Flexible transparent display screen material detection process method

Abstract

The invention relates to the technical field of flexible transparent display screen material detection data processing, provides a flexible transparent display screen material detection process method, and aims to solve the problems of data inconsistency and incomparability caused by different detection equipment and conditions. Comprising the following steps: acquiring transparency, luminescence characteristics, flexibility, adhesion strength, mechanical properties, electrical properties and environmental adaptability data of a material; receiving a client detection request, matching the light transmittance test model according to the environmental condition data, and performing a light transmittance test; configuring a luminescence characteristic test parameter based on the standardized light transmittance data, and setting a flexibility test parameter; and matching a bending tester, a distortion tester and an electronic tension tester model, and processing data to obtain an accuracy detection result. In addition, the ant colony algorithm is adopted to optimize the detection result, and the accuracy and comparability of flexible transparent display screen material detection are improved through standardized data processing and model matching.

Description

Technical Field

[0001] The present invention relates to the technical field of flexible transparent display screen material detection data processing, and in particular to a flexible transparent display screen material detection process method. Background Art

[0002] Flexible transparent display screen material testing technology is a whole process from raw material selection to finished product testing, which aims to evaluate parameters such as material transparency, flexibility, adhesion strength, and luminous properties. For example, for transparency, a transmittance tester is usually used to measure the proportion of light passing through the screen; for flexibility, the stability and resilience of the screen are evaluated by simulating the bending and twisting conditions in actual use; in addition, a coating film peeling test is used to evaluate the adhesion strength between the coating film and the substrate in the screen, and professional optical instruments and colorimeters are used to detect the luminous properties of the screen, including brightness, contrast, color gamut, etc.

[0003] The detection of flexible transparent display screen materials will generate a large amount of data including information on optical, electrical, mechanical properties, etc. Due to the differences in detection equipment and detection conditions, there are inconsistencies and incomparability between the data of flexible transparent display screen materials from different batches or different sources, which affects the accuracy of flexible transparent display screen material detection. In order to solve this technical pain point, the present invention provides a flexible transparent display screen material detection process method. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a flexible transparent display screen material detection process method to solve the problem that due to differences in detection equipment and detection conditions, there are inconsistencies and incomparability between flexible transparent display screen material data from different batches or different sources, thereby affecting the accuracy of flexible transparent display screen material detection.

[0005] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: The present invention provides a flexible transparent display screen material detection process method, comprising: Step S101, the server obtains transparency data of the flexible transparent display screen material, luminous property data of the flexible transparent display screen material, flexibility data of the flexible transparent display screen material, adhesion strength data of the flexible transparent display screen material, mechanical property data of the flexible transparent display screen material, electrical property data of the flexible transparent display screen material, and environmental adaptability data of the flexible transparent display screen material, and obtains original data of the flexible transparent display screen material; Step S102, the server receives a flexible transparent display screen material detection request from the client, the flexible transparent display screen material detection request includes material information data, detection parameter data and environmental condition data, and pre-processes the flexible transparent display screen material detection request to obtain a detection task ID; Step S103, the server retrieves the environmental condition data of the flexible transparent display screen material detection request according to the detection task ID, obtains the environmental condition data corresponding to the detection task ID, matches the environmental condition data corresponding to the detection task ID in a preset model knowledge base, obtains the transmittance test model corresponding to the detection task ID, uses the transmittance test model, and performs a transmittance test on the flexible transparent display screen material under the specified ambient light intensity, light wavelength range and observation angle according to the environmental condition data of the flexible transparent display screen material detection request to obtain the transmittance test data; Step S104: Based on the standardized transmittance data, the server configures luminous characteristic test parameters, the luminous characteristic test parameters including brightness, color accuracy and contrast, the server preprocesses the luminous characteristic data to obtain preprocessed luminous characteristic data, the server sets bending radius, twisting angle and test number parameters according to the preprocessed luminous characteristic data, matches the preprocessed luminous characteristic data in a preset model knowledge base, and obtains a bending tester model corresponding to the preprocessed luminous characteristic data, a twisting tester model corresponding to the preprocessed luminous characteristic data, and an electronic tensile testing machine model; Step S105, sequentially use the bending tester model corresponding to the preprocessed luminous characteristic data, the torsion tester model corresponding to the preprocessed luminous characteristic data, and the electronic tensile testing machine model to process the preprocessed luminous characteristic data to obtain the accuracy detection result of the flexible transparent display screen material.

[0006] Furthermore, the flexible transparent display screen material detection process method of the present invention, the step S101 comprises: Transparency data of flexible transparent display screen materials include transmittance and haze; The luminous characteristic data of the flexible transparent display screen material includes brightness, contrast and color gamut; The flexibility data of the flexible transparent display screen material includes: bending test data and twisting test data. The bending test data includes bending radius, bending times, and restoring force after bending. The twisting test data includes twisting angle, twisting times, and restoring force after twisting. The mechanical property data of the flexible transparent display screen material include: stretching, compression and bending of the flexible transparent display screen material under mechanical stress; The electrical property data of the flexible transparent display screen material include: data of the flexible transparent display screen material under the action of an electric field or current; The environmental adaptability data of the flexible transparent display screen material includes: data of the flexible transparent display screen material under different environmental conditions.

[0007] Furthermore, in the flexible transparent display screen material detection process method of the present invention, step S102 includes: The server receives a flexible transparent display screen material detection request sent by the client, where the flexible transparent display screen material detection request sent by the client includes material information data, detection parameter data, and environmental condition data; The server parses the received test request and extracts material information data, test parameter data and environmental condition data; The server verifies the parsed data. If there is an error in the data, the server returns the error information to the client. The client resends the test request. After verification, the server generates a test task ID based on the material information data, test parameter data, and environmental condition data. The detection task ID is used to identify this detection task. The server stores the detection task ID, material information data, detection parameter data and environmental condition data in the database.

[0008] Furthermore, in the flexible transparent display screen material detection process method of the present invention, the step S103 comprises: The server retrieves the environmental condition data associated with the detection task ID from the database according to the detection task ID; The environmental condition data associated with the detection task ID includes the ambient light intensity, temperature and humidity required for the test; The server uses the retrieved environmental condition data associated with the detection task ID as input and matches it in the preset model knowledge base. The server obtains the most matching transmittance test model by comparing the environmental condition data with the entries in the model knowledge base; When the transmittance test model is matched, the server selects and loads the transmittance test model, and loads the algorithm, parameter settings and test process required for the transmittance test; The server configures test parameters according to the environmental condition data in the flexible transparent display screen material detection request and the loaded transmittance test model, and the test parameters include ambient light intensity, light wavelength range and observation angle; The server uses the configured test parameters to control the transmittance test equipment to perform a transmittance test on the flexible transparent display screen material.

[0009] During the test, the transmittance test equipment performs measurements according to the set parameters and records the test data in real time. After the test is completed, the server obtains the test data from the transmittance test equipment. The transmittance test data includes the transmittance value of the material under different environmental conditions.

[0010] Furthermore, in the flexible transparent display screen material detection process method of the present invention, the step S104 comprises: The server obtains the light transmittance data after the standardization process, and based on the standardization light transmittance data, the server configures the parameters required for the luminous characteristic test, where the luminous characteristic test parameters include brightness, color accuracy, and contrast; The server obtains the original luminous characteristic data and performs preprocessing to obtain preprocessed luminous characteristic data; The server sets the bending radius, twisting angle and test number parameters for the flexibility test according to the preprocessed luminous characteristic data; The server uses the preprocessed luminous characteristic data as input and matches it in a preset model knowledge base, which includes a bending tester model, a twisting tester model, and an electronic tensile testing machine model; The server obtains the best matching test model by comparing the preprocessed luminous characteristic data with the entries in the model knowledge base.

[0011] Furthermore, in the flexible transparent display screen material detection process method of the present invention, the step S105 comprises: The server inputs the preprocessed luminous characteristic data into the bending tester model. The bending tester model processes the input data to simulate the performance of the flexible transparent display screen material under bending conditions. The processing results obtained include brightness change and color accuracy change data after bending. The server inputs the preprocessed luminous characteristic data into the distortion tester model. The distortion tester model processes the input data to simulate the performance of the flexible transparent display screen material under distortion conditions, and obtains the brightness change and color shift data after distortion as the processing result; The server inputs the preprocessed luminous characteristic data into the electronic tensile testing machine model. The electronic tensile testing machine model processes the input data to simulate the performance of the flexible transparent display screen material under the tensile force. The obtained processing results include the material performance data under the tensile test. The server integrates the processing results of the bending tester model, the twisting tester model and the electronic tensile testing machine model.

[0012] The server obtains the accuracy test results of the flexible transparent display screen material by comparing the performance of the simulated test flexible transparent display screen material under twisting conditions with the actual test flexible transparent display screen material under twisting conditions, the simulated test flexible transparent display screen material under bending conditions with the actual test flexible transparent display screen material under bending conditions, and the simulated test flexible transparent display screen material under tension with the actual performance of the flexible transparent display screen material under tension.

[0013] Furthermore, in the flexible transparent display screen material detection process method of the present invention, the step S105 comprises: The accuracy test results of the flexible transparent display screen material include brightness change data after bending, color accuracy change data after bending, brightness change data after twisting, color shift data after twisting, and material performance data under tensile test.

[0014] Furthermore, the flexible transparent display screen material detection process method of the present invention further includes: Use ant colony algorithm to optimize the accuracy detection results of flexible transparent display screen materials; Obtaining initial data: Obtaining the accuracy test results of the flexible transparent display screen material from the server, the accuracy test results of the flexible transparent display screen material including brightness change data after bending, color accuracy change data after bending, brightness change data after distortion, color shift data after distortion, and material performance data under tensile test; Data preprocessing: standardizing the acquired accuracy test results to obtain the accuracy test results of the preprocessed flexible transparent display screen material; Construct an optimization problem model: transform the optimization problem of the accuracy test results of the pre-processed flexible transparent display screen material into a combinatorial optimization problem that can be solved by the ant colony algorithm, and define the objective function as the comprehensive optimization of the performance indicators under bending, twisting and tensile tests; Initialize ant colony algorithm parameters: receive and set ant colony size, pheromone initial value, pheromone volatilization factor, pheromone enhancement factor, and maximum number of iterations; Constructing solution space: Based on the test data of the flexible transparent display screen material, construct the solution space, where each solution in the solution space represents a set of optimized performance parameter combinations; Ant colony search process: ants select paths based on pheromone concentration. Each ant traverses the solution space, calculates the quality of each solution according to the objective function, and releases pheromones. Based on the quality of the solution searched by the ant, the pheromone concentration on the path is updated. The pheromone on the path corresponding to the high-quality solution increases, and the pheromone on the path corresponding to the low-quality solution decreases. Iterative optimization: Repeat the ant colony search process until the maximum number of iterations is reached or the quality of the solution converges.

[0015] Extract the optimal solution: find the path with the highest pheromone concentration from the last iteration. The solution corresponding to the path with the highest pheromone concentration is the accuracy test result of the optimized flexible transparent display screen material. Result verification output: verify whether the optimized result meets the expected requirements. If it meets the preset accuracy standard, the accuracy test result of the optimized flexible transparent display screen material is output. If it does not meet the standard, return to initialize the ant colony algorithm parameters to adjust the algorithm parameters and re-optimize.

[0016] Beneficial effects of the present invention: The present invention constructs a preset model knowledge base, matches the environmental condition data of the detection task in the knowledge base, and selects a suitable test model to perform transmittance, bending, distortion, tension and other tests. This method effectively solves the problems of data inconsistency and incomparability caused by different detection equipment and detection conditions, and significantly improves the accuracy and reliability of the detection results. The present invention systematizes the detection process, and each step is carefully designed from obtaining raw data from the server, receiving detection requests, preprocessing data, matching test models to executing tests and integrating results. Through automated and intelligent data processing methods, manual intervention is reduced, detection efficiency is improved, and the detection cycle is shortened.

[0017] This invention not only focuses on the basic properties of materials such as transparency, flexibility, and adhesion strength, but also deeply evaluates the luminous properties (such as brightness, contrast, and color gamut), mechanical properties (such as stretching, compression, and bending), electrical properties, and environmental adaptability of the materials. Through multi-dimensional testing, it provides strong support for the comprehensive performance evaluation of materials.

[0018] During the testing process, the present invention verifies the accuracy of the test model by comparing the results of the simulation test with the actual test. At the same time, the ant colony algorithm is used to optimize the test results, further improving the accuracy and reliability of the test results. This is of great significance for material research and development, quality control and product application.

[0019] The present invention introduces intelligent data processing technologies, such as data preprocessing, model matching, ant colony algorithm optimization, etc. The application of these technologies not only improves the efficiency and accuracy of data processing, but also provides new ideas and methods for data processing in the field of flexible transparent display screen material detection. The present invention allows the client to customize detection parameters and environmental conditions according to actual needs, and the server generates and executes corresponding detection tasks according to these customized needs. This flexible detection method meets the personalized needs of different users and different application scenarios.

[0020] In summary, the present invention has significant beneficial effects in improving the consistency and comparability of test data, optimizing the test process, providing comprehensive material performance evaluation, enhancing the accuracy of test results, improving the intelligent level of data processing, supporting personalized testing needs, and promoting material research and development and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings without paying any creative labor.

[0022] Figure 1 A schematic flow chart of a flexible transparent display screen material detection process method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] 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 in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described below in conjunction with the drawings. In order to better understand the purpose of the present invention, the present invention is further described below.

[0024] The present invention provides a flexible transparent display screen material detection process method, comprising: Step S101, the server obtains transparency data of the flexible transparent display screen material, luminous property data of the flexible transparent display screen material, flexibility data of the flexible transparent display screen material, adhesion strength data of the flexible transparent display screen material, mechanical property data of the flexible transparent display screen material, electrical property data of the flexible transparent display screen material, and environmental adaptability data of the flexible transparent display screen material, and obtains original data of the flexible transparent display screen material; When obtaining raw data of flexible transparent display screen materials, the server needs to take a series of measures to improve the accuracy and completeness of the data. First, the server should obtain data from reliable sources, such as certified laboratories or suppliers. Second, when receiving data, the server should perform data validation to check the format, scope, and consistency of the data. For missing data, the server should try to obtain it from other sources or mark it as missing so that it can be considered in subsequent processing. For abnormal data, the server should use statistical methods or machine learning algorithms to detect and mark it as abnormal for further analysis or correction.

[0025] Step S102, the server receives a flexible transparent display screen material detection request from the client, the flexible transparent display screen material detection request includes material information data, detection parameter data and environmental condition data, and pre-processes the flexible transparent display screen material detection request to obtain a detection task ID; The client sends a flexible transparent display screen material detection request to the server, including material information data, detection parameter data and environmental condition data.

[0026] The server receives the request and pre-processes the requested data, such as verifying data integrity and format conversion.

[0027] The server generates a unique detection task ID based on the preprocessed request data.

[0028] Step S103, the server retrieves the environmental condition data of the flexible transparent display screen material detection request according to the detection task ID, obtains the environmental condition data corresponding to the detection task ID, matches the environmental condition data corresponding to the detection task ID in a preset model knowledge base, obtains the transmittance test model corresponding to the detection task ID, uses the transmittance test model, and performs a transmittance test on the flexible transparent display screen material under the specified ambient light intensity, light wavelength range and observation angle according to the environmental condition data of the flexible transparent display screen material detection request to obtain the transmittance test data; The server retrieves the corresponding environmental condition data based on the detection task ID.

[0029] The server matches the environmental condition data in the preset model knowledge base and selects the appropriate transmittance test model.

[0030] The server uses the selected transmittance test model to perform transmittance tests on flexible transparent display screen materials under specified ambient light intensity, light wavelength range and observation angle.

[0031] After the test is completed, the server obtains and stores the transmittance test data.

[0032] Step S104: Based on the standardized transmittance data, the server configures luminous characteristic test parameters, the luminous characteristic test parameters including brightness, color accuracy and contrast, the server preprocesses the luminous characteristic data to obtain preprocessed luminous characteristic data, the server sets bending radius, twisting angle and test number parameters according to the preprocessed luminous characteristic data, matches the preprocessed luminous characteristic data in a preset model knowledge base, and obtains a bending tester model corresponding to the preprocessed luminous characteristic data, a twisting tester model corresponding to the preprocessed luminous characteristic data, and an electronic tensile testing machine model; The server standardizes the transmittance test data.

[0033] Based on the standardized transmittance data, the server configures luminous characteristic test parameters such as brightness, color accuracy and contrast.

[0034] The server pre-processes the luminescence characteristic data, such as data cleaning and normalization.

[0035] The server sets the parameters of bending radius, twisting angle and number of tests according to the preprocessed luminous characteristic data.

[0036] The server matches the preprocessed luminous characteristic data in a preset model knowledge base, and selects a suitable bending tester model, a torsion tester model, and an electronic tensile testing machine model.

[0037] When selecting transmittance test models, bend tester models, twist tester models, and electronic tensile tester models, the server should consider the current environmental conditions (such as temperature, humidity, light, etc.), material properties (such as transparency, flexibility, adhesion strength, etc.), and testing requirements (such as accuracy, speed, cost, etc.). The server can use a preset model knowledge base that contains various models and their applicable conditions. By matching the current environmental conditions, material properties, and testing requirements, the server can select the most appropriate model for testing.

[0038] Step S105, sequentially use the bending tester model corresponding to the preprocessed luminous characteristic data, the torsion tester model corresponding to the preprocessed luminous characteristic data, and the electronic tensile testing machine model to process the preprocessed luminous characteristic data to obtain the accuracy detection result of the flexible transparent display screen material.

[0039] The server uses the selected bending tester model, twisting tester model and electronic tensile testing machine model in sequence to process the preprocessed luminous characteristic data.

[0040] The bending tester model simulates or actually tests the performance of flexible transparent display screen materials under bending conditions, and outputs data such as brightness changes and color accuracy changes after bending.

[0041] The distortion tester model simulates or actually tests the performance of materials under distortion conditions, and outputs data such as brightness change and color shift after distortion.

[0042] The electronic tensile testing machine model simulates or actually tests the performance of materials under tension and outputs material performance data under tension testing.

[0043] The server integrates all the above test data to obtain the accuracy test results of the flexible transparent display screen material.

[0044] When testing the accuracy of flexible transparent display screen materials, the server should monitor the test process in real time. This can be achieved by using sensors and monitoring equipment, such as temperature sensors, humidity sensors, light intensity sensors, etc. The server should regularly collect data from these sensors and check whether it is within the preset range. If the test conditions change, the server should adjust or stop the test in time.

[0045] Specifically, the flexible transparent display screen material detection process method of the present invention, step S101 includes: Transparency data of flexible transparent display screen materials include transmittance and haze; The luminous characteristic data of the flexible transparent display screen material includes brightness, contrast and color gamut; The flexibility data of the flexible transparent display screen material includes: bending test data and twisting test data. The bending test data includes bending radius, bending times, and restoring force after bending. The twisting test data includes twisting angle, twisting times, and restoring force after twisting. The mechanical property data of the flexible transparent display screen material include: stretching, compression and bending of the flexible transparent display screen material under mechanical stress; The electrical property data of the flexible transparent display screen material include: data of the flexible transparent display screen material under the action of an electric field or current; The environmental adaptability data of the flexible transparent display screen material includes: data of the flexible transparent display screen material under different environmental conditions.

[0046] Transparency Data Collection: Light transmittance: Use a light transmittance tester to measure the light transmittance ratio of the flexible transparent display screen material within a specific wavelength or visible light range and record it as light transmittance data.

[0047] Haze: The haze tester is used to evaluate the ability of the material surface or interior to scatter light, and the haze value is recorded to reflect the clarity and transparency of the material.

[0048] Luminescence characteristics data collection: Brightness: Use a brightness meter to measure the brightness level of the material in the illuminated state to improve the brightness and uniformity of the display effect.

[0049] Contrast: A contrast tester is used to measure the difference in light and dark of a material when displaying black and white or color images to evaluate its contrast performance.

[0050] Color gamut: Use a color gamut analyzer to measure the range of colors that a material can display, improving the richness and accuracy of colors.

[0051] Flexibility Data Collection: Bending test: Bend Radius: Using a bend testing machine, record how a material behaves when bent to a specific radius.

[0052] Number of bends: Repeat the bend test to record the durability of the material after multiple bends.

[0053] Recovery after bending: Evaluates the material's ability to return to its original shape after bending.

[0054] Twist test: Twist Angle: Using a twist test device, measure the twist angle that a material can withstand.

[0055] Twist times: Repeat the twist test to record the material's durability against twisting.

[0056] Recovery after distortion: Assessing the ability of a material to return to its original shape after distortion.

[0057] Mechanical properties data collection: Tensile testing: Use an electronic tensile testing machine to measure the strength, elongation and breaking point of materials under tensile stress.

[0058] Compression test: The compression tester is used to evaluate the material's resistance and deformation under compressive stress.

[0059] Bending test (different from the bending test in flexibility, which focuses more on the evaluation of mechanical strength): using a bending test device to measure the bending strength and deformation of the material under bending stress.

[0060] Electrical properties data collection: Data under electric field: Use an electric field tester to measure the electrical properties of the material such as dielectric constant and breakdown voltage under the action of an electric field.

[0061] Data under the action of electric current: The current test device is used to evaluate the resistance, conductivity and thermal stability of the material when electric current passes through it.

[0062] Environmental adaptability data collection: Data under different environmental conditions: Temperature adaptability: Test material performance changes, such as light transmittance, flexibility, etc., in high and low temperature environments.

[0063] Humidity adaptability: Evaluate the moisture resistance and moisture resistance of materials in high humidity and low humidity environments.

[0064] Light adaptability: Test the material's stability, fading, and resistance to light aging under different light intensities.

[0065] Chemical adaptability: Evaluate the corrosion resistance and chemical stability of materials after contact with specific chemicals.

[0066] Specifically, the flexible transparent display screen material detection process method of the present invention, step S102 includes: The server receives a flexible transparent display screen material detection request sent by the client, where the flexible transparent display screen material detection request sent by the client includes material information data, detection parameter data, and environmental condition data; The server parses the received test request and extracts material information data, test parameter data and environmental condition data; The server verifies the parsed data. If there is an error in the data, the server returns the error information to the client. The client resends the test request. After verification, the server generates a test task ID based on the material information data, test parameter data, and environmental condition data. The detection task ID is used to identify this detection task. The server stores the detection task ID, material information data, detection parameter data and environmental condition data in the database.

[0067] The server receives the flexible transparent display screen material detection request sent by the client through the network interface. The detection request is encapsulated in a specific data format (such as JSON, XML, etc.), including material information data, detection parameter data, and environmental condition data.

[0068] The server uses a predefined parser to parse the received test request. The parser extracts material information data (such as material type, specification, batch number, etc.), test parameter data (such as test items, test standards, accuracy requirements, etc.) and environmental condition data (such as temperature, humidity, light intensity, etc.) according to the data format specification.

[0069] The server verifies the parsed data, including data type checking, range verification, and required field checking. If the data is erroneous or does not conform to the expected format, the server generates an error message and returns it to the client through the network interface. The error message should include a specific error description and recommended corrective measures so that the client can resend the correct detection request.

[0070] After receiving the error message, the client modifies the detection request data according to the error description. The client resends the modified detection request to the server. The server parses and verifies the received detection request again until the data is correct.

[0071] After verification, the server generates a unique test task ID based on the material information data, test parameter data and environmental condition data. The test task ID can be generated using a UUID (Universal Unique Identifier) ​​or a combination of a timestamp and a random number.

[0072] The server stores the detection task ID, material information data, detection parameter data and environmental condition data in the database.

[0073] The database table structure should be designed reasonably to efficiently store and query the detection task information. When storing, you can use a relational database or a non-relational database, depending on the specific needs and performance considerations.

[0074] The server returns a successful response to the client through the network interface, including information such as the detection task ID and estimated completion time.

[0075] After receiving a successful response, the client can query the detection progress or results based on the detection task ID.

[0076] Specifically, the flexible transparent display screen material detection process method of the present invention, step S103 includes: The server retrieves the environmental condition data associated with the detection task ID from the database according to the detection task ID; The environmental condition data associated with the detection task ID includes the ambient light intensity, temperature and humidity required for the test; The server uses the retrieved environmental condition data associated with the detection task ID as input and matches it in the preset model knowledge base. The server obtains the most matching transmittance test model by comparing the environmental condition data with the entries in the model knowledge base; When the transmittance test model is matched, the server selects and loads the transmittance test model, and loads the algorithm, parameter settings and test process required for the transmittance test; The server configures test parameters according to the environmental condition data in the flexible transparent display screen material detection request and the loaded transmittance test model, and the test parameters include ambient light intensity, light wavelength range and observation angle; The server uses the configured test parameters to control the transmittance test equipment to perform a transmittance test on the flexible transparent display screen material.

[0077] During the test, the transmittance test equipment performs measurements according to the set parameters and records the test data in real time. After the test is completed, the server obtains the test data from the transmittance test equipment. The transmittance test data includes the transmittance value of the material under different environmental conditions.

[0078] The server queries and retrieves the environmental condition data associated with the detection task ID from the database according to the detection task ID. The environmental condition data specifically includes key parameters such as ambient light intensity, temperature, and humidity required for the test.

[0079] The server uses the retrieved environmental condition data as input and compares it with the entries in the preset model knowledge base. The model knowledge base contains multiple transmittance test models, each of which is applicable to a specific range of environmental conditions. The server finds the transmittance test model that best matches the environmental condition data through algorithm or rule matching.

[0080] When the most suitable transmittance test model is matched, the server selects and loads the model. The loading process includes obtaining the algorithm, parameter settings, test process and other files or data required by the model.

[0081] The server configures specific test parameters based on the environmental condition data in the flexible transparent display screen material detection request and the requirements of the loaded transmittance test model. The test parameters include ambient light intensity (such as a specific illuminance value), light wavelength range (such as visible light range or a specific band), and observation angle (such as front, side, or specific angle).

[0082] The server uses the configured test parameters to send instructions to the transmittance test device through the control interface. The transmittance test device performs measurements according to the set parameters, including adjusting the light source intensity, setting the light wavelength range and observation angle, etc. During the test, the device records the test data in real time, such as transmittance value, timestamp, etc.

[0083] After the test is completed, the server obtains the test data from the transmittance test equipment. The transmittance test data includes the transmittance value of the material under different environmental conditions, as well as other related parameters or indicators.

[0084] The server performs preliminary processing on the test data, such as data cleaning and format conversion, for subsequent analysis and storage.

[0085] The server stores the processed test data in the database and associates it with the detection task ID. The server can generate a test report, including detailed information such as test conditions, test process, and test results, for users to query and download.

[0086] Specifically, the flexible transparent display screen material detection process method of the present invention, step S104 includes: The server obtains the light transmittance data after the standardization process, and based on the standardization light transmittance data, the server configures the parameters required for the luminous characteristic test, where the luminous characteristic test parameters include brightness, color accuracy, and contrast; The server obtains the original luminous characteristic data and performs preprocessing to obtain preprocessed luminous characteristic data; The server sets the bending radius, twisting angle and test number parameters for the flexibility test according to the preprocessed luminous characteristic data; The server uses the preprocessed luminous characteristic data as input and matches it in a preset model knowledge base, which includes a bending tester model, a twisting tester model, and an electronic tensile testing machine model; The server obtains the best matching test model by comparing the preprocessed luminous characteristic data with the entries in the model knowledge base.

[0087] The server obtains the standardized transmittance data from the database or test equipment. Standardization improves the consistency and comparability of transmittance data, which is convenient for subsequent analysis and use.

[0088] Based on the standardized transmittance data, the server analyzes the transmittance of the material and configures the parameters required for the luminous characteristic test. The luminous characteristic test parameters include brightness, color accuracy (evaluating color reproduction) and contrast (measuring the difference between light and dark). The server sets a reasonable brightness range, color accuracy standard and contrast requirements based on the transmittance characteristics of the material.

[0089] The server obtains the original luminous characteristic data from the luminous characteristic test device and performs preprocessing on the original data, such as denoising, calibration, normalization, etc., to obtain the preprocessed luminous characteristic data.

[0090] The server analyzes the mechanical properties and durability of the material based on the preprocessed luminous characteristic data. Based on the analysis results, the bending radius, twisting angle and test number parameters for flexibility testing are set. The bending radius reflects the deformation ability of the material when bending, the twisting angle evaluates the material's twisting tolerance, and the test number measures the material's durability.

[0091] The server takes the preprocessed luminous characteristic data as input and matches it in the preset model knowledge base. The preset model knowledge base includes bending tester models, twisting tester models, and electronic tensile testing machine models, etc. These models are pre-established according to the characteristics of the material and the test requirements. The server compares the preprocessed luminous characteristic data with the entries in the model knowledge base through algorithms or rules to find the best matching test model. The matching process takes into account factors such as the type, specification, and expected use environment of the material, so that the selected test model can accurately reflect the performance of the material.

[0092] When the most suitable test model is matched, the server selects and applies the model for subsequent flexibility testing. The application process includes loading the algorithm, parameter settings and test procedures required by the model.

[0093] Specifically, the flexible transparent display screen material detection process method of the present invention, step S105 includes: The server inputs the preprocessed luminous characteristic data into the bending tester model. The bending tester model processes the input data to simulate the performance of the flexible transparent display screen material under bending conditions. The processing results obtained include brightness change and color accuracy change data after bending. The server inputs the preprocessed luminous characteristic data into the distortion tester model. The distortion tester model processes the input data to simulate the performance of the flexible transparent display screen material under distortion conditions, and obtains the brightness change and color shift data after distortion as the processing result; The server inputs the preprocessed luminous characteristic data into the electronic tensile testing machine model. The electronic tensile testing machine model processes the input data to simulate the performance of the flexible transparent display screen material under the tensile force. The obtained processing results include the material performance data under the tensile test. The server integrates the processing results of the bending tester model, the twisting tester model and the electronic tensile testing machine model.

[0094] The server obtains the accuracy test results of the flexible transparent display screen material by comparing the performance of the simulated test flexible transparent display screen material under twisting conditions with the actual test flexible transparent display screen material under twisting conditions, the simulated test flexible transparent display screen material under bending conditions with the actual test flexible transparent display screen material under bending conditions, and the simulated test flexible transparent display screen material under tension with the actual performance of the flexible transparent display screen material under tension.

[0095] The server inputs the preprocessed luminous characteristic data into the bending tester model. Based on the input data, the bending tester model simulates the performance of the flexible transparent display screen material under specific bending radius and bending times. After the model processing is completed, the brightness change data after bending is output to evaluate the brightness retention or attenuation of the material after bending. At the same time, the model also provides color accuracy change data after bending to evaluate the color retention and accuracy of the material after bending.

[0096] The server inputs the preprocessed luminous characteristic data into the distortion tester model. Based on the input data, the distortion tester model simulates the performance of the flexible transparent display screen material under specific distortion angles and distortion times. After the model processing is completed, the brightness change data after distortion is output to reflect the stability of the brightness of the material during the distortion process. In addition, the model also provides color shift data after distortion, which is used to evaluate the degree and stability of the color shift of the material after distortion.

[0097] The server inputs the preprocessed luminous characteristic data into the electronic tensile testing machine model. The electronic tensile testing machine model simulates the performance of the flexible transparent display screen material under a specific tensile force based on the input data. After the model processing is completed, the material performance data under the tensile test is output, including tensile strength, elongation, breaking point, etc., to comprehensively evaluate the mechanical properties of the material.

[0098] The server integrates the processing results of the bending tester model, the twisting tester model and the electronic tensile tester model. The integrated data forms a comprehensive material performance evaluation report, including various performance indicators under bending, twisting and tensile tests.

[0099] The server conducts comparisons between simulation tests and actual tests in turn. First, the performance of the flexible transparent display screen material under distortion conditions in the simulation test is compared with the performance of the actual test under the same distortion conditions to evaluate the accuracy of the distortion simulation test.

[0100] Next, the performance of the flexible transparent display screen material under bending conditions in the simulated test was compared with the performance under the same bending conditions in the actual test to evaluate the accuracy of the bending simulation test. Finally, the performance of the flexible transparent display screen material under tension in the simulated test was compared with the performance under the same tension in the actual test to evaluate the accuracy of the tension simulation test.

[0101] Through the above comparative verification, the server obtained the accuracy test results of the flexible transparent display screen material. The results reflect the consistency between the simulation test and the actual test, providing reliable data support for the subsequent application and development of the material.

[0102] Specifically, the flexible transparent display screen material detection process method of the present invention, step S105 includes: The accuracy test results of the flexible transparent display screen material include brightness change data after bending, color accuracy change data after bending, brightness change data after twisting, color shift data after twisting, and material performance data under tensile test.

[0103] Specifically, the flexible transparent display screen material detection process method of the present invention also includes: Use ant colony algorithm to optimize the accuracy detection results of flexible transparent display screen materials; Obtaining initial data: Obtaining the accuracy test results of the flexible transparent display screen material from the server, the accuracy test results of the flexible transparent display screen material including brightness change data after bending, color accuracy change data after bending, brightness change data after distortion, color shift data after distortion, and material performance data under tensile test; Data preprocessing: standardizing the acquired accuracy test results to obtain the accuracy test results of the preprocessed flexible transparent display screen material; Construct an optimization problem model: transform the optimization problem of the accuracy test results of the pre-processed flexible transparent display screen material into a combinatorial optimization problem that can be solved by the ant colony algorithm, and define the objective function as the comprehensive optimization of the performance indicators under bending, twisting and tensile tests; Initialize ant colony algorithm parameters: receive and set ant colony size, pheromone initial value, pheromone volatilization factor, pheromone enhancement factor, and maximum number of iterations; Constructing solution space: Based on the test data of the flexible transparent display screen material, construct the solution space, where each solution in the solution space represents a set of optimized performance parameter combinations; Ant colony search process: ants select paths based on pheromone concentration. Each ant traverses the solution space, calculates the quality of each solution according to the objective function, and releases pheromones. Based on the quality of the solution searched by the ant, the pheromone concentration on the path is updated. The pheromone on the path corresponding to the high-quality solution increases, and the pheromone on the path corresponding to the low-quality solution decreases. Iterative optimization: Repeat the ant colony search process until the maximum number of iterations is reached or the quality of the solution converges.

[0104] Extract the optimal solution: find the path with the highest pheromone concentration from the last iteration. The solution corresponding to the path with the highest pheromone concentration is the accuracy test result of the optimized flexible transparent display screen material. Result verification output: verify whether the optimized result meets the expected requirements. If it meets the preset accuracy standard, the accuracy test result of the optimized flexible transparent display screen material is output. If it does not meet the standard, return to initialize the ant colony algorithm parameters to adjust the algorithm parameters and re-optimize.

[0105] Steps to optimize the accuracy test results of flexible transparent display screen materials using ant colony algorithm: Step 1: Get initial data The accuracy test results of the flexible transparent display screen material are obtained from the server, including brightness change data after bending, color accuracy change data after bending, brightness change data after twisting, color shift data after twisting, and material performance data under tensile test.

[0106] Step 2: Data Preprocessing The obtained accuracy test results are standardized so that all data can be compared under the same dimension and the influence of different test conditions on the results is eliminated.

[0107] Step 3: Build the optimization problem model The optimization problem of accuracy detection results of flexible transparent display screen materials is transformed into a combinatorial optimization problem that can be solvable by ant colony algorithm, and the objective function is defined as the comprehensive optimization of performance indicators under bending, twisting and tensile tests.

[0108] Step 4: Initialize ant colony algorithm parameters Set the ant colony algorithm parameters such as ant colony size, pheromone initial value, pheromone volatilization factor, pheromone enhancement factor, and maximum number of iterations.

[0109] Step 5: Construct solution space Based on the detection data of flexible transparent display screen materials, a possible solution space is constructed, and each solution represents a set of optimized performance parameter combinations.

[0110] Step 6: Ant colony search process Ants select paths based on pheromone concentrations. Each ant traverses the solution space, calculates the quality of each solution based on the objective function, and releases pheromones.

[0111] Pheromone update: According to the quality of the solution searched by the ants, the pheromone concentration on the path is updated. The pheromone on the path corresponding to the high-quality solution increases, and the pheromone on the path corresponding to the low-quality solution decreases.

[0112] Step 7: Iterative Optimization Repeat step 6 until the maximum number of iterations is reached or the quality of the solution converges.

[0113] Step 8: Extract the optimal solution The path with the highest pheromone concentration is found from the last iteration, and the solution corresponding to the path is the accuracy test result of the optimized flexible transparent display screen material.

[0114] Step 9: Result verification and output Verify whether the optimized results meet the expected requirements, such as whether the performance improvement is significant. If so, output the optimized accuracy test results; if not, return to step 4 to adjust the algorithm parameters and optimize again.

[0115] The technical solution of the present invention solves the problem that due to the differences in testing equipment and testing conditions, there are inconsistencies and incomparability between the data of flexible transparent display screen materials from different batches or different sources, thereby affecting the detection accuracy through the following steps: The server obtains raw data of the flexible transparent display screen material, including transparency data, luminous property data, flexibility data, adhesion strength data, mechanical property data, electrical property data, and environmental adaptability data. In subsequent steps, the luminous property data is preprocessed and standardized.

[0116] The server receives the test request from the client, including material information, test parameters and environmental condition data, and performs preprocessing to generate a test task ID. The environmental condition data is retrieved according to the test task ID and matched in the preset model knowledge base to select the appropriate transmittance test model and perform the transmittance test.

[0117] Based on the standardized transmittance data, the luminous characteristic test parameters such as brightness, color accuracy and contrast are configured, and the bending tester model, the twisting tester model and the electronic tensile testing machine model are matched in the model knowledge base.

[0118] The pre-processed luminous characteristic data is processed using a matching test model to simulate the performance of the material under bending, twisting and tension, and compared with the actual test results. The results of the simulated test and the actual test are integrated to obtain the accuracy test results of the flexible transparent display screen material, and their accuracy is verified by comparison. The ant colony algorithm is used to optimize the accuracy test results, and the optimal solution is found through iterative search to improve the accuracy and reliability of the test results.

[0119] Through these steps, the technical solution of the present invention can effectively solve the problems of data inconsistency and incomparability caused by different detection equipment and conditions, thereby improving the accuracy of flexible transparent display screen material detection.

Claims

1. A flexible transparent display screen material detection process method, characterized in that: include: Step S101, the server obtains transparency data of the flexible transparent display screen material, luminous property data of the flexible transparent display screen material, flexibility data of the flexible transparent display screen material, adhesion strength data of the flexible transparent display screen material, mechanical property data of the flexible transparent display screen material, electrical property data of the flexible transparent display screen material, and environmental adaptability data of the flexible transparent display screen material, and obtains original data of the flexible transparent display screen material; Step S102, the server receives a flexible transparent display screen material detection request from the client, the flexible transparent display screen material detection request includes material information data, detection parameter data and environmental condition data, and pre-processes the flexible transparent display screen material detection request to obtain a detection task ID; Step S103, the server retrieves the environmental condition data of the flexible transparent display screen material detection request according to the detection task ID, obtains the environmental condition data corresponding to the detection task ID, matches the environmental condition data corresponding to the detection task ID in a preset model knowledge base, obtains the transmittance test model corresponding to the detection task ID, uses the transmittance test model, and performs a transmittance test on the flexible transparent display screen material under the specified ambient light intensity, light wavelength range and observation angle according to the environmental condition data of the flexible transparent display screen material detection request to obtain the transmittance test data; Step S104: Based on the standardized transmittance data, the server configures luminous characteristic test parameters, the luminous characteristic test parameters including brightness, color accuracy and contrast, the server preprocesses the luminous characteristic data to obtain preprocessed luminous characteristic data, the server sets bending radius, twisting angle and test number parameters according to the preprocessed luminous characteristic data, matches the preprocessed luminous characteristic data in a preset model knowledge base, and obtains a bending tester model corresponding to the preprocessed luminous characteristic data, a twisting tester model corresponding to the preprocessed luminous characteristic data, and an electronic tensile testing machine model; Step S105, sequentially use the bending tester model corresponding to the preprocessed luminous characteristic data, the torsion tester model corresponding to the preprocessed luminous characteristic data, and the electronic tensile testing machine model to process the preprocessed luminous characteristic data to obtain the accuracy detection result of the flexible transparent display screen material.

2. The flexible transparent display screen material detection process method according to claim 1, characterized in that: The step S101 includes: Transparency data of flexible transparent display screen materials include transmittance and haze; The luminous characteristic data of the flexible transparent display screen material includes brightness, contrast and color gamut; The flexibility data of the flexible transparent display screen material includes: bending test data and twisting test data. The bending test data includes bending radius, bending times, and restoring force after bending. The twisting test data includes twisting angle, twisting times, and restoring force after twisting. The mechanical property data of the flexible transparent display screen material include: stretching, compression and bending of the flexible transparent display screen material under mechanical stress; The electrical property data of the flexible transparent display screen material include: data of the flexible transparent display screen material under the action of an electric field or current; The environmental adaptability data of the flexible transparent display screen material includes: data of the flexible transparent display screen material under different environmental conditions.

3. The flexible transparent display screen material detection process method according to claim 1, characterized in that: The step S102 includes: The server receives a flexible transparent display screen material detection request sent by the client, where the flexible transparent display screen material detection request sent by the client includes material information data, detection parameter data, and environmental condition data; The server parses the received test request and extracts material information data, test parameter data and environmental condition data; The server verifies the parsed data. If there is an error in the data, the server returns the error information to the client. The client resends the test request. After verification, the server generates a test task ID based on the material information data, test parameter data, and environmental condition data. The detection task ID is used to identify this detection task. The server stores the detection task ID, material information data, detection parameter data and environmental condition data in the database.

4. The flexible transparent display screen material detection process method according to claim 1, characterized in that: The step S103 includes: The server retrieves the environmental condition data associated with the detection task ID from the database according to the detection task ID; The environmental condition data associated with the detection task ID includes the ambient light intensity, temperature and humidity required for the test; The server uses the retrieved environmental condition data associated with the detection task ID as input and matches it in the preset model knowledge base. The server obtains the most matching transmittance test model by comparing the environmental condition data with the entries in the model knowledge base; When the transmittance test model is matched, the server selects and loads the transmittance test model, and loads the algorithm, parameter settings and test process required for the transmittance test; The server configures test parameters according to the environmental condition data in the flexible transparent display screen material detection request and the loaded transmittance test model, and the test parameters include ambient light intensity, light wavelength range and observation angle; The server uses the configured test parameters to control the transmittance test equipment to perform a transmittance test on the flexible transparent display screen material. During the test, the transmittance test equipment performs measurements according to the set parameters and records the test data in real time. After the test is completed, the server obtains the test data from the transmittance test equipment. The transmittance test data includes the transmittance value of the material under different environmental conditions.

5. The flexible transparent display screen material detection process method according to claim 1, characterized in that: The step S104 includes: The server obtains the light transmittance data after the standardization process, and based on the standardization light transmittance data, the server configures the parameters required for the luminous characteristic test, where the luminous characteristic test parameters include brightness, color accuracy, and contrast; The server obtains the original luminous characteristic data and performs preprocessing to obtain preprocessed luminous characteristic data; The server sets the bending radius, twisting angle and test number parameters for the flexibility test according to the preprocessed luminous characteristic data; The server uses the preprocessed luminous characteristic data as input and matches it in a preset model knowledge base, which includes a bending tester model, a twisting tester model, and an electronic tensile testing machine model; The server obtains the best matching test model by comparing the preprocessed luminous characteristic data with the entries in the model knowledge base.

6. The flexible transparent display screen material detection process method according to claim 1, characterized in that: The step S105 includes: The server inputs the preprocessed luminous characteristic data into the bending tester model. The bending tester model processes the input data to simulate the performance of the flexible transparent display screen material under bending conditions. The processing results obtained include brightness change and color accuracy change data after bending. The server inputs the preprocessed luminous characteristic data into the distortion tester model. The distortion tester model processes the input data to simulate the performance of the flexible transparent display screen material under distortion conditions, and obtains the brightness change and color shift data after distortion as the processing result; The server inputs the preprocessed luminous characteristic data into the electronic tensile testing machine model. The electronic tensile testing machine model processes the input data to simulate the performance of the flexible transparent display screen material under the tensile force. The obtained processing results include the material performance data under the tensile test. The server integrates the processing results of the bending tester model, the twisting tester model and the electronic tensile testing machine model. The server obtains the accuracy test results of the flexible transparent display screen material by comparing the performance of the simulated test flexible transparent display screen material under twisting conditions with the actual test flexible transparent display screen material under twisting conditions, the simulated test flexible transparent display screen material under bending conditions with the actual test flexible transparent display screen material under bending conditions, and the simulated test flexible transparent display screen material under tension with the actual performance of the flexible transparent display screen material under tension.

7. The flexible transparent display screen material detection process method according to claim 6, characterized in that: Also includes: The accuracy test results of the flexible transparent display screen material include brightness change data after bending, color accuracy change data after bending, brightness change data after twisting, color shift data after twisting, and material performance data under tensile test.

8. The flexible transparent display screen material detection process method according to claim 7, characterized in that: Also includes: Use ant colony algorithm to optimize the accuracy detection results of flexible transparent display screen materials; Obtaining initial data: Obtaining the accuracy test results of the flexible transparent display screen material from the server, the accuracy test results of the flexible transparent display screen material including brightness change data after bending, color accuracy change data after bending, brightness change data after distortion, color shift data after distortion, and material performance data under tensile test; Data preprocessing: standardizing the acquired accuracy test results to obtain the accuracy test results of the preprocessed flexible transparent display screen material; Construct an optimization problem model: transform the optimization problem of the accuracy test results of the pre-processed flexible transparent display screen material into a combinatorial optimization problem that can be solved by the ant colony algorithm, and define the objective function as the comprehensive optimization of the performance indicators under bending, twisting and tensile tests; Initialize ant colony algorithm parameters: receive and set ant colony size, pheromone initial value, pheromone volatilization factor, pheromone enhancement factor, and maximum number of iterations; Constructing solution space: Constructing solution space based on the test data of flexible transparent display screen materials. The solution space represents a set of optimized performance parameter combinations for each solution. Ant colony search process: ants select paths based on pheromone concentration. Each ant traverses the solution space, calculates the quality of each solution according to the objective function, and releases pheromones. Based on the quality of the solution searched by the ant, the pheromone concentration on the path is updated. The pheromone on the path corresponding to the high-quality solution increases, and the pheromone on the path corresponding to the low-quality solution decreases. Iterative optimization: Repeat the ant colony search process until the maximum number of iterations is reached or the quality of the solution converges. Extract the optimal solution: find the path with the highest pheromone concentration from the last iteration. The solution corresponding to the path with the highest pheromone concentration is the accuracy test result of the optimized flexible transparent display screen material. Result verification output: verify whether the optimized result meets the expected requirements. If it meets the preset accuracy standard, the accuracy test result of the optimized flexible transparent display screen material is output. If it does not meet the standard, return to initialize the ant colony algorithm parameters to adjust the algorithm parameters and re-optimize.

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