CN115258323A - Film tearing control method and device, electronic equipment and storage medium - Google Patents
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Abstract
The disclosure relates to a film tearing control method, a device, an electronic device and a storage medium, wherein the method comprises the following steps: acquiring at least one group of process parameters, wherein each group of process parameters comprises parameters corresponding to various process influence factors; determining at least one electrostatic value according to the at least one group of process parameters, wherein the at least one group of process parameters are in one-to-one correspondence with the at least one electrostatic value, and the electrostatic value is used for representing the residual electrostatic quantity on the surface of the display screen after the film is torn; and determining to tear the film by adopting the process parameters corresponding to the preset static value in response to the fact that the preset static value in the at least one static value is in a reference range. By using the method disclosed by the invention, the determined process parameters are used for tearing the film, and the residual static electricity on the display screen can be reduced to the greatest extent in the film tearing process, so that the influence of static electricity on the display of the display screen is reduced, and the production quality of the flexible display screen is ensured.
Description
Technical Field
The disclosure relates to the field of flexible display screen production, and in particular relates to a film tearing control method and device, an electronic device and a storage medium.
Background
With the development of the technology, in the field of electronic devices such as mobile phones, flexible display screens are gradually adopted as display modules to produce electronic devices in various forms. The flexible display screen often adopts PI as the structure basement, in the flexible display screen processing procedure, can set up the protection film on the surface of PI, at flexible display screen production line or in electronic equipment product assembling process, need tear the protection film of flexible display screen.
In the related art, in the production or application process of the flexible display screen, the technical problem that static electricity is generated by a torn film to influence the display of the display screen exists.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides a method and apparatus for controlling a tear film, an electronic device, and a storage medium.
According to a first aspect of the embodiments of the present disclosure, there is provided a tear film control method including:
acquiring at least one group of process parameters, wherein each group of process parameters comprises parameters corresponding to various process influence factors;
determining at least one static value according to the at least one group of process parameters, wherein the at least one group of process parameters correspond to the at least one static value one by one, and the static value is used for representing the residual static quantity on the surface of the display screen after the film is torn;
and determining to tear the film by adopting the process parameters corresponding to the preset electrostatic value in response to the preset electrostatic value in the at least one electrostatic value within the reference range.
Optionally, said determining at least one electrostatic value from said at least one set of process parameters comprises:
and respectively inputting the at least one group of process parameters into the trained first model, and outputting the at least one static value.
Optionally, the method further comprises training the first model to:
acquiring training data, wherein the training data comprises: a plurality of groups of process parameters and a plurality of real static values which are in one-to-one correspondence with the plurality of groups of process parameters;
inputting each group of process parameters in the training data into a first model respectively, and outputting predicted static values corresponding to each group of process parameters;
and adjusting the model parameters in the first model according to the difference between each output predicted static value and the corresponding real static value until the first model converges.
Optionally, the method further comprises:
calibrating the process parameters corresponding to the preset electrostatic values based on the threshold value ranges set for the parameters corresponding to the multiple process influence factors in the process parameters and/or according to the influence change relations of the multiple process influence factors in the process parameters on the electrostatic values to obtain reference process parameters;
and determining to tear the film by using the reference process parameter in response to the static electricity value of the reference process parameter being kept in the reference range.
Optionally, the calibrating the process parameter corresponding to the preset electrostatic value according to the influence variation relationship of the multiple process influence factors in the process parameter on the electrostatic value to obtain the reference process parameter includes:
obtaining a second model, wherein the second model is determined based on the influence change relationship of the multiple process influence factors on the electrostatic value in the process parameters and the influence change relationship among the multiple process influence factors;
and calibrating the process parameters corresponding to the preset electrostatic value according to the second model to obtain reference process parameters.
According to a second aspect of an embodiment of the present disclosure, there is provided a tear film control device, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring at least one group of process parameters, and each group of process parameters comprises parameters corresponding to various process influence factors;
the first determining module is used for determining at least one electrostatic value according to the at least one group of process parameters, wherein the at least one group of process parameters correspond to the at least one electrostatic value in a one-to-one manner, and the electrostatic value is used for representing the residual electrostatic quantity on the surface of the display screen after the film is torn;
and the second determining module is used for responding to the preset static value in the at least one static value in a reference range and determining that the film tearing is carried out by adopting the process parameter corresponding to the preset static value.
Optionally, the first determining module is specifically configured to:
and respectively inputting the at least one group of process parameters into the trained first model, and outputting the at least one static value.
Optionally, the apparatus further includes a training module, configured to train the first model, where the training module is specifically configured to:
acquiring training data, wherein the training data comprises: a plurality of groups of process parameters and a plurality of real static values which are in one-to-one correspondence with the plurality of groups of process parameters;
inputting each group of process parameters in the training data to a first model respectively, and outputting a predicted static value corresponding to each group of process parameters;
and adjusting the model parameters in the first model according to the difference between each output predicted static value and the corresponding real static value until the first model converges.
Optionally, the apparatus further comprises: a calibration module to:
calibrating the process parameters corresponding to the preset electrostatic values based on the threshold value ranges set for the parameters corresponding to the multiple process influence factors in the process parameters and/or according to the influence change relationship of the multiple process influence factors in the process parameters on the electrostatic values, and obtaining reference process parameters;
and determining to tear the film by using the reference process parameter in response to the static electricity value of the reference process parameter being kept in the reference range.
Optionally, the calibration module is specifically configured to:
obtaining a second model, wherein the second model is determined based on the influence change relationship of the multiple process influence factors on the electrostatic value in the process parameters and the influence change relationship among the multiple process influence factors;
and calibrating the process parameters corresponding to the preset electrostatic value according to the second model to obtain reference process parameters.
According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, including:
a processor;
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the tear film control method of any one of the above.
According to a fourth aspect of embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium having instructions therein, which when executed by a processor of an electronic device, enable the electronic device to perform the tear film control method as described in any one of the above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: by using the method disclosed by the invention, various process influence factors in the film tearing process can be investigated, so that the corresponding process parameters when the preset electrostatic value is in the reference range can be determined. The film tearing process based on the process parameters can ensure that the residual static electricity on the display screen is reduced to the maximum extent in the film tearing process, thereby reducing the influence of static electricity on the display screen and ensuring the production quality of the flexible display screen.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow chart illustrating a method according to an example embodiment.
FIG. 2 is a flow chart illustrating a method according to an example embodiment.
FIG. 3 is a flowchart illustrating a method according to an example embodiment.
Fig. 4 is a block diagram illustrating an apparatus according to an example embodiment.
Fig. 5 is a block diagram illustrating an apparatus according to an example embodiment.
FIG. 6 is a block diagram of an electronic device shown in accordance with an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
With the development of the technology, in the field of electronic devices such as mobile phones, flexible display screens are gradually adopted as display modules to produce electronic devices in various forms. The flexible display screen usually adopts PI as the structure basement, and in the flexible display screen processing procedure, can set up the protection film on PI's surface, at flexible display screen production line or in electronic equipment product assembling process, need tear the protection film of flexible display screen.
In the related art, in the process of tearing the flexible display screen, the flexible display screen is torn mainly according to experience, static electricity generated in the process of tearing the flexible display screen can remain on a PI (polyimide film) substrate of the flexible display screen, and the static electricity remaining on the PI substrate easily influences the characteristics of a TFT (thin film transistor) inside the display screen, so that the display screen has the problems of poor display and the like.
Therefore, in the related art, in the production or application process of the flexible display screen, the technical problem that static electricity is generated by the torn film to influence the display of the display screen exists.
In order to solve the problems in the related art, an embodiment of the present disclosure provides a tear film control method, including: and acquiring at least one group of process parameters, wherein each group of process parameters comprises parameters corresponding to various process influence factors. And determining at least one static value according to at least one group of process parameters, wherein at least one group of process parameters corresponds to at least one static value one to one. And determining to tear the film by adopting the process parameters corresponding to the preset electrostatic value in response to the preset electrostatic value in the at least one electrostatic value within the reference range. By using the method disclosed by the invention, various process influence factors in the film tearing process can be investigated, so that the corresponding process parameters when the preset electrostatic value is in the reference range can be determined. The film tearing is carried out according to the process parameters, so that the residual static electricity on the display screen can be reduced to the greatest extent in the film tearing process, the influence of the static electricity on the display screen is reduced, and the production quality of the flexible display screen is ensured.
In an exemplary embodiment, the film tearing control method of the embodiment is applied to a flexible display screen film tearing process, wherein the flexible display screen may be, for example, an OLED (organic light emitting diode display).
As shown in fig. 1, the method in this embodiment may specifically include the following steps:
s110, at least one group of process parameters is obtained.
And S120, determining at least one static value according to at least one group of process parameters.
And S130, in response to the fact that the preset static value in the at least one static value is in the reference range, determining to tear the film by adopting the process parameters corresponding to the preset static value.
In step S110, each set of process parameters includes parameters corresponding to a plurality of process influencing factors. The process influencing factor can be, for example, a factor which is easy to generate static electricity during the film tearing process, and the process influencing factor can be various, such as: the film type, the film position, the film tearing speed and the like of the protective film in the film tearing process.
It is understood that the types of the process influencing factors included in each set of process parameters are the same, and the specific parameters corresponding to each process influencing factor are different.
In step S120, at least one set of process parameters corresponds to at least one static electricity value. I.e. a corresponding electrostatic value can be determined from each set of process parameters. The static value is used for representing the residual static quantity of the surface of the display screen (particularly the PI surface) after the film is torn.
The manner in which the electrostatic value is determined in accordance with the process parameters can be varied.
For example, a configuration table may be pre-constructed, in which a sufficient number of corresponding relationships between the process parameters and the static electricity values are stored, and the static electricity values corresponding to any one set of process parameters may be searched through traversal according to the configuration table.
For another example, the neural network model may be used to determine the electrostatic values corresponding to any set of process parameters, with the process parameters as inputs and the electrostatic values as outputs.
In step S130, a reference range may be preset or stored, for example, and the static value is characterized in the reference range: when the residual static electricity quantity on the display screen is within the range, the display of the display screen is not influenced, or the influence on the display screen is within a reasonable or acceptable range.
In the at least one static value determined in the above step S120, there may be one or more static values that satisfy the requirement (within the reference range), and the preset static value may be any one of them. Namely, any process parameter corresponding to the static value meeting the requirements can be adopted for tearing the film in the step, and the static generated by tearing the film can not influence the normal display of the display screen.
In an exemplary embodiment, in this embodiment, the step S120 may specifically include the following steps:
and S121, respectively inputting at least one group of process parameters into the trained first model, and outputting at least one static value.
In this embodiment, the electrostatic value is determined by using a neural network model. The first model may include, for example, a multi-layer feedforward neural network, the first model being trained based on training data, the training data including, for example, a plurality of sets of process parameters and a plurality of true static values corresponding to the plurality of sets of process parameters one to one. In combination with the at least one set of process parameters obtained in step S110, a set of process parameters may be input to the trained first model each time, and the electrostatic values corresponding to the set of process parameters may be output correspondingly.
The present embodiment is illustrated by way of example as follows:
in this example, the various process impact factors are: film material type, film material position, film tearing speed, fan power and fan action time. The parameters corresponding to the various process influence factors are respectively as follows: the film material type code K1, the film material position K2, the film tearing speed V, the fan power P and the fan action time T.
Wherein, the film material type code K1 represents the manufacturer of the protective film material, and common manufacturers such as Nidong or Innox; the influence of the membrane materials of different manufacturers on the static electricity generated in the membrane tearing process is different. The film material position K2 represents that the film sticking position is the front film and the back film of the display screen or other film sticking positions relative to the display screen, and the influence of film tearing on static electricity generated in the film tearing process at different positions is also different. The fan is, for example, a plasma fan.
Each group of process parameters comprises parameters corresponding to the various process influence factors, each group of process parameters is represented as (K1, K2, V, P, T), and the numerical values corresponding to each parameter in different groups of process parameters are different.
Then in this example, the inputs of the first model are (K1, K2, V, P, T) and the outputs are electrostatic values. By adjusting the parameter value corresponding to each factor in the multiple process influence factors, multiple sets of process parameters can be obtained, and therefore multiple electrostatic values can be output by using the first model.
In this embodiment, the first model is used in the flexible display screen manufacturing process to quickly determine the corresponding process parameter when the electrostatic value is within the reference range. The film tearing is carried out according to the process parameters, so that the influence of residual static electricity on the display screen can be reduced to the greatest extent in the film tearing process, and the production quality of the flexible display screen is guaranteed.
In an exemplary embodiment, the method in this embodiment further includes: s100, training a first model.
This step is, for example, to train the first model in advance to converge or to reach the number of iterations before applying the first model.
As shown in fig. 2, the step may specifically include the following steps:
s101, training data are obtained.
And S102, inputting each group of process parameters in the training data into the first model respectively, and outputting a predicted static value corresponding to each group of process parameters.
S103, adjusting model parameters in the first model according to the difference between each output predicted static value and the corresponding real static value until the first model converges.
In step S101, the training data includes: a plurality of groups of process parameters and a plurality of real static values which are in one-to-one correspondence with the plurality of groups of process parameters.
In this step, sufficient training data is collected before the model is trained. Such as: after each group of technological parameters is obtained, the film is torn under the technological parameters in a test mode, and the static value in the film tearing process is measured and used as a real static value, so that one group of data in training data is obtained. Multiple sets of data may be obtained in this manner.
It is understood that each set of process parameters in the training data still includes parameters corresponding to the aforementioned various influencing factors. Namely, the parameters corresponding to the various process influence factors are respectively as follows: the film material type code K1, the film material position K2, the film tearing speed V, the fan power P and the fan action time T.
For each group of process parameters in the training data, a reasonable value range can be set for the parameters corresponding to each process influence factor in advance by combining with practical experience, and a corresponding step length is set for the process influence factor. And the parameters corresponding to the influence factors in every two adjacent groups of process parameters are separated by one step.
After the value range and the step length of the parameter corresponding to each influence factor are set, in the process of acquiring the training data, each group of process parameters can be automatically adjusted and acquired until the process parameters in all groups of training data are completely acquired.
For example, taking the process influence factor as the fan action time as an example, the training data of the parameter T corresponding to the fan action time is set as follows: in the value range of 1min-10min, the step length is set as follows: for 1min. The action time T of the fan contained in the obtained first group of process parameters is 1min; automatically acquiring a second group of process parameters by the step length of 1min, wherein the action time T of the fan contained in the second group of process parameters is 2min; \8230; by analogy, the action time T of the fan contained in the tenth group of process parameters is 10min.
In the same principle, the parameters of other influencing factors in each group of process parameters are also provided with corresponding value ranges and corresponding step lengths. And synchronously adjusting the parameters of other influence factors in the process of sequentially acquiring each group of process parameters based on the same mode of acquiring the action time of the fan. Finally, multiple sets of process parameters are determined.
In order to simplify the acquisition process of training data, the value range and step length of process influence factors which influence more stably can be set, and several groups of values are set as data supplement.
For example, for parameters corresponding to process influence factors of the film material type code K1, the film material position K2, the film tearing speed V, the fan power P and the fan action time T, the value of the film material type code K1 is fixed, and the rest parameters are main variable parameters influencing the electrostatic value. Therefore, the rest parameters are obtained by adopting the step length setting mode, and for the membrane material type code K1, several groups of specific values can be set according to different manufacturers or project data. Each group of specific values and any group of other parameters form a group of process parameters.
In this step, a plurality of sets of process parameters and real electrostatic values corresponding one to one are used as training data. In order to prevent the influence of data fluctuation on the model, the training data at least comprises 20 pairs of data pairs of the process parameters and the true static values, and the process parameters with larger fluctuation in the at least 20 pairs of data pairs are eliminated.
In step S102, all the training data obtained in step S101 are combined, each group of process parameters in the training data is sequentially input, for example, (K1, K2, V, P, T) is input, and the predicted electrostatic value corresponding to each group of process parameters can be output through the first model.
In step S103, after inputting the process parameters in the training data, for example, a gradient descent algorithm or a momentum gradient descent algorithm may be used to determine the loss values of the predicted static values and the corresponding true static values, and correspondingly adjust the model parameters in the first model.
And for the first model after the model parameters are adjusted, continuously inputting the rest process parameters in the training data until the difference or loss value between the predicted static value and the real static value output by the first model is in a set range, and considering that the first model is converged.
In this step, the adjustable model parameters may include, for example: weights, learning rates, training times, and neuron thresholds for each neural network layer in the first model.
In an exemplary embodiment, as shown in fig. 3, the method of the present embodiment may further include the following steps:
s210, calibrating the process parameters corresponding to the preset static values to obtain reference process parameters.
And S220, in response to the fact that the static value of the reference process parameter is kept in the reference range, determining to tear the film by using the reference process parameter.
The present embodiment may be, for example, an optimization step performed on the basis of the embodiment corresponding to fig. 1.
In step S210, further calibration of the process parameter corresponding to the preset electrostatic value determined in step S130 is implemented based on the threshold range set for the parameter corresponding to the multiple process influencing factors in the process parameter and/or according to the influence variation relationship of the multiple process influencing factors in the process parameter to the electrostatic value. The process numbers after calibration are used as reference process parameters.
For example, in the process parameters corresponding to the preset electrostatic values, a threshold range may be set for the parameter corresponding to each process influence factor, and the reference process parameter is obtained by determining whether the parameter is within the corresponding threshold range and performing calibration.
For another example, in the process parameters corresponding to the preset electrostatic values, the various process influence factors have different trends of influence (positive correlation or negative correlation) on the electrostatic values, and according to the influence change relationship, the process parameters can also be calibrated to obtain the reference process parameters.
In step S220, after the reference process parameter is obtained, the reference process parameter is still input to the first model, and the static value corresponding to the reference process parameter is output. And when the corresponding electrostatic value is still in the reference range, tearing the film by using the reference process parameters. In the step, the first model is used for verifying the reference process parameters, and the electrostatic value is always ensured to be in a proper range.
In this embodiment, it is intended to calibrate an unreasonable item in the process parameter corresponding to the preset electrostatic value, for example, if the film tearing speed V is too small in the process parameter corresponding to the preset electrostatic value, the film tearing speed is too slow, and even if the preset electrostatic value meets the requirement, the film tearing speed does not meet the production requirement. Therefore, the present embodiment can be used to calibrate and properly adjust the tearing speed V.
In an exemplary embodiment, when the step S210 "is calibrated based on the threshold ranges set for the parameters corresponding to the various process influence factors in the process parameters", the step S210 in this embodiment may include the following steps: s211, responding to the condition that at least one parameter of the preset process influence factors in the process parameters is out of the threshold range, adjusting the parameters corresponding to the preset process influence factors in the process parameters, and obtaining the reference process parameters.
In this embodiment, the plurality of process influencing factors include: film material type, film tearing position, film tearing speed, fan power and fan action time.
In step S211, a preset process impact factor is used for characterizing: in the actual film tearing process, factors having a great influence on production efficiency and productivity exist. And if the parameters of the preset process influence factor are out of the threshold value range, characterizing: taking this parameter reduces production efficiency or throughput. In this step, the preset process influence factors are: tear speed, fan power, or fan on time.
In one example, the predetermined process influencing factor is the tear film speed V. When calibrating the process parameter corresponding to the preset static value, calibrating whether the tearing speed V in the process parameter is out of the corresponding speed threshold range, wherein the threshold range corresponding to the tearing speed V is kept in the preferred speed interval (V1, V2) for example (generally not too small). When the film tearing speed is out of the threshold range, for example, the film tearing speed V is too small, the static electricity value will be kept in a small range, but the film tearing speed will be affected, and the productivity will be easily reduced. For example, if the tearing speed V is too low, the time T required for tearing the film is too long, even longer than the corresponding action time T of the blower, which is obviously unreasonable.
In this example, therefore, the tear speed V is adjusted to meet the production efficiency. For example, the tearing speed V is increased according to a set proportion, and other parameters in the process parameters are unchanged, so that reference process parameters are obtained.
In another example, the predetermined process impact factor is the fan action time T. When the process parameter corresponding to the preset static value is calibrated, whether the fan action time T in the process parameter exceeds a corresponding time threshold range is calibrated, wherein the threshold range corresponding to the fan action time T, for example, should be kept in the preferred speed interval (T1, T2) (generally, not too large). When the threshold range is exceeded, for example, the fan action time T is too long, the static electricity value will be kept in a small range, but the quality of the display screen will be affected.
Therefore, in this example, the fan operating time T is adjusted to meet the production efficiency. For example, the action time T of the fan is reduced by a set proportion, other parameters in the process parameters are unchanged, and reference process parameters are obtained.
In this embodiment, balance adjustment may be performed in combination with the process parameters determined by the first model and the actual production conditions, so as to obtain reasonable reference process parameters.
In an exemplary embodiment, when the step S210 "calibration according to the influence variation relationship of the plurality of process influence factors on the static electricity value" is performed, in this embodiment, the step S210 may further include the following steps:
s212, acquiring a second model.
And S214, calibrating the process parameters corresponding to the preset static value according to the second model to obtain the reference process parameters.
In step S212, the second model is determined based on the influence variation relationship between the plurality of process influencing factors and the electrostatic value in the process parameter and the influence variation relationship between the plurality of process influencing factors. The second model may be based on fitting experimental data for a number of process parameters; or a model obtained by machine training and learning according to training data of process parameters.
For multiple process influence factors in the process parameters, a preset process influence factor having a significant influence may be determined, for example, the preset process influence factor is: tear speed, fan power, or fan on time. According to the preset process influence factor and the influence of the preset process influence factor on the static value, determining a second model as follows: regression models were as follows:
E＝K(PαVβTε)+c
wherein E is the output of the regression model, i.e., the electrostatic value; k is a regression coefficient; alpha, beta and epsilon are regression index coefficients in sequence; c is a regression constant; v is the speed of tearing the film, P is the power of the fan, and T is the acting time of the fan.
In this step, the variation relationship between the several preset process influence factors and the static value can be obtained according to the second model. For example: the film tearing speed V is positively correlated with the static value E, and the fan power P and the fan action time T are negatively correlated with the static value E.
In step S214, according to the variation relationship between the preset influence factor and the static value represented by the second model and the influence relationship between the preset influence factors, the calibration process may include the following steps:
s2141, in response to the fact that the parameter of the first preset process influence factor in the process parameters is out of the threshold range, determining a second preset process influence factor according to the second model.
S2142, adjusting a parameter corresponding to a second preset process influence factor in the process parameters to obtain a reference process parameter.
In step S2141, according to the second model, the first predetermined process impact factor and the second predetermined process impact factor may be, for example: two factors having opposite influences on the electrostatic value. For example, the first predetermined process impact factor is: and (5) film tearing speed. When the parameter of the first preset process influence factor is outside the threshold range and the film tearing speed V is outside the corresponding speed threshold range (the film tearing speed V is too small), according to the second model, the second preset process influence factor can be determined as follows: fan power P or fan activation time T.
In this embodiment, the first predetermined process influence factor is taken as the film tearing speed V, and the second predetermined process influence factor is taken as the fan action time T.
In step S2142, when the parameter of the first predetermined process influencing factor is not reasonable, the parameter of the second predetermined process influencing factor can be adjusted to balance and adjust. In this step, when the film tearing speed V is too small, the fan action time T can be increased in this embodiment. And keeping other parameters in the process parameters unchanged, and combining the adjusted action time T of the fan to obtain reference process parameters.
The determined reference process parameters can still be input into the first model verification, and if the static value is kept in a reference range, the film is torn according to the reference process parameters; if the static value does not reach the reference range, the parameters of the first preset process influence factor or the second preset process influence factor can be continuously fine-tuned.
In other embodiments, on the basis of the mutual matching or correction of the two models, the static electricity value in the film tearing process can be reduced by adopting any one or more of the following additional modes:
(1) In the film tearing process, the position of the ion fan or the blowing angle is adjusted, and the effect of reducing the static electricity residue on the display screen is achieved.
(2) In the film tearing process, the number of the ion fans is increased, the static residue on the display screen is reduced at an accelerated speed, and the production efficiency is improved.
(3) And in the film tearing process, increasing or introducing x-ray and assisting an ion fan to reduce the electrostatic residue on the display screen together.
(4) In the film tearing process, a mode of reducing static electricity by heating the film tearing substrate is added, and the static electricity residue on the display screen is reduced.
According to the tear film control method provided in the above embodiment of the disclosure, on the basis of examining the residual static electricity on the display screen, the actual production line efficiency is also examined, and the calibration of the process parameters or the balance among a plurality of process parameters is performed. Thereby when promoting the display screen and going the static effect, effectively guarantee to produce line efficiency, reduce the influence of static to the display screen.
In an exemplary embodiment, the present disclosure also provides a tear film control device, as shown in fig. 4, the device of the present embodiment includes: an acquisition module 110, a first determination module 120, and a second determination module 130. The apparatus of the present embodiment is used to implement the method as shown in fig. 1. The obtaining module 110 is configured to obtain at least one set of process parameters, where each set of process parameters includes parameters corresponding to a plurality of process influencing factors. The first determining module 120 is configured to determine at least one static value according to at least one set of process parameters, where the at least one set of process parameters corresponds to the at least one static value one to one, and the static value is used to represent a residual static quantity on the surface of the display screen after the film is torn. The second determining module 130 is configured to determine, in response to that a preset electrostatic value of the at least one electrostatic value is within a reference range, to tear the film by using a process parameter corresponding to the preset electrostatic value.
In this embodiment, the first determining module is specifically configured to: and respectively inputting at least one group of process parameters into the trained first model, and outputting at least one static value.
In an exemplary embodiment, the apparatus of this embodiment further includes a training module for training the first model. The apparatus of the present embodiment is used to implement the method as shown in fig. 2. Wherein, the training module is specifically used for: acquiring training data, wherein the training data comprises: a plurality of groups of process parameters and a plurality of real static values which are in one-to-one correspondence with the plurality of groups of process parameters; inputting each group of process parameters in the training data into the first model respectively, and outputting a predicted static value corresponding to each group of process parameters; and adjusting the model parameters in the first model according to the difference between each output predicted static value and the corresponding real static value until the first model converges.
In an exemplary embodiment, as shown in fig. 5, the apparatus of the present embodiment includes: an acquisition module 110, a first determination module 120, a second determination module 130, and a calibration module 210. The apparatus of the present embodiment is used to implement the method as shown in fig. 3. Wherein the calibration module 210 is configured to: calibrating the process parameters corresponding to the preset electrostatic values based on the threshold value range set for the parameters corresponding to the multiple process influence factors in the process parameters and/or according to the influence change relationship of the multiple process influence factors in the process parameters on the electrostatic values, and obtaining reference process parameters; and determining to tear the film by using the reference process parameter in response to the static value of the reference process parameter being kept in the reference range.
In this embodiment, the calibration module 210 is specifically configured to: acquiring a second model, wherein the second model is determined based on the influence change relationship of various process influence factors in the process parameters on the electrostatic value and the influence change relationship among the various process influence factors; and calibrating the process parameters corresponding to the preset static value according to the second model to obtain reference process parameters.
Fig. 6 is a block diagram of an electronic device. The present disclosure also provides for an electronic device, for example, the device 500 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
The processing component 502 generally controls overall operation of the device 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 502 may include one or more processors 520 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 502 can include one or more modules that facilitate interaction between the processing component 502 and other components. For example, the processing component 502 can include a multimedia module to facilitate interaction between the multimedia component 508 and the processing component 502.
The memory 504 is configured to store various types of data to support operation at the device 500. Examples of such data include instructions for any application or method operating on device 500, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 504 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 508 includes a screen that provides an output interface between the device 500 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 500 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 510 is configured to output and/or input audio signals. For example, audio component 510 includes a Microphone (MIC) configured to receive external audio signals when device 500 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 504 or transmitted via the communication component 516. In some embodiments, audio component 510 further includes a speaker for outputting audio signals.
The I/O interface 512 provides an interface between the processing component 502 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 514 includes one or more sensors for providing various aspects of status assessment for the device 500. For example, the sensor assembly 514 may detect an open/closed state of the device 500, the relative positioning of the components, such as a display and keypad of the device 500, the sensor assembly 514 may also detect a change in the position of the device 500 or a component of the device 500, the presence or absence of user contact with the device 500, orientation or acceleration/deceleration of the device 500, and a change in the temperature of the apparatus 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
In an exemplary embodiment, the device 500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
A non-transitory computer readable storage medium, such as the memory 504 including instructions executable by the processor 520 of the device 500 to perform the method, is provided in another exemplary embodiment of the present disclosure. For example, the computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like. The instructions in the storage medium, when executed by a processor of the electronic device, enable the electronic device to perform the above-described method.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (12)
1. A method of controlling film tearing, comprising:
acquiring at least one group of process parameters, wherein each group of process parameters comprises parameters corresponding to various process influence factors;
determining at least one electrostatic value according to the at least one group of process parameters, wherein the at least one group of process parameters are in one-to-one correspondence with the at least one electrostatic value, and the electrostatic value is used for representing the residual electrostatic quantity on the surface of the display screen after the film is torn;
and determining to tear the film by adopting the process parameters corresponding to the preset electrostatic value in response to the preset electrostatic value in the at least one electrostatic value within the reference range.
2. The method of claim 1, wherein said determining at least one electrostatic value based on said at least one set of process parameters comprises:
and respectively inputting the at least one group of process parameters into the trained first model, and outputting the at least one static value.
3. The tear film control method of claim 2, further comprising training the first model to:
acquiring training data, wherein the training data comprises: a plurality of groups of process parameters and a plurality of real static values which are in one-to-one correspondence with the plurality of groups of process parameters;
inputting each group of process parameters in the training data to a first model respectively, and outputting a predicted static value corresponding to each group of process parameters;
and adjusting the model parameters in the first model according to the difference between each output predicted static value and the corresponding real static value until the first model converges.
4. The tear film control method of claim 1, further comprising:
calibrating the process parameters corresponding to the preset electrostatic values based on the threshold value ranges set for the parameters corresponding to the multiple process influence factors in the process parameters and/or according to the influence change relations of the multiple process influence factors in the process parameters on the electrostatic values to obtain reference process parameters;
and determining to tear the film by using the reference process parameter in response to the static electricity value of the reference process parameter being kept in the reference range.
5. The method for controlling the film tearing according to claim 4, wherein the calibrating the process parameter corresponding to the preset electrostatic value according to the influence variation relationship of the plurality of process influence factors on the electrostatic value in the process parameter to obtain the reference process parameter comprises:
obtaining a second model, wherein the second model is determined based on the influence change relationship of the multiple process influence factors on the electrostatic value in the process parameters and the influence change relationship among the multiple process influence factors;
and calibrating the process parameter corresponding to the preset static value according to the second model to obtain a reference process parameter.
6. A tear film control device, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring at least one group of process parameters, and each group of process parameters comprises parameters corresponding to various process influence factors;
the first determining module is used for determining at least one static value according to the at least one group of process parameters, wherein the at least one group of process parameters correspond to the at least one static value in a one-to-one mode, and the static value is used for representing the residual static quantity on the surface of the display screen after the film is torn;
and the second determining module is used for responding to the preset static value in the at least one static value in a reference range and determining that the film tearing is carried out by adopting the process parameter corresponding to the preset static value.
7. The tear film control device according to claim 6, wherein the first determining module is specifically configured to:
and respectively inputting the at least one group of process parameters into the trained first model, and outputting the at least one static value.
8. The tear film control device according to claim 7, further comprising a training module for training the first model, the training module being specifically configured to:
acquiring training data, wherein the training data comprises: a plurality of groups of process parameters and a plurality of real static values which are in one-to-one correspondence with the plurality of groups of process parameters;
inputting each group of process parameters in the training data to a first model respectively, and outputting a predicted static value corresponding to each group of process parameters;
and adjusting the model parameters in the first model according to the difference between each output predicted static value and the corresponding real static value until the first model converges.
9. The tear film control device of claim 6, further comprising: a calibration module to:
calibrating the process parameters corresponding to the preset electrostatic values based on the threshold value ranges set for the parameters corresponding to the multiple process influence factors in the process parameters and/or according to the influence change relations of the multiple process influence factors in the process parameters on the electrostatic values to obtain reference process parameters;
and determining to tear the film by using the reference process parameter in response to the static value of the reference process parameter being kept in the reference range.
10. The tear film control device of claim 9, wherein the calibration module is specifically configured to:
obtaining a second model, wherein the second model is determined based on the influence change relationship of the multiple process influence factors on the electrostatic value in the process parameters and the influence change relationship among the multiple process influence factors;
and calibrating the process parameters corresponding to the preset electrostatic value according to the second model to obtain reference process parameters.
11. An electronic device, comprising:
a processor;
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the tear film control method of any one of claims 1 to 5.
12. A non-transitory computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the tear film control method of any one of claims 1 to 5.
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