A method for optimizing the preparation process of ceramic composite materials based on data analysis

Abstract

The present invention provides a method for optimizing the preparation process of ceramic composite materials devices based on data analysis, which belongs to the field of data analysis technology, and specifically comprises: determining a reference preparation group in a similar parameter group by using preparation control parameters and preparation reliability of parameter preparation times of different similar parameter groups, determining reference control parameters of a reference indicator group at different stages, determining preparation failure data of ceramic composite materials devices under reference control parameters at different stages through historical preparation data, determining available reference groups in the reference indicator group by using the preparation failure data, outputting a preparation process optimization strategy for ceramic composite materials devices by using reference control parameters of different available reference groups at different stages, and improving the reliability of preparation results of ceramic composite materials devices.

Description

Technical Field

[0001] The present invention belongs to the technical field of data analysis, and in particular relates to a method for optimizing a preparation process of a ceramic composite material device based on data analysis. Background Art

[0002] Ceramic-based composites are a type of composite material that is composed of ceramics as the matrix and various fibers. They have excellent properties such as high temperature resistance, high strength and stiffness, relatively light weight, and corrosion resistance. Therefore, they are widely used in the field of 3D printing.

[0003] Therefore, in order to optimize the preparation process, the invention patent application CN202311076577.6 "A digital twin system for ceramic sintering process" optimizes the sintering parameters and process conditions of the visual sintering equipment based on the optimized control parameters, and can be controlled in real time according to the details and changes, thereby improving the production efficiency and sintering quality of ceramic materials. However, there are the following technical problems:

[0004] During the preparation process of ceramic-based composites, the process control parameters are often not static, but gradually change with the firing process. Therefore, if we only focus on the optimization of process parameters in a certain firing stage, we cannot guarantee the production efficiency and sintering quality of ceramic-based composites.

[0005] In order to solve the above-mentioned technical problems, the present invention provides a method for optimizing the preparation process of ceramic composite material devices based on data analysis. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, a method for optimizing the preparation process of a ceramic composite material device based on data analysis is provided.

[0008] A method for optimizing the preparation process of ceramic composite material devices based on data analysis, specifically comprising:

[0009] S1 determining the preparation parameters of different ceramic composite materials devices in different dimensions in the historical preparation times, and determining the preparation reliability of different historical preparation times and the reference preparation times in combination with the successful preparation data of the ceramic composite materials devices;

[0010] S2: obtaining the deviation of the preparation control parameters at different stages between the reference preparation times, dividing the reference preparation times into different similar parameter groups, and determining the reference preparation group in the similar parameter groups by using the preparation control parameters and preparation reliability of the parameter preparation times of different similar parameter groups;

[0011] S3: determining reference control parameters of the reference indicator group at different stages, determining preparation failure data of ceramic composite material devices under the reference control parameters at different stages through historical preparation data, and determining available reference groups in the reference indicator group using the preparation failure data;

[0012] S4 utilizes reference control parameters of different available reference groups at different stages to output a manufacturing process optimization strategy for ceramic composite material devices.

[0013] The beneficial effects of the present invention are:

[0014] 1. In the present application, the reference preparation times among different historical preparation times are determined by utilizing the preparation parameters and preparation success data of ceramic composite materials devices in different dimensions, thereby realizing the screening of reference preparation times with better preparation results from multiple angles such as the results of preparation parameters and the preparation success rate, and also laying the foundation for further optimizing the preparation process based on the reference preparation times, improving the success rate and the reliability of the preparation results.

[0015] 2. In the present application, reference control parameters of different available reference groups at different stages are used to output the preparation process optimization strategy for ceramic composite materials devices, thereby avoiding the technical problem of inaccurate results of preparation process optimization caused by single consideration of a certain reference preparation number, achieving accurate optimization of the preparation process, and also laying the foundation for further improving the stability and success rate of the preparation parameters of ceramic composite materials devices.

[0016] A further technical solution is that the historical preparation times are determined based on analysis results of historical preparation data of the ceramic composite material device.

[0017] A further technical solution is that the preparation success data includes a preparation success rate.

[0018] A further technical solution is that the method for determining the preparation reliability is:

[0019] The ceramic composite material devices are divided into qualified devices and unqualified devices by using the preparation parameters of the ceramic composite material devices prepared a specific number of times in different dimensions and the preparation parameter thresholds, and the preparation success rate is determined by the proportion of the number of qualified devices;

[0020] Based on the preparation parameter intervals corresponding to the preparation parameters of different qualified devices in different dimensions, the preparation parameters are divided into qualified parameters and excellent parameters, and the reliability of the preparation results of different qualified devices is determined according to the number ratio of the excellent parameters of different qualified devices;

[0021] The manufacturing reliability of a specific number of manufacturing times is determined by multiplying the average value of the manufacturing result reliability of different qualified devices by the manufacturing success rate.

[0022] A further technical solution is that the reference preparation number is a historical preparation number whose preparation reliability is within a preset reliability interval.

[0023] A further technical solution is that the reference control parameter is determined according to the average value of the reference control parameters at different stages of different reference preparation times in the reference indicator group.

[0024] A further technical solution is that the method for outputting the preparation process optimization strategy of the ceramic composite material device is:

[0025] Determine the control parameters at different stages using the average values ​​of the reference control parameters at different stages of different available reference groups;

[0026] The preparation process optimization strategy of the ceramic composite material device is output according to the control parameters at different stages.

[0027] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0030] Figure 1 It is a flow chart of a method for optimizing the manufacturing process of ceramic composite material devices based on data analysis;

[0031] Figure 2 is a flow chart of a method for preparing a reliability determination;

[0032] Figure 3 is a flow chart of a method for determining a reference preparation group within a group of similar parameters;

[0033] Figure 4 A flow chart of a method for determining an available reference group in a reference indicator group. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0035] The process control parameters of ceramic composite materials during the firing process will change with the firing stage. Therefore, when optimizing the process, it is necessary to focus on optimizing the process parameters in different firing stages to improve the production efficiency and sintering quality of ceramic-based composite materials.

[0036] Specifically, the present application optimizes the firing parameters of ceramic composite material devices by comprehensively combining the success rate of historical firing processes and the stability of sintering parameters, and specifically includes the following steps:

[0037] Preparation reliability: It is determined by using the preparation parameters and preparation success rate in the historical preparation times. Specifically, based on the preparation parameter ranges corresponding to the preparation parameters in different dimensions, the preparation parameters are divided into qualified parameters and excellent parameters, and determined based on the product of the proportion of the number of prepared devices with excellent parameters and the preparation success rate. Specifically, if the proportion is 90% and the preparation success rate is 98%, the preparation reliability is 0.882.

[0038] The reference preparation number is the historical preparation number with preparation reliability greater than 0.8.

[0039] Similar parameter groups: The reference preparation times whose deviations of the preparation control parameters at different stages are all within 5% are divided into the same group.

[0040] Reference preparation group: The group with similar parameters whose reference preparation times account for more than 20% is taken as the reference preparation group.

[0041] Available reference group: The reference preparation group whose preparation failure rate of ceramic composite materials devices under reference control parameters at different stages is less than 5% is used as the available reference group.

[0042] Output of the preparation process optimization strategy for ceramic composite material devices: Determine the firing control parameters at different stages using the average values ​​of the reference control parameters of different available reference groups at different stages, and output of the preparation process optimization strategy for ceramic composite material devices using the firing control parameters. Example

[0043] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a method for optimizing the preparation process of ceramic composite material devices based on data analysis is provided, which specifically includes:

[0044] S1 determining the preparation parameters of different ceramic composite materials devices in different dimensions in the historical preparation times, and determining the preparation reliability of different historical preparation times and the reference preparation times in combination with the successful preparation data of the ceramic composite materials devices;

[0045] Furthermore, the historical preparation times are determined based on analysis results of historical preparation data of the ceramic composite material device.

[0046] Specifically, the preparation success data includes the preparation success rate.

[0047] It is understandable that if Figure 2 As shown, the method for determining the preparation reliability is:

[0048] The ceramic composite material devices are divided into qualified devices and unqualified devices by using the preparation parameters of the ceramic composite material devices prepared a specific number of times in different dimensions and the preparation parameter thresholds, and the preparation success rate is determined by the proportion of the number of qualified devices;

[0049] Based on the preparation parameter intervals corresponding to the preparation parameters of different qualified devices in different dimensions, the preparation parameters are divided into qualified parameters and excellent parameters, and the reliability of the preparation results of different qualified devices is determined according to the number ratio of the excellent parameters of different qualified devices;

[0050] The manufacturing reliability of a specific number of manufacturing times is determined by multiplying the average value of the manufacturing result reliability of different qualified devices by the manufacturing success rate.

[0051] It should also be noted that the reference preparation number is the historical preparation number with preparation reliability within a preset reliability range.

[0052] It can also be understood that the method for determining the preparation reliability is:

[0053] The ceramic composite material devices are divided into qualified devices and unqualified devices by using the preparation parameters of the ceramic composite material devices prepared a specific number of times in different dimensions and the preparation parameter thresholds, and the preparation success rate is determined by the proportion of the number of qualified devices;

[0054] Based on the preparation parameter intervals corresponding to the preparation parameters of different qualified devices in different dimensions, the preparation parameters are divided into qualified parameters and excellent parameters, and the excellent result evaluation value is determined according to the proportion of the number of qualified devices with excellent parameters;

[0055] The preparation reliability for a specific number of preparations was determined by multiplying the excellent result evaluation value by the preparation success rate.

[0056] It can also be understood that the method for determining the preparation reliability is:

[0057] S11 divides the ceramic composite material devices into qualified devices and unqualified devices by using the preparation parameters of the ceramic composite material devices of a specific preparation number in different dimensions and the preparation parameter thresholds, and determines the preparation success rate by the proportion of the number of qualified devices to judge whether the preparation success rate meets the requirements, and if so, proceeds to the next step, and if not, determines that the specific preparation number does not belong to the reference preparation number;

[0058] S12: obtaining the number of qualified devices of the specific number of preparations, and determining whether the number of qualified devices is less than a preset number of devices. If so, proceeding to the next step; if not, proceeding to step S16;

[0059] S13, based on the preparation parameter intervals corresponding to the preparation parameters of different qualified devices in different dimensions, the preparation parameters are divided into qualified parameters and excellent parameters, and it is determined whether there are qualified devices with excellent parameters, if so, the next step is entered, if not, it is determined that the specific preparation number does not belong to the reference preparation number;

[0060] S14: taking qualified devices with excellent parameters as excellent parameter devices, and judging whether the proportion of the excellent parameter devices in the qualified devices is less than a preset proportion, if so, proceeding to the next step, if not, proceeding to step S16;

[0061] S15: obtaining the quantity ratio of excellent parameters of different excellent parameter devices, and determining the preparation excellent coefficient in combination with the quantity ratio of the excellent parameter devices in the qualified devices, and judging whether the preparation excellent coefficient is greater than a preset coefficient threshold, if so, proceeding to the next step, if not, determining that the specific preparation number does not belong to the reference preparation number;

[0062] S16 determines the reliability of the preparation results of different qualified devices according to the proportion of the number of excellent parameters of different qualified devices, and determines the preparation reliability of a specific number of preparations by multiplying the average value of the reliabilities of the preparation results of different qualified devices by the preparation success rate.

[0063] S2: obtaining the deviation of the preparation control parameters at different stages between the reference preparation times, dividing the reference preparation times into different similar parameter groups, and determining the reference preparation group in the similar parameter groups by using the preparation control parameters and preparation reliability of the parameter preparation times of different similar parameter groups;

[0064] Furthermore, the reference preparation times are divided into different similar parameter groups, specifically including:

[0065] Based on the deviation of the preparation control parameters at different stages, an average value of the deviation of the preparation control parameters at different stages is determined, and the similarity coefficient of the preparation parameters at different stages is determined using the average value of the deviation;

[0066] The parameter similarity between different reference preparation times is determined by the average value of the preparation parameter similarity coefficients at different stages, and the reference preparation times that meet the parameter similarity requirements are divided into the same similar parameter group.

[0067] It should be noted that if Figure 3 As shown, the method for determining the reference preparation group in the similar parameter group is:

[0068] Obtaining a reference preparation number of the similar parameter group, and using the reference preparation number of the similar reference group to determine data availability of the similar reference group;

[0069] Determine the parameter data deviation between the reference preparation times of the similar parameter group, and use the parameter data deviation to determine the parameter data similarity between different reference preparation times, and determine the parameter similarity coefficient of the similar reference group according to the average value of the parameter data similarity;

[0070] Determining an average value of preparation reliabilities of different reference preparation times through preparation reliabilities of different reference preparation times in the similar parameter group, and determining the data reliability of the similar reference group using the average value of the preparation reliability;

[0071] The reference value of the similar reference group is determined by using the data reliability, reference similarity coefficient and weight of data availability of the similar reference group, and the reference value is used to determine the reference preparation group in the similar parameter group.

[0072] Further, when the reference value of the similar parameter group is within a preset range, the similar parameter group is determined to be a reference preparation group.

[0073] It should also be noted that the method for determining the reference preparation group in the similar parameter group is:

[0074] Obtaining a reference preparation number of the similar parameter group, and using the reference preparation number of the similar reference group to determine data availability of the similar reference group;

[0075] Taking the reference preparation times of the similar reference group as the corresponding preparation times, determining the parameter similarities of different corresponding preparation times according to the parameter data deviation between the corresponding preparation times and other corresponding preparation times, and determining the parameter reference values ​​of different corresponding preparation times based on the parameter similarities and preparation reliability;

[0076] The reference value of the similar reference group is determined by multiplying the average value of the parameter reference values ​​of different corresponding preparation times by the data availability, and the reference value is used to determine the reference preparation group in the similar parameter group.

[0077] It should also be noted that the method for determining the reference preparation group in the similar parameter group is:

[0078] S21: obtaining the reference preparation times of the similar parameter group, and using the reference preparation times of the similar reference group to determine the data availability of the similar reference group, and judging whether the data availability of the similar reference group is greater than a preset availability coefficient, if so, proceeding to the next step, if not, proceeding to step S24;

[0079] S22: determining the parameter data deviation between the reference preparation times of the similar parameter group, and using the parameter data deviation to determine the parameter data similarity between different reference preparation times, determining the parameter similarity coefficient of the similar reference group according to the average value of the parameter data similarity, and judging whether the parameter similarity coefficient of the similar reference group is greater than a preset similarity coefficient, if so, determining the similar reference group as a reference preparation group, if not, proceeding to the next step;

[0080] S23: determining an average value of preparation reliabilities of different reference preparation times by the preparation reliabilities of different reference preparation times in the similar parameter group, and determining the data reliability of the similar reference group by using the average value of the preparation reliability, and judging whether the data reliability of the similar reference group meets the requirement, and if so, determining the similar reference group as the reference preparation group, and if not, proceeding to the next step;

[0081] S24: taking the reference preparation times of the similar reference group as the corresponding preparation times, determining the parameter similarities of different corresponding preparation times according to the parameter data deviation between the corresponding preparation times and other corresponding preparation times, and determining the parameter reference values ​​of different corresponding preparation times based on the parameter similarities and preparation reliability;

[0082] S25 determines the reference value of the similar reference group by multiplying the average value of the parameter reference values ​​of different corresponding preparation times by the data availability, and determines the reference preparation group in the similar parameter group by using the reference value.

[0083] S3: determining reference control parameters of the reference indicator group at different stages, determining preparation failure data of ceramic composite material devices under the reference control parameters at different stages through historical preparation data, and determining available reference groups in the reference indicator group using the preparation failure data;

[0084] Furthermore, the reference control parameter is determined according to the average value of the reference control parameters at different stages of different reference preparation times in the reference indicator group.

[0085] Specifically, Figure 4 As shown, the method for determining the available reference group in the reference indicator group is:

[0086] Determine the parameter deviations of different historical preparation times at different stages and the reference control parameters at different stages, and use the parameter deviations to determine the reference preparation times in the historical preparation times of the reference control parameters at different stages;

[0087] Determine the proportion of preparation failures in the reference preparation times using the preparation failure data of different reference preparation times, and determine the reliability of preparation parameters of reference control parameters at different stages using the proportion of preparation failures in the reference index preparation times;

[0088] The parameter availability coefficient of the reference indicator group is determined according to the preparation parameter reliability of the reference preparation parameters at different stages, and the available reference group in the reference indicator group is determined using the parameter availability coefficient.

[0089] It can be understood that the parameter availability coefficient of the reference index group is determined according to the preparation parameter reliability of the reference preparation parameters at different stages, specifically including:

[0090] Determine the preset reliability intervals of the reliability of the preparation parameters of the reference preparation parameters at different stages by using the preparation parameter reliability of the reference preparation parameters at different stages, and determine the preset availability coefficients corresponding to the reference preparation parameters at different stages by using the preset reliability intervals;

[0091] The parameter availability coefficient of the reference indicator group is determined according to the sum of the preset availability coefficients corresponding to the reference preparation parameters at different stages.

[0092] Furthermore, the reference preparation number is the historical preparation number whose parameter deviation from the reference control parameters at different stages is within a preset deviation range.

[0093] It should also be noted that the method for determining the available reference groups in the reference indicator group is:

[0094] Determine the parameter deviations of the reference control parameters at different stages and different historical preparation times, and use the parameter deviations to determine the reference preparation times in the historical preparation times of the reference control parameters at different stages, and judge whether the reference preparation times of the reference control parameters at different stages are all less than the preset preparation times. If so, determine that the reference indicator group does not belong to the available reference group, and if not, proceed to the next step;

[0095] The stage where the parameter preparation times meet the requirements is taken as the data reliability stage, and the preparation failure data of the reference preparation times in different data reliability stages are used to determine the proportion of preparation failures in the reference preparation times, and the preparation parameter reliability of the reference control parameter in the reference control stage is determined by using the proportion of preparation failures in the reference indicator preparation times;

[0096] Determine whether the reliability of the preparation parameters of the reference control parameters in the reference control stage all meet the requirements, if so, determine that the reference indicator group belongs to the available reference group, if not, proceed to the next step;

[0097] The reference control stage in which the reliability of the preparation parameters does not meet the requirements is regarded as an unreliable control stage, and whether the number of the unreliable control stages meets the requirements is determined. If so, the next step is entered; if not, it is determined that the reference indicator group does not belong to the available reference group;

[0098] The parameter availability coefficient of the reference indicator group is determined according to the preparation parameter reliability of the reference preparation parameters in different reference control stages, and the available reference group in the reference indicator group is determined using the parameter availability coefficient.

[0099] S4 utilizes reference control parameters of different available reference groups at different stages to output a manufacturing process optimization strategy for ceramic composite material devices.

[0100] Furthermore, the method for outputting the preparation process optimization strategy of the ceramic composite material device is:

[0101] Determine the control parameters at different stages using the average values ​​of the reference control parameters at different stages of different available reference groups;

[0102] The preparation process optimization strategy of the ceramic composite material device is output according to the control parameters at different stages.

[0103] By using the above embodiments, the present invention achieves the following beneficial effects:

[0104] 1. In the present application, the reference preparation times among different historical preparation times are determined by utilizing the preparation parameters and preparation success data of ceramic composite materials devices in different dimensions, thereby realizing the screening of reference preparation times with better preparation results from multiple angles such as the results of preparation parameters and the preparation success rate, and also laying the foundation for further optimizing the preparation process based on the reference preparation times, improving the success rate and the reliability of the preparation results.

[0105] 2. In the present application, reference control parameters of different available reference groups at different stages are used to output the preparation process optimization strategy for ceramic composite materials devices, thereby avoiding the technical problem of inaccurate results of preparation process optimization caused by single consideration of a certain reference preparation number, achieving accurate optimization of the preparation process, and also laying the foundation for further improving the stability and success rate of the preparation parameters of ceramic composite materials devices.

[0106] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0107] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0108] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A method for optimizing the preparation process of ceramic composite material devices based on data analysis, characterized in that: Specifically include: Determine the preparation parameters of different ceramic composite materials devices in different dimensions in the historical preparation times, and determine the preparation reliability of different historical preparation times and the reference preparation times in combination with the successful preparation data of the ceramic composite materials devices; Obtaining deviations of preparation control parameters at different stages between reference preparation times to divide the reference preparation times into different similar parameter groups, and determining the reference preparation group in the similar parameter groups using the preparation control parameters and preparation reliability of parameter preparation times of different similar parameter groups; Determining reference control parameters of the reference preparation group at different stages, determining preparation failure data of ceramic composite material devices under the reference control parameters at different stages through historical preparation data, and determining an available reference group in the reference preparation group using the preparation failure data; Output of the optimization strategy for the preparation process of ceramic composite devices using reference control parameters of different available reference groups at different stages; The method for determining the preparation reliability is: S11 divides the ceramic composite material devices into qualified devices and unqualified devices by using the preparation parameters of the ceramic composite material devices of a specific preparation number in different dimensions and the preparation parameter thresholds, and determines the preparation success rate by the proportion of the number of qualified devices to judge whether the preparation success rate meets the requirements, and if so, proceeds to the next step, and if not, determines that the specific preparation number does not belong to the reference preparation number; S12: obtaining the number of qualified devices of the specific number of preparations, and determining whether the number of qualified devices is less than a preset number of devices. If so, proceeding to the next step; if not, proceeding to step S16; S13, based on the preparation parameter intervals corresponding to the preparation parameters of different qualified devices in different dimensions, the preparation parameters are divided into qualified parameters and excellent parameters, and it is determined whether there are qualified devices with excellent parameters, if so, the next step is entered, if not, it is determined that the specific preparation number does not belong to the reference preparation number; S14: taking qualified devices with excellent parameters as excellent parameter devices, and judging whether the proportion of the excellent parameter devices in the qualified devices is less than a preset proportion, if so, proceeding to the next step, if not, proceeding to step S16; S15: obtaining the quantity ratio of excellent parameters of different excellent parameter devices, and determining the preparation excellent coefficient in combination with the quantity ratio of the excellent parameter devices in the qualified devices, and judging whether the preparation excellent coefficient is greater than a preset coefficient threshold, if so, proceeding to the next step, if not, determining that the specific preparation number does not belong to the reference preparation number; S16 determines the reliability of the preparation results of different qualified devices according to the proportion of the number of excellent parameters of different qualified devices, and determines the preparation reliability of a specific number of preparations by multiplying the average value of the reliabilities of the preparation results of different qualified devices by the preparation success rate; The reference preparation number is the historical preparation number with preparation reliability within a preset reliability range; The reference preparation times are divided into different similar parameter groups, specifically including: Based on the deviation of the preparation control parameters at different stages, an average value of the deviation of the preparation control parameters at different stages is determined, and the similarity coefficient of the preparation parameters at different stages is determined using the average value of the deviation; Determine the parameter similarity between different reference preparation times by the average value of the preparation parameter similarity coefficients at different stages, and classify the reference preparation times that meet the parameter similarity requirements into the same similar parameter group; The method for determining the reference preparation group in the similar parameter group is: Obtaining a reference number of preparations of the similar parameter group, and determining data availability of the similar parameter group using the reference number of preparations of the similar parameter group; Taking the reference preparation times of the similar parameter group as the corresponding preparation times, determining the parameter similarities of different corresponding preparation times according to the parameter data deviation between the corresponding preparation times and other corresponding preparation times, and determining the parameter reference values ​​of different corresponding preparation times based on the parameter similarities and preparation reliability; Determine the reference value of the similar parameter group by multiplying the average value of the parameter reference values ​​of different corresponding preparation times by the data availability, and determine the reference preparation group in the similar parameter group by using the reference value; The method for determining the available reference group in the reference preparation group is: Determine the parameter deviations of different historical preparation times at different stages and reference control parameters at different stages, and use the parameter deviations to determine the reference preparation times in the historical preparation times of the reference control parameters at different stages; Determine the proportion of preparation failures in the reference preparation times using the preparation failure data of different reference preparation times, and determine the reliability of preparation parameters of reference control parameters at different stages using the proportion of preparation failures in the reference preparation times; The parameter availability coefficient of the reference preparation group is determined according to the preparation parameter reliability of the reference preparation parameters at different stages, and the available reference group in the reference preparation group is determined using the parameter availability coefficient.

2. The method for optimizing the preparation process of ceramic composite material devices based on data analysis according to claim 1, characterized in that: The historical preparation times are determined based on the analysis results of the historical preparation data of the ceramic composite material device.

3. The method for optimizing the preparation process of ceramic composite material devices based on data analysis according to claim 1, characterized in that: The preparation success data includes the preparation success rate.

4. The method for optimizing the preparation process of ceramic composite material devices based on data analysis according to claim 1, characterized in that: The reference control parameter is determined according to an average value of the reference control parameters at different stages of different reference preparation times in the reference preparation group.

5. The method for optimizing the preparation process of ceramic composite material devices based on data analysis according to claim 1, characterized in that: The method for outputting the manufacturing process optimization strategy of the ceramic composite material device is: Determine the control parameters at different stages using the average values ​​of the reference control parameters at different stages of different available reference groups; The preparation process optimization strategy of the ceramic composite material device is output according to the control parameters at different stages.

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