A detection method and system based on LED display screen production

Abstract

The application discloses a kind of detection method and system based on LED display screen production, it is related to detection technical field, different quality grades each lamp bead and each module are randomly combined to obtain each raw material group, and simulation model is constructed to obtain simulation LED display screen under different process parameter numerical combination of each raw material group, detection environment is built, and the simulation LED display screen of each raw material group is detected and analyzed in detection environment, obtains the lamp bead and module needed in this production, and each process parameter standard value of each production link, detects each process parameter value of each production link and adjusts, selects detection sample from each production stage, judges whether production is abnormal, if production is abnormal, early warning is carried out, the effectiveness of process parameter setting and process parameter value adjustment is guaranteed, also the accuracy of LED display screen quality detection is guaranteed, also the accuracy of representative and production abnormality analysis of detection sample is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of testing technology, and specifically to a testing method and system based on LED display production. Background Technology

[0002] LED displays are becoming increasingly widely used, expanding from traditional outdoor displays to indoor commercial displays. As they become more commercialized, people have higher and higher requirements for quality. In the production process of LED displays, the quality of LED chips and modules, as well as the values ​​of various process parameters in each production stage, are the key factors that determine the quality of the display and directly affect the display effect.

[0003] Traditional testing methods and systems based on LED display production acquire the quality of LED displays from each historical production run and set process parameters for each production stage based on that quality. During production, these parameters are monitored and adjusted. After production, several LED displays are randomly selected, and their quality is assessed by inputting different electrical signals to determine if production is abnormal. Clearly, this method and system has at least the following shortcomings: 1. Traditional methods and systems set process parameters for each production stage based on the quality of historical LED displays before production. However, the quality of LED chips and modules is related to the LED display itself, and the process parameters for each production stage are also correlated with the chip and module quality. Therefore, the effectiveness of setting process parameters cannot be guaranteed, and consequently, the effectiveness of adjusting process parameters cannot be guaranteed.

[0004] 2. Traditional testing methods and systems based on LED display production lack the consideration of the impact of light and power supply and usage conditions on the color display of LED displays when testing their quality. Therefore, they cannot guarantee the accuracy of LED display quality testing.

[0005] 3. Traditional detection methods and systems based on LED display production rely on random selection of test samples when determining whether production is abnormal. This may result in all monitored samples being produced in the same stage of production, which cannot guarantee the representativeness of the test samples and consequently the accuracy of production anomaly analysis. Summary of the Invention

[0006] To address the aforementioned technical shortcomings, the present invention aims to provide a testing method and system based on LED display screen production.

[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: In the first aspect, the present invention provides a testing method based on LED display production, including the following steps: S1, data acquisition: obtaining LED display orders from the database, obtaining the usage scenarios of LED displays from the orders, and obtaining LED beads and modules of different quality grades from the LED beads and module raw materials.

[0008] S2. Simulation Production and Analysis: Randomly combine LED beads and modules of different quality grades to obtain raw material groups, construct simulation models, obtain simulated LED displays for each raw material group through simulation models, analyze the quality grade of each simulated LED display for each raw material group, and obtain the process parameter values ​​for each production stage.

[0009] S3. Production Inspection: Inspect the process parameters of each stage of LED display production, adjust the process parameters of each stage, select test samples from each LED display produced, test the color display stability of each test sample, and analyze whether there are any abnormalities in the production of LED displays.

[0010] S4. Warning: Issues a warning when there is an abnormality in the production of the LED display screen.

[0011] Secondly, the present invention provides a testing system based on LED display production, comprising the following modules: a data acquisition module for obtaining LED display orders from a database, obtaining the usage scenarios of LED displays from the orders, and obtaining LED beads and modules of different quality grades from LED beads and module raw materials.

[0012] The simulation production and analysis module is used to randomly combine LED beads and modules of different quality grades to obtain raw material groups, build simulation models, obtain simulated LED displays of each raw material group through simulation models, analyze the quality grade of each simulated LED display of each raw material group, and obtain the process parameter values ​​of each production link.

[0013] The production testing module is used to test the process parameters of each stage of LED display production, adjust the process parameters of each stage, select test samples from each LED display produced, test the color display stability of each test sample, and analyze whether there are any abnormalities in the production of LED displays.

[0014] The early warning module is used to issue warnings when there are production abnormalities in the LED display screen.

[0015] The database is used to store LED display orders, the RGB values ​​of the colors required for each simulated LED display in each raw material group, the cost of LED beads of different quality grades, and the cost of modules of different quality grades.

[0016] The beneficial effects of this invention are as follows: 1. This invention provides a detection method and system based on LED display production. Different quality grades of LED beads and modules are randomly combined to obtain raw material groups. A simulation model is constructed to obtain simulated LED displays of each raw material group under different combinations of process parameter values. A detection environment is built, and the simulated LED displays of each raw material group are detected and analyzed within the detection environment. The required LED beads and modules for this production, as well as the standard values ​​of each process parameter in each production stage, are obtained. The process parameter values ​​of each production stage are detected and adjusted. Test samples are selected from each production stage to determine if production is abnormal. If production is abnormal, an early warning is issued. This ensures the effectiveness of process parameter settings and adjustments, the accuracy of LED display quality detection, the representativeness of test samples, and the accuracy of production anomaly analysis.

[0017] 2. This invention randomly selects one LED bead and one module from each LED bead and module of different quality grades to combine them, thus obtaining each raw material group. A simulation model is then constructed. In the simulation model, by controlling the values ​​of each process parameter in each production stage, the simulated LED display screen of each raw material group with the combination of each process parameter value is obtained. A testing environment is set up, and different electrical signals are input to each simulated LED display screen of each raw material group in the testing environment. The quality grade of each simulated LED display screen of each raw material group is analyzed. At the same time, the quality grade of the LED beads and the quality grade of the modules required for the production of the LED display screen are obtained, as well as the standard values ​​of each process parameter in each production stage, ensuring the effectiveness of process parameter settings and the effectiveness of process parameter value adjustments.

[0018] 3. This invention acquires the usage scenario of the LED display screen, obtains the real-time power consumption and power supply status of the usage scenario, and obtains a real-time power consumption-power supply line graph of the usage scenario. Based on the real-time power consumption-power supply line graph, it sets the real-time power transmission and power supply of the power source in the detection environment. At the same time, it acquires the light parameter values ​​of the usage scenario in each time period according to a preset duration threshold, and sets the light in the detection environment in each time period based on the light parameter values ​​of each time period, thus ensuring the accuracy of LED display screen quality detection.

[0019] 4. In this invention, each completed LED display screen is referred to as a marked LED display screen. The production completion time of each marked LED display screen is obtained, and the preset production time is divided into an early production stage, a middle production stage, and a late production stage. At the same time, each early LED display screen, each middle LED display screen, and each late LED display screen are obtained. The same number of LED display screens are randomly selected from each early LED display screen, each middle LED display screen, and each late LED display screen. The selected LED display screens are referred to as test samples, which ensures that the test samples are representative and the accuracy of production anomaly analysis. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the implementation steps of the method of the present invention.

[0022] Figure 2 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Please see Figure 1 As shown, the present invention provides a testing method based on LED display production, including: S1, data acquisition: obtaining LED display orders from the database, obtaining the usage scenarios of LED displays from the orders, and obtaining LED beads and modules of different quality grades from the LED beads and module raw materials.

[0025] It should be noted that LED displays are used in various scenarios, including outdoor commercial area screens, transportation hub advertisements, indoor conference room screens, and stage backdrops.

[0026] It should also be noted that the quality grades of the LED chips and modules are set by the manufacturers of the LED chips and modules. The higher the quality grade, the better the quality of the LED chips and modules.

[0027] S2. Simulation Production and Analysis: Randomly combine LED beads and modules of different quality grades to obtain raw material groups, construct simulation models, obtain simulated LED displays for each raw material group through simulation models, analyze the quality grade of each simulated LED display for each raw material group, and obtain the process parameter values ​​for each production stage.

[0028] It should be noted that the process of building the simulation model is as follows: First, the production of LED displays is broken down into various production stages. Then, a flowchart is used to draw the connection relationship between each production stage and to collect the quality level of LED beads and modules, as well as the equipment status of each production stage. Next, a discrete simulation event tool is selected, and each production stage is combined according to logical relationships. Finally, the model is verified.

[0029] In a specific embodiment, the simulation production and analysis process is as follows: one LED bead and one module are randomly selected from each LED bead of different quality grades and each module of different quality grades to be combined to obtain each raw material group, and a simulation model is constructed. In the simulation model, by controlling the values ​​of each process parameter in each production link, the simulated LED display screen of each raw material group with the combination of each process parameter value is obtained, and these are referred to as each simulated LED display screen of each raw material group.

[0030] It should also be noted that the method for controlling the values ​​of each process parameter in each production stage is as follows: adjust the value of a certain process parameter in a certain production stage, while keeping the values ​​of each process parameter in other production stages and the values ​​of other process parameters in that production stage unchanged. By controlling the values ​​of each process parameter in each production stage in this way, a combination of process parameter values ​​can be obtained.

[0031] It should be noted that the combination of process parameter values ​​includes the values ​​of each process parameter in each production stage, and the combinations of process parameter values ​​are all different.

[0032] A testing environment was set up, and different electrical signals were input to each simulated LED display screen of each raw material group in the testing environment. The quality level of each simulated LED display screen of each raw material group was analyzed. At the same time, the quality level of the LED beads and the quality level of the module required for the production of the LED display screen were obtained, as well as the standard values ​​of each process parameter in each production stage.

[0033] It should be noted that different electrical signals are input to simulate different color display scenarios. These signals include DC signals, pulse signals, and step signals. DC signals simulate static display scenarios, pulse signals simulate dynamic display scenarios, and step signals simulate extreme impact display scenarios.

[0034] The specific process of setting up the detection environment described above is as follows: Obtain the usage scenario of the LED display screen, obtain the real-time power consumption and power supply status of the usage scenario, and obtain a real-time power consumption-power supply line graph of the usage scenario. Based on the real-time power consumption-power supply line graph, set the real-time power transmission and supply of the power supply in the detection environment. Simultaneously, obtain the light parameter values ​​of the usage scenario in each time period according to a preset duration threshold, and obtain the light parameters of the detection environment in each time period based on the light parameter values ​​of each time period.

[0035] It should be noted that the staff obtained the real-time power consumption and power supply information of the LED display screen usage scenarios by conducting research at these scenarios.

[0036] The preset duration threshold is a critical value used to determine whether the division of time periods is reasonable. The lighting environment of each moment in the usage scenario is obtained and numbered in chronological order. Moments with the same lighting environment and consecutive numbers are clustered to obtain each duration. The durations are compared and the minimum duration is taken as the preset duration threshold.

[0037] It should also be noted that the light intensities include luminous flux, luminous intensity, beam angle, brightness, and color temperature, etc., which are obtained using an integrating sphere, goniometer, spectral photometer, luminance meter, and spectrometer.

[0038] The above-mentioned analysis of the quality level of each simulated LED display screen of each raw material group is specifically carried out as follows: During each time period of the test environment, different electrical signals are input to each simulated LED display screen of each raw material group, and each electrical signal has the same input duration. During the input duration, the RGB values ​​and screen contrast of the colors displayed by each simulated LED display screen of each raw material group at each input moment are collected. The color display stability of each simulated LED display screen of each raw material group is analyzed, and the minimum screen contrast of each simulated LED display screen of each raw material group is obtained.

[0039] It should be noted that the RGB values ​​and contrast ratios of the simulated LED displays of each raw material group at each input moment were collected using a professional color analyzer and luminance meter.

[0040] Based on the color display stability and minimum screen contrast of each simulated LED display screen in each raw material group, the quality index of each simulated LED display screen in each raw material group is obtained. When the quality index is 1, it represents the quality level 1; when the quality index is 2, it represents the quality level 2; when the quality index is 3, it represents the quality level 3; and when the quality index is 4, it represents the quality level 4. The quality level of each simulated LED display screen in each raw material group is obtained by this method.

[0041] It should be noted that if the color display stability of a certain simulated LED display screen in a certain raw material group is poor and the minimum screen contrast is less than the preset contrast threshold, then the quality index of the simulated LED display screen in that raw material group is 1.

[0042] If the color display stability of a certain simulated LED display screen in a certain raw material group is poor and the minimum screen contrast is greater than the preset contrast threshold, then the quality index of the simulated LED display screen in that raw material group is 2.

[0043] If the color display stability of a certain simulated LED display screen in a certain raw material group is good and the minimum screen contrast is less than the preset contrast threshold, then the quality index of the simulated LED display screen in that raw material group is 3.

[0044] If the color display stability of a certain simulated LED display screen in a certain raw material group is good and the minimum screen contrast is greater than the preset contrast threshold, then the quality index of the simulated LED display screen in that raw material group is 4.

[0045] It should also be noted that the preset contrast threshold is a critical value used to judge whether the image layers are clear and the details are distinct, and it is set by the staff.

[0046] Among them, the higher the quality index, the better the quality of the simulated LED display screen.

[0047] The above-mentioned analysis of the color display stability of each simulated LED display screen of each raw material group is specifically carried out as follows: obtain the RGB values ​​of the colors displayed by each simulated LED display screen of each raw material group at each input time under different electrical signals in each time period, obtain the RGB values ​​of the colors to be displayed by each simulated LED display screen of each raw material group from the database, calculate the color deviation of each simulated LED display screen of each raw material group at each input time under different electrical signals in each time period, and compare and select the maximum color deviation of each simulated LED display screen of each raw material group.

[0048] It should be noted that the difference between the RGB values ​​of the colors displayed by each simulated LED display screen of each raw material group at each input moment under different electrical signals within each time period and the RGB values ​​of the colors required to be displayed by each simulated LED display screen of each raw material group is taken as the color deviation of each simulated LED display screen of each raw material group at each input moment under different electrical signals within each time period.

[0049] The maximum color deviation value of each simulated LED display screen in each material group is compared with a preset color deviation value threshold. If the maximum color deviation value of a simulated LED display screen in a certain material group is greater than the preset color deviation value threshold, it means that the color display stability of the simulated LED display screen in that material group is poor. If the maximum color deviation value of a simulated LED display screen in a certain material group is less than the preset color deviation value threshold, it means that the color display stability of the simulated LED display screen in that material group is good. The color display stability of each simulated LED display screen in each material group is obtained by this method.

[0050] It should be noted that the preset color deviation is a critical value used to judge whether the colors displayed on the simulated LED display screen are accurate, and it is set by the staff.

[0051] The above describes the process of obtaining the standard values ​​of the raw materials and process parameters required for the production of the LED display screen. The specific process is as follows: The quality grade of each simulated LED display screen in each raw material group is mapped to the process parameter values ​​used in each simulated LED display screen in each raw material group to obtain the relationship diagram of the quality grade-process parameter value combination of each raw material group. The cost of each raw material group is obtained, and the raw material group with the lowest cost is called the marked raw material group. The quality grade of the LED chips and the quality grade of the module in the marked raw material group are used as the quality grade of the LED chips and the quality grade of the module required for the production of the LED display screen.

[0052] It should be noted that, for example, if a raw material combination contains four simulated LED displays, with the first simulated LED display having a quality grade of level two and using process parameter combinations X, the second simulated LED display having a quality grade of level two and using process parameter combinations Y, the third simulated LED display having a quality grade of level three and using process parameter combinations A, and the fourth simulated LED display having a quality grade of level three and using process parameter combinations B, then mapping the quality grades of the four simulated LED displays in this raw material combination to the process parameter combinations used by the four simulated LED displays in each raw material group will result in the following relationship diagram: Level two is connected to process parameter combinations X and Y, and level three is connected to process parameter combinations A and B. This example is for illustrative purposes only and is not the only valid one.

[0053] Obtain the required quality grade of the LED display from the LED display order. At the same time, obtain the combination of process parameters required for this production from the relationship diagram of the quality grade of the marked raw material group and the process parameter value combination. Randomly select one process parameter value combination and use the process parameter values ​​of each production stage in this process parameter value combination as the standard values ​​of each process parameter in each production stage of this LED display production.

[0054] S3. Production Inspection: Inspect the process parameters of each stage of LED display production, adjust the process parameters of each stage, select test samples from each LED display produced, test the color display stability of each test sample, and analyze whether there are any abnormalities in the production of LED displays.

[0055] It should be noted that the various production stages of LED displays include PCB board pretreatment, SMT assembly, and post-soldering. The process parameters for PCB board pretreatment include cleaning time, cleaning temperature, and micro-etching time. The process parameters for SMT assembly include squeegee pressure, printing speed, and demolding speed. The process parameters for post-soldering include solder temperature and coating volume.

[0056] In a specific embodiment, the production inspection process is as follows: obtain the values ​​of each process parameter in each production stage on the production line, and compare them with the standard values ​​of each process parameter in each production stage. If there are process parameters whose values ​​are different from the standard values, adjust their values ​​to the standard values ​​and proceed with production. If there are no process parameters whose values ​​are different from the standard values, proceed with production.

[0057] After the preset production time, each test sample is selected from the completed LED displays, and the quality level of each test sample is analyzed. Based on the quality level of each test sample, it is determined whether the production is abnormal.

[0058] It should be noted that the preset production time is set by the relevant staff.

[0059] The specific process for selecting each test sample is as follows: Each LED display screen that has been produced is referred to as a marked LED display screen. The production completion time of each marked LED display screen is obtained, and the preset production time is divided into an early production stage, a middle production stage, and a late production stage. At the same time, each early LED display screen, each middle LED display screen, and each late LED display screen are obtained. The same number of LED display screens are randomly selected from each early LED display screen, each middle LED display screen, and each late LED display screen. Each selected LED display screen is referred to as a test sample.

[0060] It should be noted that the preset production time is divided into three segments: the first segment is called the early production stage, the middle segment is called the mid-production stage, and the last segment is called the late production stage.

[0061] It should also be noted that LED displays with production completion times in the early production stage are called early-stage LED displays, those with production completion times in the middle production stage are called middle-stage LED displays, and those with production completion times in the late production stage are called late-stage LED displays.

[0062] The number of LED displays selected from each early-stage LED display, each mid-stage LED display, and each late-stage LED display is the same. Since the production speed of LED displays is constant, the number of early-stage, mid-stage, and late-stage LED displays is also the same.

[0063] The specific process for determining whether production is abnormal, as described above, is as follows: The quality level of each test sample is obtained and compared with the required quality level for the LED display screen. When the quality level of each test sample is higher than the required quality level for the LED display screen, production is normal. If there are test samples with a quality level lower than the required quality level for the LED display screen, these samples are referred to as marked test samples. The proportion of marked test samples is calculated and compared with a preset proportion threshold. If the proportion of marked test samples is less than the preset proportion threshold, production is normal; if the proportion of marked test samples is less than the preset proportion threshold, production is abnormal.

[0064] It should be noted that the preset percentage threshold is a critical value used to determine whether production is abnormal. The quality pass rate of each historical LED display production when production is normal is obtained and compared, and the lowest pass rate is used as the preset percentage threshold.

[0065] S4. Warning: Issues a warning when there is an abnormality in the production of the LED display screen.

[0066] Please see Figure 2 As shown, the present invention provides a testing system based on LED display production, including: a data acquisition module for obtaining LED display orders from a database, obtaining the usage scenarios of LED displays from the orders, and obtaining LED beads and modules of different quality grades from LED beads and module raw materials.

[0067] The simulation production and analysis module is used to randomly combine LED beads and modules of different quality grades to obtain raw material groups, build simulation models, obtain simulated LED displays of each raw material group through simulation models, analyze the quality grade of each simulated LED display of each raw material group, and obtain the process parameter values ​​of each production link.

[0068] The production testing module is used to test the process parameters of each stage of LED display production, adjust the process parameters of each stage, select test samples from each LED display produced, test the color display stability of each test sample, and analyze whether there are any abnormalities in the production of LED displays.

[0069] The early warning module is used to issue warnings when there are production abnormalities in the LED display screen.

[0070] The database is used to store LED display orders, the RGB values ​​of the colors required for each simulated LED display in each raw material group, the cost of LED beads of different quality grades, and the cost of modules of different quality grades.

[0071] This invention randomly combines LED chips and modules of different quality grades to obtain raw material groups, and constructs simulation models to obtain simulated LED displays for each raw material group under different combinations of process parameter values. A testing environment is built, and each simulated LED display for each raw material group is tested and analyzed within this environment. The required LED chips and modules for this production, as well as the standard values ​​of each process parameter in each production stage, are obtained. The process parameter values ​​for each production stage are tested and adjusted. Test samples are selected from each production stage to determine if production is abnormal. If an abnormality is detected, an early warning is issued. This ensures the effectiveness of process parameter settings and adjustments, the accuracy of LED display quality testing, the representativeness of test samples, and the accuracy of production anomaly analysis.

[0072] The above description 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 in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A detection method based on LED display screen production, characterized in that, Includes the following steps: S1. Data Acquisition: Obtain LED display orders from the database, and obtain the usage scenarios of LED displays from the orders. At the same time, obtain LED chips and modules of different quality grades from the raw materials of LED chips and modules. S2. Simulation Production and Analysis: Randomly combine LED beads and modules of different quality grades to obtain raw material groups, and construct simulation models. Use the simulation models to obtain simulated LED displays for each raw material group, analyze the quality grade of each simulated LED display for each raw material group, and obtain the values ​​of each process parameter in each production stage. The specific process is as follows: Randomly select one LED bead and one module from each LED bead and module of different quality grades to combine to obtain raw material groups, and construct simulation models. In the simulation models, by controlling the values ​​of each process parameter in each production stage, obtain the simulated LED displays of each raw material group with the combination of each process parameter value, and refer to them as each simulated LED display of each raw material group. Set up a testing environment, input different electrical signals to each simulated LED display screen of each raw material group in the testing environment, analyze the quality level of each simulated LED display screen of each raw material group, and at the same time obtain the quality level of the LED beads and the quality level of the module required for the production of LED display screen, as well as the standard values ​​of each process parameter of each production link. The specific process of setting up the testing environment is as follows: obtain the usage scenario of the LED display screen, obtain the real-time power consumption and power supply of the usage scenario, and obtain the real-time power consumption-power supply line graph of the usage scenario. Based on the real-time power consumption-power supply line graph, set the real-time power transmission and power supply of the power supply in the testing environment. At the same time, obtain the light parameter values ​​of the usage scenario in each time period according to the preset duration threshold, and set the light of the testing environment in each time period based on the light parameter values ​​of each time period. The standard values ​​of the raw materials and process parameters required for the production of the LED display screen are obtained as follows: The quality grade of each simulated LED display screen in each raw material group and the process parameter values ​​used in each simulated LED display screen in each raw material group are mapped to obtain the relationship diagram of the quality grade-process parameter value combination of each raw material group. The cost of each raw material group is obtained, and the raw material group with the lowest cost is called the marked raw material group. The quality grade of the LED chips and the quality grade of the module in the marked raw material group are used as the quality grade of the LED chips and the quality grade of the module required for the production of the LED display screen. Obtain the required quality grade of the LED display from the LED display order. At the same time, obtain the combination of process parameter values ​​required for this production from the relationship diagram of the quality grade of the marked raw material group and the process parameter value combination. Randomly select a process parameter value combination and use the process parameter values ​​of each production stage in the process parameter value combination as the standard values ​​of each process parameter in each production stage of this LED display production. S3. Production Inspection: Inspect the process parameters of each production stage of the LED display screen, adjust the process parameters of each production stage, and select test samples from each LED display screen produced to test the color display stability of each test sample and analyze whether the production of the LED display screen is abnormal. S4. Warning: Issues a warning when there is an abnormality in the production of the LED display screen.

2. The detection method based on LED display screen production according to claim 1, characterized in that, The specific process for analyzing the quality level of each simulated LED display screen in each raw material group is as follows: During different time periods in the testing environment, different electrical signals are input to each simulated LED display screen of each raw material group, and each electrical signal has the same input duration. During the input duration, the RGB values ​​and screen contrast of each simulated LED display screen of each raw material group at each input moment are collected, the color display stability of each simulated LED display screen of each raw material group is analyzed, and the minimum screen contrast of each simulated LED display screen of each raw material group is obtained. Based on the color display stability and minimum screen contrast of each simulated LED display screen in each raw material group, the quality index of each simulated LED display screen in each raw material group is obtained. When the quality index is 1, it represents the quality level 1; when the quality index is 2, it represents the quality level 2; when the quality index is 3, it represents the quality level 3; and when the quality index is 4, it represents the quality level 4. The quality level of each simulated LED display screen in each raw material group is obtained by this method.

3. The detection method for LED display screen production according to claim 2, characterized in that, The analysis of the color display stability of each simulated LED display screen for each raw material group is carried out in the following specific process: Obtain the RGB values ​​of the colors displayed by each simulated LED display screen of each raw material group at each input time under different electrical signals in each time period, and obtain the RGB values ​​of the colors to be displayed by each simulated LED display screen of each raw material group from the database. Calculate the color deviation of each simulated LED display screen of each raw material group at each input time under different electrical signals in each time period, and compare and select the maximum color deviation of each simulated LED display screen of each raw material group. The maximum color deviation value of each simulated LED display screen in each material group is compared with a preset color deviation value threshold. If the maximum color deviation value of a simulated LED display screen in a certain material group is greater than the preset color deviation value threshold, it means that the color display stability of the simulated LED display screen in that material group is poor. If the maximum color deviation value of a simulated LED display screen in a certain material group is less than the preset color deviation value threshold, it means that the color display stability of the simulated LED display screen in that material group is good. The color display stability of each simulated LED display screen in each material group is obtained by this method.

4. The detection method for LED display screen production based on claim 1, characterized in that, The specific process for production testing is as follows: Obtain the values ​​of each process parameter in each production stage on the production line and compare them with the standard values ​​of each process parameter in each production stage. If there are process parameters whose values ​​are different from the standard values, adjust their values ​​to the standard values ​​and proceed with production. If there are no process parameters whose values ​​are different from the standard values, proceed with production. After the preset production time, each test sample is selected from the completed LED displays, and the quality level of each test sample is analyzed. Based on the quality level of each test sample, it is determined whether the production is abnormal.

5. The testing method based on LED display screen production according to claim 4, characterized in that, The specific process for selecting each test sample is as follows: Each completed LED display screen is referred to as a marked LED display screen. The production completion time of each marked LED display screen is obtained, and the preset production time is divided into the early production stage, the middle production stage, and the late production stage. At the same time, each early LED display screen, each middle LED display screen, and each late LED display screen are obtained. The same number of LED display screens are randomly selected from each early LED display screen, each middle LED display screen, and each late LED display screen. Each selected LED display screen is referred to as a test sample.

6. The detection method for LED display screen production based on claim 4, characterized in that, The specific process for determining whether production is abnormal is as follows: The quality grade of each test sample is obtained and compared with the required quality grade of the LED display screen. When the quality grade of each test sample is higher than the required quality grade of the LED display screen, it indicates normal production. If there is a test sample with a quality grade lower than the required quality grade of the LED display screen, it is called a marked test sample. The proportion of marked test samples is calculated and compared with a preset proportion threshold. If the proportion of marked test samples is less than the preset proportion threshold, it indicates normal production. If the proportion of marked test samples is less than the preset proportion threshold, it indicates abnormal production.

7. A detection system for performing the detection method according to any one of claims 1 to 6 for the production of LED-based display screens, characterized in that it comprises: include: The data acquisition module is used to retrieve LED display orders from the database, obtain the usage scenarios of LED displays from the orders, and obtain LED chips and modules of different quality grades from the LED chip and module raw materials. The simulation production and analysis module is used to randomly combine LED beads and modules of different quality grades to obtain raw material groups, and to build simulation models. Through the simulation models, simulated LED displays of each raw material group are obtained, the quality grade of each simulated LED display of each raw material group is analyzed, and the process parameter values ​​of each production stage are obtained. The specific process is as follows: one LED bead and one module are randomly selected from each LED bead and module of different quality grades to be combined to obtain raw material groups, and a simulation model is built. In the simulation model, by controlling the process parameter values ​​of each production stage, the simulated LED displays of each raw material group with the process parameter values ​​are obtained, and these are referred to as the simulated LED displays of each raw material group. Set up a testing environment, input different electrical signals to each simulated LED display screen of each raw material group in the testing environment, analyze the quality level of each simulated LED display screen of each raw material group, and at the same time obtain the quality level of the LED beads and the quality level of the module required for the production of LED display screen, as well as the standard values ​​of each process parameter of each production link. The specific process of setting up the testing environment is as follows: obtain the usage scenario of the LED display screen, obtain the real-time power consumption and power supply of the usage scenario, and obtain the real-time power consumption-power supply line graph of the usage scenario. Based on the real-time power consumption-power supply line graph, set the real-time power transmission and power supply of the power supply in the testing environment. At the same time, obtain the light parameter values ​​of the usage scenario in each time period according to the preset duration threshold, and set the light of the testing environment in each time period based on the light parameter values ​​of each time period. The standard values ​​of the raw materials and process parameters required for the production of the LED display screen are obtained as follows: The quality grade of each simulated LED display screen in each raw material group and the process parameter values ​​used in each simulated LED display screen in each raw material group are mapped to obtain the relationship diagram of the quality grade-process parameter value combination of each raw material group. The cost of each raw material group is obtained, and the raw material group with the lowest cost is called the marked raw material group. The quality grade of the LED chips and the quality grade of the module in the marked raw material group are used as the quality grade of the LED chips and the quality grade of the module required for the production of the LED display screen. Obtain the required quality grade of the LED display from the LED display order. At the same time, obtain the combination of process parameter values ​​required for this production from the relationship diagram of the quality grade of the marked raw material group and the process parameter value combination. Randomly select a process parameter value combination and use the process parameter values ​​of each production stage in the process parameter value combination as the standard values ​​of each process parameter in each production stage of this LED display production. The production testing module is used to test the process parameters of each stage of LED display production, and adjust the process parameters of each stage. At the same time, it selects test samples from each LED display produced to test the color display stability of each test sample and analyze whether the production of the LED display is abnormal. The early warning module is used to issue warnings when there are production abnormalities in LED displays. The database is used to store LED display orders, the RGB values ​​of the colors required for each simulated LED display in each raw material group, the cost of LED beads of different quality grades, and the cost of modules of different quality grades.

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