Detection method and system based on LED display screen production

Abstract

The invention discloses a detection method and system based on LED display screen production, and relates to the technical field of detection, lamp beads and modules of different quality grades are randomly combined to obtain raw material groups, a simulation model is constructed to obtain simulated LED display screens of the raw material groups under different technological parameter numerical value combinations, a detection environment is constructed, and the LED display screen production is completed. Detecting and analyzing each simulation LED display screen of each raw material group in a detection environment to obtain lamp beads and modules required by the production and each process parameter standard numerical value of each production link, detecting and adjusting each process parameter numerical value of each production link, selecting a detection sample from each production stage, judging whether the production is abnormal or not, and judging whether the production is abnormal or not. And if the production is abnormal, early warning is carried out, so that the effectiveness of process parameter setting and process parameter numerical value adjustment is guaranteed, the accuracy of LED display screen quality detection is also guaranteed, and the representativeness of a detection sample and the accuracy of production abnormality analysis are also guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of detection, and particularly relates to a detection method and system based on LED display screen production. BACKGROUND

[0002] LED display screens are used more and more widely, and have penetrated from traditional outdoor displays to indoor commercial displays. With the commercialization, people have higher and higher quality requirements. In the production process of the LED display screen, the quality of the lamp beads and the module and the process parameter values of each production link are key factors determining the quality of the display screen, which directly affect the display effect of the display screen.

[0003] The traditional detection method and system based on LED display screen production obtain the quality of the LED display screen produced in each previous production, and set the process parameters of each production link according to the quality of the LED display screen produced in each previous production. In the production process, the parameters of each production link are detected and adjusted. After the production is completed, a plurality of LED display screens are randomly selected, and the quality is detected by inputting different electrical signals to judge whether the production is abnormal. Obviously, the detection method and system based on LED display screen production at least have the following deficiencies: 1. The traditional detection method and system based on LED display screen production set the process parameter values of each production link through the quality of the LED display screen produced in each previous production before producing the LED display screen. The quality of the lamp beads and the module of the LED display screen are related to the LED display screen, and the process parameter values of each production link are also related to the quality of the lamp beads and the module. Therefore, the effectiveness of the process parameter setting cannot be guaranteed, and the effectiveness of the adjustment of the process parameter values cannot be guaranteed when adjusting the process parameter values.

[0004] 2. When detecting the quality of the LED display screen, the traditional detection method and system based on LED display screen production lack the influence of the light and power supply and use of the LED display screen in the use scene on the color display of the LED display screen. Therefore, the accuracy of the quality detection of the LED display screen cannot be guaranteed.

[0005] 3. When judging whether the production is abnormal, the selection of the sample in the traditional detection method and system based on LED display screen production is random. The same production stage may be selected for all the monitoring samples. The representativeness of the sample cannot be guaranteed, and the accuracy of the analysis of the production abnormality cannot be guaranteed. SUMMARY

[0006] In view of the above technical deficiencies, the purpose of the present application is to provide a detection method and system based on LED display screen production.

[0007] To solve the above technical problems, the present application adopts the following technical solutions: In a first aspect, the present application provides a detection method based on LED display screen production, comprising the following steps: S1, data acquisition: obtaining an LED display screen order from a database, and obtaining the use scene of the LED display screen from the order, and obtaining each lamp bead and each module of different quality grades from the lamp beads and module raw materials.

[0008] S2, simulation production and analysis: randomly combining each lamp bead and each module of different quality grades to obtain each raw material group, and constructing a simulation model, obtaining each simulation LED display screen of each raw material group through the simulation model, analyzing the quality grade of each simulation LED display screen of each raw material group, and obtaining each process parameter value of each production link.

[0009] S3, production detection: detecting each process parameter of each production link of the LED display screen, adjusting each process parameter of each production link, selecting each detection sample from each LED display screen produced, detecting the color display stability of each detection sample, and analyzing whether the production of the LED display screen is abnormal.

[0010] S4, early warning: early warning when the production of the LED display screen is abnormal.

[0011] In a second aspect, the present application provides a detection system based on LED display screen production, comprising the following modules: a data acquisition module for obtaining an LED display screen order from a database, and obtaining the use scene of the LED display screen from the order, and obtaining each lamp bead and each module of different quality grades from the lamp beads and module raw materials.

[0012] A simulation production and analysis module is used to randomly combine each lamp bead and each module of different quality grades to obtain each raw material group, and construct a simulation model, obtain each simulation LED display screen of each raw material group through the simulation model, analyze the quality grade of each simulation LED display screen of each raw material group, and obtain each process parameter value of each production link.

[0013] A production detection module is used to detect each process parameter of each production link of the LED display screen, adjust each process parameter of each production link, select each detection sample from each LED display screen produced, detect the color display stability of each detection sample, and analyze whether the production of the LED display screen is abnormal.

[0014] An early warning module is used to early warning when the production of the LED display screen is abnormal.

[0015] A database is used to store the LED display screen order, the RGB value of the display color required by each simulation LED display screen of each raw material group, the cost of lamp beads of different quality grades, and the cost of modules of different quality grades.

[0016] The beneficial effects of the present application are: 1. The present application provides a detection method and system based on LED display screen production, randomly combines each lamp bead and each module of different quality grades to obtain each raw material group, and constructs a simulation model to obtain the simulation LED display screen of each raw material group under different process parameter value combinations, builds a detection environment, detects and analyzes each simulation LED display screen of each raw material group in the detection environment, obtains the lamp beads and modules required for this production, and the standard values of each process parameter of each production link, detects and adjusts each process parameter value of each production link, selects detection samples from each production stage, judges whether the production is abnormal, and if the production is abnormal, an early warning is performed, which ensures the effectiveness of process parameter setting and process parameter value adjustment, also ensures the accuracy of LED display screen quality detection, and also ensures the representativeness of detection samples and the accuracy of production abnormality analysis.

[0017] 2. The present application randomly selects one lamp bead and module from each lamp bead and each module of different quality grades, respectively, to obtain each raw material group, and constructs a simulation model, in which the quality grades of each simulation LED display screen of each raw material group are analyzed by controlling the process parameter values of each production link, obtaining the simulation LED display screen of each raw material group under each process parameter value combination, building a detection environment, inputting different electrical signals to each simulation LED display screen of each raw material group in the detection environment, analyzing the quality grades of each simulation LED display screen of each raw material group, and simultaneously obtaining the quality grades of the lamp beads and modules required for this production of LED display screens, and the standard values of each process parameter of each production link, which ensures the effectiveness of process parameter setting and the effectiveness of process parameter value adjustment.

[0018] 3. The present application obtains the use scenario of the LED display screen, obtains the real-time power consumption and power supply conditions of the use scenario, and obtains the real-time power consumption-supply line graph of the use scenario, sets the real-time power transmission and power supply of the power supply in the detection environment according to the real-time power consumption-supply line graph, simultaneously sets each time period according to the preset time threshold, obtains each light parameter value of the use scenario in each time period, sets the light of the detection environment in each time period according to each light parameter value of each time period, and ensures the accuracy of LED display screen quality detection.

[0019] 4、The present application calls the completed LED display screen as each mark LED display screen, obtains the production completion time of each mark LED display screen, and divides the preset production time into the early production stage, the middle production stage and the late production stage, obtains each early LED display screen, each middle LED display screen and each late LED display screen, respectively selects the same number of LED display screens from each early LED display screen, each middle LED display screen and each late LED display screen, and calls the selected LED display screen as each detection sample, which guarantees the representativeness of the detection sample and the accuracy of the production anomaly analysis. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0021] Figure 1 The present application is a method for implementing the steps of the flowchart.

[0022] Figure 2 The present application is a system structure connection diagram. DETAILED DESCRIPTION

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

[0024] Please refer to Figure 1 The present application provides a detection method based on LED display screen production, which comprises the following steps: S1, data acquisition: obtaining LED display screen orders from a database, and obtaining the use scenarios of LED display screens from the orders, and obtaining different quality grades of each lamp bead and each module from lamp beads and module raw materials.

[0025] It should be noted that the use scenarios of LED display screens include outdoor commercial circle large screens, traffic hub advertisements, indoor conference room large screens and stage backgrounds, etc.

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

[0027] S2, simulation production and analysis: randomly combining each lamp bead and each module of different quality levels to obtain each raw material group, and constructing a simulation model to obtain each simulation LED display screen of each raw material group, analyzing the quality level of each simulation LED display screen of each raw material group, and obtaining each process parameter value of each production link.

[0028] It should be noted that the process of constructing the simulation model is as follows: first, the production of the LED display screen is disassembled into each production link, then the connection relationship between each production link is drawn using a flowchart and the quality levels of the lamp beads and modules are collected, as well as the equipment state of each production link, secondly, a discrete simulation event tool is selected, and each production link is combined according to the logical relationship, and finally the model is verified.

[0029] In one specific embodiment, the simulation production and analysis has the following specific process: randomly selecting one lamp bead and one module from each lamp bead of different quality levels and each module of different quality levels to combine to obtain each raw material group, and constructing a simulation model, in which each process parameter value of each production link is controlled to obtain the simulation LED display screen of each raw material group under each process parameter value combination, which is referred to as each simulation LED display screen of each raw material group.

[0030] It should be noted that the method of controlling each process parameter value of each production link is as follows: adjusting a certain process parameter value of a certain production link, and keeping the process parameter values of other production links and other process parameter values of the production link unchanged, and in this way, each process parameter value of each production link is controlled to obtain each process parameter value combination.

[0031] It should be noted that the process parameter value combination includes each process parameter value of each production link, and each process parameter value combination is different.

[0032] A detection environment is built, and different electrical signals are input to each simulation LED display screen of each raw material group in the detection environment to analyze the quality level of each simulation LED display screen of each raw material group, and to obtain the quality level of the lamp beads and the quality level of the modules required for producing the LED display screen this time, as well as the standard value of each process parameter of each production link.

[0033] It should be noted that inputting different electrical signals is to simulate different color display scenes, and each electrical signal includes a direct current signal, a pulse signal and a step signal, wherein the direct current signal simulates a static display scene, the pulse signal simulates a dynamic display scene, and the step signal simulates an extreme impact display scene.

[0034] In the above, the building detection environment, the specific process is as follows: obtaining the use scene of the LED display screen, obtaining the real-time power consumption and power supply of the use scene, and obtaining the real-time power consumption-supply line graph of the use scene, setting the real-time power transmission and power supply of the power supply in the detection environment according to the real-time power consumption-supply line graph, and obtaining the setting of each time period according to the preset time length threshold, obtaining each light parameter value of the use scene in each time period, and setting the light of the detection environment in each time period according to the light parameter value of each time period.

[0035] It should be noted that the staff obtains the real-time power consumption and power supply of the use scene by investigating the use scene of the LED display screen.

[0036] Among them, the preset time length threshold is a critical value for judging whether the division of time period is reasonable, the light environment of each time of the use scene is obtained, and the light environment is numbered in time sequence, the time of each time is clustered, and the minimum time is obtained. The time length is compared to the preset time length threshold.

[0037] It should be noted that each light intensity includes luminous flux, luminous intensity, beam angle, brightness and color temperature, etc., wherein the luminous flux, luminous intensity, beam angle, brightness and color temperature are obtained by using integrating sphere, goniophotometer, distribution photometer, brightness meter and spectrometer.

[0038] In the above, the quality grade of each simulation LED display screen of each raw material group is analyzed, and the specific process is as follows: in each time period of the detection environment, different electrical signals are input to each simulation LED display screen of each raw material group, and each electrical signal is input for the same time length, the RGB value and picture contrast of the color displayed by each simulation LED display screen of each raw material group at each input time are collected in the input time length, the color display stability of each simulation LED display screen of each raw material group is analyzed, and the minimum picture contrast of each simulation LED display screen of each raw material group is obtained.

[0039] It should be noted that the RGB value and picture contrast of the color displayed by each simulation LED display screen of each raw material group at each input time are collected by professional color analyzer and brightness meter.

[0040] According to the color display stability and minimum picture contrast of each simulation LED display screen of each raw material group, the quality index of each simulation LED display screen of each raw material group is obtained, when the quality index is 1, the quality grade is first grade, when the quality index is 2, the quality grade is second grade, when the quality index is 3, the quality grade is third grade, and when the quality index is 4, the quality grade is fourth grade. In this way, the quality grade of each simulation LED display screen of each raw material group is obtained.

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

[0042] When the color display stability of a certain simulation LED display screen of a certain raw material group is poor, and the minimum picture contrast is greater than the preset contrast threshold, the quality index of the simulation LED display screen of the raw material group is 2.

[0043] When the color display stability of a certain simulation LED display screen of a certain raw material group is good, and the minimum picture contrast is less than the preset contrast threshold, the quality index of the simulation LED display screen of the raw material group is 3.

[0044] When the color display stability of a certain simulation LED display screen of a certain raw material group is good, and the minimum picture contrast is greater than the preset contrast threshold, the quality index of the simulation LED display screen of the raw material group is 4.

[0045] It should be further noted that the preset contrast threshold is a critical value for judging whether the picture level is clear and the details are clear, which is set by the staff.

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

[0047] In the above, the color display stability of each simulation LED display screen of each raw material group is analyzed, and the specific process is as follows: the RGB values of the displayed colors of each simulation LED display screen of each raw material group under different electrical signals in each time period are obtained, and the RGB values of the required display colors of each simulation LED display screen of each raw material group are obtained from the database, the color deviation of each simulation LED display screen of each raw material group at each input time under different electrical signals in each time period is calculated, and the maximum color deviation of each simulation LED display screen of each raw material group is selected by comparison.

[0048] It should be noted that the difference between the RGB values of the displayed colors of each simulation LED display screen of each raw material group at each input time under different electrical signals in each time period and the RGB values of the required display colors of each simulation LED display screen of each raw material group is used as the color deviation of each simulation LED display screen of each raw material group at each input time under different electrical signals in each time period.

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

[0050] It should be noted that the preset color deviation degree is a critical value for judging whether the color displayed by the simulation LED display screen is accurate, and is set by the staff.

[0051] In the above, the standard values of the raw materials required for producing the LED display screen this time and the process parameters of each production link are obtained, and the specific process is as follows: mapping the quality grades of each simulation LED display screen of each raw material group and the process parameter value combinations used by each simulation LED display screen of each raw material group to obtain a quality grade-process parameter value combination relationship diagram of each raw material group, obtaining the cost of each raw material group, and calling the raw material group with the minimum cost as a marked raw material group, and taking the quality grade of the lamp beads and the quality grade of the module in the marked raw material group as the quality grade of the lamp beads and the quality grade of the module required for producing the LED display screen this time.

[0052] It should be noted that, for example, there are four simulation LED display screens in a certain raw material combination, the quality grade of the first simulation LED display screen is two levels and the process parameter value combination used is X, the quality grade of the second simulation LED display screen is two levels and the process parameter value combination used is Y, the quality grade of the third simulation LED display screen is three levels and the process parameter value combination used is A, and the quality grade of the fourth simulation LED display screen is three levels and the process parameter value combination used is B. Mapping the quality grades of the four simulation LED display screens of the raw material combination and the process parameter value combinations used by the four simulation LED display screens in each raw material group to obtain a quality grade-process parameter value combination relationship diagram of the raw material group: the quality grade of two levels is connected with the process parameter value combination X and the process parameter value combination Y, and the quality grade of three levels is connected with the process parameter value combination A and the process parameter value combination B. The example is only for example illustration, and the example is not the only limitation.

[0053] The quality level required by the LED display screen is obtained from the LED display screen order, and the process parameter value combination required for this production is obtained from the quality level-process parameter value combination relationship diagram of the marked raw material group. A process parameter value combination is randomly selected from the process parameter value combination, and the process parameter values of each production link in the process parameter value combination are used as the standard values of the process parameters of each production link of the LED display screen.

[0054] S3, production detection: detecting the process parameters of each production link of the LED display screen, adjusting the process parameters of each production link, selecting detection samples from the produced LED display screens, detecting the color display stability of the detection samples, and analyzing whether the production of the LED display screen is abnormal.

[0055] It should be noted that the production links of the LED display screen include PCB board pretreatment, SMT patching, and post soldering, etc. The process parameters of the PCB board pretreatment include cleaning time, cleaning temperature, and micro-etching time, etc. The process parameters of the SMT patching include scraper pressure, printing speed, and demolding speed, etc. The process parameters of the post soldering include soldering temperature and spraying amount, etc.

[0056] In a specific embodiment, the production detection has the following specific process: obtaining the process parameter values of each production link on the production line, comparing the process parameter values with the standard values of the process parameters of each production link, adjusting the values of the process parameters that are different from the standard values to the standard values if there are process parameters with different values, and producing if there are no process parameters with different values.

[0057] After the preset production duration, detection samples are selected from the produced LED display screens, and the quality level of each detection sample is analyzed to determine whether the production is abnormal according to the quality level of each detection sample.

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

[0059] In the above, the detection samples are selected as follows: the produced LED display screens are called marked LED display screens, the production completion time of each marked LED display screen is obtained, the preset production duration is divided into a preliminary production stage, a middle production stage, and a late production stage, and the same number of LED display screens are randomly selected from each preliminary LED display screen, each middle LED display screen, and each late LED display screen. The selected LED display screens are called detection samples.

[0060] It should be noted that the preset production duration is evenly divided into three duration, the duration of the front part is referred to as the early production stage, the duration of the middle part is referred to as the middle production stage, and the duration of the latter part is referred to as the late production stage.

[0061] It should also be noted that the production completion time in the early production stage is marked as each early LED display screen, the production completion time in the middle production stage is marked as each middle LED display screen, and the production completion time in the late production stage is marked as each late LED display screen.

[0062] Among them, the number of LED display screens selected from each early LED display screen, the number of LED display screens selected from each middle LED display screen, and the number of LED display screens selected from each late LED display screen are the same, and since the speed of producing LED display screens is constant, the number of early LED display screens, the number of middle LED display screens, and the number of late LED display screens are also the same.

[0063] In the above, the judgment of whether the production is abnormal is as follows: the quality grade of each detection sample is obtained and compared with the required quality grade of the LED display screen, when the quality grade of each detection sample is higher than the required quality grade of the LED display screen, it represents normal production, when there is a detection sample whose quality grade is lower than the required quality grade of the LED display screen, the detection sample whose quality grade is lower than the required quality grade of the LED display screen is referred to as each marked detection sample, and the proportion of the marked detection sample is calculated, and the proportion of the marked detection sample is compared with the preset proportion threshold, if the proportion of the marked detection sample is less than the preset proportion threshold, it represents normal production, if the proportion of the marked detection sample is less than the preset proportion threshold, it represents abnormal production.

[0064] It should be noted that the preset proportion threshold is a critical value for judging whether the production is abnormal, the quality pass rate of each production of LED display screen in the history of normal production is obtained and compared, and the smallest pass rate is taken as the preset proportion threshold.

[0065] S4, warning: when the production of the LED display screen is abnormal, warning.

[0066] Please refer to Figure 2 As shown in the figure, the present application provides a detection system based on LED display screen production, comprising: a data acquisition module for acquiring LED display screen orders from a database, and acquiring the use scene of the LED display screen from the order, and acquiring each lamp bead and each module of different quality grades from the lamp bead and module raw materials.

[0067] The simulation production and analysis module is used for randomly combining each lamp bead and each module of different quality grades to obtain each raw material group, and constructing a simulation model, obtaining each simulation LED display screen of each raw material group through the simulation model, analyzing the quality grade of each simulation LED display screen of each raw material group, and obtaining each process parameter value of each production link.

[0068] The production detection module is used for detecting each process parameter of each production link of the LED display screen, adjusting each process parameter of each production link, selecting each detection sample from each LED display screen produced, detecting the color display stability of each detection sample, and analyzing whether the production of the LED display screen is abnormal.

[0069] The early warning module is used for early warning when the production of the LED display screen is abnormal.

[0070] The database is used for storing the LED display screen order, the RGB value of the display color required by each simulation LED display screen of each raw material group, the cost of the lamp bead of different quality grades, and the cost of the module of different quality grades.

[0071] The embodiment of the application randomly combines each lamp bead and each module of different quality grades to obtain each raw material group, constructs a simulation model to obtain the simulation LED display screen of each raw material group under different process parameter value combinations, builds a detection environment, detects and analyzes each simulation LED display screen of each raw material group in the detection environment, obtains the lamp bead and the module required for this production, and the standard value of each process parameter of each production link, detects and adjusts each process parameter value of each production link, selects a detection sample from each production stage, judges whether the production is abnormal, and performs early warning if the production is abnormal, thereby ensuring the effectiveness of the process parameter setting and the process parameter value adjustment, the accuracy of the LED display screen quality detection, and the representativeness of the detection sample and the accuracy of the production abnormality analysis.

[0072] The above content is merely an example and a description of the concept of the application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as the modifications or supplements or replacements do not deviate from the concept of the application or exceed the scope defined in the specification, and should belong to the protection scope of the application.

Claims

1. A detection method based on LED display screen production, characterized in that, The method comprises the following steps: S1, data acquisition: acquiring LED display screen orders from a database, and acquiring the use scenarios of the LED display screens from the orders, and acquiring each lamp bead and each module of different quality grades from lamp bead and module raw materials; S2, simulation production and analysis: randomly combining each lamp bead and each module of different quality grades to obtain each raw material group, and constructing a simulation model to obtain each simulation LED display screen of each raw material group, analyzing the quality grades of each simulation LED display screen of each raw material group, and obtaining each process parameter value of each production link; S3, production detection: detecting each process parameter of each production link of the LED display screen, adjusting each process parameter of each production link, selecting each detection sample from each LED display screen produced, detecting the color display stability of each detection sample, and analyzing whether the production of the LED display screen is abnormal; S4, early warning: early warning when the production of the LED display screen is abnormal.

2. The detection method based on LED display screen production according to claim 1, characterized in that, The simulation production and analysis specifically comprises the following steps: Randomly selecting one lamp bead and one module from each lamp bead and each module of different quality grades to obtain each raw material group, and constructing a simulation model, in which each process parameter value of each production link is controlled to obtain a simulation LED display screen of each raw material group under the combination of each process parameter value, and the simulation LED display screen is referred to as each simulation LED display screen of each raw material group; Building a detection environment, inputting different electrical signals to each simulation LED display screen of each raw material group in the detection environment, analyzing the quality grades of each simulation LED display screen of each raw material group, and obtaining the quality grades of the lamp beads and the quality grades of the modules required for producing the LED display screen this time, and the standard values of each process parameter of each production link.

3. The detection method for LED display screen production according to claim 2, characterized in that, The building of the detection environment specifically comprises the following steps: Obtaining the use scenarios of the LED display screen, obtaining the real-time power consumption and power supply conditions of the use scenarios, obtaining the real-time power consumption-power supply line graph of the use scenarios, setting the real-time power transmission and power supply of the power supply in the detection environment according to the real-time power consumption-power supply line graph, obtaining each time period according to a preset time threshold, obtaining each light parameter value of the use scenarios in each time period, and setting the light of the detection environment in each time period according to each light parameter value of each time period.

4. The detection method for LED display screen production based on claim 2, characterized in that, The analysis of the quality grades of each simulation LED display screen of each raw material group specifically comprises the following steps: In each time period of the detection environment, inputting different electrical signals to each simulation LED display screen of each raw material group, and each electrical signal is input for the same input duration, collecting the RGB values and picture contrast of the color displayed by each simulation LED display screen of each raw material group at each input time within the input duration, analyzing the color display stability of each simulation LED display screen of each raw material group, and obtaining the minimum picture contrast of each simulation LED display screen of each raw material group; According to the color display stability and the minimum picture contrast of each simulation LED display screen of each raw material group, the quality index of each simulation LED display screen of each raw material group is obtained, when the quality index is 1, it represents that the quality level is first class, when the quality index is 2, it represents that the quality level is second class, when the quality index is 3, it represents that the quality level is third class, and when the quality index is 4, it represents that the quality level is fourth class, and in this way, the quality level of each simulation LED display screen of each raw material group is obtained.

5. The detection method for LED display screen production based on claim 4, characterized in that, The color display stability of each simulation LED display screen of each raw material group is analyzed, and the specific process is as follows: The RGB values of the displayed colors of each simulation LED display screen of each raw material group at each input time under different electrical signals in each time period are obtained, and the RGB values of the required displayed colors of each simulation LED display screen of each raw material group are obtained from the database, the color deviation of each simulation LED display screen of each raw material group at each input time under different electrical signals in each time period is calculated, and the maximum color deviation of each simulation LED display screen of each raw material group is selected by comparison; The maximum color deviation of each simulation LED display screen of each raw material group is compared with the preset color deviation threshold value, if the maximum color deviation of a simulation LED display screen of a raw material group is greater than the preset color deviation threshold value, it represents that the color display stability of the simulation LED display screen of the raw material group is poor, if the maximum color deviation of a simulation LED display screen of a raw material group is less than the preset color deviation threshold value, it represents that the color display stability of the simulation LED display screen of the raw material group is good, and in this way, the color display stability of each simulation LED display screen of each raw material group is obtained.

6. The detection method for LED display screen production based on claim 2, characterized in that, The standard values of the raw materials required for producing the LED display screen and the process parameters of each production link are obtained, and the specific process is as follows: The quality level of each simulation LED display screen of each raw material group and the process parameter value combination used by each simulation LED display screen of each raw material group are mapped to obtain a quality level-process parameter value combination relationship diagram of each raw material group, the cost of each raw material group is obtained, and the raw material group with the minimum cost is called a marked raw material group, and the quality level of the lamp beads and the quality level of the module in the marked raw material group are taken as the quality level of the lamp beads and the quality level of the module required for producing the LED display screen; The required quality level of the LED display screen is obtained from the LED display screen order, and the required process parameter value combination for this production is obtained from the quality level-process parameter value combination relationship diagram of the marked raw material group, and a process parameter value combination is randomly selected from the process parameter value combination, and the process parameter values of each production link in the process parameter value combination are taken as the standard values of the process parameters of each production link for producing the LED display screen.

7. The detection method for LED display screen production based on claim 1, characterized in that, The production detection, and the specific process is as follows: The process parameter values of each production link on the production line are acquired and compared with the standard values of the process parameters of each production link. If there is a process parameter whose value is different from the standard value, the value is adjusted to the standard value, and production is performed. If there is no process parameter whose value is different from the standard value, production is performed. After the preset production duration, each detection sample is selected from the LED display screens that have been produced, and the quality grade of each detection sample is analyzed. Whether the production is abnormal is determined according to the quality grade of each detection sample.

8. The detection method for LED display screen production based on claim 7, characterized in that, The selection of each detection sample is specifically as follows: The LED display screens that have been produced are called marked LED display screens. The production completion time of each marked LED display screen is acquired. The preset production duration is divided into a preliminary production stage, a middle production stage, and a later production stage. Meanwhile, each preliminary LED display screen, each middle LED display screen, and each later LED display screen are acquired. The same number of LED display screens are randomly selected from each preliminary LED display screen, each middle LED display screen, and each later LED display screen. The selected LED display screens are called each detection sample.

9. The detection method for LED display screen production based on claim 7, characterized in that, The determination of whether the production is abnormal is specifically as follows: The quality grade of each detection sample is acquired and compared with the required quality grade of the LED display screen. When the quality grade of each detection sample is higher than the required quality grade of the LED display screen, it represents that the production is normal. When there is a detection sample whose quality grade is lower than the required quality grade of the LED display screen, the detection sample whose quality grade is lower than the required quality grade of the LED display screen is called a marked detection sample. The proportion of the marked detection sample is calculated. The proportion of the marked detection sample is compared with a preset proportion threshold. If the proportion of the marked detection sample is less than the preset proportion threshold, it represents that the production is normal. If the proportion of the marked detection sample is less than the preset proportion threshold, it represents that the production is abnormal.

10. A detection system for performing the detection method according to any one of claims 1-9 for the production of LED-based display screens, characterized in that it comprises: It includes: The data acquisition module is used to acquire the LED display screen order from the database and acquire the use scene of the LED display screen from the order. Meanwhile, each lamp bead and each module of different quality grades are acquired from the lamp beads and module raw materials. The simulation production and analysis module is used to randomly combine each lamp bead and each module of different quality grades to obtain each raw material group. A simulation model is constructed. Each simulation LED display screen of each raw material group is acquired through the simulation model. The quality grade of each simulation LED display screen of each raw material group is analyzed. The process parameter values of each production link are acquired. The production detection module is used to detect the process parameters of each production link of the LED display screen. The process parameters of each production link are adjusted. Meanwhile, each detection sample is selected from the produced LED display screens. The color display stability of each detection sample is detected. Whether the production of the LED display screen is abnormal is analyzed. The early warning module is used to give an early warning when the production of the LED display screen is abnormal. The database is used to store the LED display screen order, the RGB value of the required display color of each simulation LED display screen of each raw material group, the cost of the lamp bead of different quality grades, and the cost of the module of different quality grades.

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