Light-emitting display material detection method

Abstract

The invention provides a light-emitting display material detection method, and relates to the technical field of material detection, and the method comprises the following steps: obtaining a light-emitting display material and a light-emitting display material detection demand, and determining a current detection strategy of the light-emitting display material; detecting the light-emitting display material according to the current detection strategy, obtaining current material detection data of the light-emitting display material, and performing data preprocessing; constructing and training a light-emitting display material detection model according to the historical material detection data, acquiring material detection feature data according to the current material detection data subjected to data preprocessing, inputting the material detection feature data into the trained light-emitting display material detection model for feature fusion analysis, and determining a current detection result of the light-emitting display material; evaluating the current detection result of the light-emitting display material according to a preset detection evaluation index, and determining a performance score of the light-emitting display material; and high-efficiency and high-quality detection of the light-emitting display material is effectively realized.

Description

Technical Field

[0001] The present invention relates to the technical field of material detection, and particularly to a method for detecting light-emitting display materials. Background Art

[0002] With the wide application of light-emitting display materials, the demand for detecting light-emitting display materials is also increasing continuously; however, there are many types of light-emitting display materials, and the detection contents of different types of light-emitting display materials are different. In addition, there are many detection items for light-emitting display materials, involving multiple aspects such as brightness, chromaticity, display efficiency, and stability. The detection efficiency and detection quality of existing detection technologies are insufficient.

[0003] Therefore, the present invention provides a method for detecting light-emitting display materials. Summary of the Invention

[0004] The present invention provides a method for detecting light-emitting display materials, which includes obtaining a light-emitting display material and the detection requirements of the light-emitting display material, and determining the current detection strategy of the light-emitting display material; detecting the light-emitting display material according to the current detection strategy, obtaining the current material detection data of the light-emitting display material and performing data preprocessing; constructing and training a light-emitting display material detection model according to historical material detection data, obtaining material detection feature data according to the current material detection data completed by data preprocessing, inputting the obtained material detection feature data into the trained light-emitting display material detection model for feature fusion analysis, and determining the current detection result of the light-emitting display material; evaluating the current detection result of the light-emitting display material according to a preset detection evaluation index, and determining the performance score of the light-emitting display material; effectively realizing the high-efficiency and high-quality detection of light-emitting display materials.

[0005] The present invention provides a method for detecting light-emitting display materials, including: Step 1: Obtain a light-emitting display material and the detection requirements of the light-emitting display material, and determine the current detection strategy of the light-emitting display material; Step 2: Detect the light-emitting display material according to the current detection strategy, obtain the current material detection data of the light-emitting display material and perform data preprocessing; Step 3: Construct and train a light-emitting display material detection model according to historical material detection data, obtain material detection feature data according to the current material detection data completed by data preprocessing, input the obtained material detection feature data into the trained light-emitting display material detection model for feature fusion analysis, and determine the current detection result of the light-emitting display material; Step 4: Evaluate the current detection result of the light-emitting display material according to a preset detection evaluation index, and determine the performance score of the light-emitting display material.

[0006] A method for detecting a light-emitting display material provided by the present invention, which obtains the light-emitting display material and the detection requirements of the light-emitting display material, and determines the current detection strategy of the light-emitting display material, including: Obtain the light-emitting display material to be detected currently, and obtain the detection requirements of the light-emitting display material according to the material type of the light-emitting display material. Among them, the detection requirements of the light-emitting display material include: structure detection requirements, brightness detection requirements, chromaticity detection requirements, luminous efficiency detection requirements, luminous stability detection requirements, and luminous heat dissipation detection requirements; Determine the current detection strategy of the light-emitting display material according to the detection requirements of the light-emitting display material.

[0007] A method for detecting a light-emitting display material provided by the present invention, which determines the current detection strategy of the light-emitting display material according to the detection requirements of the light-emitting display material, including: Obtain historical material detection data, and obtain the demand detection strategy corresponding to the detection requirements of the light-emitting display material according to the historical material detection data. Among them, the demand detection strategy includes: structure detection strategy, brightness detection strategy, chromaticity detection strategy, luminous efficiency detection strategy, luminous stability detection strategy, and luminous heat dissipation detection strategy; Select the demand detection strategy according to the actual light-emitting display material detection equipment and set the strategy execution order of the demand detection strategy to determine the current detection strategy of the light-emitting display material.

[0008] A method for detecting a light-emitting display material provided by the present invention, which detects the light-emitting display material according to the current detection strategy, and obtains and preprocesses the current material detection data of the light-emitting display material, including: Detect the light-emitting display material according to the current detection strategy to obtain the current material detection data of the light-emitting display material; Classify and summarize the current detection material data according to the data type of the current material detection data; Respectively perform data preprocessing on the current material detection data after the classification and summarization is completed. Among them, the data preprocessing includes: data cleaning processing, data supplement processing, data standardization processing, and data normalization processing.

[0009] A method for detecting a light-emitting display material provided by the present invention, which constructs and trains a light-emitting display material detection model according to historical material detection data, obtains material detection feature data according to the current material detection data after the data preprocessing is completed, and inputs it into the trained light-emitting display material detection model for feature fusion analysis to determine the current detection result of the light-emitting display material, including: Construct and train a light-emitting display material detection model according to historical material detection data; Obtain the type data volume of the current material test data under each data type, and randomly extract data with the same data volume and the same data type from the historical material test data according to the data type and the type data volume, which is recorded as the evaluation data of the light-emitting display material detection model; Summarize and input the evaluation data into the trained light-emitting display material detection model to obtain the evaluation performance data of the evaluation data; Obtain the historical performance data corresponding to the evaluation data according to the historical material test data. When the error value between the evaluation performance data and the historical performance data does not exceed the preset error threshold, it is determined that the training of the light-emitting display material detection model is completed; When the error value between the evaluation performance data and the historical performance data does not exceed the preset error threshold, summarize the evaluation data sequentially according to the data type and input it into the trained light-emitting display material detection model to obtain the sequentially summarized evaluation performance data; Obtain the increased data type when the error value between the sequentially summarized evaluation performance data and the historical performance data exceeds the preset error threshold, and mark it as the error detection data type; Re-obtain the historical material test data corresponding to the error detection data type and retrain the trained light-emitting display material detection model; Obtain the material test feature data according to the current material test data after data preprocessing; Obtain the feature correlation between the material test feature data according to the historical material test data; Perform preliminary data fusion processing on the material test feature data with a feature correlation not lower than the preset correlation; Obtain the influence weight of the material test feature data on the material performance according to the historical material test data; Obtain the influence weight of the material test feature data corresponding to the preliminary data fusion processing result on the material performance, and record the larger influence weight as the influence weight of the preliminary data fusion processing result on the material performance; Perform weighted fusion processing on the material test feature data according to the influence weight of the material test feature data on the material performance and the influence weight of the preliminary data fusion processing result on the material performance; Input the material test feature data into the trained light-emitting display material detection model for feature fusion analysis to determine the current detection result of the light-emitting display material.

[0010] According to a light-emitting display material detection method provided by the present invention, it further includes: Obtain the detection accuracy of the trained light-emitting display material detection model according to the error value between the evaluation performance data and the historical performance data; Perform credibility weighting on the current detection result according to the detection accuracy.

[0011] A method for detecting a light-emitting display material provided by the present invention evaluates the current detection result of the light-emitting display material according to a preset detection and evaluation index to determine the performance score of the light-emitting display material, including: Determine a preset detection and evaluation index according to the detection requirements of the light-emitting display material; Evaluate the current detection result completed with credible weighting according to the preset detection and evaluation index to determine the performance score of the light-emitting display material.

[0012] A method for detecting a light-emitting display material provided by the present invention further includes: Visually display the current detection result of the light-emitting display material, the performance score, and the detection accuracy of the trained light-emitting display material detection model in a corresponding manner.

[0013] Compared with the prior art, the beneficial effects of the present application are as follows: By obtaining the light-emitting display material and the detection requirements of the light-emitting display material, determine the current detection strategy of the light-emitting display material; detect the light-emitting display material according to the current detection strategy, obtain the current material detection data of the light-emitting display material and perform data preprocessing; construct and train a light-emitting display material detection model according to the historical material detection data, obtain material detection feature data according to the current material detection data completed by data preprocessing, input it into the trained light-emitting display material detection model for feature fusion analysis to determine the current detection result of the light-emitting display material; evaluate the current detection result of the light-emitting display material according to the preset detection and evaluation index to determine the performance score of the light-emitting display material; effectively realize the efficient and high-quality detection of the light-emitting display material.

[0014] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in the written specification and the drawings.

[0015] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. Description of the Drawings

[0016] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention, and do not constitute a limitation to the present invention. In the drawings: Figure 1 It is a schematic flowchart of a method for detecting a light-emitting display material provided by an embodiment of the present invention. Detailed Embodiments

[0017] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not intended to limit the present invention.

[0018] Embodiment 1: The embodiment of the present invention provides a method for detecting a light-emitting display material, as Figure 1 shown, including: Step 1: Obtain a light-emitting display material and the detection requirements of the light-emitting display material, and determine the current detection strategy of the light-emitting display material; Step 2: Detect the light-emitting display material according to the current detection strategy, obtain the current material detection data of the light-emitting display material and perform data preprocessing; Step 3: Construct and train a light-emitting display material detection model based on historical material detection data, obtain material detection feature data according to the current material detection data after data preprocessing is completed, input the trained light-emitting display material detection model for feature fusion analysis, and determine the current detection result of the light-emitting display material; Step 4: Evaluate the current detection result of the light-emitting display material according to the preset detection evaluation index, and determine the performance score of the light-emitting display material.

[0019] In this embodiment, the light-emitting display material refers to a material used to achieve display through light emission.

[0020] In this embodiment, the detection requirements of the light-emitting display material refer to the requirements for detecting the light-emitting display material.

[0021] In this embodiment, the current detection strategy refers to the strategy for detecting the light-emitting display material in the current period.

[0022] In this embodiment, the current material detection data refers to the data obtained by detecting the light-emitting display material according to the current detection strategy.

[0023] In this embodiment, the historical material detection data refers to the data obtained by detecting the light-emitting display material in the historical period.

[0024] In this embodiment, the light-emitting display material detection model refers to a model used to detect the light-emitting display material.

[0025] In this embodiment, the material detection feature data refers to the data determined by performing feature extraction on the current material detection data after data preprocessing is completed.

[0026] In this embodiment, the feature fusion analysis refers to the analysis performed by inputting the material detection feature data into the trained light-emitting display material detection model, that is, preliminary data fusion processing and weighted fusion processing, for determining the performance of the light-emitting display material.

[0027] In this embodiment, the current detection result refers to the result determined by inputting the material detection feature data into the trained light-emitting display material detection model for feature fusion analysis.

[0028] In this embodiment, the preset detection evaluation index refers to the index used to evaluate the current detection result after credible weighting.

[0029] In this embodiment, the performance score refers to the value determined by evaluating the current detection result of the light-emitting display material that has completed credible weighting according to the preset detection evaluation index.

[0030] The working principle and beneficial effects of the above technical solution are as follows: By obtaining the light-emitting display material and the light-emitting display material detection requirements, the current detection strategy of the light-emitting display material is determined; the light-emitting display material is detected according to the current detection strategy, and the current material detection data of the light-emitting display material is obtained and data preprocessing is performed; the light-emitting display material detection model is constructed and trained according to the historical material detection data, and the material detection feature data is obtained according to the current material detection data after data preprocessing and input into the trained light-emitting display material detection model for feature fusion analysis to determine the current detection result of the light-emitting display material; the current detection result of the light-emitting display material is evaluated according to the preset detection evaluation index to determine the performance score of the light-emitting display material; effectively realizing the efficient and high-quality detection of the light-emitting display material.

[0031] Embodiment 2: The embodiment of the present invention provides a method for detecting a light-emitting display material, which obtains the light-emitting display material and the light-emitting display material detection requirements, and determines the current detection strategy of the light-emitting display material, including: Obtain the light-emitting display material to be detected currently, and obtain the light-emitting display material detection requirements of the light-emitting display material according to the material type of the light-emitting display material, where the light-emitting display material detection requirements include: structure detection requirements, brightness detection requirements, chromaticity detection requirements, luminous efficiency detection requirements, luminous stability detection requirements, and luminous heat dissipation detection requirements; According to the light-emitting display material detection requirements, determine the current detection strategy of the light-emitting display material.

[0032] In this embodiment, the light-emitting display material refers to a material used to achieve display through light emission.

[0033] In this embodiment, the material types of the light-emitting display material, for example, organic electroluminescent display material types, liquid crystal display material types, and plasma display material types.

[0034] In this embodiment, the light-emitting display material detection requirements refer to the requirements for detecting the light-emitting display material.

[0035] In this embodiment, the current detection strategy refers to the strategy for detecting the light-emitting display material in the current period.

[0036] The working principle and beneficial effects of the above technical solution are as follows: By obtaining the light-emitting display material and the detection requirements of the light-emitting display material, the current detection strategy of the light-emitting display material is determined, laying a detection strategy foundation for subsequent realization of the detection of the light-emitting display material.

[0037] Embodiment 3: The embodiment of the present invention provides a method for detecting a light-emitting display material. According to the detection requirements of the light-emitting display material, the current detection strategy of the light-emitting display material is determined, including: Obtain historical material detection data, and obtain the demand detection strategy corresponding to the detection requirements of the light-emitting display material according to the historical material detection data. Among them, the demand detection strategy includes: structure detection strategy, brightness detection strategy, chromaticity detection strategy, luminous efficiency detection strategy, luminous stability detection strategy, and luminous heat dissipation detection strategy; Select the demand detection strategy according to the actual light-emitting display material detection equipment and set the strategy execution order of the demand detection strategy to determine the current detection strategy of the light-emitting display material.

[0038] In this embodiment, the historical material detection data refers to the data obtained by detecting the light-emitting display material in the historical period.

[0039] In this embodiment, the demand detection strategy refers to the detection strategy determined according to the historical material detection data.

[0040] In this embodiment, the strategy execution order refers to the execution order of the demand detection strategy.

[0041] The working principle and beneficial effects of the above technical solution are as follows: By determining the current detection strategy of the light-emitting display material according to the detection requirements of the light-emitting display material, it is beneficial to subsequent detection of the light-emitting display material.

[0042] Embodiment 4: The embodiment of the present invention provides a method for detecting a light-emitting display material. Detect the light-emitting display material according to the current detection strategy, and obtain the current material detection data of the light-emitting display material and perform data preprocessing, including: Detect the light-emitting display material according to the current detection strategy to obtain the current material detection data of the light-emitting display material; Classify and summarize the current detection material data according to the data type of the current material detection data; Perform data preprocessing on the current material detection data that has been classified and summarized. Among them, the data preprocessing includes: data cleaning processing, data supplement processing, data standardization processing, and data normalization processing.

[0043] In this embodiment, the current material detection data refers to the data obtained by detecting the light-emitting display material according to the current detection strategy.

[0044] In this embodiment, the current material detection data after classification and summarization is respectively subjected to data preprocessing to facilitate subsequent data utilization.

[0045] The working principle and beneficial effects of the above technical solution are: Detect the light-emitting display material according to the current detection strategy, obtain the current material detection data of the light-emitting display material and perform data preprocessing, laying a data foundation for subsequent detection of the light-emitting display material.

[0046] Embodiment 5: The embodiment of the present invention provides a method for detecting a light-emitting display material, which constructs and trains a light-emitting display material detection model according to historical material detection data, obtains material detection feature data according to the current material detection data after data preprocessing, inputs it into the trained light-emitting display material detection model for feature fusion analysis, and determines the current detection result of the light-emitting display material, including: Construct and train a light-emitting display material detection model according to historical material detection data; Obtain the type data volume of the current material detection data under each data type, and randomly extract data with the same data volume and the same data type from the historical material detection data according to the data type and the type data volume, denoted as the evaluation data of the light-emitting display material detection model; Summarize and input the evaluation data into the trained light-emitting display material detection model to obtain the evaluation performance data of the evaluation data; Obtain the historical performance data corresponding to the evaluation data according to the historical material detection data. When the error value between the evaluation performance data and the historical performance data does not exceed the preset error threshold, it is determined that the training of the light-emitting display material detection model is completed; When the error value between the evaluation performance data and the historical performance data does not exceed the preset error threshold, summarize the evaluation data sequentially according to the data type and input it into the trained light-emitting display material detection model to obtain the sequentially summarized evaluation performance data; Obtain the increased data type when the error value between the sequentially summarized evaluation performance data and the historical performance data exceeds the preset error threshold, and mark it as the error detection data type; Re-obtain the historical material detection data corresponding to the error detection data type and retrain the trained light-emitting display material detection model; Obtain material detection feature data according to the current material detection data after data preprocessing; Obtain the feature correlation between the material detection feature data according to the historical material detection data; Perform preliminary data fusion processing on the material detection feature data with a feature correlation not lower than the preset correlation; Obtain the influence weight of the material detection feature data on the material performance according to the historical material detection data; Obtain the influence weight of the material detection feature data corresponding to the preliminary data fusion processing result on the material performance, and record the larger influence weight as the influence weight of the preliminary data fusion processing result on the material performance; Perform weighted fusion processing on the material detection feature data according to the influence weight of the material detection feature data on the material performance and the influence weight of the preliminary data fusion processing result on the material performance; Input the material detection feature data into the trained light-emitting display material detection model for feature fusion analysis to determine the current detection result of the light-emitting display material.

[0047] In this embodiment, the light-emitting display material detection model refers to a model used to detect light-emitting display materials.

[0048] In this embodiment, the type data volume refers to the data volume of the current material detection data under the data type.

[0049] In this embodiment, the evaluation data refers to the data used to detect and evaluate the light-emitting display material detection model, and is used to evaluate whether the trained light-emitting display material detection model can be used for the current detection of light-emitting display materials.

[0050] In this embodiment, the evaluation performance data refers to the performance data determined by inputting the aggregated evaluation data into the trained light-emitting display material detection model.

[0051] In this embodiment, the historical performance data refers to the actual performance data corresponding to the evaluation data.

[0052] In this embodiment, the preset error threshold refers to the error value used to determine whether the training of the light-emitting display material detection model is completed.

[0053] In this embodiment, the successive aggregation of evaluation performance data refers to the data determined by successively aggregating the evaluation performance data. For example, for evaluation performance data a1, a2, a3, a4, first aggregate a1 and a2 data, record it as the successive aggregation of evaluation performance data for subsequent operations, and then successively aggregate a3 data and a4 data.

[0054] In this embodiment, the error detection data type refers to the increased data type when the error value obtained by successively summarizing the evaluation performance data and the historical performance data exceeds the preset error threshold. The increased data type refers to the data type of the newly added evaluation performance data corresponding to when the error value obtained by successively summarizing the evaluation performance data and the historical performance data exceeds the preset error threshold. For example, if the error values obtained by successively summarizing the evaluation performance data a1, a2, and a3 do not exceed the preset error threshold, and the error value obtained by successively summarizing the evaluation performance data a1, a2, a3, and a4 exceeds the preset error threshold, then the data type corresponding to the evaluation performance data a4 is the error detection data type.

[0055] In this embodiment, the material detection feature data refers to the data determined by extracting features from the current material detection data after data preprocessing is completed.

[0056] In this embodiment, the feature correlation refers to the correlation between the material detection feature data.

[0057] In this embodiment, the preliminary data fusion process refers to the fusion process performed on the material detection feature data with a feature correlation not lower than the preset correlation, which is used to simplify the analysis of the current material detection data.

[0058] In this embodiment, the weighted fusion process refers to the process performed on the material detection feature data according to the influence weight of the material detection feature data on the material performance and the influence weight of the preliminary data fusion process result on the material performance, which is used to further simplify the analysis of the current material detection data.

[0059] In this embodiment, the feature fusion analysis refers to the analysis performed by inputting the material detection feature data into the trained light-emitting display material detection model, that is, the preliminary data fusion process and the weighted fusion process, which is used to determine the performance of the light-emitting display material.

[0060] In this embodiment, the current detection result refers to the result determined by performing feature fusion analysis by inputting the material detection feature data into the trained light-emitting display material detection model.

[0061] The working principle and beneficial effects of the above technical solution are as follows: By constructing and training a light-emitting display material detection model based on historical material detection data, obtaining material detection feature data according to the current material detection data after data preprocessing is completed, and inputting it into the trained light-emitting display material detection model for feature fusion analysis to determine the current detection result of the light-emitting display material, the detection of the light-emitting display material is effectively realized.

[0062] Embodiment 6: The embodiment of the present invention provides a method for detecting a light-emitting display material, further including: Obtain the detection accuracy of the trained light-emitting display material detection model according to the error value between the evaluation performance data and the historical performance data; Perform credibility weighting on the current detection result according to the detection accuracy.

[0063] In this embodiment, the detection accuracy refers to the accuracy determined when the light-emitting display material detection model detects the light-emitting display material.

[0064] In this embodiment, credibility weighting means performing weighting processing on the current detection result through the detection accuracy.

[0065] In this embodiment, performing credibility weighting on the current detection result according to the detection accuracy is used to ensure the credibility of the current detection result.

[0066] The working principle and beneficial effect of the above technical solution are: By determining the detection accuracy of the trained light-emitting display material detection model and performing credibility weighting, it is beneficial to further ensure the detection quality of the light-emitting display material.

[0067] Embodiment 7: The embodiment of the present invention provides a method for detecting a light-emitting display material, which evaluates the current detection result of the light-emitting display material according to a preset detection evaluation index to determine the performance score of the light-emitting display material, including: Determine a preset detection evaluation index according to the detection requirements of the light-emitting display material; Evaluate the current detection result after credibility weighting according to the preset detection evaluation index to determine the performance score of the light-emitting display material.

[0068] In this embodiment, the preset detection evaluation index refers to an index used to evaluate the current detection result after credibility weighting, which is determined according to the detection requirements of the light-emitting display material. For example, the structure detection evaluation index, the brightness detection evaluation index, the chromaticity detection evaluation index, the luminous efficiency detection evaluation index, the luminous stability detection evaluation index, and the luminous heat dissipation detection evaluation index.

[0069] In this embodiment, the performance score refers to a value determined by evaluating the current detection result after credibility weighting according to the preset detection evaluation index, and is used to intuitively represent the performance of the light-emitting display material.

[0070] The working principle and beneficial effect of the above technical solution are: By evaluating the current detection result of the light-emitting display material according to the preset detection evaluation index to determine the performance score of the light-emitting display material, it is beneficial to intuitively determine the detection result of the light-emitting display material and the performance of the light-emitting display material.

[0071] Embodiment 8: The embodiment of the present invention provides a method for detecting a light-emitting display material, further including: Visually display the current detection results, performance scores of the light-emitting display material, and the detection accuracy of the trained light-emitting display material detection model in a corresponding manner.

[0072] The working principle and beneficial effects of the above technical solution are as follows: By visually displaying the current detection results, performance scores of the light-emitting display material, and the detection accuracy of the trained light-emitting display material detection model in a corresponding manner, it is beneficial for users to quickly obtain the detection results of the light-emitting display material.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for detecting a luminescent display material, characterized in that: include: Step 1: Obtain the light-emitting display materials and the light-emitting display material detection requirements, and determine the current detection strategy for the light-emitting display materials; Step 2: Detect the light-emitting display material according to the current detection strategy, obtain the current material detection data of the light-emitting display material and perform data preprocessing; Step 3: Build and train a light-emitting display material detection model based on historical material detection data, obtain material detection feature data based on the current material detection data after data preprocessing, input the data into the trained light-emitting display material detection model for feature fusion analysis, and determine the current detection result of the light-emitting display material; Step 4: Evaluate the current test results of the luminescent display material according to preset test evaluation indicators to determine the performance score of the luminescent display material.

2. A method for detecting luminescent display materials according to claim 1, characterized in that: Obtain the luminescent display materials and the requirements for luminescent display material testing, and determine the current testing strategy for luminescent display materials, including: Obtain the luminescent display material that needs to be tested currently, and obtain the luminescent display material testing requirements of the luminescent display material according to the material type of the luminescent display material, wherein the luminescent display material testing requirements include: structure testing requirements, brightness testing requirements, chromaticity testing requirements, luminous efficiency testing requirements, luminous stability testing requirements, and luminous heat dissipation testing requirements; Determine the current detection strategy for luminescent display materials based on the detection requirements for luminescent display materials.

3. A method for detecting luminescent display materials according to claim 2, characterized in that: According to the requirements of light-emitting display material testing, determine the current testing strategy of light-emitting display materials, including: Obtain historical material testing data, and obtain demand testing strategies corresponding to the luminescent display material testing requirements based on the historical material testing data, wherein the demand testing strategies include: structure testing strategy, brightness testing strategy, chromaticity testing strategy, luminous efficiency testing strategy, luminous stability testing strategy, and luminous heat dissipation testing strategy; According to the actual light-emitting display material detection equipment, the required detection strategy is selected and the strategy execution order of the required detection strategy is set to determine the current detection strategy of the light-emitting display material.

4. A method for detecting luminescent display materials according to claim 1, characterized in that: The light-emitting display material is tested according to the current testing strategy, and the current material testing data of the light-emitting display material is obtained and the data is preprocessed, including: Detect the light-emitting display material according to the current detection strategy to obtain current material detection data of the light-emitting display material; Classify and summarize the current material testing data according to the data type of the current material testing data; The classified and summarized current material testing data are subjected to data preprocessing, wherein the data preprocessing includes: data cleaning processing, data supplementation processing, data standardization processing and data normalization processing.

5. A method for detecting luminescent display materials according to claim 1, characterized in that: A light-emitting display material detection model is constructed and trained based on historical material detection data, and material detection feature data is obtained based on the current material detection data after data preprocessing. The data is input into the trained light-emitting display material detection model for feature fusion analysis to determine the current detection results of the light-emitting display material, including: Build and train a light-emitting display material detection model based on historical material detection data; Obtain the type data volume of the current material test data under each data type, and randomly extract data with the same data volume and the same data type from the historical material test data according to the data type and type data volume, and record them as evaluation data of the luminous display material detection model; Summarizing the evaluation data and inputting it into the trained light-emitting display material detection model to obtain evaluation performance data of the evaluation data; Obtain historical performance data corresponding to the evaluation data based on historical material testing data, and determine that the training of the light-emitting display material testing model is completed when the error value between the evaluation performance data and the historical performance data does not exceed a preset error threshold; When the error value between the evaluation performance data and the historical performance data does not exceed the preset error threshold, the evaluation data is successively summarized according to the data type and input into the trained light-emitting display material detection model to obtain the successively summarized evaluation performance data; When the error value between the successively summarized evaluation performance data and the historical performance data exceeds the preset error threshold, the additional data type is obtained and marked as the error detection data type; Re-acquire historical material detection data corresponding to the error detection data type to re-train the trained light-emitting display material detection model; Acquire material detection characteristic data according to the current material detection data after data preprocessing; Acquire feature correlations between material testing feature data based on historical material testing data; Perform preliminary data fusion processing on material detection feature data whose feature correlation is not less than the preset correlation; Obtain the influence weight of material testing characteristic data on material properties based on historical material testing data; Obtain the influence weight of the material detection characteristic data corresponding to the preliminary data fusion processing result on the material performance, and record the larger influence weight as the influence weight of the preliminary data fusion processing result on the material performance; Perform weighted fusion processing on the material detection feature data according to the weight of the influence of the material detection feature data on the material performance and the weight of the influence of the preliminary data fusion processing result on the material performance; The material detection feature data is input into the trained luminescent display material detection model for feature fusion analysis to determine the current detection result of the luminescent display material.

6. A method for detecting luminescent display materials according to claim 5, characterized in that: Also includes: Obtaining the detection accuracy of the trained light-emitting display material detection model according to the error value between the evaluation performance data and the historical performance data; The current detection result is weighted according to the detection accuracy.

7. A method for detecting luminescent display materials according to claim 1, characterized in that: Evaluate the current test results of the light-emitting display material according to the preset test evaluation indicators to determine the performance score of the light-emitting display material, including: Determine the preset testing and evaluation indicators based on the testing requirements of light-emitting display materials; The current test results completed by credible weighting are evaluated according to preset test evaluation indicators to determine the performance score of the luminescent display material.

8. A method for detecting luminescent display materials according to claim 1, characterized in that: Also includes: The current detection results, performance scores and detection accuracy of the trained luminescent display material detection model of the luminescent display material are displayed visually accordingly.

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