Folding screen flexible cover plate optical distortion detection data processing method and system

Abstract

This invention discloses a data processing method and system for optical distortion detection of flexible cover plates for foldable screens, belonging to the field of data processing technology. The method includes: synchronously acquiring optical distortion data sequences and real-time bending angular velocities of each cover plate detection area; normalizing the data based on the bending angular velocity to generate an optical distortion gradient sequence, and extracting structural stress yield period feature windows for each area; performing reverse translation compensation on the time period of the feature windows by combining the spatial linear distance between areas and the internal stress wave propagation velocity constant; obtaining the interlayer stress propagation coupling factor as a correlation coefficient based on the overlap ratio between the main time period and the compensated time period; calculating the current correction coefficient based on the correlation coefficient and generating a real-time distortion threshold, and obtaining a processing strategy based on the current distortion value. This invention has the advantages of dynamic noise reduction, physical hysteresis compensation, and threshold self-adaptation.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to a method and system for processing optical distortion detection data of a flexible cover plate for a foldable screen. Background Technology

[0002] In the field of flexible cover glass manufacturing and quality control for foldable screens, existing optical distortion detection data processing technologies have limitations in application scenarios involving monitoring the optical performance of cover glass in multiple areas under dynamic alternating loads.

[0003] Specifically, existing detection methods typically collect and analyze optical distortion values ​​for each region in isolation, failing to integrate distortion evolution with the real-time folding dynamics parameters of the flexible cover plate. Because flexible polymer materials exhibit nonlinear transient elastic deformation amplification at different bending angular velocities, existing technologies struggle to isolate kinematic deformation interference caused by changes in folding speed, easily misinterpreting normal elastic surges as material fatigue and failing to accurately pinpoint the continuous deterioration range of the structure. Furthermore, when micro-layer delamination or stress yielding occurs in the central region of the folded cover plate, the propagation of internal stress waves to the surrounding transition and edge smoothing regions exhibits a time lag determined by the physical properties of the polymer material. Existing synchronous data comparison mechanisms based on absolute timestamps do not consider this spatial physical propagation delay, making it difficult to align the deformation coupling windows of each region on the time axis. The lack of dynamic normalization mechanism and physical hysteresis compensation capability makes existing systems rely on fixed thresholds for independent judgment, making it difficult to accurately quantify the interlayer stress transmission coupling strength between multiple regions. When faced with global structural collaborative failure caused by local stress transmission, the alarm baseline cannot be adaptively adjusted, resulting in missed detection of microstructural cracks in the cover plate and delayed production line yield warnings. Summary of the Invention

[0004] In response to the technical problems described in the background art, the present invention provides a method and system for processing optical distortion detection data of flexible cover plates for foldable screens.

[0005] A method for processing optical distortion detection data of flexible cover plates for foldable screens includes: acquiring optical distortion data sequences of multiple cover plate detection areas in the previous detection time period, and simultaneously acquiring the real-time bending angular velocity at the corresponding acquisition time point; normalizing the optical distortion data sequences according to the real-time bending angular velocity to obtain an optical distortion gradient sequence, and acquiring the structural stress yield period feature window of each cover plate detection area based on the optical distortion gradient sequence; performing reverse translation compensation on the time periods of the structural stress yield period feature windows of other cover plate detection areas according to the spatial straight-line distance between the i-th cover plate detection area and other cover plate detection areas and the internal stress wave propagation velocity constant, to obtain the time period to be processed after compensation; acquiring the interlayer stress propagation coupling factor and using it as a correlation coefficient according to the overlap ratio between the main time period of the structural stress yield period feature window of the i-th cover plate detection area and the time period to be processed after compensation; acquiring the current correction coefficient of the i-th cover plate detection area according to the correlation coefficient to generate a real-time distortion threshold, and acquiring a processing strategy based on the real-time distortion threshold and the optical distortion value at the current moment.

[0006] Optionally, the optical distortion data sequence is normalized based on the real-time bending angular velocity to obtain an optical distortion gradient sequence, including: obtaining the distortion difference between the previous and subsequent optical distortion values ​​of adjacent data in the optical distortion data sequence; dividing the system-preset reference bending angular velocity constant by the real-time bending angular velocity at the current acquisition time point to obtain the angular velocity compensation ratio; multiplying the distortion difference by the angular velocity compensation ratio to obtain the optical distortion gradient at the corresponding acquisition time point, thereby generating the optical distortion gradient sequence for each cover plate detection area.

[0007] Optionally, the structural stress yield period feature window of each cover plate detection area is obtained based on the optical distortion gradient sequence, including: scanning the optical distortion gradient sequence in chronological order, combining two or more adjacent optical distortion gradients with positive signs to form a continuous degradation interval; counting the number of data contained in each continuous degradation interval, and taking the interval with the most data and the number exceeding a preset number as the structural stress yield period feature window of the corresponding cover plate detection area.

[0008] Optionally, it also includes: if the i-th cover plate detection area does not have a continuous deterioration interval, or if the number of data contained in any continuous deterioration interval of the i-th cover plate detection area does not exceed a preset number, then the i-th cover plate detection area is configured to not have a structural stress yield period feature window, and the value 1 is used as the current correction coefficient of the i-th cover plate detection area.

[0009] Optionally, based on the spatial straight-line distance between the i-th cover plate detection area and other cover plate detection areas and the internal stress wave propagation velocity constant, the time periods of the structural stress yield period feature windows of other cover plate detection areas are reverse-shifted and compensated to obtain the compensated time periods to be processed. This includes: taking the time periods of the structural stress yield period feature windows of other cover plate detection areas as the corresponding time periods to be processed; dividing the spatial straight-line distance between the sensor center point of other cover plate detection areas and the sensor center point of the i-th cover plate detection area by the internal stress wave propagation velocity constant to obtain the corresponding theoretical stress hysteresis time; and reverse-shifting the corresponding time periods to be processed on the time axis by the length of the theoretical stress hysteresis time to generate the compensated time periods to be processed for each cover plate detection area.

[0010] Optionally, based on the overlap ratio between the main time period and the compensated time period to be processed in the structural stress yield period feature window of the i-th cover plate detection area, the interlayer stress transmission coupling factor is obtained and used as the correlation coefficient. This includes: obtaining the overlap time period between the main time period and the compensated time period to be processed in each cover plate detection area; dividing the length of each overlap time period by the length of the main time period to obtain the interlayer stress transmission coupling factor, and using each interlayer stress transmission coupling factor as the correlation coefficient between the i-th cover plate detection area and other cover plate detection areas; wherein, for cover plate detection areas configured to not have a structural stress yield period feature window, the length of their corresponding overlap time period is determined to be zero.

[0011] Optionally, before acquiring the optical distortion data sequence, the method further includes: determining whether the current detection time period is the first detection time period; if it is the first detection time period, configuring each cover plate detection area to an initial independent state, using the value 1 as the current correction coefficient for all cover plate detection areas, and calling the calibration distortion threshold pre-stored by the system as the processing strategy for the current moment.

[0012] Optionally, the current correction coefficient of the i-th cover plate detection area is obtained based on the correlation coefficient, including: traversing the correlation coefficients between the i-th cover plate detection area and all other cover plate detection areas, obtaining the number of correlation coefficients whose values ​​are lower than the standard correlation threshold, and taking this number as the first number; calculating the difference between the total number of cover plate detection areas and the value 1, and dividing the first number by the difference to obtain the current correction coefficient of the i-th cover plate detection area.

[0013] Optionally, generating a real-time distortion threshold based on the current correction coefficient includes: multiplying half of the preset calibration distortion threshold of the i-th cover plate detection area by the current correction coefficient, and adding the product to half of the calibration distortion threshold to generate the real-time distortion threshold of the i-th cover plate detection area.

[0014] A data processing system for optical distortion detection of flexible cover plates for foldable screens is also provided. The system is used to implement a method for processing optical distortion detection data of flexible cover plates for foldable screens. The system includes: an acquisition module for acquiring optical distortion data sequences of multiple cover plate detection areas from the previous detection time period, and simultaneously acquiring the real-time bending angular velocity at the corresponding acquisition time point; a first data processing module for normalizing the optical distortion data sequences based on the real-time bending angular velocity, acquiring an optical distortion gradient sequence, and acquiring the structural stress yield period feature window of each cover plate detection area based on the optical distortion gradient sequence; and a second data processing module for processing the i-th cover plate detection area and its corresponding data. The system uses the spatial straight-line distance between each cover plate detection area and the internal stress wave propagation velocity constant to perform reverse translation compensation on the time period of the structural stress yield period feature window of each other cover plate detection area, and obtain the time period to be processed after compensation; based on the overlap ratio between the main time period of the structural stress yield period feature window of the i-th cover plate detection area and the time period to be processed after compensation, it obtains the interlayer stress propagation coupling factor and uses it as the correlation coefficient; the third data processing module is used to obtain the current correction coefficient of the i-th cover plate detection area according to the correlation coefficient, so as to generate the real-time distortion threshold, and obtain the processing strategy based on the real-time distortion threshold and the optical distortion value at the current moment.

[0015] The beneficial effects of this invention are reflected in:

[0016] In the entire data processing method for optical distortion detection of flexible cover plates in foldable screens, firstly, a dynamic normalization mechanism is adopted to numerically compensate for the distortion gradient using real-time bending angular velocity. This eliminates the interference from transient elastic deformation amplification of polymer materials caused by changes in folding speed, and extracts the structural stress yield period characteristic window characterizing material fatigue and micro-layer delamination. Simultaneously, combining the delay property of stress wave propagation within the flexible material, the theoretical stress hysteresis time is calculated based on spatial distance and stress wave velocity, and inverse translation compensation is performed. This aligns the transmission path of deformation coupling between different regions on the time axis, quantifies the interlayer stress transmission coupling factor between multiple regions, and compensates for the deficiency in existing technologies that do not consider physical transmission time differences. Furthermore, this scheme transforms the quantified cooperative coupling strength into an adaptive dynamic distortion threshold. When local micro-damage triggers cross-regional correlation evolution, the system can dynamically adjust the alarm baseline, achieving early intervention for structural cooperative failure of the cover plate. This reduces the false alarm rate caused by test rate and environmental fluctuations, and improves the accuracy of production line yield warnings. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0018] Figure 1 This is a schematic diagram of the steps in the optical distortion detection data processing method for the flexible cover plate of the foldable screen of the present invention;

[0019] Figure 2 This is a schematic diagram of a portion of step S1 in the optical distortion detection data processing method for flexible cover plates of foldable screens of the present invention;

[0020] Figure 3 This is a schematic diagram of a portion of step S2 in the optical distortion detection data processing method for flexible cover plates of foldable screens of the present invention;

[0021] Figure 4 This is a schematic diagram of a portion of step S3 in the optical distortion detection data processing method for flexible cover plates of foldable screens of the present invention;

[0022] Figure 5 This is a schematic diagram of a portion of step S4 in the optical distortion detection data processing method for the flexible cover plate of the folding screen of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0024] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0025] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0026] This invention provides a method for processing optical distortion detection data of flexible cover plates for foldable screens, such as... Figure 1 As shown, in one specific embodiment, the method includes:

[0027] S1. First, determine the current detection time period status to configure the initialization state and avoid operation interruption in the absence of historical data; then, perform spatial physical mapping on multiple detection areas of the flexible cover plate to obtain and record the positional relationship between the detection sensors in each area; finally, synchronously extract the optical distortion data sequence of each detection area in the previous detection time period on the time axis, and obtain the real-time bending angular velocity corresponding to each acquisition time point.

[0028] S2. Using the synchronously acquired real-time bending angular velocity, the changes in optical distortion values ​​between adjacent sampling points are normalized to generate an optical distortion gradient sequence. Then, the sequence is scanned in chronological order to extract the data segments with continuous positive changes. Finally, by statistically analyzing the number of samples contained in the continuous data segments and comparing it with a preset threshold, the structural stress yield period feature window characterizing the internal damage of the material is obtained, and a default configuration mechanism under empty set conditions is set.

[0029] S3. First, define the time period of the characteristic window of the structural stress yield period in each region; then, based on the spatial straight-line distance between each detection region and the stress wave propagation velocity constant inside the material, calculate the theoretical physical propagation delay, and perform reverse translation compensation on the relevant time period on the time axis to align the distortion propagation path in time sequence; finally, by calculating the overlap ratio between the main time period and the compensated time period to be processed, quantify the interlayer stress propagation coupling factor between regions and use it as the correlation coefficient.

[0030] S4. First, iterate through the correlation coefficients between the target area and other areas, and obtain the first quantity by comparing it with the standard correlation threshold. Then, calculate the current correction coefficient of the target area in combination with the total number of cover plate detection areas. Next, use the correction coefficient to adjust the preset calibration distortion threshold to generate the real-time distortion threshold. Finally, compare the optical distortion value obtained at the current moment with the real-time distortion threshold to obtain the corresponding processing strategy.

[0031] In this embodiment, it should be noted that in S1, a low-level monitoring data matrix containing spatial location attributes and real-time dynamic parameters is constructed to address the technical obstacles of initializing blind spots and synchronously acquiring heterogeneous data under complex deformation conditions. In the initial stage of equipment operation, due to the lack of historical sequences as a comparison benchmark, the detection time period status is determined first. If it is determined that the current time period is the first detection time period, all cover plate detection areas will be forced to be configured in an initial independent state, the current correction coefficient will be set to a constant 1 by default, and the preset calibration distortion threshold will be directly called for safe takeover. This cold start protection mechanism prevents abnormal calculations from occurring in the low-level computational logic due to an empty pre-array.

[0032] After entering continuous operation, multi-region spatial physical mapping is performed. For example, the flexible polymer cover is divided into a detection network of three regions, covering the fold center region, bending transition region, and edge flattening region. The physical spatial straight-line distance between the sensors in the fold center region and the bending transition region is measured to be 15.0 mm. At this time point, the optical distortion data sequence of each region in the previous detection time period is extracted. Assuming the sensor sampling period is 2 milliseconds, the real-time bending angular velocity of the flexible cover is synchronously acquired at the same timestamp, for example, the angular velocity of a certain sampling point is 3.0 radians per second. This step, through strict spatiotemporal alignment, integrates the simple optical distortion phenomenon with the dynamic conditions applied by the external driving mechanism at a low level. This changes the traditional method of processing optical features in isolation and lays a reliable data foundation for subsequent algorithms to filter kinematic noise and track stress transmission paths.

[0033] In S2, a structural stress yield period feature extraction based on dynamic normalization is implemented, which mainly solves the problem of transient elastic deformation amplification interference caused by fluctuations in the folding action rate of polymer materials. In the actual folding process, a higher bending angular velocity will cause the cover plate material to exhibit stronger deformation resistance and a sudden increase in transient optical distortion. This phenomenon can easily be misjudged as irreversible material fatigue.

[0034] Therefore, an optical distortion gradient calculation formula is introduced. Taking the folded center region as an example, if the original optical distortion values ​​at the k-1 and k-th acquisition time points are 18.5 micrometers and 21.5 micrometers respectively, and the current real-time bending angular velocity... The preset reference bending angular velocity constant is 3.0 radians per second. If the angle of change is 1.5 radians per second, the calculated optical distortion gradient is the difference between 21.5 and 18.5, multiplied by 1.5 and divided by 3.0, resulting in 1.5 micrometers. This calculation logic uses the ratio of the reference angular velocity to the real-time angular velocity as a compensation factor to proportionally reduce the kinematic increment caused by excessively fast movement from the original distortion difference. Subsequently, the normalized gradient sequence is scanned. If the optical distortion gradient is found to be greater than zero for 25 consecutive sampling points (spanning 50 milliseconds), a continuous degradation interval is formed. When the amount of data contained in this interval exceeds a preset standard of 15, it is configured as a structural stress yield period feature window. This processing method, through normalized damping of the mathematical model, filters out the normal elastic fluctuations caused by external working conditions and extracts the true structural degradation characteristics.

[0035] In S3, interlayer stress conduction coupling calculation based on physical hysteresis compensation was implemented, overcoming the technical limitation of existing technologies that do not consider the time difference of physical conduction within the material when comparing data from multiple regions. When microstructural damage occurs in the fold center region, the transmission of its internal distorted stress wave to the surrounding bending transition region requires a significant amount of physical time. If absolute timestamps are used for overlap analysis, it will lead to mismatches in the time series.

[0036] Furthermore, the theoretical stress hysteresis time calculation formula is adopted. To correct this spatiotemporal misalignment, the spatial straight-line distance between the fold center area and the bending transition area is set. The internal stress wave propagation velocity constant is 15.0 mm, pre-calibrated through material tensile testing. With a speed of 2000 mm / s, the theoretical stress hysteresis time calculated using the formula is 0.0075 seconds, or 7.5 milliseconds. The time period to be processed in the bending transition zone is shifted 7.5 milliseconds backward along the time axis to generate the compensated time period. If the main time period length of the folded center region is 50 milliseconds, after the shift compensation, the overlap time period length between the two on the time axis is aligned to 42 milliseconds. Dividing the overlap length by the main time period length yields an interlayer stress transmission coupling factor of 0.84. For the edge smoothing region without continuous deterioration, the coupling factor is directly output as 0 according to the empty set processing mechanism. This reverse shift compensation logic quantifies the fatigue deformation coupling correlation between different regions by restoring the true transmission trajectory of physical stress, improving the fit between data mapping and the physical entity state.

[0037] In S3, a threshold adaptive reconstruction and processing strategy response mechanism was constructed. This mechanism aims to dynamically adjust the alarm baseline through quantified cooperative coupling strength, enabling early intervention against the risk of global failure caused by local microscopic damage. The standard correlation threshold is set to 0.40. Among the two coupling factors corresponding to the folded center area (values ​​0.84 and 0), only the value 0 is lower than this standard threshold; therefore, the first quantity is counted as 1. The current total number of cover plate detection areas is 3. Dividing the first quantity 1 by the difference between the total quantity and 1 (i.e., 2), the current correction coefficient for the folded center area is 0.5.

[0038] Furthermore, a real-time distortion threshold generation formula is adopted. A defense line reconstruction is performed. If the preset static calibration distortion threshold for the folded center area is 40.0 micrometers, after substituting the current correction coefficient of 0.5, the real-time distortion threshold tightens to 30.0 micrometers. This calculation logic constructs a physical damping feedback mechanism: when the deterioration of the target area exhibits highly isolated characteristics, the correction coefficient approaches 1, and the threshold remains within the normal tolerance range to resist environmental noise; while when the target area triggers high-intensity coupling across multiple areas, the threshold is proportionally reduced, and can shrink to a maximum of half of the original calibration value. At this time, if the optical distortion value read at the current moment is 34.0 micrometers, although it has not reached the static red line of 40.0 micrometers, it has exceeded the dynamic threshold of 30.0 micrometers, and an early warning intervention is immediately executed. This measure, without increasing the hardware sampling frequency, moves the risk interception node forward, reducing the probability of missed detection of structural collaborative failures.

[0039] In summary, the entire data processing method for optical distortion detection of flexible cover plates in foldable screens firstly employs a dynamic normalization mechanism to numerically compensate for the distortion gradient using real-time bending angular velocity. This eliminates the interference from transient elastic deformation amplification caused by changes in the folding speed of the polymer material, and extracts the structural stress yield period characteristic window characterizing material fatigue and micro-layer delamination. Simultaneously, combining the delayed properties of stress wave propagation within the flexible material, the theoretical stress hysteresis time is calculated based on spatial distance and stress wave velocity, and inverse translation compensation is performed. This aligns the transmission paths of deformation coupling between different regions on the time axis, quantifies the interlayer stress transmission coupling factor between multiple regions, and compensates for the deficiency in existing technologies that do not consider physical transmission time differences. Furthermore, this scheme transforms the quantified cooperative coupling strength into an adaptive dynamic distortion threshold. When local micro-damage triggers cross-regional correlation evolution, it can dynamically adjust the alarm baseline, achieving early intervention for structural cooperative failure of the cover plate. This reduces the false alarm rate caused by test rate and environmental fluctuations, and improves the accuracy of production line yield warnings.

[0040] like Figure 2 As shown, in one embodiment, S1 includes: S11, obtaining the sequence number of the detection time period at the current moment. Determining whether the current detection time period is the first detection time period. If it is the first detection time period, there is no optical distortion data sequence from the previous detection time period. Each cover plate detection area is configured to an initial independent state, the value 1 is used as the current correction coefficient for all cover plate detection areas, and the pre-stored calibration distortion threshold is called as the processing strategy for the current moment, ending the current determination. If it is determined that the current detection time period is not the first detection time period, then S12 is executed.

[0041] S12. Obtain multiple cover plate detection areas of total number N, where N is a positive integer greater than or equal to 3. The division of the cover plate detection areas is based on the physical stress distribution of the flexible cover plate, including the folding center area, transition area, and edge flat area. Obtain and record the spatial straight-line distance between the sensor center points of each cover plate detection area.

[0042] S13. For the i-th cover plate detection area, acquire its optical distortion data sequence during the previous detection time period. This optical distortion data sequence consists of optical distortion values ​​acquired sequentially at multiple acquisition time points. Simultaneously acquire the real-time bending angular velocity of the flexible cover plate at the corresponding acquisition time point.

[0043] In this embodiment, it should be noted that S11 aims to address the technical obstacle of data processing module crashing or getting stuck in an infinite loop due to lack of historical reference data during the initial startup phase of the detection equipment by determining the detection time period status and initializing the configuration. In actual continuous processing or testing production lines, data tracking relies on the comparison of previous time windows. Assuming the equipment has just been powered on and entered the first detection time period, no optical distortion data from the previous detection time period has yet been accumulated in the memory. If no specific intervention logic is set, the module that subsequently calculates the distortion difference will be interrupted due to referencing an empty array.

[0044] To this end, the current time sequence number is identified at this time sequence node. Once it is confirmed to be the first cycle, all cover plate detection areas on the foldable screen are immediately forced to initialize to an independent state. In this state, the current correction coefficient is set to a default value of 1, and a preset calibration distortion threshold such as 40.0 micrometers is directly used as the judgment standard. This processing mechanism ensures basic static threshold protection during the cold start phase, while smoothly transitioning to subsequent continuous data acquisition and comparison processes, ensuring the robustness and continuous availability of the underlying computing architecture at any stage of operation.

[0045] In S12, by implementing multi-region spatial physical mapping, the fundamental problem of traditional detection methods—treating each test point of the cover plate in isolation and lacking spatial dimensional correlation topology—is solved. When a flexible cover plate is subjected to alternating stress, its deformation and microscopic damage are not confined to a single point but diffuse outwards according to the laws of material mechanics. To recreate this physical diffusion path at the algorithm level, a total of three cover plate detection areas are obtained, defined as the folding center area, the bending transition area, and the edge smoothing area, and assigned positional attributes in a unified coordinate system. During the mapping process, the precise positional relationship between the center points of the optical sensors configured in each area is recorded; for example, the physical spatial straight-line distance between the sensor in the folding center area and the sensor in the bending transition area is measured and recorded as 15.0 mm.

[0046] The extraction of this spatial parameter does not participate in simple brightness or optical numerical calculations, but provides an objective distance variable input for subsequent analysis of the physical propagation delay of stress waves inside polymer materials, thereby establishing a multi-node linkage network model corresponding to the real physical entity within the data processing.

[0047] In S13, the focus is on the synchronous extraction of multi-dimensional time-series operating data, primarily aimed at resolving the disconnect between pure optical distortion data and the equipment's dynamic operation commands. When the test equipment reaches the 500th detection time interval, the optical distortion data sequence from the previous time interval is extracted for the folding center area. Assuming the sensor's sampling period is set to 2 milliseconds, a series of absolute optical distortion values ​​are continuously acquired within this time span. Based on this, at identical timestamps, the real-time bending angular velocity of the flexible cover folding mechanism at each acquisition point is synchronously extracted.

[0048] For example, at the k-th acquisition time point, the real-time bending angular velocity was read as 3.0 radians per second. This time-axis alignment mechanism binds the static optical characterization of the cover plate surface to the externally applied dynamic deformation load at a fundamental level. This allows subsequent data processing to not only determine the extent of distortion of the cover plate at that moment, but also to accurately grasp the bending rate applied by the device when this distortion occurs, providing the necessary raw input parameter combination for subsequent algorithms to specifically remove kinematic disturbances.

[0049] like Figure 3 As shown, in one embodiment, S2 includes: S21, traversing the optical distortion data sequence of the i-th cover plate detection area, obtaining the distortion difference between the next optical distortion value and the previous optical distortion value of adjacent data. Dividing the preset reference bending angular velocity constant by the real-time bending angular velocity at the current acquisition time point, the angular velocity compensation ratio is obtained. Multiplying the distortion difference value by the angular velocity compensation ratio, the optical distortion gradient at the corresponding acquisition time point is obtained. The optical distortion gradient sequence of each cover plate detection area is calculated and generated using the following formula:

[0050]

[0051] in, This represents the optical distortion gradient calculated for the i-th cover plate detection area at the k-th acquisition time point; This represents the original optical distortion value of the i-th cover plate detection area at the k-th acquisition time point; This represents the original optical distortion value of the i-th cover plate detection area at the k-1 acquisition time point; This represents the real-time bending angular velocity of the flexible cover at the k-th data collection point; This represents the preset reference bending angular velocity constant; The value is a positive integer representing the current cover plate detection area number, ranging from 1 to N; The value is a positive integer representing the data collection time point number, ranging from 2 to K. This represents the total number of data collection points within the previous detection period.

[0052] S22. The optical distortion gradient sequence obtained by scanning in chronological order is combined with two or more adjacent optical distortion gradients, all of which are positive, to form a continuous degradation interval.

[0053] S23. Count the number of data contained in each continuous deterioration interval. The interval with the most data and whose number exceeds a preset number is used as the structural stress yield period feature window of the corresponding cover plate detection area. If the i-th cover plate detection area does not have a continuous deterioration interval, or if the number of data contained in any continuous deterioration interval of the i-th cover plate detection area does not exceed the preset number, then the i-th cover plate detection area is configured as having no structural stress yield period feature window, and the value 1 is used as the current correction coefficient of the i-th cover plate detection area.

[0054] In this embodiment, it should be noted that in S21, by applying kinetic normalization and generating an optical distortion gradient sequence, the problem of transient elastic deformation amplification caused by folding rate fluctuations being misjudged as material structural degradation is solved. When the polymer flexible cover plate is subjected to high bending angular velocities, its short-term deformation surges. To eliminate this interference, a calculation formula is used to obtain the gradient.

[0055] Specifically, in the data processing method for optical distortion detection of flexible cover plates in foldable screens, the calculation expression for S21 is... It undertakes the core task of filtering out kinematic interferences and extracting intrinsic material deformation characteristics. In this expression, This represents the optical distortion gradient calculated for the i-th cover plate detection area at the k-th acquisition time point; This represents the original optical distortion value of the i-th cover plate detection area at the k-th acquisition time point. This represents the original optical distortion value of the i-th cover plate detection area at the k-1 sampling time point. The difference between these two values ​​constitutes the original deformation increment within this sampling period. This represents the real-time bending angular velocity actually output by the flexible cover folding mechanism at the k-th data collection time point, while This is a pre-defined benchmark bending angular velocity constant used to unify the evaluation dimensions. The method for determining this benchmark bending angular velocity constant is based on statistical processing of angular velocity data from a limited number of historical normal use tests of flexible cover plates for similar foldable screens. Specifically, it involves collecting, for example, the historical sequence of maximum real-time angular velocities from the past 100 normal opening and closing tests. After removing the top and bottom 5% of extreme outliers, the arithmetic mean of the remaining valid historical data is calculated. To ensure engineering safety margins, this average is multiplied by a weighting factor of 0.8, thus serving as the benchmark value for unifying the evaluation dimensions. For example, in 100 historical opening and closing tests, the average normal maximum angular velocity after removing extreme values ​​is 1.875 radians per second. Multiplying this by 0.8 yields 1.5 radians per second, which is used as the benchmark bending angular velocity constant.

[0056] The reason for including a multiplication process involving the ratio of angular velocities is that flexible polymer materials generally exhibit viscoelastic characteristics. When the externally applied bending angular velocity increases, the polymer chains within the material cannot flexibly slip in time, resulting in a temporary increase in rigidity and amplification of transient elastic deformation on a macroscopic scale. If only the original optical distortion difference is relied upon for evaluation, it is easy to misjudge the normal elastic surge caused by excessively rapid folding as microscopic fracture or fatigue within the material. This expression introduces a ratio... As a mathematical damping compensation factor, it objectively corrects this deviation.

[0057] For example, suppose that during a certain high-frequency test cycle, the optical distortion value of adjacent sampling points in the folded center area changes from 18.5 micrometers to 21.5 micrometers, with an initial difference of 3.0 micrometers. At this time, the real-time bending angular velocity of the device is... Up to 3.0 radians per second, while the set benchmark bending angular velocity The value is 1.5 radians per second. Substituting these specific data into the expression, the normalized optical distortion gradient can be calculated as follows: Micrometers. Through this calculation, the original difference of up to 3.0 micrometers was proportionally reduced to 1.5 micrometers, thus mathematically eliminating the interference from elastic deformation amplification caused by excessively fast action rates. This calculation process effectively solves the technical problem of dynamic deformation noise masking real physical damage under varying working conditions, enabling the finally extracted continuous degradation range to truly and objectively reflect the evolution process of interlayer delamination or stress yielding within the material. This provides a set of deeply purified underlying feature data sources for subsequent accurate comparison of multi-region deformation causal relationships on a unified time axis.

[0058] In step S22, by acquiring a continuous degradation range, random fluctuations in single-point or small amounts of data caused by vibrations in the production environment or transient electrical noise from sensors are eliminated. After normalization in step S21, an optical distortion gradient sequence stripped of kinematic interference is obtained. At this point, the gradient values ​​in this sequence are scanned sequentially by sign. In actual operation, if the material structure is in a normal elastic recovery or stable period, its gradient values ​​will exhibit alternating positive and negative values. Only two or more consecutively adjacent gradient values ​​with positive signs are combined for extraction. For example, within a 50-millisecond observation window, 25 consecutive sampling points were found to have optical distortion gradients greater than zero. This indicates that within this time span, the optical performance of the cover material is continuously deteriorating unidirectionally without any signs of rebound or repair. By extracting this continuous positive change characteristic segment, the unidirectional degradation process of the material's physical properties can be effectively focused on, avoiding mistaking accidental environmental disturbances for substantial structural fatigue initiation.

[0059] In S23, by configuring the structural stress yield period feature window and empty set processing mechanism, the threshold for determining substantial fatigue damage is quantified, and the ineffective computational power consumption for healthy regions is eliminated. The number of sampling points included in each continuous deterioration interval obtained in the previous step is statistically compared. The method for determining the preset number of data points included in continuous deterioration intervals is based on deep tracking and feature extraction of a limited number of historical destructive fatigue test data. Specifically, for example, 50 flexible cover plate samples that have undergone actual interlaminar delamination are selected, and the historical time window of continuous positive optical distortion gradients before irreversible physical fracture is traced back. The number of continuous positive abrupt change data points before fracture for these 50 samples is recorded. Based on this, the median of these data points is calculated, and the threshold is set in conjunction with the sensor sampling period to filter out occasional noise. For example, in the backtracking of 50 historical fracture sample data, the median number of continuous positive abnormal sampling points before fracture is statistically obtained as 15. Therefore, the preset number is set to 15, which serves as the standard for determining the structural stress yield period feature window.

[0060] Assuming a preset threshold of 15 data points, if the folded center region contains a deterioration interval with 25 consecutive positive gradient data points, and since 25 is greater than 15, this interval is identified as the structural stress yield period characteristic window of the folded center region, indicating that the region has entered a substantial fatigue deterioration stage. Conversely, if the edge flat region is not subjected to concentrated stress, its maximum extracted consecutive deterioration interval only contains 4 data points, which is less than the preset number. In this case, an empty set processing mechanism is triggered, configuring the edge flat region as having no structural stress yield period characteristic window and forcing its current correction coefficient output to a value of 1. This logic sets a clear physical damage duration limit, filtering out minor fatigue that, although exhibiting unidirectional changes, has insufficient duration, while ensuring the data state stability of undamaged areas in subsequent calculation steps.

[0061] like Figure 4 As shown, in one embodiment, S3 includes: S31, taking the time period of the structural stress yield period feature window of the i-th cover plate detection area as the main time period. Taking the time periods of the structural stress yield period feature windows of the other cover plate detection areas as the corresponding time periods to be processed.

[0062] S32. Divide the linear distance between the sensor center point of each of the other cover plate detection areas and the sensor center point of the i-th cover plate detection area by the internal stress wave propagation velocity constant to obtain the corresponding theoretical stress hysteresis time. The following formula is used for calculation:

[0063]

[0064] in, This represents the theoretical stress hysteresis time between the other j-th cover plate detection area and the i-th cover plate detection area; This represents the physical spatial straight-line distance between the sensor center point of the j-th cover plate detection area and the sensor center point of the ith cover plate detection area; This represents the internal stress wave propagation velocity constant of the flexible cover material; It is a positive integer representing the current main cover plate detection area number; Let be a positive integer representing the inspection area number of other cover plates, and .

[0065] The corresponding time period to be processed is shifted backward on the time axis by the length of the theoretical stress hysteresis time, thus generating the compensated time period to be processed for each cover plate detection area.

[0066] S33. Obtain the overlapping time periods between the main time period and the compensated time periods for each cover plate detection area. Divide the length of each overlapping time period by the length of the main time period to obtain the interlayer stress transmission coupling factor. Use each interlayer stress transmission coupling factor as the correlation coefficient between the i-th cover plate detection area and all other cover plate detection areas. For cover plate detection areas configured to not have a structural stress yield period feature window, the length of their corresponding overlapping time period is determined to be zero.

[0067] In this embodiment, it should be noted that in S31, by defining the time-domain projection interval, a clear comparison target is anchored on the time axis for subsequent multidimensional spatial coupling degree calculation. After extracting the fatigue characteristics of each region, a unified time scale is needed to evaluate the chronological relationship of these physical degradations. The starting point to the ending point of the structural stress yield period feature window of the folded center region, which has been determined, is defined on the time axis as the main time period of this region, for example, the time span is from 100 milliseconds to 150 milliseconds. Simultaneously, the time interval covered by the structural stress yield period feature window extracted from the bending transition region is defined as the time period to be processed, for example, from 107.5 milliseconds to 149.5 milliseconds.

[0068] This definition process does not change the size or content of the original data, but rather projects the continuous degradation characteristics scattered across different sensor data streams onto the same global time axis. This provides rigorous time-domain boundary conditions for subsequent analysis of stress wave propagation paths and calculation of the degree of overlap in physical behavior of different detection areas within a specific time window.

[0069] In S32, internal stress wave physical propagation delay compensation is implemented to solve the time series mismatch problem caused by the time consumption of material stress transmission when using absolute timestamp synchronous comparison. When deformation occurs in the fold center region, causing stress waves to propagate to the bending transition region, this physical process requires time. Without compensation, directly comparing time periods would underestimate the true physical coupling between the two.

[0070] Specifically, after obtaining the purified intrinsic deformation characteristics, the calculation expression in S32... It is responsible for correcting the physical propagation error of deformation coupling between multiple regions in the time domain. In this expression, This represents the theoretical stress hysteresis time between the other j-th cover plate detection area and the i-th cover plate detection area; This represents the physical spatial straight-line distance between the sensor center point of the j-th cover plate detection area and the sensor center point of the ith cover plate detection area; This represents the internal stress wave propagation velocity constant of the flexible cover material. The specific method for determining the internal stress wave propagation velocity constant is based on regression calculations using historical data from tensile fatigue experiments on a limited batch of polymer materials. Specifically, pulsed stress is applied to, for example, 30 standard-sized flexible cover material samples under constant temperature and humidity conditions. A high-speed dual-channel sensor records the absolute time difference of the stress wave propagation from the excitation end to the receiving end. These 30 sets of historical data corresponding to distance and time difference are collected. A least-squares method is used for linear fitting. After removing invalid samples with dispersion exceeding twice the standard deviation, the slope of the fitted line is taken as the stress wave propagation velocity of the material. For example, in 30 historical calibration experiments, for two monitoring points 20.0 mm apart, the average propagation time difference obtained after error removal is 0.01 seconds. Dividing 20.0 mm by 0.01 seconds yields an internal stress wave propagation velocity constant of 2000 mm / s.

[0071] Furthermore, the physical basis for setting up this division operation is that when the folded central region is subjected to concentrated stress and microstructural damage, its deformation energy will be transmitted to the surrounding bending transition zone and the smooth edge zone in the form of stress waves. Since polymer materials are solid media, the propagation of stress waves within them requires objective physical time and does not occur instantaneously. Traditional analysis methods often rely on absolute timestamps for synchronous overlapping comparison, which can lead to misalignment of two physically causally related deformations on the time axis, thus underestimating or omitting the synergistic degradation relationship between different regions. This expression maps the geometric interval in the spatial dimension to a hysteresis compensation amount in the temporal dimension through the expression of distance divided by velocity.

[0072] Taking specific industrial test data as an example, assume that the sensor records the straight-line distance between the fold center area and the bending transition area. The value is 15.0 mm, and the internal stress wave propagation velocity constant of this batch of flexible cover material is... The calibration is set to 2000 mm / s. Substituting this value into the expression and performing calculations, the theoretical stress hysteresis time can be obtained. for The time interval is 7.5 milliseconds. After obtaining this specific value, the time period to be processed extracted from the bending transition zone is shifted backwards by 7.5 milliseconds on the time axis. This backward shift operation with clear physical parameter constraints cancels out the time difference consumed by the propagation of stress waves within the material, aligning the source region of the induced deformation with the region receiving the stress in causal time sequence. This calculation process solves the problem of coupling degree calculation distortion caused by physical transmission delays in monitoring data scattered across multiple regions, ensuring that the interlayer stress transmission coupling factor obtained by calculating the overlap ratio of time periods can objectively and quantitatively map the degree of global damage co-evolution of the entire flexible cover plate under complex alternating loads.

[0073] In S33, the interlayer stress transmission coupling factor is extracted based on the compensated temporal data, transforming the complex multi-region dynamic evolution correlation into a specific one-dimensional value. After reverse translation, the main time period (100 to 150 milliseconds) of the folded center region with a length of 50 milliseconds is truncated in the temporal domain with the compensated unprocessed time period (100 to 142 milliseconds) of the bending transition region. The overlap between the two on the time axis is from 100 milliseconds to 142 milliseconds, with an overlap time period length of 42 milliseconds. Dividing the overlap length of 42 by the main time period length of 50 yields an interlayer stress transmission coupling factor of 0.84, which is used as the correlation coefficient between the two. For edge flattened regions configured without feature windows, the overlap length is forced to be 0 according to the empty set mechanism, and the correlation coefficient is 0.

[0074] This calculation logic objectively maps the coordinated deformation intensity caused by stress transfer between different physical regions by the proportion of overlap time. The coefficient of 0.75 indicates that most of the fatigue degradation in the transition zone is highly consistent with the fold center region in terms of causal timing, quantifying the propagation trend of structural degradation.

[0075] like Figure 5 As shown, in one embodiment, S4 includes: S41, a preset standard association threshold. The association coefficients between the i-th cover plate detection area and all other cover plate detection areas are traversed, and the number of association coefficients with values ​​lower than the standard association threshold is obtained, and this number is used as the first quantity.

[0076] S42. Divide the first quantity by the difference between the total number of cover plate detection areas minus 1 to obtain the current correction coefficient of the i-th cover plate detection area.

[0077] S43. Multiply half of the preset calibration distortion threshold for the i-th cover plate detection area by the current correction coefficient, and add the product to half of the calibration distortion threshold to generate the real-time distortion threshold for the i-th cover plate detection area. The calculation formula is as follows:

[0078]

[0079] in, This represents the real-time distortion threshold for the i-th cover plate detection area; This represents a fixed calibration distortion threshold preset for the i-th cover plate detection area; This represents the current correction coefficient for the i-th cover plate detection area calculated in S42; constant 2 is a fixed denominator value; It is a positive integer representing the current cover plate detection area number.

[0080] S44. Obtain the optical distortion value of the i-th cover plate detection area at the current moment. Compare the current optical distortion value with the real-time distortion threshold. Based on the real-time distortion threshold and the current optical distortion value, determine the processing strategy: if the current optical distortion value is greater than or equal to the real-time distortion threshold, issue a warning or shut down and isolate the system; if the current optical distortion value is less than the real-time distortion threshold, maintain the current detection state.

[0081] In this embodiment, it should be noted that in S41, by extracting the first quantity, the problem of how to assess the impact range of the degradation trend of a single target area on the entire flexible cover plate is solved. After obtaining the correlation coefficients (0.84 and 0, respectively) between the fold center area and the bending transition area and the edge flattening area, a standard correlation threshold is preset. The method for determining the standard correlation threshold is based on cluster analysis of a limited number of multi-regional coordinated deformation data of flexible cover plates on historical production lines. Specifically, it involves extracting, for example, 200 historical events that were accurately identified by the system as global structural coordinated failures, calculating the interlayer stress transmission coupling factor between different regions when these events occurred, constructing a feature distribution histogram of these 200 sets of coupling factor data, and finding the intersection point of the Gaussian distribution trough that distinguishes between local isolated deformation and global coordinated degradation. This intersection point is directly used as the judgment threshold. For example, in the statistical distribution chart of the 200 historical coordinated failure data, it was found that coupling factors without obvious impact were mostly concentrated around 0.15, while coupling factors with strong correlation impact were mostly concentrated above 0.70. The intersection point of the historical distributions of the two fell precisely at 0.40. Therefore, 0.40 was set as the standard correlation threshold for distinguishing whether high-intensity coordinated degradation had occurred.

[0082] Furthermore, these two correlation coefficients are iterated and compared with 0.40. Under this setting, only the correlation coefficient 0 is lower than the standard correlation threshold of 0.40. Therefore, the number of correlation coefficients with values ​​lower than the threshold is counted and set as the first quantity 1. This calculation logic constructs a filter, and the "first quantity" it counts essentially represents the number of independent regions in the current cover plate that have not yet undergone high-intensity collaborative deterioration with the fold center area. The smaller the first quantity, the more regions have generated strong linkage deterioration with the target region, thus objectively reflecting the spread and isolation degree of local lesions in the global context.

[0083] In S42, the current correction coefficient is calculated based on the extracted first quantity, transforming the global degradation diffusion assessment result into a shrinkage weight that can directly participate in equipment control. The current set total number of cover plate detection areas is 3. Taking the first quantity of 1 output from S41 and dividing it by the difference between the total number of areas and 1 (i.e., 3 minus 1 equals 2), the current correction coefficient for the folded center area is calculated to be 0.5. This fractional model constructs a linear mapping relationship ranging from 0 to 1. If the first quantity equals 2 (i.e., no linkage occurs in any area), the correction coefficient is 1, indicating that the distortion in the target area is a purely local isolated event; while when the first quantity is 1, the correction coefficient shrinks to 0.5, indicating that local deterioration has begun to spread outward. This correction coefficient provides a numerical basis that can directly reflect the overall structural collaborative health for subsequent dynamic adjustment of the detection baseline.

[0084] In S43, by generating a real-time distortion threshold, the limitation of traditional devices that cannot cope with complex coupled damage using a single fixed threshold is overcome. A new threshold is generated using a formula with damping compensation characteristics.

[0085] Specifically, based on the global damage co-evolution degree quantified by the preceding steps, the calculation expression for S43 is... It is responsible for converting data analysis results into production line intervention and control commands. In this expression, This represents the real-time distortion threshold for the i-th cover plate detection area; This represents the preset calibration distortion threshold for the i-th cover plate detection area; It is the current correction coefficient of the i-th cover plate detection area calculated in S42. Its value fluctuates between 0 and 1 and is used to characterize the degree of isolation of the current optical distortion anomalous behavior in this area. The method for determining the calibration distortion threshold is based on safety boundary extrapolation from historical factory inspection data of defect-free flexible cover plates under a limited number of extreme environmental pressures. Specifically, for example, 100 high-quality, qualified products confirmed to be free of microscopic interlayer delamination are selected and continuously run at the maximum design bending rate and extreme test temperature. The historical data set of optical distortion peak values ​​of these 100 qualified products before the plastic deformation critical point is recorded. The arithmetic mean of this set is calculated and multiplied by a safety reduction factor such as 0.85 to allow for equipment operation control redundancy, ultimately generating the static protection benchmark for each region. For example, historical critical point fatigue tests are performed on 100 qualified products, and the average deformation peak value of the folding center area before substantial damage is found to be 47.0 micrometers. This value is multiplied by a safety reduction factor of 0.85 and rounded to obtain 40.0 micrometers, which is then used as the preset fixed calibration distortion threshold for that region.

[0086] This linear adjustment process with a safety net is designed to overcome the technical deficiency of traditional static fixed thresholds, which cannot defend against structural collaborative failures. When optical distortion in one region causes high-intensity interconnected deterioration in multiple other regions, the current correction coefficient... It will gradually approach 0. If the original calibration threshold is maintained at this point, the best opportunity to intercept potential risks in the early stages will likely be missed. This formula splits the calibration threshold into two halves, with one half serving as an adjustment term that dynamically shrinks with the correction coefficient. The other half serves as a safety net constant to maintain the basic fault tolerance rate. .

[0087] For example, assume a calibration distortion threshold is set for the fold center region. The value is 40.0 micrometers. During a certain testing phase, it was assessed that the degradation in this region had triggered strong coupling over a wide area. The calculated current correction factor... The value is 0.5. Substituting these data into the expression, the real-time distortion threshold can be obtained. Micrometers. Through this calculation, the safety warning line for this region was lowered from 40.0 micrometers to 30.0 micrometers, allowing the early warning mechanism to be triggered when the optical distortion reaches 34.0 micrometers. Conversely, if the deformation in this region is entirely an isolated random perturbation ( If the threshold is 1, the real-time threshold remains at 40.0 micrometers; even in the most extreme case of strong coupling across the entire region ( (If the threshold is 0), the real-time threshold will also be controlled at 20.0 micrometers, instead of dropping to 0. This operational logic resolves the contradiction between sensitivity and stability in the early warning mode based on a fixed threshold. It achieves early intervention against global risks caused by continuous microscopic damage by dynamically shrinking the defense line, and prevents frequent unplanned equipment shutdowns that may be caused by excessively lowering the threshold by setting a safety margin of half the calibration value. Thus, it achieves a balance between production yield control and testing equipment operating efficiency at the algorithm level.

[0088] In S44, the final comparison and processing strategy is executed, solving the last link in the flow of detection data to industrial application decisions. The latest optical distortion value of the folding center area, transmitted from the optical sensor, is obtained at the current moment; for example, a value of 34.0 micrometers is read. In traditional static monitoring logic, 34.0 micrometers has not yet reached the calibration threshold of 40.0 micrometers and is therefore allowed by default, which easily misses the optimal intervention window during the microstructural crack initiation period. In this processing method, 34.0 micrometers is compared with the real-time distortion threshold of 30.0 micrometers calculated through dynamic shrinkage. Since the current value is greater than the real-time distortion threshold, a critical risk of interlayer correlation damage within the material is identified. Based on this determination, a targeted processing strategy is immediately triggered, such as issuing control commands to limit the movement speed of the folding mechanism or issuing a process accuracy calibration warning. This comparison mechanism transforms a series of complex front-end condition normalization and stress transmission calculations into concrete production line control actions, reducing the defect rate.

[0089] This invention also provides a data processing system for optical distortion detection of flexible cover plates for foldable screens. The system is used to implement a method for processing optical distortion detection data of flexible cover plates for foldable screens. The system includes:

[0090] The acquisition module is used to acquire the optical distortion data sequence of the previous detection time period of multiple cover plate detection areas, and simultaneously acquire the real-time bending angular velocity at the corresponding acquisition time point;

[0091] The first data processing module is used to normalize the optical distortion data sequence according to the real-time bending angular velocity, obtain the optical distortion gradient sequence, and obtain the structural stress yield period feature window of each cover plate detection area based on the optical distortion gradient sequence.

[0092] The second data processing module is used to perform reverse translation compensation on the time period of the structural stress yield period feature window of the i-th cover plate detection area and other cover plate detection areas based on the spatial straight-line distance between the i-th cover plate detection area and other cover plate detection areas and the internal stress wave transmission velocity constant, so as to obtain the time period to be processed after compensation; and to obtain the interlayer stress transmission coupling factor as the correlation coefficient based on the overlap ratio between the main time period of the structural stress yield period feature window of the i-th cover plate detection area and the time period to be processed after compensation.

[0093] The third data processing module is used to obtain the current correction coefficient of the i-th cover plate detection area based on the correlation coefficient, so as to generate a real-time distortion threshold, and to obtain a processing strategy based on the real-time distortion threshold and the optical distortion value at the current moment.

[0094] To further clarify the operating mechanism and physical quantification process of the technical solution of the present invention in actual industrial production lines, the following analysis will be conducted in detail on the underlying derivation logic of the optical distortion detection data processing method, using a high-frequency bending fatigue test scenario of a flexible folding screen cover containing specific physical parameters and test data.

[0095] Suppose that a certain testing system, when dynamically monitoring the same batch of polymer flexible cover plates, divides them into... One core cover plate detection area: folding center area ( ), left-side bend transition area ( ) and non-stressed edge flat area ( The time sampling period of the optical sensor is set to... During the initial testing period after the testing equipment starts, the system determines this to be the initial stage, automatically configuring these three regions into an independent initial state and locking the correction coefficients to [value missing]. And directly call their respective preset calibration distortion thresholds. Set the calibration distortion threshold for the fold center region. Calibration distortion threshold of the bending transition zone Simultaneously, the system pre-calibrated the internal stress wave propagation velocity constant of the polymer material of this type of cover plate through material tensile testing. Reference bending angular velocity constant It also records the physical spatial straight-line distance between the sensor in the folding center area and the sensor in the bending transition area. .

[0096] As the fatigue test progressed to the [number]th [period] of high-frequency alternating load [test]... During a detection period, the system acquired the folded center area ( The optical distortion data sequence within the previous detection time period. Within a certain segmented time window of this sequence, the system reads the first... Original optical distortion values ​​at each acquisition time point Subsequently in A sudden increase in raw optical distortion values ​​was detected at each acquisition time point. At this time, the real-time bending angular velocity executed by the folding drive mechanism is To eliminate the interference from the amplified instantaneous elastic deformation of the polymer material caused by excessively rapid folding, the system is substituted into the normalization formula. Perform the calculation. Substitute the corresponding data into the formula to obtain the fold center region in the [number]th [year]. Optical distortion gradient at each acquisition time point The system calculates and generates an optical distortion gradient sequence point by point according to this logic. It finds that although the original distortion difference fluctuates drastically due to the folding speed, the normalized gradient sequence shows continuous distortion. sampling points (i.e., time span) Always keep the positive sign inside () Thus, after eliminating kinematic interference, a continuous deterioration interval was accurately extracted.

[0097] The system then counts the number of data sampling points contained in the continuous deterioration intervals of each region. The system's preset number is set to... One. Folded central area ( The extracted continuous deterioration intervals include The number of data points exceeded the preset limit, therefore this continuous deterioration interval was officially configured as the structural stress yield period characteristic window of the fold center region, and its time period was taken as the main time period. Simultaneously, the bending transition region ( A gradient sequence containing [a specific element] was also extracted from it. The structural stress yield period feature window of each data point is used as the corresponding time period to be processed. The edge smoothing area ( Because it is not directly subjected to concentrated bending loads, its gradient sequence fluctuates randomly with alternating positive and negative values, and the largest continuous positive gradient only includes... The number of data points did not reach the preset quantity. Based on the judgment rules, the system configures the edge-flattened area as having "no structural stress yield period characteristic window" and forces the output of numerical values ​​for this area. As the current correction factor.

[0098] After defining the main time period and the time period to be processed, the system initiates an internal stress wave physical propagation delay compensation process to restore the absolute time axis of physical stress propagation within the micromaterial. This is specifically targeted at the folded center region (…). ) and the curved transition area of ​​the feature window ( Substituting the physical hysteresis time formula into the system Based on the input parameters of the test platform, the theoretical stress hysteresis time between the two was calculated. ,Right now The system then shifts the processing time period of the bend transition zone in the reverse direction on the time axis. The length of the time interval is used to generate the compensated time interval. This calculation step mathematically offsets the physical transmission delay consumed by the internal stress wave spreading from the fold center to the transition region, and realizes the time alignment of multi-region fatigue degradation characteristics at the stress initiation origin.

[0099] Next, the system quantitatively calculates the synergistic correlation degree of the optical distortion deterioration trend in multiple regions. (Folded central region) The total length of the main time period is The system compares the time period to be processed in the compensated bending transition zone with the main time period in the time domain, and extracts the length of the overlapping time period. Through division, the interlayer stress transmission coupling factor between the fold center region and the bending transition region is: The system will display the values. As the correlation coefficient between the two. For the edge smooth area ( Since it has been configured to not have a structural stress yield period characteristic window, the system directly determines the length of its corresponding overlapping time period based on the empty set processing mechanism. Thus, the correlation coefficient between the folded central area and the flattened edge area is calculated as follows: .

[0100] Based on the acquired correlation coefficient matrix, the system performs adaptive detection baseline reconstruction. The system sets a standard correlation threshold of [value missing]. In the folded central area ( The two correlation coefficients corresponding to the numerical values ​​are... With numerical values In the middle, the system determined that only the correlation coefficient was present. Below the standard association threshold Thus, the first quantity is obtained. Current total number of cover plate inspection areas The system will have the first quantity Divide by quantity The difference is The current correction factor of the fold center region is calculated. This coefficient, through numerical contraction, objectively characterizes how fatigue distortion in the fold center region has triggered coordinated deterioration in surrounding local areas. The system then substitutes the data into the real-time distortion threshold generation formula. Substitute the calibration value. With the current correction factor The real-time distortion threshold of the fold center region is: .

[0101] During the comparison and strategy response phase, the system's optical module acquires data from the folded central region ( The optical distortion value at the current moment is In static threshold mode, the numerical value Less than the calibrated distortion threshold The detection equipment will maintain a "test passed" status, which can easily mask the development of microstructural cracks. However, under the influence of this data processing method, the optical distortion value at the current moment... Greater than the real-time distortion threshold calculated by dynamic shrinkage And less than the calibrated distortion threshold After comparing the data, the system accurately identified the critical risk of interlayer material-related damage, triggering and executing a processing strategy that issued a process accuracy calibration warning and limited the movement speed of the folding mechanism. Through data flow calculations in this test scenario, it was demonstrated that this data processing method can adaptively defend against structural collaborative degradation failure by combining physical properties.

[0102] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0103] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0104] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

[0105] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A folding screen flexible cover plate optical distortion detection data processing method, characterized in that, The methods include: Acquire optical distortion data sequences for the previous detection time period of multiple cover plate detection areas, and simultaneously acquire the real-time bending angular velocity at the corresponding acquisition time point; Obtain the distortion difference between the next optical distortion value and the previous optical distortion value in the optical distortion data sequence. Divide the preset reference bending angular velocity constant by the real-time bending angular velocity at the current acquisition time point to obtain the angular velocity compensation ratio; multiply the distortion difference by the angular velocity compensation ratio to obtain the optical distortion gradient at the corresponding acquisition time point, thereby generating the optical distortion gradient sequence of each of the cover plate detection areas. And based on the optical distortion gradient sequence, the structural stress yield period feature window of each of the cover plate detection areas is obtained; Based on the spatial straight-line distance between the i-th cover plate detection area and other cover plate detection areas and the internal stress wave propagation velocity constant, the time period of the structural stress yield period characteristic window of other cover plate detection areas is reverse-shifted and compensated to obtain the time period to be processed after compensation. Obtain the overlap time period between the main time period of the structural stress yield period feature window of the i-th cover plate detection area and the compensated unprocessed time period of each cover plate detection area; divide the length of each overlap time period by the length of the main time period to obtain the interlayer stress transmission coupling factor, and use each of the interlayer stress transmission coupling factors as the correlation coefficient between the i-th cover plate detection area and other cover plate detection areas; wherein, for cover plate detection areas configured to not have a structural stress yield period feature window, the length of their corresponding overlap time period is determined to be zero. Iterate through the correlation coefficients between the i-th cover plate detection area and all other cover plate detection areas, obtain the number of correlation coefficients whose values ​​are lower than the standard correlation threshold, and use this number as the first number; The difference between the total number of cover plate detection areas and the value 1 is calculated, and the first number is divided by the difference to obtain the current correction coefficient of the i-th cover plate detection area, so as to generate a real-time distortion threshold, and a processing strategy is obtained based on the real-time distortion threshold and the optical distortion value at the current moment.

2. The folding screen flexible cover plate optical distortion detection data processing method according to claim 1, characterized in that, The step of obtaining the structural stress yield period feature window of each of the cover plate detection areas based on the optical distortion gradient sequence includes: Scan the optical distortion gradient sequence in chronological order, and combine two or more adjacent optical distortion gradients with positive signs to form a continuous deterioration interval. The number of data contained in each of the continuous deterioration intervals is counted, and the interval containing the most data and exceeding the preset number is used as the structural stress yield period feature window of the corresponding cover plate detection area.

3. The folding screen flexible cover plate optical distortion detection data processing method according to claim 2, characterized in that, Also includes: If the i-th cover plate detection area does not have a continuous deterioration interval, or if the number of data contained in any continuous deterioration interval of the i-th cover plate detection area does not exceed a preset number, then the i-th cover plate detection area is configured to not have a structural stress yield period feature window, and the value 1 is used as the current correction coefficient of the i-th cover plate detection area.

4. The folding screen flexible cover plate optical distortion detection data processing method according to claim 1, characterized in that, The method involves performing reverse translation compensation on the time periods of the structural stress yield period characteristic windows of the other cover plate detection areas based on the spatial straight-line distance between the i-th cover plate detection area and the other cover plate detection areas and the internal stress wave propagation velocity constant, to obtain the compensated time periods to be processed, including: The time periods of the structural stress yield period feature windows in each of the other cover plate detection areas are respectively taken as the corresponding time periods to be processed. The spatial straight-line distance between the sensor center point of each of the other cover plate detection areas and the sensor center point of the i-th cover plate detection area is divided by the internal stress wave propagation velocity constant to obtain the corresponding theoretical stress hysteresis time. The corresponding time period to be processed is shifted backward on the time axis by the length of the theoretical stress hysteresis time to generate the compensated time period to be processed for each cover plate detection area.

5. The folding screen flexible cover plate optical distortion detection data processing method according to claim 1, characterized in that, Before acquiring the optical distortion data sequence, the process also includes: Determine whether the current detection time period is the first detection time period; If it is the first detection time period, then each of the cover plate detection areas is configured to an initial independent state, the value 1 is used as the current correction coefficient for all cover plate detection areas, and the calibration distortion threshold pre-stored by the system is called as the processing strategy for the current moment.

6. The folding screen flexible cover plate optical distortion detection data processing method according to claim 1, characterized in that, Generating a real-time distortion threshold based on the current correction coefficient includes: The real-time distortion threshold of the i-th cover plate detection area is generated by multiplying half of the preset calibration distortion threshold of the i-th cover plate detection area by the current correction coefficient and adding the product to half of the calibration distortion threshold.

7. A folding screen flexible cover plate optical distortion detection data processing system, characterized in that, The system is used to implement the optical distortion detection data processing method for foldable screen flexible cover plates as described in any one of claims 1 to 6, and the system includes: The acquisition module is used to acquire the optical distortion data sequence of the previous detection time period of multiple cover plate detection areas, and simultaneously acquire the real-time bending angular velocity at the corresponding acquisition time point; The first data processing module is used to normalize the optical distortion data sequence according to the real-time bending angular velocity, obtain the optical distortion gradient sequence, and obtain the structural stress yield period feature window of each of the cover plate detection areas based on the optical distortion gradient sequence. The second data processing module is used to perform reverse translation compensation on the time period of the structural stress yield period feature window of the i-th cover plate detection area and other cover plate detection areas based on the spatial straight-line distance between the i-th cover plate detection area and other cover plate detection areas and the internal stress wave transmission velocity constant, so as to obtain the time period to be processed after compensation; and to obtain the interlayer stress transmission coupling factor as the correlation coefficient based on the overlap ratio between the main time period of the structural stress yield period feature window of the i-th cover plate detection area and the time period to be processed after compensation. The third data processing module is used to obtain the current correction coefficient of the i-th cover plate detection area according to the correlation coefficient, so as to generate a real-time distortion threshold, and obtain a processing strategy based on the real-time distortion threshold and the optical distortion value at the current moment.

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