Quality assessment and early warning system for clothing single and double placket folding and pressing production

Abstract

The invention discloses a quality assessment and early warning system for folding and ironing of single and double plackets of clothing, and relates to the technical field of clothing processing. The assessment and early warning system comprises an image analysis module, a flatness analysis module and an ironing assessment module, and is used to solve the technical problem that the folding and ironing quality of the placket cannot be assessed intuitively and accurately during the existing folding and ironing production of the placket. The technical key points are as follows: by adopting image recognition technology to import the edge line of the placket after folding and ironing into a coordinate system, the regression line equation corresponding to the edge line of the placket and the distance #imgabs0# from the feature point to the regression line equation are obtained, so that the placket image is digitized, and then a flatness coefficient that can intuitively assess the flatness of the edge line of the placket is generated by the positional relationship between the coordinates of each feature point and the regression line equation, so as to adjust and optimize the equipment and production method according to the changes in the placket production process, and provide a data basis for subsequent improvements.

Description

Technical Field

[0001] The invention relates to the technical field of clothing processing, in particular to a quality assessment and early warning system for clothing single and double placket folding and pressing production. Background Art

[0002] At present, the sewing of shirts includes the front piece, collar, sleeves and sleeve slits, and different parts are sewn in different ways. Among them, the sleeve slit is used to loosen or tighten the cuffs, which is both practical and aesthetic. However, since the sleeve slit is not a regular fabric as a whole, there is a sword head, and the corners of the sleeve slit fabric need to be reserved for sewing. Therefore, it is necessary to manually fold the various edges of the sleeve slit for better sewing, which not only reduces sewing efficiency, but also makes it difficult to unify sewing standards, which damages the efficiency of the assembly line.

[0003] At present, China with an existing patent application number of "CN202111171362.3" has disclosed a folding and forming system for a placket, including an assembly plate and a size plate arranged up and down, wherein an inner cut strip is embedded and connected in the assembly groove opened on the assembly plate, and a sewing gap is formed between the outer wall of the inner cut strip and the inner groove wall of the assembly groove, and a fault groove is opened near the inner end of the inner cut strip, and the top of the assembly groove is covered with a size plate, and the inside of the size plate is provided with size grooves corresponding to the upper and lower parts of the assembly groove, and a plurality of reciprocating folding knives are arranged on the top surface of the size plate surrounding the size groove, and an ironing board is arranged directly above the size plate; during operation, it undergoes flattening, folding edge by edge, pressing down, retracting the movable pressing plate, primary ironing, splicing to obtain a combination of cloth pieces, and secondary ironing in sequence. They only play the role of folding, but the effect after folding and ironing cannot be evaluated. This means that the quality of the folding and ironing of the placket still needs to rely on human eyes to observe and judge, which seriously affects the applicability of the folding and ironing equipment. In addition, since the folding and ironing effect of the placket cannot be digitized, the subsequent processing equipment cannot be adjusted according to the folding and ironing situation.

[0004] Unable to intuitively and accurately evaluate the folding and ironing quality of the placket: The existing placket folding and ironing equipment and folding and ironing methods focus more on how to process the placket on the clothing, but ignore the importance of placket folding and ironing quality detection, so that it is impossible to obtain the "signal" fed back by the folding and ironing equipment in time, resulting in the equipment being discovered only when a major failure occurs, seriously affecting the timely maintenance and adjustment of the equipment. The most common problem is the aging of the equipment. This is because with the continuous use of the equipment, its internal electrical components are also constantly aging, resulting in certain deviations in both detection and feedback information. For example, the aging of the heating element, for medium and thick fabrics such as polyester, nylon, acrylic and man-made fibers, the set ironing temperature is generally between 140-150℃, but when the equipment is heating at this temperature, due to the aging of its heating element, the actual heating temperature does not even reach 120℃, so that the placket folded and ironed by the equipment cannot be effectively formed, seriously affecting the production quality of the clothing, and because of the intuitive understanding of the aging of the heating element, when the above situation occurs again, the problem can only be solved by replacing the corresponding equipment. In addition, when the equipment is in use, both the workbench on the surface of the folding and ironing equipment and the folding and ironing mechanism inside it will experience certain wear and tear. This is due to the friction between the clothes and the folding and ironing equipment when the clothing placket is made. However, this wear and tear is not formed in one go, but is formed over time. Therefore, the impact of this wear and tear is relatively minor at the beginning and cannot be observed by the human eye, resulting in errors that cannot be discovered in a timely manner.

[0005] Secondly, the quality of existing clothing plackets is mainly judged by manual observation, which makes it impossible to accurately evaluate the clothing placket during clothing production, resulting in uneven quality of finished products, which seriously affects the use effect of the clothing. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the deficiencies in the prior art, the present invention provides a quality assessment and early warning system for the folding and pressing production of single and double plackets of clothing, thereby solving the problems raised in the background technology.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] A quality assessment and early warning system for the production of single and double placket folding and ironing of clothing, which includes:

[0011] The image analysis module uses image recognition methods to extract the edge line of the placket in the placket image, and imports it into the plane coordinate system to extract the coordinates of the feature points on the placket edge line. Based on the coordinates of the feature points, the regression line equation corresponding to the placket edge line and the distance from the feature points to the regression line equation are calculated. ;

[0012] The flatness analysis module calculates the flatness coefficient of the placket edge line according to the positional relationship between the coordinates of each feature point on the placket edge line and the regression line equation; the flatness coefficient of the placket edge line is divided into folding flatness coefficient and ironing flatness coefficient according to the shooting angle of the placket image, and then the classified flatness coefficient is compared with the corresponding threshold value. The comparison results are as follows:

[0013] When the folding flattening coefficient is greater than the preset folding threshold, a folding error alarm is issued, and the regional screening strategy is executed. The placket edge line corresponding to the folding flattening coefficient is divided into several segments, and the flattening coefficient of each segment of the placket edge line is compared with the folding threshold again. According to the comparison result, the placket edge line segments greater than the folding threshold are marked in the original placket image; otherwise, no response is made;

[0014] When the ironing flatness coefficient is greater than the preset ironing threshold, an ironing error alarm is issued, and a correction strategy is executed to retrieve the placket edge line and regression line equation corresponding to the ironing flatness coefficient, and at the same time, the environmental impact coefficient before and after the placket is ironed is combined to calculate the upward adjustment coefficient of the ironing temperature and the ironing humidity; otherwise, no response is given;

[0015] The ironing evaluation module obtains the material parameters of the placket and analyzes the ironing evaluation index of the placket in combination with the stretching length of the placket under a preset tensile force. When the ironing evaluation index is greater than the preset adjustment threshold, the downward adjustment coefficient of the ironing temperature is calculated based on the difference between the ironing evaluation index and the adjustment threshold; otherwise, an ironing qualified instruction is issued.

[0016] Furthermore, the image recognition: the collected placket image is grayed and median filtered; the Canny operator is selected for edge detection, the Hough transform is used to detect the placket edge line in the placket image, and the placket edge line is imported into a plane coordinate system to obtain a placket edge line map.

[0017] Furthermore, the specific process of the image analysis is as follows:

[0018] Set the feature point screening distance ,

[0019] Select feature points on the edge line of the placket; the selection of feature points starts from the end point of the placket edge line, and each interval is selected Select a point at the position until the remaining length of the placket edge line is less than the screening distance , mark the coordinates of the feature points as ( , )、( , )、( , )、……、( , );

[0020] Substitute the feature point coordinates into the analysis formula Calculate the regression line equation corresponding to the edge line of the placket , where a represents the intercept in the regression line equation, represents the slope of the regression line equation, ( , ) represents the coordinates of the i-th feature point on the edge line of the placket;

[0021] The feature point coordinates ( , ) Import analysis formula Calculate the distance from the feature point to the regression line equation , the distance Compare with the preset floating threshold. When it is greater than the floating threshold, the placket is recorded as unqualified folding and printing; otherwise, it is recorded as qualified folding and printing.

[0022] Furthermore, the formula for the placket edge line flatness coefficient is as follows:

[0023]

[0024] In the formula, Indicates the flatness coefficient of the placket edge line. Indicates the maximum value of the distance from the feature point to the regression line equation. represents the slope between the i-th feature point and the i+1-th feature point, represents the slope between the i+1th feature point and the i+2th feature point, represents the slope change threshold, , represent the weights of the maximum spacing offset ratio and the slope change ratio, respectively, and , .

[0025] Furthermore, the shooting angles of the door placket image are divided into the following two types:

[0026] The camera shoots from the top to the bottom of the placket surface, and the flatness coefficient of the placket edge line obtained by shooting at this angle is recorded as the folding flatness coefficient;

[0027] The camera shoots at an angle facing the extension direction of the placket, and the flatness coefficient of the placket edge line obtained by shooting at this angle is recorded as the ironing flatness coefficient.

[0028] Furthermore, the steps for obtaining the environmental impact coefficient are as follows:

[0029] Get the temperature and humidity of the front and back plackets after ironing, recorded as , , , ;

[0030] Extract the setting parameters of the ironing equipment parameters in the database to obtain the set temperature and humidity, which are recorded as and ;

[0031] By analyzing the formula Get the environmental impact coefficient before and after ironing the placket , where Indicates the correction factor of the preset environmental impact coefficient, , Respectively represent the weights of the preset temperature and humidity offset ratios, and .

[0032] Furthermore, the upward adjustment coefficient is divided into the upward adjustment coefficient of the ironing temperature and the upward adjustment coefficient of the ironing humidity. It is necessary to retrieve the placket edge line and the regression line equation corresponding to the ironing flattening coefficient, and calculate the maximum value of the distance from the feature point to the regression line equation. , combined with the environmental impact coefficient, the upward adjustment coefficient of the ironing temperature is calculated. The calculation formula for the upward adjustment coefficient of the ironing temperature is as follows:

[0033]

[0034] In the formula, Indicates the upward adjustment coefficient of the ironing temperature. When , a check warning is issued, the ironing evaluation module is executed, and the ironing evaluation value of the placket is calculated; when When the door is detected, the corresponding equipment will be stopped and a maintenance instruction will be issued to the maintenance department. When, no response;

[0035] The calculation formula for the upward adjustment factor of ironing humidity is as follows:

[0036]

[0037] Indicates the upward adjustment coefficient of ironing humidity, and when the humidity of the placket after ironing >When the preset humidity upper limit threshold is reached, the device corresponding to the detected door placket will be stopped and a maintenance instruction will be issued to the maintenance department.

[0038] Furthermore, the analysis process of the placket ironing evaluation index is as follows:

[0039] Set the initial stretching force and floating force of the placket, which are recorded as and ;

[0040] Get the length of the placket before and after stretching under the initial force, which are recorded as and ; The stretched length of the placket under the buoyancy force is recorded as ;

[0041] By analyzing the formula Get the Placket Ironing Evaluation Index , where , They represent the weights of the stretching distance ratio and the rope pulling force ratio, respectively, and e represents a natural constant. Indicates the tensile strength of the material used to make the placket.

[0042] Furthermore, the formula for the ironing temperature adjustment coefficient is as follows:

[0043]

[0044] In the formula, Indicates the ironing temperature adjustment factor. Indicates the adjustment threshold of the ironing temperature reduction coefficient. When the door is detected, the corresponding equipment will be stopped and a maintenance instruction will be issued to the maintenance department. When the ironing is done again, , no response is given.

[0045] Furthermore, the early warning system also includes:

[0046] The secondary analysis module re-irons the placket according to the adjusted parameters, and compares the ironing smoothness coefficient and the ironing evaluation index obtained from the two analyses. When the adjusted ironing smoothness coefficient and the ironing evaluation index are both within the corresponding qualified range, the adjustment data of this time is recorded as the ironing parameter of the ironing equipment; otherwise, it is adjusted again according to the obtained adjustment coefficient. When the adjusted ironing smoothness coefficient and the ironing evaluation index are both within the corresponding qualified range or the number of adjustments exceeds L times, the adjustment is stopped.

[0047] (III) Beneficial effects

[0048] The present invention provides a quality assessment and early warning system for folding and pressing single and double plackets of clothing, which has the following beneficial effects:

[0049] By using image recognition technology to import the edge line of the placket after folding and ironing into the coordinate system, the regression line equation corresponding to the edge line of the placket and the distance from the feature point to the regression line equation are obtained. , thereby digitizing the placket image, and then using the positional relationship between the coordinates of each feature point and the regression line equation to generate a flatness coefficient that can intuitively evaluate the flatness of the placket edge line, so as to adjust and optimize the equipment and production methods according to the changes in the placket production process, and at the same time provide a data basis for subsequent improvements.

[0050] The flattening coefficient of the edge of the placket is classified according to the shooting angle of the placket image, so that when there is a problem with the placket production, the corresponding processing step can be accurately located. Then the classified flattening coefficient is compared with the corresponding threshold to determine whether each processing step meets the set requirements. At the same time, the corresponding solution is called according to the comparison result to obtain accurate adjustment parameters, which provides a basis for subsequent adjustments by maintenance personnel and subsequent temperature settings. Secondly, after the test is completed, the folding flattening coefficient, ironing flattening coefficient and ironing evaluation value are combined to obtain a value that can comprehensively evaluate the quality of the placket, so that manufacturers can have an intuitive understanding of the durability of the clothing they process. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a flowchart of the overall structure of the present invention;

[0052] Figure 2 Schematic diagram of obtaining a placket image of the present invention;

[0053] Figure 3 It is the extraction diagram of the edge line of the placket of the present invention;

[0054] Figure 4 This is the labeling diagram of the edge line image of the placket of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention. Example

[0056] See also Figures 1 to 4This embodiment provides a quality assessment and early warning system for folding and pressing single and double plackets of clothing. The early warning system includes:

[0057] Image extraction

[0058] The CCD camera is used to collect the image of the placket after ironing. The shooting angles of the placket image are divided into top-down shooting (the camera shoots from the angle facing the placket surface from top to bottom) and side-view shooting (the camera shoots from the angle facing the extension direction of the placket). Figure 2 After shooting, the edge line of the placket in the placket image is extracted using the image recognition method, as follows:

[0059] The collected placket image is grayed and median filtered, and the top view of the placket is obtained by inverse perspective transformation. The interference can be reduced by setting the region of interest, and the image is enhanced by histogram equalization to reduce the impact of brightness changes. The Canny operator is used for edge detection, and the Hough transform is used to detect the straight lines in the edge map. According to the characteristics of the placket image, the polar angle is constrained to reduce the calculation amount of the Hough transform. After the placket edge line fitting is stable, the Kalman filter is used to track the track line, and the extracted placket edge line is fitted with the regression line to solve the flatness of the placket edge line, thereby obtaining the deformation of the placket edge line.

[0060] Import the obtained placket edge line into the plane coordinate system to extract the coordinates of the feature points on the placket edge line, and calculate the regression line equation corresponding to the placket edge line and the distance from the feature point to the regression line equation based on the feature point coordinates. Feature points: The selection of feature points starts from the end point of the placket edge line, and each interval is selected Select a point at the position until the remaining length of the placket edge line is less than the screening distance , mark the coordinates of the feature points as ( , )、( , )、( , )、……、( , ). The regression line equation of the placket edge line is calculated through the acquired feature points. The specific formula is as follows:

[0061] (1)

[0062] (2)

[0063] (3)

[0064] In formulas (1)-(3), a represents the intercept in the regression line equation, represents the slope of the regression line equation, ( , ) represents the coordinates of the i-th feature point on the edge line of the placket.

[0065] Using the regression line equation obtained above , as the standard comparison line for the degree of change of the placket edge line. Then, the feature point is obtained through the point-to-line calculation formula ( , ) to the regression line equation Distance The formula is as follows:

[0066] (4)

[0067] Since the feature point is on the edge of the placket, the distance from the feature point to the regression line equation is The size of the placket edge line can be intuitively understood by comparing it with the regression line. Then, a floating threshold value that feedbacks the error degree of the placket edge line can be set to detect whether the flatness of the placket fold meets the requirements. If it is greater than the floating threshold, the placket is recorded as unqualified; otherwise, it is recorded as qualified, so as to facilitate the subsequent evaluation of the placket folding effect.

[0068] Placket smoothness

[0069] According to the shooting angle of the placket image, the flattening coefficient of the placket edge line is divided into the folding flattening coefficient and the ironing flattening coefficient. That is, the camera shoots at an angle facing the placket surface from top to bottom, and the flattening coefficient of the placket edge line obtained by shooting at this angle is recorded as the folding flattening coefficient; the camera shoots at an angle facing the extension direction of the placket, and the flattening coefficient of the placket edge line obtained by shooting at this angle is recorded as the ironing flattening coefficient. Figure 2 shown.

[0070] In this way, the flatness of the edge of the placket and the flatness of the top of the placket can be evaluated. Since the edge of the placket is the location of the placket folding, its flatness directly reflects the accuracy and stability of the placket folding, so as to facilitate timely repair and adjustment of the corresponding structure in the folding and ironing equipment. The top of the placket is formed by extrusion and ironing, so the flatness of this position reflects the effect of ironing. Therefore, by analyzing the images of different angles and positions of the placket, the problems when folding and ironing the placket can be obtained. The details are as follows:

[0071] Folding flatness

[0072] The edge of the placket is the location of the placket fold. After image extraction and analysis, the edge line of the placket in the coordinate system is obtained, so the detection of the edge of the placket is converted into a linear flatness detection. Then, when the regression line is used for production, the feature point is set as the evaluation point. Whether the line is flat depends on whether the surface of the line is bent and deformed. For this reason, the degree of inclination of the line is detected as an important factor for evaluation. The slope of the feature point is obtained by obtaining the relationship between the current feature point and the next feature point, and the slope calculation formula can be used to obtain it. The specific formula is as follows:

[0073] (5)

[0074] (6)

[0075] In formulas (5) and (6), Indicates the flatness coefficient of the placket edge line. Represents the slope between the i-th feature point and the i+1-th feature point, ( , )and( , ) represent the coordinates of the i-th feature point and the i+1-th feature point, respectively. Indicates the maximum value of the distance from the feature point to the regression line equation. represents the slope between the i+1th feature point and the i+2th feature point, represents the slope change threshold, , represent the weights of the maximum spacing offset ratio and the slope change ratio, respectively, and , By calculating the distance from each feature point to the regression line , select the largest value, which is .

[0076] in, Indicates the change rate of the placket edge line. When it is greater than the preset slope change threshold When , it means that the change range of the edge line of the placket is too large (that is, the surface is obviously uneven), then an error warning is issued and a recovery operation is performed; on the contrary, the change rate of the edge line of the placket and the positional relationship between the feature points and the average distance are used to comprehensively evaluate the flatness of the edge line of the placket.

[0077] The reason why the maximum value of the distance from the feature point to the regression line equation is used is As one of the factors for evaluating flatness, this is because the change rate of the placket edge line can only reflect the surface smoothness of the placket edge line, but cannot reflect the change amplitude of the placket edge line. For example, when a certain curve in the placket edge line is convex upward and relatively smooth (such as an ellipse), the change rate of the placket edge line detected at this time is small, because the curve is smooth and the slope on it does not change much; however, the bulge of this curve cannot be expressed by this value, so it is necessary to combine the distance from the feature point to the regression line equation for evaluation, and the maximum value is It is the value that best reflects the range of change and is used as one of the factors for evaluating flatness.

[0078] When the folding flatness coefficient is greater than the preset folding threshold, a folding error alarm is issued, and the regional screening strategy is executed. The placket edge line corresponding to the folding flatness coefficient is divided into several segments, and the flatness coefficient of each segment of the placket edge line is compared with the folding threshold again. According to the comparison result, the placket edge line segments greater than the folding threshold are marked in the original placket image; otherwise, no response is made. Figure 4 shown.

[0079] Ironing flatness

[0080] Ironing smoothness coefficient: The camera is taken at an angle facing the extension direction of the placket, and the flatness coefficient of the placket edge line obtained by taking pictures at this angle is recorded as the ironing smoothness coefficient. It is also obtained using the above-mentioned folding flatness calculation formula. Since the camera is taken at an angle facing the extension direction of the placket, the image obtained is used to reflect the flatness of the top of the placket, and the top of the placket is formed by extrusion and ironing, so the image obtained at this angle is used to feedback the ironing flatness.

[0081] When the ironing smoothness coefficient is greater than the preset ironing threshold, an ironing error alarm is issued, the correction strategy is executed, the placket edge line and regression line equation corresponding to the ironing smoothness coefficient are retrieved, and the environmental impact coefficient before and after the placket is ironed is combined to calculate the upward adjustment coefficient of the ironing temperature and ironing humidity; otherwise, no response is given.

[0082] In order to obtain an accurate upward adjustment coefficient, it is necessary to combine the environmental impact coefficient before and after ironing the placket. The formula used is as follows:

[0083] (7)

[0084] In formula (7), , Respectively indicate the temperature for ironing the front and back plackets. , Respectively indicates the humidity of the front and back plackets after ironing. Indicates the temperature at which the ironing device is set. Indicates the humidity setting of the ironing device. Indicates the correction factor of the preset environmental impact coefficient, , Respectively represent the weights of the preset temperature and humidity offset ratios, and .

[0085] The upward adjustment coefficient is divided into the upward adjustment coefficient of ironing temperature and the upward adjustment coefficient of ironing humidity. It is necessary to retrieve the placket edge line and regression line equation corresponding to the ironing flatness coefficient, and calculate the maximum value of the distance from the feature point to the regression line equation. , and calculate the upward adjustment coefficient of ironing temperature in combination with the environmental impact coefficient.

[0086] Increase the ironing temperature

[0087] The upward adjustment factor for ironing temperature is calculated based on the following formula:

[0088]

[0089] In the formula, Indicates the upward adjustment coefficient of the ironing temperature. In addition, according to the upward adjustment range of the upward adjustment coefficient, the aging degree of the current machine can be understood. First of all, the reason for the upward adjustment is that the parameters of the folding and ironing equipment during operation cannot meet the actual needs. For example, if the upward adjustment range is 2%, it means that it is necessary to increase the range of 2% based on the setting of the folding and ironing equipment to meet the previous needs. The initial temperature is 120℃, and the actual temperature is 117℃. After the set temperature of 120℃ is increased by 2%, the actual temperature meets the needs. When the upward adjustment range reaches a certain value, it means that the equipment is seriously aged and its internal structure or the overall equipment needs to be replaced. The details are as follows:

[0090] when When the ironing evaluation module is executed, the ironing evaluation value of the placket is calculated;

[0091] when Time or cumulative adjustment When the door is detected, the equipment corresponding to the detected door placket is stopped and a maintenance instruction is issued to the maintenance department;

[0092] when No response.

[0093] Ironing humidity increase

[0094] The calculation formula for the upward adjustment factor of ironing humidity is as follows:

[0095]

[0096] Indicates the upward adjustment coefficient of ironing humidity, and when the humidity of the placket after ironing >When the preset humidity upper limit threshold is reached, the device corresponding to the detected door placket will be stopped and a maintenance instruction will be issued to the maintenance department.

[0097] The flatness analysis module calculates the flatness coefficient of the placket edge line according to the positional relationship between the coordinates of each feature point on the placket edge line and the regression line equation; the flatness coefficient of the placket edge line is divided into folding flatness coefficient and ironing flatness coefficient according to the shooting angle of the placket image, and then the classified flatness coefficient is compared with the corresponding threshold value. The comparison results are as follows:

[0098] Ironing quality assessment

[0099] According to the parameters of the materials used in the production of the placket, combined with the stretched length of the placket under the preset tension, the placket ironing evaluation index is analyzed. The analysis process of the placket ironing evaluation index is as follows:

[0100] Set the initial stretching force and floating force of the placket, which are recorded as and ;

[0101] Get the length of the placket before and after stretching under the initial force, which are recorded as and ; The stretched length of the placket under the buoyancy force is recorded as ;

[0102] By analyzing the formula Get the Placket Ironing Evaluation Index , where , They represent the weights of the stretching distance ratio and the rope pulling force ratio, respectively, and e represents a natural constant. Indicates the tensile strength of the material used to make the placket.

[0103] Lower the ironing temperature

[0104] When the ironing evaluation index is greater than the preset adjustment threshold, the downward adjustment coefficient of the ironing temperature is calculated according to the difference between the ironing evaluation index and the adjustment threshold; otherwise, an ironing qualified instruction is issued.

[0105] The formula for the ironing temperature adjustment factor is as follows:

[0106]

[0107] In the formula, Indicates the ironing temperature adjustment factor. Indicates the adjustment threshold of the ironing temperature reduction coefficient. When the door is detected, the corresponding equipment will be stopped and a maintenance instruction will be issued to the maintenance department. When , no response is given.

[0108] Comprehensive quality estimate

[0109] When receiving the ironing qualified instruction, the folding flatness coefficient and ironing flatness coefficient obtained through image analysis are combined with the ironing evaluation value obtained during the placket tensile test to analyze the comprehensive quality evaluation value of the placket. Comprehensive quality evaluation value The formula used is as follows:

[0110] (8)

[0111] In formula (8), Indicates the folding flatness coefficient of the placket. Indicates the ironing flatness coefficient of the placket. , , They respectively represent the weights of the folding flatness coefficient, ironing flatness coefficient and ironing evaluation value.

[0112] In this way, a numerical value can be obtained to make a comprehensive assessment of the quality of the placket, so that manufacturers can have an intuitive understanding of the durability of the clothing they process. In addition, the comprehensive quality assessment value can be used to determine whether the clothing meets the factory standards. If it is determined that the factory standards are met, a placket qualified instruction will be issued; otherwise, the clothing will be recycled.

[0113] Secondary analysis

[0114] Re-iron the placket according to the adjusted parameters, and compare the ironing smoothness coefficient and the ironing evaluation index obtained from the two analyses. When the adjusted ironing smoothness coefficient and the ironing evaluation index are both within the corresponding qualified range, the adjustment data will be recorded as the ironing parameter of the ironing equipment; otherwise, make another adjustment based on the obtained adjustment coefficient. When the adjusted ironing smoothness coefficient and the ironing evaluation index are both within the corresponding qualified range or the number of adjustments exceeds a certain number, stop the adjustment, that is, stop the adjustment when L times is set. It can be set according to needs or the quality of clothing.

[0115] The weight coefficient is determined by the coefficient of variation method, which is a method of weighting each indicator according to the degree of variation between the current value of each evaluation indicator and the target value. If the numerical difference of an indicator is large, it can clearly distinguish the evaluated objects, indicating that the indicator has rich discrimination information, and thus the indicator should be given a larger weight. On the contrary, if the numerical difference of each evaluated object on a certain indicator is small, then the ability of this indicator to distinguish the evaluation objects is weak, and thus the indicator should be given a smaller weight. This method directly uses the information contained in each indicator and obtains the weight of the indicator through calculation, so it is objective.

[0116] In the application, the several formulas involved are all calculated by taking their numerical values ​​after removing the dimensions, and the formulas are established by collecting a large amount of data and performing software simulation to obtain a formula for the most recent actual situation. Some coefficients or weights in the formulas are set by technical personnel in this field according to actual conditions, so they will not be elaborated here.

[0117] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0118] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A quality assessment and early warning system for the folding and ironing of single and double plackets of clothing, characterized by: The early warning system includes: The image analysis module uses image recognition methods to extract the edge line of the placket in the placket image, and imports it into the plane coordinate system to extract the coordinates of the feature points on the placket edge line. Based on the coordinates of the feature points, the regression line equation corresponding to the placket edge line and the distance from the feature points to the regression line equation are calculated. ; The flatness analysis module calculates the flatness coefficient of the placket edge line according to the positional relationship between the coordinates of each feature point on the placket edge line and the regression line equation; the flatness coefficient of the placket edge line is divided into folding flatness coefficient and ironing flatness coefficient according to the shooting angle of the placket image, and then the classified flatness coefficient is compared with the corresponding threshold value. The comparison results are as follows: When the folding flattening coefficient is greater than the preset folding threshold, a folding error alarm is issued, and the regional screening strategy is executed. The placket edge line corresponding to the folding flattening coefficient is divided into several segments, and the flattening coefficient of each segment of the placket edge line is compared with the folding threshold again. According to the comparison result, the placket edge line segments greater than the folding threshold are marked in the original placket image; otherwise, no response is made; When the ironing flatness coefficient is greater than the preset ironing threshold, an ironing error alarm is issued, and a correction strategy is executed to retrieve the placket edge line and regression line equation corresponding to the ironing flatness coefficient, and at the same time, the environmental impact coefficient before and after the placket is ironed is combined to calculate the upward adjustment coefficient of the ironing temperature and the ironing humidity; otherwise, no response is given; The ironing evaluation module obtains the material parameters of the placket and analyzes the ironing evaluation index of the placket in combination with the stretching length of the placket under a preset tensile force. When the ironing evaluation index is greater than the preset adjustment threshold, the downward adjustment coefficient of the ironing temperature is calculated based on the difference between the ironing evaluation index and the adjustment threshold; otherwise, an ironing qualified instruction is issued.

2. The quality assessment and early warning system for folding and pressing single and double plackets of clothing according to claim 1 is characterized by: The image recognition comprises: performing grayscale conversion and median filtering on the collected door placket image; selecting the Canny operator for edge detection, using Hough transform to detect the door placket edge line in the door placket image, and importing the door placket edge line into a plane coordinate system to obtain a door placket edge line map.

3. The quality assessment and early warning system for folding and pressing single and double plackets of clothing according to claim 2 is characterized by: The specific process of the image analysis is as follows: Set the feature point screening distance , Select feature points on the edge of the placket. The feature points are selected based on the breakpoints of the placket edge. Select a point at the position until the remaining length of the placket edge line is less than the screening distance , mark the coordinates of the feature points as ( , )、( , )、( , )、……、( , ); Substitute the feature point coordinates into the analysis formula Calculate the regression line equation corresponding to the edge line of the placket , where a represents the intercept in the regression line equation, represents the slope of the regression line equation, ( , ) represents the coordinates of the i-th feature point on the edge line of the placket; The feature point coordinates ( , ) Import analysis formula Calculate the distance from the feature point to the regression line equation , the distance Compare with the preset floating threshold. When it is greater than the floating threshold, the placket is recorded as unqualified folding and printing; otherwise, it is recorded as qualified folding and printing.

4. The quality assessment and early warning system for folding and pressing single and double plackets of clothing according to claim 3 is characterized by: The formula for the flatness coefficient of the placket edge line is as follows: ； In the formula, Indicates the flatness coefficient of the placket edge line. Indicates the maximum value of the distance from the feature point to the regression line equation. represents the slope between the i-th feature point and the i+1-th feature point, represents the slope between the i+1th feature point and the i+2th feature point, represents the slope change threshold, , represent the weights of the maximum spacing offset ratio and the slope change ratio, respectively, and , .

5. The quality assessment and early warning system for folding and pressing single and double plackets of clothing according to claim 4 is characterized by: The shooting angles of the door placket image are divided into the following two types: The camera shoots from the top to the bottom of the placket surface, and the flatness coefficient of the placket edge line obtained by shooting at this angle is recorded as the folding flatness coefficient; The camera shoots at an angle facing the extension direction of the placket, and the flatness coefficient of the placket edge line obtained by shooting at this angle is recorded as the ironing flatness coefficient.

6. The quality assessment and early warning system for folding and ironing single and double plackets of clothing according to claim 5 is characterized by: The steps for obtaining the environmental impact coefficient are as follows: Get the temperature and humidity of the front and back plackets after ironing, recorded as , , , ; Extract the setting parameters of the ironing equipment parameters in the database to obtain the set temperature and humidity, which are recorded as and ; By analyzing the formula Get the environmental impact coefficient before and after ironing the placket , where Indicates the correction factor of the preset environmental impact coefficient, , Respectively represent the weights of the preset temperature and humidity offset ratios, and .

7. The quality assessment and early warning system for folding and pressing single and double plackets of clothing according to claim 6 is characterized by: The upward adjustment coefficient is divided into the upward adjustment coefficient of the ironing temperature and the upward adjustment coefficient of the ironing humidity. It is necessary to retrieve the placket edge line and the regression line equation corresponding to the ironing flatness coefficient, and calculate the maximum value of the distance from the feature point to the regression line equation. , combined with the environmental impact coefficient, the upward adjustment coefficient of the ironing temperature is calculated. The calculation formula for the upward adjustment coefficient of the ironing temperature is as follows: ； In the formula, Indicates the upward adjustment coefficient of the ironing temperature. When , a check warning is issued, the ironing evaluation module is executed, and the ironing evaluation value of the placket is calculated; when When the door is detected, the corresponding equipment will be stopped and a maintenance instruction will be issued to the maintenance department. When, no response; The calculation formula for the upward adjustment factor of ironing humidity is as follows: ； Indicates the upward adjustment coefficient of ironing humidity, and when the humidity of the placket after ironing >When the preset humidity upper limit threshold is reached, the device corresponding to the detected door placket will be stopped and a maintenance instruction will be issued to the maintenance department.

8. The quality assessment and early warning system for folding and pressing single and double plackets of clothing according to claim 1 is characterized by: The analysis process of the placket ironing evaluation index is as follows: Set the initial stretching force and floating force of the placket, which are recorded as and ; Get the length of the placket before and after stretching under the initial force, which are recorded as and ; The stretched length of the placket under the buoyancy force is recorded as ; By analyzing the formula Get the Placket Ironing Evaluation Index , where , They represent the weights of the stretching distance ratio and the rope pulling force ratio, respectively, and e represents a natural constant. Indicates the tensile strength of the material used to make the placket.

9. The quality assessment and early warning system for clothing single and double placket folding and ironing production according to claim 8 is characterized by: The formula for the ironing temperature adjustment factor is as follows: ； In the formula, Indicates the ironing temperature adjustment factor. Indicates the adjustment threshold of the ironing temperature reduction coefficient. When the door is detected, the corresponding equipment will be stopped and a maintenance order will be issued to the maintenance department. When the ironing is done again, , no response is given.

10. The quality assessment and early warning system for clothing single and double placket folding and ironing production according to claim 1 is characterized by: The early warning system also includes: The secondary analysis module re-irons the placket according to the adjusted parameters, and compares the ironing smoothness coefficient and the ironing evaluation index obtained from the two analyses. When the adjusted ironing smoothness coefficient and the ironing evaluation index are both within the corresponding qualified range, the adjustment data of this time is recorded as the ironing parameter of the ironing equipment; otherwise, it is adjusted again according to the obtained adjustment coefficient. When the adjusted ironing smoothness coefficient and the ironing evaluation index are both within the corresponding qualified range or the number of adjustments exceeds L times, the adjustment is stopped.

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