Method and system for detecting a folding device pivot based on dual-band microscopic structured light

Abstract

This invention belongs to the field of electronic technology, specifically relating to a detection method and system for the hinge of a folding device based on dual-band microscopic structured light. By initializing and calibrating the dual-band microscopic projection system, point cloud data from different angles is collected and fused onto the hinge of the folding phone under test, effectively eliminating single-view occlusion. Furthermore, by reconstructing and compensating for the structural information within the blind zone of the hinge, the completeness, comprehensiveness, and accuracy of the detection data are improved. Temperature drift correction processing of the hinge height measurement data solves the problem of measurement drift caused by changes in ambient temperature. Accurate assessment of the hinge wear state is achieved by calculating the hinge wear amount, thereby accurately predicting the remaining lifespan of the folding phone hinge and providing a scientific basis for preventative maintenance and replacement, ultimately improving equipment reliability.

Description

Technical Field

[0001] This invention belongs to the field of electronic technology, specifically relating to a method and system for detecting the rotating shaft of a folding device based on dual-band microstructured light. Background Technology

[0002] In the quality control and performance evaluation system of folding devices, hinge inspection is a crucial step. As the core component enabling the opening and closing function of folding devices, the performance of the hinge directly affects the overall reliability, service life, and user experience of the device. Traditionally, the inspection of folding device hinges mainly relies on the measurement and analysis of their area and standard values. The degree of change in the hinge area is used to indirectly assess the crease condition of the folding device, thus serving as an important basis for judging the hinge performance and the folding status of the device.

[0003] Currently, the inspection of hinges in folding devices also has certain limitations. Specifically, traditional folding inspection methods determine the degree of hinge area change by measuring the hinge area and its standard value, thereby reflecting the macroscopic changes on the device surface. However, this method cannot deeply obtain three-dimensional wear morphology information at the internal and microscopic levels of the hinge, making it difficult to meet the requirements of precision inspection and accurate prediction of hinge life. In microscale inspection scenarios, the accuracy of existing calibration methods is severely degraded, and because the calibration ball size is greater than 0.2 mm, it is difficult to achieve high-precision system calibration during microscopic inspection, resulting in large errors in the subsequently acquired inspection data and affecting the accuracy of the inspection results. Some existing technologies use a fixed three-angle scanning method to collect dynamic data. This acquisition method cannot comprehensively and continuously obtain the morphological information of the hinge in different opening and closing states, which can easily lead to the omission of key wear details, limiting the completeness and accuracy of the inspection results. Existing technologies usually do not consider the impact of temperature changes on the measurement results during the measurement process. The drift problem caused by thermal expansion is quite prominent, with temperature drift errors generally reaching ±0.015 mm, which greatly reduces the reliability and stability of the inspection data under different ambient temperatures. Summary of the Invention

[0004] This invention provides a method and system for detecting the hinge of a folding device based on dual-band microstructured light. By initializing and calibrating the dual-band microscopic projection system, point cloud data from different angles is collected and fused onto the hinge of the folding phone under test, effectively eliminating single-view occlusion. Furthermore, by reconstructing and compensating for the structural information within the blind zone of the hinge, the completeness, comprehensiveness, and accuracy of the detection data are improved. Temperature drift correction processing of the hinge height measurement data solves the problem of measurement drift caused by changes in ambient temperature. Accurate assessment of the hinge wear state is achieved by calculating the hinge wear amount, allowing for accurate prediction of the remaining lifespan of the folding phone hinge. This provides a scientific basis for preventative maintenance and replacement of the equipment, thereby improving equipment reliability.

[0005] A method for detecting the rotating shaft of a folding device based on dual-band microstructured light includes:

[0006] A nano-reference calibration module is placed on a vacuum adsorption platform, a dual-band micro-projection system is started, and a dynamic acquisition mechanism is used to perform synchronous scanning to complete the initial reference calibration.

[0007] The hinge of the folding phone to be tested is placed on a vacuum adsorption platform. The hinge of the folding phone is controlled to continuously open and close around the hinge. The dual-band microscopic projection system is started and the dynamic acquisition mechanism is used to scan synchronously. The original point cloud data of the hinge area of ​​the folding phone is dynamically acquired and the point cloud data from different angles is fused to generate the initial fused point cloud data.

[0008] Blind spot compensation processing is performed on the original point cloud data to reconstruct the structural information within the blind spot of the current foldable phone hinge, obtain the compensated point cloud data, and fuse it with the initial fused point cloud data to generate complete point cloud data;

[0009] Based on complete point cloud data, the measured value of the hinge height of the current folding phone is subjected to temperature drift correction to obtain the corrected hinge height data of the current folding phone. Combined with the initial height data of the hinge and the wear coefficient, the hinge wear of the current folding phone is calculated.

[0010] Based on the wear amount and wear coefficient of the current folding phone hinge, combined with a preset failure threshold, the remaining lifespan of the current folding phone hinge is predicted.

[0011] By initializing and calibrating the dual-band microscopic projection system, and then collecting and fusing point cloud data from different angles on the hinge of the folding phone under test, single-view occlusion is effectively eliminated. Furthermore, by reconstructing and compensating for the structural information within the blind zone of the current folding phone hinge, the integrity, comprehensiveness, and accuracy of the detection data are improved. Temperature drift correction processing of the hinge height measurement data solves the problem of measurement drift caused by changes in ambient temperature. By calculating the hinge wear, an accurate assessment of the hinge wear state is achieved, enabling accurate prediction of the remaining lifespan of the current folding phone hinge. This provides a scientific basis for preventative maintenance and replacement of the equipment, thereby improving equipment reliability.

[0012] Furthermore, the step of placing a nano-reference calibration module on a vacuum adsorption platform, activating a dual-band microscopic projection system, and simultaneously scanning using a dynamic acquisition mechanism to complete the initial reference calibration includes:

[0013] A nano-reference calibration module is installed on a vacuum adsorption platform; the nano-reference calibration module includes calibration spheres arranged in an array.

[0014] The blue light projection module and infrared projection module of the dual-band microscopic projection system are activated to project phase-shifted fringes and Gray code patterns onto the arrayed calibration spheres, respectively. The dynamic acquisition mechanism is used to acquire the deformed fringe patterns modulated by the calibration sphere surface at different angles.

[0015] Based on the deformed stripe image, a calibration algorithm is called for image processing, and a nonlinear optimization algorithm is used to calculate parameters and camera distortion coefficients;

[0016] Complete the initial baseline calibration.

[0017] By performing initial benchmark calibration, high-precision, nonlinear calibration of the dual-band microscopic projection system can be achieved, thereby providing an accurate spatial benchmark for subsequent testing of the hinge of foldable mobile phones, eliminating systematic errors, and ensuring the accuracy of subsequent measurement data.

[0018] Furthermore, the process involves placing the hinge of the folding phone to be tested on a vacuum adsorption platform, controlling the hinge to continuously open and close around the hinge, activating a dual-band microscopic projection system and using a dynamic acquisition mechanism for synchronous scanning, dynamically acquiring the original point cloud data of the hinge area, and fusing point cloud data from different angles to generate initial fused point cloud data, including:

[0019] Place the hinge of the folding phone to be tested on the vacuum adsorption platform, and drive the hinge of the current folding phone to perform continuous and uniform opening and closing motion around the hinge.

[0020] The blue light projection module and infrared projection module of the dual-band microscopic projection system are activated to project phase-shifting stripes and Gray code patterns onto the hinge of the folding phone, respectively. The dynamic acquisition mechanism collects raw point cloud data at different angles. The raw point cloud data includes raw blue light point cloud data and raw infrared point cloud data.

[0021] By introducing a density compensation function and an angle weighting factor, a continuous angle point cloud fusion algorithm is used to unify the preprocessed original point cloud data at different angles into the same coordinate system, generate an initial three-dimensional topography point cloud model, and obtain the initial fused point cloud data.

[0022] The expression for the initial fused point cloud data is:

[0023] ;

[0024] In the formula, This represents the initial fused point cloud data; This represents the point cloud density compensation function; Indicates the angle weighting factor; Indicates the angle of acquisition; Indicates the minimum acquisition angle; This indicates the maximum acquisition angle.

[0025] By driving the hinge of the foldable phone to perform continuous and uniform opening and closing movements around the hinge, point cloud data from different angles can be dynamically collected, which can obtain rich and continuous hinge topography data, thereby improving the completeness and accuracy of the detection results. At the same time, by fusing the original point cloud data from different angles and introducing a density compensation function and an angle weighting factor, single-angle occlusion can be effectively eliminated and the contribution of data under different angles can be optimized, generating highly complete, highly consistent, and initial fused point cloud data, thus providing a data foundation for subsequent analysis.

[0026] Furthermore, the blind spot compensation processing of the original point cloud data reconstructs the structural information within the blind spot of the current folding phone hinge, obtaining compensated point cloud data, which is then fused with the initial fused point cloud data to generate complete point cloud data, including:

[0027] The propagation path of infrared light emitted by the infrared projection module of a simulated dual-band microscopic projection system in a pre-established rotating shaft structure model;

[0028] Based on the pre-established optical property model, the energy attenuation of infrared light when penetrating each layer of material of the current foldable phone hinge is calculated. Based on the calculated energy attenuation, the structural information in the blind zone of the current foldable phone hinge is reconstructed to obtain the compensation point cloud data of the blind zone.

[0029] The formula for calculating the energy attenuation of infrared light as it penetrates the various layers of material on the hinge of the current folding phone is as follows:

[0030] ;

[0031] In the formula, Indicates the intensity of the emitted light; Indicates the intensity of the incident light; Indicates the first The absorption coefficient of the layer material; Indicates the first The thickness of the layer material; Indicates the number of material layers. , Indicates the total number of material layers;

[0032] The compensated point cloud data and the initial fused point cloud data are merged to generate complete point cloud data.

[0033] Furthermore, the hinge structure model is established using CAD software by acquiring the geometric structure parameters, material properties, and layering relationships of the hinge of the current folding phone. The geometric structure parameters include the dimensional parameters of the thickness, width, and length of each layer of the hinge. The material properties include the physical properties of the refractive index, absorption coefficient, and thermal expansion coefficient of the materials of each layer of the hinge. The layering relationships represent the connection sequence of each layer of the hinge and the connection method between each layer.

[0034] The optical property model is constructed by experimentally obtaining the reflectivity, transmittance, and absorption coefficient of different material surfaces for specific wavelengths of light; the specific wavelength of light includes blue light emitted by the blue light projection module and infrared light emitted by the infrared projection module.

[0035] Furthermore, based on complete point cloud data, the measured value of the current folding phone hinge height data is subjected to temperature drift correction processing to obtain the corrected current folding phone hinge height data. Combined with the initial height data of the current folding phone hinge and the wear coefficient, the hinge wear amount of the current folding phone hinge is calculated, including:

[0036] Based on complete point cloud data and combined with the thermal expansion characteristics of the current folding phone hinge material, the measured value of the current folding phone hinge height data is subjected to temperature drift correction processing to obtain the corrected current folding phone hinge height data;

[0037] The expression for the corrected current hinge height data of the folding phone is:

[0038] ;

[0039] In the formula, This indicates the corrected hinge height data for the current folding phone; This represents the measured value of the hinge height of the current foldable phone. This indicates the coefficient of thermal expansion of the hinge material in current foldable phones; This indicates the ambient temperature during the actual test;

[0040] Based on the corrected current hinge height data of the folding phone, combined with the initial hinge height data and wear coefficient of the current folding phone, the hinge wear of the current folding phone is calculated using the temperature-compensated wear model;

[0041] The expression for the temperature-compensated wear model is:

[0042] ;

[0043] In the formula, This indicates the initial height of the hinge of the foldable phone. Indicates the wear coefficient; This represents the number of times the valves open and close.

[0044] By performing temperature drift correction on the measured hinge height data, the problem of measurement drift caused by changes in ambient temperature can be solved. Furthermore, by calculating the hinge wear, an accurate assessment of the hinge wear condition can be achieved, providing a data basis for accurately predicting the remaining lifespan of the hinge of a current foldable phone.

[0045] Furthermore, the remaining lifespan of the current folding phone hinge is characterized by the remaining number of opening and closing cycles, and its calculation expression is as follows:

[0046] ;

[0047] In the formula, This represents the predicted number of remaining opening and closing cycles. Indicates the failure threshold of the shaft; Indicates the wear coefficient; This indicates the corrected amount of wear.

[0048] A system for detecting the rotating shaft of a folding device based on dual-band microstructured light includes:

[0049] The hinge of the foldable phone to be tested;

[0050] A dual-band microscopic projection system includes a blue light projection module and an infrared projection module; the blue light projection module is used to generate phase-shifting fringes; the infrared projection module is used to generate Gray codes.

[0051] A nanometer-based calibration module, comprising an array of calibration spheres;

[0052] The dynamic acquisition mechanism includes a high-speed camera for dynamically acquiring raw point cloud data of the hinge area of ​​the folding phone at different angles.

[0053] The data processing module is used to process and calculate the collected raw point cloud data to obtain the complete point cloud data of the current folding phone hinge, the amount of hinge wear, and the remaining lifespan.

[0054] Furthermore, the wavelength range of the light emitted by the blue light projection module is 450±2nm, and the output light power range is 105±2mW.

[0055] The infrared projection module emits light with a wavelength range of 940±5nm and an output light power range of 84±1mW.

[0056] The output light power ratio of the blue light projection module and the infrared projection module is 1.25:1.

[0057] Screen interference is suppressed by adjusting the output light power of the blue light projection module and the infrared projection module.

[0058] Furthermore, the scanning angle range of the dynamic acquisition mechanism is 0~180°, the scanning angular velocity is 5° / s, and the scanning angular velocity error is 0.1°.

[0059] The beneficial effects of this invention are as follows:

[0060] This invention achieves initial benchmark calibration of a dual-band microscopic projection system, followed by point cloud data acquisition and fusion from different angles of the hinge of the folding phone under test. This effectively eliminates single-view occlusion and improves the integrity, comprehensiveness, and accuracy of the detection data by reconstructing and compensating for structural information within the blind zone of the hinge. Temperature drift correction processing of the hinge height measurement data solves the problem of measurement drift caused by changes in ambient temperature. Accurate assessment of the hinge wear state is achieved by calculating the hinge wear amount, allowing for accurate prediction of the remaining lifespan of the folding phone hinge. This provides a scientific basis for preventative maintenance and replacement, thereby improving equipment reliability. Furthermore, this invention can adapt to complex industrial environments, meet production line testing needs, and overcome the limitations of existing technologies in industrial applications. Attached Figure Description

[0061] Figure 1 This is a flowchart of the present invention;

[0062] Figure 2 This is a schematic diagram of the system structure of the present invention;

[0063] Figure 3 This is a schematic diagram of the hinge structure of the folding phone under test.

[0064] Figure label:

[0065] 1. OLED screen; 2. OCA adhesive layer; 3. Metal hinge; 4. PI-FPC back panel. Detailed Implementation

[0066] 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0067] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this disclosure, those skilled in the art will understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using other structures and / or functionalities besides one or more of the aspects set forth herein.

[0068] In addition, specific details are provided in the following description to facilitate a thorough understanding of the examples, and those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0069] Example 1

[0070] Figure 1 This paper presents a detection method for the hinge of a folding device based on dual-band microstructured light. The method involves initializing and calibrating the dual-band microscopic projection system, then collecting and fusing point cloud data from different angles of the hinge to be tested. This effectively eliminates single-view occlusion. Furthermore, by reconstructing and compensating for the structural information within the blind zone of the hinge, the completeness, comprehensiveness, and accuracy of the detection data are improved. Temperature drift correction processing of the hinge height measurement data solves the problem of measurement drift caused by changes in ambient temperature. Finally, by calculating the hinge wear, an accurate assessment of the hinge wear state is achieved, allowing for accurate prediction of the remaining lifespan of the folding phone hinge. This provides a scientific basis for preventative maintenance and replacement, thereby improving equipment reliability. The specific steps include the following:

[0071] S1: Place the nano-reference calibration module on the vacuum adsorption platform, start the dual-band micro-projection system and use the dynamic acquisition mechanism to perform synchronous scanning to complete the initial reference calibration.

[0072] S11: Install the nano-reference calibration module on the vacuum adsorption platform; the nano-reference calibration module includes calibration spheres arranged in an array;

[0073] S12: Activate the blue light projection module and infrared projection module of the dual-band microscopic projection system to project phase-shifted fringes and Gray code patterns onto the arrayed calibration spheres, respectively, and use the dynamic acquisition mechanism to acquire the deformed fringe patterns modulated by the calibration sphere surface at different angles.

[0074] S13: Based on the deformed stripe image, the calibration algorithm is called for image processing, and a nonlinear optimization algorithm is used to calculate the parameters and camera distortion coefficients;

[0075] S14: Complete initialization benchmark calibration.

[0076] In practical applications, the initial benchmark calibration takes less than 15 seconds and achieves a calibration accuracy of RMSE=0.0011mm. By performing the initial benchmark calibration, high-precision, nonlinear calibration of the dual-band microscopic projection system can be achieved, thus providing an accurate spatial benchmark for the subsequent detection of the hinge of foldable mobile phones, eliminating systematic errors, and ensuring the accuracy of subsequent measurement data.

[0077] S2: Place the hinge of the folding phone to be tested on the vacuum adsorption platform, control the hinge of the current folding phone to continuously open and close around the hinge, start the dual-band micro-projection system and use the dynamic acquisition mechanism to scan synchronously, dynamically acquire the original point cloud data of the hinge area of ​​the current folding phone, and fuse the point cloud data from different angles to generate the initial fused point cloud data.

[0078] S21: Place the hinge of the folding phone to be tested on the vacuum adsorption platform and drive the hinge of the current folding phone to perform continuous and uniform opening and closing motion around the hinge.

[0079] S22: Activate the blue light projection module and infrared projection module of the dual-band microscopic projection system to project phase-shifting stripes and Gray code patterns onto the hinge of the current folding phone, respectively, and use the dynamic acquisition mechanism to collect raw point cloud data at different angles;

[0080] In this embodiment, the original point cloud data sampling points are 3600 points / revolution, that is, one acquisition is completed every 0.1° of revolution, thereby obtaining richer and more continuous rotation axis topography data, improving the completeness and accuracy of the detection results.

[0081] In this embodiment, the raw point cloud data includes raw blue light point cloud data and raw infrared point cloud data;

[0082] S23: Introduce density compensation function and angle weight factor, and use continuous angle point cloud fusion algorithm to unify the preprocessed original point cloud data under different angles into the same coordinate system to generate an initial three-dimensional topography point cloud model and obtain the initial fused point cloud data.

[0083] In this embodiment, the method for preprocessing the raw point cloud data includes removing noise points and outliers, as well as performing data smoothing.

[0084] The expression for the initial fused point cloud data is:

[0085] ;

[0086] In the formula, This represents the initial fused point cloud data; This represents the point cloud density compensation function; Indicates the angle weighting factor; Indicates the angle of acquisition; Indicates the minimum acquisition angle; This indicates the maximum acquisition angle.

[0087] By driving the hinge of the foldable phone to perform continuous and uniform opening and closing movements around the hinge, point cloud data from different angles can be dynamically collected, which can obtain rich and continuous hinge topography data, thereby improving the completeness and accuracy of the detection results. At the same time, by fusing the original point cloud data from different angles and introducing a density compensation function and an angle weighting factor, single-angle occlusion can be effectively eliminated and the contribution of data under different angles can be optimized, generating highly complete, highly consistent, and initial fused point cloud data, thus providing a data foundation for subsequent analysis.

[0088] S3: Perform blind spot compensation processing on the original point cloud data, reconstruct the structural information in the blind spot of the current folding phone hinge, obtain the compensated point cloud data, and fuse it with the initial fused point cloud data to generate complete point cloud data;

[0089] S31: The propagation path of infrared light emitted by the infrared projection module of the simulated dual-band microscopic projection system in the pre-established rotating shaft structure model;

[0090] The hinge structure model is created using CAD software by acquiring the geometric parameters, material properties, and layering relationships of the hinge of the current foldable phone. The geometric parameters include the thickness, width, and length of each layer of the hinge; the material properties include the refractive index, absorption coefficient, and thermal expansion coefficient of each layer; and the layering relationships represent the connection sequence and connection method between the layers.

[0091] S32: Based on the pre-established optical characteristic model, calculate the energy attenuation of infrared light when it penetrates each layer of material of the current folding phone hinge, and based on the calculated energy attenuation, reconstruct the structural information in the blind zone of the current folding phone hinge to obtain the compensation point cloud data of the blind zone.

[0092] The optical property model is constructed by experimentally obtaining the reflectivity, transmittance, and absorption coefficient of different material surfaces for specific wavelengths of light. The specific wavelengths of light include blue light emitted by the blue light projection module and infrared light emitted by the infrared projection module.

[0093] The formula for calculating the energy attenuation of infrared light as it penetrates the various layers of material on the hinge of a current foldable phone is as follows:

[0094] ;

[0095] In the formula, Indicates the intensity of the emitted light; Indicates the intensity of the incident light; Indicates the first The absorption coefficient of the layer material; Indicates the first The thickness of the layer material; Indicates the number of material layers. , Indicates the total number of material layers;

[0096] S33: Fuse the compensated point cloud data and the initial fused point cloud data to generate complete point cloud data.

[0097] In practical applications, the blind spot rate of the rotating shaft can be reduced from the existing 42% to 3.3%. By fusing and compensating point cloud data, the point cloud completion rate can reach 96.7%, thereby achieving compensation for the blind spot of the rotating shaft and thus fully reflecting the actual shape of the rotating shaft.

[0098] S4: Based on complete point cloud data, perform temperature drift correction on the measured value of the current folding phone hinge height data to obtain the corrected current folding phone hinge height data. Combine the initial height data of the current folding phone hinge and the wear coefficient to calculate the hinge wear of the current folding phone hinge.

[0099] S41: Based on complete point cloud data and combined with the thermal expansion characteristics of the current folding phone hinge material, perform temperature drift correction processing on the measured value of the current folding phone hinge height data to obtain the corrected current folding phone hinge height data;

[0100] The expression for the corrected current hinge height data of the folding phone is as follows:

[0101] ;

[0102] In the formula, This indicates the corrected hinge height data for the current folding phone; This represents the measured value of the hinge height of the current foldable phone. This indicates the coefficient of thermal expansion of the hinge material in current foldable phones; This indicates the ambient temperature during the actual test;

[0103] In practical applications, by performing temperature drift correction on the measured values ​​of the shaft height data, thermal drift suppression can be achieved to 0.001mm, thus solving the problem of measurement drift caused by changes in ambient temperature.

[0104] S42: Based on the corrected current hinge height data of the folding phone, combined with the initial hinge height data and wear coefficient of the current folding phone, the hinge wear of the current folding phone is calculated using the temperature-compensated wear model;

[0105] The expression for the temperature-compensated wear model is as follows:

[0106] ;

[0107] In the formula, This indicates the initial height of the hinge of the foldable phone. Indicates the wear coefficient; This represents the number of times the valves open and close.

[0108] In this embodiment, the wear coefficient is configured according to the material type; the wear coefficient for stainless steel is 3.0 × 10⁻⁶. -5 / time; the wear coefficient of liquid metal is 1.8×10 -5 / times. It should be noted that in practical applications, the appropriate wear coefficient should be selected based on the material used for the shaft.

[0109] S5: Based on the current wear amount and wear coefficient of the folding phone hinge, combined with the preset failure threshold, predict the remaining lifespan of the current folding phone hinge;

[0110] The remaining lifespan of the hinge in current foldable phones is characterized by the remaining number of opening and closing cycles, and its calculation formula is as follows:

[0111] ;

[0112] In the formula, This represents the predicted number of remaining opening and closing cycles. This indicates the failure threshold of the shaft, i.e., the maximum allowable wear. Indicates the wear coefficient; This indicates the corrected amount of wear.

[0113] Example 2

[0114] like Figure 2 As shown in the figure, this embodiment provides a system for detecting the hinge of a folding device based on dual-band microstructured light. By integrating the hinge of the folding phone under test, a dual-band microscopic projection system, a nanometer reference calibration module, a dynamic acquisition mechanism, and a data processing module, a closed-loop detection system is constructed to realize a fully automated process of high-precision calibration, dynamic point cloud data acquisition, point cloud data processing, hinge wear calculation, and remaining life prediction, ensuring the accuracy, reliability, and repeatability of the detection method.

[0115] Specifically, the hinge of the foldable phone to be tested;

[0116] In this embodiment, as Figure 3 As shown, the hinge of the foldable phone under test includes the top surface of the OLED screen 1, the OCA adhesive layer 2, the metal hinge 3, and the PI-FPC back panel 4 (blind area). The top surface of the OLED screen 1 is the visible area of ​​the hinge, used to collect raw blue light point cloud data under the blue light emitted by the blue light projection module; the OCA adhesive layer 2 is the obscured area, used to collect raw infrared light point cloud data under the infrared light transmitted by the infrared projection module; the upper surface of the metal hinge 3 is visible under the blue light emitted by the blue light projection module and its raw blue light point cloud data is collected, while the lower surface needs to collect raw infrared light point cloud data under the infrared light emitted by the infrared projection module; the PI-FPC back panel 4 (blind area) uses blind area compensation technology to reconstruct and compensate for the point cloud data.

[0117] Specifically, the dual-band microscopic projection system includes:

[0118] The blue light projection module is used to generate phase-shifted fringes, which are mainly projected onto the reflective surface of the metal. The wavelength range of the light emitted by the blue light projection module is 450±2nm, and the output light power range is 105±2mW.

[0119] The infrared projection module is used to generate Gray code and mainly penetrates the OLED stack-up. The wavelength range of the light emitted by the infrared projection module is 940±5nm, and the output light power range is 84±1mW.

[0120] In this embodiment, the output light power ratio of the blue light projection module and the infrared projection module is 1.25:1, which is used to suppress screen interference.

[0121] Specifically, the nanometer reference calibration module includes an array of calibration spheres. The diameter of each calibration sphere is 0.1 mm; multiple calibration spheres are arranged in a 3×3 array, and the spacing between adjacent calibration spheres is 0.3 mm.

[0122] Specifically, the dynamic acquisition mechanism includes a high-speed camera, which is used to dynamically acquire raw point cloud data of the hinge area of ​​the current folding phone at different angles.

[0123] In this embodiment, the scanning angle range of the dynamic acquisition mechanism is 0~180°, and the scanning angular velocity is controlled by the angular velocity control unit. The scanning angular velocity is 5° / s, and the scanning angular velocity error is 0.1°.

[0124] Specifically, the data processing module is used to process and calculate the collected raw point cloud data to obtain the complete point cloud data of the current folding phone hinge, the amount of hinge wear, and the remaining lifespan.

[0125] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0126] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for detecting the rotating shaft of a folding device based on dual-band microstructured light, characterized in that, include: A nano-reference calibration module is placed on a vacuum adsorption platform, a dual-band micro-projection system is started, and a dynamic acquisition mechanism is used to perform synchronous scanning to complete the initial reference calibration. The hinge of the folding phone to be tested is placed on a vacuum adsorption platform. The hinge of the folding phone is controlled to continuously open and close around the hinge. The dual-band microscopic projection system is started and the dynamic acquisition mechanism is used to scan synchronously. The original point cloud data of the hinge area of ​​the folding phone is dynamically acquired and the point cloud data from different angles is fused to generate the initial fused point cloud data. Blind spot compensation processing is performed on the original point cloud data to reconstruct the structural information within the blind spot of the current foldable phone hinge, obtain the compensated point cloud data, and fuse it with the initial fused point cloud data to generate complete point cloud data; Based on complete point cloud data, the measured value of the hinge height of the current folding phone is subjected to temperature drift correction to obtain the corrected hinge height data of the current folding phone. Combined with the initial height data of the hinge and the wear coefficient, the hinge wear of the current folding phone is calculated. Based on the wear amount and wear coefficient of the current folding phone hinge, combined with the preset failure threshold, the remaining lifespan of the current folding phone hinge is predicted. The process of performing blind spot compensation on the original point cloud data to reconstruct the structural information within the blind spot of the current folding phone hinge, obtaining compensated point cloud data, and fusing it with the initial fused point cloud data to generate complete point cloud data includes: The propagation path of infrared light emitted by the infrared projection module of a simulated dual-band microscopic projection system in a pre-established rotating shaft structure model; Based on the pre-established optical property model, the energy attenuation of infrared light when penetrating each layer of material of the current foldable phone hinge is calculated. Based on the calculated energy attenuation, the structural information in the blind zone of the current foldable phone hinge is reconstructed to obtain the compensation point cloud data of the blind zone. The formula for calculating the energy attenuation of infrared light as it penetrates the various layers of material on the hinge of the current folding phone is as follows: ； In the formula, Indicates the intensity of the emitted light; Indicates the intensity of the incident light; Indicates the first The absorption coefficient of the layer material; Indicates the first The thickness of the layer material; Indicates the number of material layers. , Indicates the total number of material layers; The compensated point cloud data and the initial fused point cloud data are merged to generate complete point cloud data; The method involves performing temperature drift correction on the measured height data of the current folding phone hinge based on complete point cloud data to obtain the corrected hinge height data. Then, combining the initial hinge height data and wear coefficient, the hinge wear amount is calculated, including: Based on complete point cloud data and combined with the thermal expansion characteristics of the current folding phone hinge material, the measured value of the current folding phone hinge height data is subjected to temperature drift correction processing to obtain the corrected current folding phone hinge height data; The expression for the corrected current hinge height data of the folding phone is: ； In the formula, This indicates the corrected hinge height data for the current folding phone; This represents the measured value of the hinge height of the current foldable phone. This indicates the coefficient of thermal expansion of the hinge material in current foldable phones; This indicates the ambient temperature during the actual test; Based on the corrected current hinge height data of the folding phone, combined with the initial hinge height data and wear coefficient of the current folding phone, the hinge wear of the current folding phone is calculated using the temperature-compensated wear model; The expression for the temperature-compensated wear model is: ； In the formula, This indicates the initial height of the hinge of the foldable phone. Indicates the wear coefficient; This represents the number of times the valves open and close.

2. The method for detecting the rotating shaft of a folding device based on dual-band microstructured light according to claim 1, characterized in that, The process of placing a nano-reference calibration module on a vacuum adsorption platform, activating a dual-band microscopic projection system, and using a dynamic acquisition mechanism for synchronous scanning to complete the initial reference calibration includes: A nano-reference calibration module is installed on a vacuum adsorption platform; the nano-reference calibration module includes calibration spheres arranged in an array. The blue light projection module and infrared projection module of the dual-band microscopic projection system are activated to project phase-shifted fringes and Gray code patterns onto the arrayed calibration spheres, respectively. The dynamic acquisition mechanism is used to acquire the deformed fringe patterns modulated by the calibration sphere surface at different angles. Based on the deformed stripe image, a calibration algorithm is called for image processing, and a nonlinear optimization algorithm is used to calculate parameters and camera distortion coefficients; Complete the initial baseline calibration.

3. The method for detecting the rotating shaft of a folding device based on dual-band microstructured light according to claim 1, characterized in that, The process involves placing the hinge of the folding phone to be tested on a vacuum adsorption platform, controlling the hinge to continuously open and close around the hinge, activating a dual-band microscopic projection system and using a dynamic acquisition mechanism for synchronous scanning, dynamically acquiring the original point cloud data of the hinge area, and fusing point cloud data from different angles to generate initial fused point cloud data, including: Place the hinge of the folding phone to be tested on the vacuum adsorption platform, and drive the hinge of the current folding phone to perform continuous and uniform opening and closing motion around the hinge. The blue light projection module and infrared projection module of the dual-band microscopic projection system are activated to project phase-shifting stripes and Gray code patterns onto the hinge of the folding phone, respectively. The dynamic acquisition mechanism collects raw point cloud data at different angles. The raw point cloud data includes raw blue light point cloud data and raw infrared point cloud data. By introducing a density compensation function and an angle weighting factor, a continuous angle point cloud fusion algorithm is used to unify the preprocessed original point cloud data at different angles into the same coordinate system, generate an initial three-dimensional topography point cloud model, and obtain the initial fused point cloud data. The expression for the initial fused point cloud data is: ； In the formula, This represents the initial fused point cloud data; This represents the point cloud density compensation function; Indicates the angle weighting factor; Indicates the angle of acquisition; Indicates the minimum acquisition angle; This indicates the maximum acquisition angle.

4. The method for detecting the rotating shaft of a folding device based on dual-band microstructured light according to claim 3, characterized in that, The hinge structure model is created using CAD software by acquiring the geometric parameters, material properties, and layering relationships of the hinge of the current foldable phone. The geometric parameters include the dimensional parameters of the thickness, width, and length of each layer of the hinge. The material properties include the physical characteristics of the refractive index, absorption coefficient, and thermal expansion coefficient of the materials in each layer of the hinge. The layering relationships represent the connection order and connection method between the layers of the hinge. The optical property model is constructed by experimentally obtaining the reflectivity, transmittance, and absorption coefficient of different material surfaces for specific wavelengths of light; the specific wavelength of light includes blue light emitted by the blue light projection module and infrared light emitted by the infrared projection module.

5. The method for detecting the rotating shaft of a folding device based on dual-band microstructured light according to claim 1, characterized in that, The remaining lifespan of the hinge of the current folding phone is characterized by the remaining number of opening and closing cycles, and its calculation expression is as follows: ； In the formula, This represents the predicted number of remaining opening and closing cycles. Indicates the failure threshold of the shaft; Indicates the wear coefficient; This indicates the corrected amount of wear.

6. A system for implementing the detection method of the rotating shaft of a folding device based on dual-band microstructured light as described in claim 1, characterized in that, include: The hinge of the foldable phone to be tested; A dual-band microscopic projection system, comprising a blue light projection module and an infrared projection module; The blue light projection module is used to generate phase-shifted fringes; The infrared projection module is used to generate Gray code; A nanometer-based calibration module, comprising an array of calibration spheres; The dynamic acquisition mechanism includes a high-speed camera for dynamically acquiring raw point cloud data of the hinge area of ​​the folding phone at different angles. The data processing module is used to process and calculate the collected raw point cloud data to obtain the complete point cloud data of the current folding phone hinge, the amount of hinge wear, and the remaining lifespan.

7. The system for detecting the rotating shaft of a folding device based on dual-band microstructured light according to claim 6, characterized in that, The blue light projection module emits light with a wavelength range of 450±2nm and an output light power range of 105±2mW. The infrared projection module emits light with a wavelength range of 940±5nm and an output light power range of 84±1mW. The output light power ratio of the blue light projection module and the infrared projection module is 1.25:

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8. The system for detecting the rotating shaft of a folding device based on dual-band microstructured light according to claim 6, characterized in that, The scanning angle range of the dynamic acquisition mechanism is 0~180°, the scanning angular velocity is 5° / s, and the scanning angular velocity error is 0.1°.

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