A method, device, equipment and medium for optimizing the anti-interference performance of flexible equipment

Abstract

The present invention discloses a method, device, equipment and medium for optimizing the anti-interference performance of a flexible device, the method comprising: determining material optimization information and circuit optimization information respectively; generating an initial optimization scheme using the material optimization information and the circuit; constructing an anti-interference performance optimization scheme using the initial optimization scheme, and performing optimization processing according to the anti-interference performance optimization scheme. The present invention can reduce the influence of the flexible device on the circuit structure and components inside the device during the deformation process by combining the material and circuit layout for comprehensive optimization processing, thereby avoiding the influence of the signal transmission quality and stability due to the change of components, and can improve the ability of the flexible device to resist signal attenuation, distortion, delay or mutual interference, so as to optimize the anti-interference performance of the flexible device and improve the mechanical reliability of the flexible device.

Description

Background Art

[0002] Flexible electronics is a general term for a technology that is an emerging electronic technology that makes electronic devices made of organic / inorganic materials on flexible / ductile substrates. Flexible devices (such as foldable screens or curved displays) built using the above technology have greater flexibility than traditional electronic devices, and can adapt to different working environments to a certain extent and meet the deformation requirements of the device.

[0003] In practical applications, due to the flexible and deformable characteristics of flexible devices, the circuit structure and component spacing inside the device will change during deformation such as bending and folding, resulting in changes in electrical parameters such as capacitance. Changes in capacitance will affect the transmission quality and stability of the signal, causing problems such as signal attenuation, distortion, delay or mutual interference, and in severe cases even leading to signal interruption or loss. How to monitor and compensate for changes in electrical parameters such as capacitance in real time during the deformation of flexible devices in order to optimize the anti-interference performance of flexible devices, maintain the stability of signal transmission, and take into account the mechanical reliability of flexible devices is a key technical issue that needs to be solved urgently. Summary of the invention

[0004] The present invention proposes a method, device, equipment and medium for optimizing the anti-interference performance of a flexible device. The method can optimize the anti-interference performance in combination with the structure of the flexible device, thereby reducing electromagnetic interference without reducing the performance and operating capability of the flexible device.

[0005] A first aspect of an embodiment of the present invention provides a method for optimizing the anti-interference performance of a flexible device, the method comprising:

[0006] Establishing a three-dimensional geometric model of the flexible device to be optimized, determining stress parameters according to the three-dimensional geometric model, and determining material optimization information according to the stress parameters;

[0007] Based on the circuit structure of the flexible device to be optimized, obtaining electrical parameters of the electromagnetic field distribution of the flexible device to be optimized, and determining circuit optimization information according to the electrical parameters;

[0008] Using a random forest classifier to calculate importance scoring parameters of the material optimization information and the circuit optimization information, and extracting optimization parameters from the material optimization information and the circuit optimization information according to the importance scoring parameters to obtain an optimization parameter set;

[0009] Mapping the optimization parameter set using a deep neural network to obtain position coordinates, and generating an initial optimization solution based on the position coordinates;

[0010] Performing signal transmission simulation according to the initial optimization scheme, obtaining signal parameters of the simulation process, and determining a transmission quality evaluation result according to the signal parameters;

[0011] An anti-interference optimization scheme is constructed using the transmission quality evaluation result and the initial optimization scheme, and optimization processing is performed according to the anti-interference optimization scheme.

[0012] In combination with the first aspect, in one implementation, establishing a three-dimensional geometric model of the flexible device to be optimized, determining stress parameters according to the three-dimensional geometric model, and determining material optimization information according to the stress parameters includes:

[0013] After obtaining geometric parameters of the flexible device to be optimized, establishing a three-dimensional geometric model according to the geometric parameters;

[0014] The Newton-Raphson algorithm is used to solve the displacement field of the mesh of the three-dimensional geometric model, and a stress-strain distribution diagram of the flexible device is constructed according to the Gaussian integral formula and the solution result of the displacement field solution;

[0015] Extracting stress nodes in the stress concentration area from the stress-strain distribution diagram, and calculating equivalent stress values ​​of the stress nodes according to the von Mises yield criterion;

[0016] A target stress value whose value does not meet the preset stress value is selected from the multiple equivalent stress values, and the material whose stress node corresponding to the target stress value is in the area of ​​the stress-strain distribution diagram is determined to obtain material optimization information.

[0017] In combination with the first aspect, in one implementation, obtaining electrical parameters of the electromagnetic field distribution of the flexible device to be optimized based on the circuit structure of the flexible device to be optimized, and determining circuit optimization information according to the electrical parameters includes:

[0018] Building an electromagnetic model based on the circuit structure of the flexible device to be optimized, intercepting the conductor area and the dielectric area of ​​the electromagnetic model based on a tetrahedral mesh to obtain a conductor image and a dielectric image;

[0019] Identify the conductor image and the dielectric image to obtain electrical parameters, wherein the electrical parameters include conductivity parameters of the conductor region of the conductor image and dielectric constant parameters of the dielectric region of the dielectric image;

[0020] Iterative calculation is performed using a finite difference time domain method and the electrical parameters within the curvature radius of the flexible substrate of the flexible device to be optimized to obtain electromagnetic field distribution data;

[0021] After extracting the electric field strength value between the flexible substrate and the wire of the flexible device to be optimized from the electromagnetic field distribution data, windowing the electric field strength value and performing Fourier transformation through a Hanning window function to obtain a frequency domain variation curve of the capacitance parameter of the flexible device to be optimized;

[0022] If the capacitance parameter of the flexible device to be optimized does not meet the preset capacitance constraint condition, the characteristic impedance of the conductor at each curvature point is calculated according to the frequency domain variation curve, and the conductor parameters are calculated by the microstrip line impedance formula, wherein the conductor parameters include: the width and spacing of the conductor;

[0023] The wiring optimizer is used to optimize the conductor layout of the flexible device to be optimized, and circuit optimization information that meets the preset line constraint conditions is obtained.

[0024] In combination with the first aspect, in one implementation, the importance scoring parameters of the material optimization information and the circuit optimization information are calculated using a random forest classifier, and optimization parameters are extracted from the material optimization information and the circuit optimization information according to the importance scoring parameters to obtain an optimization parameter set, including:

[0025] Extracting spatial distribution data of stress field from the material optimization information and extracting spatial distribution data of electromagnetic field from the circuit optimization information;

[0026] A random forest classifier is used to calculate importance scoring parameters according to the spatial distribution data of the stress field and the spatial distribution data of the electromagnetic field, wherein the importance scoring parameters include: importance scores of material thickness, dielectric constant, bonding strength, and wire width;

[0027] Based on the minimum mean square error criterion, parameters whose contribution rates exceed preset contribution rates are screened from the importance score parameters to obtain an optimized parameter set.

[0028] In combination with the first aspect, in one implementation, mapping the optimization parameter set using a deep neural network to obtain position coordinates, and generating an initial optimization solution based on the position coordinates includes:

[0029] Using a deep neural network to perform mapping calculation according to the optimization parameter set to obtain position coordinates, wherein the position coordinates include the position coordinates of the material to be optimized and the position coordinates of the device to be optimized;

[0030] The grid units of the optimization position are divided according to the position coordinates, and the grid units and corresponding parameter values ​​are combined to obtain an initial optimization solution.

[0031] In combination with the first aspect, in one implementation, performing signal transmission simulation according to the initial optimization scheme, obtaining signal parameters of the simulation process, and determining a transmission quality evaluation result according to the signal parameters include:

[0032] After adjusting the three-dimensional geometric model according to the initial optimization scheme to obtain an adjusted model, constructing a simulated transmission line diagram in the adjusted model and performing a signal transmission simulation, obtaining signal parameters of the simulation process;

[0033] The value of the signal parameter is compared with a preset signal value to obtain a transmission quality evaluation result.

[0034] In combination with the first aspect, in one implementation, the step of using the transmission quality evaluation result and the initial optimization scheme to construct an interference immunity optimization scheme includes:

[0035] If the transmission quality evaluation result meets the evaluation requirements, the parameters of the initial optimization scheme are adjusted according to the operating parameters of the flexible device to be optimized through a genetic algorithm to obtain an anti-interference optimization scheme, wherein the operating parameters are compensation parameters that are calculated based on the working status of the flexible device to be optimized by real-time monitoring of the working status.

[0036] A second aspect of an embodiment of the present invention provides an apparatus for optimizing the anti-interference performance of a flexible device, the apparatus comprising:

[0037] A material optimization information module, used to establish a three-dimensional geometric model of the flexible device to be optimized, determine stress parameters according to the three-dimensional geometric model, and determine material optimization information according to the stress parameters;

[0038] A circuit optimization information module, used to obtain electrical parameters of the electromagnetic field distribution of the flexible device to be optimized based on the circuit structure of the flexible device to be optimized, and determine circuit optimization information according to the electrical parameters;

[0039] an optimization parameter module, configured to calculate importance score parameters of the material optimization information and the circuit optimization information using a random forest classifier, and extract optimization parameters from the material optimization information and the circuit optimization information according to the importance score parameters to obtain an optimization parameter set;

[0040] An initial solution module, used to map the optimization parameter set using a deep neural network to obtain position coordinates, and generate an initial optimization solution based on the position coordinates;

[0041] An evaluation result module is used to perform signal transmission simulation according to the initial optimization scheme, obtain signal parameters of the simulation process, and determine the transmission quality evaluation result according to the signal parameters;

[0042] The optimization processing module is used to construct an anti-interference optimization scheme by using the transmission quality evaluation result and the initial optimization scheme, and perform optimization processing according to the anti-interference optimization scheme.

[0043] In conjunction with the second aspect, in one implementation, establishing a three-dimensional geometric model of the flexible device to be optimized, determining stress parameters according to the three-dimensional geometric model, and determining material optimization information according to the stress parameters includes:

[0044] After obtaining geometric parameters of the flexible device to be optimized, establishing a three-dimensional geometric model according to the geometric parameters;

[0045] The Newton-Raphson algorithm is used to solve the displacement field of the mesh of the three-dimensional geometric model, and a stress-strain distribution diagram of the flexible device is constructed according to the Gaussian integral formula and the solution result of the displacement field solution;

[0046] Extracting stress nodes in the stress concentration area from the stress-strain distribution diagram, and calculating equivalent stress values ​​of the stress nodes according to the von Mises yield criterion;

[0047] A target stress value whose value does not meet the preset stress value is selected from the multiple equivalent stress values, and the material whose stress node corresponding to the target stress value is in the area of ​​the stress-strain distribution diagram is determined to obtain material optimization information.

[0048] In conjunction with the second aspect, in one implementation, obtaining electrical parameters of the electromagnetic field distribution of the flexible device to be optimized based on the circuit structure of the flexible device to be optimized, and determining circuit optimization information according to the electrical parameters includes:

[0049] Building an electromagnetic model based on the circuit structure of the flexible device to be optimized, intercepting the conductor area and the dielectric area of ​​the electromagnetic model based on a tetrahedral mesh to obtain a conductor image and a dielectric image;

[0050] Identify the conductor image and the dielectric image to obtain electrical parameters, wherein the electrical parameters include conductivity parameters of the conductor region of the conductor image and dielectric constant parameters of the dielectric region of the dielectric image;

[0051] Iterative calculation is performed using a finite difference time domain method and the electrical parameters within the curvature radius of the flexible substrate of the flexible device to be optimized to obtain electromagnetic field distribution data;

[0052] After extracting the electric field strength value between the flexible substrate and the wire of the flexible device to be optimized from the electromagnetic field distribution data, windowing the electric field strength value and performing Fourier transformation through a Hanning window function to obtain a frequency domain variation curve of the capacitance parameter of the flexible device to be optimized;

[0053] If the capacitance parameter of the flexible device to be optimized does not meet the preset capacitance constraint condition, the characteristic impedance of the conductor at each curvature point is calculated according to the frequency domain variation curve, and the conductor parameters are calculated by the microstrip line impedance formula, wherein the conductor parameters include: the width and spacing of the conductor;

[0054] The wiring optimizer is used to optimize the conductor layout of the flexible device to be optimized, and circuit optimization information that meets the preset line constraint conditions is obtained.

[0055] In conjunction with the second aspect, in one implementation, the importance scoring parameters of the material optimization information and the circuit optimization information are calculated using a random forest classifier, and optimization parameters are extracted from the material optimization information and the circuit optimization information according to the importance scoring parameters to obtain an optimization parameter set, including:

[0056] Extracting spatial distribution data of stress field from the material optimization information and extracting spatial distribution data of electromagnetic field from the circuit optimization information;

[0057] A random forest classifier is used to calculate importance scoring parameters according to the spatial distribution data of the stress field and the spatial distribution data of the electromagnetic field, wherein the importance scoring parameters include: importance scores of material thickness, dielectric constant, bonding strength, and wire width;

[0058] Based on the minimum mean square error criterion, parameters whose contribution rates exceed preset contribution rates are screened from the importance score parameters to obtain an optimized parameter set.

[0059] In conjunction with the second aspect, in one implementation, mapping the optimization parameter set using a deep neural network to obtain position coordinates, and generating an initial optimization solution based on the position coordinates includes:

[0060] Using a deep neural network to perform mapping calculation according to the optimization parameter set to obtain position coordinates, wherein the position coordinates include the position coordinates of the material to be optimized and the position coordinates of the device to be optimized;

[0061] The grid units of the optimization position are divided according to the position coordinates, and the grid units and corresponding parameter values ​​are combined to obtain an initial optimization solution.

[0062] In conjunction with the second aspect, in one implementation, performing signal transmission simulation according to the initial optimization scheme, obtaining signal parameters of the simulation process, and determining a transmission quality evaluation result according to the signal parameters include:

[0063] After adjusting the three-dimensional geometric model according to the initial optimization scheme to obtain an adjusted model, constructing a simulated transmission line diagram in the adjusted model and performing a signal transmission simulation, obtaining signal parameters of the simulation process;

[0064] The value of the signal parameter is compared with a preset signal value to obtain a transmission quality evaluation result.

[0065] In conjunction with the second aspect, in one implementation, the adopting the transmission quality evaluation result and the initial optimization scheme to construct an interference immunity optimization scheme includes:

[0066] If the transmission quality evaluation result meets the evaluation requirements, the parameters of the initial optimization scheme are adjusted according to the operating parameters of the flexible device to be optimized through a genetic algorithm to obtain an anti-interference optimization scheme, wherein the operating parameters are compensation parameters that are calculated based on the working status of the flexible device to be optimized by real-time monitoring of the working status.

[0067] Compared with the prior art, the embodiments of the present invention provide a method, device, equipment and medium for optimizing the anti-interference performance of a flexible device, and its beneficial effects are: the present invention can obtain material optimization information and circuit optimization information respectively; determine the parameters that need to be optimized according to the material optimization information and the circuit optimization information, and obtain an optimization parameter set; and use the optimization parameter set to construct an anti-interference optimization scheme for optimization processing. By combining the material and circuit layout for comprehensive optimization processing, the influence of the flexible device on the circuit structure and components inside the device during the deformation process can be reduced, thereby avoiding the influence of the signal transmission quality and stability due to the change of components, and improving the ability of the flexible device to resist signal attenuation, distortion, delay or mutual interference, so as to optimize the anti-interference performance of the flexible device and improve the mechanical reliability of the flexible device. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a flow chart of a method for optimizing the anti-interference performance of a flexible device provided by one embodiment of the present invention;

[0069] Figure 2 It is a structural schematic diagram of an anti-interference optimization device for a flexible device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] Flexible electronics is a general term for a technology that is an emerging electronic technology that makes electronic devices made of organic / inorganic materials on flexible / ductile substrates. Flexible devices (such as foldable screens or curved displays) built using the above technology have greater flexibility than traditional electronic devices, and can adapt to different working environments to a certain extent and meet the deformation requirements of the device.

[0072] In practical applications, due to the flexible and deformable characteristics of flexible devices, the circuit structure and component spacing inside the device will change during deformation such as bending and folding, resulting in changes in electrical parameters such as capacitance. Changes in capacitance will affect the transmission quality and stability of the signal, causing problems such as signal attenuation, distortion, delay or mutual interference, and in severe cases even leading to signal interruption or loss. How to monitor and compensate for changes in electrical parameters such as capacitance in real time during the deformation of flexible devices in order to optimize the anti-interference performance of flexible devices, maintain the stability of signal transmission, and take into account the mechanical reliability of flexible devices is a key technical issue that needs to be solved urgently.

[0073] In order to solve the above problems, a method, device, equipment and medium for optimizing the anti-interference performance of a flexible device provided in an embodiment of the present application will be introduced and explained in detail through the following specific embodiments.

[0074] Reference Figure 1 , showing a flow chart of a method for optimizing the anti-interference performance of a flexible device provided by an embodiment of the present invention.

[0075] In one embodiment, the method is applicable to a computer, which may be a device for designing and communicating with a flexible device, and may simulate the flexible device and detect its anti-interference performance.

[0076] Wherein, as an example, the method for optimizing the interference immunity of the flexible device may include:

[0077] S11, establishing a three-dimensional geometric model of the flexible device to be optimized, determining stress parameters according to the three-dimensional geometric model, and determining material optimization information according to the stress parameters.

[0078] In one embodiment, the geometric parameters of the flexible device to be optimized and the materials and textures used can be determined, and then a three-dimensional geometric model of the geometric structure of the flexible device to be optimized is established, and then its stress parameters are determined according to the three-dimensional geometric model, and material optimization information is determined according to the stress parameters. The material optimization information can be the type of material, the size and capacity of the material, etc.

[0079] Because the materials and materials used to construct the three-dimensional geometric model may be poor, the stress parameters of the flexible device to be optimized cannot meet the use requirements. By modifying the materials used, its stress parameters can be improved so that the stress parameters of the flexible device to be optimized can meet the use requirements.

[0080] As an example, the step of establishing a three-dimensional geometric model of the flexible device to be optimized, determining stress parameters according to the three-dimensional geometric model, and determining material optimization information according to the stress parameters may include the following sub-steps:

[0081] S111 . After obtaining geometric parameters of the flexible device to be optimized, establishing a three-dimensional geometric model according to the geometric parameters.

[0082] S112. Use the Newton-Raphson algorithm to solve the displacement field of the grid of the three-dimensional geometric model, and construct a stress-strain distribution diagram of the flexible device based on the Gaussian integral formula and the solution result of the displacement field.

[0083] S113, extracting stress nodes in the stress concentration area from the stress-strain distribution diagram, and calculating equivalent stress values ​​of the stress nodes according to the von Mises yield criterion.

[0084] S114, selecting a target stress value whose value does not meet a preset stress value from the multiple equivalent stress values, and determining a material whose stress node corresponding to the target stress value is in an area of ​​the stress-strain distribution diagram to obtain material optimization information.

[0085] In one embodiment, after obtaining the geometric parameters of the flexible device to be optimized, a three-dimensional geometric model can be established based on the geometric parameters to simulate the stress-strain distribution of the flexible device to be optimized under different curvature states, obtain the stress concentration area and the interlayer stress distribution, and judge the mechanical reliability of the flexible device to be optimized. If the stress exceeds the preset yield strength of the material or the preset interlayer adhesion, it is determined that the mechanical reliability is insufficient, and the material structure process is optimized and designed to obtain material optimization information.

[0086] Specifically, a three-dimensional geometric model can be established according to the geometric parameters and material property parameters of the flexible device to be optimized; then, the Newton-Raphson algorithm is used to solve the displacement field of the grid of the three-dimensional geometric model, and a stress-strain distribution diagram of the flexible device is constructed according to the Gaussian integral formula and the solution results of the displacement field; stress nodes in the stress concentration area are extracted from the stress-strain distribution diagram, and the equivalent stress values ​​of the stress nodes are calculated according to the von Mises yield criterion.

[0087] If the equivalent stress value exceeds the preset yield strength value of the material, the stress node corresponding to the target stress value in the area of ​​the stress-strain distribution diagram is marked as a stress failure area, and the area is displayed to the user. Then, the replacement material input by the user after viewing the area is received to obtain material optimization information.

[0088] Optionally, interlayer nodes can be extracted based on the stress-strain distribution diagram and the corresponding interlayer stress can be calculated. If the interlayer stress exceeds the preset interlayer adhesion threshold, it is determined that the interlayer bonding strength does not meet the requirements. The area of ​​the interlayer node in the stress-strain distribution diagram can also be marked as a stress failure area, and the area can be displayed to the user. Then, the replacement material input by the user after viewing the area is received to obtain material optimization information.

[0089] Optionally, after establishing the three-dimensional geometric model, the three-dimensional mesh subdivision data of the three-dimensional geometric model can be obtained, and fixed displacement constraints are imposed on the surface of the flexible device to be optimized after meshing. Local encryption processing with a mesh size of one-fourth of the global mesh size is used for the stress concentration position. The Young's modulus, Poisson's ratio, density, yield strength, and interlaminar shear strength values ​​are set at each mesh node, and the three-dimensional mesh of the flexible device to be optimized is meshed by four-node tetrahedral units to obtain complete meshed model data.

[0090] In addition, according to the bending deformation state of the flexible device to be optimized, discrete curvature points are selected in the range of curvature radius from the standard state to the minimum curvature radius, and the Newton-Raphson iterator is used to solve the displacement field. The convergence residual is set to be less than ten to the negative sixth power as the basis for iteration termination. When the Gaussian integral formula is used to calculate the stress-strain distribution diagram, the line search method is used to determine the incremental step size in each iterative step size, so that the stress-strain distribution diagram under each curvature state can be obtained.

[0091] The core structure of the flexible device to be optimized lies in the material stacking structure and interface bonding characteristics. Taking the flexible display as a specific application scenario, the matrix material is polyimide with a thickness of micrometers. The metal electrode layer, organic light-emitting layer, encapsulation layer and other functional films are deposited on it in sequence, and the thickness of each layer ranges from nanometers to micrometers. When meshing the geometric model, due to the significant difference in thickness of each layer, a zero-thickness shell unit is used for the thinnest metal electrode layer, and a solid unit is used for the organic layer. The global mesh size is twice the thickness of the thinnest layer to ensure that the unit aspect ratio does not exceed ten, and the local density is increased to one-quarter size in stress concentration areas such as edges and holes.

[0092] In practical applications, the flexible device to be optimized (such as a flexible display) is bent from a plane to a cylindrical surface with a curvature radius of 30 mm, ten uniformly distributed intermediate curvature states are set, and displacement boundary conditions are applied to simulate the bending process to ensure computational convergence. For flexible conductive materials, graphene has higher fracture strength and better flexibility, and replacing metal electrodes in stress concentration areas can improve reliability. Interlayer interface stress analysis shows that under the maximum curvature state, the shear stress peak value of the interface between the organic light-emitting layer and the encapsulation layer is eight MPa, which is lower than the preset ten MPa interface strength, but the stress distribution is uneven, forming a stress concentration zone at the edge, and the interface bonding strength gradually decreases as the number of bends increases. By adding a transition layer between the organic layer and the encapsulation layer, using plasma surface treatment to improve the interface bonding force, or designing a stress release structure in the edge area, the interlayer bonding stability can be improved.

[0093] S12. Based on the circuit structure of the flexible device to be optimized, electrical parameters of the electromagnetic field distribution of the flexible device to be optimized are obtained, and circuit optimization information is determined according to the electrical parameters.

[0094] In one embodiment, the circuit structure of the flexible device to be optimized may be obtained, including circuit layout, components used, etc. Then, circuit simulation is performed according to the circuit structure, so that the electrical parameters of the electromagnetic field distribution of the flexible device to be optimized can be obtained, and the circuit optimization information can be determined according to the electrical parameters. The circuit optimization information may include optimization of circuit layout, optimization of components, etc.

[0095] In an optional embodiment, the step of acquiring electrical parameters of the electromagnetic field distribution of the flexible device to be optimized based on the circuit structure of the flexible device to be optimized, and determining the circuit optimization information according to the electrical parameters may include the following sub-steps:

[0096] S121. Construct an electromagnetic model based on the circuit structure of the flexible device to be optimized, and intercept the conductor area and the dielectric area of ​​the electromagnetic model based on a tetrahedral mesh to obtain a conductor image and a dielectric image.

[0097] S122: Identify the conductor image and the dielectric image to obtain electrical parameters, where the electrical parameters include conductivity parameters of the conductor region of the conductor image and dielectric constant parameters of the dielectric region of the dielectric image.

[0098] S123, using a finite difference time domain method and the electrical parameters to perform iterative calculation within the curvature radius range of the flexible substrate of the flexible device to be optimized, to obtain electromagnetic field distribution data.

[0099] S124, after extracting the electric field strength value between the flexible substrate and the wire of the flexible device to be optimized from the electromagnetic field distribution data, windowing and Fourier transforming the electric field strength value by using a Hanning window function to obtain a frequency domain variation curve of the capacitance parameter of the flexible device to be optimized.

[0100] S125. If the capacitance parameters of the flexible device to be optimized do not meet the preset capacitance constraint conditions, the characteristic impedance of the conductor at each curvature point is calculated according to the frequency domain variation curve, and the conductor parameters are calculated by the microstrip line impedance formula, where the conductor parameters include: the width and spacing of the conductor.

[0101] S126. Use a wiring optimizer to optimize the conductor layout of the flexible device to be optimized, and obtain circuit optimization information that meets preset line constraint conditions.

[0102] In one implementation, the circuit structure and component layout of the flexible device to be optimized can be obtained, and an electromagnetic model can be established based on the circuit structure and component layout of the flexible device to be optimized. The electromagnetic field distribution and transmission characteristics of the flexible device to be optimized under different curvature states can be simulated through the electromagnetic model; and the change of electrical parameters of the capacitor of the flexible device to be optimized can be obtained to determine whether the change of the electrical parameters exceeds a preset range. If so, the circuit structure and component layout of the flexible device to be optimized are optimized.

[0103] Specifically, electrical parameters can be displayed to users, and circuit optimization information can be obtained by combining the optimization information of circuit structure and component layout input by the user.

[0104] Specifically, after obtaining the circuit structure image of the flexible device to be optimized, the wire routing and component position data are imported according to the circuit structure image, the electromagnetic model is simulated and generated, the conductor area and the dielectric area of ​​the electromagnetic model are divided based on the tetrahedral mesh, and the images of the conductor area and the dielectric area are intercepted to obtain the conductor image and the dielectric image.

[0105] Frequency-dependent conductivity parameters are applied to the conductor area, and frequency-dependent dielectric constant parameters are applied to the dielectric layer. Then, the conductor image and the dielectric image under these conditions are identified to obtain electrical parameters, which include conductivity parameters of the conductor area of ​​the conductor image and dielectric constant parameters of the dielectric area of ​​the dielectric image.

[0106] In the range of the flexible substrate from the minimum curvature radius to the planar state, the curvature radius is taken at intervals of five millimeters. The electromagnetic field is calculated in the time domain iteratively using the time-domain finite difference method and electrical parameters with a time step of one tenth of the speed of light propagation distance, and the electromagnetic field distribution data can be obtained.

[0107] After extracting the electric field strength value between the flexible substrate and the wire of the flexible device to be optimized from the electromagnetic field distribution data, the electric field strength value is windowed and Fourier transformed by the Hanning window function, and the frequency domain variation curve of the capacitance parameter of the flexible device to be optimized can be obtained.

[0108] It is determined whether the change amplitude of the capacitance parameter is less than the preset deviation range value. If the change amplitude of the capacitance parameter is greater than the preset deviation range value, it means that the capacitance parameter change exceeds the preset range, and it is determined that the capacitance parameter of the flexible device to be optimized does not meet the preset capacitance constraint condition.

[0109] The characteristic impedance of the conductor at each curvature point can be calculated according to the frequency domain variation curve, and the conductor parameters can be calculated by using a microstrip line impedance formula. The conductor parameters include: the width and spacing of the conductor.

[0110] The wiring optimizer based on genetic algorithm is used to optimize the wire layout, in which the population size is set to five times the number of wires. Under the multi-objective constraints of minimizing the wire length and satisfying the requirements of the capacitance parameters, the wiring scheme is iteratively optimized through crossover mutation operations until the wiring layout result that meets the constraints is obtained, and the circuit optimization information is obtained. In addition, users can also design the wiring layout to adjust its wiring layout and obtain circuit optimization information.

[0111] The electromagnetic field simulation in flexible electronic devices involves multi-layer complex dielectric structures. Taking the flexible display screen as a specific example, the capacitance parameters of general wires are 0.2 pF of coupling capacitance between adjacent wires in a straight state, which increases to 0.3 pF in the maximum bending state, an increase exceeding the preset 10% range. Through frequency domain analysis, it is found that the change in coupling capacitance leads to an increase in signal crosstalk. In the gigahertz frequency band, the crosstalk voltage reaches 20% of the signal amplitude, far exceeding the 5% tolerance requirement, indicating that the wire layout scheme has electromagnetic compatibility risks.

[0112] By adjusting the wire layout, the width and spacing information of each wire can be adjusted. For example, the spacing between key signal line pairs is increased to 200 microns, and the increase in length is compensated by serpentine routing. The change in coupling capacitance in the bent state is controlled within 8%, and the crosstalk voltage is reduced to 4% of the signal amplitude, meeting electromagnetic compatibility requirements.

[0113] S13. Using a random forest classifier to calculate importance scoring parameters of the material optimization information and the circuit optimization information, and extracting optimization parameters from the material optimization information and the circuit optimization information according to the importance scoring parameters to obtain an optimization parameter set.

[0114] In one embodiment, a random forest classifier may be used to calculate importance score parameters of the material optimization information and the circuit optimization information respectively, and optimization parameters may be extracted from the material optimization information and the circuit optimization information according to the importance score parameters to obtain an optimization parameter set.

[0115] By calculating the importance score parameter, the optimization priority can be determined, whether to optimize the material or the circuit layout. Then, the parameters required for optimization can be extracted from the information according to the optimization priority to obtain the optimization parameter set.

[0116] In one of the embodiments, the step of calculating the importance score parameters of the material optimization information and the circuit optimization information using a random forest classifier, and extracting optimization parameters from the material optimization information and the circuit optimization information according to the importance score parameters to obtain an optimization parameter set may include the following sub-steps:

[0117] S131, extracting spatial distribution data of stress field from the material optimization information and extracting spatial distribution data of electromagnetic field from the circuit optimization information.

[0118] S132. Using a random forest classifier, calculate importance scoring parameters according to the spatial distribution data of the stress field and the spatial distribution data of the electromagnetic field, wherein the importance scoring parameters include: importance scores of material thickness, dielectric constant, bonding strength, and wire width.

[0119] S133. Filtering parameters whose contribution rates exceed preset contribution rates from the importance score parameters based on a minimum mean square error criterion to obtain an optimized parameter set.

[0120] Specifically, the spatial distribution data of the stress field is extracted from the material optimization information, and the spatial distribution data of the electromagnetic field is extracted from the circuit optimization information. Specifically, the material-related information (including material thickness and bonding strength) of the area where the stress exceeds 90% of the preset yield strength is extracted from the material optimization information about the mechanical stress of the flexible device to obtain the spatial distribution data of the stress field, and the electrical-related information (including dielectric constant and wire width) of the area where the capacitance change exceeds 10% of the preset value is extracted from the circuit optimization information about the capacitance parameters of the flexible device, and the spatial distribution data of the electromagnetic field is obtained.

[0121] After extracting the spatial distribution data of the stress field and the electromagnetic field, the random forest classifier is used to score the importance of the four parameters of material thickness, dielectric constant, bonding strength, and wire width to obtain the importance scoring parameters.

[0122] Importance scores with contribution rates exceeding 5% are screened based on the minimum mean square error criterion, and then corresponding parameters are screened in the material optimization information and circuit optimization information according to the importance scores to obtain an optimized parameter set.

[0123] For example, if the contribution rate of the material thickness importance score exceeds 5%, the thickness optimization parameters can be extracted from the material optimization information according to the material thickness, including adjusting the thickness at position xx by 3mm and adjusting the thickness at position xx by 0.01mm.

[0124] For another example, if the contribution rate of the importance score of the wire width exceeds 5%, parameters for wire width optimization can be extracted from the circuit optimization information according to the wire width, including adjusting the wire width between the resistor Rx and the capacitor Cx by 0.02 mm.

[0125] S14. Use a deep neural network to map the optimization parameter set to obtain position coordinates, and generate an initial optimization plan based on the position coordinates.

[0126] In one embodiment, a pre-trained deep neural network can be called to map the optimization parameter set, obtain the coordinates of each device and material to be optimized, obtain the position coordinates, and then generate an initial optimization plan based on the position coordinates.

[0127] Referring to the above description, the optimization parameter set includes adjusting the thickness at the xx position by 3mm, adjusting the thickness at the xx position by 0.01mm, adjusting the wire width between the resistor Rx and the capacitor Cx by 0.02mm, etc. The position coordinates of each device or material that needs to be optimized can be obtained separately, and then an initial optimization plan can be generated based on the position coordinates and the optimized parameters.

[0128] In an optional embodiment, the step of mapping the optimization parameter set using a deep neural network to obtain position coordinates and generating an initial optimization solution based on the position coordinates may include the following sub-steps:

[0129] S141. Use a deep neural network to perform mapping calculation according to the optimization parameter set to obtain position coordinates, wherein the position coordinates include the position coordinates of the material to be optimized and the position coordinates of the device to be optimized.

[0130] S142, dividing the grid units of the optimization position according to the position coordinates, and combining the grid units and corresponding parameter values ​​to obtain an initial optimization solution.

[0131] Specifically, a deep neural network can be used to perform mapping calculations based on the various fields and contents of the optimization parameter set to obtain position coordinates; then, the grid of each position that needs to be optimized in the three-dimensional geometric model is determined based on the position coordinates, and the grid unit corresponding to the position coordinates is obtained. Finally, the grid unit and the parameters that need to be optimized at the corresponding position of the grid unit are combined into an initial optimization plan.

[0132] S15. Perform signal transmission simulation according to the initial optimization scheme, obtain signal parameters of the simulation process, and determine a transmission quality evaluation result according to the signal parameters.

[0133] In one embodiment, the three-dimensional geometric model can be modified according to the initial optimization scheme, and then signal simulation can be performed according to the modified three-dimensional geometric model, and various signal parameters of the flexible device during signal transmission can be obtained to determine the transmission quality evaluation result according to the numerical value of the signal parameter.

[0134] In an optional embodiment, performing signal transmission simulation according to the initial optimization scheme, obtaining signal parameters of the simulation process, and determining the transmission quality evaluation result according to the signal parameters may include the following sub-steps:

[0135] S151. After adjusting the three-dimensional geometric model according to the initial optimization scheme to obtain an adjusted model, a simulated transmission line diagram is constructed in the adjusted model and a signal transmission simulation is performed, and then signal parameters of the simulation process are obtained.

[0136] S152: Compare the value of the signal parameter with a preset signal value to obtain a transmission quality evaluation result.

[0137] Since the areas that need to be optimized include the structure and circuit layout of the equipment, the three-dimensional geometric model can be adjusted according to the initial optimization plan to obtain an adjusted model, and then a simulated transmission line diagram can be constructed in the adjusted model, and then the signal transmission simulation can be performed according to the simulated transmission line diagram, and the signal parameters of the simulation process can be obtained at the same time. Among them, the signal parameters can include: voltage, current components, signal transmission attenuation, distortion, signal-to-noise ratio and bit error rate data, etc. The obtained data will be analyzed later to evaluate the impact of the optimized design plan on the signal transmission stability of the flexible device module.

[0138] Optionally, the value of each signal parameter can be compared with a preset signal value. If the value of each signal parameter satisfies the range of the preset signal value, the transmission quality evaluation result can be determined to be good; if only the values ​​of any number of signal parameters satisfy the range of the preset signal value, the transmission quality evaluation result can be determined to be average; if the value of each signal parameter does not satisfy the range of the preset signal value, the transmission quality evaluation result can be determined to be poor.

[0139] Optionally, the value of each signal parameter may be compared with a preset signal value, and the number of signal parameter values ​​that satisfy the range of the preset signal value may be counted, and the counted number may be used as the transmission quality evaluation result.

[0140] For example, during the simulation, a pseudo-random code sequence with a symbol period of one nanosecond and an amplitude of one volt is applied as an excitation source at the signal source position, and the signal transmission in the flexible substrate is simulated using the time-domain finite-difference method with a time step of one twentieth of the signal period. The voltage and current components of each circuit node are calculated by setting a joint iterative solver with a relative error less than ten to the negative sixth power to obtain the signal parameters, and the transmission quality evaluation result is determined based on the numerical values ​​of the voltage and current components.

[0141] S16: construct an anti-interference optimization scheme using the transmission quality evaluation result and the initial optimization scheme, and perform optimization processing according to the anti-interference optimization scheme.

[0142] In one embodiment, the transmission quality evaluation result and the initial optimization scheme may be combined to obtain an interference immunity optimization scheme, and then the optimization process may be performed according to the interference immunity optimization scheme.

[0143] In an optional embodiment, the step of constructing an interference immunity optimization scheme by using the transmission quality evaluation result and the initial optimization scheme may include the following sub-steps:

[0144] S161. If the transmission quality evaluation result meets the evaluation requirements, the parameters of the initial optimization scheme are adjusted according to the operating parameters of the flexible device to be optimized through a genetic algorithm to obtain an anti-interference optimization scheme, wherein the operating parameters are compensation parameters that are calculated based on the working status of the flexible device to be optimized by real-time monitoring of the working status.

[0145] Specifically, during the normal operation of the flexible device, the deformation state and various signal parameters of the flexible device can be monitored in real time, and the various signal parameters can be input into a preset electrical parameter drift prediction model to calculate the compensation parameters.

[0146] The electrical parameter drift prediction model may be a model obtained by training with parameters of normal operation of the flexible device.

[0147] Finally, the parameters of the initial optimization scheme can be adjusted according to the genetic algorithm using the operating parameters of the flexible device to be optimized to obtain an anti-interference optimization scheme.

[0148] Since the initial optimization plan is based on the optimization information of the structure and circuit of the flexible device, combined with the required compensation parameters, the optimized flexible device can be more perfect, thereby reducing the signal impact caused by deformation, thereby improving the signal transmission quality and stability, and improving the quality of the product.

[0149] In this embodiment, the embodiment of the present invention provides a method for optimizing the anti-interference performance of a flexible device, and its beneficial effects are: the present invention can obtain material optimization information and circuit optimization information respectively; determine the parameters that need to be optimized according to the material optimization information and the circuit optimization information, and obtain an optimization parameter set; and use the optimization parameter set to construct an anti-interference optimization scheme for optimization processing. By combining the material and circuit layout for comprehensive optimization processing, the influence of the flexible device on the circuit structure and components inside the device during the deformation process can be reduced, thereby avoiding the influence of the signal transmission quality and stability due to the change of components, and improving the ability of the flexible device to resist signal attenuation, distortion, delay or mutual interference, so as to optimize the anti-interference performance of the flexible device and improve the mechanical reliability of the flexible device.

[0150] The embodiment of the present invention also provides an anti-interference optimization device for a flexible device, see Figure 2 , showing a schematic structural diagram of an anti-interference optimization device for a flexible device provided by an embodiment of the present invention.

[0151] Wherein, as an example, the interference immunity optimization device of the flexible device may include:

[0152] The material optimization information module 210 is used to establish a three-dimensional geometric model of the flexible device to be optimized, determine stress parameters according to the three-dimensional geometric model, and determine material optimization information according to the stress parameters;

[0153] The circuit optimization information module 220 is used to obtain electrical parameters of the electromagnetic field distribution of the flexible device to be optimized based on the circuit structure of the flexible device to be optimized, and determine the circuit optimization information according to the electrical parameters;

[0154] An optimization parameter module 230, configured to calculate importance score parameters of the material optimization information and the circuit optimization information using a random forest classifier, and extract optimization parameters from the material optimization information and the circuit optimization information according to the importance score parameters to obtain an optimization parameter set;

[0155] An initial solution module 240, configured to map the optimization parameter set using a deep neural network to obtain position coordinates, and generate an initial optimization solution based on the position coordinates;

[0156] An evaluation result module 250 is used to perform a signal transmission simulation according to the initial optimization scheme, obtain signal parameters of the simulation process, and determine a transmission quality evaluation result according to the signal parameters;

[0157] The optimization processing module 260 is used to construct an anti-interference optimization scheme using the transmission quality evaluation result and the initial optimization scheme, and perform optimization processing according to the anti-interference optimization scheme.

[0158] Optionally, establishing a three-dimensional geometric model of the flexible device to be optimized, determining stress parameters according to the three-dimensional geometric model, and determining material optimization information according to the stress parameters includes:

[0159] After obtaining geometric parameters of the flexible device to be optimized, establishing a three-dimensional geometric model according to the geometric parameters;

[0160] The Newton-Raphson algorithm is used to solve the displacement field of the mesh of the three-dimensional geometric model, and a stress-strain distribution diagram of the flexible device is constructed according to the Gaussian integral formula and the solution result of the displacement field solution;

[0161] Extracting stress nodes in the stress concentration area from the stress-strain distribution diagram, and calculating equivalent stress values ​​of the stress nodes according to the von Mises yield criterion;

[0162] A target stress value whose value does not meet the preset stress value is selected from the multiple equivalent stress values, and the material whose stress node corresponding to the target stress value is in the area of ​​the stress-strain distribution diagram is determined to obtain material optimization information.

[0163] Optionally, acquiring electrical parameters of the electromagnetic field distribution of the flexible device to be optimized based on the circuit structure of the flexible device to be optimized, and determining circuit optimization information according to the electrical parameters includes:

[0164] Building an electromagnetic model based on the circuit structure of the flexible device to be optimized, intercepting the conductor area and the dielectric area of ​​the electromagnetic model based on a tetrahedral mesh to obtain a conductor image and a dielectric image;

[0165] Identify the conductor image and the dielectric image to obtain electrical parameters, wherein the electrical parameters include conductivity parameters of the conductor region of the conductor image and dielectric constant parameters of the dielectric region of the dielectric image;

[0166] Iterative calculation is performed using a finite difference time domain method and the electrical parameters within the curvature radius of the flexible substrate of the flexible device to be optimized to obtain electromagnetic field distribution data;

[0167] After extracting the electric field strength value between the flexible substrate and the wire of the flexible device to be optimized from the electromagnetic field distribution data, windowing the electric field strength value and performing Fourier transformation through a Hanning window function to obtain a frequency domain variation curve of the capacitance parameter of the flexible device to be optimized;

[0168] If the capacitance parameter of the flexible device to be optimized does not meet the preset capacitance constraint condition, the characteristic impedance of the conductor at each curvature point is calculated according to the frequency domain variation curve, and the conductor parameters are calculated by the microstrip line impedance formula, wherein the conductor parameters include: the width and spacing of the conductor;

[0169] The wiring optimizer is used to optimize the conductor layout of the flexible device to be optimized, and circuit optimization information that meets the preset line constraint conditions is obtained.

[0170] Optionally, the using a random forest classifier to calculate importance scoring parameters of the material optimization information and the circuit optimization information, and extracting optimization parameters from the material optimization information and the circuit optimization information according to the importance scoring parameters to obtain an optimization parameter set includes:

[0171] Extracting spatial distribution data of stress field from the material optimization information and extracting spatial distribution data of electromagnetic field from the circuit optimization information;

[0172] A random forest classifier is used to calculate importance scoring parameters according to the spatial distribution data of the stress field and the spatial distribution data of the electromagnetic field, wherein the importance scoring parameters include: importance scores of material thickness, dielectric constant, bonding strength, and wire width;

[0173] Based on the minimum mean square error criterion, parameters whose contribution rates exceed preset contribution rates are screened from the importance score parameters to obtain an optimized parameter set.

[0174] Optionally, the using a deep neural network to map the optimization parameter set to obtain position coordinates, and generating an initial optimization solution based on the position coordinates includes:

[0175] Using a deep neural network to perform mapping calculation according to the optimization parameter set to obtain position coordinates, wherein the position coordinates include the position coordinates of the material to be optimized and the position coordinates of the device to be optimized;

[0176] The grid units of the optimization position are divided according to the position coordinates, and the grid units and corresponding parameter values ​​are combined to obtain an initial optimization solution.

[0177] Optionally, performing signal transmission simulation according to the initial optimization scheme, obtaining signal parameters of the simulation process, and determining a transmission quality evaluation result according to the signal parameters includes:

[0178] After adjusting the three-dimensional geometric model according to the initial optimization scheme to obtain an adjusted model, constructing a simulated transmission line diagram in the adjusted model and performing a signal transmission simulation, obtaining signal parameters of the simulation process;

[0179] The value of the signal parameter is compared with a preset signal value to obtain a transmission quality evaluation result.

[0180] Optionally, the adopting the transmission quality evaluation result and the initial optimization scheme to construct an interference immunity optimization scheme includes:

[0181] If the transmission quality evaluation result meets the evaluation requirements, the parameters of the initial optimization scheme are adjusted according to the operating parameters of the flexible device to be optimized through a genetic algorithm to obtain an anti-interference optimization scheme, wherein the operating parameters are compensation parameters that are calculated based on the working status of the flexible device to be optimized by real-time monitoring of the working status.

[0182] Those skilled in the art can clearly understand that, for the sake of convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0183] Furthermore, an embodiment of the present application also provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for optimizing the anti-interference performance of the flexible device as described in the above embodiment is implemented.

[0184] Furthermore, an embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer-executable program, and the computer-executable program is used to enable a computer to execute the method for optimizing the anti-interference performance of a flexible device as described in the above embodiment.

[0185] It should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", etc. is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. When an element such as a layer, region or substrate is referred to as being "on" or "above" another element, it can be directly on the other element, or there can also be an intermediate element. On the contrary, when an element is referred to as "directly on" or "above" another element, there is no intermediate element. It should also be understood that when an element is referred to as being "under" or "below" another element, it can be directly under or below the other element, or there can also be an intermediate element. On the contrary, when an element is referred to as being "directly under" or "below" another element, there is no intermediate element. Unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0186] Those skilled in the art will appreciate that the embodiments of the present application may also provide computer program products. Therefore, the present application may adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application may adopt the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program codes.

[0187] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), apparatuses, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0188] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0189] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0190] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for optimizing the anti-interference performance of a flexible device, characterized in that: The method comprises: Establishing a three-dimensional geometric model of the flexible device to be optimized, determining stress parameters according to the three-dimensional geometric model, and determining material optimization information according to the stress parameters; Based on the circuit structure of the flexible device to be optimized, obtaining electrical parameters of the electromagnetic field distribution of the flexible device to be optimized, and determining circuit optimization information according to the electrical parameters; Using a random forest classifier to calculate importance scoring parameters of the material optimization information and the circuit optimization information, and extracting optimization parameters from the material optimization information and the circuit optimization information according to the importance scoring parameters to obtain an optimization parameter set; Mapping the optimization parameter set using a deep neural network to obtain position coordinates, and generating an initial optimization solution based on the position coordinates; Performing signal transmission simulation according to the initial optimization scheme, obtaining signal parameters of the simulation process, and determining a transmission quality evaluation result according to the signal parameters; An anti-interference optimization scheme is constructed using the transmission quality evaluation result and the initial optimization scheme, and optimization processing is performed according to the anti-interference optimization scheme.

2. The method for optimizing the anti-interference performance of a flexible device according to claim 1, characterized in that: The step of establishing a three-dimensional geometric model of the flexible device to be optimized, determining stress parameters according to the three-dimensional geometric model, and determining material optimization information according to the stress parameters includes: After obtaining geometric parameters of the flexible device to be optimized, establishing a three-dimensional geometric model according to the geometric parameters; The Newton-Raphson algorithm is used to solve the displacement field of the mesh of the three-dimensional geometric model, and a stress-strain distribution diagram of the flexible device is constructed according to the Gaussian integral formula and the solution result of the displacement field solution; Extracting stress nodes in the stress concentration area from the stress-strain distribution diagram, and calculating equivalent stress values ​​of the stress nodes according to the von Mises yield criterion; A target stress value whose value does not meet the preset stress value is selected from the multiple equivalent stress values, and the material whose stress node corresponding to the target stress value is in the area of ​​the stress-strain distribution diagram is determined to obtain material optimization information.

3. The method for optimizing the anti-interference performance of a flexible device according to claim 1, characterized in that: The step of acquiring electrical parameters of the electromagnetic field distribution of the flexible device to be optimized based on the circuit structure of the flexible device to be optimized, and determining circuit optimization information according to the electrical parameters, includes: Building an electromagnetic model based on the circuit structure of the flexible device to be optimized, intercepting the conductor area and the dielectric area of ​​the electromagnetic model based on a tetrahedral mesh to obtain a conductor image and a dielectric image; Identify the conductor image and the dielectric image to obtain electrical parameters, wherein the electrical parameters include conductivity parameters of the conductor region of the conductor image and dielectric constant parameters of the dielectric region of the dielectric image; Iterative calculation is performed using a finite difference time domain method and the electrical parameters within the curvature radius of the flexible substrate of the flexible device to be optimized to obtain electromagnetic field distribution data; After extracting the electric field strength value between the flexible substrate and the wire of the flexible device to be optimized from the electromagnetic field distribution data, windowing the electric field strength value and performing Fourier transformation through a Hanning window function to obtain a frequency domain variation curve of the capacitance parameter of the flexible device to be optimized; If the capacitance parameter of the flexible device to be optimized does not meet the preset capacitance constraint condition, the characteristic impedance of the conductor at each curvature point is calculated according to the frequency domain variation curve, and the conductor parameters are calculated by the microstrip line impedance formula, wherein the conductor parameters include: the width and spacing of the conductor; The wiring optimizer is used to optimize the conductor layout of the flexible device to be optimized, and circuit optimization information that meets the preset line constraint conditions is obtained.

4. The method for optimizing the anti-interference performance of a flexible device according to claim 1, characterized in that: The random forest classifier is used to calculate the importance score parameters of the material optimization information and the circuit optimization information, and optimization parameters are extracted from the material optimization information and the circuit optimization information according to the importance score parameters to obtain an optimization parameter set, including: Extracting spatial distribution data of stress field from the material optimization information and extracting spatial distribution data of electromagnetic field from the circuit optimization information; A random forest classifier is used to calculate importance scoring parameters according to the spatial distribution data of the stress field and the spatial distribution data of the electromagnetic field, wherein the importance scoring parameters include: importance scores of material thickness, dielectric constant, bonding strength, and wire width; Based on the minimum mean square error criterion, parameters whose contribution rates exceed preset contribution rates are screened from the importance score parameters to obtain an optimized parameter set.

5. The method for optimizing the anti-interference performance of a flexible device according to claim 1, characterized in that: The using of a deep neural network to map the optimization parameter set to obtain position coordinates, and generating an initial optimization scheme based on the position coordinates, includes: Using a deep neural network to perform mapping calculation according to the optimization parameter set to obtain position coordinates, wherein the position coordinates include the position coordinates of the material to be optimized and the position coordinates of the device to be optimized; The grid units of the optimization position are divided according to the position coordinates, and the grid units and corresponding parameter values ​​are combined to obtain an initial optimization solution.

6. The method for optimizing the anti-interference performance of a flexible device according to claim 1, characterized in that: The performing of signal transmission simulation according to the initial optimization scheme, obtaining signal parameters of the simulation process, and determining the transmission quality evaluation result according to the signal parameters includes: After adjusting the three-dimensional geometric model according to the initial optimization scheme to obtain an adjusted model, constructing a simulated transmission line diagram in the adjusted model and performing a signal transmission simulation, obtaining signal parameters of the simulation process; The value of the signal parameter is compared with a preset signal value to obtain a transmission quality evaluation result.

7. The method for optimizing the anti-interference performance of a flexible device according to claim 1, characterized in that: The adopting the transmission quality evaluation result and the initial optimization scheme to construct an interference immunity optimization scheme comprises: If the transmission quality evaluation result meets the evaluation requirements, the parameters of the initial optimization scheme are adjusted according to the operating parameters of the flexible device to be optimized through a genetic algorithm to obtain an anti-interference optimization scheme, wherein the operating parameters are compensation parameters that are calculated based on the working status of the flexible device to be optimized by real-time monitoring of the working status.

8. A device for optimizing the anti-interference performance of a flexible device, characterized in that: The device comprises: A material optimization information module, used to establish a three-dimensional geometric model of the flexible device to be optimized, determine stress parameters according to the three-dimensional geometric model, and determine material optimization information according to the stress parameters; A circuit optimization information module, used to obtain electrical parameters of the electromagnetic field distribution of the flexible device to be optimized based on the circuit structure of the flexible device to be optimized, and determine circuit optimization information according to the electrical parameters; an optimization parameter module, configured to calculate importance score parameters of the material optimization information and the circuit optimization information using a random forest classifier, and extract optimization parameters from the material optimization information and the circuit optimization information according to the importance score parameters to obtain an optimization parameter set; An initial solution module, used to map the optimization parameter set using a deep neural network to obtain position coordinates, and generate an initial optimization solution based on the position coordinates; An evaluation result module is used to perform signal transmission simulation according to the initial optimization scheme, obtain signal parameters of the simulation process, and determine the transmission quality evaluation result according to the signal parameters; The optimization processing module is used to construct an anti-interference optimization scheme by using the transmission quality evaluation result and the initial optimization scheme, and perform optimization processing according to the anti-interference optimization scheme.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for optimizing the anti-interference performance of a flexible device as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer-executable program, and the computer-executable program is used to enable a computer to execute the anti-interference optimization method of a flexible device according to any one of claims 1 to 7.

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