Layering test control system for composite board

Abstract

The invention belongs to the technical field of composite material testing, and relates to a layered test control system for a composite board. According to the method, the mapping relation between the scene and the performance is established through the scene-performance demand database, so that the test parameters are accurately matched with the actual application scene, and result distortion caused by one-step test is avoided; by combining intelligent sampling with production process characteristics, production full-chain data and a dynamic adjustment mechanism, it is ensured that a sample can reflect the overall quality state of a plate, sampling deviation is reduced, the layering test result is directly associated with production parameter adjustment, the barrier of test-production disjunction is broken through, and the layering probability is reduced from the source.

Description

Technical Field

[0001] This invention belongs to the field of composite material testing technology and relates to a composite plate layering test control system. Background Technology

[0002] Composite panels are widely used in various fields such as construction, transportation, and hydrogen energy equipment due to their advantages of lightweight and high strength. However, in actual use, delamination frequently occurs due to environmental factors and load conditions, seriously affecting product performance and service life. Therefore, delamination testing of composite panels is of great significance and importance.

[0003] Existing delamination testing methods for composite boards can basically meet the needs of use, but there are still some shortcomings: On the one hand, existing testing methods mostly adopt unified industry standards and do not customize test parameters for specific application scenarios, which makes the test results unable to truly reflect the delamination risk of the boards in actual scenarios. On the other hand, the sampling methods in existing testing methods mostly rely on random sampling at a fixed ratio, without taking into account the characteristics of the production process, which can easily lead to the samples not covering potential quality defects and affecting the reliability of the test.

[0004] On the other hand, existing testing methods only use test results as performance evaluations and have not established a linkage mechanism with production parameter adjustments, making it impossible to suppress stratification in a timely manner by optimizing production processes. Summary of the Invention

[0005] In view of this, in order to solve the problems mentioned in the background technology, a composite board layering test and control system is proposed.

[0006] The objective of this invention can be achieved through the following technical solution: This invention provides a layered testing and control system for composite boards, comprising: a scenario requirement analysis module, a test sample division module, a layered test execution module, a control terminal, and a database. The modules are connected as follows: the scenario requirement analysis module is connected to the test sample division module, the test sample division module is connected to the layered test execution module, the layered test execution module is connected to the control terminal, and the database is connected to both the layered test execution module and the control terminal.

[0007] The scenario requirements analysis module takes as input several specific scenario identifiers for the planned application of the target composite board, extracts the performance requirement parameter set of the target composite board under the corresponding specific scenario identifier from the pre-built scenario-performance requirement database, and generates a hierarchical test requirement list accordingly.

[0008] The test sample division module intelligently samples the target composite board samples prepared according to the standard, and divides the obtained samples into sample groups corresponding to each cause type of the target composite board based on predefined rules in combination with the stratified test requirement list.

[0009] The stratified test execution module obtains stratified test data for each type of causation sample group through targeted testing, and compares the data with the corresponding stratified test data thresholds through deviation comparison to generate corresponding test results.

[0010] The control terminal matches a delamination suppression strategy based on the test results, and accordingly adjusts the production parameters of the target composite board through automatic control to suppress delamination.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention establishes a mapping relationship between scenarios and performance through a scenario-performance requirement database, so that test parameters are accurately matched with actual application scenarios, avoiding the distortion of results caused by one-size-fits-all testing.

[0012] 2. This invention, through intelligent sampling combined with production process characteristics, full-chain production data, and dynamic adjustment mechanisms, ensures that the samples can reflect the overall quality status of the board material and reduces sampling deviation.

[0013] 3. This invention breaks down the barrier between testing and production by directly linking the results of stratified testing to production parameter adjustments, thereby reducing the probability of stratification from the source. Attached Figure Description

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 This is a schematic diagram of the system module connections of the present invention. Detailed Implementation

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] Please see Figure 1As shown, this invention provides a composite board layered testing and control system, with the following module distribution: a scenario requirement analysis module, a test sample division module, a layered test execution module, a control terminal, and a database. The modules are connected as follows: the scenario requirement analysis module is connected to the test sample division module, the test sample division module is connected to the layered test execution module, the layered test execution module is connected to the control terminal, and the database is connected to both the layered test execution module and the control terminal.

[0018] The scenario requirements analysis module takes as input several specific scenario identifiers for the planned application of the target composite board, extracts the performance requirement parameter set of the target composite board under the corresponding specific scenario identifier from the pre-built scenario-performance requirement database, and generates a hierarchical test requirement list accordingly.

[0019] In a preferred feasible example of the present invention, the scenario-performance requirement database is a structured data set that associates specific scenario identifiers with the layered performance requirements of the target composite board in that scenario.

[0020] Specifically, the core function of the scenario-performance requirement database is to provide a "scenario → performance" mapping relationship for the scenario requirement analysis module, ensuring that the extracted test parameters match the actual requirements of the scenario.

[0021] The specific construction method of the scenario-performance requirement database includes: (1) Data source collection: Obtain the original performance data of the target composite board in several specific scenario identifiers through industry standards and specifications, actual historical failure case data, historical experimental data and enterprise technical specifications.

[0022] For example, the industry standards and specifications mentioned above are collected from composite panel standards such as GB (Chinese national standard), ISO (International standard), and ASTM (American standard) for different scenarios, and the delamination-related performance requirements of the target composite panel are extracted from them (for example, GB / T17748-2016 specifies that the peel strength of aluminum composite panels for building is ≥3N / mm; ISO 11343 specifies the delamination requirements of automotive interior panels after damp heat aging).

[0023] The historical failure case data refers to the historical data of delamination failure of target composite panels under various historical scenarios (for example, cases of delamination of building exterior wall panels after 500 hours of humid heat cycling, which must be reversed to meet the requirement of "no delamination after ≥1000 hours of humid heat cycling").

[0024] The historical experimental verification data refers to the performance requirements related to the layering of target composite panels that are not covered in industry standards and specifications, obtained through targeted experiments.

[0025] The aforementioned enterprise technical specifications refer to the layer-related performance requirements of target composite panels that are incorporated into the internal standards of leading enterprises.

[0026] (2) The original data is correlated, and outliers are removed by cross-validation (such as comparing the consistency of industry standards and specifications and historical experimental verification data in the same scenario). For example, the threshold is too low due to test error in a certain case. The source label is obtained based on the original data to determine its confidence level.

[0027] Specifically, the method for associating the original data is as follows: the original data is associated with the subject according to "scene identifier → influencing factors → performance parameters → threshold", for example, "building-bathroom-indoor dampness" is associated with "high humidity" → "peel strength after immersion in water for 72 hours" → "≥2.5N / mm".

[0028] (3) Regularly (e.g., annually) incorporate new specific scenario identifiers (e.g., composite panels for hydrogen energy equipment), and update industry standards and specifications, actual historical failure case data, historical experimental data and enterprise technical specifications in a timely manner.

[0029] In a preferred feasible example of the present invention, the stratified test requirement list specifically includes each type of trigger that needs to be tested and its corresponding performance parameters.

[0030] The specific method for generating the hierarchical test requirement list includes: classifying the performance requirement parameter set of the target composite board under several specific scenario identifiers according to the cause type, obtaining the performance requirement parameter corresponding to each cause type of the target composite board under several specific scenario identifiers, and using it as the performance parameter corresponding to each cause type of the target composite board under several specific scenario identifiers, and then statistically analyzing the cause types that need to be tested and their corresponding performance parameters.

[0031] This invention establishes a mapping relationship between scenarios and performance through a scenario-performance requirement database, enabling test parameters to accurately match actual application scenarios and avoiding the distortion of results caused by a one-size-fits-all approach to testing.

[0032] The test sample division module intelligently samples the target composite board samples prepared according to the standard, and divides the obtained samples into sample groups corresponding to each cause type of the target composite board based on predefined rules in combination with the stratified test requirement list.

[0033] In a preferred feasible example of the present invention, the specific method for intelligent sampling of the target composite board sample prepared according to the standard includes: obtaining the type and production batch of the target composite board, and determining the sampling base, minimum sampling quantity and sample specifications of the target composite board.

[0034] For example, the sampling base is the total batch range of the target composite board to be sampled (such as 1,000 boards produced in a certain batch), and is associated with production records (such as production batch number, production date, raw material batch, etc.).

[0035] The minimum sampling size is 5% or 30 sheets of the batch, taking the maximum value.

[0036] The sample specifications refer to the size / shape that must match the standard preparation, such as a 100mm×100mm test block, and the allowable sampling error range (such as the sample performance deviation must be ≤5%).

[0037] The algorithm, trained on production data and combined with the production process characteristics of the target composite board, prioritizes the delineation of sampling coordinates in high-risk areas (such as areas prone to quality fluctuations during production) based on a pre-set risk area map, while also taking into account random sampling in low-risk areas. This ensures coverage of the spatial distribution differences of the target composite board and avoids sampling bias.

[0038] It should be further explained that the preset risk area map is the spatial area (such as the edge of the board, the core material splicing, the press corner, etc.) that is prone to delamination defects during the production process of the target composite board by analyzing the production process characteristics of the target composite board (such as the pressing temperature distribution, the uniformity of adhesive coating, the interlayer bonding pressure fluctuation, etc.) and combining historical quality data (such as the location of delamination defects in the past batch and abnormal process parameter records).

[0039] For example, if historical data for a certain type of sheet material shows that the delamination rate on the right side of the press is three times higher than the average due to insufficient pressure, then that area is marked as a high-risk area.

[0040] By linking the entire chain of data for the target composite board production (such as MES production execution system records), stratified sampling is performed by production batch, and target composite boards with high risks in the production process (such as products with abnormal pressure or fluctuations in process parameters) are identified, and their sampling ratio is increased to improve the ability to detect potential quality problems.

[0041] The robotic arm uses vision positioning to grab the sample at preset coordinates, simultaneously recording the sampling time and location coordinates, and associating them with the production identification information of the sampled board (such as batch number and production time) to ensure sample traceability.

[0042] Each sample is assigned a unique coded label, which is linked to its production and sampling data. Sensors are used to check whether the sample's size and surface condition meet the testing requirements. If the sample does not meet the requirements, a second sampling is performed to ensure sample quality.

[0043] The algorithm verifies the coverage of the samples (e.g., whether it covers all batches and different production areas). If the representativeness is insufficient, additional sampling is performed, and the final output is a traceable sample set that fully meets the testing requirements.

[0044] In a preferred feasible example of the present invention, the specific content of the predefined rule includes: dividing the total number of target composite board samples obtained by intelligent sampling by the total number of inducing factor types to be tested, and using the quotient as the preset division number to group the target composite board samples, thereby obtaining sample groups corresponding to each inducing factor type of the target composite board. If there is a remainder, the target composite board samples prepared according to the standard are intelligently sampled again and divided until the total number of target composite board samples divided by the total number of inducing factor types to be tested has no remainder.

[0045] This invention, through intelligent sampling combined with production process characteristics, full-chain production data, and dynamic adjustment mechanisms, ensures that the samples can reflect the overall quality status of the boards and reduces sampling bias.

[0046] The stratified test execution module obtains stratified test data for each type of causation sample group through targeted testing, and compares the data with the corresponding stratified test data thresholds through deviation comparison to generate corresponding test results.

[0047] As a specific example, the sample component layer test data of the high humidity environment inducement type includes the bonding strength, peel strength and integrity of the interfaces between the layers of the sample, as well as the water absorption rate and linear expansion rate of the sample surface and core material.

[0048] It should be further explained that the specific methods for obtaining the bonding strength, peel strength, and integrity of the interfaces between the layers of the sample, as well as the water absorption rate and linear expansion rate of the sample surface and core material, are as follows: The sample treated in a high-humidity environment is tested using a peel testing machine to directly obtain the bonding strength and peel strength of each interface. Ultrasonic scanning is used to assess whether cracks or peeling exist at each interface, quantifying the integrity (e.g., expressed as the percentage of defect-free area). The mass changes of the sample surface and core material before and after high-humidity environmental treatment are measured separately, and the water absorption rate (absorbed mass / initial mass) is calculated. The dimensional changes of the sample surface and core material before and after high-humidity environmental treatment are measured using a laser length measuring instrument, and the linear expansion rate (dimensional change / initial size) is calculated. The peel testing machine, ultrasonic scanning, and laser length measuring instrument mentioned above are relatively mature technologies in the prior art and will not be elaborated further here.

[0049] The sample component layer test data for the extreme hot and cold alternation environment inducement type include the layer area, warpage, and interlayer gap width of the sample.

[0050] It should be further explained that the specific methods for obtaining the layered area, warpage, and interlayer gap width of the sample are as follows: The sample surface is photographed using an image acquisition device (such as an industrial camera), and the layered regions are identified using image analysis software (such as a threshold segmentation algorithm), and their areas are calculated. The sample is placed on a plane, and the maximum perpendicular distance between the sample edge and the plane is measured using a laser rangefinder to calculate the warpage. The gap width between the sample layers caused by alternating heating and cooling is directly measured using a microscope. The calculation of the layered area, warpage, and gap width described above are relatively mature in existing technologies and will not be elaborated further here.

[0051] The sample component layer test data for the high-load environmental induced type include the layer area, layer expansion rate, and stiffness loss rate of the sample.

[0052] It should be further explained that the specific methods for obtaining the delamination area, delamination rate, and stiffness loss rate of the sample are as follows: For extreme hot-cold alternation types, the delamination area of ​​the sample after loading is identified and calculated using image analysis software. During loading, changes in the delamination area are recorded periodically (e.g., every 10 minutes) through image acquisition, and the increase in delamination area per unit time (expansion area / time) is calculated as the delamination rate. The stress-strain curves of the sample before and after loading are recorded using testing equipment, and the stiffness before and after loading is calculated as (initial stiffness - residual stiffness) / initial stiffness × 100%, yielding the stiffness loss rate. The calculations of delamination area, delamination rate, and stiffness loss rate described above are relatively mature in existing technologies and will not be elaborated upon here.

[0053] In a preferred feasible example of the present invention, the various inducing factors are specifically high humidity environment inducing factors, extreme hot and cold alternation environment inducing factors, and high load environment inducing factors.

[0054] The targeted testing is a testing method in which the stratified testing execution module simulates specific environmental conditions for sample groups of each type of causation based on the actual needs of their corresponding specific scenario identifiers, and obtains stratified test data for sample groups of each type of causation. The core is to perform customized testing according to the scenario requirements matched with the causation type.

[0055] For example, for the sample group induced by high humidity, high humidity scenario conditions such as "immersion in water for 72 hours" were simulated. For the sample group induced by extreme hot and cold alternation environment, drastic temperature change scenario conditions such as "repeated cycles from -20℃ to 60℃" were simulated. For the sample group induced by high load environment, load scenario conditions such as "continuous application of specific pressure" were simulated. The above testing methods are relatively mature in the prior art and will not be described in detail here.

[0056] In a preferred feasible example of the present invention, the specific method for generating the test results corresponding to the high humidity environment cause type includes: extracting the bonding strength, peel strength, and integrity of each interlayer interface of the target composite board sample from the layered test data, and comparing them with the corresponding interlayer interface bonding strength threshold, peel strength threshold, and integrity threshold stored in the database.

[0057] If the bonding strength, peel strength, and integrity of each interlayer interface are all greater than the bonding strength threshold, peel strength threshold, and integrity threshold, then the interlayer interface adhesion performance evaluation of the target composite board sample is recorded as qualified; otherwise, the interlayer interface adhesion performance evaluation of the target composite board sample is recorded as unqualified.

[0058] The water absorption rate and linear expansion rate of the surface layer and core material of the target composite board sample are extracted from the layered test data. The difference in water absorption rate and linear expansion rate between the surface layer and core material of the target composite board sample are obtained by deviation calculation. These are compared with the allowable difference in water absorption rate and allowable difference in linear expansion rate, respectively. The moisture resistance evaluation of the target composite board sample is determined by the interlayer interface adhesion performance evaluation analysis method.

[0059] If the interlayer bonding performance evaluation and moisture resistance evaluation of the target composite board sample are both qualified, the test result of the target composite board sample is recorded as qualified; otherwise, the test result of the target composite board sample is recorded as unqualified. In this way, the test results of the target composite board sample under several specific scenario identifiers of the high humidity environment cause type are obtained and recorded as the test results corresponding to the high humidity environment cause type.

[0060] In a preferred feasible example of the present invention, the specific method for generating the test results corresponding to the extreme hot and cold alternation environment induced by the present invention includes: extracting the layer area, warpage and interlayer gap width of the target composite board sample from the layer test data, and comparing the deviation with the corresponding permissible layer area, permissible warpage and permissible interlayer gap width stored in the database.

[0061] If the layer area, warpage, and interlayer gap width are all less than the permissible layer area, permissible warpage, and permissible interlayer gap width, the test result of the target composite board sample is recorded as qualified; otherwise, the test result of the target composite board sample is recorded as unqualified. In this way, the test results of the target composite board sample under several specific scenario identifiers of the extreme hot and cold alternating environment induced type are obtained and recorded as the test results corresponding to the extreme hot and cold alternating environment induced type.

[0062] In a preferred feasible example of the present invention, the specific method for generating the test results corresponding to the high-load environment induced type includes: extracting the delamination area, delamination expansion rate and stiffness loss rate of the target composite plate sample from the delamination test data, and comparing them with the corresponding permissible delamination area, permissible delamination expansion rate and permissible stiffness loss rate stored in the database.

[0063] If the layered area, layered expansion rate, and stiffness loss rate are all less than the permissible layered area, permissible layered expansion rate, and permissible stiffness loss rate, then the test result of the target composite panel sample is recorded as qualified; otherwise, the test result of the target composite panel sample is recorded as unqualified. In this way, the test results of the target composite panel sample under several specific scenario identifiers of the high load environment cause type are obtained and recorded as the test results corresponding to the high load environment cause type.

[0064] The control terminal matches a delamination suppression strategy based on the test results, and accordingly adjusts the production parameters of the target composite board through automatic control to suppress delamination.

[0065] In a preferred feasible example of the present invention, the specific content of the control terminal includes: if the test result corresponding to a certain type of precipitate is qualified, then there is no need to match a stratified suppression strategy.

[0066] If the test result corresponding to a certain cause type is unqualified, the cause of the unqualified result is further determined and matched with the stratification suppression strategy corresponding to each unqualified cause stored in the database to obtain the stratification suppression strategy corresponding to the unqualified cause. The target composite board is then automatically controlled to adjust the production parameters to suppress stratification.

[0067] It should be further explained that if the test result corresponding to a certain inducing factor type is unqualified, the specific operation to further determine the reason for the unqualification is as follows: if the test result corresponding to the high humidity environment inducing factor type is unqualified, then further analyze whether its interlayer interface adhesion performance evaluation and moisture resistance evaluation are unqualified. If the interlayer interface adhesion performance evaluation is unqualified, the reason is that at least one of the three in the test data, namely bonding strength, peel strength, and integrity, is less than or equal to the corresponding threshold. The reason for the unqualification is investigated and determined (for example, bonding strength < interlayer interface bonding strength threshold, peel strength < peel strength threshold, or integrity < integrity threshold).

[0068] If the moisture resistance evaluation is unqualified, the reason is that at least one of the differences in water absorption rate and linear expansion rate between the surface layer and the core material in the test data is greater than or equal to the corresponding permissible difference. The reasons for the unqualification should be investigated to determine the cause (water absorption rate difference ≥ permissible water absorption rate difference or linear expansion rate difference ≥ permissible linear expansion rate difference).

[0069] If the test result corresponding to the extreme hot and cold alternation environment induced by the cause is unqualified, the reason is that at least one of the three factors in the test data, namely, the delamination area, the warpage, and the interlayer gap width, is greater than or equal to the corresponding permissible value. The cause of the unqualification should be investigated to determine the reason (delamination area ≥ permissible delamination area or warpage ≥ permissible warpage or interlayer gap width ≥ permissible interlayer gap width).

[0070] If the test result corresponding to the high-load environment causation type is a non-compliance reason, the reason is that at least one of the three factors in the test data—layer area, layer expansion rate, and stiffness loss rate—is greater than or equal to the corresponding permissible value. Investigate these factors to determine the non-compliance reason (layer area ≥ permissible layer area or layer expansion rate ≥ permissible layer expansion rate or stiffness loss rate ≥ permissible stiffness loss rate).

[0071] It should be further explained that the delamination suppression strategy corresponding to the aforementioned reasons for non-compliance is as follows: the target composite board is controlled by automatically adjusting the production parameters to suppress delamination. Specifically, if the reason for non-compliance is that the delamination area is greater than or equal to the permissible delamination area, or the warpage is greater than or equal to the permissible warpage, or the interlayer gap width is greater than or equal to the permissible interlayer gap width, then the corresponding delamination suppression strategy is to improve the interlayer adhesion performance. The corresponding adjustment of production parameters may be: increasing the amount of adhesive coating, increasing the pressing temperature (e.g., from 120℃ to 130℃), or extending the curing time (e.g., from 30min to 40min).

[0072] If the reason for non-compliance is that the difference in water absorption rate is greater than or equal to the permissible difference in water absorption rate or the difference in linear expansion rate is greater than or equal to the permissible difference in linear expansion rate, then the corresponding delamination suppression strategy is to reduce the difference in moisture absorption of the materials; the corresponding adjustment of production parameters may be: replacing the surface material with a low water absorption rate, or adjusting the core material pretreatment process (such as increasing the drying time).

[0073] If the reason for non-compliance is that the delamination area is greater than or equal to the permitted delamination area, or the warpage is greater than or equal to the permitted warpage, or the interlayer gap width is greater than or equal to the permitted interlayer gap width, then the corresponding delamination suppression strategy is to enhance the interlayer dimensional stability. The corresponding production parameter adjustments can be: optimizing the thickness of the interlayer buffer layer (e.g., increasing it from 0.5mm to 0.8mm), and adjusting the matching degree of the thermal expansion coefficients of each layer material (e.g., selecting a surface material with a thermal expansion coefficient closer to that of the core material).

[0074] If the delamination area is greater than or equal to the permissible delamination area, or the delamination expansion rate is greater than or equal to the permissible delamination expansion rate, or the stiffness loss rate is greater than or equal to the permissible stiffness loss rate, then the corresponding delamination suppression strategy is to improve the structural load-bearing capacity; the corresponding adjustment of production parameters can be: increasing the reinforcing fiber content (e.g., from 10% to 15%), or increasing the pressing pressure (e.g., from 5MPa to 6MPa).

[0075] The database stores the interlayer bonding strength threshold, peel strength threshold, and integrity threshold of the target composite board sample; it also stores the permissible delamination area, permissible warpage, and permissible interlayer gap width of the target composite board sample; it compares the permissible delamination area, permissible delamination propagation rate, and permissible stiffness loss rate of the target composite board sample; and it stores the delamination suppression strategies corresponding to each non-compliance reason.

[0076] This invention breaks down the barrier between testing and production by directly linking stratified test results to production parameter adjustments, thereby reducing the probability of stratification from the source.

[0077] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. A composite board layering test and control system, characterized in that: include: The scenario requirement analysis module takes as input several specific scenario identifiers of the target composite board to be applied, extracts the performance requirement parameter set of the target composite board under the corresponding specific scenario identifier from the pre-built scenario-performance requirement database, and generates a hierarchical test requirement list accordingly. The test sample division module intelligently samples the target composite board samples prepared according to the standard, and divides the obtained samples into sample groups corresponding to each cause type of the target composite board based on predefined rules in combination with the stratified test requirement list. The stratified test execution module obtains stratified test data for each type of sample group through targeted testing, and compares the data with the corresponding stratified test data thresholds to generate corresponding test results. The control terminal matches a delamination suppression strategy based on the test results, and accordingly adjusts the production parameters of the target composite board through automatic control to suppress delamination.

2. The composite board layering test and control system according to claim 1, characterized in that: The scenario-performance requirement database is a structured data set that associates specific scenario identifiers with the layered performance requirements of the target composite board in that scenario. The specific construction method of the scenario-performance requirement database includes: (1) Data source collection: Obtain the original performance data of the target composite board in several specific scenario identifiers through industry standards and specifications, actual historical failure case data, historical experimental data and enterprise technical specifications; (2) The original data is correlated, and outliers are removed by cross-validation. The source label is then obtained based on the original data to determine its confidence level. (3) Regularly incorporate new specific scenario identifiers, and update industry standards and specifications, actual historical failure case data, historical experimental data and enterprise technical specifications in a timely manner.

3. The composite board layering test and control system according to claim 1, characterized in that: The tiered testing requirements list specifically includes the types of triggers that need to be tested and their corresponding performance parameters. The specific method for generating the hierarchical test requirement list includes: classifying the performance requirement parameter set of the target composite board under several specific scenario identifiers according to the cause type, obtaining the performance requirement parameter corresponding to each cause type of the target composite board under several specific scenario identifiers, and using it as the performance parameter corresponding to each cause type of the target composite board under several specific scenario identifiers, and then statistically analyzing the cause types that need to be tested and their corresponding performance parameters.

4. The composite board layering test and control system according to claim 1, characterized in that: The specific methods for intelligent sampling of target composite board samples prepared according to standards include: Obtain the type and production batch of the target composite board, and determine the sampling base, minimum sampling quantity and sample specifications of the target composite board; The algorithm, trained on production data and combined with the production process characteristics of the target composite board, prioritizes the delineation of sampling coordinates in high-risk areas based on the preset risk area map, while also taking into account random sampling in low-risk areas, to ensure coverage of the spatial distribution differences of the target composite board. Link the entire chain data of the target composite board production, perform stratified sampling according to production batches, and identify target composite boards with high risks in the production process to increase their sampling ratio; The robotic arm uses vision positioning to grab the sample at preset coordinates, simultaneously recording the sampling time, location coordinates, and associating them with the production identification information of the sampled board. A unique coded label is assigned to each sample to bind its production and sampling data. Sensors are used to check whether the size and surface condition of the sample meet the test requirements. If the sample does not meet the requirements, a second sampling is performed. The algorithm verifies the coverage of the samples, and supplements the sampling if the representativeness is insufficient.

5. The composite board layering test and control system according to claim 1, characterized in that: The specific content of the predefined rules includes: The total number of target composite board samples obtained through intelligent sampling is divided by the total number of inducing factor types to be tested. The quotient is used as the preset division number to group the target composite board samples, obtaining sample groups corresponding to each inducing factor type. If there is a remainder, the target composite board samples prepared according to the standard are intelligently sampled again and divided until the total number of target composite board samples divided by the total number of inducing factor types to be tested has no remainder.

6. The composite board layering test and control system according to claim 1, characterized in that: The specific types of inducing factors are high humidity environment inducing factors, extreme hot and cold alternation environment inducing factors, and high load environment inducing factors. The targeted testing is a testing method in which the stratified testing execution module, based on the actual needs of the sample groups of each inducing factor type and according to the specific scenario identification, uses testing equipment to simulate specific environmental conditions and obtain stratified test data of the sample groups of each inducing factor type.

7. A composite board layering test and control system according to claim 6, characterized in that: The specific methods for generating test results corresponding to the high humidity environment trigger types include: The bonding strength, peel strength, and integrity of each interlayer interface of the target composite board sample are extracted from the layer test data, and then compared with the corresponding interlayer interface bonding strength threshold, peel strength threshold, and integrity threshold stored in the database. If the bonding strength, peel strength, and integrity of each interlayer interface are all greater than the bonding strength threshold, peel strength threshold, and integrity threshold, then the interlayer interface adhesion performance evaluation of the target composite board sample is recorded as qualified; otherwise, the interlayer interface adhesion performance evaluation of the target composite board sample is recorded as unqualified. The water absorption rate and linear expansion rate of the surface and core material of the target composite board sample are extracted from the layered test data. The difference in water absorption rate and linear expansion rate between the surface and core material of the target composite board sample are obtained by deviation calculation. These are compared with the allowable difference in water absorption rate and allowable difference in linear expansion rate, respectively. The moisture resistance evaluation of the target composite board sample is determined by the interlayer interface adhesion performance evaluation analysis method. If the interlayer bonding performance evaluation and moisture resistance evaluation of the target composite board sample are both qualified, the test result of the target composite board sample is recorded as qualified; otherwise, the test result of the target composite board sample is recorded as unqualified. In this way, the test results of the target composite board sample under several specific scenario identifiers of the high humidity environment cause type are obtained and recorded as the test results corresponding to the high humidity environment cause type.

8. A composite board layering test and control system according to claim 7, characterized in that: The specific methods for generating test results corresponding to the extreme hot and cold alternation environment trigger types include: Extract the delamination area, warpage, and interlayer gap width of the target composite board sample from the delamination test data, and compare them with the corresponding permissible delamination area, permissible warpage, and permissible interlayer gap width stored in the database for deviation. If the layer area, warpage, and interlayer gap width are all less than the permissible layer area, permissible warpage, and permissible interlayer gap width, the test result of the target composite board sample is recorded as qualified; otherwise, the test result of the target composite board sample is recorded as unqualified. In this way, the test results of the target composite board sample under several specific scenario identifiers of the extreme hot and cold alternating environment induced type are obtained and recorded as the test results corresponding to the extreme hot and cold alternating environment induced type.

9. A composite board layering test and control system according to claim 8, characterized in that: The specific methods for generating test results corresponding to the high-load environment causation types include: Extract the delamination area, delamination rate, and stiffness loss rate of the target composite plate sample from the delamination test data, and compare them with the corresponding permissible delamination area, permissible delamination rate, and permissible stiffness loss rate stored in the database. If the layered area, layered expansion rate, and stiffness loss rate are all less than the permissible layered area, permissible layered expansion rate, and permissible stiffness loss rate, then the test result of the target composite panel sample is recorded as qualified; otherwise, the test result of the target composite panel sample is recorded as unqualified. In this way, the test results of the target composite panel sample under several specific scenario identifiers of the high load environment cause type are obtained and recorded as the test results corresponding to the high load environment cause type.

10. A composite board layering test and control system according to claim 1, characterized in that: The specific contents of the control terminal include: If the test result for a certain trigger type is qualified, then there is no need to match a stratified suppression strategy; If the test result corresponding to a certain cause type is unqualified, the cause of the unqualified result is further determined and matched with the stratification suppression strategy corresponding to each unqualified cause stored in the database to obtain the stratification suppression strategy corresponding to the unqualified cause. The target composite board is then automatically controlled to adjust the production parameters to suppress stratification.

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