A method for increasing the service life of an organic electroluminescent device

Abstract

The present invention provides a method for improving the service life of an organic electroluminescent device, belonging to the technical field of life test; Step 1: According to a historical test library, all service lives of a target organic electroluminescent device are obtained, and the basic service life is obtained by removing duplicates and averaging; Step 2: According to a preset material library, a material name list set is generated, and any material in the material name list set is matched with a corresponding production process to obtain a mapping table and configure a number; Step 3: The most effective heat dissipation structure is designed for any material in the material name list set, and a corresponding test piece is manufactured based on the production process; Step 4: According to the test parameters of the target organic electroluminescent device, a test environment is built and the service life of all test pieces is predicted, and the predicted service life of all test pieces is obtained, and the test piece with the highest predicted service life is selected as the optimal combination. The service life of the organic electroluminescent device is improved, and the device performance is also improved.

Description

Technical Field

[0001] The invention relates to the technical field of life test, and in particular to a method for improving the service life of an organic electroluminescent device. Background Art

[0002] At present, with the rapid development of organic materials, there are more and more types of organic materials, so the selection of organic material types and the design of structures have become the most important part of the design of micro devices; different materials and structures will lead to different service lives of devices; if only one material and one structure are usually selected to design a device, the device service life will be shorter than expected and the design will be unreasonable.

[0003] Therefore, the present invention provides a method for improving the service life of an organic electroluminescent device. Summary of the invention

[0004] The present invention provides a method for improving the service life of an organic electroluminescent device, which is used to match different production processes by selecting different materials, and to formulate a plurality of material heat dissipation structures according to the characteristics of the materials and the production processes, and to select the most efficient heat dissipation structure of the material-production process as the structure of a test piece through prediction analysis, and finally to test all the test pieces, and to predict the service life according to the test results, and to select the test piece with the highest predicted service life as the final design.

[0005] In one aspect, the present invention provides a method for increasing the service life of an organic electroluminescent device, comprising:

[0006] Step 1: According to the historical test library, all service lives of the target organic electroluminescent device are obtained, and the basic service life is obtained by removing duplicates and averaging;

[0007] Step 2: Generate a material name list set according to the preset material library, match any material in the material name list set with the corresponding production process, obtain a material-production process mapping table and assign a number, where the relationship between materials and production processes is one-to-many;

[0008] Step 3: Design the most effective heat dissipation structure for any material in the material name list set, and manufacture a corresponding test piece based on the production process;

[0009] Step 4: According to the test parameters of the target organic electroluminescent device, build a test environment and predict the life of all test pieces to obtain the predicted service life of all test pieces, and select the material and production process corresponding to the test piece with the highest predicted service life as the optimal combination.

[0010] On the other hand, according to the historical test library, all service lives of the target organic electroluminescent device are obtained, including:

[0011] collecting service life data of different production batches of a target organic electroluminescent device from a historical test library;

[0012] The service life data of the target organic electroluminescent device is subjected to data preprocessing and standardization to obtain standard service life data.

[0013] On the other hand, the basic service life can be obtained by removing duplicates and averaging, including:

[0014] Construct a service life database based on the standard fields of the preset database;

[0015] Generate mapping data corresponding to the standard service life data, the corresponding production batch and the basic production parameters, and store them in the service life database;

[0016] Acquire all raw data in a service life database of a target organic electroluminescent device, perform data deduplication processing after screening the raw data for abnormalities, and obtain first service life data;

[0017] The mean value of the first service life data is obtained by using a mean value algorithm, and the mean value is the basic service life of the target organic electroluminescent device.

[0018] On the other hand, a material name list set is generated according to a preset material library, and any material in the material name list set is matched with a corresponding production process, including:

[0019] Obtain detailed material information of a preset material library, and based on the preset implementation function of the target organic electroluminescent device, obtain matching correlations between the preset implementation function and different types of materials according to a mapping table of function-material-correlation;

[0020] According to a preset relevance threshold, multiple materials with a relevance greater than the preset relevance threshold are screened out, and a material name list set is formed;

[0021] According to the material parameters of any material in the material name list set, match any production process and get the matching degree:

[0022] ; Among them, Q represents the matching degree between current materials and production processes, represents the preset matching lower limit between the i-th material parameter of the current material and the production process, n represents that the current material has a total of n material parameters, represents the average predicted matching degree between the i-th material parameter and the production process, represents the adjustment parameter, represents the minimum predicted matching degree between the i-th material parameter and the production process, represents the deviation function;

[0023] According to the preset lower limit of the matching degree of clustering, a type of cluster is generated with the material as the center and the production processes above the preset lower limit of the matching degree as cluster units.

[0024] On the other hand, a material-production process mapping table is obtained and numbered, where materials and production processes are in a one-to-many relationship, including:

[0025] Generate a material-production process mapping table based on the intra-cluster relationship of any type of material cluster;

[0026] According to the unit relationship between the current material and the production process, combined with the logical relationship between the execution of different production processes, a unique number with a sequence is configured for the material-production process unit relationship, and the number includes the material type, production process, and production process sequence.

[0027] On the other hand, the most effective heat dissipation structure is designed using any material in the material name list set, including:

[0028] Select any material from the material name list set, obtain the thermal conductivity characteristic parameter of the selected material, obtain the first requirement of the heat dissipation structure, and design the first heat dissipation structure according to the first requirement;

[0029] Based on the material-production process mapping table, all production processes corresponding to the selected material are obtained, and a production process combination is determined according to the production process number, and a production condition parameter of the production process combination is obtained to obtain a plurality of second heat dissipation structures that can meet the heat dissipation requirements of the production process combination, thereby obtaining a second heat dissipation structure set;

[0030] The heat dissipation efficiency of the first heat dissipation structure and the second heat dissipation structure set is calculated using a heat dissipation auxiliary calculation model, and the heat dissipation efficiency of the first heat dissipation structure is compared with the heat dissipation efficiency of any second heat dissipation structure in the second heat dissipation structure set; the heat dissipation structure corresponding to the highest heat dissipation efficiency is selected as the most effective heat dissipation structure corresponding to the selected material.

[0031] On the other hand, the corresponding test piece is manufactured based on the production process, including:

[0032] Use computer-aided design tools to draw a three-dimensional model of the most effective heat dissipation structure;

[0033] Generate control instructions for different production equipment and process operations based on the most effective heat dissipation structure and production condition parameters of the production process combination corresponding to the selected material;

[0034] Based on the three-dimensional model and the control instructions, a process operation is input to the production equipment to produce a test piece of a target organic electroluminescent device having a corresponding most effective heat dissipation structure for each selected material.

[0035] On the other hand, according to the test parameters of the target organic electroluminescent device, a test environment is built and the life of all test pieces is predicted to obtain the predicted service life of all test pieces, and the materials and production processes corresponding to the test piece with the highest predicted service life are selected as the optimal combination, including:

[0036] Build a test environment according to the test parameters of the target organic electroluminescent device;

[0037] Generate a voltage-current variation curve according to the current test result and the voltage test result of each test piece;

[0038] Determine the life parameters of each test piece according to the change curve of voltage and current combined with the test parameters, and predict the predicted service life of each test piece based on the life prediction model;

[0039] The material and production process corresponding to the test piece with the highest predicted service life are selected as the optimal combination.

[0040] The present invention provides a method for improving the service life of an organic electroluminescent device, which is used to match different production processes by selecting different materials, and to formulate a plurality of material heat dissipation structures according to the characteristics of the materials and the production processes, and to select the most efficient heat dissipation structure of the material-production process as the structure of a test piece through prediction analysis, and finally to test all the test pieces, and to predict the service life according to the test results, and to select the test piece with the highest predicted service life as the final design. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 The present invention is a flowchart of a method for improving the service life of an organic electroluminescent device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Embodiment 1:

[0045] like Figure 1 As shown, a method for improving the service life of an organic electroluminescent device provided by an embodiment of the present invention includes:

[0046] Step 1: According to the historical test library, all service lives of the target organic electroluminescent device are obtained, and the basic service life is obtained by removing duplicates and averaging;

[0047] Step 2: Generate a material name list set according to the preset material library, match any material in the material name list set with the corresponding production process, obtain a material-production process mapping table and assign a number, where the relationship between materials and production processes is one-to-many;

[0048] Step 3: Design the most effective heat dissipation structure for any material in the material name list set, and manufacture a corresponding test piece based on the production process;

[0049] Step 4: According to the test parameters of the target organic electroluminescent device, build a test environment and predict the life of all test pieces to obtain the predicted service life of all test pieces, and select the material and production process corresponding to the test piece with the highest predicted service life as the optimal combination.

[0050] In this embodiment, the historical test library refers to a database that records previously performed test data of organic electroluminescent devices (OLEDs), including: service life data, device parameters, environmental conditions, test methods and results, etc.

[0051] In this embodiment, the organic electroluminescent device is a special type of display device that uses organic materials as a light-emitting layer. The OLED device generates light by exciting the organic thin film with electric current.

[0052] In this embodiment, the service life refers to the duration or number of cycles that the electroluminescent device can achieve under normal use conditions.

[0053] In this embodiment, deduplication and averaging are deduplication and averaging, wherein the deduplication process refers to removing these duplicate records to ensure that each device is calculated only once; averaging refers to averaging the deduplication data to calculate the average value of all different test results.

[0054] In this embodiment, the basic service life refers to the average usable time or usable cycles of the organic electroluminescent device under specific test conditions.

[0055] In this embodiment, the preset material library refers to a set of pre-defined material name lists, which are pre-selected based on material-specific performance requirements, availability, and other design considerations, such as different types of metals, plastics, composite materials, etc.

[0056] In this embodiment, the material name list set refers to a list of various material names used to manufacture organic electroluminescent devices.

[0057] In this embodiment, the production process refers to the steps and processes required to manufacture a certain product or component, including: material preparation and processing, processing and manufacturing, assembly and connection, heat dissipation structure design and implementation, etc.

[0058] In this embodiment, the material-production process mapping table is a data structure that records the production process set corresponding to each material in the process of manufacturing the organic electroluminescent device.

[0059] In this embodiment, the number refers to an identifier assigned to uniquely identify each record in the material-production process mapping table.

[0060] In this embodiment, the most effective heat dissipation structure refers to a solution with the best heat dissipation effect designed for the organic electroluminescent device.

[0061] In this embodiment, the test piece refers to an actual test sample of a heat dissipation structure designed using different materials.

[0062] In this embodiment, the test parameters cover various factors for evaluating the performance and life of the target organic electroluminescent device, including current, voltage, temperature, luminous efficiency, humidity, spectral characteristics and other parameters.

[0063] In this embodiment, the test environment refers to experimental conditions and equipment specially set up to evaluate and verify the performance and life of the target organic electroluminescent device.

[0064] In this embodiment, life prediction refers to the process of predicting the service life of a device under specific conditions through experiments or simulations.

[0065] In this embodiment, the predicted service life refers to the length of time that the device can continue to work stably under specific conditions, calculated based on experimental data and models.

[0066] In this embodiment, the optimal combination refers to a combination of materials and production processes selected through life prediction, which has the highest predicted service life.

[0067] The working principle and beneficial effects of the above technical solution are: by optimizing the heat dissipation design and material selection, the performance and service life of the organic electroluminescent device are improved, while saving costs and resources, enhancing product competitiveness, and meeting the requirements of sustainable development.

[0068] Embodiment 2:

[0069] On the basis of the above-mentioned embodiment 1, all service lives of the target organic electroluminescent device are obtained according to the historical test library, including:

[0070] collecting service life data of different production batches of a target organic electroluminescent device from a historical test library;

[0071] The service life data of the target organic electroluminescent device is subjected to data preprocessing and standardization to obtain standard service life data.

[0072] In this embodiment, a production batch refers to a group of products produced in batches during a production process.

[0073] In this embodiment, the service life data is to record the time that the organic electroluminescent device can continue to work in actual use, including data such as the production date and the after-sales date.

[0074] In this embodiment, pre-processing and standardization refers to performing a series of data processing steps on the collected service life data of the organic electroluminescent device, including: data cleaning, data conversion, data normalization and other operations.

[0075] The working principle and beneficial effects of the above technical solution are: by integrating the service life data of different production batches and performing data preprocessing and standardization, the consistency and comparability of the data are improved, the introduction of errors is reduced, and the decision-making support capabilities are optimized.

[0076] Embodiment 3:

[0077] On the basis of the above-mentioned embodiment 2, the basic service life is obtained by removing duplicates and averaging, including:

[0078] Construct a service life database based on the standard fields of the preset database;

[0079] Generate mapping data corresponding to the standard service life data, the corresponding production batch and the basic production parameters, and store them in the service life database;

[0080] Acquire all raw data in a service life database of a target organic electroluminescent device, perform data deduplication processing after screening the raw data for abnormalities, and obtain first service life data;

[0081] The mean value of the first service life data is obtained by using a mean value algorithm, and the mean value is the basic service life of the target organic electroluminescent device.

[0082] In this embodiment, the service life database is a database used to store and manage service life-related data of products or equipment during actual use.

[0083] In this embodiment, the standard field of the preset database refers to a pre-set field standard containing service life related data.

[0084] In this embodiment, the basic production parameters refer to the key parameters and characteristics of the product during the manufacturing process, including: production batch, production date, technical specifications, process parameters, etc.

[0085] In this embodiment, the mapping data refers to data that corresponds the standard service life data to the production batch and the basic production parameters.

[0086] In this embodiment, the original data refers to the initially collected data recorded in the service life database, including specific service life data points of each organic electroluminescent device.

[0087] In this embodiment, anomaly screening is a process for identifying and processing data points that are abnormal or do not conform to expected patterns.

[0088] In this embodiment, the first service life data refers to a set of original service life data after initial screening and processing.

[0089] The working principle and beneficial effects of the above technical solution are: through standardized data storage and mapping, anomaly screening and mean calculation, the service life data quality and reliability of the target organic electroluminescent device are improved, supporting product life management and performance optimization.

[0090] Embodiment 4:

[0091] On the basis of the above-mentioned embodiment 1, a material name list set is generated according to a preset material library, and any material in the material name list set is matched with a corresponding production process, including:

[0092] Obtain detailed material information of a preset material library, and based on the preset implementation function of the target organic electroluminescent device, obtain matching correlations between the preset implementation function and different types of materials according to a mapping table of function-material-correlation;

[0093] According to a preset relevance threshold, multiple materials with a relevance greater than the preset relevance threshold are screened out, and a material name list set is formed;

[0094] According to the material parameters of any material in the material name list set, match any production process and get the matching degree:

[0095] ; Among them, Q represents the matching degree between current materials and production processes, represents the preset matching lower limit between the i-th material parameter of the current material and the production process, n represents that the current material has a total of n material parameters, represents the average predicted matching degree between the i-th material parameter and the production process, represents the adjustment parameter, represents the minimum predicted matching degree between the i-th material parameter and the production process, represents the deviation function;

[0096] According to the preset lower limit of the matching degree of clustering, a type of cluster is generated with the material as the center and the production processes above the preset lower limit of the matching degree as cluster units.

[0097] In this embodiment, the preset material library refers to a predefined material information database, which contains detailed information of various materials, such as material name, material parameters, production process matching degree, etc.

[0098] In this embodiment, detailed material information refers to specific data and characteristic descriptions about each material, including: material name, material parameters, production process matching degree, etc.

[0099] In this embodiment, the preset implementation function refers to the specific function or performance feature to be achieved in the design or goal, including: luminous efficiency, color adjustment capability, response speed and other functions.

[0100] In this embodiment, the function-material-correlation mapping table is a data table that describes the degree of association between the preset implementation functions and different types of materials.

[0101] In this embodiment, the matching correlation refers to the coefficient of the degree of adaptation between the material and the target function or production process.

[0102] In this embodiment, the preset correlation threshold is a pre-set value used to screen out materials with a high correlation with the target function.

[0103] In this embodiment, the material name list set refers to a name list of multiple materials screened according to a preset relevance threshold.

[0104] In this embodiment, material parameters refer to quantitative indicators that describe the physical, chemical and photoelectric properties of materials.

[0105] In this embodiment, the matching degree is a quantitative index used to evaluate the compatibility between a specific material and a production process.

[0106] In this embodiment, the predicted matching degree refers to the expected matching degree obtained based on the technical professional theoretical analysis of experts between the material parameters of the material and the requirements of a specific production process.

[0107] In this embodiment, the preset lower limit of the matching degree is a pre-set standard, and the materials having the lowest lower limit correlation with the preset realization function of the target organic electroluminescent device are screened out.

[0108] In this embodiment, the deviation function is a mathematical function used to quantify the deviation between the predicted matching degree between the material parameters of the current material and the production process and the set error reference value.

[0109] In this embodiment, the adjustment parameter is to adjust the calculation of the matching degree according to actual needs to ensure that the final matching degree can more accurately reflect the matching situation between the material and the production process.

[0110] In this embodiment, clustering divides objects in a data set into a number of clusters according to a certain similarity metric, so that objects in the same cluster have a higher similarity, while objects in different clusters have a lower similarity.

[0111] In this embodiment, the cluster unit refers to a basic component formed by the clustering process.

[0112] The working principle and beneficial effects of the above technical solution are: based on function-material mapping, screening highly relevant materials and matching production processes, optimizing material selection, and improving device design efficiency and product performance.

[0113] Embodiment 5:

[0114] Based on the above-mentioned embodiment 4, a material-production process mapping table is obtained and numbered, wherein materials and production processes are in a one-to-many relationship, including:

[0115] Generate a material-production process mapping table based on the intra-cluster relationship of any type of material cluster;

[0116] According to the unit relationship between the current material and the production process, combined with the logical relationship between the execution of different production processes, a unique number with a sequence is configured for the material-production process unit relationship, and the number includes the material type, production process, and production process sequence.

[0117] In this embodiment, the intra-cluster relationship refers to the relationship between various production processes within a certain type of material cluster formed through the clustering process based on the matching degree between them and the materials.

[0118] In this embodiment, the material-production process mapping table is a table that describes and records the corresponding relationship between specific materials and the production processes that need to be performed in the production process.

[0119] In this embodiment, the unit relationship represents the matching between materials and production processes, and includes logical connections in terms of execution sequence, operating conditions, dependencies, etc.

[0120] In this embodiment, the execution before and after logical relationship in the production process refers to the relationship between different production processes in a certain order, such as process sequence, material processing sequence, equipment use sequence, etc.

[0121] The working principle and beneficial effects of the above technical solution are: by constructing a material-process mapping table and a numbering system, the accuracy of production management is improved, the process is optimized, traceability is enhanced, and standardized production is promoted.

[0122] Embodiment 6:

[0123] Based on the above embodiment 5, designing the most effective heat dissipation structure for any material in the material name list set includes:

[0124] Select any material from the material name list set, obtain the thermal conductivity characteristic parameter of the selected material, obtain the first requirement of the heat dissipation structure, and design the first heat dissipation structure according to the first requirement;

[0125] Based on the material-production process mapping table, all production processes corresponding to the selected material are obtained, and a production process combination is determined according to the production process number, and a production condition parameter of the production process combination is obtained to obtain a plurality of second heat dissipation structures that can meet the heat dissipation requirements of the production process combination, thereby obtaining a second heat dissipation structure set;

[0126] The heat dissipation efficiency of the first heat dissipation structure and the second heat dissipation structure set is calculated using a heat dissipation auxiliary calculation model, and the heat dissipation efficiency of the first heat dissipation structure is compared with the heat dissipation efficiency of any second heat dissipation structure in the second heat dissipation structure set; the heat dissipation structure corresponding to the highest heat dissipation efficiency is selected as the most effective heat dissipation structure corresponding to the selected material.

[0127] In this embodiment, the heat conduction characteristic parameters are physical quantities that describe the ability of a material to conduct heat, including parameters such as thermal conductivity, thermal diffusivity, and specific heat capacity.

[0128] In this embodiment, the first requirement refers to the basic requirement for heat dissipation structure design determined according to the thermal conductivity characteristic parameters of the selected material, including: heat dissipation capacity, space limitation, cost-effectiveness, etc.

[0129] In this embodiment, the heat dissipation structure refers to a physical structure designed and constructed to effectively conduct, disperse or discharge heat.

[0130] In this embodiment, the first heat dissipation structure refers to a preliminary heat dissipation solution designed according to the thermal conductivity characteristic parameters of the selected material and the first requirement.

[0131] In this embodiment, the production condition parameters refer to the parameters that need to be met in order to successfully build a heat dissipation structure during the production process, including: temperature, pressure, humidity, equipment parameters, etc.

[0132] In this embodiment, the second heat dissipation structure set refers to a set of multiple possible heat dissipation structure solutions designed by obtaining different production process combinations based on the material-production process mapping table, and production condition parameters corresponding to these combinations.

[0133] In this embodiment, the heat dissipation auxiliary calculation model is a mathematical model used to evaluate and optimize the performance of the heat dissipation structure, and is composed of heat conduction equations, geometric physical parameters, finite difference algorithms, etc.

[0134] In this embodiment, the heat dissipation efficiency refers to the ratio of the heat removed from the device by the heat dissipation system in a unit time to the heat generated by the device in the same unit time.

[0135] In this embodiment, the unit structure is a basic component unit in the second heat dissipation structure set.

[0136] The working principle and beneficial effects of the above technical solution are: design the heat dissipation structure according to the material characteristics, combine the production process optimization plan, select the structure with the highest heat dissipation efficiency through the calculation model, and improve the product's heat dissipation performance and production flexibility.

[0137] Embodiment 7:

[0138] On the basis of the above-mentioned embodiment 6, the corresponding test piece is manufactured based on the production process, including:

[0139] Use computer-aided design tools to draw a three-dimensional model of the most effective heat dissipation structure;

[0140] Generate control instructions for different production equipment and process operations based on the most effective heat dissipation structure and production condition parameters of the production process combination corresponding to the selected material;

[0141] Based on the three-dimensional model and the control instructions, a process operation is input to the production equipment to produce a test piece of a target organic electroluminescent device having a corresponding most effective heat dissipation structure for each selected material.

[0142] In this embodiment, a computer-aided design tool (CAD) is a widely used technical tool that utilizes the graphic function of a computer system to help designers perform various design tasks.

[0143] In this embodiment, the three-dimensional model is a polygonal representation of an object, which is a mathematical representation of geometric modeling of an object or scene in three-dimensional space.

[0144] In this embodiment, the control instruction refers to a series of instruction sets used to guide and control the production equipment to perform specific operations.

[0145] In this embodiment, the process operation refers to a series of detailed production operation steps and processes formulated according to the three-dimensional model of the most effective heat dissipation structure and production parameters.

[0146] In this embodiment, the production equipment refers to mechanical equipment used to actually manufacture or process products, such as material processing equipment, assembly equipment, heat treatment equipment, etc.

[0147] The working principle and beneficial effects of the above technical solution are: using CAD to draw a three-dimensional model of the heat dissipation structure, generating control instructions to guide automated production, combining materials to make OLED test pieces, and improving production efficiency, quality and product competitiveness.

[0148] Embodiment 8:

[0149] On the basis of the above-mentioned embodiment 1, according to the test parameters of the target organic electroluminescent device, a test environment is set up and the lifespan of all test pieces is predicted to obtain the predicted service life of all test pieces, and the materials and production processes corresponding to the test pieces with the highest predicted service life are selected as the optimal combination, including:

[0150] Build a test environment according to the test parameters of the target organic electroluminescent device;

[0151] Generate a voltage-current variation curve according to the current test result and the voltage test result of each test piece;

[0152] Determine the life parameters of each test piece according to the change curve of voltage and current combined with the test parameters, and predict the predicted service life of each test piece based on the life prediction model;

[0153] The material and production process corresponding to the test piece with the highest predicted service life are selected as the optimal combination.

[0154] In this embodiment, the test result current refers to the current value flowing through the target organic electroluminescent device under the test environment recorded in real time by a measuring device (such as a digital source meter).

[0155] In this embodiment, the test result voltage refers to the voltage value flowing through the target organic electroluminescent device under the test environment recorded in real time by a measuring device (such as a digital source meter).

[0156] In this embodiment, the voltage-current variation curve is a graph describing the current response of the target organic electroluminescent device under different voltages. The curve uses voltage (V) as the horizontal axis and current (I) as the vertical axis, showing the relationship between voltage and current of the device during the luminescence test.

[0157] In this embodiment, the life parameter refers to a key indicator used to evaluate the performance degradation rate and expected life of the target organic electroluminescent device during use, such as: luminous efficiency, current density, voltage stability, and material aging characteristics.

[0158] In this embodiment, the life prediction model is a mathematical model used to predict the service life of the target organic electroluminescent device, such as the Coffin-Manson model, which describes the life behavior of the material under fatigue load.

[0159] The working principle and beneficial effects of the above technical solution are: by building a test environment and evaluating the performance of OLED test pieces, and then predicting the life based on the voltage-current curve, the optimal combination of materials and processes is selected, thereby improving product quality and competitiveness and extending the product's service life.

[0160] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for increasing the service life of an organic electroluminescent device, characterized in that: include: Step 1: According to the historical test library, all service lives of the target organic electroluminescent device are obtained, and the basic service life is obtained by removing duplicates and averaging; Step 2: Generate a material name list set according to the preset material library, and match any material in the material name list set with a corresponding production process, including: obtaining detailed material information of the preset material library, and based on the preset implementation function of the target organic electroluminescent device, obtaining matching correlations between the preset implementation function and different types of materials according to a function-material-correlation mapping table; According to a preset relevance threshold, multiple materials with a relevance greater than the preset relevance threshold are screened out, and a material name list set is formed; According to the material parameters of any material in the material name list set, match any production process and get the matching degree: ; Among them, Q represents the matching degree between current materials and production processes, represents the preset lower limit of matching between the i-th material parameter and the production process, n represents that the current material has a total of n material parameters, represents the average value of the predicted matching degree between the i-th material parameter of the current material and the production process, represents the adjustment parameter, represents the minimum predicted matching degree between the i-th material parameter of the current material and the production process, represents the deviation function; According to a preset lower limit of the matching degree of clustering, a cluster is generated with the material as the center and the production processes above the preset lower limit of the matching degree as cluster units; Get the material-production process mapping table and assign numbers, where materials and production processes are in a one-to-many relationship; Step 3: Design the most effective heat dissipation structure for any material in the material name list set, and manufacture a corresponding test piece based on the production process; Step 4: According to the test parameters of the target organic electroluminescent device, build a test environment and predict the life of all test pieces to obtain the predicted service life of all test pieces, and select the material and production process corresponding to the test piece with the highest predicted service life as the optimal combination.

2. A method for increasing the service life of an organic electroluminescent device according to claim 1, characterized in that: Based on the historical test library, obtain all the service life of the target organic electroluminescent device, including: collecting service life data of different production batches of a target organic electroluminescent device from a historical test library; The service life data of the target organic electroluminescent device is subjected to data preprocessing and standardization to obtain standard service life data.

3. A method for increasing the service life of an organic electroluminescent device according to claim 2, characterized in that: The basic service life is obtained by removing duplicates and averaging, including: Construct a service life database based on the standard fields of the preset database; Generate mapping data corresponding to the standard service life data, the corresponding production batch and the basic production parameters, and store them in the service life database; Acquire all raw data in a service life database of a target organic electroluminescent device, perform data deduplication processing after screening the raw data for abnormalities, and obtain first service life data; The mean value of the first service life data is obtained by using a mean value algorithm, and the mean value is the basic service life of the target organic electroluminescent device.

4. The method for increasing the service life of an organic electroluminescent device according to claim 1, characterized in that: Get the material-production process mapping table and configure the number, including: Generate a material-production process mapping table based on the intra-cluster relationship of any type of material cluster; According to the correspondence between the current materials and production processes, combined with the logical relationship between the execution of different production processes, a unique number with a sequence is configured for the correspondence between the materials and the production processes, and the number includes the material type, production process, and production process sequence.

5. A method for increasing the service life of an organic electroluminescent device according to claim 4, characterized in that: Design the most effective heat dissipation structure for any material in the material name list set, including: Select any material from the material name list set, obtain the thermal conductivity characteristic parameter of the selected material, obtain the first requirement of the heat dissipation structure, and design the first heat dissipation structure according to the first requirement; Based on the material-production process mapping table, all production processes corresponding to the selected material are obtained, and a production process combination is determined according to the production process number, and a production condition parameter of the production process combination is obtained to obtain a plurality of second heat dissipation structures that can meet the heat dissipation requirements of the production process combination, thereby obtaining a second heat dissipation structure set; The heat dissipation efficiency of the first heat dissipation structure and the second heat dissipation structure set is calculated using a heat dissipation auxiliary calculation model, and the heat dissipation efficiency of the first heat dissipation structure is compared with the heat dissipation efficiency of any second heat dissipation structure in the second heat dissipation structure set; the heat dissipation structure corresponding to the highest heat dissipation efficiency is selected as the most effective heat dissipation structure corresponding to the selected material.

6. The method for increasing the service life of an organic electroluminescent device according to claim 5, characterized in that: Manufacture corresponding test pieces based on production processes, including: Use computer-aided design tools to draw a three-dimensional model of the most effective heat dissipation structure; Generate control instructions for different production equipment and process operations based on the most effective heat dissipation structure and production condition parameters of the production process combination corresponding to the selected material; Based on the three-dimensional model and the control instructions, a process operation is input to the production equipment to produce a test piece of a target organic electroluminescent device having a corresponding most effective heat dissipation structure for each selected material.

7. The method for increasing the service life of an organic electroluminescent device according to claim 1, characterized in that: According to the test parameters of the target organic electroluminescent device, a test environment is built and the life of all test pieces is predicted to obtain the predicted service life of all test pieces. The materials and production processes corresponding to the test piece with the highest predicted service life are selected as the optimal combination, including: Build a test environment according to the test parameters of the target organic electroluminescent device; Generate a voltage-current variation curve according to the current test result and the voltage test result of each test piece; Determine the life parameters of each test piece according to the voltage-current change curve combined with the test parameters, and predict the predicted service life of each test piece based on the life prediction model; The material and production process corresponding to the test piece with the highest predicted service life are selected as the optimal combination.

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