A reliability test method and device for key glass

Abstract

The application provides a key glass reliability test method and device, comprising: setting single standard click working condition parameters and test click working condition parameters; under the single standard click working condition parameters, performing standard click on the key glass sample to obtain a reference characteristic parameter; under the test click working condition parameters, performing cycle click test on the key glass test piece according to the click standard to obtain a test characteristic parameter corresponding to the reference characteristic parameter; based on the test characteristic parameter, forming a current characteristic parameter sequence changing with the number of clicks to construct a degradation trend model describing the function relationship between the characteristic parameter and the number of clicks; and using the degradation trend model to determine the reliability life index of the key glass test piece in combination with the reference characteristic parameter. Through the test characteristic parameter, the degradation trend model changing with the number of clicks is constructed, so that the predictable evaluation of the touch performance and touch feeling recession of the key glass is realized.

Description

Technical Field

[0001] This invention relates to the field of electronic product reliability testing and touch signal analysis technology, and in particular to a method and apparatus for reliability testing of keypad glass. Background Technology

[0002] With the widespread adoption of smartphones, tablets, in-vehicle central control systems, human-machine interface terminals, and industrial control equipment, capacitive touch buttons and glass button covers are widely used in various touch display modules. Compared to traditional physical mechanical buttons, glass buttons offer advantages such as integrated appearance, high aesthetics, strong waterproof and dustproof capabilities, high reliability, and ease of cleaning, thus gradually becoming an important development direction for full-screen display modules and touch panels. To provide a tactile experience similar to mechanical buttons while ensuring full-screen display, existing technologies have proposed various glass structure solutions with tactile buttons. For example, tactile feedback can be achieved through raised glass button layers, optical adhesive bonding processes, and corresponding sensor settings; or through technologies such as integrated vibration actuators and 3D button contour molding to achieve a virtual button tactile experience. These solutions mainly focus on structural design, chemical strengthening processes, optical adhesive parameter optimization, touch IC and driver circuit design, and glass 3D molding to improve tactile feel and display effects.

[0003] Although existing technologies have made progress in glass button structure design and tactile feedback devices, they have significant shortcomings in reliability testing and life prediction: (1) Limitations in reliability testing methods: Existing standards in the field of touch screens and capacitive touch, such as the IEC 62908 series, focus more on static touch performance, anti-interference ability and environmental adaptability testing, such as temperature and humidity cycling, vibration and HALT tests. They lack targeted quantitative evaluation methods for the degradation law of touch response of tactile glass buttons under long-term click conditions. (2) Lack of testing methods and indicators: Existing click life tests mostly use mechanical fingers or pins to repeatedly click, and only count the results of "whether it can be triggered" and "whether it is physically damaged". They cannot characterize the gradual degradation characteristics of the touch response waveform within the life cycle, such as the drift law of parameters such as peak value of capacitive response curve, rise time, trigger delay and noise level. (3) Lack of quantitative evaluation system: A quantitative evaluation index system based on the multi-dimensional characteristics of capacitive touch signal curves, such as peak value, rise time, trigger delay, noise ratio and waveform distortion, has not yet been formed. It is impossible to establish an objective and unified evaluation standard for subjective experiences such as "deterioration of touch feel" and "slower response". (4) Lack of correlation with failure precursors: There is a lack of reliability testing and life prediction methods that correlate the evolution trend of touch response curve characteristics with failure precursors of button glass, such as insufficient rebound, microcracks and unstable touch. It is difficult to achieve quantitative characterization of performance degradation and touch feel decay.

[0004] In summary, there is an urgent need for a test method for cyclic click conditions of glass structures with tactile buttons. By collecting and analyzing the characteristics of touch response curves, a quantitative evaluation of performance degradation, touch sensitivity decay, and reliability lifespan can be achieved to make up for the shortcomings of current reliability evaluation methods. Summary of the Invention

[0005] This invention provides a reliability testing method and apparatus for keypad glass, which can quantitatively characterize the performance degradation process of keypad glass throughout its entire life cycle.

[0006] In a first aspect, the present invention provides a reliability testing method for keypad glass, comprising: In response to a test request, set the parameters for a single standard click and the parameters for a test click. Under the single standard click condition parameters, at least one standard click is performed on the button glass sample according to the preset click standard to obtain the baseline feature parameters; Under the test click conditions, the button glass test piece is subjected to a cyclic click test according to the click standard to obtain the test feature parameters corresponding to the benchmark feature parameters. Based on the test feature parameters, a current feature parameter sequence that changes with the number of clicks is formed to construct a degradation trend model describing the functional relationship between feature parameters and the number of clicks; Using the degradation trend model and the benchmark characteristic parameters, the reliability life index of the button glass test piece is determined.

[0007] Optionally, under the single standard click condition parameters, at least one standard click is performed on the button glass sample according to a preset click standard to obtain the baseline feature parameters, including: Under the standard click condition, the actuator is driven to click once, and the original baseline touch response curve is collected. The original reference touch response curve is denoised and normalized to generate a reference touch response curve; The benchmark feature parameters are extracted from the benchmark touch response curve.

[0008] Optionally, under the test click condition parameters, a cyclic click test is performed on the button glass test piece according to the click standard to obtain test feature parameters corresponding to the benchmark feature parameters, including: Under the test click conditions, a cyclic click test is performed on the button glass test piece according to the click standard to generate multiple test touch response curves; Extract the test feature parameters corresponding to the benchmark feature parameters from the test touch response curve.

[0009] Optionally, both the baseline feature parameters and the test feature parameters include peak amplitude and trigger delay; based on the test feature parameters, a current feature parameter sequence that changes with the number of clicks is formed to construct a degradation trend model describing the functional relationship between the feature parameters and the number of clicks, including: Based on the test feature parameters, a current feature parameter sequence that changes with the number of clicks is formed; Using the number of clicks as the independent variable, and the test peak amplitude and test trigger delay in the test feature parameters as the dependent variables, a decay model describing the decrease of the peak amplitude with the number of clicks and a delay growth model describing the increase of the trigger delay with the number of clicks are obtained through a curve fitting algorithm. The degradation trend model is composed of the decay model and the delayed growth model.

[0010] Optionally, the test feature parameters further include: waveform distortion coefficient; and extracting test feature parameters corresponding to the benchmark feature parameters from the test touch response curve, including: Calculate the difference between the test touch response curve and the benchmark touch response curve at the corresponding time point for the current click; Based on the statistical and / or integral values ​​of the difference, the waveform distortion coefficient, which characterizes the degree of deviation between the test touch response curve and the reference touch response curve, is calculated.

[0011] Optionally, the reliability life index of the button glass test piece is determined using the degradation trend model and the benchmark characteristic parameters, including: Determine whether the attenuation ratio of the test peak amplitude relative to the reference peak amplitude of the reference characteristic parameter exceeds a preset peak amplitude threshold at the current number of clicks; if so, determine that the button glass test piece has reached a failure state, and record the current number of clicks as the reliability life index. Determine whether the growth rate of the test trigger delay relative to the baseline trigger delay of the baseline characteristic parameter exceeds a preset trigger delay threshold under the current number of clicks; if so, determine that the button glass test piece has reached a failure state, and record the current number of clicks as the reliability life index. Determine whether the waveform distortion coefficient exceeds a preset distortion coefficient threshold at the current number of clicks; if so, determine that the button glass test piece has reached a failure state, and record the current number of clicks as the reliability life index.

[0012] Optionally, after performing a cyclic click test on the button glass test piece according to the click standard under the test click condition parameters to generate multiple test touch response curves, the method further includes: Simultaneously collect pressure-time curves and displacement-time curves during each click process; After determining the reliability life index of the button glass test piece using the degradation trend model and the benchmark characteristic parameters, the process further includes: The reliability life index of the button glass test piece is verified using the pressure-time curve and the displacement-time curve.

[0013] Optionally, the reliability life index of the key glass test piece is verified using the pressure-time curve and the displacement-time curve, including: From the displacement-time curve, extract the maximum deformation of the button glass test piece during the click process, and / or the rebound time required for the button glass test piece to rebound from the release point to near the initial position; Based on the pressure-time curve and the displacement-time curve, construct the force-displacement relationship curve and calculate the corresponding hysteresis area; The reliability lifetime index is verified by comparing at least one of the maximum deformation, the rebound time, and the hysteresis area with a preset corresponding threshold.

[0014] Secondly, the present invention provides a button glass reliability click testing device, comprising: The parameter setting module is used to set the parameters for a single standard click and the parameters for a test click in response to a test request. The baseline feature parameter determination module is used to perform at least one standard click on the button glass sample according to the preset click standard under the single standard click condition parameters to obtain the baseline feature parameters. The test feature parameter determination module is used to perform a cyclic click test on the button glass test piece according to the click standard under the test click condition parameters, and obtain the test feature parameters corresponding to the benchmark feature parameters. The degradation trend model generation module is used to generate a current feature parameter sequence that changes with the number of clicks based on the test feature parameters, so as to construct a degradation trend model that describes the functional relationship between the feature parameters and the number of clicks; The reliability life index determination module is used to determine the reliability life index of the button glass test component by using the degradation trend model and combining the benchmark characteristic parameters.

[0015] Thirdly, the present invention provides an electronic device including a processor and a memory, the memory storing computer-readable instructions that, when executed by the processor, perform the steps of the method provided in the first aspect above.

[0016] Fourthly, the present invention provides a storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps of the method provided in the first aspect above.

[0017] Fifthly, the present invention provides a computer program product comprising a computer program that, when executed by a processor, performs the steps of the method provided in the first aspect above.

[0018] As can be seen from the above technical solutions, the present invention has the following advantages: This invention provides a reliability testing method and apparatus for keypad glass, comprising: responding to a test request, setting single-click condition parameters and test click condition parameters; under the single-click condition parameters, performing at least one standard click on a keypad glass sample according to a preset click standard to obtain baseline characteristic parameters; under the test click condition parameters, performing a cyclic click test on the keypad glass test piece according to the click standard to obtain test characteristic parameters corresponding to the baseline characteristic parameters; based on the test characteristic parameters, forming a current characteristic parameter sequence that changes with the number of clicks to construct a degradation trend model describing the functional relationship between the characteristic parameters and the number of clicks; using the degradation trend model, combined with the baseline characteristic parameters, determining the reliability life index of the keypad glass test piece. By constructing a degradation trend model that changes with the number of clicks through the test characteristic parameters, a predictable evaluation of the touch performance and tactile degradation of keypad glass can be achieved, overcoming the lack of a systematic reliability testing method for tactile keypad glass in the prior art, and improving the level of product design verification and quality control. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the first embodiment of a reliability testing method for button glass according to the present invention. Figure 2 This is a flowchart illustrating the second embodiment of a reliability testing method for button glass according to the present invention. Figure 3 This is a schematic diagram of the structure of a reliability testing device for button glass, according to a second embodiment of the reliability testing method for button glass of the present invention. Figure 4 This is a structural block diagram of an embodiment of a reliability testing device for button glass according to the present invention. Detailed Implementation

[0021] This invention provides a reliability testing method and apparatus for keypad glass, which can quantitatively characterize the performance degradation process of keypad glass throughout its entire life cycle.

[0022] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0023] Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating the steps of a reliability testing method for button glass according to an embodiment of the present invention. The method includes: Step S101: In response to the test request, set the single standard click condition parameters and the test click condition parameters; In this embodiment, the single standard click condition parameters include click pressure, click frequency, click travel, and signal sampling frequency, which are intended to provide stable and repeatable triggering conditions for subsequent feature extraction; the test click condition parameters further set the target click pressure, click frequency, total number of clicks, etc., to define the stress level and duration of the reliability test.

[0024] Step S102: Under the single standard click working condition parameters, perform at least one standard click on the button glass sample according to the preset click standard to obtain the benchmark feature parameters; In this embodiment, one or more standard click operations are performed on the button glass sample according to pre-defined standard click conditions. By collecting the touch response signal generated during the click process, a set of benchmark characteristic parameters characterizing its initial performance state are extracted. These parameters typically include key indicators such as the peak amplitude of the touch signal, trigger delay, rise time, and noise ratio, providing a comparison benchmark and quantitative starting point for subsequent performance degradation evaluation.

[0025] Step S103: Under the test click condition parameters, perform a cyclic click test on the button glass test piece according to the click standard to obtain the test feature parameters corresponding to the benchmark feature parameters; In this embodiment, the button glass test piece is subjected to continuous and repetitive cyclic clicking according to the set test condition parameters. During each click, touch response signals are synchronously acquired, and a set of test feature parameters are calculated in real time using the same preprocessing and feature extraction process as in step S102. These parameters correspond completely to the baseline feature parameters in terms of type and definition, thereby forming a series of performance observations that evolve over time (number of clicks), providing a data sequence for subsequent degradation analysis.

[0026] Step S104: Based on the test feature parameters, form a current feature parameter sequence that changes with the number of clicks, so as to construct a degradation trend model describing the functional relationship between feature parameters and the number of clicks; In this embodiment, the test feature parameters extracted from each click are arranged in the order of clicks to form a feature parameter sequence. Then, through data fitting methods, such as curve fitting or regression analysis, a mathematical model describing the change of each feature parameter with the number of clicks is established, namely a degradation trend model, to quantitatively characterize the rate and pattern of performance index decay or deterioration, such as the peak value decaying exponentially with the number of clicks and the trigger delay increasing linearly, thereby realizing a quantitative description of the performance degradation process.

[0027] Step S105: Using the degradation trend model and the benchmark characteristic parameters, determine the reliability life index of the button glass test piece.

[0028] In this embodiment, the prediction results of the degradation trend model are compared with pre-set failure criteria. When the degradation trend model prediction or actual data meets the failure criteria, the corresponding number of clicks is determined as the reliability life index of the button glass test piece.

[0029] This invention provides a reliability testing method for keypad glass. In response to a test request, it sets single-click condition parameters and test click condition parameters. Under the single-click condition parameters, it performs at least one standard click on a keypad glass sample according to a preset click standard to obtain baseline characteristic parameters. Under the test click condition parameters, it performs a cyclic click test on the keypad glass test piece according to the click standard to obtain test characteristic parameters corresponding to the baseline characteristic parameters. Based on the test characteristic parameters, it forms a current characteristic parameter sequence that changes with the number of clicks to construct a degradation trend model describing the functional relationship between the characteristic parameters and the number of clicks. Using the degradation trend model, combined with the baseline characteristic parameters, it determines the reliability life index of the keypad glass test piece. By constructing a degradation trend model that changes with the number of clicks using the test characteristic parameters, it achieves predictable evaluation of the touch performance and tactile degradation of keypad glass, overcoming the lack of a systematic reliability testing method for tactile keypad glass in the prior art, and improving product design verification and quality control levels.

[0030] Example 2 Please see Figure 2 , Figure 2 This is a flowchart illustrating a second embodiment of the reliability testing method for button glass according to the present invention. The steps include: Step S201: In response to the test request, set the single standard click condition parameters and the test click condition parameters; The test method in this embodiment is based on, for example... Figure 3 The device shown is a reliability testing device for key glass. The device includes: a clamping mechanism 1, comprising an adjustable support platform 11 and a positioning fixture 12 for clamping the edge of the test piece, used to fix and align the key area of ​​the key glass test piece 9 under test; a loading actuator 2, comprising a drive motor, a transmission assembly, and a bionic soft loading head 21, wherein the drive motor drives the bionic loading head to reciprocate linearly in a direction perpendicular to the surface of the key glass test piece 9 via the transmission assembly; a force sensor 3, disposed between the bionic soft loading head 21 and the transmission assembly of the loading actuator, used to detect the loading force during the clicking process; a displacement sensor 4, used to detect the displacement of the bionic loading head; a touch response signal acquisition module 5, having an interface connected to the touch circuit of the key glass test piece under test, used to acquire the touch response electrical signal during the clicking process; and a data processing and control unit 6, electrically connected to the drive motor, force sensor, displacement sensor, and touch response signal acquisition module of the loading actuator, used to coordinate and control the operation of each component and process the acquired data.

[0031] The clamping mechanism includes a multi-dimensionally adjustable support platform and a positioning fixture for clamping the edge of the test piece. The support platform is used to align the key area under test with the bionic loading head. The displacement sensor can be a grating ruler or a laser displacement meter, with its detection end pointing towards the bionic loading head; or the displacement of the bionic loading head can be indirectly obtained by detecting the rotation angle of the drive motor.

[0032] Through the parameter setting interface built into the data processing and control unit 6, the operator inputs the parameters for a single standard click condition and the parameters for a cyclic test click condition. Simultaneously, a touch trigger threshold is set for subsequent trigger delay calculations. After all parameters are saved, the data processing and control unit 6 sends them to the loading actuator 2, force sensor 3, displacement sensor 4, and touch response signal acquisition module 5, providing a unified and repeatable control benchmark for subsequent test execution.

[0033] The set test parameters include: click pressure, click frequency, click travel, total number of clicks, sampling frequency, and touch trigger threshold. Click pressure can be 0.3N–3N, click frequency can be 0.5Hz–5Hz, click travel can be 0.1mm–1.5mm, sampling frequency can be 100Hz–5kHz, and the total number of clicks can be 10. 4 -10 6 Second-rate.

[0034] In addition, in order to calculate dynamic characteristics such as rise time, the acquisition module in this embodiment samples the touch output at a higher frequency, such as 1kHz; while the controller's external reporting rate can be referenced at 100Hz.

[0035] Step S202: Drive the actuator to click once under the standard click condition and collect the original reference touch response curve; In this embodiment, the drive motor of the loading actuator 2 is controlled to drive the bionic soft loading head 21 to perform a standard click action. Simultaneously, the touch response signal acquisition module 5 acquires the original capacitance response signal within this click cycle from the touch circuit of the tested button glass test piece 9. At the same time, the force sensor 3 records the loading force curve in real time, and the displacement sensor 4 records the displacement curve of the bionic soft loading head 21.

[0036] Step S203: Denoise and normalize the original reference touch response curve to generate a reference touch response curve; In this embodiment, the data processing and control unit 6 preprocesses the raw signal acquired by the touch response signal acquisition module 5. First, it performs low-pass filtering to remove noise, then subtracts the baseline average value before the click to eliminate DC bias, and finally performs amplitude normalization and time start alignment to obtain the preprocessed reference touch response curve.

[0037] Step S204: Extract the reference feature parameters from the reference touch response curve; This step is performed by the feature extraction module in the data processing and control unit 6, which integrates peak detection, threshold comparison, noise statistics and waveform analysis algorithms.

[0038] In this embodiment, the data processing and control unit 6 extracts a set of reference characteristic parameters from the preprocessed reference curve, including: peak amplitude, rise time, trigger delay, noise ratio, and waveform distortion coefficient; their formulas are as follows: ; ; ; ; ; in, This represents the peak amplitude (baseline value). As a reference touch response curve, The rise time is the baseline value for the time required for the touch response signal to rise from 10% to 90% of its peak value. For time, The trigger time (baseline value) is the time elapsed from the start of the click action until the touch response signal first reaches or exceeds the preset trigger threshold. To preset the trigger threshold, The signal-to-noise ratio (SNR) is the ratio of the noise standard deviation of the baseline curve in the stable segment (usually before the click) to the peak signal. The standard deviation of the signal fluctuation of the baseline curve during the stable segment (non-click period) is used to quantify the background noise level. For a single click cycle, , This is the waveform distortion coefficient (reference value). The preset ideal reference waveform.

[0039] Step S205: Under the test click condition parameters, perform a cyclic click test on the button glass test piece according to the click standard to generate multiple test touch response curves; In this embodiment, the data processing and control unit 6 controls the loading execution mechanism 2 to perform cyclic clicking on the button glass test piece 9 fixed to the clamping mechanism 1 according to the set test click condition parameters. During each click, the bionic soft loading head 21 performs the clicking action, and at the same time, the touch response signal acquisition module 5 synchronously acquires the touch response curve at the sampling frequency. All data is stored in the data storage unit 7 in real time.

[0040] In the specific implementation, the button glass test piece 9 is installed on the clamping mechanism 1, and the posture is adjusted by the adjustable support platform 11 and the positioning fixture 12 so that the target button area is aligned with the center of the bionic loading head 21; at the same time, the FPC interface of the button glass test piece 9 is connected to the touch response signal acquisition module 5 to complete the data link verification.

[0041] Step S206: Synchronously collect the pressure-time curve and displacement-time curve during each click process; In this embodiment, during each click cycle, the force sensor 3 integrated on the loading actuator 2 collects the loading force curve in real time, and the displacement sensor 4 collects the displacement curve of the bionic soft loading head 21 in real time. The data processing and control unit 6 synchronously samples the outputs of the touch response signal acquisition module 5, the force sensor 3, and the displacement sensor 4 to ensure that the touch signal, force signal, and displacement signal are accurately aligned through a unified timestamp.

[0042] Step S207: Extract test feature parameters corresponding to the reference feature parameters from the test touch response curve; both the reference feature parameters and the test feature parameters include peak amplitude, trigger delay, and waveform distortion coefficient. In this embodiment of the application, the difference between the test touch response curve and the reference touch response curve at the corresponding time point of the current click is calculated; based on the statistical quantity and / or integral value of the difference, the waveform distortion coefficient characterizing the degree of deviation between the test touch response curve and the reference touch response curve is calculated.

[0043] In the specific implementation, the data processing and control unit 6 performs preprocessing on each acquired test touch response curve in the same manner as the benchmark, and extracts the corresponding test feature parameters, including peak amplitude, trigger delay and waveform distortion coefficient.

[0044] Step S208: Based on the test feature parameters, form a current feature parameter sequence that changes with the number of clicks, so as to construct a degradation trend model describing the functional relationship between feature parameters and the number of clicks; In this embodiment of the application, a current feature parameter sequence that changes with the number of clicks is formed based on the test feature parameters; with the number of clicks as the independent variable, and the test peak amplitude and test trigger delay in the test feature parameters as dependent variables, a decay model describing the decay of the peak amplitude with the number of clicks and a delay growth model describing the increase of the trigger delay with the number of clicks are obtained through a curve fitting algorithm; the decay model and the delay growth model constitute the degradation trend model.

[0045] In the specific implementation, the data processing and control unit 6 arranges the extracted test feature parameters according to the click order, forming a feature parameter sequence, such as a peak sequence, a delay sequence, and a distortion sequence. Subsequently, a curve fitting algorithm is used to construct a trend model describing the degradation of features with the number of clicks, such as a peak decay model, a delay growth model, and a distortion growth model, whose formulas are as follows: ; ; ; in, , , , , , These are the parameters of the degradation model obtained through fitting.

[0046] Step S209: Using the degradation trend model and the benchmark characteristic parameters, determine the reliability life index of the button glass test piece; In this embodiment, it is determined whether the attenuation ratio of the test peak amplitude relative to the reference peak amplitude of the reference characteristic parameter exceeds a preset peak amplitude threshold at the current number of clicks; if so, the button glass test piece is determined to have reached a failure state, and the current number of clicks is recorded as the reliability lifetime index; it is also determined whether the increase ratio of the test trigger delay relative to the reference trigger delay of the reference characteristic parameter exceeds a preset trigger delay threshold at the current number of clicks; if so, the button glass test piece is determined to have reached a failure state, and the current number of clicks is recorded as the reliability lifetime index; finally, it is determined whether the waveform distortion coefficient exceeds a preset distortion coefficient threshold at the current number of clicks; if so, the button glass test piece is determined to have reached a failure state, and the current number of clicks is recorded as the reliability lifetime index.

[0047] In its implementation, the data processing and control unit 6 determines failure based on preset failure criteria, including peak capacitance attenuation criteria, delay growth criteria, and distortion criteria. If the peak capacitance attenuation exceeds a preset peak amplitude threshold, the formula is as follows: ; in, The peak amplitude threshold; Or, the growth rate of the baseline trigger delay exceeds the preset trigger delay threshold, expressed by the following formula: ; in, The trigger delay threshold; Or the waveform distortion coefficient exceeds the preset distortion coefficient threshold, expressed by the formula: ; in, This is the distortion coefficient threshold.

[0048] The corresponding number of clicks is recorded as the reliability lifetime index. Visualization unit 8 displays the feature degradation trajectory and criterion trigger points in real time.

[0049] Step S210: Use the pressure-time curve and the displacement-time curve to verify the reliability life index of the button glass test piece. In this embodiment, the maximum deformation of the button glass test piece during the clicking process and / or the rebound time required for the button glass test piece to rebound from the release point to near the initial position are extracted from the displacement-time curve; a force-displacement relationship curve is constructed based on the pressure-time curve and the displacement-time curve, and the corresponding hysteresis area is calculated; at least one of the maximum deformation, the rebound time, and the hysteresis area is compared with a preset corresponding threshold to verify the reliability life index.

[0050] The formula for the maximum deformation is expressed as: ; The formula for rebound time is: ; The formula for the hysteresis area is expressed as: ; in, To test the maximum displacement during the click process. For the largest variable, To approach the threshold of the initial position, For rebound time, The force-displacement relationship curve, For displacement, The area under the force-displacement hysteresis curve.

[0051] The data processing and control unit 6 further utilizes the synchronous data collected by the force sensor 3 and displacement sensor 4 to extract the maximum deformation and rebound time from the displacement curve. Based on the pressure-time curve and displacement-time curve, a force-displacement hysteresis curve is plotted, and the hysteresis area is calculated. These tactile and structural physical quantities are compared with preset thresholds to assist in the verification and comprehensive confirmation of the reliability and life indicators obtained in step S209. Finally, the data processing and control unit 6 generates a complete test report and archives all data and results through the data storage unit 7. The report includes at least: test parameters, baseline curve, feature degradation curve, failure criterion trigger point, life indicators, and failure precursor warning information; simultaneously, the original curve data, feature data, and model parameters are stored in the data storage unit 7 for subsequent design optimization and quality traceability.

[0052] In a preferred embodiment, the button glass reliability click test method of the present invention can also introduce feature aggregation analysis of multiple click intervals, that is, to average or trend fit the feature parameters within a certain click interval, such as calculating the average peak value, average delay, etc. within the interval, so as to enhance the sensitivity to long-term slow degradation.

[0053] In another preferred embodiment, the present invention can construct a feature vector from multidimensional feature parameters and use principal component analysis, cluster analysis or machine learning methods to classify and grade the degradation state, so as to realize the graded evaluation of button glass from "normal", "slight degradation", "moderate degradation" to "severe degradation / failure".

[0054] This invention provides a reliability testing method for keypad glass. In response to a test request, it sets single-click condition parameters and test click condition parameters. Under the single-click condition parameters, it performs at least one standard click on a keypad glass sample according to a preset click standard to obtain baseline characteristic parameters. Under the test click condition parameters, it performs a cyclic click test on the keypad glass test piece according to the click standard to obtain test characteristic parameters corresponding to the baseline characteristic parameters. Based on the test characteristic parameters, it forms a current characteristic parameter sequence that changes with the number of clicks to construct a degradation trend model describing the functional relationship between the characteristic parameters and the number of clicks. Using the degradation trend model, combined with the baseline characteristic parameters, it determines the reliability lifespan index of the keypad glass test piece. By simultaneously acquiring touch, force, and displacement signals, extracting multi-dimensional features, and establishing a degradation trend model, it achieves a refined quantitative evaluation of keypad glass touch sensitivity decay, response delay increase, and waveform distortion. Its threshold and trend-based lifespan determination mechanism can identify early signs of performance degradation, significantly improving the objectivity, predictability, and quality control capabilities of reliability testing.

[0055] To facilitate those skilled in the art to understand the beneficial effects of the present invention, an example of a reliability testing method for button glass according to the present invention is provided below.

[0056] To illustrate the implementation process and technical effects of the method of the present invention, this section takes the testing of a button glass sample as an example to demonstrate the complete process from initial testing to life determination.

[0057] (1) Experiment initialization and parameter setting The test parameters for this example are set as follows: click pressure 250gf, click frequency 10Hz, click stroke 0.5mm, and total number of clicks set to 10. 7 The touch signal sampling frequency is 1kHz. The touch trigger threshold is set to the baseline average value plus 30 count units. The loading head uses a biomimetic pen tip made of POM material with a diameter of 5.0mm.

[0058] (2) Feature extraction of benchmark click In the initial stage of the experiment (near the 0th click), a standard click was performed to collect raw touch response data. The first 10ms before the click was taken as the baseline, and its average signal value was: ; The data for clicking the key points of the response are shown in the table below: ; Therefore, we can conclude that: Peak amplitude: ; Peak increment: ; Rise time: Signal from 10% threshold ( ), rising to the 90% threshold ( The time frame can be approximated from the table: reaching 10%: approximately at Reaching 90%: approximately ,Right now: ; Trigger delay: Set trigger threshold The signal reaches 1060 at 8ms, exceeding the threshold, therefore... ; Noise ratio: Baseline standard deviation: , ; Waveform distortion coefficient: The reference distortion is usually defined as the difference relative to the "ideal template" or relative to the "first piece reference"; the reference itself can be denoted as 0 or a minimum value. In this example, it is used to compare subsequent degradation, so it can be taken as: .

[0059] (3) Characteristic evolution in durability testing After approximately 5,000,000 clicks, touch response data for a single click was collected under the same test conditions. The baseline average value at this point is: Key data points are as follows:

[0060] Extract the test feature parameters at this time: Peak amplitude: ; Peak increment: ; Rise time: Signal from 10% threshold ( ), rising to the 90% threshold ( The time can be approximated from the table: approximately at Reaching 90%: approximately ,Right now: ; Trigger delay: Set trigger threshold The signal reached its peak at 8ms, exceeding the threshold. ; Noise ratio: Baseline standard deviation: , ; Waveform distortion coefficient: The reference distortion is usually defined as the difference relative to the "ideal template" or relative to the "first piece reference"; the reference itself can be denoted as 0 or a minimum value. In this example, it is used to compare subsequent degradation, so it can be taken as: .

[0061] Waveform distortion coefficients (discrete integral relative to the reference curve, example approximated using key points): ; The differences between each item are: 5, 4, 20, 25, 33, 42, 46, 46, resulting in: .

[0062] (4) Degradation modeling and lifetime determination The aforementioned characteristic parameters are used as a function of click count to construct a degradation trajectory, which is then fitted or statistically analyzed. Failure criteria are then set, and reliability is determined. The button glass is deemed to have entered a failure or severe degradation state if any of the following criteria—peak decay, delay growth, distortion, or noise—is met. The number of clicks that first meet any failure criterion is used as the reliability lifetime index for that button glass test piece. When multiple samples are tested simultaneously, the lifetime distribution can be statistically analyzed based on multiple click counts and used for batch quality comparison and supplier evaluation.

[0063] (5) Degradation rate and lifespan criterion Define peak attenuation rate and noise growth rate: ; .

[0064] like <0.7 (peak value drops by more than 30%), indicating "significant degradation in touch response"; or if >2.5 (noise ratio increases by more than 2.5 times), indicating "insufficient signal stability"; or if (Distortion exceeding the threshold) is judged as "significant waveform change".

[0065] In this example, , Therefore, it can be concluded that the sample met the degradation criterion at approximately 5,000,000 clicks, and the warning lifetime point can be recorded as approximately 5,000,000 clicks.

[0066] Example 3 Please see Figure 4 , Figure 4 This is a structural block diagram of an embodiment of a reliability testing device for button glass according to the present invention. The device includes: The parameter setting module 301 is used to set the single standard click condition parameters and the test click condition parameters in response to the test request. The baseline feature parameter determination module 302 is used to perform at least one standard click on the button glass sample according to the preset click standard under the single standard click condition parameters to obtain the baseline feature parameters; The test feature parameter determination module 303 is used to perform a cyclic click test on the button glass test piece according to the click standard under the test click condition parameters, and obtain the test feature parameters corresponding to the benchmark feature parameters. The degradation trend model generation module 304 is used to form a current feature parameter sequence that changes with the number of clicks based on the test feature parameters, so as to construct a degradation trend model that describes the functional relationship between the feature parameters and the number of clicks; The reliability life index determination module 305 is used to determine the reliability life index of the button glass test piece by using the degradation trend model and combining the benchmark characteristic parameters.

[0067] In an optional embodiment, the reference feature parameter determination module 302 includes: The original baseline curve acquisition submodule is used to drive the actuator to click once under the standard click condition and acquire the original baseline touch response curve. The reference curve generation submodule is used to perform noise reduction and normalization processing on the original reference touch response curve to generate a reference touch response curve. The reference parameter extraction submodule is used to extract the reference feature parameters from the reference touch response curve.

[0068] In an optional embodiment, the test feature parameter determination module 303 includes: The testing submodule is used to perform a cyclic click test on the button glass test piece according to the click standard under the test click condition parameters, and generate multiple test touch response curves. The test parameter extraction submodule is used to extract test feature parameters corresponding to the benchmark feature parameters from the test touch response curve.

[0069] In an optional embodiment, both the baseline feature parameters and the test feature parameters include peak amplitude and trigger delay; the degradation trend model generation module 304 includes: The sequence construction submodule is used to form a current feature parameter sequence that changes with the number of clicks based on the test feature parameters; The submodule is used to construct a submodule that takes the number of clicks as the independent variable and the test peak amplitude and test trigger delay in the test feature parameters as the dependent variables, respectively, and obtains a decay model describing the decay of the peak amplitude as the number of clicks and a delay growth model describing the increase of the trigger delay as the number of clicks through a curve fitting algorithm. The model generation submodule is used to compose the degradation trend model from the decay model and the delayed growth model.

[0070] In an optional embodiment, the test feature parameters further include: waveform distortion coefficients; the test parameter extraction submodule includes: The difference calculation unit is used to calculate the difference between the test touch response curve and the reference touch response curve at the corresponding time point for the current click. The waveform distortion coefficient calculation unit is used to calculate the waveform distortion coefficient, which characterizes the degree of deviation between the test touch response curve and the reference touch response curve, based on the statistical quantity and / or integral value of the difference.

[0071] In an optional embodiment, the reliability lifetime index determination module 305 includes: The first judgment submodule is used to determine whether the attenuation ratio of the test peak amplitude relative to the reference peak amplitude of the reference feature parameter exceeds a preset peak amplitude threshold under the current number of clicks; if so, it is determined that the button glass test piece has reached a failure state, and the current number of clicks is recorded as the reliability life index. The second judgment submodule is used to determine whether the growth ratio of the test trigger delay relative to the baseline trigger delay of the baseline feature parameter exceeds a preset trigger delay threshold under the current number of clicks; if so, it is determined that the button glass test piece has reached a failure state, and the current number of clicks is recorded as the reliability life index. The third judgment submodule is used to determine whether the waveform distortion coefficient exceeds a preset distortion coefficient threshold under the current number of clicks; if so, it is determined that the button glass test piece has reached a failure state, and the current number of clicks is recorded as the reliability life index.

[0072] In an optional embodiment, the test feature parameter determination module 303 further includes: The synchronous acquisition submodule is used to synchronously acquire the pressure-time curve and displacement-time curve during each click process; The device also includes: The verification module is used to verify the reliability life index of the button glass test piece using the pressure-time curve and the displacement-time curve.

[0073] In an optional embodiment, the verification module includes: The maximum deformation and rebound time determination submodule is used to extract the maximum deformation of the button glass test piece during the click process and / or the rebound time required for the button glass test piece to rebound from the release point to near the initial position from the displacement-time curve. The hysteresis area calculation submodule is used to construct a force-displacement relationship curve based on the pressure-time curve and the displacement-time curve, and to calculate the corresponding hysteresis area. The verification submodule is used to compare at least one of the maximum deformation, the rebound time, and the hysteresis area with a preset corresponding threshold to verify the reliability lifetime index.

[0074] Example 4 This invention also provides an electronic device, including a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of a button glass reliability click test method according to any embodiment.

[0075] Example 5

[0076] This invention also provides a computer storage medium storing a computer program thereon, wherein the computer program, when executed by the processor, implements the steps of a button glass reliability click test method according to any embodiment.

[0077] Example 6

[0078] This invention also provides a computer program product having a computer program stored thereon, wherein when the computer program is executed by the processor, it implements the steps of a button glass reliability click test method according to any embodiment.

[0079] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0080] In the several embodiments provided in this application, it should be understood that the methods, apparatuses, electronic devices, and storage media disclosed in this invention can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0081] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0082] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0083] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0084] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. 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 of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A reliability testing method for button glass, characterized in that, include: In response to a test request, set the parameters for a single standard click and the parameters for a test click. Under the single standard click condition parameters, at least one standard click is performed on the button glass sample according to the preset click standard to obtain the baseline feature parameters; Under the test click conditions, the button glass test piece is subjected to a cyclic click test according to the click standard to obtain the test feature parameters corresponding to the benchmark feature parameters. Both the benchmark characteristic parameters and the test characteristic parameters include peak amplitude and trigger delay; The The test characteristic parameters also include: waveform distortion coefficient; Based on the test feature parameters, a current feature parameter sequence that changes with the number of clicks is formed to construct a degradation trend model describing the functional relationship between feature parameters and the number of clicks; Using the degradation trend model and the benchmark characteristic parameters, the reliability life index of the button glass test piece is determined. Under the single standard click condition parameters, at least one standard click is performed on the button glass sample according to the preset click standard to obtain the baseline feature parameters, including: Under the standard click condition, the actuator is driven to click once, and the original baseline touch response curve is collected. The original reference touch response curve is denoised and normalized to generate a reference touch response curve; Extract the benchmark feature parameters from the benchmark touch response curve; Under the test click conditions, a cyclic click test is performed on the button glass test piece according to the click standard to obtain test feature parameters corresponding to the benchmark feature parameters, including: Under the test click conditions, a cyclic click test is performed on the button glass test piece according to the click standard to generate multiple test touch response curves; Extract the test feature parameters corresponding to the benchmark feature parameters from the test touch response curve; Based on the test feature parameters, a current feature parameter sequence that changes with the number of clicks is formed to construct a degradation trend model describing the functional relationship between the feature parameters and the number of clicks, including: Based on the test feature parameters, a current feature parameter sequence that changes with the number of clicks is formed; Using the number of clicks as the independent variable, and the test peak amplitude and test trigger delay in the test feature parameters as the dependent variables, a decay model describing the decrease of the peak amplitude with the number of clicks and a delay growth model describing the increase of the trigger delay with the number of clicks are obtained through a curve fitting algorithm. The degradation trend model is composed of the decay model and the delayed growth model; From the test touch response curve, extract the test feature parameters corresponding to the benchmark feature parameters, including: Calculate the difference between the test touch response curve and the benchmark touch response curve at the corresponding time point for the current click; Based on the statistical and / or integral values ​​of the difference, the waveform distortion coefficient, which characterizes the degree of deviation between the test touch response curve and the reference touch response curve, is calculated.

2. The reliability testing method for button glass according to claim 1, characterized in that, Using the degradation trend model and the benchmark characteristic parameters, the reliability life index of the button glass test component is determined, including: Determine whether the attenuation ratio of the test peak amplitude relative to the reference peak amplitude of the reference characteristic parameter exceeds a preset peak amplitude threshold at the current number of clicks; if so, determine that the button glass test piece has reached a failure state, and record the current number of clicks as the reliability life index. Determine whether the growth rate of the test trigger delay relative to the baseline trigger delay of the baseline characteristic parameter exceeds a preset trigger delay threshold under the current number of clicks; if so, determine that the button glass test piece has reached a failure state, and record the current number of clicks as the reliability life index. Determine whether the waveform distortion coefficient exceeds a preset distortion coefficient threshold at the current number of clicks; if so, determine that the button glass test piece has reached a failure state, and record the current number of clicks as the reliability life index.

3. The reliability testing method for button glass according to claim 2, characterized in that, Under the aforementioned test click parameters, after performing a cyclic click test on the button glass test piece according to the aforementioned click standard to generate multiple test touch response curves, the process further includes: Simultaneously collect pressure-time curves and displacement-time curves during each click process; After determining the reliability life index of the button glass test piece using the degradation trend model and the benchmark characteristic parameters, the process further includes: The reliability life index of the button glass test piece is verified using the pressure-time curve and the displacement-time curve.

4. The reliability testing method for button glass according to claim 3, characterized in that, The reliability life index of the key glass test piece is verified using the pressure-time curve and the displacement-time curve, including: From the displacement-time curve, extract the maximum deformation of the button glass test piece during the click process, and / or the rebound time required for the button glass test piece to rebound from the release point to near the initial position; Based on the pressure-time curve and the displacement-time curve, construct the force-displacement relationship curve and calculate the corresponding hysteresis area; The reliability lifetime index is verified by comparing at least one of the maximum deformation, the rebound time, and the hysteresis area with a preset corresponding threshold.

5. A button glass reliability click test device, characterized in that, The device includes: The parameter setting module is used to set the parameters for a single standard click and the parameters for a test click in response to a test request. The baseline feature parameter determination module is used to perform at least one standard click on the button glass sample according to the preset click standard under the single standard click condition parameters to obtain the baseline feature parameters. The test feature parameter determination module is used to perform a cyclic click test on the button glass test piece according to the click standard under the test click condition parameters, and obtain the test feature parameters corresponding to the benchmark feature parameters. The degradation trend model generation module is used to generate a current feature parameter sequence that changes with the number of clicks based on the test feature parameters, so as to construct a degradation trend model that describes the functional relationship between the feature parameters and the number of clicks; The reliability life index determination module is used to determine the reliability life index of the button glass test piece by using the degradation trend model and combining the benchmark characteristic parameters. The benchmark feature parameter determination module includes: The original baseline curve acquisition submodule is used to drive the actuator to click once under the standard click condition and acquire the original baseline touch response curve. The reference curve generation submodule is used to perform noise reduction and normalization processing on the original reference touch response curve to generate a reference touch response curve. The reference parameter extraction submodule is used to extract the reference feature parameters from the reference touch response curve; The test feature parameter determination module includes: The testing submodule is used to perform a cyclic click test on the button glass test piece according to the click standard under the test click condition parameters, and generate multiple test touch response curves. The test parameter extraction submodule is used to extract test feature parameters corresponding to the benchmark feature parameters from the test touch response curve; Both the baseline feature parameters and the test feature parameters include peak amplitude and trigger delay; the degradation trend model generation module includes: The sequence construction submodule is used to form a current feature parameter sequence that changes with the number of clicks based on the test feature parameters; The submodule is used to construct a submodule that takes the number of clicks as the independent variable and the test peak amplitude and test trigger delay in the test feature parameters as the dependent variables, respectively, and obtains a decay model describing the decay of the peak amplitude as the number of clicks and a delay growth model describing the increase of the trigger delay as the number of clicks through a curve fitting algorithm. A model generation submodule is used to compose the degradation trend model from the decay model and the delayed growth model; The test feature parameters also include: waveform distortion coefficient; the test parameter extraction submodule includes: The difference calculation unit is used to calculate the difference between the test touch response curve and the reference touch response curve at the corresponding time point for the current click. The waveform distortion coefficient calculation unit is used to calculate the waveform distortion coefficient, which characterizes the degree of deviation between the test touch response curve and the reference touch response curve, based on the statistical quantity and / or integral value of the difference.

6. An electronic device, characterized in that, It includes a processor and a memory, the memory storing computer-readable instructions that, when executed by the processor, perform the method as described in any one of claims 1-4.

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