Cotton cloth design automatic evaluation system

Abstract

The invention discloses an automatic assessment system for cotton cloth design. The automatic assessment system comprises a data acquisition module, a preprocessing module, a database module, an import module, a data processing module and a data output module, the preprocessing module is used for denoising and enhancing the real-time image data; the import module is used for matching index thresholds of cotton cloth; the data processing module is used for generating an evaluation report and an opinion report; according to the method, the parameter information of the newly designed cotton cloth in different states is collected, the different parameter information is processed and analyzed to quantitatively calculate the cotton cloth design, the rationality and practicability of different parameter designs are judged, evaluation is automatically carried out, and the cotton cloth design evaluation efficiency can be effectively improved; and meanwhile, the whole process is uniform in measurement standard, so that the consistency and accuracy of evaluation can be ensured, and errors caused by human subjective judgment are avoided.

Description

Technical Field

[0001] The invention relates to the field of intelligent evaluation, and in particular to an automatic evaluation system for cotton cloth design. Background Art

[0002] Cotton design evaluation plays a vital role in ensuring that products meet market demand; it helps designers and manufacturers identify and optimize designs at an early stage to ensure that cotton products meet functionality and production feasibility requirements; at the same time, it ensures product quality, protects consumer rights, and enhances brand image and competitiveness.

[0003] In the traditional textile industry, the cotton fabric design evaluation process often relies on manual visual inspection and empirical judgment; this is not only inefficient, but also limited by personal subjective factors, making it difficult to ensure the consistency and accuracy of the evaluation; to solve this problem, an automated cotton fabric design evaluation system is proposed. Summary of the invention

[0004] The technical problem to be solved by the present invention is: how to solve the problem that the existing safety protection system has a single protection type, resulting in poor protection effect and bringing certain impacts on the use of the safety protection system, and provides an automatic evaluation system for cotton cloth design.

[0005] The present invention solves the above technical problems through the following technical solutions, which include a data acquisition module, a preprocessing module, a database module, an import module, a data processing module, and a data output module;

[0006] The data acquisition module is used to collect real-time data information of cotton cloth in different states, and the real-time data information includes real-time image data;

[0007] The preprocessing module is used to receive real-time image data and perform denoising and enhancement on the real-time image data;

[0008] The database module is used to store historical data information;

[0009] The import module is used to import the design usage data of the cotton cloth, and match the index threshold of the cotton cloth according to the usage data of the cotton cloth;

[0010] The data processing module is used to receive real-time data information, historical data information and indicator thresholds, analyze the real-time data information according to the indicator thresholds, obtain the use performance data of the cotton cloth, and generate an evaluation report; then obtain the historical data information, compare and screen the evaluation report according to the historical data information, and generate an opinion report;

[0011] The data output module is used to receive and output evaluation reports and opinion reports.

[0012] Preferably, the specific processing process of the preprocessing module is:

[0013] Import real-time image data to obtain real-time image data;

[0014] Divide the image evenly into multiple block units;

[0015] Use the multithreaded programming library to create threads;

[0016] Allocate the divided block units evenly to each thread;

[0017] In each thread, the mean filtering algorithm and the histogram equalization algorithm are applied to the assigned block units for processing;

[0018] After all threads have completed processing, the processed block units are merged into a complete image and output.

[0019] Preferably, the real-time data information also includes real-time brightness data, the evaluation report includes an excellent evaluation report and a defect evaluation report, and the generation process of the evaluation report is:

[0020] Collecting real-time image data of the cotton cloth in a natural state to obtain first cotton cloth image data;

[0021] Using a first preset unit size to segment the first cotton cloth image, the first cotton cloth image is segmented into a plurality of first sub-regions;

[0022] Count the number of warp yarns a and the number of weft yarns b in the cotton cloth to obtain the warp and weft density S = a·b of the cotton cloth;

[0023] Calculate the longitude and latitude density of each first sub-region respectively and obtain an average longitude and latitude density S of the plurality of first sub-regions;

[0024] Import the index threshold W1 of warp and weft density and evaluate the first quality E1 of warp and weft density. The specific calculation process is as follows:

[0025]

[0026] Collecting real-time impact data of the cotton cloth on the transparent carrier at a first angle, and obtaining second cotton cloth image data;

[0027] Using a second preset unit size to segment the second cotton cloth image, the second cotton cloth image is segmented into a plurality of second sub-regions;

[0028] A second sub-region is randomly obtained, real-time brightness data of the second sub-region is obtained, and the brightness difference ΔU at different positions of the second sub-region is calculated; when ΔU>preset threshold Q1, the second sub-region is segmented, and the region with small brightness data is segmented into a flat region, and the region with large brightness data is segmented into a wrinkled region;

[0029] Using a third preset unit size to divide the second sub-region into a plurality of unit rectangles;

[0030] Count the number of complete unit rectangles C1 and the number of incomplete unit rectangles C2 in the wrinkle area;

[0031] Then count the number D1 of complete unit rectangles and the number D2 of incomplete unit rectangles in the second sub-region;

[0032] The second quality E2 for evaluating the flatness of cotton cloth is calculated as follows:

[0033]

[0034] Assign a correction value r1 to the first quality E1, and then assign a correction value r2 to the second quality E2, and calculate the performance parameter F of the cotton cloth. The specific calculation process is:

[0035] F = r1·E1+r2·E2;

[0036] Among them, r1+r2=1, and r1>r2;

[0037] When the performance parameter F is less than the preset threshold value Q2, it indicates that the cotton fabric is reasonably designed and an excellent evaluation report is generated;

[0038] When the performance parameter F is used ≥ the preset threshold value Q2, it indicates that there are defects in the cotton cloth design, and a defect assessment report is generated.

[0039] Preferably, when the performance parameter F is less than the preset threshold value Q2, the evaluation process of the warp and weft density of the cotton cloth further includes:

[0040] Collecting real-time image data of the cotton cloth after the first processing to obtain third cotton cloth image data, wherein the first processing process is: polishing the cotton cloth along an arc-shaped trajectory with a friction head at a certain pressure and speed, and marking the boundary line of the arc-shaped trajectory on the cotton cloth;

[0041] Multiple unit detection areas are randomly established within the circular trajectory;

[0042] Count the number of hair balls in each unit detection area, namely M1, M2, M3, ..., Mn;

[0043] Get the average number of hair balls

[0044] When the average number of hair balls , it means that the warp and weft yarns of the cotton cloth are not arranged tightly, the cotton cloth design has defects, and a defect assessment report is generated.

[0045] Preferably, when the average number of hair balls When the real-time data information also includes real-time size data, the evaluation process of the warp and weft density of the cotton cloth also includes:

[0046] Import the third cotton cloth image data to obtain the arc trajectory;

[0047] Three reference points are randomly obtained on the outer boundary of the arc trajectory, two adjacent reference points are connected to obtain two line segments, perpendicular bisectors of the two line segments are respectively made, and the intersection point T of the two perpendicular bisectors is obtained;

[0048] Collect the dimension Lr1 from the intersection point T to the inner boundary of the arc track, and collect the dimension Lr2 from the intersection point T to the outer boundary of the arc track;

[0049] With the intersection point T as the center, an arc is made with a radius Rt = (Lr1 + Lr2) / 2 to obtain the virtual center line of the circular trajectory;

[0050] Take a point on the virtual center line as the center to establish multiple tangent standard circles of the same size. The standard circles are located within the arc trajectory.

[0051] Label the standard circles in sequence;

[0052] Create a rectangular coordinate system, with the ordinate representing the number of hair balls in the standard circle and the abscissa representing the number of the standard circle, and establish a curve graph P;

[0053] Several checkpoints are obtained continuously on the curve graph P, and the slopes K of adjacent checkpoints are calculated respectively. The specific calculation process is as follows:

[0054] K = ΔMr / ΔL;

[0055] Among them, ΔMr is the difference in the number of hair balls in two adjacent standard circles, and ΔL is the distance of the horizontal coordinates between the calibration points;

[0056] Calculate the rate of change K` of the slope K. The specific calculation process is:

[0057]

[0058] Among them, Ka and Kb are the slope values ​​of two adjacent slopes;

[0059] When the change rate K`> the preset threshold value Q4, it indicates that the density distribution of the warp and weft yarns of the cotton cloth is uneven, the cotton cloth design has defects, and a defect assessment report is generated.

[0060] Preferably, the verification point acquisition process is:

[0061] Read the curve graph P;

[0062] Make a virtual tangent line of the curve graph on the curve graph P, and mark it when the virtual tangent line is parallel to the horizontal axis;

[0063] Read the marked virtual tangent line and obtain the tangent point between the virtual tangent line and the curve graph;

[0064] The cut points are marked to generate checkpoints.

[0065] Preferably, the generation process of the evaluation report further includes:

[0066] When the purpose data is the first purpose:

[0067] Collecting real-time image data of the cotton cloth under a preset tension to obtain fourth cotton cloth image data;

[0068] Using a first preset unit size to segment the fourth cotton cloth image, the fourth cotton cloth image is segmented into a plurality of first type sub-regions;

[0069] Count the longitude and latitude densities of each first-type sub-area, and obtain the average longitude and latitude density Sr;

[0070] Calculate the deformation rate E3 of cotton cloth. The specific calculation process is:

[0071]

[0072] When the deformation rate E3>preset threshold value Q5, it indicates that there is a problem with the weaving structure of the cotton cloth and there is a defect in the design of the cotton cloth, and a defect assessment report is generated.

[0073] Preferably, the real-time data information also includes real-time dimension data, and the process of generating the evaluation report also includes:

[0074] Collecting real-time image data of the cotton cloth after it is kept under a preset tension for a preset period of time and then stored again in a natural state for a preset period of time, to obtain fifth cotton cloth image data;

[0075] Using the first preset unit size to segment the fifth cotton cloth image, the fifth cotton cloth image is segmented into a plurality of second type sub-regions;

[0076] Randomly collect the longitude and latitude densities of multiple second-type sub-areas as sample data, namely Se1, Se2, Se3, ..., Sen;

[0077] Get any longitude and latitude density Sen, when When , the latitude and longitude density is marked as abnormal data, and V is the preset standard value;

[0078] Count the number of sample data N1, and then count the number of abnormal data N2;

[0079] Use E4=N2 / N1 to calculate the abnormal data production ratio;

[0080] When the abnormal data proportion E4>the preset threshold value Q6, it indicates that there is a problem with the tensile strength of the cotton cloth and there are defects in the design of the cotton cloth, and a defect assessment report is generated.

[0081] Preferably, the real-time data information also includes real-time gas flow data, and the real-time data information also includes real-time. The generation process of the evaluation report also includes:

[0082] When the usage data is for secondary use:

[0083] Collecting real-time air flow data of the cotton cloth after the second treatment, wherein the second treatment process is: placing the sample between the upper and lower test chambers of the air permeability tester under the specified sample area, pressure drop and time conditions, and clamping to ensure sealing;

[0084] Calculate the air permeability E5 of cotton cloth. The specific calculation process is:

[0085] E5 = Lq / As × 0.167;

[0086] Among them, Lq is the air flow data, As is the test area;

[0087] When the air permeability E5 is less than the preset threshold value Q7, it indicates that there is a problem with the air permeability of the cotton cloth, there is a defect in the design of the cotton cloth, and a defect assessment report is generated.

[0088] Preferably, the process of generating the opinion report is as follows:

[0089] Read historical data information and defect assessment reports, obtain defect parameter indicators in the defect assessment report, retrieve good assessment reports in historical data, and then read parameter information in the good assessment reports; obtain first type indicator data of defect parameter indicators in the good assessment reports, and mark the first type indicator data to generate an opinion report.

[0090] Compared with the prior art, the present invention has the following advantages: the system collects parameter information of newly designed cotton cloth in different states, processes and analyzes different parameter information to quantitatively deduce the cotton cloth design, judges the rationality and practicality of different parameter designs, and automatically evaluates, which can effectively improve the efficiency of cotton cloth design evaluation; at the same time, the whole process unifies the measurement standard, which can ensure the consistency and accuracy of the evaluation and avoid errors caused by human subjective judgment; it can not only improve design efficiency and reduce labor costs; it can also promote the personalized and intelligent development of textile design, making the system more worthy of popularization and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 It is the overall module diagram of the present invention. DETAILED DESCRIPTION

[0092] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0093] like Figure 1 As shown, this embodiment provides a technical solution: a cotton cloth design automation evaluation system, including a data acquisition module, a preprocessing module, a database module, an import module, a data processing module, and a data output module;

[0094] The data acquisition module is used to collect real-time data information of cotton cloth in different states, and the real-time data information includes real-time image data;

[0095] The preprocessing module is used to receive real-time image data and perform denoising and enhancement on the real-time image data;

[0096] The database module is used to store historical data information;

[0097] The import module is used to import the design usage data of the cotton cloth, and match the index threshold of the cotton cloth according to the usage data of the cotton cloth;

[0098] The data processing module is used to receive real-time data information, historical data information and indicator thresholds, analyze the real-time data information according to the indicator thresholds, obtain the performance data of the cotton cloth, and generate an evaluation report; then obtain the historical data information, compare and screen the evaluation report according to the historical data information, and generate an opinion report;

[0099] The data output module is used to receive and output evaluation reports and opinion reports.

[0100] This system collects parameter information of newly designed cotton cloth in different states, processes and analyzes different parameter information to quantitatively deduce the cotton cloth design, judges the rationality and practicality of different parameter designs, and automatically evaluates them, which can effectively improve the efficiency of cotton cloth design evaluation; at the same time, the whole process unifies the measurement standards to ensure the consistency and accuracy of the evaluation and avoid errors caused by human subjective judgment; it can not only improve design efficiency and reduce labor costs; it can also promote the personalized and intelligent development of textile design, making the system more worthy of promotion and use.

[0101] Among them, the specific processing process of the preprocessing module is:

[0102] Import real-time image data to obtain real-time image data;

[0103] Divide the image evenly into multiple block units;

[0104] Use the multithreaded programming library to create threads;

[0105] It should be noted that the multi-threaded programming library can be C++'s std::thread module, Python's threading module, etc., which are existing technologies and will not be described in detail.

[0106] Allocate the divided block units evenly to each thread;

[0107] In each thread, the mean filtering algorithm and the histogram equalization algorithm are applied to the assigned block units for processing;

[0108] After all threads have completed processing, the processed block units are merged into a complete image and output.

[0109] The real-time data information also includes real-time brightness data, and the evaluation report includes an excellent evaluation report and a defect evaluation report. The generation process of the evaluation report is as follows:

[0110] Collecting real-time image data of the cotton cloth in a natural state to obtain first cotton cloth image data;

[0111] Using a first preset unit size to segment the first cotton cloth image, the first cotton cloth image is segmented into a plurality of first sub-regions;

[0112] Count the number of warp yarns a and the number of weft yarns b in the cotton cloth to obtain the warp and weft density S = a·b of the cotton cloth;

[0113] Calculate the longitude and latitude density of each first sub-region respectively and obtain an average longitude and latitude density S of the plurality of first sub-regions;

[0114] The greater the warp and weft density of the cotton cloth, the thicker and tighter the cotton cloth, and the higher the wear resistance and tear resistance; however, too high a warp and weft density may cause the hand feel to be hard and the air permeability to decrease, and it is generally used for keeping warm in winter; the smaller the warp and weft density, the thinner and softer the cotton cloth, and the air permeability is relatively good, and it is generally used for heat dissipation in summer; therefore, it needs to be designed reasonably according to the design purpose of the cotton cloth.

[0115] Import the index threshold W1 of warp and weft density and evaluate the first quality E1 of warp and weft density. The specific calculation process is as follows:

[0116]

[0117] It should be noted that the index threshold of warp and weft density is a relatively ideal index reference value pre-made according to historical data, which can ensure the practical performance of cotton cloth. Therefore, the closer the warp and weft density is to the index threshold, the better the practicality.

[0118] Collecting real-time impact data of the cotton cloth on the transparent carrier at a first angle, and obtaining second cotton cloth image data;

[0119] It should be noted that the first angle is to shoot the cotton cloth picture vertically upward from below the transparent plate;

[0120] Using a second preset unit size to segment the second cotton cloth image, the second cotton cloth image is segmented into a plurality of second sub-regions;

[0121] A second sub-region is randomly obtained, real-time brightness data of the second sub-region is obtained, and the brightness difference ΔU at different positions of the second sub-region is calculated; when ΔU>preset threshold Q1, the second sub-region is segmented, and the region with small brightness data is segmented into a flat region, and the region with large brightness data is segmented into a wrinkled region;

[0122] It should be noted that when the cotton cloth has wrinkles, the wrinkled part does not fit the transparent plate, and the image taken has a higher brightness than when the cotton cloth fits the transparent plate flatly.

[0123] Using a third preset unit size to divide the second sub-region into a plurality of unit rectangles;

[0124] Count the number of complete unit rectangles C1 and the number of incomplete unit rectangles C2 in the wrinkle area;

[0125] Then count the number D1 of complete unit rectangles and the number D2 of incomplete unit rectangles in the second sub-region;

[0126] The second quality E2 for evaluating the flatness of cotton cloth is calculated as follows:

[0127]

[0128] Assign a correction value r1 to the first quality E1, and then assign a correction value r2 to the second quality E2, and calculate the performance parameter F of the cotton cloth. The specific calculation process is:

[0129] F = r1·E1+r2·E2;

[0130] Among them, r1+r2=1, and r1>r2;

[0131] When the performance parameter F is less than the preset threshold value Q2, it indicates that the cotton fabric is reasonably designed and an excellent evaluation report is generated;

[0132] When the performance parameter F is used ≥ the preset threshold value Q2, it indicates that there are defects in the cotton cloth design, and a defect assessment report is generated.

[0133] In this scheme, the image data of cotton cloth is collected, the warp and weft density and flatness of the cotton cloth are estimated respectively, and then the performance of the cotton cloth is comprehensively evaluated based on the warp and weft density and flatness. An evaluation report is issued based on the performance of the cotton cloth. At the same time, the measurement standard is unified throughout the whole process, which can ensure the consistency and accuracy of the evaluation and avoid errors caused by human subjective judgment; it can improve design efficiency and reduce labor costs.

[0134] Furthermore, when the performance parameter F is less than the preset threshold value Q2, the evaluation process of the warp and weft density of the cotton cloth further includes:

[0135] The real-time image data of the cotton cloth after the first processing is collected to obtain the third cotton cloth image data, wherein the first processing process is: polishing the cotton cloth along the circular arc track with a friction head under a certain pressure and speed, and marking the boundary line of the circular arc track on the cotton cloth;

[0136] It should be noted that the arc-shaped trajectory allows the friction head to grind in different directions of the warp and weft of the cotton cloth, which can improve the representativeness and comprehensiveness of the test data;

[0137] Multiple unit detection areas are randomly established within the circular trajectory;

[0138] Count the number of hair balls in each unit detection area, namely M1, M2, M3, ..., Mn;

[0139] Get the average number of hair balls

[0140] When the average number of hair balls , it means that the warp and weft yarns of the cotton cloth are not arranged tightly, the cotton cloth design has defects, and a defect assessment report is generated.

[0141] In this solution, the pilling degree of cotton cloth is analyzed to determine whether the cotton cloth weaving structure is reasonable; when the structure of cotton cloth is loose, the gaps between fibers are large, resulting in the overall appearance of the fabric being fluffy. Cotton cloth with this structure is usually soft to the touch, but may not be strong enough, has poor wear resistance, is prone to pilling, and has poor quality; on the contrary, when the structure of cotton cloth is tight, the gaps between fibers are small, and the overall appearance of the fabric is tighter and thinner. Cotton cloth with this structure is usually stronger and more durable, and has better wrinkle resistance and crispness; the rationality of the cotton cloth weaving structure is determined by judging the number of pilling per unit area. When the cotton cloth weaving structure is unreasonable, a defect assessment report is issued to further improve the reliability of the system assessment.

[0142] The detection area in the above scheme has a certain degree of randomness and cannot reflect the structural differences of the cotton cloth in the warp and weft directions. When the number of pilling in a unit area is small, but the distribution of pilling in different areas is quite different, it indicates that the warp and weft density design of the cotton cloth is unbalanced. When polishing in different directions, the degree of damage to the cotton cloth varies greatly and the structure is unstable. When the force angle changes, it may cause greater damage to the cotton cloth. In order to improve the accuracy of the evaluation, the following further scheme is proposed:

[0143] Furthermore, when the average number of hair balls When the real-time data information also includes real-time size data, the evaluation process of the warp and weft density of cotton fabric also includes:

[0144] Import the third cotton cloth image data to obtain the arc trajectory;

[0145] Three reference points are randomly obtained on the outer boundary of the arc trajectory, two adjacent reference points are connected to obtain two line segments, perpendicular bisectors of the two line segments are respectively made, and the intersection point T of the two perpendicular bisectors is obtained;

[0146] Collect the dimension Lr1 from the intersection point T to the inner boundary of the arc track, and collect the dimension Lr2 from the intersection point T to the outer boundary of the arc track;

[0147] With the intersection point T as the center, an arc is made with a radius Rt = (Lr1 + Lr2) / 2 to obtain the virtual center line of the circular trajectory;

[0148] Take a point on the virtual center line as the center to establish multiple tangent standard circles of the same size. The standard circles are located within the arc trajectory.

[0149] Label the standard circles in sequence;

[0150] Create a rectangular coordinate system, with the ordinate representing the number of hair balls in the standard circle and the abscissa representing the number of the standard circle, and establish a curve graph P;

[0151] Several checkpoints are obtained continuously on the curve graph P, and the slopes K of adjacent checkpoints are calculated respectively. The specific calculation process is as follows:

[0152] K = ΔMr / ΔL;

[0153] Among them, ΔMr is the difference in the number of hair balls in two adjacent standard circles, and ΔL is the distance of the horizontal coordinates between the calibration points;

[0154] Calculate the rate of change K` of the slope K. The specific calculation process is:

[0155]

[0156] Among them, Ka and Kb are the slope values ​​of two adjacent slopes;

[0157] When the change rate K`> the preset threshold value Q4, it indicates that the density distribution of the warp and weft yarns of the cotton cloth is uneven, the cotton cloth design has defects, and a defect assessment report is generated.

[0158] In this technical solution, a curve graph of the number and position of hair balls is established, verification points are obtained at different positions, the slope between adjacent verification points is calculated, and the growth rate of hair balls between adjacent verification points is determined; the rate of change between different slopes can be used to determine the fragility of different positions of the cotton cloth, and the greater the rate of change, the more susceptible the corresponding position is to damage; at the same time, it can reflect whether the warp and weft yarns of the cotton cloth are balanced. When unbalanced, it can be determined that the cotton cloth design is unreasonable, which can further improve the comprehensiveness and reliability of the system evaluation.

[0159] The process of obtaining the checkpoints is as follows:

[0160] Read the curve graph P;

[0161] Make a virtual tangent line of the curve graph on the curve graph P, and mark it when the virtual tangent line is parallel to the horizontal axis;

[0162] Read the marked virtual tangent line and obtain the tangent point between the virtual tangent line and the curve graph;

[0163] The cut points are marked to generate checkpoints.

[0164] By screening out the inflection points on the curve graph, which represent the extreme values ​​of the area, the rate of change of the hypotenuse in each detection point can be more accurately evaluated, thus improving the judgment accuracy of the system.

[0165] The evaluation report generation process also includes:

[0166] When the use data is the first use, the first use is heat dissipation in summer;

[0167] Collecting real-time image data of the cotton cloth under a preset tension to obtain fourth cotton cloth image data;

[0168] Using a first preset unit size to segment the fourth cotton cloth image, the fourth cotton cloth image is segmented into a plurality of first type sub-regions;

[0169] It should be noted that the first type of area has the same size as the first area;

[0170] Count the longitude and latitude densities of each first-type sub-area, and obtain the average longitude and latitude density Sr;

[0171] Calculate the deformation rate E3 of cotton cloth. The specific calculation process is:

[0172]

[0173] When the deformation rate E3> preset threshold Q5, it means that there is a problem with the cotton fabric weaving structure and the cotton fabric design is defective, and a defect assessment report is generated.

[0174] The degree of variability of cotton cloth is determined by analyzing the warp and weft density of cotton cloth in a stretched state. When the warp and weft density in a stretched state changes greatly compared to the warp and weft density in a natural state, it indicates that the cotton cloth is volatile and the structural design is unreasonable. Feedback is provided to improve the system evaluation dimension and ensure the accuracy of the system.

[0175] The real-time data information also includes real-time dimension data, and the evaluation report generation process also includes:

[0176] Collecting real-time image data of the cotton cloth after it is kept under a preset tension for a preset period of time and then stored again in a natural state for a preset period of time, to obtain fifth cotton cloth image data;

[0177] Using the first preset unit size to segment the fifth cotton cloth image, the fifth cotton cloth image is segmented into a plurality of second type sub-regions;

[0178] It should be noted that the second type of sub-area has the same size as the first area;

[0179] Randomly collect the longitude and latitude densities of multiple second-type sub-areas as sample data, namely Se1, Se2, Se3, ..., Sen;

[0180] Get any latitude and longitude density Sen, when Sen<V·S, mark the latitude and longitude density as abnormal data, V is the preset standard value;

[0181] Count the number of sample data N1, and then count the number of abnormal data N2;

[0182] Use E4=N2 / N1 to calculate the abnormal data production ratio;

[0183] When the abnormal data proportion E4>the preset threshold value Q6, it indicates that there is a problem with the tensile strength of the cotton cloth and there are defects in the design of the cotton cloth, and a defect assessment report is generated.

[0184] The recovery performance of the cotton cloth can be judged by analyzing the changes in the warp and weft density of the cotton cloth after stretching. When the warp and weft density of the cotton cloth after standing for a period of time changes greatly compared with the warp and weft density in the natural state, it means that the cotton cloth has undergone permanent deformation and the structural design is unreasonable. Feedback is provided to further improve the evaluation ability of the system.

[0185] The real-time data information also includes real-time gas flow data. The real-time data information also includes the generation process of the real-time evaluation report, which also includes:

[0186] When the use data is the second use, the second use is winter warmth;

[0187] The real-time air flow data of the cotton cloth after the second treatment is collected. The second treatment process is: under the specified sample area, pressure drop and time conditions, the sample is placed between the upper and lower test chambers of the air permeability tester and clamped to ensure sealing;

[0188] Calculate the air permeability E5 of cotton cloth. The specific calculation process is:

[0189] E5 = Lq / As × 0.167;

[0190] Among them, Lq is the air flow data, As is the test area;

[0191] It should be noted that Lq is the air flow rate (L / min), As is the test area (cm 2 ), 0.167 is the conversion factor, L / min×cm 2 Convert to mm / s;

[0192] For example, if the measured air flow rate Lq is 10L / min and the test area As is 20cm 2 , then the air permeability E5 = 10 / 20 × 0.167 = 0.835 mm / s.

[0193] When the air permeability E5 is less than the preset threshold value Q7, it indicates that there is a problem with the air permeability of the cotton cloth, there is a defect in the design of the cotton cloth, and a defect assessment report is generated.

[0194] When the warp and weft density is large and the structure is tight, the air permeability of cotton cloth is relatively weak; however, in actual use, a certain degree of air permeability is required to ensure wearing comfort; air permeability testing of cotton cloth can improve the practicality of system evaluation.

[0195] The process of generating the opinion report is as follows:

[0196] Read historical data information and defect assessment reports, obtain defect parameter indicators in the defect assessment report, retrieve good assessment reports in historical data, and then read parameter information in the good assessment reports; obtain first type indicator data of defect parameter indicators in the good assessment reports, and mark the first type indicator data to generate an opinion report.

[0197] The first type of indicator data is the defect indicator data that appears during cotton cloth detection. Appropriate indicator data is screened out through historical data for recommendation, which assists designers in designing cotton cloth and improves the use value of the system.

[0198] Among them, the import module stores standard indicator parameters, and the specific processing process of the import module is:

[0199] Obtain usage data of the cotton cloth design, compare the usage data with standard index parameters, and obtain the index threshold value of the cotton cloth.

[0200] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0201] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0202] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A cotton fabric design automated evaluation system, characterized in that: It includes data acquisition module, preprocessing module, database module, import module, data processing module and data output module; The data acquisition module is used to collect real-time data information of cotton cloth in different states, and the real-time data information includes real-time image data; The preprocessing module is used to receive real-time image data and perform denoising and enhancement on the real-time image data; The database module is used to store historical data information; The import module is used to import the design usage data of the cotton cloth, and match the index threshold of the cotton cloth according to the usage data of the cotton cloth; The data processing module is used to receive real-time data information, historical data information and indicator thresholds, analyze the real-time data information according to the indicator thresholds, obtain the use performance data of the cotton cloth, and generate an evaluation report; then obtain the historical data information, compare and screen the evaluation report according to the historical data information, and generate an opinion report; The data output module is used to receive and output evaluation reports and opinion reports.

2. The cotton fabric design automated evaluation system according to claim 1, characterized in that: The specific processing process of the preprocessing module is: Import real-time image data to obtain real-time image data; Divide the image evenly into multiple block units; Use the multithreaded programming library to create threads; Allocate the divided block units evenly to each thread; In each thread, the mean filtering algorithm and the histogram equalization algorithm are applied to the assigned block units for processing; After all threads have completed processing, the processed block units are merged into a complete image and output.

3. The cotton fabric design automated evaluation system according to claim 1, characterized in that: The real-time data information also includes real-time brightness data, and the evaluation report includes an excellent evaluation report and a defect evaluation report. The generation process of the evaluation report is: Collecting real-time image data of the cotton cloth in a natural state to obtain first cotton cloth image data; Using a first preset unit size to segment the first cotton cloth image, the first cotton cloth image is segmented into a plurality of first sub-regions; Count the number of warp yarns a and the number of weft yarns b in the cotton cloth to obtain the warp and weft density S = a·b of the cotton cloth; Calculate the latitude and longitude density of each first sub-area and obtain the average latitude and longitude density of multiple first sub-areas Import the index threshold W1 of warp and weft density and evaluate the first quality E1 of warp and weft density. The specific calculation process is as follows: Collecting real-time impact data of the cotton cloth on the transparent carrier at a first angle, and obtaining second cotton cloth image data; Using a second preset unit size to segment the second cotton cloth image, the second cotton cloth image is segmented into a plurality of second sub-regions; A second sub-region is randomly obtained, real-time brightness data of the second sub-region is obtained, and the brightness difference ΔU at different positions of the second sub-region is calculated; when ΔU>preset threshold Q1, the second sub-region is segmented, and the region with small brightness data is segmented into a flat region, and the region with large brightness data is segmented into a wrinkled region; Using a third preset unit size to divide the second sub-region into a plurality of unit rectangles; Count the number of complete unit rectangles C1 and the number of incomplete unit rectangles C2 in the wrinkle area; Then count the number D1 of complete unit rectangles and the number D2 of incomplete unit rectangles in the second sub-region; The second quality E2 for evaluating the flatness of cotton cloth is calculated as follows: Assign a correction value r1 to the first quality E1, and then assign a correction value r2 to the second quality E2, and calculate the performance parameter F of the cotton cloth. The specific calculation process is: F = r1·E1+r2·E2; Among them, r1+r2=1, and r1>r2; When the performance parameter F is less than the preset threshold value Q2, it indicates that the cotton fabric is reasonably designed and an excellent evaluation report is generated; When the performance parameter F is used ≥ the preset threshold value Q2, it indicates that there are defects in the cotton cloth design, and a defect assessment report is generated.

4. The cotton fabric design automated evaluation system according to claim 3, characterized in that: When the performance parameter F is less than the preset threshold value Q2, the evaluation process of the warp and weft density of the cotton cloth further includes: Collecting real-time image data of the cotton cloth after the first processing to obtain third cotton cloth image data, wherein the first processing process is: polishing the cotton cloth along an arc-shaped trajectory with a friction head at a certain pressure and speed, and marking the boundary line of the arc-shaped trajectory on the cotton cloth; Multiple unit detection areas are randomly established within the circular trajectory; Count the number of hair balls in each unit detection area, namely M1, M2, M3, ..., Mn; Get the average number of hair balls When the average number of hair balls >When the preset threshold value Q3 is reached, it indicates that the warp and weft yarns of the cotton cloth are not arranged tightly, the cotton cloth design has defects, and a defect assessment report is generated.

5. The cotton fabric design automated evaluation system according to claim 4, characterized in that: When the average number of hair balls ≤preset threshold Q3, the real-time data information also includes real-time size data, and the evaluation process of the warp and weft density of the cotton cloth also includes: Import the third cotton cloth image data to obtain the arc trajectory; Three reference points are randomly obtained on the outer boundary of the arc trajectory, two adjacent reference points are connected to obtain two line segments, perpendicular bisectors of the two line segments are respectively made, and the intersection point T of the two perpendicular bisectors is obtained; Collect the dimension Lr1 from the intersection point T to the inner boundary of the arc track, and collect the dimension Lr2 from the intersection point T to the outer boundary of the arc track; With the intersection point T as the center, an arc is made with a radius Rt = (Lr1 + Lr2) / 2 to obtain the virtual center line of the circular trajectory; Take a point on the virtual center line as the center to establish multiple tangent standard circles of the same size. The standard circles are located within the arc trajectory. Label the standard circles in sequence; Create a rectangular coordinate system, with the ordinate representing the number of hair balls in the standard circle and the abscissa representing the number of the standard circle, and establish a curve graph P; Several checkpoints are obtained continuously on the curve graph P, and the slopes K of adjacent checkpoints are calculated respectively. The specific calculation process is as follows: K = ΔMr / ΔL; Among them, ΔMr is the difference in the number of hair balls in two adjacent standard circles, and ΔL is the distance of the horizontal coordinates between the calibration points; Calculate the rate of change K` of the slope K. The specific calculation process is: Among them, Ka and Kb are the slope values ​​of two adjacent slopes; When the change rate K`> the preset threshold value Q4, it indicates that the density distribution of the warp and weft yarns of the cotton cloth is uneven, the cotton cloth design has defects, and a defect assessment report is generated.

6. The cotton fabric design automated evaluation system according to claim 5, characterized in that: The verification point acquisition process is as follows: Read the curve graph P; Make a virtual tangent line of the curve graph on the curve graph P, and mark it when the virtual tangent line is parallel to the horizontal axis; Read the marked virtual tangent line and obtain the tangent point between the virtual tangent line and the curve graph; The cut points are marked to generate checkpoints.

7. The cotton fabric design automated evaluation system according to claim 3, characterized in that: The generation process of the evaluation report also includes: When the purpose data is the first purpose: Collecting real-time image data of the cotton cloth under a preset tension to obtain fourth cotton cloth image data; Using a first preset unit size to segment the fourth cotton cloth image, the fourth cotton cloth image is segmented into a plurality of first type sub-regions; Count the longitude and latitude density of each first-type sub-area and obtain the average longitude and latitude density Calculate the deformation rate E3 of cotton cloth. The specific calculation process is: When the deformation rate E3>preset threshold value Q5, it indicates that there is a problem with the weaving structure of the cotton cloth and there is a defect in the design of the cotton cloth, and a defect assessment report is generated.

8. The cotton fabric design automated evaluation system according to claim 7, characterized in that: The real-time data information also includes real-time dimension data, and the generation process of the evaluation report also includes: Collecting real-time image data of the cotton cloth after it is kept under a preset tension for a preset period of time and then stored again in a natural state for a preset period of time, to obtain fifth cotton cloth image data; Using the first preset unit size to segment the fifth cotton cloth image, the fifth cotton cloth image is segmented into a plurality of second type sub-regions; Randomly collect the longitude and latitude densities of multiple second-type sub-areas as sample data, namely Se1, Se2, Se3, ..., Sen; Get any longitude and latitude density Sen, when When , the latitude and longitude density is marked as abnormal data, and V is the preset standard value; Count the number of sample data N1, and then count the number of abnormal data N2; Use E4=N2 / N1 to calculate the abnormal data production ratio; When the abnormal data proportion E4>the preset threshold value Q6, it indicates that there is a problem with the tensile strength of the cotton cloth and there are defects in the design of the cotton cloth, and a defect assessment report is generated.

9. The cotton fabric design automated evaluation system according to claim 3, characterized in that: The real-time data information also includes real-time gas flow data, and the real-time data information also includes real-time The generation process of the evaluation report also includes: When the usage data is for secondary use: Collecting real-time air flow data of the cotton cloth after the second treatment, wherein the second treatment process is: placing the sample between the upper and lower test chambers of the air permeability tester under the specified sample area, pressure drop and time conditions, and clamping to ensure sealing; Calculate the air permeability E5 of cotton cloth. The specific calculation process is: E5 = Lq / As × 0.167; Among them, Lq is the air flow data, As is the test area; When the air permeability E5 is less than the preset threshold value Q7, it indicates that there is a problem with the air permeability of the cotton cloth, there is a defect in the design of the cotton cloth, and a defect assessment report is generated.

10. The cotton fabric design automated evaluation system according to claim 1, characterized in that: The generation process of the opinion report is as follows: Read historical data information and defect assessment reports, obtain defect parameter indicators in the defect assessment report, retrieve good assessment reports in historical data, and then read parameter information in the good assessment reports; obtain first type indicator data of defect parameter indicators in the good assessment reports, and mark the first type indicator data to generate an opinion report.

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