Method, system and device for evaluating performance of new polymer material

Abstract

The invention provides a new polymer material performance evaluation method, system and device, and the method comprises the steps: collecting multi-aspect performance detection data of a to-be-evaluated material, and integrating the data to generate a material performance detection table; inputting the material performance detection table into the material type prediction model to obtain a plurality of application field prediction results corresponding to the to-be-evaluated material; according to the application field prediction result, determining emphasized evaluation performance corresponding to the to-be-evaluated material and target performance data corresponding to the emphasized evaluation performance, and inputting the target performance data into the material evaluation model to obtain a prominent performance evaluation result of the to-be-evaluated material; and performing conventional performance evaluation on the to-be-evaluated material based on the prominent performance evaluation result to obtain a comprehensive evaluation result. The intelligent performance evaluation of the new polymer material is realized, the prediction result of the application field of the new polymer material is completed in the performance evaluation process, the targeted evaluation of different application fields is carried out, and the performance evaluation accuracy is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method, system and device for evaluating the performance of new polymer materials. Background Art

[0002] Polymer materials are materials based on polymer compounds, including plastics, rubber, fiber, film, adhesive and coating, etc. Among them, plastics, synthetic fibers and synthetic rubber, which are called the three major modern polymer synthetic materials, have become important materials indispensable to national economic construction and people's daily life. Polymer materials have been rapidly developed because they generally have many advantages that cannot be replaced by metals and inorganic materials. However, due to the molecular combination caused by the manufacturing process and the different material ratios, the material properties will change. Therefore, after a new polymer material is manufactured, it is necessary to perform performance testing on the material and perform performance evaluation based on the test results. The existing material performance evaluation mainly relies on manual comparison of material performance test data one by one according to preset performance evaluation standards to obtain the evaluation results of each material performance, and then comprehensively grading the material according to all performance evaluation results, and finally determining the applicable field and material grade of the polymer material, which makes the material performance evaluation process cycle longer and the performance evaluation efficiency lower. Moreover, due to the large number of material performance test items, it is easy to have data information not intercommunication between various performance test modules or data omission in performance evaluation, resulting in inaccurate material performance evaluation results. Therefore, the present invention proposes a new polymer material performance evaluation method, system and device. Summary of the invention

[0003] The present invention provides a new polymer material performance evaluation method, system and device to solve the above problems.

[0004] The present invention provides a method for evaluating the performance of a new polymer material, comprising:

[0005] Step 1: Collect various performance test data of the material to be evaluated and integrate them to generate a material performance test table;

[0006] Step 2: Input the material performance test table into the material type prediction model to obtain prediction results for multiple application fields corresponding to the material to be evaluated;

[0007] Step 3: According to the prediction results of the application field, determine the performance to be evaluated and its corresponding target performance data of the material to be evaluated, input the target performance data into the material evaluation model, and obtain the outstanding performance evaluation results of the material to be evaluated;

[0008] Step 4: Based on the outstanding performance evaluation results, conduct a routine performance evaluation on the material to be evaluated, and obtain a comprehensive evaluation result based on the routine performance evaluation results.

[0009] Preferably, in a new polymer material performance evaluation method, step 1 comprises:

[0010] Collect test data based on the preset performance test items corresponding to the materials to be evaluated to obtain multi-faceted performance test data;

[0011] Based on the preset performance test item names and the test indicators corresponding to each item, a blank material performance test table is generated to identify the data types of various performance test data;

[0012] According to the recognition results, the corresponding multi-faceted material performance data are filled into the blank cells corresponding to the blank material performance test table.

[0013] Preferably, in a new polymer material performance evaluation method, step 2 comprises:

[0014] Obtain known performance test data of polymer materials with different compositions in known application fields;

[0015] Extract performance data features from known performance test data to obtain outstanding performance features and conventional performance features corresponding to polymer materials in different application fields;

[0016] Based on the prominent performance characteristics and the conventional performance characteristics, a feature data group is generated, and based on the known applicable scope corresponding to each feature data group and its value level within the known applicable scope, an application label is generated and added to the feature data group to obtain a labeled data group;

[0017] Based on the labeled data group, a training set is generated, and the training set is used to train a first preset deep learning model to obtain a material type prediction model.

[0018] Preferably, in a new polymer material performance evaluation method, before executing step 3, it also includes:

[0019] Based on the value level, the known performance test data of a large amount of polymer materials in various application fields are clustered to obtain data clusters corresponding to the same polymer materials in multiple application fields;

[0020] Classify the data in the data cluster by value level to obtain multiple sub-data clusters, compare multiple group data clusters corresponding to the same data cluster, and extract the characteristic differences of outstanding performance of the same polymer material in the same application field based on the comparison results;

[0021] Based on the feature differences, differential feature data clusters are generated, and based on the differential feature data clusters corresponding to different fields of the same polymer material, training data sub-datasets are generated;

[0022] All training data sub-data sets are obtained to establish a training data set, and a second preset deep learning model is trained through the training data set to obtain a material evaluation model.

[0023] Preferably, in a new polymer material performance evaluation method, step 3 comprises:

[0024] Obtain prediction results for multiple application fields of the material to be evaluated, and determine the outstanding performance characteristics corresponding to different predicted application fields;

[0025] Based on the outstanding performance characteristics, the prediction results of the application field corresponding to the focused evaluation performance are obtained;

[0026] Based on the focus on performance evaluation, data screening is performed on multiple performance test data to obtain target performance data;

[0027] The application field is sent to the material evaluation model, and the material evaluation model switches the evaluation field based on the application field. After the switching is completed, the target performance data corresponding to the switched application field is synchronously obtained, and based on the target performance data, the outstanding performance evaluation result of the material to be evaluated in the switched application field is obtained;

[0028] Repeat the above steps until the outstanding performance evaluation results corresponding to all application field prediction results corresponding to the material to be evaluated are obtained, thereby completing the work of the material evaluation model.

[0029] Preferably, in a new polymer material performance evaluation method, step 4 comprises:

[0030] Obtain non-target performance data for each application field of the material to be evaluated;

[0031] Obtain corresponding known performance test data of different materials to be evaluated in different application fields, and determine the performance thresholds of various conventional performances corresponding to similar polymer materials of different value levels based on the non-target performance data corresponding to similar polymer materials of different value levels in the known performance test data;

[0032] Based on the outstanding performance evaluation results, determine the evaluation value level of the material to be evaluated corresponding to the current application field;

[0033] Compare the multiple conventional performance test results included in the non-target performance data with the performance thresholds of the conventional performance corresponding to the evaluation value level, and determine whether the conventional performance of the material to be evaluated meets the evaluation value level standard;

[0034] When all conventional properties of the non-target material to be evaluated meet the evaluation value grade standard, the material to be evaluated is determined to be suitable for the use requirements of the current application field, and a comprehensive evaluation result is generated based on the current application field and the evaluation value grade;

[0035] Otherwise, the sub-assessment value level of the material to be evaluated will be used as the new assessment value level to compare the performance threshold of the conventional performance. If the assessment value level is the lowest assessment value level, and the conventional performance of the material to be evaluated still does not meet the assessment value level standard, then it is determined that the material to be evaluated is not suitable for the use requirements of the current application field.

[0036] Preferably, in a new polymer material performance evaluation method, it also includes:

[0037] Generate an evaluation display table based on the material performance test table and the predicted results of the application field of the material to be evaluated;

[0038] Fill the evaluation display table according to the value level evaluation results of each performance corresponding to each application field, and simultaneously obtain all the comprehensive evaluation results corresponding to the materials to be evaluated to generate text evaluation results;

[0039] A material evaluation report is generated based on the filled evaluation display table and text evaluation results and sent to the inspection management display terminal for display.

[0040] The present invention provides a new polymer material performance evaluation system, comprising:

[0041] Data collection and integration module, used to collect various performance test data of the materials to be evaluated and integrate them to generate material performance test tables;

[0042] The application scope assessment module is used to input the material performance test table into the material type prediction model to obtain the prediction results of multiple application fields corresponding to the material to be evaluated;

[0043] An intelligent performance evaluation module is used to determine the performance to be evaluated and its corresponding target performance data corresponding to the material to be evaluated according to the prediction results of the application field, and input the target performance data into the material evaluation model to obtain the outstanding performance evaluation results of the material to be evaluated;

[0044] The material comprehensive evaluation module is used to conduct routine performance evaluation on the material to be evaluated based on the outstanding performance evaluation results, and obtain comprehensive evaluation results based on the routine performance evaluation results.

[0045] Preferably, in a new polymer material performance evaluation system, it also includes:

[0046] A result processing and display module is used to generate an evaluation display table based on the material performance test table and the application field prediction results of the material to be evaluated;

[0047] Fill the evaluation display table according to the value level evaluation results of each performance corresponding to each application field, and simultaneously obtain all the comprehensive evaluation results corresponding to the materials to be evaluated to generate text evaluation results;

[0048] Generate a material evaluation report based on the filled evaluation display table and text evaluation results and send it to the inspection management display terminal for display

[0049] The present invention provides a new polymer material performance evaluation device, which is used to implement any one of the new polymer material performance evaluation methods described above.

[0050] Compared with the prior art, the present invention has at least the following beneficial effects:

[0051] The present invention collects various performance test data of the material to be evaluated and integrates them to generate a material performance test table, thereby realizing unified management of the various test data of the material to be evaluated and generating a material performance test table, which is conducive to timely discovery of missing data and synchronous evaluation of multiple properties of new polymer materials; then the material performance test table is input into a material type prediction model to obtain prediction results of multiple application fields corresponding to the material to be evaluated, thereby realizing automatic prediction of multiple possible application fields in the process of performance evaluation of new polymer materials; then, according to the application field prediction results, the focus evaluation performance corresponding to the material to be evaluated and its corresponding target performance data are determined, and the target performance data are input into the material evaluation model to obtain the material to be evaluated. According to the outstanding performance evaluation results, the outstanding performance of new polymer materials is targetedly evaluated according to the application field, which can determine the usable range of materials to the maximum extent, which is conducive to improving the usable range of materials and expanding the business supply range of enterprises. Finally, based on the outstanding performance evaluation results, conventional performance evaluation is performed on the materials to be evaluated, and targeted evaluation of the conventional performance of the materials to be evaluated is achieved, ensuring that the outstanding performance and conventional performance of the materials to be evaluated meet the same value level of the same application field at the same time, providing guarantee for the excellent use effect of the materials to be evaluated in the corresponding application fields, and obtaining comprehensive evaluation results according to the conventional performance evaluation results, realizing comprehensive evaluation of the various performances of the materials to be evaluated, and improving the accuracy of the materials to be evaluated. The present invention realizes the intelligent evaluation of the performance of new polymer materials through the material type prediction model and the material evaluation model, effectively improving the efficiency of material evaluation, realizing the prediction results of the application field of new polymer materials in the process of performance evaluation of new polymer materials, and conducting targeted evaluation of different application fields of polymer materials according to the prediction of the application field, effectively improving the accuracy of performance evaluation of new polymer materials.

[0052] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0053] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0055] Figure 1 A flow chart of a new polymer material performance evaluation method of the present invention;

[0056] Figure 2 This is a flow chart of step 1 of a new polymer material performance evaluation method of the present invention;

[0057] Figure 3 This is a structural diagram of a new polymer material performance evaluation system of the present invention. DETAILED DESCRIPTION

[0058] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0059] Embodiment 1:

[0060] The present invention provides a method for evaluating the performance of a new polymer material. Figure 1 As shown, including:

[0061] Step 1: Collect various performance test data of the material to be evaluated and integrate them to generate a material performance test table;

[0062] Step 2: Input the material performance test table into the material type prediction model to obtain prediction results for multiple application fields corresponding to the material to be evaluated;

[0063] Step 3: According to the prediction results of the application field, determine the performance to be evaluated and its corresponding target performance data of the material to be evaluated, input the target performance data into the material evaluation model, and obtain the outstanding performance evaluation results of the material to be evaluated;

[0064] Step 4: Based on the outstanding performance evaluation results, conduct a routine performance evaluation on the material to be evaluated, and obtain a comprehensive evaluation result based on the routine performance evaluation results.

[0065] In this embodiment, the material performance test table refers to a table containing all test items of the material to be evaluated.

[0066] In this embodiment, focusing on the evaluation performance means that the material to be evaluated highlights the detection performance.

[0067] In this embodiment, the target performance data refers to performance detection data corresponding to the performance evaluation.

[0068] In this embodiment, conventional performance refers to other performances other than the performances focused on evaluation corresponding to the current application field of the material to be evaluated.

[0069] The beneficial effects of the above technical solution are as follows: the present invention collects various performance test data of the material to be evaluated and integrates them to generate a material performance test table, thereby realizing unified management of various test data of the material to be evaluated and generating a material performance test table, which is conducive to timely discovery of missing data and synchronous evaluation of multiple properties of new polymer materials; then the material performance test table is input into the material type prediction model to obtain prediction results of multiple application fields corresponding to the material to be evaluated, thereby realizing automatic prediction of multiple possible application fields in the performance evaluation process of new polymer materials, and then according to the application field prediction results, the focus of evaluation performance corresponding to the material to be evaluated and its corresponding target performance data are determined, and the target performance data are input into the material evaluation model to obtain Obtain the outstanding performance evaluation results of the material to be evaluated, and conduct targeted evaluation of the outstanding performance of the new polymer material according to the application field, which can determine the usable range of the material to the maximum extent, which is conducive to improving the usable range of the material and expanding the business supply range of the enterprise. Finally, based on the outstanding performance evaluation results, conduct conventional performance evaluation on the material to be evaluated, realize targeted evaluation of the conventional performance of the material to be evaluated, ensure that the outstanding performance and conventional performance of the material to be evaluated meet the same value level of the same application field at the same time, and provide guarantee for the excellent use effect of the material to be evaluated in the corresponding application field. According to the conventional performance evaluation results, obtain the comprehensive evaluation results, realize the comprehensive evaluation of the various performances of the material to be evaluated, and improve the accuracy of the material to be evaluated. The present invention realizes the intelligent evaluation of the performance of new polymer materials through the material type prediction model and the material evaluation model, effectively improves the efficiency of material evaluation, realizes the prediction results of the application field of new polymer materials in the process of performance evaluation of new polymer materials, and according to the prediction of the application field, conducts targeted evaluation of different application fields of polymer materials, effectively improves the accuracy of performance evaluation of new polymer materials.

[0070] Embodiment 2:

[0071] Based on Example 1, step 1, such as Figure 2 As shown, including:

[0072] Step 101: Collect test data based on preset performance test items corresponding to the material to be evaluated to obtain multi-faceted performance test data;

[0073] Step 102: Generate a blank material performance test table based on the preset performance test item names and the test indicators corresponding to each item, and identify the data types of various performance test data;

[0074] Step 103: According to the recognition result, the corresponding multi-faceted material performance data is filled into the blank cells corresponding to the blank material performance test table.

[0075] The beneficial effects of the above technical solution are as follows: the present invention first collects test data based on the preset performance test items corresponding to the material to be evaluated to obtain multi-faceted performance test data, and then generates a blank material performance test table based on the preset performance test item names and the test indicators corresponding to each item, identifies the data types of the multi-faceted performance test data, and finally fills the corresponding multi-faceted material performance data into the blank cells corresponding to the blank material performance test table based on the identification results, thereby realizing the unified management of the multi-faceted test data of the material to be evaluated and generating a material performance test table, which is conducive to timely discovery of missing data and synchronous evaluation of multiple properties of new polymer materials.

[0076] Embodiment 3:

[0077] On the basis of Example 1, step 2 comprises:

[0078] Obtain known performance test data of polymer materials with different compositions in known application fields;

[0079] Extract performance data features from known performance test data to obtain outstanding performance features and conventional performance features corresponding to polymer materials in different application fields;

[0080] Based on the prominent performance characteristics and the conventional performance characteristics, a feature data group is generated, and based on the known applicable scope corresponding to each feature data group and its value level within the known applicable scope, an application label is generated and added to the feature data group to obtain a labeled data group;

[0081] Based on the labeled data group, a training set is generated, and the training set is used to train a first preset deep learning model to obtain a material type prediction model.

[0082] In this embodiment, the known performance test data refers to the material performance evaluation results that have determined the application field and the value level in the corresponding field, wherein the value level means that the product value corresponding to the different contents of a certain component substance or several components of the material for the same purpose is different, and the material price will also be different.

[0083] The beneficial effects of the above technical solution are as follows: the present invention obtains known performance test data of polymer materials of various different compositions in known application fields; performs performance data feature extraction on the known performance test data to obtain outstanding performance characteristics and conventional performance characteristics corresponding to polymer materials in different application fields; generates a feature data group based on the outstanding performance characteristics and conventional performance characteristics, and based on the known applicable scope corresponding to each feature data group and its value level within the known applicable scope, generates an application label and adds it to the feature data group to obtain a labeled data group; generates a training set based on the labeled data group, and uses the training set to train a first preset deep learning model to obtain a material type prediction model, thereby providing a basis for intelligent prediction of application fields in the performance evaluation process of new polymer materials.

[0084] Embodiment 4:

[0085] Based on Example 1, before executing step 3, the method further includes:

[0086] Based on the value level, the known performance test data of a large amount of polymer materials in various application fields are clustered to obtain data clusters corresponding to the same polymer materials in multiple application fields;

[0087] Classify the data in the data cluster by value level to obtain multiple sub-data clusters, compare multiple group data clusters corresponding to the same data cluster, and extract the characteristic differences of outstanding performance of the same polymer material in the same application field based on the comparison results;

[0088] Based on the feature differences, differential feature data clusters are generated, and based on the differential feature data clusters corresponding to different fields of the same polymer material, training data sub-datasets are generated;

[0089] All training data sub-data sets are obtained to establish a training data set, and a second preset deep learning model is trained through the training data set to obtain a material evaluation model.

[0090] The beneficial effects of the above technical solution are as follows: the present invention clusters a large amount of known performance test data of polymer materials in various application fields based on value levels to obtain data clusters corresponding to the same polymer materials in multiple application fields; classifies the data in the data clusters by value level to obtain multiple sub-data clusters, compares multiple group data clusters corresponding to the same data cluster, and extracts the characteristic differences of outstanding performances of the same polymer materials in the same application field according to the comparison results; generates differential characteristic data clusters based on the characteristic differences, and generates training data sub-data sets based on the differential characteristic data clusters corresponding to different fields of the same polymer materials; obtains all training data sub-data sets to establish a training data set, trains the second preset deep learning model through the training data set, and obtains a material evaluation model, which provides a basis for the value level evaluation of outstanding performances in each application field in the application evaluation prediction results of the material to be evaluated.

[0091] Embodiment 5:

[0092] On the basis of Example 1, step 3 comprises:

[0093] Obtain prediction results for multiple application fields of the material to be evaluated, and determine the outstanding performance characteristics corresponding to different predicted application fields;

[0094] Based on the outstanding performance characteristics, determine the corresponding focus evaluation performance for each prediction application field;

[0095] Based on the focus on performance evaluation, data screening is performed on multiple performance test data to obtain target performance data;

[0096] Switching the evaluation field based on the predicted application field, and after the switching is completed, synchronously obtaining the target performance data corresponding to the switched application field, and obtaining the outstanding performance evaluation results of the material to be evaluated in the switched application field based on the target performance data;

[0097] Repeat the above steps until the outstanding performance evaluation results corresponding to all application field prediction results corresponding to the material to be evaluated are obtained, thereby completing the work of the material evaluation model.

[0098] The beneficial effects of the above technical solution are as follows: based on the prediction of application fields, the present invention uses a material evaluation model to conduct targeted evaluation of the outstanding material properties of the material to be evaluated, thereby achieving the evaluation of product value while evaluating the performance of the material to be evaluated.

[0099] Embodiment 6:

[0100] Based on Example 4, step 4 includes:

[0101] Obtain non-target performance data for each application field of the material to be evaluated;

[0102] Obtain corresponding known performance test data of different materials to be evaluated in different application fields, and determine the performance thresholds of various conventional performances corresponding to similar polymer materials of different value levels based on the non-target performance data corresponding to similar polymer materials of different value levels in the known performance test data;

[0103] Based on the outstanding performance evaluation results, determine the evaluation value level of the material to be evaluated corresponding to the current application field;

[0104] Compare the multiple conventional performance test results included in the non-target performance data with the performance thresholds of the conventional performance corresponding to the evaluation value level, and determine whether the conventional performance of the material to be evaluated meets the evaluation value level standard;

[0105] When all conventional properties of the non-target material to be evaluated meet the evaluation value grade standard, the material to be evaluated is determined to be suitable for the use requirements of the current application field, and a comprehensive evaluation result is generated based on the current application field and the evaluation value grade;

[0106] Otherwise, the sub-assessment value level of the material to be evaluated will be used as the new assessment value level to compare the performance threshold of the conventional performance. If the assessment value level is the lowest assessment value level, and the conventional performance of the material to be evaluated still does not meet the assessment value level standard, then it is determined that the material to be evaluated is not suitable for the use requirements of the current application field.

[0107] In this embodiment, the performance threshold refers to the minimum standard value of each conventional performance corresponding to different outstanding performance value levels.

[0108] In this embodiment, non-target performance data refers to performance detection data corresponding to conventional performance.

[0109] The beneficial effects of the above technical solution are as follows: the present invention conducts routine performance evaluation on the material to be evaluated based on the prediction results of all fields in the outstanding performance evaluation results, realizes targeted evaluation of the routine performance of the material to be evaluated, ensures that the outstanding performance and routine performance of the material to be evaluated meet the same value level in the same application field, and provides guarantee for the material to be evaluated to show excellent use effect in the corresponding application field.

[0110] Embodiment 7:

[0111] On the basis of Example 6, the invention further comprises:

[0112] Generate an evaluation display table based on the material performance test table and the predicted results of the application field of the material to be evaluated;

[0113] Fill the evaluation display table according to the value level evaluation results of each performance corresponding to each application field, and simultaneously obtain all the comprehensive evaluation results corresponding to the materials to be evaluated to generate text evaluation results;

[0114] A material evaluation report is generated based on the filled evaluation display table and text evaluation results and sent to the inspection management display terminal for display.

[0115] The beneficial effects of the above technical solution are as follows: the present invention generates an evaluation display table based on the material performance test table and the application field prediction results of the material to be evaluated, and fills the evaluation display table according to the value level evaluation results of each performance corresponding to each application field, and simultaneously obtains all the comprehensive evaluation results corresponding to the material to be evaluated, and generates text evaluation results. The various display methods of the results of the material to be evaluated are convenient for users to choose to view content according to their own needs; based on the filled evaluation display table and the text evaluation results, a material evaluation report is generated and sent to the detection management display terminal for display, and the final evaluation results are directly displayed on the detection management terminal, which improves the security of the material evaluation results.

[0116] Embodiment 8:

[0117] The present invention provides a new polymer material performance evaluation system, such as Figure 3 As shown, including:

[0118] Data collection and integration module, used to collect various performance test data of the materials to be evaluated and integrate them to generate material performance test tables;

[0119] The application scope assessment module is used to input the material performance test table into the material type prediction model to obtain the prediction results of multiple application fields corresponding to the material to be evaluated;

[0120] An intelligent performance evaluation module is used to determine the performance to be evaluated and its corresponding target performance data corresponding to the material to be evaluated according to the prediction results of the application field, and input the target performance data into the material evaluation model to obtain the outstanding performance evaluation results of the material to be evaluated;

[0121] The material comprehensive evaluation module is used to conduct routine performance evaluation on the material to be evaluated based on the outstanding performance evaluation results, and obtain comprehensive evaluation results based on the routine performance evaluation results.

[0122] The beneficial effects of the above technical solution are as follows: the present invention collects various performance test data of the material to be evaluated and integrates them to generate a material performance test table, thereby realizing unified management of various test data of the material to be evaluated and generating a material performance test table, which is conducive to timely discovery of missing data and synchronous evaluation of multiple properties of new polymer materials; then the material performance test table is input into the material type prediction model to obtain prediction results of multiple application fields corresponding to the material to be evaluated, thereby realizing automatic prediction of multiple possible application fields in the performance evaluation process of new polymer materials, and then according to the application field prediction results, the focus of evaluation performance corresponding to the material to be evaluated and its corresponding target performance data are determined, and the target performance data are input into the material evaluation model to obtain Obtain the outstanding performance evaluation results of the material to be evaluated, and conduct targeted evaluation of the outstanding performance of the new polymer material according to the application field, which can determine the usable range of the material to the maximum extent, which is conducive to improving the usable range of the material and expanding the business supply range of the enterprise. Finally, based on the outstanding performance evaluation results, conduct conventional performance evaluation on the material to be evaluated, realize targeted evaluation of the conventional performance of the material to be evaluated, ensure that the outstanding performance and conventional performance of the material to be evaluated meet the same value level of the same application field at the same time, and provide guarantee for the excellent use effect of the material to be evaluated in the corresponding application field. According to the conventional performance evaluation results, obtain the comprehensive evaluation results, realize the comprehensive evaluation of the various performances of the material to be evaluated, and improve the accuracy of the material to be evaluated. The present invention realizes the intelligent evaluation of the performance of new polymer materials through the material type prediction model and the material evaluation model, effectively improves the efficiency of material evaluation, realizes the prediction results of the application field of new polymer materials in the process of performance evaluation of new polymer materials, and according to the prediction of the application field, conducts targeted evaluation of different application fields of polymer materials, effectively improves the accuracy of performance evaluation of new polymer materials.

[0123] Embodiment 9:

[0124] Based on Example 8, a new polymer material performance evaluation system further includes:

[0125] A result processing and display module is used to generate an evaluation display table based on the material performance test table and the application field prediction results of the material to be evaluated;

[0126] Fill the evaluation display table according to the value level evaluation results of each performance corresponding to each application field, and simultaneously obtain all the comprehensive evaluation results corresponding to the materials to be evaluated to generate text evaluation results;

[0127] A material evaluation report is generated based on the filled evaluation display table and text evaluation results and sent to the inspection management display terminal for display.

[0128] The beneficial effects of the above technical solution are as follows: the present invention generates an evaluation display table based on the material performance test table and the application field prediction results of the material to be evaluated, and fills the evaluation display table according to the value level evaluation results of each performance corresponding to each application field, and simultaneously obtains all the comprehensive evaluation results corresponding to the material to be evaluated, and generates text evaluation results. The various display methods of the results of the material to be evaluated are convenient for users to choose to view content according to their own needs; based on the filled evaluation display table and the text evaluation results, a material evaluation report is generated and sent to the detection management display terminal for display, and the final evaluation results are directly displayed on the detection management terminal, which improves the security of the material evaluation results.

[0129] Embodiment 10:

[0130] The present invention provides a new polymer material performance evaluation device, which is used to implement a new polymer material performance evaluation method described in any one of Examples 1-7.

[0131] The beneficial effects of the above technical solution are as follows: the present invention collects various performance test data of the material to be evaluated and integrates them to generate a material performance test table, thereby realizing unified management of various test data of the material to be evaluated and generating a material performance test table, which is conducive to timely discovery of missing data and synchronous evaluation of multiple properties of new polymer materials; then the material performance test table is input into the material type prediction model to obtain prediction results of multiple application fields corresponding to the material to be evaluated, thereby realizing automatic prediction of multiple possible application fields in the performance evaluation process of new polymer materials, and then according to the application field prediction results, the focus of evaluation performance corresponding to the material to be evaluated and its corresponding target performance data are determined, and the target performance data are input into the material evaluation model to obtain Obtain the outstanding performance evaluation results of the material to be evaluated, and conduct targeted evaluation of the outstanding performance of the new polymer material according to the application field, which can determine the usable range of the material to the maximum extent, which is conducive to improving the usable range of the material and expanding the business supply range of the enterprise. Finally, based on the outstanding performance evaluation results, conduct conventional performance evaluation on the material to be evaluated, realize targeted evaluation of the conventional performance of the material to be evaluated, ensure that the outstanding performance and conventional performance of the material to be evaluated meet the same value level of the same application field at the same time, and provide guarantee for the excellent use effect of the material to be evaluated in the corresponding application field. According to the conventional performance evaluation results, obtain the comprehensive evaluation results, realize the comprehensive evaluation of the various performances of the material to be evaluated, and improve the accuracy of the material to be evaluated. The present invention realizes the intelligent evaluation of the performance of new polymer materials through the material type prediction model and the material evaluation model, effectively improves the efficiency of material evaluation, realizes the prediction results of the application field of new polymer materials in the process of performance evaluation of new polymer materials, and according to the prediction of the application field, conducts targeted evaluation of different application fields of polymer materials, effectively improves the accuracy of performance evaluation of new polymer materials.

[0132] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for evaluating the performance of a new polymer material, characterized in that: include: Step 1: Collect various performance test data of the material to be evaluated and integrate them to generate a material performance test table; Step 2: Input the material performance test table into the material type prediction model to obtain prediction results for multiple application fields corresponding to the material to be evaluated; Step 3: According to the prediction results of the application field, determine the performance to be evaluated and its corresponding target performance data of the material to be evaluated, input the target performance data into the material evaluation model, and obtain the outstanding performance evaluation results of the material to be evaluated; Step 4: Based on the outstanding performance evaluation results, conduct a routine performance evaluation on the material to be evaluated, and obtain a comprehensive evaluation result based on the routine performance evaluation results.

2. A method for evaluating the performance of a new polymer material according to claim 1, characterized in that: Step 1 includes: Collect test data based on the preset performance test items corresponding to the materials to be evaluated to obtain multi-faceted performance test data; Based on the preset performance test item names and the test indicators corresponding to each item, a blank material performance test table is generated to identify the data types of various performance test data; According to the recognition results, the corresponding multi-faceted material performance data are filled into the blank cells corresponding to the blank material performance test table.

3. A new polymer material performance evaluation method according to claim 1, characterized in that: Step 2 includes: Obtain known performance test data of various polymer materials with different compositions in known application fields; Extract performance data features from known performance test data to obtain outstanding performance features and conventional performance features corresponding to polymer materials in different application fields; Based on the prominent performance characteristics and the conventional performance characteristics, a feature data group is generated, and based on the known applicable scope corresponding to each feature data group and its value level within the known applicable scope, an application label is generated and added to the feature data group to obtain a labeled data group; Based on the labeled data group, a training set is generated, and the training set is used to train a first preset deep learning model to obtain a material type prediction model.

4. A method for evaluating the performance of a new polymer material according to claim 1, characterized in that: Before executing step 3, the following steps are also required: Based on the value level, the known performance test data of a large amount of polymer materials in various application fields are clustered to obtain data clusters corresponding to the same polymer materials in multiple application fields; Classify the data in the data cluster by value level to obtain multiple sub-data clusters, compare multiple group data clusters corresponding to the same data cluster, and extract the characteristic differences of outstanding performance of the same polymer material in the same application field based on the comparison results; Based on the feature differences, differential feature data clusters are generated, and based on the differential feature data clusters corresponding to different fields of the same polymer material, training data sub-datasets are generated; All training data sub-data sets are obtained to establish a training data set, and a second preset deep learning model is trained through the training data set to obtain a material evaluation model.

5. A new polymer material performance evaluation method according to claim 4, characterized in that: Step 3 includes: Obtain prediction results for multiple application fields of the material to be evaluated, and determine the outstanding performance characteristics corresponding to different predicted application fields; Based on the outstanding performance characteristics, the prediction results of the application field corresponding to the focused evaluation performance are obtained; Based on the focus on performance evaluation, data screening is performed on multiple performance test data to obtain target performance data; The application field is sent to the material evaluation model, and the material evaluation model switches the evaluation field based on the application field. After the switching is completed, the target performance data corresponding to the switched application field is synchronously obtained, and based on the target performance data, the outstanding performance evaluation result of the material to be evaluated in the switched application field is obtained; Repeat the above steps until the outstanding performance evaluation results corresponding to all application field prediction results corresponding to the material to be evaluated are obtained, thereby completing the work of the material evaluation model.

6. A method for evaluating the performance of a new polymer material according to claim 1, characterized in that: Step 4 includes: Obtain non-target performance data for each application field of the material to be evaluated; Obtain corresponding known performance test data of different materials to be evaluated in different application fields, and determine the performance thresholds of various conventional performances corresponding to similar polymer materials of different value levels based on the non-target performance data corresponding to similar polymer materials of different value levels in the known performance test data; Based on the outstanding performance evaluation results, determine the evaluation value level of the material to be evaluated corresponding to the current application field; Compare the multiple conventional performance test results included in the non-target performance data with the performance thresholds of the conventional performance corresponding to the evaluation value level, and determine whether the conventional performance of the material to be evaluated meets the evaluation value level standard; When all conventional properties of the non-target material to be evaluated meet the evaluation value grade standard, the material to be evaluated is determined to be suitable for the use requirements of the current application field, and a comprehensive evaluation result is generated based on the current application field and the evaluation value grade; Otherwise, the sub-assessment value level of the material to be evaluated will be used as the new assessment value level to compare the performance threshold of the conventional performance. If the assessment value level is the lowest assessment value level, and the conventional performance of the material to be evaluated still does not meet the assessment value level standard, then it is determined that the material to be evaluated is not suitable for the use requirements of the current application field.

7. A method for evaluating the performance of a new polymer material according to claim 6, characterized in that: Also includes: Generate an evaluation display table based on the material performance test table and the predicted results of the application field of the material to be evaluated; Fill the evaluation display table according to the value level evaluation results of each performance corresponding to each application field, and simultaneously obtain all the comprehensive evaluation results corresponding to the materials to be evaluated to generate text evaluation results; A material evaluation report is generated based on the filled evaluation display table and text evaluation results and sent to the inspection management display terminal for display.

8. A new polymer material performance evaluation system, characterized in that: include: Data collection and integration module, used to collect various performance test data of the materials to be evaluated and integrate them to generate material performance test tables; The application scope assessment module is used to input the material performance test table into the material type prediction model to obtain the prediction results of multiple application fields corresponding to the material to be evaluated; An intelligent performance evaluation module is used to determine the performance to be evaluated and its corresponding target performance data corresponding to the material to be evaluated according to the prediction results of the application field, and input the target performance data into the material evaluation model to obtain the outstanding performance evaluation results of the material to be evaluated; The material comprehensive evaluation module is used to conduct routine performance evaluation on the material to be evaluated based on the outstanding performance evaluation results, and obtain comprehensive evaluation results based on the routine performance evaluation results.

9. A new polymer material performance evaluation system according to claim 8, characterized in that: Also includes: A result processing and display module is used to generate an evaluation display table based on the material performance test table and the application field prediction results of the material to be evaluated; Fill the evaluation display table according to the value level evaluation results of each performance corresponding to each application field, and simultaneously obtain all the comprehensive evaluation results corresponding to the materials to be evaluated to generate text evaluation results; A material evaluation report is generated based on the filled evaluation display table and text evaluation results and sent to the inspection management display terminal for display.

10. A device for evaluating the performance of new polymer materials, characterized in that: Used to implement a new polymer material performance evaluation method as described in any one of claims 1-7.

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