Tablet computer screen intelligent detection and dynamic management system based on data analysis

Abstract

The invention relates to the technical field of industrial detection, and particularly discloses an intelligent detection and dynamic management system for a tablet computer screen based on data analysis, which comprises the following steps of: firstly, respectively detecting the appearance, image and electricity of the tablet computer screen based on an intelligent detection module; and then the appearance quality, the image quality and the electrical quality of the screen are evaluated according to the detected appearance parameters, the detected image parameters and the detected electrical parameters respectively, and the service life of the screen is predicted according to the evaluation result, so that the screens in stock are classified and managed according to the performance evaluation result of the screen, and the detection accuracy and efficiency are improved. And reasonable allocation and effective maintenance of screen resources are realized.

Description

Technical Field

[0001] The present invention relates to the field of industrial detection technology, and in particular to an intelligent detection and dynamic management system for tablet computer screens based on data analysis. Background Art

[0002] With the widespread use of tablet computers, the quality of their screens directly impacts user experience and product reputation. Currently, tablet screen inspections mostly rely on manual visual inspection or simple automated equipment. Manual inspections are inefficient and susceptible to subjective factors, leading to inaccurate test results. Simple automated equipment, on the other hand, has limited functionality and struggles to comprehensively detect a wide range of screen defects. Furthermore, there is a lack of effective dynamic management mechanisms for screen management, making it impossible to rationally schedule and maintain screens based on usage and test results. This results in wasted resources and can impact product delivery due to screen failures. Therefore, there is an urgent need for a system that can intelligently inspect and dynamically manage tablet screens to improve inspection accuracy and management efficiency. Summary of the Invention

[0003] The purpose of this invention is to provide a tablet computer screen intelligent detection and dynamic management system based on data analysis to solve the above technical problems:

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] The tablet computer screen intelligent detection and dynamic management system based on data analysis is characterized in that the system includes an intelligent detection module, a data processing module, a data analysis module and a dynamic management module;

[0006] The intelligent detection module includes an optical detection unit, a display detection unit, and an electrical detection unit, and is used to perform a comprehensive inspection of the tablet computer screen;

[0007] The data processing module is used to receive the raw data from the intelligent detection module and clean, integrate and process it;

[0008] The data analysis module is used to receive the data processed by the data processing module, perform in-depth analysis on the data, and perform performance evaluation on the tablet computer screen based on the analysis results;

[0009] The dynamic management module is used to classify and manage the screens in inventory and perform corresponding production scheduling management based on the performance evaluation results of the screens.

[0010] As a further description of the technical solution of the present invention, the optical detection unit uses a high-resolution camera to detect the appearance of the screen and collect screen appearance parameters, wherein the screen appearance parameters include the number and size of scratches, stains, bright spots and dark spots;

[0011] The display detection unit inputs a variety of test images and video signals to the screen and collects screen image parameters, including color reproduction, contrast, and brightness uniformity;

[0012] The electrical detection unit uses high-precision electrical measuring instruments to collect screen electrical parameters, which include driving voltage, current and power consumption.

[0013] As a further description of the technical solution of the present invention, the working process of the system includes:

[0014] Step S1, performing performance evaluation on the tablet computer screen based on screen appearance parameters, screen image parameters, and screen electrical parameters respectively;

[0015] Step S2: predicting the service life of the screen based on the evaluation result of step S1;

[0016] Step S3: Classify and manage the screens in stock based on the test results and performance evaluation data of the screens.

[0017] As a further description of the technical solution of the present invention, the working process of step S1 includes:

[0018] Evaluate the appearance quality of the screen and obtain the number of scratches, stains, bright spots and dark spots, as well as the area of ​​scratches, stains, bright spots and dark spots.

[0019] Construct a calculation model for quantitative evaluation of appearance defects, the expression is:

[0020] ;

[0021] Where, is the screen appearance defect coefficient, scratches, stains, bright spots and dark spots correspond to i=1, 2, 3 and 4 respectively, are the weight coefficients corresponding to different appearance defects, is the number of different appearance defects, is the area of ​​different appearance defects, It is a composite function that reflects the impact of the marginal effect of quantity or area on the screen appearance defect coefficient;

[0022] According to the screen appearance defect coefficient The screen appearance quality is divided into three levels: excellent, qualified, and unqualified.

[0023] As a further description of the technical solution of the present invention, the working process of step S1 also includes:

[0024] Evaluate the display quality of the screen to obtain the screen's color reproduction, contrast, and brightness uniformity;

[0025] Construct a quantitative evaluation calculation model for display defects, the expression is:

[0026] ;

[0027] Where, is the screen image defect coefficient, It is the geometric mean of color reproduction, contrast and brightness uniformity, emphasizing the joint effect of each index. is the coefficient of variation, which measures the degree of dispersion of color reproduction, contrast and brightness uniformity;

[0028] According to the screen image defect coefficient The screen display quality is divided into three levels: excellent, qualified, and unqualified.

[0029] As a further description of the technical solution of the present invention, the working process of step S1 also includes:

[0030] Evaluate the electrical quality of the screen and obtain the screen's driving voltage, current, and power consumption;

[0031] Construct a calculation model for quantitative evaluation of electrical defects, the expression is:

[0032] ;

[0033] Where Q is the electrical quality defect coefficient of the screen, It is the geometric mean of driving voltage, current and power consumption, emphasizing the joint effect of each indicator. is the coefficient of variation, which measures the degree of dispersion of driving voltage, current and power consumption;

[0034] According to the screen image defect coefficient The size of the screen is used to divide the electrical quality of the screen into three levels: excellent, qualified, and unqualified.

[0035] As a further description of the technical solution of the present invention, the working process of step S2 includes:

[0036] Get the theoretical maximum lifespan of the screen , construct the screen life prediction calculation model, the expression is:

[0037] ;

[0038] Where, Predicting the lifespan of the screen, 、 and They are the weight coefficients corresponding to the screen appearance defect coefficient, screen image defect coefficient and screen electrical defect coefficient respectively.

[0039] As a further description of the technical solution of the present invention, the working process of step S3 includes:

[0040] If any of the screen appearance quality, screen display quality and screen electrical quality is unqualified, the screen quality is judged to be unqualified, and the unqualified screen will be isolated;

[0041] If the screen appearance quality, screen display quality and screen electrical quality are all excellent, the screen quality is considered excellent, and screens with excellent quality will be used first;

[0042] If none of the screen appearance quality, screen display quality and screen electrical quality are unqualified, and not all are excellent, it is judged that the screen quality has minor defects but does not affect normal use. Screens with minor quality defects that do not affect normal use will be marked and corresponding treatment plans will be formulated.

[0043] Beneficial effects of the present invention:

[0044] 1. This invention uses the intelligent detection module's multiple detection units to conduct comprehensive and accurate inspections of tablet computer screens, avoiding the subjectivity of manual inspections and the limitations of simple automated equipment inspections, thereby improving inspection accuracy. Furthermore, the intelligent detection module's automated inspection process significantly improves inspection efficiency and reduces inspection time and labor costs.

[0045] 2. The data analysis module conducts in-depth analysis of collected data and predicts screen lifespans, providing a scientific basis for decision-making in the dynamic management module. The dynamic management module dynamically adjusts inventory management based on the actual conditions of the screens. For screens with shorter lifespans, inventory can be appropriately reduced to avoid inventory backlogs caused by screen aging and performance degradation, reducing storage costs and the risk of inventory depreciation. For screens with longer lifespans, inventory can be appropriately increased to ensure continuity of production and market supply, improve inventory turnover and capital utilization efficiency, and achieve the rational allocation and effective maintenance of screen resources, thereby improving resource utilization and reducing production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below with reference to the accompanying drawings.

[0047] Figure 1 It is a structural diagram of the tablet computer screen intelligent detection and dynamic management system based on data analysis of the present invention. DETAILED DESCRIPTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0049] See also Figure 1 As shown, the present invention provides a tablet computer screen intelligent detection and dynamic management system based on data analysis, characterized in that the system includes an intelligent detection module, a data processing module, a data analysis module and a dynamic management module;

[0050] The intelligent detection module includes an optical detection unit, a display detection unit, and an electrical detection unit, and is used to perform a comprehensive inspection of the tablet computer screen;

[0051] The data processing module is used to receive the raw data from the intelligent detection module and clean, integrate and process it;

[0052] The data analysis module is used to receive the data processed by the data processing module, perform in-depth analysis on the data, and perform performance evaluation on the tablet computer screen based on the analysis results;

[0053] The dynamic management module is used to classify and manage the screens in inventory and perform corresponding production scheduling management based on the performance evaluation results of the screens.

[0054] Through the above technical solution, the present invention provides an intelligent detection and dynamic management system for tablet computer screens based on data analysis. First, the appearance, image and electrical properties of the tablet computer screen are detected respectively based on the intelligent detection module, and then the appearance quality, image quality and electrical quality of the screen are evaluated respectively according to the detected appearance parameters, image parameters and electrical parameters, and the life of the screen is predicted according to the evaluation results. It is used to classify and manage the screens in the inventory according to the performance evaluation results of the screen, improve the accuracy and efficiency of the detection, and realize the rational allocation and effective maintenance of screen resources.

[0055] The optical inspection unit uses a high-resolution camera to inspect the appearance of the screen and collect screen appearance parameters, including the number and size of scratches, stains, bright spots, and dark spots;

[0056] The display detection unit inputs a variety of test images and video signals to the screen and collects screen image parameters, including color reproduction, contrast, and brightness uniformity;

[0057] The electrical detection unit uses high-precision electrical measuring instruments to collect screen electrical parameters, which include driving voltage, current and power consumption.

[0058] Through the above scheme, this embodiment provides a screen performance testing method. The intelligent detection module includes an optical detection unit, a display detection unit, and an electrical detection unit, which are used to comprehensively test the tablet computer screen. The optical detection unit uses a high-resolution camera to detect the screen's appearance and collect screen appearance parameters, including the number and size of scratches, stains, bright spots, and dark spots. In actual operation, the resolution of the high-resolution camera should not be lower than the set pixel to ensure that subtle appearance defects can be clearly captured. The display detection unit inputs multiple test images and video signals to the screen and collects screen image parameters, including color reproduction, contrast, and brightness uniformity. The test images and video signals should cover a variety of common color, brightness, and contrast scenarios to comprehensively test the screen's display performance. The electrical detection unit uses high-precision electrical measuring instruments to collect screen electrical parameters, including drive voltage, current, and power consumption. The accuracy of high-precision electrical measuring instruments should meet industry standards.

[0059] The working process of the system includes:

[0060] Step S1, performing performance evaluation on the tablet computer screen based on screen appearance parameters, screen image parameters, and screen electrical parameters respectively;

[0061] Step S2: predicting the service life of the screen based on the evaluation result of step S1;

[0062] Step S3: Classify and manage the screens in stock based on the test results and performance evaluation data of the screens.

[0063] The working process of step S1 includes:

[0064] Evaluate the appearance quality of the screen and obtain the number of scratches, stains, bright spots and dark spots, as well as the area of ​​scratches, stains, bright spots and dark spots.

[0065] Construct a calculation model for quantitative evaluation of appearance defects, the expression is:

[0066] ;

[0067] Where, is the screen appearance defect coefficient, scratches, stains, bright spots and dark spots correspond to i=1, 2, 3 and 4 respectively, are the weight coefficients corresponding to different appearance defects, is the number of different appearance defects, is the area of ​​different appearance defects, It is a composite function that reflects the impact of the marginal effect of quantity or area on the screen appearance defect coefficient;

[0068] According to the screen appearance defect coefficient The screen appearance quality is divided into three levels: excellent, qualified, and unqualified.

[0069] Through the above technical solution, this embodiment provides a method for evaluating the appearance quality of the screen, obtaining the number of scratches, stains, bright spots and dark spots, as well as the area of ​​scratches, stains, bright spots and dark spots. A calculation model for quantitative evaluation of appearance defects is constructed, and the expression is: , according to the screen appearance defect coefficient The screen appearance quality is divided into excellent ( <[Excellent Threshold]), Qualified ([Qualified Lower Threshold] ≤ ≤[qualified upper threshold]), unqualified ( > [failure threshold]) three levels.

[0070] It should be noted that It can be a simple linear function or a more complex nonlinear function, such as a square root function or a logarithmic function, depending on the specific experimental data and experience.

[0071] The working process of step S1 also includes:

[0072] Evaluate the display quality of the screen to obtain the screen's color reproduction, contrast, and brightness uniformity;

[0073] Construct a quantitative evaluation calculation model for display defects, the expression is:

[0074] ;

[0075] Where, is the screen image defect coefficient, It is the geometric mean of color reproduction, contrast and brightness uniformity, emphasizing the joint effect of each index. is the coefficient of variation, which measures the degree of dispersion of color reproduction, contrast and brightness uniformity;

[0076] According to the screen image defect coefficient The screen display quality is divided into three levels: excellent, qualified, and unqualified.

[0077] In order to comprehensively consider the synergistic effect of various indicators, the geometric mean of color reproduction, contrast, and brightness uniformity is calculated first. ,in, For color reproduction, is the contrast, is brightness uniformity;

[0078] In order to measure the influence of the discrete degree of each index on the screen image quality, the coefficient of variation of color reproduction, contrast and brightness uniformity is calculated. The average values ​​of color reproduction, contrast and brightness uniformity are calculated first. , and then calculate the standard deviation of restoration degree, contrast, and brightness uniformity, , the coefficient of variation is .

[0079] Through the above technical solution, the coefficient of variation It measures the degree of dispersion of the color reproduction, contrast, and brightness uniformity. The larger the value, the greater the difference between these indicators, that is, the worse the stability and balance of the screen image quality. Screen image quality hopes that all indicators are as balanced as possible and at a good level, so it is necessary to convert the coefficient of variation into a form that is positively correlated with image quality. Subtracting the coefficient of variation from 1 will make the resulting value positively correlated with screen image quality, that is The larger the value, the smaller the discreteness between indicators and the better the screen image quality.

[0080] Screen image quality isn't determined by any single metric—color reproduction, contrast, or brightness uniformity—but rather by the interplay of multiple indicators. The geometric mean, by multiplying these three indicators and taking the square root, comprehensively reflects their synergistic relationship. A low value for any one metric significantly impacts the resulting geometric mean.

[0081] Will and The image quality coefficient obtained by multiplication is a comprehensive evaluation of the screen image quality from two dimensions. Ensures the impact of the overall level of indicators on quality, The influence of the discrete degree of indicators is corrected, and the combination of the two can more comprehensively and accurately evaluate the screen image quality.

[0082] The working process of step S1 also includes:

[0083] Evaluate the electrical quality of the screen and obtain the screen's driving voltage, current, and power consumption;

[0084] Construct a calculation model for quantitative evaluation of electrical defects, the expression is:

[0085] ;

[0086] Where Q is the electrical quality defect coefficient of the screen, It is the geometric mean of driving voltage, current and power consumption, emphasizing the joint effect of each indicator. is the coefficient of variation, which measures the degree of dispersion of driving voltage, current and power consumption;

[0087] According to the screen image defect coefficient The size of the screen is used to divide the electrical quality of the screen into three levels: excellent, qualified, and unqualified.

[0088] In order to comprehensively consider the synergistic effect of the three indicators of driving voltage, current and power consumption, the geometric mean of these three indicators is calculated first. ,in, is the driving voltage, is the current, is the power consumption;

[0089] In order to measure the influence of the discrete degree of each index on the screen image quality, the coefficient of variation of the driving voltage, current and power consumption is calculated. The average values ​​of the driving voltage, current and power consumption are calculated first. , and then calculate the standard deviation of the mean values ​​of driving voltage, current and power consumption, , the coefficient of variation is .

[0090] Through the above technical solution, the coefficient of variation It measures the discreteness of the driving voltage, current and power consumption. The larger the value, the greater the difference between these indicators, that is, the worse the stability and balance of the screen's electrical quality. The electrical quality of the screen hopes that all indicators are as balanced as possible and at a good level, so it is necessary to convert the coefficient of variation into a form that is positively correlated with the electrical quality. Subtracting the coefficient of variation from 1 will make the resulting value positively correlated with the screen's electrical quality, that is The larger the value, the smaller the discreteness between indicators and the better the electrical quality of the screen.

[0091] The electrical quality of a display isn't determined by any single indicator—drive voltage, current, or power consumption—but rather by the interaction of multiple indicators. The geometric mean, by multiplying these three indicators and taking the square root, comprehensively reflects their synergistic relationship. A low value for any one indicator significantly impacts the resulting geometric mean.

[0092] Will and The electrical quality coefficient is obtained by multiplication, which comprehensively evaluates the electrical quality of the screen from two dimensions. Ensures the impact of the overall level of indicators on quality, The influence of the discrete degree of indicators is corrected, and the combination of the two can more comprehensively and accurately evaluate the screen image quality.

[0093] The working process of step S2 includes:

[0094] Get the theoretical maximum lifespan of the screen , construct the screen life prediction calculation model, the expression is:

[0095] ;

[0096] Where, Predicting the lifespan of the screen, 、 and They are the weight coefficients corresponding to the screen appearance defect coefficient, screen image defect coefficient and screen electrical defect coefficient respectively.

[0097] Through the above technical solution, this embodiment provides a screen life prediction method, first obtaining the theoretical maximum life value of the screen This value is usually determined by the screen manufacturer based on the screen's material properties, design specifications, and accelerated aging tests. The theoretical maximum lifespan of different screen models will vary. For example, a screen made of new organic materials may have a higher theoretical maximum lifespan than a screen made of traditional materials. A screen with high resolution and a high refresh rate may also have a different theoretical maximum lifespan from an ordinary screen due to factors such as its energy consumption during operation and the switching frequency of pixels. Build a screen prediction lifespan calculation model , calculate the predicted lifespan.

[0098] It should be noted that the determination of the weight coefficient is crucial, as it reflects the differences in the degree to which different defect factors affect the life of the screen. When determining these weight coefficients, it is necessary to comprehensively consider various factors and conduct statistical analysis through a large amount of experimental data and actual usage. For example, a certain number of tablet screens from different batches and different production times can be selected, and long-term tests can be carried out in a simulated actual use environment to record the changes in various performance indicators of the screen over time and the time when the failure occurs. Through in-depth analysis of these data, mathematical methods such as multivariate linear regression and hierarchical analysis are used to determine the values ​​of each weight coefficient. For tablet computers with display function as the core selling point, the display quality of the screen has a greater impact on the user experience, so the weight coefficient corresponding to the screen image defect coefficient is It may be relatively high; for some tablet computers with strict power consumption requirements, the weight coefficient corresponding to the screen electrical defect coefficient It might be more valued.

[0099] The working process of step S3 includes:

[0100] If any of the screen appearance quality, screen display quality and screen electrical quality is unqualified, the screen quality is judged to be unqualified, and the unqualified screen will be isolated;

[0101] If the screen appearance quality, screen display quality and screen electrical quality are all excellent, the screen quality is considered excellent, and screens with excellent quality will be used first;

[0102] If none of the screen appearance quality, screen display quality and screen electrical quality are unqualified, and not all are excellent, it is judged that the screen quality has minor defects but does not affect normal use. Screens with minor quality defects that do not affect normal use will be marked and corresponding treatment plans will be formulated.

[0103] It should be noted that the formulas in this application are all dimensionless and numerically calculated. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The thresholds and coefficients involved in this application are all empirical values, and are selected and set by technical personnel in this field according to actual conditions.

[0104] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. Tablet computer screen intelligent detection and dynamic management system based on data analysis, characterized by: The system includes an intelligent detection module, a data processing module, a data analysis module and a dynamic management module; The intelligent detection module includes an optical detection unit, a display detection unit, and an electrical detection unit, and is used to perform a comprehensive inspection of the tablet computer screen; The data processing module is used to receive the raw data from the intelligent detection module and clean, integrate and process it; The data analysis module is used to receive the data processed by the data processing module, perform in-depth analysis on the data, and perform performance evaluation on the tablet computer screen based on the analysis results; The dynamic management module is used to classify and manage the screens in inventory and perform corresponding production scheduling management based on the performance evaluation results of the screens.

2. The tablet computer screen intelligent detection and dynamic management system based on data analysis according to claim 1 is characterized in that: The optical inspection unit uses a high-resolution camera to inspect the appearance of the screen and collect screen appearance parameters, including the number and size of scratches, stains, bright spots, and dark spots; The display detection unit inputs a variety of test images and video signals to the screen and collects screen image parameters, including color reproduction, contrast, and brightness uniformity; The electrical detection unit uses high-precision electrical measuring instruments to collect screen electrical parameters, which include driving voltage, current and power consumption.

3. The tablet computer screen intelligent detection and dynamic management system based on data analysis according to claim 1 is characterized in that: The working process of the system includes: Step S1, performing performance evaluation on the tablet computer screen based on screen appearance parameters, screen image parameters, and screen electrical parameters respectively; Step S2: predicting the service life of the screen based on the evaluation result of step S1; Step S3: Classify and manage the screens in stock based on the test results and performance evaluation data of the screens.

4. The tablet computer screen intelligent detection and dynamic management system based on data analysis according to claim 3 is characterized in that: The working process of step S1 includes: Evaluate the appearance quality of the screen and obtain the number of scratches, stains, bright spots and dark spots, as well as the area of ​​scratches, stains, bright spots and dark spots. Construct a calculation model for quantitative evaluation of appearance defects, the expression is: ； Where, is the screen appearance defect coefficient, scratches, stains, bright spots and dark spots correspond to i=1, 2, 3 and 4 respectively. are the weight coefficients corresponding to different appearance defects, is the number of different appearance defects, is the area of ​​different appearance defects, It is a composite function that reflects the impact of the marginal effect of quantity or area on the screen appearance defect coefficient; According to the screen appearance defect coefficient The screen appearance quality is divided into three levels: excellent, qualified, and unqualified.

5. The tablet computer screen intelligent detection and dynamic management system based on data analysis according to claim 3 is characterized in that: The working process of step S1 also includes: Evaluate the display quality of the screen to obtain the screen's color reproduction, contrast, and brightness uniformity; Construct a quantitative evaluation calculation model for display defects, the expression is: ； Where, is the screen image defect coefficient, It is the geometric mean of color reproduction, contrast and brightness uniformity, emphasizing the joint effect of each index. is the coefficient of variation, which measures the degree of dispersion of color reproduction, contrast and brightness uniformity; According to the screen image defect coefficient The screen display quality is divided into three levels: excellent, qualified, and unqualified.

6. The tablet computer screen intelligent detection and dynamic management system based on data analysis according to claim 3 is characterized in that: The working process of step S1 also includes: Evaluate the electrical quality of the screen and obtain the screen's driving voltage, current, and power consumption; Construct a calculation model for quantitative evaluation of electrical defects, the expression is: ； Where Q is the electrical quality defect coefficient of the screen, It is the geometric mean of driving voltage, current and power consumption, emphasizing the joint effect of each indicator. is the coefficient of variation, which measures the degree of dispersion of driving voltage, current and power consumption; According to the screen image defect coefficient The size of the screen is used to divide the electrical quality of the screen into three levels: excellent, qualified, and unqualified.

7. The tablet computer screen intelligent detection and dynamic management system based on data analysis according to claim 3 is characterized in that: The working process of step S2 includes: Get the theoretical maximum lifespan of the screen , construct the screen life prediction calculation model, the expression is: ； Where, Predicting the lifespan of the screen, 、 and They are the weight coefficients corresponding to the screen appearance defect coefficient, screen image defect coefficient and screen electrical defect coefficient respectively.

8. The tablet computer screen intelligent detection and dynamic management system based on data analysis according to claim 3 is characterized in that: The working process of step S3 includes: If any of the screen appearance quality, screen display quality and screen electrical quality is unqualified, the screen quality is judged to be unqualified, and the unqualified screen will be isolated; If the screen appearance quality, screen display quality and screen electrical quality are all excellent, the screen quality is considered excellent, and screens with excellent quality will be used first; If none of the screen appearance quality, screen display quality and screen electrical quality are unqualified, and not all are excellent, it is judged that the screen quality has minor defects but does not affect normal use. Screens with minor quality defects that do not affect normal use will be marked and corresponding treatment plans will be formulated.

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