A method and system for spray coating of a composite coated vascular stent

Abstract

The application discloses a kind of composite coating vascular stent spraying control method and system, it is related to medical instrument technical field, the method includes: calling composite coating database;Material in coating preparation record is carried out fitness evaluation;Membrane digital model is simulated to drug penetration, and membrane thickness-theoretical unit permeation amount corresponding list is generated;Membrane thickness-unit permeation amount corresponding list is adjusted, and membrane thickness-actual unit permeation amount corresponding list is obtained;Predetermined stent size and predetermined drug release demand are read in turn, and spraying thickness decision is generated in combination with the membrane thickness-actual unit permeation amount corresponding list;Spraying process is optimized;First spraying scheme and second spraying scheme are generated, and target spraying scheme is formed.The application solves the technical problems that the existing technology due to the unreasonable material ratio of composite coating, leading to the poor biological patency performance of stent, the drug release speed cannot be released as required, which affects the application effect of stent.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, specifically to a spraying control method and system for a composite coated vascular stent. Background Technology

[0002] With the continuous advancement of medical technology, vascular stents, as an important medical device, have been widely used in the treatment of cardiovascular diseases. However, existing technologies have technical problems such as poor bio-patency performance of composite-coated vascular stents due to unreasonable material ratios in the composite coating, which is not conducive to the long-term use of the stent. At the same time, the inability of the contained drugs to be released at the required rate affects the actual application effect of the stent. Summary of the Invention

[0003] This application provides a spraying control method and system for composite coated vascular stents, which addresses the technical problems in the prior art where drugs cannot be released at the required rate and stent patency is poor.

[0004] In view of the above problems, this application provides a spraying control method and system for composite coated vascular stents.

[0005] The first aspect of this application provides a method for controlling the spraying of a composite-coated vascular stent, the method comprising:

[0006] The process involves accessing a composite coating database, which includes multiple historical composite coating formulation records, including a first historical composite coating formulation record. Adaptability assessments are performed on various materials with proportion identifiers in the first historical composite coating formulation record to determine the optimal composite coating. Based on drug permeation simulation records obtained from drug permeation simulation of a diaphragm digital model, a diaphragm thickness-theoretical unit permeation volume correspondence list is generated. The diaphragm digital model refers to a three-dimensional model of the diaphragm between the composite coatings. The diaphragm thickness-unit permeation volume correspondence list is adjusted based on a permeation adjustment coefficient determined according to the drug proportion information in the optimal composite coating to obtain a diaphragm thickness-actual unit permeation volume correspondence list. The system sequentially reads the predetermined stent size and predetermined drug release requirements, and generates a coating thickness decision based on the corresponding list of diaphragm thickness and actual unit permeation volume. The coating thickness decision includes the composite coating thickness and the diaphragm coating thickness. A predetermined coating fitness function is invoked to optimize the coating process under predetermined coating constraints, resulting in an optimal coating process. The optimal coating process includes an optimal composite coating process and an optimal diaphragm coating process. A first coating scheme is generated based on the composite coating thickness and the optimal composite coating process, and a second coating scheme is generated based on the diaphragm coating thickness and the optimal diaphragm coating process. These two schemes form a target coating scheme, which is used to control the coating of the composite coated vascular stent.

[0007] A second aspect of this application provides a spraying control system for a composite-coated vascular stent, the system comprising:

[0008] The system includes: a database reading module that accesses a composite coating database containing multiple historical composite coating formulation records, including a first historical composite coating formulation record; a fitness evaluation module that evaluates the fitness of various materials with proportion identifiers in the first historical composite coating formulation record to determine the optimal composite coating; a correspondence list generation module that generates a correspondence list of diaphragm thickness and theoretical unit permeation based on drug permeation simulation records obtained from drug permeation simulation of a diaphragm digital model, where the diaphragm digital model refers to a three-dimensional model of the diaphragm between composite coatings; and a correspondence list adjustment module that adjusts the diaphragm thickness-unit permeation correspondence list according to a permeation adjustment coefficient determined based on the drug proportion information in the optimal composite coating, to obtain a correspondence list of diaphragm thickness-actual unit permeation. The system includes: a unit permeation volume correspondence list; a coating thickness decision generation module, which sequentially reads the predetermined stent size and predetermined drug release requirements, and generates a coating thickness decision based on the diaphragm thickness-actual unit permeation volume correspondence list, including the composite coating thickness and the diaphragm coating thickness; a coating process optimization module, which calls a predetermined coating fitness function to optimize the coating process under predetermined coating constraints to obtain the optimal coating process, including the optimal composite coating coating process and the optimal diaphragm coating process; and a coating scheme generation module, which generates a first coating scheme based on the composite coating thickness and the optimal composite coating coating process, and a second coating scheme based on the diaphragm coating thickness and the optimal diaphragm coating process, forming a target coating scheme, which is used to control the coating of the composite coating vascular stent.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] This application addresses the issues in existing technologies where improper material ratios in composite coatings lead to poor stent patency and untimely drug release. It achieves improved stent patency by accessing a composite coating database, evaluating the suitability of materials in coating formulation records, simulating drug permeation on a digital diaphragm model, generating a list of diaphragm thickness versus theoretical permeation rate, adjusting this list to obtain a list of actual permeation rate versus diaphragm thickness, and sequentially reading predetermined stent dimensions and drug release requirements. It then uses this diaphragm thickness versus actual permeation rate list to generate a spraying thickness decision, optimizes the spraying process, and generates a first and a second spraying scheme to form the target spraying scheme. This invention solves the problems of poor stent biopatency and untimely drug release caused by improper material ratios in composite coatings, achieving better control over drug release rate and improved stent patency. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A schematic flowchart of a spraying control method for a composite coating vascular stent provided in this application embodiment;

[0013] Figure 2 A schematic diagram of the process optimization for spraying in a spraying control method for a composite coated vascular stent provided in this application embodiment;

[0014] Figure 3 This is a schematic diagram of a spraying control system for a composite coated vascular stent provided in an embodiment of this application.

[0015] Figure labeling: Database reading module 11, fitness evaluation module 12, corresponding list generation module 13, corresponding list adjustment module 14, coating thickness decision generation module 15, coating process optimization module 16, coating scheme generation module 17. Detailed Implementation

[0016] This application provides a spraying control method and system for composite coated vascular stents, which addresses the technical problem in the prior art where the spraying speed of vascular stents cannot be controlled according to actual needs. Through various calculations and analyses, a stent spraying scheme that meets actual needs is obtained, and then spraying control is performed based on this scheme to achieve the technical effects of controlling the drug spraying speed and improving stent patency.

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0019] Example 1

[0020] like Figure 1 As shown, this application provides a method for controlling the spraying of a composite-coated vascular stent, the method comprising:

[0021] Step S100: Call the composite coating database, which includes multiple historical composite coating formulation records, including a first historical composite coating formulation record;

[0022] In this embodiment, the composite coating database stores various data related to composite coatings, including not only current and historical coating formulation information, but also detailed data on coating performance, material properties, and configuration parameters. By accessing the composite coating database, historical composite coating formulation records are retrieved. These historical records include a first historical composite coating formulation record, which represents an early coating formulation attempt or a coating closest to the current optimized state. The first historical composite coating formulation record records information about the coating composition, the proportions of each component, and the physical and chemical properties of the coating.

[0023] Step S200: Evaluate the suitability of various materials with proportioning identifiers in the first historical composite coating formulation record to determine the optimal composite coating;

[0024] In this embodiment, an adaptability evaluation criterion is first determined, based on coating performance parameters such as mechanical strength, corrosion resistance, and drug release characteristics. Then, a linear regression model is established based on historical data and current requirements to evaluate the adaptability of different material ratios. The evaluation model is trained using historical data to predict corresponding adaptability values ​​based on material ratios. The model is tested and validated using an independent test dataset, and then optimized based on the test results to improve its predictive performance.

[0025] Using the established evaluation model, various materials with proportion identifiers in the first historical composite coating formulation record were evaluated one by one. The performance predictions for each material proportion were analyzed, and they were sorted or screened according to preset fitness criteria. Based on the evaluation results, the material proportion with the best fitness was selected as the optimal composite coating. When determining the optimal composite coating, a threshold or priority can be set to determine which proportions are acceptable or optimal in performance.

[0026] Step S300: Based on the drug permeation simulation record obtained by performing drug permeation simulation on the diaphragm digital model, generate a list corresponding to diaphragm thickness and theoretical unit permeation volume. The diaphragm digital model refers to the three-dimensional model of the diaphragm between the composite coatings.

[0027] In this embodiment, the diaphragm digital model refers to a three-dimensional model of the diaphragm between the composite coatings. This model is based on the structure and properties of the actual diaphragm and aims to simulate the transport and diffusion behavior of drugs within the diaphragm. Appropriate simulation tools or software are used to simulate the drug permeation behavior within the diaphragm digital model. During the simulation, relevant drug parameters, such as molecular weight, solubility, and diffusion coefficient, need to be input. The drug permeation simulation generates a series of records or outputs, including the distribution, concentration changes, and diffusion paths of the drug within the diaphragm at different time points. These results are recorded as data points, forming the drug permeation simulation record.

[0028] Based on drug permeation simulation records, the permeation behavior of the drug under different diaphragm thicknesses is analyzed. During the analysis, key data points need to be extracted, such as the theoretical permeation rate per unit area at a specific thickness, for example, the permeation rate per unit area per unit time. These data points are then sorted and organized according to diaphragm thickness to generate a list corresponding to diaphragm thickness and theoretical permeation rate per unit area.

[0029] Step S400: Adjust the membrane thickness-unit permeation volume correspondence list according to the permeation adjustment coefficient determined based on the drug ratio information in the optimal composite coating to obtain the membrane thickness-actual unit permeation volume correspondence list;

[0030] In this embodiment, key drug ratio information is extracted from the formulation record of the optimal composite coating. This information includes the content or proportion of the drug in the composite coating. Based on the extracted drug ratio information, a permeation adjustment coefficient is determined. The permeation adjustment coefficient is a relative value used to reflect the influence of drug concentration or content on permeation performance.

[0031] Using a defined permeation adjustment coefficient, the table of correspondences between diaphragm thickness and unit permeation is adjusted. The adjustment process includes correcting or recalculating existing data points to reflect the impact of changes in drug ratios on permeation performance. After adjustment, a new table of correspondences between diaphragm thickness and actual unit permeation is generated. This table more accurately reflects the permeation performance of the drug in an optimal composite coating with a specific drug ratio.

[0032] Step S500: Read the predetermined stent size and predetermined drug release requirements sequentially, and generate a coating thickness decision by combining the diaphragm thickness - actual unit permeation volume corresponding list. The coating thickness decision includes the composite coating thickness and the diaphragm coating thickness.

[0033] In this embodiment, the predetermined stent dimensions, including stent length, diameter, shape, and other parameters, are first read. Then, the predetermined drug release requirement is obtained, which is the amount of drug required per unit time, i.e., the required actual unit permeation rate. Next, based on the diaphragm thickness-actual unit permeation rate correspondence list, the required diaphragm thickness and composite coating thickness are determined for a given stent and predetermined drug release requirements. Based on the determined results, a coating thickness decision is generated. The coating thickness decision includes the coating thickness of the composite coating and the coating thickness of the diaphragm.

[0034] Step S600: Call the predetermined spraying fitness function to optimize the spraying process under the predetermined spraying constraints to obtain the optimal spraying process, wherein the optimal spraying process includes the optimal composite coating spraying process and the optimal diaphragm spraying process.

[0035] In this embodiment, the predetermined spraying fitness function is a mathematical model or algorithm used to evaluate the performance of a spraying process. This function evaluates the potential effects of different spraying processes based on predetermined performance indicators, such as coating thickness, uniformity, and adhesion. Predetermined spraying constraints include coating thickness range, paint usage limit, spraying speed range, and spraying pressure threshold. The setting of these constraints depends on actual production conditions and resource limitations.

[0036] Under predetermined spraying constraints, a variety of possible spraying processes are evaluated and compared using a predetermined spraying fitness function. Through iterative or optimization algorithms, the spraying process with the best fitness under the constraints is found. The optimal spraying process is the best combination of process parameters obtained through the optimization process. This includes the optimal composite coating spraying process and the optimal diaphragm spraying process. For composite coatings, process parameters include paint formulation, spraying pressure, nozzle position, etc.; for diaphragms, parameters include diaphragm thickness, material type, etc.

[0037] Step S700: Generate a first spraying scheme based on the composite coating spraying thickness and the optimal composite coating spraying process; generate a second spraying scheme based on the diaphragm spraying thickness and the optimal diaphragm spraying process; and form a target spraying scheme, which is used to control the spraying of the composite coating vascular stent.

[0038] In this embodiment, the desired composite coating thickness is extracted from the coating thickness decision. An optimal composite coating spraying process matching this thickness is extracted, including key parameters such as the paint formulation, spraying pressure, and nozzle position. Based on the extracted composite coating thickness and the optimal composite coating spraying process, a first spraying scheme is generated. This first spraying scheme is specifically designed for composite coatings to ensure uniform and accurate spraying of the composite coating on the support.

[0039] The desired diaphragm coating thickness is extracted from the coating thickness decision. The optimal diaphragm coating process matching this thickness is then extracted, including key details such as the type of material used and coating parameters. Based on the extracted diaphragm coating thickness and the optimal diaphragm coating process, a second coating scheme is generated. This second coating scheme is specifically designed for the diaphragm to ensure accurate and uniform coating of the diaphragm on the support structure.

[0040] The first and second spraying schemes are combined into a complete target spraying scheme. This target spraying scheme is a comprehensive guidance document for precise spraying control of the composite-coated vascular stent. Based on the target spraying scheme, the actual spraying control of the composite-coated vascular stent begins.

[0041] Furthermore, the method also includes:

[0042] Extract the performance of the first historical composite coating from the first historical composite coating formulation record based on the predetermined coating performance index.

[0043] The performance of the first historical composite coating was normalized and weighted using the principle of the coefficient of variation to obtain the first coating fitness.

[0044] A target composite coating registration-fitness correspondence list is constructed based on the first correspondence between the first coating fitness and the various materials with proportioning identifiers;

[0045] The optimal composite coating is obtained according to the target composite coating registration-fitness correspondence list, and the optimal composite coating corresponds to the maximum coating fitness.

[0046] In this embodiment of the application, relevant performance data is extracted from a first historical composite coating formulation record based on predetermined coating performance indicators. These performance indicators include, but are not limited to, coating thickness, uniformity, adhesion, and durability.

[0047] The extracted historical composite coating performance was normalized using the coefficient of variation principle. Normalization converts performance indicators with different dimensions into a unified standard, facilitating subsequent comparison and analysis. Furthermore, weighted calculations using the coefficient of variation highlight indicators with significant performance differences, providing more targeted guidance for subsequent optimization.

[0048] The first coating fitness, calculated using normalized weighted averages, is associated with and mapped to various materials with proportioning identifiers. Through this mapping, a target composite coating registration-fitness mapping list is constructed.

[0049] Based on the target composite coating registration-fitness correspondence list, identify the material combination with the maximum coating fitness. This material combination with the maximum coating fitness is the optimal composite coating. The optimal composite coating is the coating combination that performs best after normalized weighted calculation while meeting predetermined coating performance indicators.

[0050] Furthermore, the method also includes:

[0051] The predetermined coating performance indicators include blood compatibility, anticoagulant ability, and cell compatibility.

[0052] In this application embodiment, the coating performance indicators include blood compatibility, anticoagulant ability, and cell compatibility. Blood compatibility refers to the coating's ability to interact with blood. Anticoagulant ability refers to the coating's ability to prevent blood clotting and thrombus formation. Cell compatibility refers to the coating's ability to interact with human cells.

[0053] Furthermore, the method also includes:

[0054] The diaphragm coating thickness is determined based on the table corresponding to the predetermined drug release requirements and the diaphragm thickness - actual unit permeation.

[0055] The thickness of the composite coating is determined based on the predetermined bracket size and the diaphragm coating thickness.

[0056] The diaphragm coating thickness and the composite coating thickness together constitute the coating thickness decision.

[0057] In this embodiment, a membrane thickness corresponding to the actual unit permeation rate is consulted based on the predetermined drug release requirements to find a membrane thickness that meets the requirements. Based on the found membrane thickness, the corresponding coating thickness is determined to satisfy the predetermined drug release requirements. The area and range to be coated are determined based on the predetermined support size and the membrane coating thickness. The coating thickness of the composite coating is then determined based on the determined area and range.

[0058] The determined diaphragm coating thickness and composite coating thickness are combined to form the coating thickness decision. The coating thickness decision is a comprehensive guidance document used to guide subsequent coating operations and ensure that the coating thickness meets the predetermined requirements.

[0059] Furthermore, such as Figure 2 As shown, step S600 in the method provided in the application embodiment further includes:

[0060] The predetermined spraying constraints include a predetermined spraying pressure threshold and a predetermined spraying speed threshold;

[0061] The first spraying pressure and the first spraying speed are randomly extracted sequentially from the predetermined spraying pressure threshold and the predetermined spraying speed threshold.

[0062] Obtain a first spraying bracket for spraying the first spraying material based on the first spraying pressure and the first spraying speed;

[0063] The first spraying fitness function is called to analyze the first bracket spraying characteristics of the first spraying bracket to obtain the first spraying fitness.

[0064] A first pressure neighborhood of the first spraying pressure is obtained by combining the predetermined spraying pressure threshold, and a first speed neighborhood of the first spraying speed is obtained by combining the predetermined spraying speed threshold.

[0065] A first optimal neighborhood spraying scheme is determined based on the first pressure neighborhood and the first velocity neighborhood.

[0066] Determine whether the first neighborhood spraying fitness of the first neighborhood spraying bracket under the first optimal neighborhood spraying scheme is greater than the first spraying fitness;

[0067] If the values ​​are greater than the values, the first optimal neighborhood spraying pressure and the first optimal neighborhood spraying speed from the first optimal neighborhood spraying scheme are added to the optimal composite coating spraying process.

[0068] In this embodiment, the predetermined spraying pressure threshold is a predetermined spraying pressure range used to ensure the stability of the spraying process and the reliability of the coating quality. The predetermined spraying speed threshold is a predetermined spraying speed range used to control the thickness and uniformity of the coating. A pressure value and a speed value are randomly selected from the predetermined spraying pressure threshold and the predetermined spraying speed threshold as the first spraying pressure and the first spraying speed. The first spraying material is sprayed using the first spraying pressure and the first spraying speed to obtain the first spraying bracket.

[0069] A predetermined spraying fitness function is invoked to analyze the spraying characteristics of the first spraying bracket. Based on the analysis results, a first spraying fitness is obtained, which is used to evaluate the effectiveness of the current spraying process.

[0070] By combining a predetermined spraying pressure threshold, a first pressure neighborhood associated with the first spraying pressure is determined. By combining a predetermined spraying speed threshold, a first speed neighborhood associated with the first spraying speed is determined. Based on the first pressure neighborhood and the first speed neighborhood, an optimal neighborhood spraying scheme, i.e., the first optimal neighborhood spraying scheme, is determined.

[0071] Based on the first optimal neighborhood spraying scheme, recalculate the spraying adaptability within the neighborhood. Determine whether the neighborhood spraying adaptability of the first neighborhood spraying bracket is greater than the first spraying adaptability. If the neighborhood spraying adaptability is greater than the first spraying adaptability, add the pressure and speed from the first optimal neighborhood spraying scheme to the optimal composite coating spraying process.

[0072] Furthermore, the method also includes:

[0073] The first bracket coating features include the surface properties of the first bracket coating and the first bracket coating efficiency;

[0074] The predetermined coating fitness function is called to analyze the coating surface performance and coating efficiency of the first bracket, and the first coating fitness is obtained. The expression of the predetermined coating fitness function is as follows:

[0075] f(x) = αA(x) + βB(x);

[0076] Where f(x) represents the first coating adaptability, A(x) and B(x) represent the normalized results of the coating surface performance and coating efficiency of the first support, respectively, and α and β represent the first coefficient and the second coefficient, respectively.

[0077] In this embodiment, the surface performance of the first support is used to evaluate the quality of the coating surface, such as surface smoothness and surface bioactivity. The first support spraying efficiency is used to measure the efficiency of the spraying process, including coating thickness and coating coverage.

[0078] The surface performance and spraying efficiency of the first support are normalized, converting performance indicators with different dimensions into a unified standard. This calculation process includes, but is not limited to, max-min normalization and standardization. The normalized results of the surface performance and spraying efficiency of the first support are obtained through calculation. A first coefficient and a second coefficient are used to adjust the weights of surface performance and efficiency in the predetermined spraying fitness function. By adjusting these coefficients, different emphases on surface performance and efficiency can be applied according to actual needs and objectives. These data are then substituted into the expression of the predetermined spraying fitness function to calculate the first spraying fitness.

[0079] Furthermore, the method also includes:

[0080] The first unit amount of the first sprayed material is determined by combining the optimal composite coating spraying process;

[0081] The first spraying time is obtained based on the composite coating thickness and the first unit spraying material amount;

[0082] The first spraying time is added to the optimal composite coating spraying process to form the first spraying scheme.

[0083] In this embodiment of the application, the first unit amount of sprayed material required for the first sprayed material is determined based on the optimal composite coating spraying process and the desired coating performance indicators. The first unit amount of sprayed material is the amount of material sprayed per unit time.

[0084] The first spraying time is calculated based on the amount of material to be sprayed per unit and the required thickness of the composite coating. The spraying time is the time required to complete one spraying cycle, and it is related to factors such as the material flow rate and the speed of the spray gun. The first spraying time is added to the optimal composite coating spraying process to form a complete first spraying scheme.

[0085] In summary, the embodiments of this application have at least the following technical effects:

[0086] This application addresses the issues in existing technologies where improper material ratios in composite coatings lead to poor stent patency and untimely drug release. It achieves improved stent patency by accessing a composite coating database, evaluating the suitability of materials in coating formulation records, simulating drug permeation on a digital diaphragm model, generating a list of diaphragm thickness versus theoretical permeation rate, adjusting this list to obtain a list of actual permeation rate versus diaphragm thickness, and sequentially reading predetermined stent dimensions and drug release requirements. It then uses this diaphragm thickness versus actual permeation rate list to generate a spraying thickness decision, optimizes the spraying process, and generates a first and a second spraying scheme to form the target spraying scheme. This invention solves the problems of poor stent biopatency and untimely drug release caused by improper material ratios in composite coatings, achieving better control over drug release rate and improved stent patency.

[0087] Example 2

[0088] Based on the same inventive concept as the spraying control method for a composite coated vascular stent in the foregoing embodiments, such as Figure 3 As shown, this application provides a spraying control system for composite coated vascular stents. The system and method embodiments in this application are based on the same inventive concept. The system includes:

[0089] Database reading module 11 calls composite coating database, which includes multiple historical composite coating formulation records, including a first historical composite coating formulation record;

[0090] The fitness evaluation module 12 evaluates the fitness of various materials with proportioning identifiers in the first historical composite coating formulation record to determine the optimal composite coating.

[0091] The corresponding list generation module 13 is used to generate a corresponding list of diaphragm thickness and theoretical unit permeation volume based on the drug permeation simulation record obtained by performing drug permeation simulation on the diaphragm digital model. The diaphragm digital model refers to the three-dimensional model of the diaphragm between the composite coatings.

[0092] The corresponding list adjustment module 14 adjusts the membrane thickness-unit permeation corresponding list according to the permeation adjustment coefficient determined based on the drug ratio information in the optimal composite coating, so as to obtain the membrane thickness-actual unit permeation corresponding list.

[0093] The coating thickness decision generation module 15 reads the predetermined stent size and predetermined drug release requirements in sequence, and generates a coating thickness decision by combining the diaphragm thickness-actual unit permeation volume correspondence list. The coating thickness decision includes the composite coating thickness and the diaphragm coating thickness.

[0094] The spraying process optimization module 16 calls a predetermined spraying fitness function to optimize the spraying process under predetermined spraying constraints, and obtains the optimal spraying process. The optimal spraying process includes the optimal composite coating spraying process and the optimal diaphragm spraying process.

[0095] The spraying scheme generation module 17 generates a first spraying scheme based on the composite coating spraying thickness and the optimal composite coating spraying process, generates a second spraying scheme based on the diaphragm spraying thickness and the optimal diaphragm spraying process, and forms a target spraying scheme, which is used to control the spraying of the composite coating vascular stent.

[0096] Furthermore, the system also includes:

[0097] Extract the performance of the first historical composite coating from the first historical composite coating formulation record based on the predetermined coating performance index.

[0098] The performance of the first historical composite coating was normalized and weighted using the principle of the coefficient of variation to obtain the first coating fitness.

[0099] A target composite coating registration-fitness correspondence list is constructed based on the first correspondence between the first coating fitness and the various materials with proportioning identifiers;

[0100] The optimal composite coating is obtained according to the target composite coating registration-fitness correspondence list, and the optimal composite coating corresponds to the maximum coating fitness.

[0101] Furthermore, the system also includes:

[0102] The predetermined coating performance indicators include blood compatibility, anticoagulant ability, and cell compatibility.

[0103] Furthermore, the system also includes:

[0104] The diaphragm coating thickness is determined based on the table corresponding to the predetermined drug release requirements and the diaphragm thickness - actual unit permeation.

[0105] The thickness of the composite coating is determined based on the predetermined bracket size and the diaphragm coating thickness.

[0106] The diaphragm coating thickness and the composite coating thickness together constitute the coating thickness decision.

[0107] Furthermore, the system also includes:

[0108] The predetermined spraying constraints include a predetermined spraying pressure threshold and a predetermined spraying speed threshold;

[0109] The first spraying pressure and the first spraying speed are randomly extracted sequentially from the predetermined spraying pressure threshold and the predetermined spraying speed threshold.

[0110] Obtain a first spraying bracket for spraying the first spraying material based on the first spraying pressure and the first spraying speed;

[0111] The first spraying fitness function is called to analyze the first bracket spraying characteristics of the first spraying bracket to obtain the first spraying fitness.

[0112] A first pressure neighborhood of the first spraying pressure is obtained by combining the predetermined spraying pressure threshold, and a first speed neighborhood of the first spraying speed is obtained by combining the predetermined spraying speed threshold.

[0113] A first optimal neighborhood spraying scheme is determined based on the first pressure neighborhood and the first velocity neighborhood.

[0114] Determine whether the first neighborhood spraying fitness of the first neighborhood spraying bracket under the first optimal neighborhood spraying scheme is greater than the first spraying fitness;

[0115] If the values ​​are greater than the values, the first optimal neighborhood spraying pressure and the first optimal neighborhood spraying speed from the first optimal neighborhood spraying scheme are added to the optimal composite coating spraying process.

[0116] Furthermore, the system also includes:

[0117] The first bracket coating features include the surface properties of the first bracket coating and the first bracket coating efficiency;

[0118] The predetermined coating fitness function is called to analyze the coating surface performance and coating efficiency of the first bracket, and the first coating fitness is obtained. The expression of the predetermined coating fitness function is as follows:

[0119] f(x) = αA(x) + βB(x);

[0120] Where f(x) represents the first coating adaptability, A(x) and B(x) represent the normalized results of the coating surface performance and coating efficiency of the first support, respectively, and α and β represent the first coefficient and the second coefficient, respectively.

[0121] Furthermore, the system also includes:

[0122] The first unit amount of the first sprayed material is determined by combining the optimal composite coating spraying process;

[0123] The first spraying time is obtained based on the composite coating thickness and the first unit spraying material amount;

[0124] The first spraying time is added to the optimal composite coating spraying process to form the first spraying scheme.

[0125] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than that shown in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0126] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0127] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A method for controlling the spraying of a composite-coated vascular stent, characterized in that, include: The composite coating database is accessed, which includes multiple historical composite coating formulation records, including a first historical composite coating formulation record. The suitability of various materials with proportion markings in the first historical composite coating formulation record is evaluated to determine the optimal composite coating. Based on the drug permeation simulation records obtained from the drug permeation simulation of the diaphragm digital model, a list corresponding to diaphragm thickness and theoretical unit permeation is generated. The diaphragm digital model refers to the three-dimensional model of the diaphragm between the composite coatings. The list of membrane thickness-theoretical unit permeation is adjusted based on the permeation adjustment coefficient determined by the drug ratio information in the optimal composite coating to obtain the list of membrane thickness-actual unit permeation. The predetermined stent size and predetermined drug release requirements are read sequentially, and a coating thickness decision is generated by combining the diaphragm thickness - actual unit permeation volume corresponding list. The coating thickness decision includes the composite coating thickness and the diaphragm coating thickness. The optimal spraying process is obtained by calling a predetermined spraying fitness function under predetermined spraying constraints. The optimal spraying process includes the optimal composite coating spraying process and the optimal diaphragm spraying process. A first spraying scheme is generated based on the composite coating spraying thickness and the optimal composite coating spraying process; a second spraying scheme is generated based on the diaphragm spraying thickness and the optimal diaphragm spraying process; and a target spraying scheme is formed. The target spraying scheme is used to control the spraying of the composite coating vascular stent. This includes: Extract the performance of the first historical composite coating from the first historical composite coating formulation record based on the predetermined coating performance index. The performance of the first historical composite coating was normalized and weighted using the principle of the coefficient of variation to obtain the first coating fitness. A target composite coating registration-fitness correspondence list is constructed based on the first correspondence between the first coating fitness and the various materials with proportioning identifiers; The optimal composite coating is obtained according to the target composite coating registration-fitness correspondence list, and the optimal composite coating corresponds to the maximum coating fitness. This process involves sequentially reading the predetermined stent size and predetermined drug release requirements, and then generating a coating thickness decision based on the diaphragm thickness-actual unit permeation volume correspondence list. This includes: The diaphragm coating thickness is determined based on the table corresponding to the predetermined drug release requirements and the diaphragm thickness - actual unit permeation. The thickness of the composite coating is determined based on the predetermined bracket size and the diaphragm coating thickness. The diaphragm coating thickness and the composite coating thickness together constitute the coating thickness decision.

2. The method according to claim 1, characterized in that, The predetermined coating performance indicators include blood compatibility, anticoagulant ability, and cell compatibility.

3. The method according to claim 1, characterized in that, The optimal spraying process is obtained by calling a predetermined spraying fitness function under predetermined spraying constraints. The optimal spraying process includes an optimal composite coating spraying process and an optimal diaphragm spraying process, comprising: The predetermined spraying constraints include a predetermined spraying pressure threshold and a predetermined spraying speed threshold; The first spraying pressure and the first spraying speed are randomly extracted sequentially from the predetermined spraying pressure threshold and the predetermined spraying speed threshold. Obtain a first spraying bracket for spraying the first spraying material based on the first spraying pressure and the first spraying speed; The first spraying fitness function is called to analyze the first bracket spraying characteristics of the first spraying bracket to obtain the first spraying fitness. A first pressure neighborhood of the first spraying pressure is obtained by combining the predetermined spraying pressure threshold, and a first speed neighborhood of the first spraying speed is obtained by combining the predetermined spraying speed threshold. A first optimal neighborhood spraying scheme is determined based on the first pressure neighborhood and the first velocity neighborhood. Determine whether the first neighborhood spraying fitness of the first neighborhood spraying bracket under the first optimal neighborhood spraying scheme is greater than the first spraying fitness; If the values ​​are greater than the values, the first optimal neighborhood spraying pressure and the first optimal neighborhood spraying speed from the first optimal neighborhood spraying scheme are added to the optimal composite coating spraying process.

4. The method according to claim 3, characterized in that, The first spraying fitness is obtained by calling the predetermined spraying fitness function to analyze the first bracket spraying characteristics of the first spraying bracket, including: The first bracket coating features include the surface properties of the first bracket coating and the first bracket coating efficiency; The predetermined coating fitness function is called to analyze the coating surface performance and coating efficiency of the first bracket, and the first coating fitness is obtained. The expression of the predetermined coating fitness function is as follows: ； in, Characterizing the first coating adaptability, and The normalized results characterize the surface properties of the first support coating and the coating efficiency of the first support, respectively. and The first coefficient and the second coefficient are respectively represented.

5. The method according to claim 4, characterized in that, A first coating scheme is generated based on the composite coating thickness and the optimal composite coating coating process, including: The first unit amount of the first sprayed material is determined by combining the optimal composite coating spraying process; The first spraying time is obtained based on the composite coating thickness and the first unit spraying material amount; The first spraying time is added to the optimal composite coating spraying process to form the first spraying scheme.

6. A spraying control system for a composite coated vascular stent, characterized in that, The system is used to perform any one of the methods described in claims 1 to 5, the system comprising: The database reading module calls the composite coating database, which includes multiple historical composite coating formulation records, including a first historical composite coating formulation record. The fitness evaluation module evaluates the fitness of various materials with proportioning identifiers in the first historical composite coating formulation record to determine the optimal composite coating. The corresponding list generation module is used to generate a corresponding list of diaphragm thickness and theoretical unit permeation volume based on the drug permeation simulation record obtained by performing drug permeation simulation on the diaphragm digital model. The diaphragm digital model refers to the three-dimensional model of the diaphragm between the composite coatings. The corresponding list adjustment module adjusts the corresponding list of membrane thickness-theoretical unit permeation based on the permeation adjustment coefficient determined based on the drug ratio information in the optimal composite coating, so as to obtain the corresponding list of membrane thickness-actual unit permeation. The coating thickness decision generation module reads the predetermined stent size and predetermined drug release requirements in sequence, and generates a coating thickness decision by combining the diaphragm thickness-actual unit permeation volume correspondence list. The coating thickness decision includes the composite coating thickness and the diaphragm coating thickness. The spraying process optimization module calls a predetermined spraying fitness function to optimize the spraying process under predetermined spraying constraints, and obtains the optimal spraying process. The optimal spraying process includes the optimal composite coating spraying process and the optimal diaphragm spraying process. The spraying scheme generation module generates a first spraying scheme based on the composite coating spraying thickness and the optimal composite coating spraying process, generates a second spraying scheme based on the diaphragm spraying thickness and the optimal diaphragm spraying process, and forms a target spraying scheme, which is used to control the spraying of the composite coating vascular stent.

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