Material test sorting method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a material test sorting method and device, electronic equipment and a storage medium. The method comprises the following steps: determining production associated information of a to-be-tested material; the production associated information comprises a material priority of the to-be-tested material in a product production process, defect information of the to-be-tested material, resource information of test equipment for testing the to-be-tested material, and production planning information of the to-be-tested material; sorting the to-be-tested materials according to the production associated information of the to-be-tested materials; and determining the test sequence of the to-be-tested materials according to the sorting result. Based on material priorities, defect information, resource information of test equipment and multi-dimensional parameters of production planning, original subjective and fuzzy manual judgment is converted into objective and unified decision. The problems of high subjectivity and non-uniform standard caused by personal experience difference in a traditional method are effectively solved, and the risk that key material testing is delayed due to subjective misjudgment is avoided.

Description

Technical Field

[0001] This invention relates to the field of material testing technology, and in particular to a material testing sorting method, a material testing sorting device, an electronic device, and a computer-readable storage medium. Background Technology

[0002] When scheduling testing work, laboratories face limitations in testing equipment, personnel, and other environmental factors. Therefore, they need to prioritize received testing requests before proceeding with testing. Traditional management models lack a quantitative evaluation system and a real-time update mechanism, making them unable to adapt to rapidly changing production and experimental needs. This leads to potential problems such as delayed testing of critical materials and failure to identify high-risk defects in a timely manner.

[0003] Currently, test application priority management relies primarily on manual experience for sorting, which suffers from strong subjectivity and inconsistent standards, making it difficult to objectively assess the importance and defect risk level of test materials. Furthermore, manual sorting cannot effectively integrate dynamic factors such as real-time test equipment occupancy and production schedule progress, leading to uneven utilization of equipment resources and a disconnect between test scheduling and production needs, severely impacting inspection efficiency and production response speed. Summary of the Invention

[0004] In view of the above problems, embodiments of the present invention are proposed to provide a material testing and sorting method, a material testing and sorting apparatus, an electronic device, and a computer-readable storage medium that overcome or at least partially solve the above problems.

[0005] To address the above problems, a first aspect of the present invention discloses a material testing and sorting method, the method comprising:

[0006] Determine the production association information of the material to be tested; the production association information includes: the material priority of the material to be tested in the product production process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested.

[0007] The materials to be tested are sorted according to their production association information;

[0008] Based on the sorting results, the testing order of the materials to be tested is determined.

[0009] Optionally, sorting the materials to be tested according to their production association information includes:

[0010] The priority score of the material to be tested is determined based on its priority in the product manufacturing process.

[0011] Based on the defect information of the material to be tested, determine the defect score of the material to be tested;

[0012] Based on the resource information of the testing equipment used to test the material under test, a test resource load score is determined;

[0013] Based on the production planning information of the material to be tested, determine the urgency score of the material to be tested;

[0014] The test materials are sorted according to their priority score, defect score, test resource load score, and urgency score.

[0015] Optionally, sorting the materials under test based on their priority score, defect score, test resource load score, and urgency score includes:

[0016] The priority score, defect score, and test resource load score of the test material are weighted and calculated to obtain the comprehensive score of the test material; the weight coefficients corresponding to the priority score, defect score, and test resource load score of the test material are all less than 1;

[0017] The materials to be tested are ranked according to their overall score and their urgency score.

[0018] Optionally, determining the priority score of the material to be tested based on its material priority in the product manufacturing process includes:

[0019] The priority score of the material to be tested is determined based on the material priority and the preset material priority scoring rules; the material priority scoring rules are mapping rules that quantify and assign the priority of materials in the product production process.

[0020] Optionally, determining the defect score of the material under test based on its defect information includes:

[0021] Based on the defect information of the material to be tested, determine the defect risk level of the material to be tested;

[0022] The defect score of the material under test is determined based on the defect risk level of the material under test and the preset material defect scoring rules; the material defect scoring rules are mapping rules that quantify the severity of product failure or safety hazards caused by material defects.

[0023] Optionally, determining the test resource load score based on the resource information of the test equipment used to test the material under test includes:

[0024] Based on the resource information and the preset resource load scoring rules, the test resource load score is determined; the resource load scoring rules are mapping rules that quantify the congestion level of the test resources required to execute the test project in the current test environment.

[0025] Optionally, the resource information includes the number of tests executing the same test item on the currently running test device; the resource load scoring rule is to add one to the number of tests executing the same test item on the currently running test device, divide by a constant factor, and obtain the reciprocal of the corresponding quotient.

[0026] Optionally, determining the urgency score of the material under test based on its production planning information includes:

[0027] Based on the production planning information and the preset urgency scoring rules, the urgency score of the material to be tested is determined; the urgency scoring rules are mapping rules that quantify the degree of impact of the material on the production plan due to waiting for the experimental results.

[0028] Optionally, the production planning information of the material to be tested includes the production plan time of the material to be tested; the urgency scoring rule is to determine the urgency score of the material to be tested based on the difference in the number of days between the production plan time of the material to be tested and the current time.

[0029] Optionally, ranking the materials to be tested based on their overall score and their urgency score includes:

[0030] The materials to be tested are sorted according to their urgency scores to obtain a first sorting result;

[0031] If there are test materials with the same urgency score in the first ranking result, then the test materials are ranked according to their comprehensive score to obtain the second ranking result;

[0032] Based on the second sorting result, the test sorting result of the material to be tested is determined.

[0033] Optionally, the method further includes:

[0034] Visual data of the material is generated based on its priority score, defect score, test resource load score, and urgency score.

[0035] According to a second aspect of the present invention, a material testing and sorting apparatus is disclosed, the apparatus comprising:

[0036] The association information determination module is used to determine the production association information of the material to be tested; the production association information includes: the material priority of the material to be tested in the product production process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested.

[0037] The material sorting module is used to sort the materials to be tested according to their production association information.

[0038] The test order determination module is used to determine the test order of the materials to be tested based on the sorting results.

[0039] Optionally, the material sorting module includes:

[0040] The priority scoring determination submodule is used to determine the priority score of the material to be tested based on its material priority in the product manufacturing process.

[0041] The defect scoring determination submodule is used to determine the defect score of the material under test based on the defect information of the material under test;

[0042] The resource load score determination submodule is used to determine the test resource load score based on the resource information of the test equipment used to test the material under test;

[0043] The urgency score determination submodule is used to determine the urgency score of the material to be tested based on the production planning information of the material to be tested.

[0044] The test material sorting submodule is used to sort the test materials according to their priority score, defect score, test resource load score, and urgency score.

[0045] Optionally, the material sorting submodule includes:

[0046] The comprehensive scoring unit is used to perform a weighted calculation on the priority score, the defect score, and the test resource load score of the material under test to obtain a comprehensive score for the material under test; the weight coefficients corresponding to the priority score, the defect score, and the test resource load score of the material under test are all less than 1.

[0047] The material scoring and sorting unit is used to sort the materials to be tested based on their comprehensive score and their urgency score.

[0048] Optionally, the priority scoring and determination submodule includes:

[0049] The material priority scoring unit is used to determine the priority score of the material to be tested based on the material priority and the preset material priority scoring rules; the material priority scoring rules are mapping rules for quantifying and assigning the priority of materials in the product production process.

[0050] Optionally, the defect scoring determination submodule includes:

[0051] The risk level determination unit is used to determine the defect risk level of the material under test based on the defect information of the material under test.

[0052] The material defect scoring unit is used to determine the defect score of the material under test based on the defect risk level of the material under test and the preset material defect scoring rules; the material defect scoring rules are mapping rules that quantify the severity of product failure or safety hazards caused by material defects.

[0053] Optionally, the resource load scoring and determination submodule includes:

[0054] The resource load scoring unit is used to determine the test resource load score based on the resource information and the preset resource load scoring rules; the resource load scoring rules are mapping rules that quantify the congestion level of the test resources required to execute the test project in the current test environment.

[0055] Optionally, the resource information includes the number of tests executing the same test item on the currently running test device; the resource load scoring rule is to add one to the number of tests executing the same test item on the currently running test device, divide by a constant factor, and obtain the reciprocal of the corresponding quotient.

[0056] Optionally, the urgency scoring determination submodule includes:

[0057] The material urgency scoring unit is used to determine the urgency score of the material to be tested based on the production planning information and the preset urgency scoring rules; the urgency scoring rules are mapping rules that quantify the degree of impact of the material on the production plan due to waiting for the experimental results.

[0058] Optionally, the production planning information of the material to be tested includes the production plan time of the material to be tested; the urgency scoring rule is to determine the urgency score of the material to be tested based on the difference in the number of days between the production plan time of the material to be tested and the current time.

[0059] Optionally, the material scoring and sorting unit includes:

[0060] The first sorting result determination subunit is used to sort the materials to be tested according to their urgency scores to obtain the first sorting result.

[0061] The second sorting result determination subunit is used to sort the test materials according to their comprehensive scores if there are test materials with the same urgency score in the first sorting result, and obtain the second sorting result.

[0062] The test sorting result determination subunit is used to determine the test sorting result of the material to be tested based on the second sorting result.

[0063] Optionally, the method further includes:

[0064] The visualization data generation module is used to generate visualization data of the material based on the priority score, defect score, test resource load score, and urgency score of the material under test.

[0065] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0066] This invention provides a material testing and sequencing method, apparatus, electronic device, and storage medium. The method includes: determining the production-related information of the materials to be tested; the production-related information includes: the material priority of the materials to be tested in the product production process, the defect information of the materials to be tested, the resource information of the testing equipment used to test the materials to be tested, and the production planning information of the materials to be tested; sequencing the materials to be tested according to the production-related information; and determining the testing order of the materials to be tested according to the sequencing result. By sequencing the materials to be tested based on multi-dimensional parameters such as material priority, defect information, testing equipment resource information, and production planning, and determining the testing order of the materials to be tested, the method transforms the originally subjective and vague manual judgment into an objective and unified decision. This effectively overcomes the problems of "high subjectivity and inconsistent standards" caused by differences in personal experience in traditional methods, and avoids the risk of delaying the testing of key materials due to subjective misjudgment. Attached Figure Description

[0067] Figure 1 This is a flowchart of the steps of a material testing and sorting method provided in an embodiment of the present invention;

[0068] Figure 2 This is a flowchart of another material testing and sorting method provided in an embodiment of the present invention;

[0069] Figure 3 This is a visual data diagram illustrating a material testing and sorting method provided in an embodiment of the present invention;

[0070] Figure 4 This is a logic block diagram of a material testing and sorting method provided in an embodiment of the present invention;

[0071] Figure 5 This is a structural block diagram of a material testing and sorting device provided in an embodiment of the present invention. Detailed Implementation

[0072] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0073] Currently, test application priority management relies primarily on manual experience for sorting, which suffers from strong subjectivity and inconsistent standards, making it difficult to objectively assess the importance and defect risk level of test materials. Furthermore, manual sorting cannot effectively integrate dynamic factors such as real-time test equipment occupancy and production schedule progress, leading to uneven utilization of equipment resources and a disconnect between test scheduling and production needs, severely impacting inspection efficiency and production response speed.

[0074] One of the core concepts of this invention is to sort the materials to be tested based on material priority, defect information, test equipment resource information, and multi-dimensional parameters of production planning, thereby determining the testing order of the materials and transforming the originally subjective and vague human judgment into an objective and unified decision. This effectively overcomes the problems of "high subjectivity and inconsistent standards" caused by differences in personal experience in traditional methods, and avoids the risk of delaying the testing of key materials due to subjective misjudgment.

[0075] Reference Figure 1 The diagram illustrates a flowchart of a material testing and sorting method provided by an embodiment of the present invention. The method may specifically include the following steps:

[0076] Step 101: Determine the production association information of the material to be tested; the production association information includes: the material priority of the material to be tested in the product production process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested.

[0077] The ranking of test applications often relies on the testers' work experience, which is highly subjective and lacks consistent ranking standards. This may lead to delays in testing critical materials or high-risk defects. At the same time, manual ranking makes it difficult to take into account dynamic factors such as the availability of experimental equipment and production schedules. This can easily result in uneven utilization of testing equipment resources and delays in production schedules. Furthermore, manual ranking results cannot be updated in real time and cannot adapt to rapidly changing production needs, ultimately affecting inspection efficiency and production response speed.

[0078] This embodiment combines material grade, defect category, experimental resources, and production plan information to quantify and calculate the test priority order in real time from multiple dimensions, solving problems such as unclear test application priority, unreasonable resource allocation, and untimely response to production plans.

[0079] Production-related information refers to all data used to establish and track the connections between various components and the final product during the manufacturing, processing, and assembly processes of a product. This includes the material priority of the material under test in the product production process, defect information of the material under test, resource information of the testing equipment used to test the material under test, and production planning information for the material under test.

[0080] The material priority of the material to be tested in the product manufacturing process depends on whether the material is a core component or a general component in the product manufacturing process. Different materials have different degrees of impact on production. For example, the motor is a core component of the equipment. If its test is delayed, it may directly lead to the suspension of the entire machine production. On the other hand, the impact of label materials is relatively small. After the production is completed, the whole machine can be sealed and the corresponding label can be applied.

[0081] Defect information for the material under test refers to the entire set of conditions used to describe, classify, analyze, and address nonconformities in the material under test. This includes defects that lead to product failure or safety hazards, as well as defects that affect appearance details.

[0082] Resource information for testing equipment encompasses the sum of data and attributes used to manage and ensure its effective and reliable completion of testing tasks. This includes the number of test requests for the same testing item currently under inspection. Since the number of tests a testing equipment can perform simultaneously is limited, if multiple test requests for the same item arrive at the same time without proper management, the equipment for that item may operate at full capacity for an extended period, while other equipment remains idle. For example, if 20 test requests are all for "insulation testing," the equipment will be severely overloaded, while equipment for other items will run idle.

[0083] The production planning information for the material under test is all forward-looking arrangements and data of the production plan for the material under test, including the material's most recent production time.

[0084] In this embodiment of the invention, by acquiring relevant information about the material to be tested, four key categories of information related to the material to be tested are determined: the material priority of the material to be tested in the product manufacturing process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested. The material priority of the material to be tested in the product manufacturing process reflects the importance of the material itself in the production process. The defect information of the material to be tested reflects the severity of the material's potential to cause product failure or safety hazards, including the known or potential quality risk level of the material. The resource information of the testing equipment used to test the material to be tested reflects the busyness of currently available testing resources. The production planning information of the material to be tested reflects the urgency of the material's demand in the overall production plan, including the material's most recent planned production time.

[0085] Step 102: Sort the materials to be tested according to their production association information;

[0086] In this embodiment of the invention, the test materials are sorted according to the production association information of the test materials. The core of this method is to transform the multi-dimensional association information into comparable quantitative indicators and to perform comprehensive sorting according to a preset decision logic. Based on the data in the production association information, corresponding quantitative scores are generated respectively, and the results are sorted in descending order to generate the final test priority sequence.

[0087] Step 103: Determine the testing order of the materials to be tested based on the sorting results.

[0088] In this embodiment of the invention, the testing order of the materials to be tested is determined based on the sorting results. The sorting results generate an ordered test task queue, which clearly defines the order in which each material to be tested will be tested. The system uses this queue as the direct basis for allocating test tasks, distributing it to the corresponding experimental departments or directly integrating it into the laboratory information management system. Test personnel or automated testing equipment will strictly follow this sequence to start the testing process sequentially.

[0089] The system also establishes a mechanism for updating and executing sorting results. For example, the system can be set to automatically recalculate and update the test task queue at fixed time intervals (such as hourly) to ensure that newly submitted test requests, completed test tasks, changed equipment status, or updated production plans are reflected in the sorting in real time. When tasks with extremely high urgency occur, the system supports configurable queue-jumping rules, allowing them to be prioritized and automatically adjusting the order of affected tasks in the subsequent sequence.

[0090] Reference Figure 2 The diagram illustrates a flowchart of another material testing and sorting method provided by an embodiment of the present invention. The method may specifically include the following steps:

[0091] Step 201: Determine the production association information of the material to be tested; the production association information includes: the material priority of the material to be tested in the product production process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested.

[0092] In this embodiment of the invention, by acquiring relevant information about the material to be tested, four key categories of information related to the material to be tested are determined: the material priority of the material to be tested in the product manufacturing process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested. The material priority of the material to be tested in the product manufacturing process reflects the importance of the material itself in the production process. The defect information of the material to be tested reflects the severity of the material's potential to cause product failure or safety hazards, including the known or potential quality risk level of the material. The resource information of the testing equipment used to test the material to be tested reflects the busyness of currently available testing resources. The production planning information of the material to be tested reflects the urgency of the material's demand in the overall production plan, including the material's most recent planned production time.

[0093] After determining the production-related information of the material to be tested, proceed to step 202.

[0094] Step 202: Sort the materials to be tested according to their production association information;

[0095] In this embodiment of the invention, the test materials are sorted according to the production association information of the test materials. The core of this method is to transform the multi-dimensional association information into comparable quantitative indicators and to perform comprehensive sorting according to a preset decision logic. Based on the data in the production association information, corresponding quantitative scores are generated respectively, and the results are sorted in descending order to generate the final test priority sequence.

[0096] In some embodiments, step 202 may include the following sub-steps:

[0097] Sub-step S11: Determine the priority score of the material to be tested based on its priority in the product manufacturing process.

[0098] The priority score of the material to be tested reflects the functional criticality of the material itself and its strategic importance in production.

[0099] In this embodiment of the invention, the priority score of the material to be tested is determined based on its priority in the product manufacturing process. Materials are categorized according to predefined material criticality classification rules. These rules are based on two core dimensions: the irreplaceable function of the material in the product and the potential impact of supply anomalies on the production plan. Materials are divided into different priority categories (e.g., critical components, important components, general components, auxiliary materials, etc.). The criteria for classifying materials into different priority categories are the irreplaceable function of the material in the product and the cascading impact of material delays on the production plan.

[0100] The system queries the pre-stored material category priority scoring rules. This mapping table assigns a base score to each material category. The score is positively correlated with the material's priority; the higher the category priority, the higher the base score. For example, critical components are mapped to 5 points, important components to 4 points, general components to 3 points, and auxiliary materials to 2 points. Through this mapping process, the system outputs a quantified priority score for each material to be tested.

[0101] In some embodiments, step S11 may include the following sub-steps:

[0102] Sub-step S111: Determine the priority score of the material to be tested based on the material priority and the preset material priority scoring rules; the material priority scoring rules are mapping rules for quantifying and assigning the priority of materials in the product production process.

[0103] Different materials have varying degrees of impact on production. For example, motors are core components of equipment; if their testing is delayed, it could directly lead to a halt in the production of the entire machine. Labeling materials, on the other hand, have a relatively smaller impact, as the entire machine can be sealed after production and the corresponding labels can be affixed later. The system categorizes the materials for each test application according to existing material classification rules and uses objective scores to quantify the importance of materials based on each material category's priority scoring rules (e.g., 5 points for motors, 3 points for plastic shells). This replaces subjective human judgment, ensuring that tests on critical materials are not postponed due to human negligence, and unifying the criteria for material priority judgment from the source.

[0104] In this embodiment of the invention, a material classification system is established based on the degree of influence of materials on production (e.g., materials are divided into core components, important components, general components, etc.). A score is obtained for each material according to a preset material priority scoring rule, which defines the correspondence between material priority categories and numerical priority scores (e.g., key components are mapped to 5 points, important components to 4 points, and general components to 3 points). By scoring according to material priority and the preset material priority scoring rule, the importance of materials is quantified with objective scores, effectively eliminating the subjectivity and instability of manual judgment and ensuring the fairness of the sorting logic from the source.

[0105] Sub-step S12: Determine the defect score of the material to be tested based on the defect information of the material to be tested;

[0106] The defect score of the material under test clarifies the potential defect risk of the material under test in order to assess the severity of the potential product failure or safety hazard.

[0107] In this embodiment of the invention, the defect risk level of the material under test is obtained based on the defect information of the material under test (for example, it is divided into levels A, B, C, D according to the severity of the consequences, where Class A defects may cause product function failure or safety hazards, and Class D defects may only affect the appearance).

[0108] Based on predefined defect risk level-defect scoring rules, qualitative risk levels are converted into quantitative defect scores. This mapping rule follows the principle of "the higher the risk, the higher the score." For example, a Class A defect is assigned 5 points, a Class B defect is assigned 4 points, and so on.

[0109] In some embodiments, step S12 may include the following sub-steps:

[0110] Sub-step S121: Determine the defect risk level of the material to be tested based on the defect information of the material to be tested;

[0111] Sub-step S122: Determine the defect score of the material to be tested based on the defect risk level of the material to be tested and the preset material defect scoring rules; the material defect scoring rules are mapping rules that quantify the severity of product failure or safety hazards caused by material defects.

[0112] The defect categories A through E in the quality specifications reflect the risk level of materials: Category A defects lead to product failure or safety hazards, while Category E defects only affect appearance details. Category A represents the highest risk level, with risk decreasing sequentially. If judged solely by humans, differences in individual understanding of defect risk could lead to lower-risk tests crowding out resources for Category A defect testing. By using a scoring system of 5 to 1 points for each of the A through E categories, defect risk is converted into comparable scores, ensuring that high-risk (Category A) defects receive higher priority and avoiding production safety or quality hazards caused by inconsistent risk assessments.

[0113] Each material is subject to specific inspection standards. Each standard specifies the items to be inspected, the acceptance criteria for each item, and the defect category for any non-compliance with a particular item. For example, the inspection standard for air conditioner panels is the Air Conditioner Panel Inspection Standard, which includes inspection items such as dimensions, color difference, and odor. Each non-compliance item has a corresponding defect category.

[0114] In this embodiment of the invention, the material defect scoring rule is a predefined mapping rule that quantifies the severity of product failure or safety hazards that may be caused by material defects. The core of this rule lies in establishing a mapping relationship from qualitative risk levels to quantitative scores.

[0115] Based on the material-specific testing items, the defect risk level corresponding to the material to be tested is determined (e.g., Level A: fatal defect; Level B: serious defect, etc.). The material defect scoring rules are invoked, and by querying the preset "risk level - score" mapping relationship, the determined defect risk level is converted into the corresponding defect score value (e.g., the mapping rule specifies: Level A risk corresponds to 5 points, Level B risk corresponds to 4 points). Converting defect risks into uniform and comparable defect scores ensures that defect inspection items that may cause serious consequences receive higher priority, thereby prioritizing the allocation of testing resources and avoiding potential production safety or quality hazards caused by inconsistent risk assessments.

[0116] Sub-step S13: Determine the test resource load score based on the resource information of the test equipment used to test the material to be tested;

[0117] The test resource load score reflects the current workload and busy status of various types of test equipment, in order to assess test resource bottlenecks.

[0118] In this embodiment of the invention, the resource information of the testing equipment used to test the material to be tested is obtained in real time from the laboratory information management system. The core of this information is the total number of test tasks that are being performed on all the normally operating testing equipment and that are the same as the test items required for the material to be tested.

[0119] The test resource load score is calculated based on the total number of tasks. This load score is inversely proportional to the total number of tasks. This method allows the system to dynamically and quantitatively reflect the workload of a specific test resource.

[0120] In some embodiments, step S13 may include the following sub-steps:

[0121] Sub-step S131: Determine the test resource load score based on the resource information and the preset resource load scoring rules; the resource load scoring rules are mapping rules that quantify the congestion level of test resources required to execute test items in the current test environment.

[0122] The resource information includes the number of tests executing the same test item on the currently running test equipment; the resource load scoring rule is to add one to the number of tests executing the same test item on the currently running test equipment, divide by a constant factor, and obtain the reciprocal of the corresponding quotient.

[0123] Because the number of experiments that testing equipment can perform simultaneously is limited, if multiple test requests for the same project arrive at the same time, without proper management, the equipment for that project may run at full capacity for an extended period, while other equipment remains idle. For example, if 20 test requests are all for "insulation testing," the equipment will be severely overloaded, while equipment for other projects will run idle. Therefore, based on the test items required by the test requests, the number of test requests for the same test items currently being tested is queried, and the experimental resource score is calculated based on this number of test requests.

[0124] The calculation rule is as follows: add 1 to the number of experimental applications for the same test item currently under testing, divide by 5, and then take the reciprocal. For example, if the number is 19, (19+1)÷5=4, and taking the reciprocal gives an experimental resource score of 0.25. This forces the priority of highly congested projects to be reduced, guides resources to be tilted towards less congested projects, balances equipment load, and improves overall resource utilization.

[0125] In this embodiment of the invention, a test resource load score is determined based on resource information and a preset resource load scoring rule. The core of the resource information is the number of test tasks executing the same test project on the currently running test device; the resource load scoring rule is a mapping rule that quantifies and assigns values ​​to the congestion level of resources required to execute a specific test project in the current test environment.

[0126] The rule is specifically constructed as a functional relationship: add one to the number of test tasks obtained (the purpose is to avoid invalid calculations with a denominator of zero when the number of tasks is zero); divide the sum by a constant factor (e.g., 5, used to control the distribution range of the score); calculate the reciprocal of the quotient, and use this reciprocal as the final test resource load score. The core mathematical relationship of this rule can be expressed as: score = 1 / [(number of tasks + 1) / constant factor].

[0127] This rule enables dynamic quantification of resource congestion; the more test tasks there are, the lower the calculated load score. This inverse relationship automatically prioritizes high-load projects in the overall ranking, guiding test tasks to relatively idle resources, balancing the load on test equipment, and improving overall resource utilization.

[0128] Sub-step S14: Determine the urgency score of the material to be tested based on the production planning information of the material to be tested;

[0129] The urgency score of the material under test reflects the urgency of the planned production timeline for the material under test, in order to determine the urgency of production needs.

[0130] In this embodiment of the invention, the production plan of the material is queried, and the earliest planned production time of the batch to which the material to be tested belongs is extracted from the material's production planning information. The core principle is that the more urgent the production time, the higher the urgency score is assigned. Through this process, the urgency of the production plan is transformed into a quantified urgency score. This score serves as the primary basis for prioritizing decisions, ensuring that materials about to go into production receive testing resources first, thereby effectively avoiding production interruptions or schedule delays due to testing delays, and guaranteeing the continuity and responsiveness of production activities.

[0131] In some embodiments, step S14 may include the following sub-steps:

[0132] Sub-step S141: Determine the urgency score of the material to be tested based on the production planning information and the preset urgency scoring rules; the urgency scoring rules are mapping rules that quantify the degree of impact of the material on the production plan due to waiting for the experimental results.

[0133] The production planning information of the material to be tested includes the production plan time of the material to be tested; the urgency scoring rule is to determine the urgency score of the material to be tested based on the difference in the number of days between the production plan time of the material to be tested and the current time.

[0134] Manual sorting is difficult to adjust in real time with the production plan, which may lead to production delays. To avoid the experiment schedule from deviating from the production plan, the system obtains the material information required in the production plan, queries the nearest production time of the experimental materials applied for, and retrieves the latest production plan from the production system each time the urgency score of the materials to be tested is calculated.

[0135] The calculation rule is: 10 minus the number of days between the most recent production time and the current time. For example, if a material needs to be used in production in 3 days, and the experiment is scheduled for a week later, it will directly slow down the production progress. By using the rule of "10 minus the number of days between the most recent production time and the current time", the closer the production time (e.g., a difference of 4 days), the higher the urgency score (6 points). An experiment urgency score greater than 10 is assigned 10, and less than 0 is assigned 0. This strongly binds the experiment priority to the production node, ensuring that materials that are about to be used for production can be inspected first, avoiding the impact on production response speed due to experiment delays.

[0136] In this embodiment of the invention, the urgency scoring rule is a mapping rule that quantifies the potential impact of materials on the production plan due to waiting for experimental results.

[0137] The specific production plan time for the material to be tested is obtained from the production planning information. The mapping logic of the urgency scoring rule is constructed based on the difference in days between the planned production time and the current system time. Its core algorithm is configured such that the smaller the difference in days, the higher the calculated urgency score, thus directly reflecting the urgency of production needs. For example: Urgency Score = Preset Baseline Value - Difference in Days. Reasonable threshold limits are set for the calculation results to ensure the validity of the score.

[0138] By determining the urgency score of the materials to be tested based on production planning information and preset urgency scoring rules, the static production plan time point can be transformed into a dynamic and quantitative urgency indicator. This ensures that the ranking of test tasks is closely linked to the production rhythm, allowing the most urgently needed materials to enter the testing process first, thereby minimizing the risk of delays caused by the testing process to the overall production schedule.

[0139] Sub-step S15: Sort the materials to be tested according to their priority score, defect score, test resource load score, and urgency score.

[0140] In this embodiment of the invention, the priority score, defect score, test resource load score, and urgency score of the test material are determined based on the material priority of the test material in the product manufacturing process, the defect information of the test material, the resource information of the test equipment used to test the test material, and the production planning information of the test material.

[0141] Priority scores, defect scores, and test resource load scores are weighted and integrated to generate a comprehensive importance index. The weight configuration can be dynamically adjusted according to actual management strategies; for example, during critical production quality periods, the weight of defect scores can be appropriately increased.

[0142] Materials under test are prioritized based on their urgency score, ensuring that the most urgent materials on the production line receive the highest priority. For materials with the same urgency score, they are then ranked in descending order of their overall importance. This strategy ensures both the rigidity of the production plan and addresses multiple objectives such as material importance, quality risk control, and resource utilization efficiency. Through multi-dimensional quantitative scoring (material priority, defect severity, resource consumption, and production urgency), combined with dynamic weighted calculations and visualization, the importance and urgency of experiments are clearly defined, avoiding the subjectivity and lag of manual judgment and ensuring that high-priority, high-urgency experiments receive priority access to resources.

[0143] In some embodiments, step S15 may include the following sub-steps:

[0144] Sub-step S151: The priority score, defect score, and test resource load score of the material to be tested are weighted and calculated to obtain the comprehensive score of the material to be tested; the weight coefficients corresponding to the priority score, defect score, and test resource load score of the material to be tested are all less than 1.

[0145] The importance score is calculated by weighting material priority, defect score, and resource score, taking into account multiple dimensions. This makes priority judgment more comprehensive, considering both material importance and defect risk and resource availability, avoiding ranking bias caused by a single standard, and making the results more in line with actual needs. The overall score of the material under test is obtained by weighting the calculated priority score P1, defect score P2, and test resource load score P3.

[0146] In this embodiment, the weights for the priority score, defect score, and test resource load score of the test material are 0.3, 0.4, and 0.3, respectively. This embodiment of the invention does not limit these weights. The comprehensive score of the test material = P1*0.3 + P2*0.4 + P3*0.3.

[0147] If it is necessary to make the comprehensive score of the material fall within a reasonable value range (such as the 0-10 score system same as the original score), it is necessary to meet the condition that the weight coefficients corresponding to the priority score of the material to be tested, the defect score of the material to be tested, and the test resource load score are all less than 1. At this time, the comprehensive score is the weighted average of each score value, and its value will not exceed the extreme value range of the original score. It is a multi-dimensional analysis of the material priority, defect category, and test resources of the comprehensive material to determine the priority order of material testing. If the weight coefficient of a certain score is equal to or greater than 1, it will cause the score of this dimension to completely dominate the comprehensive score, and the influence of other dimensions is small or even non-existent.

[0148] In actual production, the urgency of the material is more important than the material priority, defect, and resources. Therefore, the weight of the material urgency will be greater. If the material urgency, material priority, defect, and resources are weighted together, the influence of the material priority, defect, and resource scores will be too small, which is not convenient to reflect the priority of the material priority, defect, and resources in the experiment. If the weight of the urgency is set low, it is easy to出现 the situation where the priority of an urgent but unimportant experiment is lower than that of an important but non-urgent experiment.

[0149] In the embodiment of the present invention, the priority score, defect score, and test resource load score of the material to be tested are weighted and calculated to obtain the comprehensive score of the material to be tested. The weighted calculation is implemented through the formula:

[0150] Comprehensive score = W1 * priority score + W2 * defect score + W3 * test resource load score, where W1, W2, and W3 are the weight coefficients corresponding to the respective scores, and satisfy the constraint condition of 0 < W1, W2, W3 < 1. The specific values of the weight coefficients are configured based on the strategic objectives of production management, and the embodiment of the present invention does not limit this. For example: in the off-season of production, due to the relatively small production pressure, the weight of the defect score of the experimental material can be reduced, and the weight of the experimental resource score can be increased to improve the utilization rate of experimental resources.

[0151] Sub-step S152, sort the material to be tested according to the comprehensive score of the material to be tested and the urgency score of the material to be tested.

[0152] In the embodiment of the present invention, the materials to be tested are sorted according to the comprehensive score and urgency score of the materials to be tested. The urgency score is used as the primary sorting basis, and all materials to be tested are initially sorted in descending order. This step ensures that the materials with the most urgent production plan time and the highest delay risk obtain the highest priority, and preferentially meet the rigid requirements of the production rhythm.

[0153] For groups of materials with the same urgency score after the first-level sorting, the comprehensive score is used as a secondary sorting criterion, and the materials are sorted within the group in descending order. This step further differentiates the importance, defect risk level, and resource availability of materials under the same urgency level, ensuring that materials with high criticality, high risk, and reasonable resource usage are prioritized for testing. This hierarchical sorting mechanism effectively avoids the limitations of single-dimensional sorting, making the sorting results more aligned with actual needs, thereby improving the rationality of testing resource allocation and overall production efficiency.

[0154] In some embodiments, step S152 may include the following sub-steps:

[0155] The materials to be tested are sorted according to their urgency scores to obtain a first sorting result;

[0156] If there are test materials with the same urgency score in the first ranking result, then the test materials are ranked according to their comprehensive score to obtain the second ranking result;

[0157] Based on the second sorting result, the test sorting result of the material to be tested is determined.

[0158] In this embodiment of the invention, all materials to be tested are sorted in descending order according to their urgency scores to generate a first ranking result, ensuring that the material with the highest production urgency is at the front of the priority queue. If two or more materials to be tested have the same urgency score in the first ranking result, they are sorted in descending order again according to their comprehensive scores to generate a second ranking result. This allows for further differentiation based on the importance of materials, defect risk, and resource load under the same urgency conditions.

[0159] For materials with unique urgency scores, the final test ranking is determined directly by the first ranking result; for materials with the same urgency score, the second ranking result determines the order. This final sequence serves as the authoritative basis for executing test tasks, thereby achieving scientific scheduling that both ensures production progress and optimizes resource allocation on a global scale.

[0160] After sorting the materials to be tested, step 203 is executed.

[0161] Step 203: Determine the testing order of the materials to be tested based on the sorting results.

[0162] In this embodiment of the invention, the testing order of the materials to be tested is determined based on the sorting results. The sorting results generate an ordered test task queue, which clearly defines the order in which each material to be tested will be tested. The system uses this queue as the direct basis for allocating test tasks, distributing it to the corresponding experimental departments or directly integrating it into the laboratory information management system. Test personnel or automated testing equipment will strictly follow this sequence to start the testing process sequentially.

[0163] The system also establishes a mechanism for updating and executing sorting results. For example, the system can be set to automatically recalculate and update the test task queue at fixed time intervals (such as hourly) to ensure that newly submitted test requests, completed test tasks, changed equipment status, or updated production plans are reflected in the sorting in real time. When tasks with extremely high urgency occur, the system supports configurable queue-jumping rules, allowing them to be prioritized and automatically adjusting the order of affected tasks in the subsequent sequence.

[0164] Reference Figure 3 This diagram illustrates a visual data representation of a material testing and sorting method provided by an embodiment of the present invention, based on... Figure 3 The displayed data visualization is a scatter plot with the urgency score on the vertical axis and the overall score on the horizontal axis.

[0165] After determining the priority score, defect score, test resource load score, and urgency score of the material to be tested, proceed to step 204.

[0166] Step 204: Generate visual data of the material based on the priority score, defect score, test resource load score, and urgency score of the material to be tested.

[0167] Generating visualized material data and updating it hourly addresses the pain point of "manual sorting's inability to adapt to dynamic changes in real time." Once manual sorting results are fixed, it's difficult to adjust them promptly if equipment occupancy or production plans suddenly change. A scatter plot using the material's overall score as the X-axis and urgency score as the Y-axis transforms abstract scores into intuitive visual charts, allowing researchers to quickly identify "highly important" and "highly urgent" tests. Hourly repetitive calculations and updates reflect real-time changes in equipment, production, and application quantities, ensuring the sorting results are always updated to reflect the latest situation, improving inspection efficiency and production response flexibility.

[0168] In this embodiment of the invention, visual data of the material under test is generated based on its priority score, defect score, test resource load score, and urgency score. The score data from these four dimensions are integrated into a visualization engine to generate multi-dimensional data charts for decision analysis. A scatter plot with the material's overall score as the X-axis and the urgency score as the Y-axis transforms the abstract scores into intuitive visual charts. A real-time updated data table is generated simultaneously, containing at least the material, urgency score, overall score, and final sorting number. This list is sorted by urgency score in descending order by default, and then by overall score in descending order. A function to manually sort by any score item is also provided to support flexible data pivot analysis.

[0169] This visualization transforms scoring data into intuitive graphs and lists, helping managers quickly identify test priority distribution, discover ranking anomalies (such as highly important materials being ranked lower due to low urgency), and provide interactive decision support for temporary adjustments to the test order, thereby comprehensively improving the controllability and transparency of the test plan.

[0170] Reference Figure 4 This diagram illustrates a logic block diagram of a material testing and sorting method provided by an embodiment of the present invention, based on... Figure 4 The presented logic diagram identifies the production-related information of the materials under test, thereby determining their priority score, defect score, test resource load score, and urgency score. These scores are then weighted to obtain a comprehensive score. Finally, the materials are ranked based on their comprehensive and urgency scores.

[0171] This invention provides a material testing and sequencing method, apparatus, electronic device, and storage medium. The method includes: determining the production-related information of the materials to be tested; the production-related information includes: the material priority of the materials to be tested in the product production process, the defect information of the materials to be tested, the resource information of the testing equipment used to test the materials to be tested, and the production planning information of the materials to be tested; sequencing the materials to be tested according to the production-related information; and determining the testing order of the materials to be tested according to the sequencing result. By sequencing the materials to be tested based on multi-dimensional parameters such as material priority, defect information, testing equipment resource information, and production planning, and determining the testing order of the materials to be tested, the method transforms the originally subjective and vague manual judgment into an objective and unified decision. This effectively overcomes the problems of "high subjectivity and inconsistent standards" caused by differences in personal experience in traditional methods, and avoids the risk of delaying the testing of key materials due to subjective misjudgment.

[0172] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0173] Reference Figure 5 The diagram shows a structural block diagram of a material testing and sorting device provided in an embodiment of the present invention, which may specifically include the following modules:

[0174] The association information determination module 301 is used to determine the production association information of the material to be tested; the production association information includes: the material priority of the material to be tested in the product production process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested.

[0175] The material sorting module 302 is used to sort the materials to be tested according to the production association information of the materials to be tested;

[0176] The test order determination module 303 is used to determine the test order of the materials to be tested based on the sorting results.

[0177] In some embodiments, the material sorting module 302 includes:

[0178] The priority scoring determination submodule is used to determine the priority score of the material to be tested based on its material priority in the product manufacturing process.

[0179] The defect scoring determination submodule is used to determine the defect score of the material under test based on the defect information of the material under test;

[0180] The resource load score determination submodule is used to determine the test resource load score based on the resource information of the test equipment used to test the material under test;

[0181] The urgency score determination submodule is used to determine the urgency score of the material to be tested based on the production planning information of the material to be tested.

[0182] The test material sorting submodule is used to sort the test materials according to their priority score, defect score, test resource load score, and urgency score.

[0183] In some embodiments, the material sorting submodule includes:

[0184] The comprehensive scoring unit is used to perform a weighted calculation on the priority score, the defect score, and the test resource load score of the material under test to obtain a comprehensive score for the material under test; the weight coefficients corresponding to the priority score, the defect score, and the test resource load score of the material under test are all less than 1.

[0185] The material scoring and sorting unit is used to sort the materials to be tested based on their comprehensive score and their urgency score.

[0186] In some embodiments, the priority scoring and determination submodule includes:

[0187] The material priority scoring unit is used to determine the priority score of the material to be tested based on the material priority and the preset material priority scoring rules; the material priority scoring rules are mapping rules for quantifying and assigning the priority of materials in the product production process.

[0188] In some embodiments, the defect scoring determination submodule includes:

[0189] The risk level determination unit is used to determine the defect risk level of the material under test based on the defect information of the material under test.

[0190] The material defect scoring unit is used to determine the defect score of the material under test based on the defect risk level of the material under test and the preset material defect scoring rules; the material defect scoring rules are mapping rules that quantify the severity of product failure or safety hazards caused by material defects.

[0191] In some embodiments, the resource load scoring and determination submodule includes:

[0192] The resource load scoring unit is used to determine the test resource load score based on the resource information and the preset resource load scoring rules; the resource load scoring rules are mapping rules that quantify the congestion level of the test resources required to execute the test project in the current test environment.

[0193] In some embodiments, the resource information includes the number of tests executing the same test item on the currently running test device; the resource load scoring rule is to add one to the number of tests executing the same test item on the currently running test device, divide by a constant factor, and obtain the reciprocal of the corresponding quotient.

[0194] In some embodiments, the urgency scoring determination submodule includes:

[0195] The material urgency scoring unit is used to determine the urgency score of the material to be tested based on the production planning information and the preset urgency scoring rules; the urgency scoring rules are mapping rules that quantify the degree of impact of the material on the production plan due to waiting for the experimental results.

[0196] In some embodiments, the production planning information of the material to be tested includes the production plan time of the material to be tested; the urgency scoring rule is to determine the urgency score of the material to be tested based on the difference in the number of days between the production plan time of the material to be tested and the current time.

[0197] In some embodiments, the material scoring and sorting unit includes:

[0198] The first sorting result determination subunit is used to sort the materials to be tested according to their urgency scores to obtain the first sorting result.

[0199] The second sorting result determination subunit is used to sort the test materials according to their comprehensive scores if there are test materials with the same urgency score in the first sorting result, and obtain the second sorting result.

[0200] The test sorting result determination subunit is used to determine the test sorting result of the material to be tested based on the second sorting result.

[0201] In some embodiments, the method further includes:

[0202] The visualization data generation module is used to generate visualization data of the material based on the priority score, defect score, test resource load score, and urgency score of the material under test.

[0203] As the apparatus embodiment is basically similar to the method embodiment, it is described in a relatively simple manner. For relevant details, please refer to the description of the method embodiment.

[0204] This invention also provides an electronic device, including: a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, it implements the various processes of the above-described material testing and sorting method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0205] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described material testing and sorting method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0206] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0207] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0208] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0209] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0210] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0211] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0212] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0213] The above provides a detailed description of a material testing and sorting method and a material testing and sorting device provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A material testing and sorting method, characterized in that, The method includes: Determine the production association information of the material to be tested; the production association information includes: the material priority of the material to be tested in the product production process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested. The materials to be tested are sorted according to their production association information; Based on the sorting results, the testing order of the materials to be tested is determined.

2. The material testing and sorting method according to claim 1, characterized in that, The step of sorting the materials to be tested according to their production association information includes: The priority score of the material to be tested is determined based on its priority in the product manufacturing process. Based on the defect information of the material to be tested, determine the defect score of the material to be tested; Based on the resource information of the testing equipment used to test the material under test, a test resource load score is determined; Based on the production planning information of the material to be tested, determine the urgency score of the material to be tested; The test materials are sorted according to their priority score, defect score, test resource load score, and urgency score.

3. The material testing and sorting method according to claim 2, characterized in that, The step of sorting the materials under test based on their priority score, defect score, test resource load score, and urgency score includes: The priority score, defect score, and test resource load score of the test material are weighted and calculated to obtain the comprehensive score of the test material; the weight coefficients corresponding to the priority score, defect score, and test resource load score of the test material are all less than 1; The materials to be tested are ranked according to their overall score and their urgency score.

4. The material testing and sorting method according to claim 2, characterized in that, The step of determining the priority score of the material to be tested based on its material priority in the product manufacturing process includes: The priority score of the material to be tested is determined based on the material priority and the preset material priority scoring rules; the material priority scoring rules are mapping rules that quantify and assign the priority of materials in the product production process.

5. The material testing and sorting method according to claim 2, characterized in that, The step of determining the defect score of the material under test based on the defect information of the material under test includes: Based on the defect information of the material to be tested, determine the defect risk level of the material to be tested; The defect score of the material under test is determined based on the defect risk level of the material under test and the preset material defect scoring rules; the material defect scoring rules are mapping rules that quantify the severity of product failure or safety hazards caused by material defects.

6. The material testing and sorting method according to claim 2, characterized in that, The step of determining the test resource load score based on the resource information of the test equipment used to test the material under test includes: Based on the resource information and the preset resource load scoring rules, the test resource load score is determined; the resource load scoring rules are mapping rules that quantify the congestion level of the test resources required to execute the test project in the current test environment.

7. The material testing and sorting method according to claim 6, characterized in that, The resource information includes the number of tests executing the same test item on the currently running test equipment; the resource load scoring rule is to add one to the number of tests executing the same test item on the currently running test equipment, divide by a constant factor, and obtain the reciprocal of the corresponding quotient.

8. The material testing and sorting method according to claim 2, characterized in that, The step of determining the urgency score of the material under test based on the production planning information of the material under test includes: Based on the production planning information and the preset urgency scoring rules, the urgency score of the material to be tested is determined; the urgency scoring rules are mapping rules that quantify the degree of impact of the material on the production plan due to waiting for the experimental results.

9. The material testing and sorting method according to claim 8, characterized in that, The production planning information of the material to be tested includes the production plan time of the material to be tested; the urgency scoring rule is to determine the urgency score of the material to be tested based on the difference in the number of days between the production plan time of the material to be tested and the current time.

10. The material testing and sorting method according to claim 3, characterized in that, The step of ranking the materials under test based on their overall score and their urgency score includes: The materials to be tested are sorted according to their urgency scores to obtain a first sorting result; If there are test materials with the same urgency score in the first ranking result, then the test materials are ranked according to their comprehensive score to obtain the second ranking result; Based on the second sorting result, the test sorting result of the material to be tested is determined.

11. The material testing and sorting method according to claim 3, characterized in that, The method further includes: Visual data of the material is generated based on its priority score, defect score, test resource load score, and urgency score.

12. A material testing and sorting device, characterized in that, The device includes: The association information determination module is used to determine the production association information of the material to be tested; the production association information includes: the material priority of the material to be tested in the product production process, the defect information of the material to be tested, the resource information of the testing equipment used to test the material to be tested, and the production planning information of the material to be tested. The material sorting module is used to sort the materials to be tested according to their production association information. The test order determination module is used to determine the test order of the materials to be tested based on the sorting results.

13. An electronic device, characterized in that, include: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the steps of the material testing and sorting method as described in any one of claims 1-11.

14. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the steps of the material testing and sorting method as described in any one of claims 1-11.

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