feature analysis of the dimensional deviation distribution data is performed to extract the dimensional feature data of the handle travel distance, swing angle and gap value, including: The size deviation distribution data is segmented in time sequence according to the handle pop-up process, the opening process and the return process to obtain segmented deviation data; Calculating the initial ejection distance, maximum ejection distance, and stable ejection position during the ejection process according to the segmented deviation data to obtain stroke characteristic data; Calculate the starting angle, maximum opening angle and return end angle during the opening process according to the segmented deviation data to obtain angle characteristic data; Calculating the gap variation between the handle and the door in the pop-up direction, the vertical direction, and the horizontal direction based on the segmented deviation data to obtain gap characteristic data; The stroke characteristic data, the angle characteristic data and the gap characteristic data are used to perform characteristic correlation analysis to obtain dimension characteristic data.

9. The method for detecting hidden door handles of a car according to claim 1, characterized in that: The statistical analysis based on the dimensional characteristic data is performed to obtain the dimensional stability evaluation results of the automobile hidden door handle, including: Grouping the size characteristic data according to normal temperature operation, low speed operation, high speed operation and continuous operation to obtain group characteristic data; Calculating the dispersion coefficients of the ejection position, the opening angle, and the gap distribution respectively according to the grouped characteristic data to obtain repeatability statistics; Performing a cross-operation analysis on the repetitive statistical data, calculating the dimensional change trend under each operating condition, and obtaining trend characteristic data; Calculate the corresponding relationship between the number of operations and the size change according to the trend characteristic data to obtain cumulative effect data; The cumulative effect data are compared with the standard tolerance range to obtain a dimensional stability evaluation result of the automobile hidden door handle.

10. The method for detecting hidden door handles of a car according to claim 9, characterized in that: The repeatability statistical data is subjected to cross-operation analysis, and the dimensional change trend under each operating condition is calculated to obtain trend characteristic data, including: Pairing the normal temperature operation data with the low speed operation data in the repeatability statistical data, calculating the influence coefficient of the ejection speed on the ejection position deviation, the opening angle deviation, and the gap distribution deviation, and obtaining the first operating condition combination data; Pairing the normal temperature operation data with the high-speed operation data in the repeatability statistical data, calculating the influence coefficient of the handle return speed on the closing trajectory deviation, the return angle deviation, and the sealing gap deviation, and obtaining the second working condition combination data; Pairing the normal temperature operation data with the continuous operation data in the repeatability statistical data, calculating the influence coefficient of the number of operations on the articulated axis offset, the transmission mechanism clearance, and the motor output deviation, and obtaining the third working condition combination data; Prioritizing the first operating condition combination data, the second operating condition combination data, and the third operating condition combination data, identifying dominant influencing factors of each operating condition, and obtaining operating condition influencing data; Based on the working condition impact data, an attenuation relationship of the handle performance under various operating conditions is established to obtain trend characteristic data.

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