Method, device and client for predicting battery cover fit wrinkle risk
By obtaining the design parameters of the corner area of the battery cover, calculating the curvature, determining whether it exceeds the threshold, and predicting and adjusting the design parameters, the problem of wrinkles at the corners of the 3D glass battery cover is solved and the production yield is improved.
Patent Information
- Application Number
- CN202011582835.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-12-28
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2040-12-28
AI Technical Summary
When using 3D glass to make battery covers, the uneven corner areas of the battery covers are prone to forming fitting wrinkles, which affects the production yield and lacks effective prediction and prevention methods.
By obtaining the design parameters of each corner area of the battery cover, calculating the bending degree and judging whether it exceeds the preset threshold, it is determined whether there is a risk of fitting wrinkles, and the design parameters are adjusted according to the prediction results to reduce the risk.
Effectively predict the risk of battery cover wrinkles, improve production yield, and reduce defective product rate.
Smart Images

Figure CN114692233B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present disclosure relates to the technical field of terminals, and in particular, to a method and device for predicting the risk of battery cover fitting wrinkles and a client. BACKGROUND
[0002] In recent years, 3D glass has become the mainstream material for the battery cover of terminal devices due to its comfortable feel and perfect fitting ability. However, since glass is transparent and fragile, in order to achieve a decorative effect and prevent the battery cover from bursting, a protective film with a decorative pattern printed thereon needs to be attached to the 3D glass when the 3D glass is used to make the battery cover.
[0003] In recent years, in order to improve the visual effect, the middle frame design of terminal devices is becoming narrower, and accordingly, the bending depth design of the battery cover is becoming deeper, and the corner area of the battery cover is becoming more and more uneven. In this way, when the protective film is attached to the 3D glass, fitting wrinkles are extremely easy to occur in the uneven corner area, which seriously affects the generation yield of the battery cover. Therefore, it is urgently needed to propose a method to predict the fitting wrinkle risk of the battery cover when the battery cover is designed, and then guide the design and production of the battery cover based on the prediction result. SUMMARY
[0004] The present disclosure provides a method, device and client for predicting the fitting wrinkle risk of a battery cover to solve the deficiencies in the related art.
[0005] According to a first aspect of an embodiment of the present disclosure, a method for predicting the fitting wrinkle risk of a battery cover is provided, the method is applied to a client, and the method comprises:
[0006] In response to a fitting wrinkle prediction instruction for a battery cover to be predicted, design parameters corresponding to each to-be-predicted corner area of the battery cover to be predicted are obtained.
[0007] For each to-be-predicted corner area, a bending degree of the to-be-predicted corner area is calculated according to the design parameters, wherein the bending degree is used to represent the extrusion stress of the to-be-predicted corner area.
[0008] When the bending degree is greater than a preset threshold, it is determined that the to-be-predicted corner area has a fitting wrinkle risk.
[0009] According to a second aspect of the present disclosure, a device for predicting the fitting wrinkle risk of a battery cover is provided, the device comprises an obtaining module, a calculating module and a processing module, wherein:
[0010] The obtaining module is configured to, in response to a fitting wrinkle prediction instruction for a battery cover to be predicted, obtain design parameters corresponding to each to-be-predicted corner area of the battery cover to be predicted.
[0011] The computing module is configured to calculate, for each to-be-predicted corner region, a bending degree of the to-be-predicted corner region according to the design parameter, wherein the bending degree is used to represent extrusion stress of the to-be-predicted corner region.
[0012] The processing module is configured to determine that the to-be-predicted corner region has a risk of fit wrinkles when the comprehensive bending degree is greater than the preset threshold.
[0013] According to a third aspect of the present disclosure, a client for predicting a risk of fit wrinkles of a battery cover is provided, comprising:
[0014] a processor;
[0015] a memory for storing processor-executable instructions;
[0016] The processor is configured to implement any one of the methods provided in the first aspect of the present disclosure.
[0017] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, and the program is executed by a processor to implement any one of the methods provided in the first aspect of the present disclosure.
[0018] The technical solutions provided by the embodiments of the present disclosure can include the following beneficial effects:
[0019] As can be seen from the above embodiments, the method, device and client for predicting a risk of fit wrinkles of a battery cover provided by the present disclosure, in response to a fit wrinkle prediction instruction for a to-be-predicted battery cover, by obtaining design parameters corresponding to each to-be-predicted corner region of the to-be-predicted battery cover, and then for each to-be-predicted corner region, calculating a bending degree used to represent extrusion stress of the to-be-predicted corner region according to the design parameter, and determining that the to-be-predicted corner region has a risk of fit wrinkles when the bending degree is greater than a preset threshold. In this way, it can be predicted whether the to-be-predicted corner region of the to-be-predicted battery cover will produce fit wrinkles, and then the user can modify the design drawing based on the prediction result, which can effectively reduce the risk of fit wrinkles, and thus improve the yield of the battery cover.
[0020] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS
[0021] The accompanying drawings, which are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification, serve to explain the principles of the present disclosure.
[0022] Figure 1 is a three-dimensional structure schematic diagram of a battery cover according to an exemplary embodiment of the present disclosure;
[0023] Figure 2 is a schematic view of a corner region according to an exemplary embodiment of the present disclosure;
[0024] Figure 3 is a schematic view of a corner region according to another exemplary embodiment of the present disclosure;
[0025] Figure 4 is a flow chart of a method for predicting a battery cover wrinkle risk according to an exemplary embodiment of the present disclosure;
[0026] Figure 5 is a flow chart of another method for predicting a battery cover wrinkle risk according to an exemplary embodiment of the present disclosure;
[0027] Figure 6 is a flow chart of still another method for predicting a battery cover wrinkle risk according to an exemplary embodiment of the present disclosure;
[0028] Figure 7 is a flow chart of a method for determining a preset threshold according to an exemplary embodiment of the present disclosure;
[0029] Figure 8 is a structural schematic view of an apparatus for predicting a battery cover wrinkle risk according to an exemplary embodiment of the present disclosure;
[0030] Figure 9 is a structural schematic view of a client according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION
[0031] The exemplary embodiments will be described in detail herein with reference to the attached drawings. When the description below refers to accompanying drawings, a similar reference in all drawings indicates like or similar elements. The following exemplary embodiments described in the detailed description section are not meant to be an all-inclusive description of all aspects of the disclosure. Rather, they are merely examples that can be practiced with the disclosure as detailed in the appended claims.
[0032] The present disclosure provides a method, an apparatus and a client for predicting a battery cover wrinkle risk, so as to predict the battery cover wrinkle risk before generating the battery cover, and then guide the design and production of the battery cover through the prediction result.
[0033] The method and the apparatus for predicting a battery cover wrinkle risk provided by the present disclosure can be applied to a client, for example, can be applied to a computer, a mobile terminal and the like. The following will be described by taking the application to a computer as an example.
[0034] Several specific embodiments are given below to illustrate the technical solutions of the present disclosure. The following several specific embodiments can be combined, and the same or similar concepts will not be described in detail in some embodiments.
[0035] Before introducing the technical solutions provided by the present disclosure, the following first explains the battery cover and some concepts related to the present disclosure:
[0036] Specifically, the battery cover includes a 3D glass layer and a protective layer arranged in layers, wherein the protective layer includes one or more of a PET film layer, a UV texture film layer, a reflective film layer, and an ink layer arranged in layers.
[0037] For example, in an embodiment, the protective layer of the battery cover includes a PET film layer, a UV texture film layer, a reflective film layer, and an ink layer, and the thickness of each film layer can be: 3D glass layer: 0.5-0.8mm, PET film layer: 35μm / 50μm / 75μm, UV texture film layer: 10-14μm, reflective film layer: 50-800nm, ink layer: 30-40μm.
[0038] It should be noted that, in order to achieve a decorative effect, a decorative effect can be made on the PET film layer to obtain a decorated protective layer, and then the protective layer and the 3D glass layer are attached together by vacuum attachment technology.
[0039] The specific functions and effects of each film layer can be referred to the description in the related art, which will not be described here.
[0040] Figure 1 is a three-dimensional structural schematic diagram of a battery cover according to an exemplary embodiment of the present disclosure. The following will be described in combination with Figure 1 The design parameters of the battery cover are described as follows:
[0041] Referring to Figure 1 , the battery cover includes two long sides, two short sides, and four rounded corners.
[0042] Further, the corner region is a fan-shaped curved surface composed of an arc line passing through a first point on the long side and an arc line passing through a second point on the short side.
[0043] Among them, the first point on the long side is the tangent point of the long side and the rounded corner, and the second point on the short side is the tangent point of the short side and the rounded corner.
[0044] For the convenience of subsequent description, the vertex at the 90° angle in the corner region is denoted as the third point. In addition, the design parameters corresponding to the corner region can include the long side arc length, the short side arc length, and the long side arc length and the short side arc length in the specified plane. The projection length of the short side arc length in the specified plane. Among them, the specified plane is the plane on which the middle flat region of the battery cover is located.
[0045] Figure 2 is a schematic view of a corner region according to an exemplary embodiment of the present disclosure. Figure 3 is a schematic view of a corner region according to another exemplary embodiment of the present disclosure. Please refer to Figures 1 to 3 , the long-side arc length is the arc length from the first point to the third point on the battery cover body (on the quasi-fan-shaped curved surface); and the short-side arc length is the arc length from the second point to the third point on the battery cover body.
[0046] In addition, the design parameters of the corner region also include the long-side (short-side) bending depth, the long-side (short-side) bending angle, the arc length of the rounded corner, and the minimum radius.
[0047] The above concepts are explained as follows:
[0048] Please continue to refer to Figure 3 The long-side bending depth refers to the vertical distance from the first point to the specified plane (the plane on which the middle flat region of the battery cover is located). Correspondingly, the short-side bending depth refers to the vertical distance from the second point to the plane on which the middle flat region of the battery cover is located.
[0049] The long-side (short-side) bending angle refers to the included angle between the tangent line passing through the first point (second point) and the specified plane (the plane on which the middle flat region of the battery cover is located).
[0050] The arc length of the rounded corner refers to the arc length from the first point to the second point on the battery cover body.
[0051] The minimum radius refers to the minimum radius of the quasi-fan-shaped curved surface corresponding to the corner region.
[0052] After introducing the design parameters corresponding to the battery cover, the technical solutions provided by the present disclosure are described in detail as follows:
[0053] Figure 4 is a flowchart of a method for predicting the wrinkle risk of a battery cover according to an exemplary embodiment of the present disclosure. Please refer to Figure 4 The method provided by the present embodiment can include:
[0054] S401, in response to a fitting wrinkle prediction instruction for a to-be-predicted battery cover, obtaining the design parameters corresponding to each to-be-predicted corner region of the to-be-predicted battery cover.
[0055] The to-be-predicted battery cover is a battery cover that has been designed and has not been produced.
[0056] Specifically, in one embodiment, the fitting wrinkle prediction instruction for the battery cover to be predicted may carry the design parameters corresponding to each corner area to be predicted of the battery cover to be predicted. In this step, the design parameters can be obtained from the fitting wrinkle prediction instruction. For example, in one embodiment, the client provides a prediction control. When the prediction control is triggered, the client can output an input interface to the user to instruct the user to input the design parameters corresponding to each corner area to be predicted of the battery cover to be predicted on the input interface. Accordingly, a submit control can also be provided on the input interface. When the user clicks the submit control, the client generates a fitting wrinkle prediction instruction for the battery cover to be predicted based on the design parameters corresponding to each corner area to be predicted of the battery cover to be predicted input by the user.
[0057] Furthermore, in another embodiment, the wrinkle prediction instruction for the battery cover to be predicted can include a 3D design file of the battery cover to be predicted. In this step, the design parameters corresponding to each corner region to be predicted of the battery cover to be predicted can be obtained based on the 3D design file of the battery cover to be predicted. For example, a user can first input the 3D design file of the battery cover to be predicted, and then trigger the wrinkle prediction instruction for the battery cover to be predicted based on the 3D design file.
[0058] Referring to the previous introduction to design parameters, when obtaining the design parameters corresponding to each corner region of the battery cover to be predicted based on the 3D design drawing, the following method can be used: First, find the first and second points in the 3D design drawing, and then find the four corner regions based on the first and second points. Next, the design parameters corresponding to the corner regions can be measured. The specific implementation principles for measuring the design parameters corresponding to the corner regions can be found in the description of the relevant art and will not be repeated here.
[0059] S402. For each corner region to be predicted, calculate the curvature of the corner region to be predicted according to the design parameters; wherein the curvature is used to characterize the extrusion stress of the corner region to be predicted.
[0060] The extrusion stress of the corner region to be predicted represents the extrusion stress when the corner region is contracted from a plane to a three-dimensional form. Furthermore, the bending degree is represented by a bend ratio, which may include a long side bend ratio, a short side bend ratio, and / or a comprehensive bend ratio. For example, in one embodiment, the bend ratio includes a long side bend ratio; in another embodiment, the bend ratio includes a comprehensive bend ratio; in another embodiment, the bend ratio includes a long side bend ratio and a short side bend ratio.
[0061] Specifically, the design parameters corresponding to the corner region include a long-side arc length corresponding to the corner region, a short-side arc length corresponding to the corner region, a long-side projection length of the long-side arc length on a specified plane, and a short-side projection length of the short-side arc length on the specified plane; the specified plane is a plane on which a middle flat region of the battery cover is located. The calculation process of the bending ratio can include:
[0062] (1) calculating a long-side bending ratio of the corner region according to the long-side arc length and the long-side projection length.
[0063] Specifically, the long-side bending ratio can be calculated according to the following formula:
[0064] Long-side bending ratio = (long-side arc length - long-side projection length) / long-side projection length * 100%
[0065] (2) calculating a short-side bending ratio of the corner region according to the short-side arc length and the short-side projection length.
[0066] Specifically, the short-side bending ratio can be calculated according to the following formula:
[0067] Short-side bending ratio = (short-side arc length - short-side projection length) / short-side projection length * 100%
[0068] (3) determining a comprehensive bending degree of the corner region as a sum of the long-side bending ratio and the short-side bending ratio.
[0069] For example, in an embodiment, the design parameters corresponding to a to-be-predicted corner region are as follows: the long-side arc length is 16.151 mm, the long-side projection length is 15.356 mm, the short-side arc length is 15.564 mm, and the short-side projection length is 15.468. At this time, it is calculated and determined that the long-side bending degree of the to-be-predicted corner region is 5.2%, the short-side bending degree is 0.6%, and the comprehensive bending degree is 5.8%.
[0070] S403, when the bending degree is greater than a preset threshold, determining that the to-be-predicted corner region has a risk of fit wrinkles.
[0071] It should be noted that the preset threshold is set according to actual needs, and is a critical bending degree that is not easy to produce fit wrinkles. For example, the preset threshold can be determined according to actual production experience. In addition, the preset thresholds corresponding to different corner regions are the same.
[0072] Further, when the bending degree is represented by a plurality of bending ratios, the preset threshold includes a threshold corresponding to each bending ratio, and when at least one bending ratio is greater than the threshold corresponding thereto, it is considered that the bending degree is greater than the preset threshold.
[0073] For example, when the bending degree is represented by the long-side bending ratio and the short-side bending ratio, the preset threshold value includes a long-side threshold value and a short-side threshold value, and the corner region to be predicted is considered to have a risk of fit wrinkles when the long-side bending ratio is greater than the long-side threshold value or the short-side bending ratio is greater than the short-side threshold value.
[0074] For example, when the bending degree is represented by the long-side bending ratio and the short-side bending ratio, the preset threshold value includes a long-side threshold value and a short-side threshold value, and the corner region to be predicted is considered to have a risk of fit wrinkles when the long-side bending ratio is greater than the long-side threshold value or the short-side bending ratio is greater than the short-side threshold value.
[0075] For example, it is found through research that when the comprehensive bending degree of a corner region to be predicted is less than 8%, the corner region to be predicted is less likely to have fit wrinkles, and the preset threshold value can be set to 8%. The following describes an example in which the preset threshold value is 8%.
[0076] For example, when the bending degree is represented by the long-side bending ratio and the short-side bending ratio, the preset threshold value includes a long-side threshold value and a short-side threshold value, and the corner region to be predicted is considered to have a risk of fit wrinkles when the long-side bending ratio is greater than the long-side threshold value or the short-side bending ratio is greater than the short-side threshold value.
[0077] For example, in another embodiment, the design parameters corresponding to a corner region to be predicted are as follows: the long-side arc length is 12.361 mm, the long-side projected length is 11.618 mm, the short-side arc length is 9.701 mm, and the short-side projected length is 9.471 mm. The comprehensive bending degree of the corner region to be predicted is calculated to be 8.1%. It is determined that the comprehensive bending degree of the corner region to be predicted is greater than the preset threshold value, and the corner region to be predicted is relatively bent and has a risk of fit wrinkles.
[0078] The method provided in this embodiment responds to a fit wrinkle prediction instruction for a battery cover to be predicted, obtains design parameters corresponding to each corner region to be predicted of the battery cover to be predicted, and then for each corner region to be predicted, calculates a bending degree for representing extrusion stress of the corner region to be predicted according to the design parameters, and determines that the corner region to be predicted has a risk of fit wrinkles when the bending degree is greater than the preset threshold value. In this way, whether the corner region to be predicted of the battery cover to be predicted will have fit wrinkles can be predicted, and then the user can modify the design file based on the prediction result, which can effectively reduce the risk of fit wrinkles and improve the yield of the battery cover.
[0079] Figure 5 FIG. 1 is a flowchart of another method for predicting a risk of fit wrinkles of a battery cover according to an example embodiment of the present disclosure. Please refer to FIG. 1. Figure 5 The method provided in this embodiment, on the basis of the above embodiment, if it is determined that the corner region to be predicted has a risk of fit wrinkles, the method can further include:
[0080] S501, obtaining target standard design parameters corresponding to the corner region to be predicted from a preset standard design parameter library.
[0081] It should be noted that when the battery cover is designed and generated according to the standard design parameters recorded in the preset standard design parameter library, the battery cover is not prone to generate the fit wrinkle. In addition, the standard design parameter library can be determined based on the fit wrinkle conditions and the design parameters of the corner regions of the plurality of generated battery covers.
[0082] In addition, as introduced above, the battery cover includes four corner regions, and the standard design parameters corresponding to each corner region can be the same or different. In this embodiment, it is not limited. Further, when the standard design parameters corresponding to each corner region recorded in the standard design parameter library are different, the target standard design parameter corresponding to the to-be-predicted corner region can be obtained from the standard design parameter library based on the identification of the to-be-predicted corner region.
[0083] For example, Table 1 is a schematic diagram of a standard design parameter library according to an exemplary embodiment of the present disclosure. Referring to Table 1, in the example shown in Table 1, the standard design parameters corresponding to each corner region are the same.
[0084] Table 1 Standard design parameter library
[0085]
[0086] Wherein, the specific concept of each design parameter in the standard design parameter library has been explained above, and will not be repeated here.
[0087] S502, adjusting the design parameter according to the target standard design parameter, so that the design parameter is within the target standard design parameter.
[0088] In specific implementation, the standard design parameter under each dimension can be compared with the design parameter under the dimension, and then when the comparison is inconsistent, the design parameter under the dimension is adjusted, so that the adjusted design parameter is within the target design parameter.
[0089] Optionally, in an embodiment, the target standard design parameter can also be output to instruct the designer to modify the three-dimensional design file of the battery cover based on the output target standard design parameter.
[0090] In combination with the above example, for example, Table 1 can be output. In this way, the designer can modify the design file based on the target standard design parameter to reduce the risk of fit wrinkles.
[0091] The method provided in the embodiment can modify the design parameters of the battery cover based on the target standard design parameters, and then guide the design and production of the battery cover based on the modified design parameters, so that the risk of fitting wrinkles can be avoided, and the yield of the battery cover can be improved.
[0092] Figure 6 is a flowchart of another method for predicting the risk of fitting wrinkles of a battery cover according to an example embodiment of the disclosure. Please refer to Figure 6 The method provided in the embodiment can include:
[0093] S601, in response to a fitting wrinkle prediction instruction for a battery cover to be predicted, based on a three-dimensional design file of the battery cover to be predicted, obtaining design parameters corresponding to each predicted corner region of the battery cover to be predicted.
[0094] S602, for each predicted corner region, calculating the comprehensive bending degree of the predicted corner region according to the design parameters; wherein the comprehensive bending degree is used to represent the extrusion stress of the predicted corner region.
[0095] S603, determining whether the comprehensive bending degree is greater than a preset threshold, if not, executing step S604, if yes, executing step S605.
[0096] S604, determining that the predicted corner region does not have a fitting wrinkle risk.
[0097] S605, determining that the predicted corner region has a fitting wrinkle risk.
[0098] S606, obtaining target standard design parameters corresponding to the predicted corner region from a preset standard design parameter library.
[0099] For specific implementation processes and principles of steps S601 to S606, please refer to the description in the previous embodiments, which will not be repeated here.
[0100] S607, for the design parameters of the specified dimension corresponding to the predicted corner region, comparing the design parameters of the dimension with the target standard design parameters of the dimension in the target standard design parameters.
[0101] S608, if the two do not match, modifying the design parameters of the dimension according to the target standard design parameters of the dimension.
[0102] It should be noted that the design parameters of the specified dimensions can be at least one of the following design parameters: long side bending depth, short side bending depth, long side bending angle, short side bending angle, long side projection length, short side projection length, arc length of the round corner, and minimum radius.
[0103] Specifically, the specified dimensions are set according to actual needs, which are not limited in the embodiment. In addition, the specified dimensions can be pre-specified, or can be specified by the user when adjusting the design parameters. For example, in an embodiment, before adjusting the design parameters, all the dimensions shown in Table 1 can be displayed to the user, and then the dimensions selected by the user are determined as the specified dimensions.
[0104] For example, in an embodiment, the specified dimensions are the long side bending depth, the long side bending angle, and the minimum radius. At this time, it is determined whether the long side bending depth corresponding to the to-be-predicted corner region matches the long side bending depth shown in Table 1, whether the long side bending depth corresponding to the to-be-predicted corner region matches the long side bending angle shown in Table 1, and whether the minimum radius corresponding to the to-be-predicted corner region matches the minimum radius shown in Table 1. For another example, it is determined that the minimum radius does not match. At this time, the minimum radius corresponding to the to-be-predicted corner region can be modified so that the modified minimum radius is less than 4 mm.
[0105] Further, in an embodiment, the minimum radius in Table 1 can also be output. For example, in an embodiment, the following information can be output: “The minimum radius should be less than 4 mm”.
[0106] The method provided in the embodiment can, when modifying the design parameters, compare the design parameters of the specified dimensions corresponding to the to-be-predicted corner region with the target standard design parameters of the dimensions in the target standard design parameters, and then modify the design parameters of the dimensions according to the target standard design parameters of the dimensions when the two do not match. In this way, only the design parameters of the specified dimensions are adjusted, which can meet the needs of designers.
[0107] Optionally, in an embodiment, the method for determining the preset threshold value includes determining the preset threshold value according to the design parameters of a plurality of target battery covers with known fitting wrinkle conditions.
[0108] Specifically, the target battery cover can be a battery cover that has been generated, and the fitting wrinkle conditions of each target corner region of the target battery cover are known.
[0109] In the embodiment, the preset threshold value is determined according to the design parameters of a plurality of target battery covers with known wrinkle conditions, and then the prediction is performed according to the preset threshold value. In this way, the accuracy of the prediction can be improved.
[0110] Figure 7is a flow chart of a method for determining a preset threshold according to an exemplary embodiment of the present disclosure. Please refer to Figure 7 On the basis of the above embodiments, the determination process of the preset threshold can include:
[0111] S701, for each target corner region of each target battery cover, calculate the comprehensive bending degree of the target corner region according to the design parameters corresponding to the target corner region.
[0112] Specifically, the calculation method of the comprehensive bending degree of the target corner region is the same as the calculation method of the comprehensive bending degree of the to-be-predicted corner region described above, which will not be described here.
[0113] S702, determine the preset threshold according to the comprehensive bending degree and the wrinkle condition of each target corner region.
[0114] In an embodiment, the preset threshold can be determined according to the following method:
[0115] (1) Based on the fitting wrinkle condition of each target corner region, the target corner region is divided into a first type of corner region without fitting wrinkle and a second type of corner region with fitting wrinkle.
[0116] For example, in an embodiment, the preset threshold can be determined according to 5 target battery covers. The fitting wrinkle condition and the comprehensive bending degree of each target corner region of the 5 target battery covers are shown in Table 2:
[0117] Table 2
[0118]
[0119] It should be noted that the upper corner in Table 2 refers to the two corner regions of the battery cover close to the camera area; the lower corner refers to the two corner regions of the battery cover close to the charging port, and in the example shown in Table 2, the battery cover is an axisymmetric figure with the axis in the length direction as the axis of symmetry. Therefore, in the example shown in Table 2, the comprehensive bending degrees of the two corner regions close to the camera area are the same, and the comprehensive bending degrees of the two corner regions close to the charging port are the same.
[0120] In combination with the example shown in Table 2, in this step, the 10 corner regions shown in Table 2 can be divided into the following two types: the first type of corner region: upper corner A1, lower corner A2, upper corner D1 and lower corner D2; the second type of corner region: upper corner B1, lower corner B2, upper corner C1, lower corner C2, upper corner E1 and lower corner E2.
[0121] (2) Find the maximum value of the comprehensive bending degree from the comprehensive bending degrees of the first type of corner region, and find the minimum value of the comprehensive bending degree from the comprehensive bending degrees of the second type of corner region.
[0122] For example, in the example shown in Table 2, the maximum value is determined to be 7.6%, and the minimum value is determined to be 7.8%.
[0123] (3) According to the maximum value and the minimum value, the preset threshold is determined.
[0124] For example, in an embodiment, it can be first judged whether the maximum value is less than the minimum value. If yes, the maximum value or any value between the maximum value and the minimum value is determined as the preset threshold, and when the maximum value is not less than the minimum value, the minimum value is determined as the preset threshold.
[0125] Further, if the maximum value is less than the minimum value, it can be further judged whether the distance difference between the two is less than a specified value (the specified value is set according to actual needs, for example, it can be 1%), if yes, the minimum value is determined as the preset threshold, and if no, any value (for example, it can be the average of the two) between the maximum value and the minimum value is determined as the preset threshold.
[0126] For example, in the example shown in Table 2, the maximum value is 7.6%, and the minimum value is 7.8%. At this time, the preset threshold can be determined to be 7.6%. For another example, in another embodiment, the maximum value is 5.8%, and the minimum value is 8.2%. At this time, the preset threshold can be determined to be 7%.
[0127] The embodiment provides a method for determining a preset threshold. Through the method, the preset threshold can be determined based on design parameters of a plurality of target battery covers with known fitting wrinkle conditions, and then whether a to-be-predicted corner region of a to-be-predicted battery cover has a fitting wrinkle risk is predicted based on the preset threshold. In this way, since the preset threshold is determined based on the design parameters of the plurality of target battery covers with known fitting wrinkle conditions, the accuracy is high when the prediction is subsequently performed based on the preset threshold.
[0128] Corresponding to the foregoing embodiments of the method for predicting the fitting wrinkle risk of the battery cover, the disclosure also provides embodiments of a device for predicting the fitting wrinkle risk of the battery cover.
[0129] Figure 8 FIG. 1 is a structural schematic diagram of a device for predicting a fitting wrinkle risk of a battery cover according to an exemplary embodiment of the disclosure. Please refer to FIG. 1, Figure 8 The device provided in the embodiment can be applied to a client, and can include an acquisition module 810, a calculation module 820, and a processing module 830.
[0130] The acquisition module 810 is configured to, in response to a fitting wrinkle prediction instruction for a to-be-predicted battery cover, acquire design parameters corresponding to each to-be-predicted corner region of the to-be-predicted battery cover.
[0131] The computing module 820 is configured to calculate, for each to-be-predicted corner region, a bending degree of the to-be-predicted corner region according to the design parameters, wherein the bending degree is used to represent the extrusion stress of the to-be-predicted corner region.
[0132] The processing module 830 is configured to determine that the to-be-predicted corner region has a risk of fit wrinkles when the bending degree is greater than the preset threshold.
[0133] The device of the embodiment can be used to perform Figure 4 The technical solutions of the method embodiments have similar implementation principles and technical effects, and details are not described herein.
[0134] Further, the bending degree is represented by a bending ratio, and the bending ratio includes a long-side bending ratio and / or a short-side bending ratio and / or a comprehensive bending ratio.
[0135] Further, the processing module 820 is further configured to, when it is determined that the to-be-predicted corner region has a risk of fit wrinkles, acquire target standard design parameters corresponding to the to-be-predicted corner region from a preset standard design parameter library, and adjust the design parameters according to the target standard design parameters, so that the design parameters are within the target standard design parameters.
[0136] Further, the processing module 820 is further configured to, for the design parameters of a specified dimension corresponding to the to-be-predicted corner region, compare the design parameters of the dimension with target standard design parameters of the dimension in the target standard design parameters, and modify the design parameters of the dimension according to the target standard design parameters of the dimension when the two do not match.
[0137] Further, the processing module 820 is further configured to determine the preset threshold according to design parameters of target battery covers of a plurality of known fit wrinkle conditions.
[0138] Further, the processing module 820 is further configured to, for each target corner region of each target battery cover, calculate a comprehensive bending degree of the target corner region according to design parameters corresponding to the target corner region, and determine the preset threshold according to the comprehensive bending degrees of each target corner region and the fit wrinkle conditions.
[0139] Further, the acquisition module 810 is specifically configured to acquire the design parameters corresponding to each to-be-predicted corner region of the to-be-detected battery cover based on a three-dimensional design file of the to-be-predicted battery cover.
[0140] Further, the specified dimension includes design parameters of at least one of the following dimensions: long-side bending depth, short-side bending depth, long-side bending angle, short-side bending angle, long-side projection length, short-side projection length, arc length of a round corner, and minimum radius.
[0141] Further, the design parameters corresponding to the corner region include a long-side arc length corresponding to the corner region, a short-side arc length corresponding to the corner region, a long-side projection length of the long-side arc length on a specified plane, and a short-side projection length of the short-side arc length on the specified plane; the specified plane is a plane on which a middle flat region of the battery cover is located; the calculation module 820 is specifically configured to:
[0142] calculate a long-side bending degree of the corner region according to the long-side arc length and the long-side projection length;
[0143] calculate a short-side bending degree of the corner region according to the short-side arc length and the short-side projection length;
[0144] determine a comprehensive bending degree of the corner region as a sum of the long-side bending degree and the short-side bending degree.
[0145] Further, the calculation process of the long-side bending ratio and the short-side bending ratio includes:
[0146] the long-side bending ratio is calculated according to the following formula:
[0147] long-side bending ratio=(long-side arc length-long-side projection length) / long-side projection length*100%;
[0148] the short-side bending ratio is calculated according to the following formula:
[0149] short-side bending ratio=(short-side arc length-short-side projection length) / short-side projection length*100%.
[0150] As to the device in the above-described embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments of the method, and will not be described in detail here.
[0151] As to the device embodiments, since they basically correspond to the method embodiments, the relevant parts refer to the part of the method embodiments. The device embodiments described above are merely illustrative, wherein the modules described as separate components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, that is, they can be located in one place, or distributed on multiple network modules. According to actual needs, some or all of the modules can be selected to achieve the purpose of the present disclosure. Those skilled in the art can understand and implement it without creative labor.
[0152] The embodiments of the present disclosure also propose a client for predicting the risk of battery cover fitting wrinkles, comprising:
[0153] a processor;
[0154] a memory for storing processor-executable instructions;
[0155] The processor is configured to implement the method according to any one of the above embodiments.
[0156] The embodiments of the present disclosure also provide a computer readable storage medium, having stored thereon a computer program, which when executed by a processor, implements the method according to any one of the above embodiments.
[0157] Figure 9 is a structural schematic diagram of a client according to an exemplary embodiment of the present disclosure. The client 900 can be a mobile terminal, a computer, etc.
[0158] Referring to Figure 9 , the client 900 can include one or more of the following components: a processing component 902, a memory 904, a power supply component 906, a multimedia component 908, an audio component 910, an input / output (I / O) interface 912, a sensor component 914, and a communication component 916.
[0159] The processing component 902 usually controls overall operations of the client 900, such as operations associated with displaying, making phone calls, data communications, camera operations and recording operations. The processing component 902 can include one or more processors 920 to execute instructions to complete all or part of steps of the above methods. In addition, the processing component 902 can include one or more modules to facilitate the interaction between the processing component 902 and other components. For example, the processing component 902 can include a multimedia module to facilitate the interaction between the multimedia component 908 and the processing component 902.
[0160] The memory 904 is configured to store various types of data to support operations of the client 900. Examples of these data include instructions for any application or method operating on the client 900, contact data, phonebook data, messages, pictures, videos, etc. The memory 904 can be implemented by any type of volatile or non-volatile storage devices or a combination thereof, 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 storage, flash memory, magnetic disk or optical disk.
[0161] The power supply component 906 provides power for various components of the client 900. The power supply component 906 can include a power supply management client, one or more power supplies, and other components associated with generating, managing and distributing power for the client 900.
[0162] The multimedia component 908 includes a screen providing an output interface between the client 900 and a user. In some embodiments, the screen includes a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touch, swiping, and gestures on the touch panel. The touch sensors can not only sense a boundary of a touch or swiping action, but also detect duration and pressure related to the touch or swiping action. In some embodiments, the multimedia component 908 includes a front camera and / or a rear camera. When the client 900 is in an operation mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front and rear camera can be a fixed optical lens client or have a focal length and optical zoom ability.
[0163] The audio component 910 is configured to output and / or input audio signals. For example, the audio component 910 includes a microphone (MIC) to receive an external audio signal when the client 900 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal can be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 further includes a speaker for outputting audio signals.
[0164] The I / O interface 912 provides an interface between the processing component 902 and peripheral interface modules, which can be a keypad, a click wheel, buttons, and the like. The buttons can include, but are not limited to, a home button, a volume button, a start button, and a lock button.
[0165] The sensor component 914 includes one or more sensors to provide various state assessments for the client 900. For example, the sensor component 914 can detect an open / closed state of the client 900, relative positioning of components, such as a display and a keypad of the client 900, a change in position of the client 900 or a component of the client 900, presence or absence of user contact with the client 900, a change in orientation of the client 900 or acceleration / deceleration of the client 900, and a temperature change of the client 900. The sensor component 914 can include a proximity sensor configured to detect presence of a nearby object without any physical touch. The sensor component 914 can further include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 914 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
[0166] The communication component 916 is configured to facilitate wired or wireless communication between the client 900 and other devices. The client 900 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, 4G LTE, 5G NR, or a combination thereof. In an example embodiment, the communication component 916 receives broadcast signals or broadcast-related information from external broadcast management servers via a broadcast channel. In an example embodiment, the communication component 916 further includes a Near Field Communication (NFC) module to facilitate close proximity communication. For example, the NFC module can be implemented based on Radio Frequency Identification (RFID) techniques, infrared data association (IrDA) techniques, ultra-wideband (UWB) techniques, Bluetooth (BT) techniques, and other techniques.
[0167] In an example embodiment, the client 900 can be implemented with 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 methods described in any one of the embodiments above.
[0168] In an example embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 904 comprising instructions, is also provided, which when executed by the processor 920 of the client 900, causes the methods described above to be completed. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disc, and an optical data storage device, etc.
[0169] Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the features disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such features to the extent that they are not disclosed in the prior art. The specification and examples are to be regarded as illustrative only, and the true scope and spirit of the present disclosure are indicated by the following claims.
[0170] It should be understood that the present disclosure is not limited to the precise structures described and shown in the drawings, and that various modifications and changes can be made to the embodiments without departing from the scope of the present disclosure. The scope of the present disclosure is limited only by the claims that follow.
Claims
1. A method for predicting the risk of wrinkles in battery cover fitting, characterized in that: The method is applied to a client, and includes: In response to a fitting wrinkle prediction instruction for a battery cover to be predicted, obtaining design parameters corresponding to each to-be-predicted corner area of the battery cover to be predicted; For each corner region to be predicted, calculating the curvature of the corner region to be predicted according to the design parameters; wherein the curvature is used to characterize the extrusion stress of the corner region to be predicted; When the curvature is greater than a preset threshold, it is determined that the corner area to be predicted has a risk of fitting wrinkles; The bending degree is characterized by a bending ratio, and the bending ratio includes a long side bending ratio and / or a short side bending ratio and / or a comprehensive bending ratio; The design parameters corresponding to the corner area include the arc length of the long side corresponding to the corner area, the arc length of the short side corresponding to the corner area, and the long side projection length of the long side arc length on a specified plane and the short side projection length of the short side arc length on the specified plane; the specified plane is the plane where the flat area in the middle of the battery cover is located; the calculation process of the bend ratio includes: Calculating the long side bending ratio of the corner area according to the long side arc length and the long side projection length; Calculating the short side bending ratio of the corner area according to the short side arc length and the short side projection length; The sum of the long side bending ratio and the short side bending ratio is determined as the comprehensive bending ratio of the corner area.
2. The method according to claim 1, characterized in that If it is determined that the corner area to be predicted has a risk of fitting wrinkles, the method further includes: Obtaining target standard design parameters corresponding to the corner area to be predicted from a preset standard design parameter library; The design parameters are adjusted according to the target standard design parameters so that the design parameters are within the target standard design parameters.
3. The method according to claim 2, characterized in that The adjusting the design parameters according to the target standard design parameters includes: For the design parameters of a specified dimension corresponding to the corner area to be predicted, comparing the design parameters of the dimension with the target standard design parameters under the dimension; If the two do not match, the design parameters of this dimension are modified according to the target standard design parameters under this dimension.
4. The method according to claim 1, wherein The method for determining the preset threshold includes: The preset threshold is determined according to design parameters of a plurality of target battery covers with known wrinkle conditions.
5. The method according to claim 4, characterized in that The step of determining the preset threshold value based on a plurality of design parameters of a target battery cover with known wrinkle conditions includes: For each target corner area of each target battery cover, calculating the comprehensive curvature of the target corner area according to the design parameters corresponding to the target corner area; The preset threshold is determined according to the comprehensive bending degree and fitting wrinkle condition of each target corner area.
6. The method according to claim 1, characterized in that The obtaining of design parameters corresponding to each corner area of the battery cover to be predicted includes: Based on the three-dimensional design drawing of the battery cover to be predicted, design parameters corresponding to each corner area to be predicted of the battery cover to be predicted are obtained.
7. The method according to claim 3, characterized in that The specified dimensions include design parameters of at least one of the following dimensions: long side bending depth, short side bending depth, long side bending angle, short side bending angle, long side projection length, short side projection length, fillet arc length, and minimum radius.
8. The method according to claim 1, characterized in that The calculation process of the long side bend ratio and the short side bend ratio includes: The long side bend ratio is calculated according to the following formula: Long side bending ratio = (long side arc length - long side projection length) / long side projection length * 100%; The short side bending ratio is calculated according to the following formula: Short side bending ratio = (short side arc length - short side projection length) / short side projection length * 100%.
9. The method according to claim 1, characterized in that The battery cover includes a stacked 3D glass layer and a protective layer, wherein the protective layer includes one or more layers of a stacked PET film layer, a UV texture film layer, a reflective film layer and an ink layer.
10. A device for predicting the risk of wrinkles in battery cover fitting, characterized in that: The device is applied to a client and includes an acquisition module, a calculation module and a processing module, wherein: The acquisition module is configured to acquire design parameters corresponding to each corner region to be predicted of the battery cover to be predicted in response to a fitting wrinkle prediction instruction for the battery cover to be predicted; The calculation module is used to calculate the curvature of each corner region to be predicted according to the design parameters; wherein the curvature is used to characterize the extrusion stress of the corner region to be predicted; The processing module is configured to determine that the corner region to be predicted has a risk of lamination wrinkles when the curvature is greater than a preset threshold; The bending degree is characterized by a bending ratio, and the bending ratio includes a long side bending ratio and / or a short side bending ratio and / or a comprehensive bending ratio; The design parameters corresponding to the corner area include the arc length of the long side corresponding to the corner area, the arc length of the short side corresponding to the corner area, and the long side projection length of the long side arc length on a specified plane and the short side projection length of the short side arc length on the specified plane; the specified plane is the plane where the flat area in the middle of the battery cover is located; the calculation process of the bend ratio includes: Calculating the long side bending ratio of the corner area according to the long side arc length and the long side projection length; Calculating the short side bending ratio of the corner area according to the short side arc length and the short side projection length; The sum of the long side bending ratio and the short side bending ratio is determined as the comprehensive bending ratio of the corner area.
11. A client for predicting the risk of wrinkles in battery cover fitting, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to implement the method according to any one of claims 1 to 9.
12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 9 is implemented.
Citation Information
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