Glass key arching appearance structure processing control method and device

Abstract

The application discloses a processing control method and device for a glass key arching appearance structure. The processing control method for the glass key arching appearance structure comprises the following steps: obtaining a target height of a glass key of a glass substrate and target strengthening parameters of chemical strengthening; obtaining chemical parameters of a fused salt used in chemical strengthening of the glass substrate; calculating a corresponding back etching depth of the glass substrate according to the target height of the glass key; inputting the back etching depth, the chemical parameters of the fused salt and the target strengthening parameters of the chemical strengthening into a trained deep learning model to obtain a temperature-time strengthening control curve in the chemical strengthening of the glass substrate; and performing corresponding processing control on the processing of the glass substrate according to the back etching depth and the temperature-time strengthening control curve. The application can better control the processing of the glass key, so that the actual arching height of the processed glass key can easily reach the target arching height, and the processing efficiency of the glass key is significantly improved.

Description

Technical Field

[0001] This application relates to the technical field of glass button processing, and more specifically, to a processing control method and apparatus for the arched morphology structure of glass buttons. Background Technology

[0002] The arched shape structure of glass buttons is a locally convex arc / dome button area processed on a tempered glass substrate (usually high aluminosilicate glass). Unlike pure flat glass touch, it achieves press feedback through structural deformation and sensing.

[0003] In the processing of glass buttons, the arch height of the glass button's domed shape is a key parameter, significantly impacting the button's feel, user experience, structural strength, reliability, and other quality assessment factors. It is also a crucial factor determining the overall quality of the glass button processing. Currently, the processing control method for glass buttons is relatively simple, primarily relying on operators to control the two key processing steps of chemical etching and chemical strengthening based on the target arch height. However, this method heavily depends on the operator's experience, making it difficult to effectively control the processing. This often results in the actual arch height of the processed glass button falling short of the target arch height, leading to suboptimal processing quality. Operators need to repeatedly adjust the chemical etching and chemical strengthening steps until a satisfactory result is achieved. This significantly reduces processing efficiency, wastes considerable raw materials, and increases processing costs. Summary of the Invention

[0004] The purpose of this application is to provide a processing control method and device for the arched shape structure of glass buttons, which can better control the processing of glass buttons, making it easier for the actual arch height of the processed glass buttons to reach the target arch height, significantly improving the processing efficiency of glass buttons, reducing the waste of processing materials, and effectively reducing the processing cost of glass buttons.

[0005] To achieve the above objectives, in a first aspect, this application provides a method for controlling the processing of the arched morphology structure of glass buttons, comprising: Obtain the target height of the glass keypad on the glass substrate and the target strengthening parameters for chemical strengthening; Obtain the chemical parameters of the molten salt used in the chemical strengthening of the glass substrate; Based on the target height of the glass button, the back etching depth of the glass substrate is calculated. The back etching depth, the chemical parameters of the molten salt, and the target strengthening parameters of chemical strengthening are input into the trained deep learning model to obtain the temperature-time strengthening control curve for chemical strengthening of the glass substrate. Based on the back etching depth and temperature-time strengthening control curve, the processing of the glass substrate is controlled accordingly.

[0006] In a preferred embodiment of this application, the target strengthening parameters for chemical strengthening include the compressive stress on the glass surface and the depth of the glass stress layer, and the chemical parameters of the molten salt include the purity of the molten salt, the composition of the molten salt, and the cumulative concentration of sodium ions in the molten salt.

[0007] In a preferred embodiment of this application, calculating the back etching depth of the glass substrate based on the target height of the glass button includes: Based on the target height of the glass button, the thickness difference between the button island and the edge of the corresponding glass substrate is calculated; The thickness difference between the button island and the edge of the glass substrate is used as the corresponding back etching depth of the glass substrate; The target height of the glass button is calculated as the difference in thickness between the button island and its edge, which is 0.30 to 0.50.

[0008] In a preferred embodiment of this application, the temperature-time strengthening control curve during the chemical strengthening of the glass substrate includes a temperature-time sub-control curve for the preheating stage, a temperature-time sub-control curve for the main strengthening stage, a temperature-time sub-control curve for the stress stabilization stage, and a temperature-time control curve for the cooling stage.

[0009] In a preferred embodiment of this application, the training process of the trained deep learning model includes: Obtain a sample dataset of glass buttons processed from glass substrates. Each sample dataset includes the strengthening parameters of the glass substrate during chemical strengthening, the chemical parameters of the molten salt used during chemical strengthening, the back etching depth of the glass substrate, and the strengthening parameters of the glass substrate during chemical strengthening. The sample dataset is divided into a training sample set, a validation sample set, and a test sample set according to a predetermined partitioning ratio; Based on the training sample set, the validation sample set, and the test sample set, the deep learning model to be trained is trained to obtain the trained deep learning model. The trained deep learning model can output the temperature-time strengthening control curve of the glass substrate chemical strengthening according to the input strengthening parameters of the glass substrate chemical strengthening, the chemical parameters of the molten salt used in the chemical strengthening, and the back etching depth of the glass substrate.

[0010] In a preferred embodiment of this application, the step of controlling the processing of the glass substrate according to the back etching depth and temperature-time strengthening control curve includes: The chemical etching process of the glass substrate is controlled according to the back etching depth. The chemical strengthening process of the glass substrate is controlled based on the temperature-time strengthening control curve.

[0011] In a preferred embodiment of this application, the process control of the chemical strengthening process of the glass substrate based on the temperature-time strengthening control curve includes: To obtain the heating and cooling control rates during the chemical strengthening of glass substrates; Based on the heating control rate and the cooling control rate, the heating process and the cooling process in the temperature-time enhanced control curve are optimized accordingly. Based on the optimized temperature-time strengthening control curve, the chemical strengthening process of the glass substrate is controlled.

[0012] Secondly, this application provides a processing control device for the arched morphology structure of glass buttons, comprising: The target parameter acquisition module is used to acquire the target height of the glass button on the glass substrate and the target strengthening parameters for chemical strengthening. The molten salt parameter acquisition module is used to acquire the chemical parameters of the molten salt used in the chemical strengthening of the glass substrate; The etching depth calculation module is used to calculate the back etching depth of the glass substrate based on the target height of the glass button. The temperature control curve output module is used to input the back etching depth, the chemical parameters of the molten salt and the target strengthening parameters of chemical strengthening into the trained deep learning model to obtain the temperature-time strengthening control curve of the glass substrate during chemical strengthening. The processing control module is used to perform corresponding processing control on the glass substrate according to the back etching depth and temperature-time strengthening control curve.

[0013] Thirdly, this application provides a computer device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the computer device to perform the above-described processing control method for the glass button arched morphology structure.

[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described processing control method for the arched morphology structure of glass buttons.

[0015] This application discloses a processing control method and apparatus for the arched morphology structure of glass buttons, which, compared with the prior art, has at least the following advantages: This application calculates the back-side etching depth of the glass substrate based on the target height (i.e., target arch height) of the glass button, and controls the processing of the glass substrate accordingly based on the back-side etching depth. The back-side etching depth of the glass substrate is a key processing parameter in the chemical etching process of the glass substrate, thereby controlling the processing of the chemical etching process. Furthermore, by inputting the obtained chemical parameters of the molten salt, the target strengthening parameters of chemical strengthening, and the back-side etching depth into a trained deep learning model, a temperature-time strengthening control curve for the chemical strengthening of the glass substrate is obtained, and the processing of the glass substrate is controlled based on the temperature-time strengthening control curve. The processing of glass substrates is controlled accordingly, thereby controlling the chemical strengthening process in glass substrate processing. Compared with the existing processing control method for glass buttons that relies on the work experience of workers, this method can better control the processing of glass buttons, making it easier for the actual arch height of the processed glass buttons to reach the target arch height, and making it easier to achieve the expected processing quality. There is no need to repeatedly adjust the processing control of the two key processing steps of chemical etching and chemical strengthening. In this way, the processing efficiency of glass buttons can be significantly improved, the waste of processing materials can be reduced, and the processing cost of glass buttons can be effectively reduced. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the processing control method for the arched morphology structure of glass buttons provided in this application embodiment; Figure 2 This is a flowchart illustrating step S130 provided in an embodiment of this application; Figure 3 This is a schematic diagram of the training process of the deep learning model provided in the embodiments of this application; Figure 4 This is a flowchart illustrating step S150 provided in an embodiment of this application; Figure 5 This is a flowchart illustrating step S152 provided in an embodiment of this application; Figure 6This is a structural block diagram of the processing control device for the glass button arch morphology structure provided in the embodiments of this application; Figure 7 This is a schematic diagram of the internal structure of the computer device provided in the embodiments of this application. Detailed Implementation

[0018] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.

[0019] Currently, the processing control method for glass buttons is relatively simple. It mainly involves workers controlling the two key processing steps of chemical etching and chemical strengthening based on the target arch height of the glass button. However, this method relies heavily on the experience of the workers, making it difficult to effectively control the processing. This often results in the actual arch height of the processed glass button falling short of the target arch height, causing the processing quality to fall short of expectations. Workers need to repeatedly adjust the processing control of the two key processing steps of chemical etching and chemical strengthening until a glass button that meets the processing expectations is produced. This significantly reduces the processing efficiency of glass buttons and wastes a lot of processing materials, increasing the processing cost.

[0020] To address the problems in the prior art, this application provides a processing control method and apparatus for the arched shape structure of glass buttons. This method can effectively control the processing of glass buttons, making it easier for the actual arch height of the processed glass buttons to reach the target arch height, significantly improving the processing efficiency of glass buttons, reducing the waste of processing materials, and effectively reducing the processing cost of glass buttons.

[0021] See Figure 1 , Figure 1 This is a flowchart illustrating the processing control method for the arched shape structure of glass buttons provided in this application embodiment.

[0022] The processing control method for the arched shape of the glass button described in this application embodiment can be applied to computer equipment such as a main control server used in conjunction with the processing of glass buttons.

[0023] This application provides a method for controlling the processing of the arched morphology of glass buttons, applied in the processing of glass buttons, including the following steps: Step S110: Obtain the target height of the glass button on the glass substrate and the target strengthening parameters for chemical strengthening.

[0024] In one embodiment, the glass substrate is high-aluminosilicate glass; the target height of the glass button, i.e. the target arch height of the glass button, refers to the height difference between the center of the glass button area and the non-button plane. It can be understood that the target height of the glass button is a processing parameter that is determined before the glass button is processed; the target strengthening parameters for chemical strengthening of the glass substrate refer to the strengthening parameters expected to be achieved when the glass substrate is chemically strengthened, i.e., how many values ​​a certain strengthening parameter or some other strengthening parameters should reach.

[0025] In one embodiment, the target height of the glass button and the target strengthening parameters for chemical strengthening of the glass substrate can be data input by the operator or data obtained by the main control server from the production and processing data corresponding to the glass button.

[0026] Step S120: Obtain the chemical parameters of the molten salt used in the chemical strengthening of the glass substrate.

[0027] In one embodiment, the chemical parameters of the molten salt may include chemical parameters such as the purity and composition of the molten salt. For example, the chemical parameters of the molten salt used in the chemical strengthening of the glass substrate can be data input by the operator or data obtained by the main control server from the production and processing data of the glass button regarding the molten salt used.

[0028] Step S130: Calculate the back etching depth of the glass substrate based on the target height of the glass button.

[0029] In one embodiment, the etching depth on the back side of the glass substrate is a key processing parameter in the chemical etching process of glass substrate processing. It is related to the dome height of the glass button and determines the speed and sufficiency of ion exchange during the chemical strengthening of the glass substrate. The speed and sufficiency of ion exchange during the chemical strengthening of the glass substrate have an important impact on the dome height of the glass button. Specifically, the etching depth on the back side of the glass substrate during chemical etching can be 60%-95% of the thickness of the glass substrate. For example, when calculating the back etching depth of the glass substrate based on the target height of the glass button, the back etching depth of the glass substrate can be calculated based on the predetermined relationship between the target height of the glass button and the back etching depth of the glass substrate, as well as the corresponding calculation method.

[0030] Step S140: Input the back etching depth, chemical parameters of molten salt, and target strengthening parameters of chemical strengthening into the trained deep learning model to obtain the temperature-time strengthening control curve for chemical strengthening of glass substrate.

[0031] In one embodiment, the deep learning model is a pre-trained artificial intelligence model that can output a temperature-time strengthening control curve that can be used when the glass substrate is chemically strengthened, based on the input back etching depth, chemical parameters of the molten salt, and target strengthening parameters of chemical strengthening. The temperature-time strengthening control curve can reflect the strengthening temperature corresponding to each chemical strengthening time node when the glass substrate is chemically strengthened.

[0032] Step S150: Based on the back etching depth and temperature-time strengthening control curve, the processing of the glass substrate is controlled accordingly.

[0033] In one embodiment, the main control server is connected to each processing device of the glass button. The main control server can control the processing device corresponding to the glass button according to the back etching depth and the temperature-time strengthening control curve, and then control the processing of the glass substrate accordingly. The processing device for etching the glass substrate will etch the glass substrate at the back etching depth, and the processing device for chemical strengthening the glass substrate will chemically strengthen the etched glass substrate according to the temperature-time strengthening control curve.

[0034] The processing control method for the arched morphology structure of the glass button in this application embodiment calculates the back etching depth of the glass substrate based on the target height (i.e., target arch height) of the glass button, and performs corresponding processing control on the glass substrate based on the back etching depth. The back etching depth of the glass substrate is a key processing parameter in the chemical etching process of the glass substrate processing, thereby controlling the processing of the chemical etching process in the glass substrate processing; furthermore, by inputting the obtained chemical parameters of the molten salt, the target strengthening parameters of chemical strengthening, and the back etching depth into a trained deep learning model, a temperature-time strengthening control curve for the chemical strengthening of the glass substrate is obtained, and the temperature is controlled according to the temperature... - The time-strengthened control curve provides corresponding processing control for the glass substrate, thereby controlling the chemical strengthening process in the glass substrate processing. Compared with the existing processing control methods for glass buttons that rely on the work experience of the workers, this method can better control the processing of glass buttons, making it easier for the actual arch height of the processed glass buttons to reach the target arch height, and making it easier to achieve the expected processing quality. It eliminates the need for repeated adjustments to the processing control of the two key processing steps of chemical etching and chemical strengthening. As a result, it can significantly improve the processing efficiency of glass buttons, reduce the waste of processing materials, and effectively reduce the processing cost of glass buttons.

[0035] In one embodiment, the target strengthening parameters for chemical strengthening include the compressive stress on the glass surface and the depth of the glass stress layer, and the chemical parameters of the molten salt include the purity of the molten salt, the composition of the molten salt, and the cumulative concentration of sodium ions in the molten salt.

[0036] The compressive stress (CS) on the glass surface is typically required to be greater than or equal to 650 MPa, and the stress layer depth (DOL) is typically required to be greater than or equal to 30 μm. For the arched morphology of glass buttons, the surface compressive stress (CS) and stress layer depth (DOL) are precisely controlled by chemical strengthening (ion exchange) parameters and are strongly correlated with the arch height of the glass buttons. Specifically, the influence of the glass surface compressive stress (CS) on the arch height of glass buttons and the feel and structure of glass buttons can be seen in the following table:

[0037] The impact of glass stress layer depth (DOL) on the dome height and reliability of glass buttons can be found in the table below:

[0038] The surface compressive stress (CS) is strongly correlated with the temperature of chemical strengthening, the composition and purity of the molten salt, and the cumulative concentration of sodium ions in the molten salt. Generally, the higher the temperature, the faster the ion exchange, and the easier it is for the surface compressive stress (CS) to increase, but excessively high temperatures should be avoided. The higher the composition and purity of the molten salt, the higher the surface compressive stress (CS). The lower the cumulative concentration of sodium ions, the more exchangeable sodium ions there are, and the higher the surface compressive stress (CS). The stress layer depth (DOL) is strongly correlated with the time of chemical strengthening and the cumulative concentration of sodium ions in the molten salt. Generally, the longer the chemical strengthening time, the deeper the stress layer depth (DOL). The higher the cumulative concentration of sodium ions in the molten salt, the slower the ion exchange, and the shallower the stress layer depth (DOL). In this embodiment, the appropriate glass surface compressive stress CS and glass stress layer depth DOL can be preset according to the target height of the glass button.

[0039] The purity of molten salt mainly refers to the purity of KNO3. The composition of molten salt refers to the constituent substances of molten salt, reflecting the impurities contained in the molten salt. The cumulative sodium ion concentration of molten salt can be obtained by detecting the molten salt used in the chemical strengthening of glass substrate. Generally, the lower the cumulative sodium ion concentration of new molten salt, the higher the cumulative sodium ion concentration of aged or long-used molten salt. The cumulative sodium ion concentration of new molten salt is generally 0-500 ppm, while the cumulative sodium ion concentration of aged or long-used molten salt is generally 2000-5000 ppm.

[0040] In this embodiment, the back etching depth, molten salt purity, molten salt composition, cumulative sodium ion concentration of molten salt, glass surface compressive stress, glass stress layer depth, and temperature and time during chemical strengthening are strongly correlated. The back etching depth, molten salt purity, molten salt composition, cumulative sodium ion concentration of molten salt, glass surface compressive stress, and glass stress layer depth are treated as objective invariant factors, while the temperature and time during chemical strengthening are treated as variable factors. This establishes a logical relationship that allows adjustment of glass surface compressive stress and glass stress layer depth based on the temperature and time during chemical strengthening. This enables better control of the chemical strengthening process on the glass substrate, making it easier to achieve the pre-set appropriate glass surface compressive stress CS and glass stress layer depth DOL. Consequently, the actual arch height of the processed glass button is more likely to reach the target arch height.

[0041] See Figure 2 In one embodiment, step S130, calculating the back etching depth of the glass substrate based on the target height of the glass button, may include the following steps: Step S131: Calculate the thickness difference between the button island and the edge of the corresponding glass substrate based on the target height of the glass button. Step S132: The thickness difference between the button island and the edge of the glass substrate is taken as the back etching depth of the glass substrate. The target height of the glass button is calculated as the difference in thickness between the button island and its edge, which is 0.30 to 0.50.

[0042] Understandably, the thickness difference between the button island and the edge of the glass substrate refers to the difference between the thickness of the central button area (button island) and the thickness of the outer edge support area after the back of the glass is etched.

[0043] For example, the relationship between the target height of the glass button, the thickness difference between the button island and the edge of the glass substrate, and the etching depth on the back side can be seen in the following table:

[0044] By using the above method for calculating the back etching depth, a suitable back etching depth can be calculated relatively accurately, which facilitates the etching process on the glass substrate.

[0045] In one embodiment, the temperature-time strengthening control curve for chemical strengthening of the glass substrate includes a temperature-time sub-control curve for the preheating stage, a temperature-time sub-control curve for the main strengthening stage, a temperature-time sub-control curve for the stress stabilization stage, and a temperature-time control curve for the cooling stage.

[0046] Specifically, the temperature of the preheating section during chemical strengthening of the glass substrate can be 250℃ → 380℃, the heating rate can be 3~5℃ / min, and the preheating time can be 15~30 min; the temperature of the main strengthening section during chemical strengthening of the glass substrate can be 360~420℃, and the time can be 3~9 h; the temperature of the stress stabilizing section during chemical strengthening of the glass substrate can be 380~400℃, usually 10~20℃ lower than the main strengthening section, and the time can be 30~60 min; the temperature of the cooling section during chemical strengthening of the glass substrate can be 400℃ → 200℃, and the cooling time can be 20~40 min.

[0047] In this embodiment, the chemical strengthening of the glass substrate is divided into four specific time periods: preheating, main strengthening, stress stabilization, and cooling. This allows for more precise control of the chemical strengthening process of the glass substrate, thereby enabling the glass surface compressive stress and glass stress layer depth to better reach the pre-set appropriate glass surface compressive stress CS and glass stress layer depth DOL during chemical strengthening.

[0048] See Figure 3 In one embodiment, the training process of a trained deep learning model may include the following steps: Step S310: Obtain a sample dataset of glass buttons processed from glass substrates; Step S320: Divide the sample dataset into a training sample set, a validation sample set, and a test sample set according to a predetermined partitioning ratio; Step S330: Based on the training sample set, validation sample set and test sample set, train the deep learning model to be trained to obtain the trained deep learning model. Each sample data includes the strengthening parameters during chemical strengthening of the glass substrate, the chemical parameters of the molten salt used during chemical strengthening, the back etching depth of the glass substrate, and the strengthening processing parameters during chemical strengthening of the glass substrate. Specifically, the strengthening parameters during chemical strengthening of the glass substrate may include the aforementioned compressive stress CS on the glass surface and the depth of the glass stress layer DOL. The chemical parameters of the molten salt may include the purity of the molten salt, the composition of the molten salt, and the cumulative concentration of sodium ions in the molten salt. The strengthening processing parameters during chemical strengthening of the glass substrate may include the temperature and time corresponding to the preheating section, the main strengthening section, the stress stabilization section, and the cooling section. A trained deep learning model can output a temperature-time strengthening control curve for the chemical strengthening of a glass substrate based on the input strengthening parameters, the chemical parameters of the molten salt used in the chemical strengthening process, and the back etching depth of the glass substrate. Through training and optimization of the deep learning model, the trained deep learning model can output a matching and optimal temperature-time strengthening control curve for the chemical strengthening of a glass substrate based on the input strengthening parameters, the chemical parameters of the molten salt used in the chemical strengthening process, and the back etching depth of the glass substrate.

[0049] See Figure 4 In one embodiment, step S150, which involves controlling the processing of the glass substrate according to the back etching depth and temperature-time strengthening control curve, may include the following steps: Step S151: Control the chemical etching process of the glass substrate according to the back etching depth; Step S152: The chemical strengthening process of the glass substrate is controlled according to the temperature-time strengthening control curve.

[0050] Specifically, during the chemical etching stage, the main control server can adjust and control the etching parameters of the processing equipment that etches the glass substrate based on the back etching depth, thereby controlling the chemical etching process of the glass substrate. Furthermore, during the chemical strengthening stage, the main control server can adjust and control the strengthening temperature of the processing equipment that chemically strengthens the glass substrate at different time points based on the temperature-time strengthening control curve, thereby controlling the chemical strengthening process of the glass substrate.

[0051] See Figure 5 In this embodiment, preferably, step S152, which controls the chemical strengthening process of the glass substrate according to the temperature-time strengthening control curve, may include the following steps: Step S1521: Obtain the heating control rate and cooling control rate during the chemical strengthening of the glass substrate; Step S1522: Based on the heating control rate and the cooling control rate, optimize the heating process and the cooling process in the temperature-time enhanced control curve accordingly. Step S1523: Based on the optimized temperature-time strengthening control curve, the chemical strengthening process of the glass substrate is controlled.

[0052] Among them, the heating control rate and cooling control rate during the chemical strengthening of glass substrate refer to the heating control rate and cooling control rate that the processing equipment for chemically strengthening the glass substrate can achieve. Different chemical strengthening processing equipment has different heating control rates and cooling control rates. For example, the heating control rate and cooling control rate during the chemical strengthening of glass substrate can be data input by the operator, or data obtained by the main control server from the production processing data corresponding to the glass button, based on the information of the chemical strengthening processing equipment.

[0053] For the temperature-time strengthening control curve output by the deep learning model, the heating and cooling processes may not be suitable for the heating and cooling control rates achievable by the chemical strengthening processing equipment for glass substrates. Therefore, based on the heating and cooling control rates achievable by the chemical strengthening processing equipment, the heating and cooling processes in the temperature-time strengthening control curve are optimized accordingly, so that the chemical strengthening processing equipment can achieve the required heating rate during processing. For example, the portion of the heating process in the temperature-time strengthening control curve where the heating rate exceeds the heating control rate achievable by the chemical strengthening processing equipment can be optimized, reducing the heating rate to the achievable heating control rate and correspondingly extending the required heating time.

[0054] In the above implementation method, by optimizing the temperature-time strengthening control curve, the optimized temperature-time strengthening control curve can be more suitable for the processing equipment for chemical strengthening of glass substrates. As a result, when the chemical strengthening processing equipment performs chemical strengthening, its chemical strengthening effect can be closer to the chemical strengthening effect that can be achieved by the unoptimized temperature-time strengthening control curve, thereby better ensuring the processing effect of chemical strengthening of glass substrates.

[0055] In order to perform the methods corresponding to the above embodiments and achieve the corresponding functions and technical effects, a processing control device for the arched shape structure of glass buttons is provided below.

[0056] See Figure 6 , Figure 6 This is a structural block diagram of the processing control device for the glass button arch shape structure provided in the embodiments of this application.

[0057] The processing control device for the glass button arched morphology structure provided in this application embodiment includes: The target parameter acquisition module 610 is used to acquire the target height of the glass button on the glass substrate and the target strengthening parameters for chemical strengthening. The molten salt parameter acquisition module 620 is used to acquire the chemical parameters of the molten salt used in the chemical strengthening of the glass substrate; The etching depth calculation module 630 is used to calculate the back etching depth of the glass substrate based on the target height of the glass button. The temperature control curve output module 640 is used to input the back etching depth, the chemical parameters of the molten salt and the target strengthening parameters of chemical strengthening into the trained deep learning model to obtain the temperature-time strengthening control curve of the glass substrate during chemical strengthening. The processing control module 650 is used to perform corresponding processing control on the glass substrate according to the back etching depth and temperature-time strengthening control curve.

[0058] The processing control device for the glass button arch morphology structure in this application calculates the back etching depth of the glass substrate based on the target height (i.e., target arch height) of the glass button, and performs corresponding processing control on the glass substrate based on the back etching depth. The back etching depth of the glass substrate is a key processing parameter in the chemical etching process of the glass substrate processing, thereby controlling the processing of the chemical etching process in the glass substrate processing; furthermore, by inputting the obtained chemical parameters of the molten salt, the target strengthening parameters of chemical strengthening, and the back etching depth into a trained deep learning model, a temperature-time strengthening control curve for the chemical strengthening of the glass substrate is obtained, and the temperature is controlled according to the temperature... - The time-strengthened control curve provides corresponding processing control for the glass substrate, thereby controlling the chemical strengthening process in the glass substrate processing. Compared with the existing processing control methods for glass buttons that rely on the work experience of the workers, this method can better control the processing of glass buttons, making it easier for the actual arch height of the processed glass buttons to reach the target arch height, and making it easier to achieve the expected processing quality. It eliminates the need for repeated adjustments to the processing control of the two key processing steps of chemical etching and chemical strengthening. As a result, it can significantly improve the processing efficiency of glass buttons, reduce the waste of processing materials, and effectively reduce the processing cost of glass buttons.

[0059] As an optional implementation, the etching depth calculation module 630 can be specifically used for: Based on the target height of the glass button, the thickness difference between the button island and the edge of the corresponding glass substrate is calculated; The thickness difference between the button island and the edge of the glass substrate is used as the corresponding back etching depth of the glass substrate; The target height of the glass button is calculated as the difference in thickness between the button island and its edge, which is 0.30 to 0.50.

[0060] As an optional implementation, the processing control device for the glass button arched morphology structure in this application embodiment may further include a model training module for: Obtain a sample dataset of glass buttons processed from glass substrates. Each sample dataset includes the strengthening parameters of the glass substrate during chemical strengthening, the chemical parameters of the molten salt used during chemical strengthening, the back etching depth of the glass substrate, and the strengthening parameters of the glass substrate during chemical strengthening. The sample dataset is divided into a training sample set, a validation sample set, and a test sample set according to a predetermined partitioning ratio. Based on the training sample set, validation sample set, and test sample set, the deep learning model to be trained is trained to obtain the trained deep learning model. The trained deep learning model can output the temperature-time strengthening control curve of the glass substrate chemical strengthening according to the strengthening parameters of the glass substrate chemical strengthening, the chemical parameters of the molten salt used in chemical strengthening, and the back etching depth of the glass substrate.

[0061] As an optional implementation, the processing control module 650 can be specifically used for: The chemical etching process of the glass substrate is controlled according to the etching depth on the back side; The chemical strengthening process of the glass substrate is controlled based on the temperature-time strengthening control curve.

[0062] Preferably, when the processing control module 650 controls the chemical strengthening process of the glass substrate according to the temperature-time strengthening control curve, it can: To obtain the heating and cooling control rates during the chemical strengthening of glass substrates; Based on the heating control rate and the cooling control rate, the heating process and the cooling process in the temperature-time enhanced control curve are optimized accordingly. Based on the optimized temperature-time strengthening control curve, the chemical strengthening process of the glass substrate is controlled.

[0063] The aforementioned processing control device for the glass button arched morphology structure can implement the processing control method for the glass button arched morphology structure described above. For specific limitations and other details of the embodiments of the aforementioned processing control device for the glass button arched morphology structure, please refer to the content of the processing control method for the glass button arched morphology structure described above; further details will not be repeated in the embodiments.

[0064] This application also provides a computer device, including a memory and a processor. The memory is used to store a computer program, and the processor runs the computer program to enable the computer device to perform the above-described processing control method for the glass button arched morphology structure.

[0065] Optionally, the aforementioned computer equipment may be a main control server or other computer equipment used in conjunction with the processing of glass buttons.

[0066] In one embodiment, the internal structure of the computer device of this application can be as follows: Figure 7 As shown.

[0067] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described processing control method for the arched morphology structure of glass buttons.

[0068] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0069] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0070] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a 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 this application. The aforementioned 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.

[0071] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0072] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0073] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Similarly, in the description of this application, the terms "first," "second," etc., are used only for descriptive distinction and should not be construed as indicating or implying relative importance. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for controlling the processing of the arched morphology of a glass button, characterized in that, include: Obtain the target height of the glass keypad on the glass substrate and the target strengthening parameters for chemical strengthening; Obtain the chemical parameters of the molten salt used in the chemical strengthening of the glass substrate; Based on the target height of the glass button, the back etching depth of the glass substrate is calculated. The back etching depth, the chemical parameters of the molten salt, and the target strengthening parameters of chemical strengthening are input into the trained deep learning model to obtain the temperature-time strengthening control curve for chemical strengthening of the glass substrate. Based on the back etching depth and temperature-time strengthening control curve, the processing of the glass substrate is controlled accordingly.

2. The processing control method for the arched morphology structure of glass buttons according to claim 1, characterized in that, The target strengthening parameters for chemical strengthening include the compressive stress on the glass surface and the depth of the glass stress layer. The chemical parameters of the molten salt include the purity of the molten salt, the composition of the molten salt, and the cumulative concentration of sodium ions in the molten salt.

3. The processing control method for the arched morphology structure of glass buttons according to claim 1, characterized in that, The step of calculating the back etching depth of the glass substrate based on the target height of the glass button includes: Based on the target height of the glass button, the thickness difference between the button island and the edge of the corresponding glass substrate is calculated; The thickness difference between the button island and the edge of the glass substrate is used as the corresponding back etching depth of the glass substrate; The target height of the glass button is calculated as the difference in thickness between the button island and its edge, which is 0.30 to 0.

50.

4. The processing control method for the arched morphology structure of glass buttons according to claim 1, characterized in that, The temperature-time strengthening control curves for chemical strengthening of glass substrates include the temperature-time sub-control curves for the preheating stage, the main strengthening stage, the stress stabilization stage, and the cooling stage.

5. The processing control method for the arched morphology structure of glass buttons according to claim 1, 2, or 4, characterized in that, The training process of the trained deep learning model includes: Obtain a sample dataset of glass buttons processed from glass substrates. Each sample dataset includes the strengthening parameters of the glass substrate during chemical strengthening, the chemical parameters of the molten salt used during chemical strengthening, the back etching depth of the glass substrate, and the strengthening parameters of the glass substrate during chemical strengthening. The sample dataset is divided into a training sample set, a validation sample set, and a test sample set according to a predetermined partitioning ratio; Based on the training sample set, the validation sample set, and the test sample set, the deep learning model to be trained is trained to obtain the trained deep learning model. The trained deep learning model can output the temperature-time strengthening control curve of the glass substrate chemical strengthening according to the input strengthening parameters of the glass substrate chemical strengthening, the chemical parameters of the molten salt used in the chemical strengthening, and the back etching depth of the glass substrate.

6. The processing control method for the arched morphology structure of glass buttons according to claim 1, characterized in that, The process control of the glass substrate based on the back etching depth and temperature-time strengthening control curve includes: The chemical etching process of the glass substrate is controlled according to the back etching depth. The chemical strengthening process of the glass substrate is controlled based on the temperature-time strengthening control curve.

7. The processing control method for the arched morphology structure of glass buttons according to claim 6, characterized in that, The process control of the chemical strengthening process of the glass substrate based on the temperature-time strengthening control curve includes: To obtain the heating and cooling control rates during the chemical strengthening of glass substrates; Based on the heating control rate and the cooling control rate, the heating process and the cooling process in the temperature-time enhanced control curve are optimized accordingly. Based on the optimized temperature-time strengthening control curve, the chemical strengthening process of the glass substrate is controlled.

8. A processing control device for the arched morphology structure of glass buttons, characterized in that, include: The target parameter acquisition module is used to acquire the target height of the glass button on the glass substrate and the target strengthening parameters for chemical strengthening. The molten salt parameter acquisition module is used to acquire the chemical parameters of the molten salt used in the chemical strengthening of the glass substrate; The etching depth calculation module is used to calculate the back etching depth of the glass substrate based on the target height of the glass button. The temperature control curve output module is used to input the back etching depth, the chemical parameters of the molten salt and the target strengthening parameters of chemical strengthening into the trained deep learning model to obtain the temperature-time strengthening control curve of the glass substrate during chemical strengthening. The processing control module is used to perform corresponding processing control on the glass substrate according to the back etching depth and temperature-time strengthening control curve.

9. A computer device, characterized in that, The device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to enable the computer device to perform the processing control method for the glass button arched morphology structure according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by a processor, implements the processing control method for the glass button arched morphology structure as described in any one of claims 1 to 7.

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