Optical information entry method and system based on high-performance transparent ceramic

Abstract

This invention relates to the field of optical information storage technology, specifically a method and system for optical information input based on high-performance transparent ceramics. The method includes: constructing a target doping variation database; reading performance preference weight reassemblies and storage preference weight reassemblies based on user preference data; selecting a similar doping variation database from the target doping variation database according to the target matrix material; querying for optimal doping data based on the similar doping variation database, performance preference weight reassemblies, and storage preference weight reassemblies to obtain optimal ceramic doping data; and preparing high-performance transparent ceramics based on the optimal ceramic doping data. This invention improves the reliability of optical information storage and enhances the information writing capability of transparent ceramics in the near-infrared band.

Description

Technical Field

[0001] This invention relates to the field of optical information storage technology, and in particular to an optical information input method and system based on high-performance transparent ceramics. Background Technology

[0002] Optical information input technology, as an important direction for high-density and long-life information storage, has strategic significance in fields such as aerospace black boxes and digital preservation of cultural heritage. It achieves data writing through the interaction between laser and medium, and has unique advantages such as resistance to electromagnetic interference, high storage density and lifespan far exceeding that of traditional magnetic storage. It is one of the key paths to solve the problem of long-term secure storage of massive amounts of information in the era of big data.

[0003] Traditional photochromic transparent ceramics (such as KNN-based ceramics) typically rely on high-temperature sintering to generate oxygen vacancies and then use ultraviolet lasers to write information. However, the high-temperature sintering process in this method makes it difficult to precisely control the oxygen vacancy concentration. Excessive oxygen vacancies will significantly reduce the transmittance (often below 50%), while insufficient oxygen vacancies will result in weak photochromic response and insufficient information writing capability. At the same time, the reliance of existing technologies on ultraviolet lasers also increases the limitations on the application of the method. Summary of the Invention

[0004] This invention provides a method and system for optical information input based on high-performance transparent ceramics. Its main purpose is to improve the reliability of optical information storage and enhance the information writing capability of transparent ceramics in the near-infrared band.

[0005] To achieve the above objectives, the present invention provides a method for optical information input based on high-performance transparent ceramics, comprising:

[0006] Obtain the ceramic matrix material set, construct a doping database based on the ceramic matrix material set, and obtain the target doping variation database;

[0007] Set up a reference ceramic performance index group and a reference information storage index group, and read the performance preference weight reorganization and storage preference weight reorganization based on the preset user preference data, the reference ceramic performance index group and the reference information storage index group;

[0008] The target matrix material is identified based on user preference data. Then, similar ceramic data are selected from the target doping variation database based on the target matrix material to obtain the similar doping variation database, which includes multiple similar doping variation data.

[0009] The optimal doping data is obtained by querying the database of similar doping variations, performance preference weight recombination, and storage preference weight recombination. The optimal ceramic doping data includes: optimal low-valence ion source concentration, optimal rare earth ion concentration, and optimal low-valence ion source label.

[0010] The raw material powder group was obtained based on optimal ceramic doping data. This raw material powder group includes: ceramic matrix raw material, low-valence ion source raw material, and rare earth ion raw material, wherein the rare earth ion raw material is... Ionic raw materials;

[0011] High-performance transparent ceramics were prepared based on raw material powder groups, and optical information recording based on high-performance transparent ceramics was completed.

[0012] Optionally, the construction of the doping database based on the ceramic matrix material group to obtain the target doping variation database includes:

[0013] Ceramic matrix materials were extracted sequentially from the ceramic matrix material group, and the extracted ceramic matrix materials were recorded as the matrix materials to be doped.

[0014] Construct a candidate low-valence ion source library, which includes multiple candidate low-valence ion sources;

[0015] The doping effect of each candidate low-valence ion source in the candidate low-valence ion source library is evaluated based on the substrate material to be doped, and the target doping change dataset is obtained.

[0016] The target doping variation dataset for ceramic matrix materials is compiled to obtain the target doping variation database.

[0017] Optionally, the doping effect is evaluated for each candidate low-valence ion source in the candidate low-valence ion source library based on the substrate material to be doped, resulting in a target doping change dataset, including:

[0018] Candidate low-valence ion sources are extracted sequentially from the candidate low-valence ion source library, and the extracted candidate low-valence ion sources are recorded as low-valence ion sources to be doped.

[0019] Set up an ion doping data group, which includes multiple ion doping data, and the ion doping data includes: low-valence ion source doping concentration and rare earth ion doping concentration;

[0020] Transparent ceramics were prepared based on the ion doping data set, the source of low-valence ions to be doped and the matrix material to be doped, resulting in a comparative transparent ceramic set. The comparative transparent ceramics in the comparative transparent ceramic set correspond one-to-one with the ion doping data in the ion doping data set.

[0021] Preparation of reference transparent ceramics based on the substrate material to be doped;

[0022] The doping effect was evaluated using a set of reference transparent ceramics and a set of comparative transparent ceramics to obtain a set of original doping change data. The original doping change data in the set of original doping change data corresponded one-to-one with the comparative transparent ceramics in the set of comparative transparent ceramics.

[0023] Merge the original doping variation data sets corresponding to the candidate low-valence ion sources to obtain the original doping variation dataset;

[0024] The original doping variation dataset is filtered for validity to obtain the target doping variation dataset.

[0025] Optionally, the evaluation of the doping effect using a reference transparent ceramic and a contrasting transparent ceramic group to obtain the original doping change data includes:

[0026] The performance parameters of the reference transparent ceramic are tested to obtain the reference performance parameter set, which includes: reference light transmittance and reference color value.

[0027] Optical information writing tests were performed on a benchmark transparent ceramic to obtain a set of benchmark writing effect parameters.

[0028] In the contrast transparent ceramic group, contrast transparent ceramics were extracted sequentially, and the extracted contrast transparent ceramics were recorded as transparent ceramics to be evaluated;

[0029] The transparent ceramic to be evaluated was subjected to performance parameter testing and optical information writing test to obtain the performance parameter group to be evaluated and the writing effect parameter group to be evaluated.

[0030] The performance impact is evaluated based on the baseline performance parameter set and the performance parameter set to be evaluated, resulting in the ceramic performance change rate set.

[0031] The impact of write performance is evaluated based on the baseline write performance parameter set and the write performance parameter set to be evaluated, resulting in a write enhancement rate group.

[0032] The doping data corresponding to the transparent ceramic to be evaluated was identified in the ion doping data set, where the doping data to be evaluated contained low-valence ion source tags;

[0033] By merging the ceramic performance change rate group, the writing enhancement rate group, and the doping data to be evaluated, the original doping change data is obtained.

[0034] Optionally, the optical information writing test on the reference transparent ceramic to obtain the reference writing effect parameter set includes:

[0035] Obtain a near-infrared wavelength set, wherein the near-infrared wavelength set includes multiple near-infrared wavelengths;

[0036] Near-infrared wavelengths are extracted sequentially from the near-infrared wavelength set, and the extracted near-infrared wavelengths are recorded as the wavelengths to be tested.

[0037] Irradiated transparent ceramics are obtained by laser irradiation of a reference transparent ceramic based on the wavelength to be tested.

[0038] The transmittance of irradiated transparent ceramics is measured to obtain the irradiated light transmittance. The light information writing effect value is calculated based on the irradiated light transmittance and the reference light transmittance of the reference transparent ceramic. The light information writing effect value is the ratio of the reference light transmittance to the irradiated light transmittance.

[0039] Summarize the optical information writing effect values ​​to obtain the optical information writing effect value set;

[0040] Curve fitting is performed based on the optical information writing effect value set and the near-infrared wavelength set to obtain the writing effect wavelength curve, where the horizontal axis and vertical axis of the writing effect wavelength curve represent the near-infrared wavelength and the optical information writing effect value, respectively.

[0041] Based on the wavelength curve of the writing effect, curve features are extracted to obtain the benchmark writing effect parameter set.

[0042] Optionally, the step of extracting curve features based on the write performance wavelength curve to obtain a baseline write performance parameter set includes:

[0043] Divide the effective line segment in the write effect wavelength curve according to the preset effective write effect threshold;

[0044] Based on the effective line segments, the effective bands are divided on the horizontal axis of the writing effect wavelength curve, and the band lengths of the effective bands are counted.

[0045] Calculate the average effect value for each valid line segment to obtain the average writing effect value;

[0046] Identify the peak write performance value in the valid line segment;

[0047] By summing the band length, average write performance value, and peak write performance value, a set of baseline write performance parameters is obtained.

[0048] Optionally, the step of querying the optimal doping data based on the database of similar doping variations, performance preference weighting, and storage preference weighting to obtain the optimal ceramic doping data includes:

[0049] Extract the data on the same type of doping change from the database of similar doping changes in turn, and record the data on the same type of doping change as candidate doping change data;

[0050] The candidate performance change rate group, candidate enhancement rate group, and candidate doping data were identified in the candidate doping change data. Among them, the candidate doping data includes: candidate low-valence ion source concentration, candidate rare earth ion concentration, and candidate low-valence ion source label.

[0051] The data conformity is calculated based on the performance preference weight reorganization, storage preference weight reorganization, candidate performance change rate group, and candidate enhancement rate group.

[0052] The data compliance scores are summarized to obtain a data compliance score set. The maximum compliance score is identified in the data compliance score set, and the candidate doping data corresponding to the maximum compliance score is recorded as the optimal ceramic doping data.

[0053] Optionally, the calculation of data conformity based on performance preference weight reorganization, storage preference weight reorganization, candidate performance change rate group, and candidate enhancement rate group includes:

[0054] Identify the positive and negative performance index groups in the reference ceramic performance index group;

[0055] Based on the positive performance index group and the negative performance index group, the positive performance change rate group and the negative performance change rate group were identified in the candidate performance change rate group.

[0056] The data compliance is calculated based on the positive performance change rate group, the negative performance change rate group, the candidate enhancement rate group, the performance preference weight reorganization, and the storage preference weight reorganization. The data compliance is expressed as follows:

[0057] ;

[0058] in, Indicates the degree of data compliance. This indicates the number of storage preference weights in storage preference weight reorganization. The first in the storage preference reorganization Each storage preference weight, Indicates the first in the candidate enhancement rate group Each candidate enhancement rate, This indicates the number of reverse performance change rates in the reverse performance change rate group. Represents the first in the group of reverse performance change rates The rate of change of reverse performance, Indicating the relationship between the first and second parties in the performance preference weight reorganization The performance preference weights corresponding to each inverse performance change rate This indicates the number of positive performance change rates in the positive performance change rate group. Indicating the first group of positive performance change rates A positive rate of change in performance, Indicating the relationship between the first and second parties in the performance preference weight reorganization The performance preference weights corresponding to each positive performance change rate.

[0059] Optionally, the preparation of high-performance transparent ceramics based on the raw material powder composition includes:

[0060] The raw material powder group was uniformly mixed and dried sequentially using a pre-constructed planetary ball mill to obtain a mixed powder.

[0061] The mixed powder is pressed according to a pre-set hardened stainless steel mold to obtain a raw blank sheet;

[0062] The unglazed blanks are subjected to cold isostatic pressing to obtain the precast ceramic body;

[0063] The pre-sintered ceramic body is then subjected to hot isostatic pressing in a pre-constructed argon atmosphere to obtain a high-performance ceramic body.

[0064] High-performance transparent ceramics are obtained by double-sided polishing of the coarse ceramic body.

[0065] To achieve the above objectives, the present invention also provides an optical information input system based on high-performance transparent ceramics, comprising:

[0066] The doping database construction module is used to obtain the ceramic matrix material group, and to construct the doping database based on the ceramic matrix material group to obtain the target doping variation database;

[0067] The user preference receiving module is used to set the reference ceramic performance index group and the reference information storage index group. Based on the preset user preference data, the reference ceramic performance index group and the reference information storage index group, it reads the performance preference weight reorganization and the storage preference weight reorganization. Based on the user preference data, it confirms the target matrix material. Based on the target matrix material, it selects similar ceramic data in the target doping change database to obtain the similar doping change database. The similar doping change database includes multiple similar doping change data.

[0068] The optimal data selection module is used to query the optimal doping data based on the database of similar doping changes, performance preference weight reorganization, and storage preference weight reorganization to obtain the optimal ceramic doping data. The optimal ceramic doping data includes: the optimal low-valence ion source concentration, the optimal rare earth ion concentration, and the optimal low-valence ion source label.

[0069] A high-performance ceramic preparation module is used to obtain raw material powder groups based on optimal ceramic doping data. The raw material powder groups include: ceramic matrix raw materials, low-valence ion source raw materials, and rare earth ion raw materials, wherein the rare earth ion raw materials are... Ionic raw materials are used to prepare high-performance transparent ceramics based on raw material powder groups.

[0070] To address the above problems, the present invention also provides an electronic device, the electronic device comprising:

[0071] Memory, storing at least one instruction;

[0072] The processor executes the instructions stored in the memory to implement the optical information recording method based on high-performance transparent ceramics described above.

[0073] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the aforementioned optical information input method based on high-performance transparent ceramic.

[0074] To address the problems described in the background art, this invention first constructs a doping database based on a ceramic matrix material group, obtaining a target doping variation database. This step systematically evaluates the performance changes of different ceramic matrix materials after doping, resolving the inherent contradiction between the irreconcilable differences in transmittance and oxygen vacancy concentration in traditional photochromic transparent ceramics. Existing technologies rely on high-temperature sintering to generate oxygen vacancies, but excessive oxygen vacancies reduce transmittance, while low oxygen vacancies lead to insufficient color-changing ability. This step evaluates the doping effect of candidate low-valence ion sources, controllably introducing oxygen vacancies and improving densification and transmittance, providing data support for subsequent optimization. Next, based on user preference data, a reference ceramic performance index group, and a reference information storage index group, performance preference weight reassembly and storage preference weight reassembly are read. This step, by introducing user preference data, achieves personalized customization of the transparent ceramic performance, overcoming the limitation of generalized performance evaluation caused by neglecting specific user needs in existing technologies, ensuring that subsequent optimization is more tailored to individual user requirements. To better suit practical applications, this solution further refines the optimal doping data by querying a database of similar doping variations, performance preference weighting, and storage preference weighting. This yields the optimal ceramic doping data, and the step uses mathematical formulas to quantitatively evaluate the merits of different doping schemes, achieving a scientific and optimal selection. Existing technologies often rely on trial and error, which is inefficient and inaccurate. This step comprehensively balances transmittance and information storage capacity to obtain optimal doping parameters, significantly improving ceramic performance. Finally, this solution prepares high-performance transparent ceramics based on raw material powder groups. This step, through optimized preparation processes such as hot isostatic pressing and sintering in an inert gas environment, ensures high density and high transmittance of the ceramics. Traditional sintering methods in existing technologies easily lead to oxygen vacancy runaway and decreased transmittance. This step, through synergistic doping and precision processes, achieves a balance between high transmittance and moderate color contrast, enabling the ceramics to use near-infrared lasers for information writing, replacing ultraviolet lasers and broadening application potential. Therefore, this invention can improve the reliability of optical information storage and enhance the information writing capability of transparent ceramics in the near-infrared band. Attached Figure Description

[0075] Figure 1 This is a flowchart illustrating a method for optical information input based on high-performance transparent ceramics according to an embodiment of the present invention.

[0076] Figure 2 This is a functional block diagram of an optical information input system based on high-performance transparent ceramics provided in an embodiment of the present invention;

[0077] Figure 3This is a schematic diagram of the structure of an electronic device that implements the optical information input method based on high-performance transparent ceramic, according to an embodiment of the present invention.

[0078] Explanation of reference numerals in the attached figures:

[0079] 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0080] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0081] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0082] This application provides a method for optical information input based on high-performance transparent ceramics. The executing entity of this method includes, but is not limited to, at least one electronic device that can be configured to execute the method provided in this application, such as a server or a terminal. In other words, the method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0083] Reference Figure 1 The diagram shown is a flowchart illustrating a method for optical information input based on high-performance transparent ceramics according to an embodiment of the present invention. In this embodiment, the method for optical information input based on high-performance transparent ceramics includes:

[0084] S1. Obtain the ceramic matrix material group, construct a doping database based on the ceramic matrix material group, and obtain the target doping variation database.

[0085] It is clear that the ceramic matrix material group refers to a collection of multiple ceramic matrix materials, wherein the ceramic matrix material refers to the chemical composition of the matrix material of transparent ceramics, for example: , , , , The target doping variation database refers to a database representing the doping variation data (such as performance change rate, write enhancement rate, etc.) of each ceramic matrix material in the ceramic matrix material group after doping with ions. The specific construction steps and data structure of this database will be given in subsequent steps.

[0086] In detail, the construction of the doping database based on the ceramic matrix material group to obtain the target doping variation database includes:

[0087] Ceramic matrix materials were extracted sequentially from the ceramic matrix material group, and the extracted ceramic matrix materials were recorded as the matrix materials to be doped.

[0088] Construct a candidate low-valence ion source library, which includes multiple candidate low-valence ion sources;

[0089] The doping effect of each candidate low-valence ion source in the candidate low-valence ion source library is evaluated based on the substrate material to be doped, and the target doping change dataset is obtained.

[0090] The target doping variation dataset for ceramic matrix materials is compiled to obtain the target doping variation database.

[0091] Understandably, the substrate material to be doped refers to the ceramic substrate material that subsequently requires low-valence ion source doping and rare earth ion doping. The candidate low-valence ion source library refers to an artificially constructed set of low-valence ion sources that can be used for doping into transparent ceramics. This candidate low-valence ion source library includes multiple candidate low-valence ion sources, where each candidate low-valence ion source refers to a specific chemical compound that provides a low-valence cation. For example, if the low-valence cation to be introduced is... Therefore, the source of the candidate low-valence ion could be: , If the low-valent cation to be introduced is Therefore, the source of the candidate low-valence ion could be: , The target doping variation dataset refers to a collection of multiple target doping variation data, where each target doping variation data corresponds to a candidate low-valence ion source. The target doping variation data represents the impact of doping with a candidate low-valence ion source on the performance parameters of transparent ceramics and the optical information writing effect.

[0092] In detail, the doping effect is evaluated for each candidate low-valence ion source in the candidate low-valence ion source library based on the substrate material to be doped, resulting in a target doping change dataset, including:

[0093] Candidate low-valence ion sources are extracted sequentially from the candidate low-valence ion source library, and the extracted candidate low-valence ion sources are recorded as low-valence ion sources to be doped.

[0094] Set up an ion doping data group, which includes multiple ion doping data, and the ion doping data includes: low-valence ion source doping concentration and rare earth ion doping concentration;

[0095] Transparent ceramics were prepared based on the ion doping data set, the source of low-valence ions to be doped and the matrix material to be doped, resulting in a comparative transparent ceramic set. The comparative transparent ceramics in the comparative transparent ceramic set correspond one-to-one with the ion doping data in the ion doping data set.

[0096] Preparation of reference transparent ceramics based on the substrate material to be doped;

[0097] The doping effect was evaluated using a set of reference transparent ceramics and a set of comparative transparent ceramics to obtain a set of original doping change data. The original doping change data in the set of original doping change data corresponded one-to-one with the comparative transparent ceramics in the set of comparative transparent ceramics.

[0098] Merge the original doping variation data sets corresponding to the candidate low-valence ion sources to obtain the original doping variation dataset;

[0099] The original doping variation dataset is filtered for validity to obtain the target doping variation dataset.

[0100] Understandably, the ion doping data set refers to a collection of multiple ion doping data, wherein the ion doping data refers to a combination of artificially set low-valence ion source doping concentration and rare earth ion doping concentration. The low-valence ion source doping concentration refers to the relative content (e.g., molar percentage or mass percentage) of the doping compound in the transparent ceramic matrix material, and the rare earth ion doping concentration refers to the concentration of rare earth ions (e.g., low-valence ion source doping concentration, low-valence ion source doping concentration, high-valence ion source doping concentration, low ... The relative doping amount (e.g., molar percentage or atomic percentage) in the transparent ceramic matrix material. The comparative transparent ceramic group refers to a collection of multiple comparative transparent ceramics, where a comparative transparent ceramic is a transparent ceramic prepared by doping the matrix material to be doped with a specific ion doping data from the ion doping data group and the source of the low-valence ion to be doped. One comparative transparent ceramic corresponds to one ion doping data. The benchmark transparent ceramic refers to a transparent ceramic prepared solely from the matrix material to be doped. This benchmark transparent ceramic has not been doped with low-valence ions or rare earth ions and is used as a benchmark for performance comparison to quantitatively evaluate the performance changes (e.g., light transmittance, writing effect) of the doped ceramic (i.e., the comparative transparent ceramic). The original doping change data group refers to a collection of multiple original doping change data, where the original doping change data refers to the data showing the change in performance (e.g., color, light transmittance) of the benchmark transparent ceramic after a certain doping (i.e., a specific comparative transparent ceramic in the comparative transparent ceramic group). One original doping change data corresponds to one comparative transparent ceramic.

[0101] It should be explained that the validity screening refers to removing unqualified original doping change data from the original doping change dataset. The original doping change dataset after removal is the target doping change dataset. This validity screening is performed manually, and the specific steps are as follows: the original doping change data is extracted sequentially from the original doping change dataset, and relevant experts judge the ceramic performance change rate group and the writing enhancement rate group in the original doping change data to be qualified. If it is unqualified, the original doping change data is removed from the original doping change dataset. For example, if the color deviation in the ceramic performance change group is greater than the maximum acceptable deviation, the original doping change data is recorded as unqualified. The above steps are repeated until the entire original doping change dataset is traversed, thereby obtaining the target doping change dataset.

[0102] Furthermore, introducing the aforementioned low-valence ions can resolve the inherent contradiction between transmittance and oxygen vacancy concentration in traditional photochromic transparent ceramics (such as KNN-based ceramics). Specifically, existing technologies rely on high-temperature sintering to generate oxygen vacancies, but excessive oxygen vacancies reduce transmittance (<50%), while low oxygen vacancies result in insufficient color-changing ability. , By replacing the ceramic matrix material with heterovalent doping These principal ions can controllably introduce oxygen vacancies while maintaining electroneutrality, and simultaneously act as fluxes to improve ceramic densification and transmittance. The aforementioned rare earth ions... The presence of resonant absorption at 940nm provides an energy level step for oxygen vacancy electron trapping, enabling transparent ceramics to achieve photochromism and information writing using near-infrared lasers (940nm), thus replacing ultraviolet lasers (such as 248nm and 365nm). Furthermore, by modulating... The doping concentration can balance the number of oxygen vacancies in transparent ceramics, thereby achieving both high light transmittance and moderate color contrast.

[0103] In detail, the evaluation of the doping effect using a reference transparent ceramic and a contrasting transparent ceramic group to obtain the original doping change data includes:

[0104] The performance parameters of the reference transparent ceramic are tested to obtain the reference performance parameter set, which includes: reference light transmittance and reference color value.

[0105] Optical information writing tests were performed on a benchmark transparent ceramic to obtain a set of benchmark writing effect parameters.

[0106] In the contrast transparent ceramic group, contrast transparent ceramics were extracted sequentially, and the extracted contrast transparent ceramics were recorded as transparent ceramics to be evaluated;

[0107] The transparent ceramic to be evaluated was subjected to performance parameter testing and optical information writing test to obtain the performance parameter group to be evaluated and the writing effect parameter group to be evaluated.

[0108] The performance impact is evaluated based on the baseline performance parameter set and the performance parameter set to be evaluated, resulting in the ceramic performance change rate set.

[0109] The impact of write performance is evaluated based on the baseline write performance parameter set and the write performance parameter set to be evaluated, resulting in a write enhancement rate group.

[0110] The doping data corresponding to the transparent ceramic to be evaluated was identified in the ion doping data set, where the doping data to be evaluated contained low-valence ion source tags;

[0111] By merging the ceramic performance change rate group, the writing enhancement rate group, and the doping data to be evaluated, the original doping change data is obtained.

[0112] It should be explained that the "benchmark performance parameter set" refers to a collection of multiple benchmark performance parameters. These benchmark performance parameters are parameters that can quantify the mechanical, optical, and other properties of the transparent ceramic, and include, but are not limited to, benchmark light transmittance, benchmark color value, and maximum compressive strength. The "benchmark writing effect parameter set" refers to a collection of multiple benchmark writing effect parameters. These benchmark writing effect parameters are parameters that can quantify the light information writing capability of the benchmark transparent ceramic. The specific acquisition method and content of these benchmark writing effect parameters will be given in subsequent steps. The "performance parameter set to be evaluated" refers to the benchmark performance parameter set corresponding to the comparative transparent ceramic, and the "writing effect parameter set to be evaluated" refers to the benchmark writing effect parameter set corresponding to the comparative transparent ceramic. Their acquisition methods are the same as those for the benchmark performance parameter set and benchmark writing effect parameter set of the benchmark transparent ceramic.

[0113] Furthermore, the ceramic performance change rate group refers to a collection of multiple ceramic performance change rates, wherein the ceramic performance change rate refers to the relative percentage change in a certain performance parameter (such as light transmittance) of the transparent ceramic to be evaluated relative to a reference transparent ceramic. The ceramic performance change rate group is calculated as follows: extract the reference performance parameters sequentially from the reference performance parameter group, and identify the performance parameter to be evaluated (hereinafter referred to as the comparison performance parameter) corresponding to the reference performance parameter in the performance parameter group to be evaluated. The ceramic performance change rate can be calculated using, but is not limited to, the following formula: ,in, Indicates the rate of change in ceramic properties. This indicates a comparison of performance parameters. The baseline performance parameters are used as the basis. The above calculation steps are repeated until the baseline performance parameter set is traversed. After summing the ceramic performance change rates, the ceramic performance change rate set is obtained. The write enhancement rate set refers to a collection of multiple write enhancement rates, where the write enhancement rate refers to the relative percentage change of the transparent ceramic to be evaluated relative to the baseline transparent ceramic on a certain write effect parameter. The steps for evaluating the write effect impact based on the baseline write effect parameter set and the write effect parameter set to be evaluated to obtain the write enhancement rate set are the same as the steps for evaluating the performance impact based on the baseline performance parameter set and the performance parameter set to be evaluated to obtain the ceramic performance change rate set, and will not be repeated here. The doping data to be evaluated refers to the ion doping data corresponding to the transparent ceramic to be evaluated, where the low-valence ion source label refers to the identifier code of the candidate low-valence ion source corresponding to the doping data to be evaluated.

[0114] In detail, the optical information writing test performed on the reference transparent ceramic to obtain the reference writing effect parameter set includes:

[0115] Obtain a near-infrared wavelength set, wherein the near-infrared wavelength set includes multiple near-infrared wavelengths;

[0116] Near-infrared wavelengths are extracted sequentially from the near-infrared wavelength set, and the extracted near-infrared wavelengths are recorded as the wavelengths to be tested.

[0117] Irradiated transparent ceramics are obtained by laser irradiation of a reference transparent ceramic based on the wavelength to be tested.

[0118] The transmittance of irradiated transparent ceramics is measured to obtain the irradiated light transmittance. The light information writing effect value is calculated based on the irradiated light transmittance and the reference light transmittance of the reference transparent ceramic. The light information writing effect value is the ratio of the reference light transmittance to the irradiated light transmittance.

[0119] Summarize the optical information writing effect values ​​to obtain the optical information writing effect value set;

[0120] Curve fitting is performed based on the optical information writing effect value set and the near-infrared wavelength set to obtain the writing effect wavelength curve, where the horizontal axis and vertical axis of the writing effect wavelength curve represent the near-infrared wavelength and the optical information writing effect value, respectively.

[0121] Based on the wavelength curve of the writing effect, curve features are extracted to obtain the benchmark writing effect parameter set.

[0122] It should be explained that the near-infrared wavelength set refers to a collection of multiple near-infrared wavelengths, wherein the near-infrared wavelength refers to wavelengths in the range of 780nm to 2500nm, for example, 940nm. Laser irradiation refers to irradiating transparent ceramics with a specific wavelength beam generated by a laser to induce a photochromic reaction, thereby testing its information writing capability. Irradiated transparent ceramics refer to reference transparent ceramics after laser irradiation. Irradiated light transmittance refers to the proportion of light transmitted through the transparent ceramic at a specific wavelength after laser irradiation; the transmittance of irradiated transparent ceramics can be measured using a spectrophotometer. The optical information writing effect value refers to a numerical value quantifying the optical information writing capability; the larger the optical information writing effect value, the stronger the optical information writing capability of the transparent ceramic. The writing effect wavelength curve refers to a curve representing the relationship between the optical information writing effect value and the near-infrared wavelength; curve fitting can be performed using methods such as least squares fitting.

[0123] Specifically, the step of extracting curve features based on the write performance wavelength curve to obtain a set of baseline write performance parameters includes:

[0124] Divide the effective line segment in the write effect wavelength curve according to the preset effective write effect threshold;

[0125] Based on the effective line segments, the effective bands are divided on the horizontal axis of the writing effect wavelength curve, and the band lengths of the effective bands are counted.

[0126] Calculate the average effect value for each valid line segment to obtain the average writing effect value;

[0127] Identify the peak write performance value in the valid line segment;

[0128] By summing the band length, average write performance value, and peak write performance value, a set of baseline write performance parameters is obtained.

[0129] Understandably, the effective write effect threshold refers to a constant set by the user to determine the optical information write effect value. If the optical information write effect value at a certain coordinate point in the write effect wavelength curve is less than the effective write effect threshold, it indicates that the optical information write effect at the near-infrared wavelength corresponding to that coordinate point is insufficient and cannot effectively induce a photochromic reaction. The effective line segment refers to the line segment in the write effect wavelength curve whose vertical coordinate is greater than or equal to the effective write effect threshold. The effective band refers to the horizontal axis range corresponding to the effective line segment, for example, the wavelength range from 940nm to 950nm. The average write effect value refers to the average value of the vertical coordinates in the effective line segment. The peak write effect value refers to the optical information write effect value with the largest value in the effective line segment. In addition to the above-mentioned band length, average write effect value, and peak write effect value, this benchmark write effect parameter set may also include parameters such as the full width at half maximum (FWHM), slope, or integral area of ​​the curve.

[0130] S2. Set up a reference ceramic performance index group and a reference information storage index group. Based on the preset user preference data, the reference ceramic performance index group and the reference information storage index group, read the performance preference weight reorganization and storage preference weight reorganization.

[0131] It is clear that the reference ceramic performance index group refers to the set of performance categories represented by each ceramic performance change rate in the ceramic performance change rate group. For example, if a ceramic performance change rate group is: light transmittance change rate: +5%, color value change rate: -2%, maximum compressive strength change rate: +1.5%, then the reference ceramic performance index group is: {light transmittance, color value, maximum compressive strength}. The reference information storage index group refers to the set of indices represented by each write enhancement rate in the write enhancement rate group. For example, if a write enhancement rate group is: wavelength length enhancement rate: +60%, average write performance value enhancement rate: +80%, peak write performance value enhancement rate: +100%, then the reference information storage index group is: {wavelength, average write performance value, peak write performance value}.

[0132] Furthermore, the user preference data refers to data reflecting the user's emphasis on different performance indicators and information storage indicators of ceramics. This user preference data includes performance preference weight reorganization, storage preference weight reorganization, and target matrix material (which will be explained later). Performance preference weight reorganization refers to a set of multiple performance preference weights, where each performance preference weight is a weight set by the user for a specific reference ceramic performance indicator, and the sum of all performance preference weights in the reorganization is 1. Storage preference weight reorganization refers to a set of multiple storage preference weights, where each storage preference weight is a weight set by the user for a specific reference information storage indicator, and the sum of all storage preference weights in the reorganization is 1.

[0133] S3. Based on user preference data, the target matrix material is identified. Based on the target matrix material, similar ceramic data are selected from the target doping variation database to obtain the similar doping variation database, which includes multiple similar doping variation data.

[0134] It is clear that the target matrix material refers to the ceramic matrix material required by the user in the subsequent preparation of high-performance transparent ceramics. The database of similar doping variations refers to a collection of multiple similar doping variation data obtained after selecting similar ceramic data, wherein the similar doping variation data refers to the target doping variation data corresponding to the target matrix material.

[0135] S4. Based on the database of similar doping variations, performance preference weight reorganization, and storage preference weight reorganization, perform optimal doping data query to obtain optimal ceramic doping data. The optimal ceramic doping data includes: optimal low-valence ion source concentration, optimal rare earth ion concentration, and optimal low-valence ion source label.

[0136] It is clear that the optimal ceramic doping data refers to the data set with the strongest optical information writing capability while meeting customer requirements. The optimal low-valence ion source concentration refers to the low-valence ion source doping concentration in the optimal ceramic doping data. The optimal rare earth ion concentration refers to the rare earth ion doping concentration in the optimal ceramic doping data. The optimal low-valence ion source refers to the code of the source compound corresponding to the optimal low-valence ion source concentration.

[0137] In detail, the step of querying the optimal doping data based on the database of similar doping variations, performance preference weighting, and storage preference weighting to obtain the optimal ceramic doping data includes:

[0138] Extract the data on the same type of doping change from the database of similar doping changes in turn, and record the data on the same type of doping change as candidate doping change data;

[0139] The candidate performance change rate group, candidate enhancement rate group, and candidate doping data were identified in the candidate doping change data. Among them, the candidate doping data includes: candidate low-valence ion source concentration, candidate rare earth ion concentration, and candidate low-valence ion source label.

[0140] The data conformity is calculated based on the performance preference weight reorganization, storage preference weight reorganization, candidate performance change rate group, and candidate enhancement rate group.

[0141] The data compliance scores are summarized to obtain a data compliance score set. The maximum compliance score is identified in the data compliance score set, and the candidate doping data corresponding to the maximum compliance score is recorded as the optimal ceramic doping data.

[0142] It is clear that the candidate performance change rate group refers to the ceramic performance change rate group in the candidate doping change data. The candidate enhancement rate group refers to the writing enhancement rate group in the candidate doping change data. The candidate doping data refers to the doping data to be evaluated in the candidate doping change data. The candidate low-valence ion source concentration refers to the low-valence ion source doping concentration in the candidate doping data. The candidate rare earth ion concentration refers to the rare earth ion doping concentration in the candidate doping data. The candidate low-valence ion source label refers to the low-valence ion source label in the candidate doping data. The data conformity refers to the numerical value that quantifies the degree of matching between the candidate doping change data and user preferences and the optical information writing capability of the candidate doping change data. The higher the data conformity, the better the candidate doping change data corresponding to the data conformity meets the user's needs, and the stronger the optical information writing capability of the transparent ceramic prepared from the candidate doping change data. The maximum conformity refers to the data conformity with the largest value in the data conformity set.

[0143] In detail, the calculation of data conformity based on performance preference weight reorganization, storage preference weight reorganization, candidate performance change rate group, and candidate enhancement rate group includes:

[0144] Identify the positive and negative performance index groups in the reference ceramic performance index group;

[0145] Based on the positive performance index group and the negative performance index group, the positive performance change rate group and the negative performance change rate group were identified in the candidate performance change rate group.

[0146] The data compliance is calculated based on the positive performance change rate group, the negative performance change rate group, the candidate enhancement rate group, the performance preference weight reorganization, and the storage preference weight reorganization. The data compliance is expressed as follows:

[0147] ;

[0148] in, Indicates the degree of data compliance. This indicates the number of storage preference weights in storage preference weight reorganization. The first in the storage preference reorganization Each storage preference weight, Indicates the first in the candidate enhancement rate group Each candidate enhancement rate, This indicates the number of reverse performance change rates in the reverse performance change rate group. Represents the first in the group of reverse performance change rates The rate of change of reverse performance, Indicating the relationship between the first and second parties in the performance preference weight reorganization The performance preference weights corresponding to each inverse performance change rate This indicates the number of positive performance change rates in the positive performance change rate group. Indicating the first group of positive performance change rates A positive rate of change in performance, Indicating the relationship between the first and second parties in the performance preference weight reorganization The performance preference weights corresponding to each positive performance change rate.

[0149] It should be explained that the "positive performance index group" refers to a set of multiple positive performance indices. A positive performance index is a reference ceramic performance index that has a positive impact on transparent ceramics as the rate of change of the corresponding candidate performance increases. For example, a larger "maximum compressive strength value" indicates that the compressive strength of the doped transparent ceramic is stronger than that of the undoped ceramic (i.e., it has a positive impact on transparent ceramics), and thus the "maximum compressive strength value" is a positive performance index. The "negative performance index group" refers to a set of multiple negative performance indices. A negative performance index is a reference ceramic performance index that has a negative impact on transparent ceramics as the rate of change of the corresponding candidate performance increases. For example, a larger "color value change rate" indicates that the color of the doped transparent ceramic deviates more from that of the undoped transparent ceramic (i.e., it has a negative impact on transparent ceramics), and thus the "color value change rate" is a negative performance index.

[0150] Furthermore, the positive performance change rate group refers to the set of multiple candidate performance change rates corresponding to each positive performance indicator in the positive performance indicator group. The negative performance change rate group refers to the set of multiple candidate performance change rates corresponding to each negative performance indicator in the negative performance indicator group. In the above formula for calculating data compliance, if An increase in the optical information writing capability of the doped transparent ceramic compared to the undoped transparent ceramic indicates a greater increase, meaning a higher data consistency. The larger the value, the greater the performance improvement of the doped transparent ceramic compared to the undoped transparent ceramic; that is, the greater the data consistency. The larger the value, the greater the performance decline of the doped transparent ceramic compared to the undoped transparent ceramic, meaning the lower the data consistency.

[0151] S5. Obtain the raw material powder group based on the optimal ceramic doping data. The raw material powder group includes: ceramic matrix raw material, low-valence ion source raw material, and rare earth ion raw material, wherein the rare earth ion raw material is... Ionic raw materials.

[0152] Understandably, the raw material powder group refers to the collection of various raw material powders weighed according to the optimal low-valence ion source concentration, optimal rare earth ion concentration, and optimal low-valence ion source label in the optimal ceramic doping data. Specifically, the ceramic matrix raw material refers to the ceramic matrix material required for the subsequent preparation of high-performance transparent ceramics; the low-valence ion source raw material refers to the low-valence ion source raw material required for the subsequent preparation of high-performance transparent ceramics; and the rare earth ion raw material refers to the raw material required for the subsequent preparation of high-performance transparent ceramics. The source of ions.

[0153] S6. Prepare high-performance transparent ceramics based on the raw material powder group, and complete the optical information recording based on the high-performance transparent ceramics.

[0154] It should be explained that the high-performance transparent ceramic refers to a transparent ceramic prepared from raw material powder. Compared with traditional photochromic transparent ceramics, this high-performance transparent ceramic exhibits significant advantages in optical information writing: through the synergistic doping of heterovalent ions and rare earth ions, it achieves effective photochromic response while maintaining high initial light transmittance. At the same time, this high-performance transparent ceramic can use near-infrared lasers to achieve information writing, overcoming the dependence of traditional materials on lasers of specific wavelengths. Thus, it achieves an excellent balance between optical performance and information storage capacity, broadening its application potential in advanced optical fields such as three-dimensional optical information storage.

[0155] In detail, the preparation of high-performance transparent ceramics based on the raw material powder composition includes:

[0156] The raw material powder group was uniformly mixed and dried sequentially using a pre-constructed planetary ball mill to obtain a mixed powder.

[0157] The mixed powder is pressed according to a pre-set hardened stainless steel mold to obtain a raw blank sheet;

[0158] The unglazed blanks are subjected to cold isostatic pressing to obtain the precast ceramic body;

[0159] The pre-sintered ceramic body is then subjected to hot isostatic pressing in a pre-constructed argon atmosphere to obtain a high-performance ceramic body.

[0160] High-performance transparent ceramics are obtained by double-sided polishing of the coarse ceramic body.

[0161] Understandably, the uniform mixing refers to achieving a uniform molecular-level distribution of raw material powders through the mechanical force of a planetary ball mill. The drying process refers to removing the liquid component from the solvent-containing slurry after ball milling under specific conditions to obtain a dry, solid mixed powder. The mixed powder refers to the powder after uniform mixing and drying. The hardened stainless steel mold refers to a special mold made of high-strength stainless steel to ensure shape accuracy and structural stability during powder pressing. The green sheet refers to an unsintered ceramic sheet with a certain initial strength and specific shape after pressing. The pre-formed ceramic body refers to a green sheet after cold isostatic pressing. The pre-sintering refers to preliminary heat treatment of the pre-formed ceramic body at a temperature lower than the final sintering temperature to obtain basic mechanical strength and a preliminary microstructure. The argon environment refers to the inert gas atmosphere used during hot isostatic pressing to prevent oxidation of the ceramic material at high temperatures. The high-performance ceramic rough body refers to the densified ceramic body obtained after hot isostatic pressing. The double-sided polishing process refers to the operation of precision grinding and polishing the two opposing surfaces of the ceramic rough body.

[0162] To address the problems described in the background art, this invention first constructs a doping database based on a ceramic matrix material group, obtaining a target doping variation database. This step systematically evaluates the performance changes of different ceramic matrix materials after doping, resolving the inherent contradiction between the irreconcilable differences in transmittance and oxygen vacancy concentration in traditional photochromic transparent ceramics. Existing technologies rely on high-temperature sintering to generate oxygen vacancies, but excessive oxygen vacancies reduce transmittance, while low oxygen vacancies lead to insufficient color-changing ability. This step evaluates the doping effect of candidate low-valence ion sources, controllably introducing oxygen vacancies and improving densification and transmittance, providing data support for subsequent optimization. Next, based on user preference data, a reference ceramic performance index group, and a reference information storage index group, performance preference weight reassembly and storage preference weight reassembly are read. This step, by introducing user preference data, achieves personalized customization of the transparent ceramic performance, overcoming the limitation of generalized performance evaluation caused by neglecting specific user needs in existing technologies, ensuring that subsequent optimization is more tailored to individual user requirements. To better suit practical applications, this solution further refines the optimal doping data by querying a database of similar doping variations, performance preference weighting, and storage preference weighting. This yields the optimal ceramic doping data, and the step uses mathematical formulas to quantitatively evaluate the merits of different doping schemes, achieving a scientific and optimal selection. Existing technologies often rely on trial and error, which is inefficient and inaccurate. This step comprehensively balances transmittance and information storage capacity to obtain optimal doping parameters, significantly improving ceramic performance. Finally, this solution prepares high-performance transparent ceramics based on raw material powder groups. This step, through optimized preparation processes such as hot isostatic pressing and sintering in an inert gas environment, ensures high density and high transmittance of the ceramics. Traditional sintering methods in existing technologies easily lead to oxygen vacancy runaway and decreased transmittance. This step, through synergistic doping and precision processes, achieves a balance between high transmittance and moderate color contrast, enabling the ceramics to use near-infrared lasers for information writing, replacing ultraviolet lasers and broadening application potential. Therefore, this invention can improve the reliability of optical information storage and enhance the information writing capability of transparent ceramics in the near-infrared band.

[0163] like Figure 2 The diagram shown is a functional block diagram of an optical information input system based on high-performance transparent ceramics provided in an embodiment of the present invention.

[0164] The optical information input system 100 based on high-performance transparent ceramics described in this invention can be installed in an electronic device. Depending on the functions implemented, the optical information input system 100 based on high-performance transparent ceramics may include a doped database construction module 101, a user preference receiving module 102, an optimal data selection module 103, and a high-performance ceramics preparation module 104. The module described in this invention can also be called a unit, referring to a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0165] The doping database construction module 101 is used to obtain a ceramic matrix material group, construct a doping database based on the ceramic matrix material group, and obtain a target doping change database.

[0166] The user preference receiving module 102 is used to set a reference ceramic performance index group and a reference information storage index group, read the performance preference weight reorganization and storage preference weight reorganization based on the preset user preference data, the reference ceramic performance index group and the reference information storage index group, confirm the target matrix material based on the user preference data, select similar ceramic data in the target doping change database according to the target matrix material, and obtain a similar doping change database, wherein the similar doping change database includes multiple similar doping change data;

[0167] The optimal data selection module 103 is used to query the optimal doping data based on the database of similar doping changes, performance preference weight reorganization and storage preference weight reorganization, and obtain the optimal ceramic doping data. The optimal ceramic doping data includes: the optimal low-valence ion source concentration, the optimal rare earth ion concentration and the optimal low-valence ion source label.

[0168] The high-performance ceramic preparation module 104 is used to obtain a raw material powder group based on optimal ceramic doping data. The raw material powder group includes: ceramic matrix raw material, low-valence ion source raw material, and rare earth ion raw material, wherein the rare earth ion raw material is... Ionic raw materials are used to prepare high-performance transparent ceramics based on raw material powder groups.

[0169] In detail, the modules in the optical information input system 100 based on high-performance transparent ceramic described in this embodiment of the invention employ the same methods as described above during use. Figure 1 The method used is the same as the optical information input method based on high-performance transparent ceramics described above, and can produce the same technical effect, so it will not be repeated here.

[0170] like Figure 3 The diagram shown is a schematic representation of an electronic device that implements a method for recording optical information based on high-performance transparent ceramic, according to an embodiment of the present invention.

[0171] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as a light information input method program based on high-performance transparent ceramics.

[0172] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a light information input method program based on high-performance transparent ceramic, but also to temporarily store data that has been output or will be output.

[0173] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a method for recording optical information based on high-performance transparent ceramics) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0174] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0175] Figure 3 Only electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0176] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management system, thereby enabling functions such as charging management, discharging management, and power consumption management through the power management system. The power supply may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0177] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0178] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0179] The optical information input method program based on high-performance transparent ceramic stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following:

[0180] Obtain the ceramic matrix material set, construct a doping database based on the ceramic matrix material set, and obtain the target doping variation database;

[0181] Set up a reference ceramic performance index group and a reference information storage index group, and read the performance preference weight reorganization and storage preference weight reorganization based on the preset user preference data, the reference ceramic performance index group and the reference information storage index group;

[0182] The target matrix material is identified based on user preference data. Then, similar ceramic data are selected from the target doping variation database based on the target matrix material to obtain the similar doping variation database, which includes multiple similar doping variation data.

[0183] The optimal doping data is obtained by querying the database of similar doping variations, performance preference weight recombination, and storage preference weight recombination. The optimal ceramic doping data includes: optimal low-valence ion source concentration, optimal rare earth ion concentration, and optimal low-valence ion source label.

[0184] The raw material powder group was obtained based on optimal ceramic doping data. This raw material powder group includes: ceramic matrix raw material, low-valence ion source raw material, and rare earth ion raw material, wherein the rare earth ion raw material is... Ionic raw materials;

[0185] High-performance transparent ceramics were prepared based on raw material powder groups, and optical information recording based on high-performance transparent ceramics was completed.

[0186] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0187] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0188] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following:

[0189] Obtain the ceramic matrix material set, construct a doping database based on the ceramic matrix material set, and obtain the target doping variation database;

[0190] Set up a reference ceramic performance index group and a reference information storage index group, and read the performance preference weight reorganization and storage preference weight reorganization based on the preset user preference data, the reference ceramic performance index group and the reference information storage index group;

[0191] The target matrix material is identified based on user preference data. Then, similar ceramic data are selected from the target doping variation database based on the target matrix material to obtain the similar doping variation database, which includes multiple similar doping variation data.

[0192] The optimal doping data is obtained by querying the database of similar doping variations, performance preference weight recombination, and storage preference weight recombination. The optimal ceramic doping data includes: optimal low-valence ion source concentration, optimal rare earth ion concentration, and optimal low-valence ion source label.

[0193] The raw material powder group was obtained based on optimal ceramic doping data. This raw material powder group includes: ceramic matrix raw material, low-valence ion source raw material, and rare earth ion raw material, wherein the rare earth ion raw material is... Ionic raw materials;

[0194] High-performance transparent ceramics were prepared based on raw material powder groups, and optical information recording based on high-performance transparent ceramics was completed.

[0195] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0196] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0197] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0198] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0199] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for optical information input based on high-performance transparent ceramics, characterized in that, The method includes: Obtain the ceramic matrix material set, construct a doping database based on the ceramic matrix material set, and obtain the target doping variation database; Set up a reference ceramic performance index group and a reference information storage index group, and read the performance preference weight reorganization and storage preference weight reorganization based on the preset user preference data, the reference ceramic performance index group and the reference information storage index group; The target matrix material is identified based on user preference data. Then, similar ceramic data are selected from the target doping variation database based on the target matrix material to obtain the similar doping variation database, which includes multiple similar doping variation data. The optimal doping data is obtained by querying the database of similar doping variations, performance preference weight recombination, and storage preference weight recombination. The optimal ceramic doping data includes: optimal low-valence ion source concentration, optimal rare earth ion concentration, and optimal low-valence ion source label. The raw material powder group was obtained based on optimal ceramic doping data. This raw material powder group includes: ceramic matrix raw material, low-valence ion source raw material, and rare earth ion raw material, wherein the rare earth ion raw material is... Ionic raw materials; High-performance transparent ceramics were prepared based on raw material powder groups, and optical information recording based on high-performance transparent ceramics was completed.

2. The optical information input method based on high-performance transparent ceramics as described in claim 1, characterized in that, The doping database construction based on the ceramic matrix material group, resulting in a target doping variation database, includes: Ceramic matrix materials were extracted sequentially from the ceramic matrix material group, and the extracted ceramic matrix materials were recorded as the matrix materials to be doped. Construct a candidate low-valence ion source library, which includes multiple candidate low-valence ion sources; The doping effect of each candidate low-valence ion source in the candidate low-valence ion source library is evaluated based on the substrate material to be doped, and the target doping change dataset is obtained. The target doping variation dataset for ceramic matrix materials is compiled to obtain the target doping variation database.

3. The optical information input method based on high-performance transparent ceramics as described in claim 2, characterized in that, The doping effect of each candidate low-valence ion source in the candidate low-valence ion source library is evaluated based on the substrate material to be doped, resulting in a target doping change dataset, including: Candidate low-valence ion sources are extracted sequentially from the candidate low-valence ion source library, and the extracted candidate low-valence ion sources are recorded as low-valence ion sources to be doped. Set up an ion doping data group, which includes multiple ion doping data, and the ion doping data includes: low-valence ion source doping concentration and rare earth ion doping concentration; Transparent ceramics were prepared based on the ion doping data set, the source of low-valence ions to be doped and the matrix material to be doped, resulting in a comparative transparent ceramic set. The comparative transparent ceramics in the comparative transparent ceramic set correspond one-to-one with the ion doping data in the ion doping data set. Preparation of reference transparent ceramics based on the substrate material to be doped; The doping effect was evaluated using a set of reference transparent ceramics and a set of comparative transparent ceramics to obtain a set of original doping change data. The original doping change data in the set of original doping change data corresponded one-to-one with the comparative transparent ceramics in the set of comparative transparent ceramics. Merge the original doping variation data sets corresponding to the candidate low-valence ion sources to obtain the original doping variation dataset; The original doping variation dataset is filtered for validity to obtain the target doping variation dataset.

4. The optical information input method based on high-performance transparent ceramics as described in claim 3, characterized in that, The evaluation of the doping effect using a reference transparent ceramic and a comparative transparent ceramic group yields original doping change data, including: The performance parameters of the reference transparent ceramic are tested to obtain the reference performance parameter set, which includes: reference light transmittance and reference color value. Optical information writing tests were performed on a benchmark transparent ceramic to obtain a set of benchmark writing effect parameters. In the contrast transparent ceramic group, contrast transparent ceramics were extracted sequentially, and the extracted contrast transparent ceramics were recorded as transparent ceramics to be evaluated; The transparent ceramic to be evaluated was subjected to performance parameter testing and optical information writing test to obtain the performance parameter group to be evaluated and the writing effect parameter group to be evaluated. The performance impact is evaluated based on the baseline performance parameter set and the performance parameter set to be evaluated, resulting in the ceramic performance change rate set. The impact of write performance is evaluated based on the baseline write performance parameter set and the write performance parameter set to be evaluated, resulting in a write enhancement rate group. The doping data corresponding to the transparent ceramic to be evaluated was identified in the ion doping data set, where the doping data to be evaluated contained low-valence ion source tags; By merging the ceramic performance change rate group, the writing enhancement rate group, and the doping data to be evaluated, the original doping change data is obtained.

5. The optical information input method based on high-performance transparent ceramics as described in claim 4, characterized in that, The optical information writing test is performed on the reference transparent ceramic to obtain a reference writing effect parameter set, including: Obtain a near-infrared wavelength set, wherein the near-infrared wavelength set includes multiple near-infrared wavelengths; Near-infrared wavelengths are extracted sequentially from the near-infrared wavelength set, and the extracted near-infrared wavelengths are recorded as the wavelengths to be tested. Irradiated transparent ceramics are obtained by laser irradiation of a reference transparent ceramic based on the wavelength to be tested. The transmittance of irradiated transparent ceramics is measured to obtain the irradiated light transmittance. The light information writing effect value is calculated based on the irradiated light transmittance and the reference light transmittance of the reference transparent ceramic. The light information writing effect value is the ratio of the reference light transmittance to the irradiated light transmittance. Summarize the optical information writing effect values ​​to obtain the optical information writing effect value set; Curve fitting is performed based on the optical information writing effect value set and the near-infrared wavelength set to obtain the writing effect wavelength curve, where the horizontal axis and vertical axis of the writing effect wavelength curve represent the near-infrared wavelength and the optical information writing effect value, respectively. Based on the wavelength curve of the writing effect, curve features are extracted to obtain the benchmark writing effect parameter set.

6. The optical information input method based on high-performance transparent ceramics as described in claim 5, characterized in that, The curve feature extraction based on the write performance wavelength curve yields a set of baseline write performance parameters, including: Divide the effective line segment in the write effect wavelength curve according to the preset effective write effect threshold; Based on the effective line segments, the effective bands are divided on the horizontal axis of the writing effect wavelength curve, and the band lengths of the effective bands are counted. Calculate the average effect value for each valid line segment to obtain the average writing effect value; Identify the peak write performance value in the valid line segment; By summing the band length, average write performance value, and peak write performance value, a set of baseline write performance parameters is obtained.

7. The optical information input method based on high-performance transparent ceramics as described in claim 6, characterized in that, The process of querying optimal doping data based on a database of similar doping variations, performance preference weighting, and storage preference weighting to obtain optimal ceramic doping data includes: Extract the data on the same type of doping change from the database of similar doping changes in turn, and record the data on the same type of doping change as candidate doping change data; The candidate performance change rate group, candidate enhancement rate group, and candidate doping data were identified in the candidate doping change data. Among them, the candidate doping data includes: candidate low-valence ion source concentration, candidate rare earth ion concentration, and candidate low-valence ion source label. The data conformity is calculated based on the performance preference weight reorganization, storage preference weight reorganization, candidate performance change rate group, and candidate enhancement rate group. The data compliance scores are summarized to obtain a data compliance score set. The maximum compliance score is identified in the data compliance score set, and the candidate doping data corresponding to the maximum compliance score is recorded as the optimal ceramic doping data.

8. The optical information input method based on high-performance transparent ceramics as described in claim 7, characterized in that, The calculation of data conformity based on performance preference weight reorganization, storage preference weight reorganization, candidate performance change rate group, and candidate enhancement rate group includes: Identify the positive and negative performance index groups in the reference ceramic performance index group; Based on the positive performance index group and the negative performance index group, the positive performance change rate group and the negative performance change rate group were identified in the candidate performance change rate group. The data compliance is calculated based on the positive performance change rate group, the negative performance change rate group, the candidate enhancement rate group, the performance preference weight reorganization, and the storage preference weight reorganization. The data compliance is expressed as follows: ； in, Indicates the degree of data compliance. This indicates the number of storage preference weights in storage preference weight reorganization. The first in the storage preference reorganization Each storage preference weight, Indicates the first in the candidate enhancement rate group Each candidate enhancement rate, This indicates the number of reverse performance change rates in the reverse performance change rate group. Represents the first in the group of reverse performance change rates The rate of change of reverse performance, Indicating the relationship between the first and second parties in the performance preference weight reorganization The performance preference weights corresponding to each inverse performance change rate This indicates the number of positive performance change rates in the positive performance change rate group. Indicating the first group of positive performance change rates A positive rate of change in performance, Indicating the relationship between the first and second parties in the performance preference weight reorganization The performance preference weights corresponding to each positive performance change rate.

9. The optical information input method based on high-performance transparent ceramics as described in claim 8, characterized in that, The preparation of high-performance transparent ceramics based on raw material powder groups includes: The raw material powder group was uniformly mixed and dried sequentially using a pre-constructed planetary ball mill to obtain a mixed powder. The mixed powder is pressed according to a pre-set hardened stainless steel mold to obtain a raw blank sheet; The unglazed blanks are subjected to cold isostatic pressing to obtain the precast ceramic body; The pre-sintered ceramic body is then subjected to hot isostatic pressing in a pre-constructed argon atmosphere to obtain a high-performance ceramic body. High-performance transparent ceramics are obtained by double-sided polishing of the coarse ceramic body.

10. A light information input system based on high-performance transparent ceramics, characterized in that, The system includes: The doping database construction module is used to obtain the ceramic matrix material group, and to construct the doping database based on the ceramic matrix material group to obtain the target doping variation database; The user preference receiving module is used to set the reference ceramic performance index group and the reference information storage index group. Based on the preset user preference data, the reference ceramic performance index group and the reference information storage index group, it reads the performance preference weight reorganization and the storage preference weight reorganization. Based on the user preference data, it confirms the target matrix material. Based on the target matrix material, it selects similar ceramic data in the target doping change database to obtain the similar doping change database. The similar doping change database includes multiple similar doping change data. The optimal data selection module is used to query the optimal doping data based on the database of similar doping changes, performance preference weight reorganization, and storage preference weight reorganization to obtain the optimal ceramic doping data. The optimal ceramic doping data includes: the optimal low-valence ion source concentration, the optimal rare earth ion concentration, and the optimal low-valence ion source label. A high-performance ceramic preparation module is used to obtain raw material powder groups based on optimal ceramic doping data. The raw material powder groups include: ceramic matrix raw materials, low-valence ion source raw materials, and rare earth ion raw materials, wherein the rare earth ion raw materials are... Ionic raw materials are used to prepare high-performance transparent ceramics based on raw material powder groups.

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