A shirt manufacturing process optimization method

Abstract

The present application provides a method for optimizing the manufacturing process of a shirt, which relates to the technical field of process optimization. The method obtains information on the main fabric of the shirt; determines multiple key process positions and their shaping insert information; evaluates the structure and material information of the shaping insert information and the main fabric information to obtain a compatible matching degree; outputs a fitting matching degree based on the structure and the compatible matching degree; optimizes the manufacturing process for the key process positions based on the fitting matching degree, thereby solving the technical problem in the prior art that the shaping insert at the key process position in the shirt manufacturing process is not accurately matched with the main fabric of the shirt, resulting in unstable quality of the finished shirt, affecting wearing comfort and overall aesthetics, and achieving the technical effect of improving the accuracy of the shirt manufacturing process, ensuring the best matching between the shaping insert and the main fabric of the shirt, and thus improving the quality of the finished shirt and wearing comfort.

Description

Technical Field

[0001] The invention relates to the technical field of process optimization, and in particular to a method for optimizing the process of shirt manufacturing. Background Art

[0002] In the traditional shirt manufacturing process, the selection of shaping inserts at key process positions such as shirt collars, cuffs and hems and the matching of the main fabric of the shirt mainly rely on the experience and intuition of the craftsman. This method is not only inefficient, but also difficult to ensure that the best matching effect can be achieved in each production, thus affecting the quality of the finished shirt and the wearing comfort. As consumers' requirements for product quality are increasing, a more scientific and systematic process optimization method is urgently needed to ensure the best match between the shaping inserts at key process positions in shirt production and the main fabric of the shirt, thereby improving the quality of the finished product and the wearing comfort.

[0003] In summary, the prior art has a technical problem in that the shaping insert at the key process position in the shirt manufacturing process is not accurately matched with the main fabric of the shirt, resulting in unstable quality of the finished shirt and affecting wearing comfort and overall aesthetics. Summary of the invention

[0004] The present application provides a method for optimizing the shirt manufacturing process, which is used to solve the technical problem in the prior art that the shaping inserts at key process positions in the shirt manufacturing process are not accurately matched with the main fabric of the shirt, resulting in unstable quality of the finished shirt and affecting wearing comfort and overall aesthetics.

[0005] The present application provides a method for optimizing a shirt manufacturing process, the method comprising:

[0006] Acquire shirt main body fabric information; determine multiple key process positions, wherein the multiple key process positions include shirt collar process position, shirt cuff process position and shirt hem process position; acquire multiple shaping insert information corresponding to the multiple key process positions, wherein each shaping insert information includes insert structure information and insert material information; evaluate the insert structure information and insert material information of each shaping insert information with the shirt main body fabric information to acquire multiple structural matching degrees and multiple compatible matching degrees; output multiple fitting matching degrees according to the multiple structural matching degrees and multiple compatible matching degrees, wherein the multiple fitting matching degrees correspond to the multiple shaping insert information, and the multiple fitting matching degrees are used to identify the fitting matching effect between each shaping insert and the shirt main body fabric; optimize the manufacturing process of the multiple key process positions according to the multiple fitting matching degrees.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] The present application provides a method for optimizing the shirt manufacturing process, which includes obtaining the main fabric information of the shirt; determining a plurality of key process positions, wherein the plurality of key process positions include the process position of the shirt collar, the process position of the shirt cuffs, and the process position of the shirt hem; obtaining a plurality of fixed insert information corresponding to the plurality of key process positions, wherein each fixed insert information includes insert structure information and insert material information; evaluating the insert structure information and insert material information of each fixed insert information with the main fabric information of the shirt to obtain a plurality of structural matching degrees and a plurality of compatible matching degrees; outputting a plurality of fitting matching degrees according to the plurality of structural matching degrees and the plurality of compatible matching degrees, wherein the plurality of fitting matching degrees are compatible with the plurality of The invention relates to a plurality of shaping inserts, wherein the plurality of fitting matching degrees are used to identify the fitting matching effect between each shaping insert and the main fabric of the shirt; the manufacturing process of the plurality of key process positions is optimized according to the plurality of fitting matching degrees, so as to solve the technical problem that the shaping inserts at the key process positions in the shirt manufacturing process are not accurately matched with the main fabric of the shirt, resulting in unstable quality of the finished shirt and affecting wearing comfort and overall aesthetics, and achieves the technical effect of improving the accuracy of the shirt manufacturing process, ensuring the best matching between the shaping inserts and the main fabric of the shirt, thereby improving the quality of the finished shirt and wearing comfort, which not only meets the consumers' dual pursuit of fashion and quality, but also improves the production efficiency of the finished product. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A schematic flow chart of a shirt manufacturing process optimization method is provided for this application.

[0010] Figure 2 A schematic flow chart of a shirt manufacturing process optimization method based on fit matching is provided for this application. DETAILED DESCRIPTION

[0011] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0012] Examples, such as Figure 1 As shown, the present application provides a method for optimizing a shirt manufacturing process, the method comprising:

[0013] Step S100: obtaining shirt main fabric information.

[0014] Specifically, the acquisition of fabric information not only provides basic data support for the subsequent optimization of the production process, but also directly affects the quality and style of the final product. First, obtain a variety of shirt main fabric samples from suppliers. These samples should cover fabrics of different materials (such as cotton, linen, silk, blended, etc.), colors, textures and thicknesses to meet different design styles and market needs. Then, use professional equipment to perform performance tests on fabric samples, including but not limited to breathability tests, hygroscopicity tests, abrasion resistance tests and color fastness tests. Among them, the breathability test refers to the evaluation of the fabric's resistance to air circulation to ensure comfort when wearing; the hygroscopicity test can measure the fabric's ability to absorb and release moisture, which is suitable for wearing needs under different climatic conditions; and the abrasion resistance test simulates the friction and wear in daily wear to evaluate the durability of the fabric; and the color fastness test refers to the inspection of the color stability of the fabric under conditions such as light and washing.

[0015] Based on the test results, a comprehensive analysis of the fabric's physical and chemical properties is conducted, such as the fabric's elasticity, stretchability, wrinkle resistance, softness, etc. These properties will directly affect the shirt's pattern, wearing experience, and the selection of subsequent production processes. Suppose a cotton blended fabric is found to have good air permeability and moisture absorption, as well as excellent abrasion resistance and color fastness in the test, then this fabric will be considered an ideal choice for making casual-style shirts, because it can meet the comfort requirements of daily wear while ensuring the durability and aesthetics of the shirt.

[0016] Step S200: determining a plurality of key process positions, wherein the plurality of key process positions include a shirt collar process position, a shirt cuff process position and a shirt hem process position.

[0017] Optionally, during the shirt manufacturing process, the positions of key process points are determined. These key process positions include the shirt collar, cuffs and hem, which not only bear the support and shaping functions of the shirt, but also directly affect the wearing comfort and overall visual effect. Therefore, by determining the positions of key process points, the quality and aesthetics of the final product can be ensured.

[0018] As one of the visual focal points of a shirt, the collar process requires extremely high precision and stability to ensure that the collar is crisp and the lines are smooth. That is to say, the collar should remain upright and not collapse when worn, showing a good version effect. The cutting lines should be natural and continuous without any abruptness or distortion. The cuffs of a shirt are the most active areas of the shirt, and its production process needs to consider wear resistance, comfort and aesthetics. Common processes include cuff folding and cuff buttons. The hem of the shirt is the bottom edge of the shirt, and its production needs to ensure that it is flat and not easily deformed. At the same time, special treatments may be required according to design requirements, such as curved hems and slits. By determining these key process positions, the foundation for process optimization can be laid.

[0019] Step S300: Acquire multiple pieces of finalized insert information corresponding to the multiple key process positions, wherein each piece of finalized insert information includes insert structure information and insert material information.

[0020] For example, shaping inserts are used as auxiliary materials in shirt production and are cleverly applied to key process locations such as collars, cuffs and hems. Their main function is to enhance the stability of these locations, maintain their specific shapes and contours, and improve wearing comfort and aesthetics. Shaping inserts not only provide the necessary support and shaping effects for key locations of shirts, but also directly affect the overall quality and wearing experience of the shirts.

[0021] The information of multiple shaping inserts corresponding to multiple key process positions is obtained, including the information of the insert structure and the insert material of each shaping insert, to provide support for parameter matching during subsequent process optimization. The insert structure refers to the physical properties of the shaping insert, such as the shape, size, thickness, and connection method with other components. The shape and size of the insert required for each key process position can be determined according to the design drawings and process requirements of the shirt. For example, the collar insert may need to be designed into an arc or right angle that matches the collar shape; the cuff insert needs to consider the cuff width and folding method. Subsequently, the insert template is drawn using CAD software or manually to ensure the accuracy and consistency of the insert. The insert material refers to the raw materials used to make the shaping insert, such as cardboard, plastic sheets, resin sheets or special fiber materials. The selection of these materials needs to consider factors such as their compatibility with the main fabric of the shirt, support, durability, and environmental protection. The appropriate insert material can be selected according to the style, fabric characteristics and wearing requirements of the shirt. For example, for a formal shirt collar that requires high support and stiffness, a resin or plastic sheet with higher hardness may be selected; while for a casual shirt cuff that pursues comfort and softness, an insert made of a special fiber material may be preferred. At the same time, after selecting the material, the performance of the material needs to be tested and verified to ensure that it meets the process requirements and usage standards.

[0022] Take the collar of a shirt as an example. If the design requires the collar to be crisp and smooth, then when obtaining the collar insert information, the shape of the insert is determined to be an arc according to the collar type, and the specific size parameters are measured. Then, according to the fabric characteristics and wearing comfort requirements, a resin sheet with a certain hardness and good bonding with the fabric is selected as the insert material. Finally, the insert material is cut into shape according to the template, and accessories such as interfaces or adhesives connected to the collar are prepared.

[0023] Through this step, it can be ensured that each key process position can obtain appropriate shaping insert support, laying a solid foundation for subsequent production process optimization.

[0024] Step S400: evaluating the insert structure information and the insert material information of each shaping insert information with the shirt main body fabric information to obtain a plurality of structural matching degrees and a plurality of compatible matching degrees.

[0025] Furthermore, the structural matching degree refers to the degree of fit between the shape, size, thickness and other structural characteristics of the designated insert and the key process positions of the shirt (such as the collar, cuffs and hem). A high structural matching degree means that the insert can fit tightly and support these parts, maintaining its specific shape and contour. The compatibility matching degree refers to the physical and chemical compatibility of the designated insert material and the main fabric of the shirt. A high compatibility matching degree means that the two are not prone to chemical reactions, fading, deformation and other problems when in contact, and can maintain good wearing comfort and durability.

[0026] Organize the acquired information of the finalized insert and the main fabric information of the shirt. This information should be detailed and accurate for subsequent comparative analysis. Use CAD software or manual comparison to overlap and compare the insert template with the key process position on the shirt design drawing to check whether the shape and size of the insert are consistent with the design requirements. Evaluate whether the thickness of the insert is suitable for the support needs of the part, ensuring sufficient stiffness and avoiding discomfort caused by excessive thickness. At the same time, consider the connection method and interface design of the insert and the surrounding fabric to ensure that the connection is firm and does not affect the overall appearance. Further, analyze the composition and properties of the insert material, such as hardness, elasticity, heat resistance, moisture resistance, etc., and compare them with the corresponding properties of the main fabric of the shirt. Conduct a sample test, place the insert material and the fabric sample in a specific environment (such as high temperature and humidity) to observe their changes, and check whether there is fading, deformation, wrinkling, etc. And evaluate the friction coefficient and comfort of the two when they are in contact to ensure that there is no discomfort when wearing due to material incompatibility. Finally, according to the results of comparative analysis, specific values ​​or grades of structural matching and compatibility matching are assigned to each standardized insert. These values ​​or grades should be based on objective evaluation criteria and quantitative scoring standards to facilitate subsequent comparison and decision-making.

[0027] Take the shirt collar insert as an example, assuming that its structure is arc-shaped and its size precisely matches the collar design, and the insert material is a resin sheet with good compatibility with the shirt fabric. During the evaluation process, CAD comparison confirmed that the insert shape is completely consistent with the collar design; the sample test showed that the resin sheet had no obvious deformation at high temperature and had no adverse reaction when in contact with the fabric; the wearing test showed that the collar area was crisp and comfortable without pressure. Therefore, the collar insert received a high score for structural matching and compatibility matching.

[0028] Through in-depth evaluation in this step, we can quantitatively screen out the combination of shaping inserts that best matches the main fabric of the shirt, ensuring the accuracy of the production process and providing strong support for subsequent production process optimization.

[0029] Step S500: Output multiple fit matching degrees according to the multiple structural matching degrees and the multiple compatible matching degrees, wherein the multiple fit matching degrees correspond to the multiple shaping insert information, and the multiple fit matching degrees are used to identify the fit matching effect between each shaping insert and the main fabric of the shirt.

[0030] Subsequently, multiple fit matching degrees can be outputted according to multiple structural matching degrees and multiple compatible matching degrees. The fit matching degree is a comprehensive index used to identify the overall matching effect between each shaping insert and the main fabric of the shirt. It comprehensively considers the structural characteristics of the insert (such as shape, size, thickness) and the degree of fit of the key process position of the shirt (i.e. structural matching degree), as well as the compatibility of the insert material with the main fabric of the shirt (i.e. compatible matching degree). A high fit matching degree means that the insert can not only perfectly support and shape, but also coexist harmoniously with the fabric, improving the overall quality and wearing experience of the shirt.

[0031] Specifically, firstly, appropriate weights are assigned to the structural matching and compatible matching according to the design requirements and process experience, and the weight assignment should be based on the evaluation of the importance of the two to the final fitting effect. Then, the structural matching and compatible matching of each shaped insert are multiplied by their corresponding weights to obtain the weighted matching value, and then the two weighted values ​​are added to obtain the total score of the fitting matching of the insert. In order to more intuitively compare the fitting matching of different inserts, the total scores of the fitting matching of all inserts can also be standardized and converted into scores of 0-100 or other values ​​of uniform dimensions, which are not limited here. Finally, the fitting matching results of each shaped insert are organized into tables or charts for easy viewing and comparison. For inserts with low fitting matching, the reasons should be analyzed (such as structural mismatch, material incompatibility, etc.) and suggestions for improvement should be put forward or the insert scheme should be reselected. The fitting matching results are used as an important reference for the subsequent optimization of the manufacturing process to ensure that each key process position can obtain the best support and shaping effect.

[0032] Assume that during the evaluation process, the structural matching score of the shirt collar insert is 90 points (weight 0.6) and the compatibility matching score is 85 points (weight 0.4). Through weighted average calculation, the total fit matching score of the collar insert is: 90×0.6+85×0.4=88. Outputting this result and comparing it with the fit matching of other fixed inserts can clearly show how the collar insert performs in terms of overall matching effect. If the fit matching is high, it means that the insert matches the main fabric of the shirt well; otherwise, further analysis and improvement are needed.

[0033] Through the output and comparison of this step, the fit and matching effect between each shaping insert and the main fabric of the shirt can be grasped more accurately, which improves the accuracy and efficiency of the process and ensures the quality of the finished product.

[0034] Step S600: optimizing the manufacturing process for the plurality of key process positions according to the plurality of lamination matching degrees.

[0035] Specifically, the manufacturing process of multiple key process positions is optimized according to the multiple fit matching degrees calculated previously to improve the overall quality and wearing experience of the shirt. The manufacturing process optimization aims to maximize the quality and efficiency of the product by adjusting and optimizing each link in the production process. In the production of shirts, the fit matching degree of key process positions is optimized to ensure the perfect fusion between the shaping insert and the main fabric of the shirt, thereby improving the shape, comfort and durability of the shirt.

[0036] Analyze the fit and match scores of each key process position and identify areas with low scores or problems. For fit and match scores with low scores, analyze the reasons behind them in depth, such as unreasonable insert structure design, improper material selection, and lax production process control. For low structural matching, consider adjusting the shape, size, or thickness of the insert and other structural parameters to better meet the needs of the key process positions of the shirt; if the compatibility is low, it may be necessary to replace the insert material with better compatibility with the main fabric of the shirt. When selecting materials, it is necessary to comprehensively consider its physical and chemical properties such as hardness, elasticity, heat resistance, and moisture resistance; at the same time, during the production process, strengthen the process control of the joints between the insert and the fabric, such as improving sewing technology, increasing bonding strength, and optimizing ironing technology, to ensure that the insert and the fabric are tightly combined and well matched. Make sample shirts according to the optimization plan, try them on and evaluate them, and verify the effectiveness of the optimization measures through actual wearing experience. Afterwards, collect feedback from the wearers to understand the performance of the optimized shirt in terms of version, comfort, durability, etc., and make necessary adjustments and improvements to the optimization plan based on the feedback until a satisfactory effect is achieved.

[0037] Furthermore, according to the evaluation of the insert structure information and the insert material information of each fixed insert information and the shirt main body fabric information, step S400 of the present application further includes:

[0038] Step S410 - 1 : if the plurality of key process positions correspond to the same plurality of insert material information, obtain the plurality of to-be-sewn structure information corresponding to the plurality of key process positions.

[0039] Step S420 - 1 : Evaluate the plurality of to-be-sewn structure information and the plurality of insert structure information to obtain a plurality of structure matching degrees.

[0040] Specifically, when it is found that multiple key process positions correspond to the same insert material information, a preliminary assessment of the material matching is performed, including comparing the compatibility of these insert materials with the main fabric of the shirt, such as whether chemical reactions will occur, whether it will affect the breathability and comfort of the fabric, etc. If the material matching is high, the next step of the structural matching assessment is continued; if the material matching is low, it is necessary to consider replacing the insert material or adjusting the main fabric of the shirt. After the preliminary material matching assessment is passed, for each key process position, the corresponding structure information to be sewn is obtained, including the specific position, shape, size of the position on the shirt, and the way it needs to be combined with the insert, etc. This information is an important basis for the subsequent structural matching assessment.

[0041] Furthermore, a detailed evaluation is performed on multiple to-be-sewn structural information and multiple insert structural information to obtain multiple structural matching degrees. During the evaluation process, specific attention needs to be paid to the matching of shape, size, curvature and combination method. Shape matching refers to checking whether the shape of the insert matches the shape of the position to be sewn to ensure that the insert can be accurately embedded and fit; size matching refers to measuring whether the size of the insert is consistent with the size of the position to be sewn to avoid mismatching problems caused by being too large or too small; curvature matching refers to evaluating whether the curvature of the insert that needs to be bent (such as the collar insert) matches the curvature of the position to be sewn to ensure that the insert can fit naturally and does not affect the overall appearance of the shirt; and combination matching refers to evaluating whether the combination method (such as sewing, bonding, etc.) between the insert and the main fabric of the shirt is appropriate to ensure that the combination is firm and does not affect the wearing comfort. Through this series of evaluation processes, the structural matching degree of the position insert and the main fabric of the shirt can be obtained, which provides a basis for the subsequent optimization of the production process.

[0042] Furthermore, according to the evaluation of the insert structure information and the insert material information of each fixed insert information and the shirt main body fabric information, step S400 of the present application further includes:

[0043] Step S410 - 2 : if the plurality of key process positions correspond to different pieces of insert material information, the polarity of the insert material and the polarity of the shirt main fabric are determined according to the plurality of pieces of insert material information and the shirt main fabric information.

[0044] Step S420-2: Perform a sample compatibility test based on the polarity of the insert material and the polarity of the shirt main fabric to obtain compatibility test data.

[0045] Step S430 - 2 : obtaining a plurality of compatibility matching degrees according to the compatibility test data.

[0046] Optionally, polarity is an important concept in materials science, which refers to the uneven distribution of positive and negative charges between molecules of a substance. In the field of clothing, the difference in polarity of different materials may affect their adhesion, breathability and perspiration performance. Specifically, if it is found that the insert material information corresponding to multiple key process positions (such as collars, cuffs, plackets, etc.) is different, it is necessary to compare the polarity of these insert materials with the main fabric of the shirt one by one. For example, the collar insert of a shirt is made of polyester fiber, while the main fabric is cotton. Polyester fiber is generally considered to be a low-polarity material, while cotton exhibits a higher polarity because it contains hydrophilic groups. Such a difference in polarity may affect the binding force between the two.

[0047] Next, the compatibility test of the samples is conducted based on the polarity judgment of the insert material and the main fabric of the shirt to evaluate the combination effect of the two in actual application. The test can be completed by various means such as physical property tests (such as tensile strength test, peel strength test) and chemical property tests (such as wash fastness test, rubbing fastness test), which are designed to simulate various conditions during the wearing and washing of clothing to test the adhesion, fading and overall durability between the insert and the main fabric. For example, in the peel strength test, after the insert and the main fabric are combined according to the actual sewing method, professional equipment is used to peel them vertically or horizontally, and the maximum force required is recorded. The larger the value, the stronger the bonding between the two and the better the compatibility.

[0048] Then, based on the compatibility test data, combined with the preset evaluation criteria or historical data comparison, a compatibility matching value is assigned to each combination of the insert material and the main fabric of the shirt. This value can be a percentage, grade score or other quantitative indicators. The evaluation results will directly guide subsequent production decisions. Combinations with high compatibility matching can be used directly in production; for combinations with low matching, it is necessary to consider replacing the insert material, adjusting the sewing process or taking other remedial measures.

[0049] Through the above steps, we can clearly understand how to evaluate the compatibility between the shaping insert and the main fabric of the shirt based on the insert structure information, material information, and the main fabric information of the shirt, so as to ensure the overall quality and wearing experience of the garment.

[0050] Furthermore, after outputting a plurality of fit matching degrees, step S500 of the present application further includes:

[0051] Step S510: Acquire multiple sets of sewing parameters corresponding to the multiple key process positions, wherein each set of sewing parameters includes sewing density, sewing method and sewing stitch.

[0052] Step S520: performing sewing fitting impact analysis on the multiple key process positions according to the sewing density, sewing method and sewing stitches, and outputting multiple sewing impact indicators.

[0053] Step S530: Optimizing the multiple fitting matching degrees according to the multiple sewing influence indicators.

[0054] For example, after completing multiple fit and matching evaluations, in order to ensure the best sewing fit effect at the key process positions of the shirt, it is necessary to pay close attention to the selection of sewing parameters and their impact on fit and matching. Sewing parameters refer to a series of technical indicators required for sewing operations, which directly affect the firmness, aesthetics and comfort of sewing. For each key process position (such as collar, cuffs, placket, etc.), the corresponding sewing parameters need to be set according to its specific needs and material properties. Among them, the sewing parameters include sewing density, sewing method and sewing stitch. The sewing density refers to the number of stitches per unit length, which determines the tightness of the sewing. High-density sewing can enhance the firmness of the stitches, but may also affect the softness and breathability of the fabric; the sewing methods include flat seams, hemming seams, lock seams and other types. Each method has its applicable scenarios and advantages and disadvantages. For example, hemming seams can effectively prevent wear on the edges of the fabric, while lock seams can increase the strength and aesthetics of the sewing; the sewing stitch refers to the trajectory and shape of the stitches on the fabric, which affects the appearance of the sewing. Different stitch designs can present different styles and textures.

[0055] Based on the obtained sewing parameters, the sewing fit impact analysis of multiple key process positions is carried out to evaluate the potential impact of sewing operations on the fit between the insert and the main fabric under different sewing parameter combinations. Specifically, firstly, simulation or actual sewing tests are carried out according to different combinations of sewing density, sewing method and sewing stitch. Then, the fit effect after sewing is observed and recorded, including the firmness of the seams, the flatness of the fabric, the edge treatment effect, etc. Finally, through comparative analysis, the positive or negative impact of each sewing parameter combination on the fit matching is evaluated. Assuming that at the collar position, a sewing parameter combination of high-density flat seams and straight stitches is used for testing, the test results show that although the firmness of the seams has been significantly improved, the fabric at the edge of the collar has slightly wrinkled due to the large tension, which indicates that this sewing parameter combination may have a certain negative impact on the fit matching while enhancing the firmness.

[0056] Finally, multiple fit matching degrees are optimized according to the results of the sewing fit impact analysis, and then the best solution that can ensure sewing quality and improve fit matching is found. Identify the sewing parameter combinations that have a significant negative impact on fit matching, and consider replacing them with other more suitable combinations. For example, for the test results of the collar position mentioned above, you can try to reduce the sewing density or use the hemming method to reduce fabric wrinkling, and then re-perform sewing tests and fit matching evaluations until a satisfactory optimization solution is found. Apply the optimized sewing parameters to actual production, and continuously monitor and evaluate their effects. At the same time, record successful optimization cases as a reference and reference for similar projects in the future.

[0057] Through the above steps, not only the overall quality of the product is improved, but also the company's production efficiency and customer satisfaction are positively affected.

[0058] Furthermore, if Figure 2 As shown, the manufacturing process of the multiple key process positions is optimized according to the multiple fit matching degrees. Step S600 of the present application also includes:

[0059] Step S610 - 1 : Identify abnormal critical process positions whose matching degrees are less than a preset matching degree among the plurality of matching degrees.

[0060] Step S620-1: Determine the abnormal manufacturing process at the abnormal key process position, wherein the abnormal manufacturing process includes a structural manufacturing process and / or a material selection process.

[0061] Step S630-1: Optimizing the abnormal manufacturing process until the multiple fitting matching degrees are greater than or equal to the preset matching degree.

[0062] Furthermore, positions with a fit degree less than a preset match degree are identified from the fit matching degrees of multiple key process positions, and these positions are regarded as abnormal key process positions. Among them, the preset match degree is a pre-set threshold value set according to product standards and customer needs, which is used to judge the quality of the fitting effect. The abnormal key process positions refer to key process positions whose fit matching degrees are lower than the preset match degree, and they require special attention and optimization. For each identified abnormal key process position, its manufacturing process needs to be further analyzed to determine the root cause of the low fit matching degree. The manufacturing process here mainly includes structural manufacturing process and / or fabric selection process. The structural manufacturing process involves the process of designing, cutting, splicing and other processes of the product structure, which determines the shape and stability of the product; the fabric selection process refers to the process of selecting suitable fabric material, thickness, elasticity and other characteristics according to product needs and design requirements. Assuming that the fit at the collar position is lower than the preset fit, it is found through inspection that the fit problem at this position is mainly due to the unreasonable collar structure design, which causes unnecessary wrinkles in the fabric during the sewing process. At the same time, the lack of elasticity of the selected fabric also aggravates the fit problem. Therefore, it can be determined that the abnormal manufacturing process at this position includes the structural manufacturing process and the fabric selection process.

[0063] Develop corresponding optimization plans for the identified abnormal production processes, and implement and verify them until the fit and match of all key process positions reaches or exceeds the preset fit and match. For example, for problems with the structure design and fabric selection of the collar position, the collar structure can be redesigned, lining can be added to increase support, and fabrics with better elasticity can be replaced. After the optimization is implemented, the fit and match of the collar position is evaluated again, and a fitting test is performed to verify the optimization effect. If the results are satisfactory, the optimization plan is applied to subsequent production; if there are still problems, the optimization plan is adjusted and iterated.

[0064] Through the above steps, it can be seen that the process of optimizing the manufacturing process for abnormal critical process positions is a cyclic process of continuous analysis, plan formulation, implementation verification and adjustment iteration. This process aims to ensure that the fit of all key process positions reaches or exceeds the preset match through accurate problem identification, scientific plan formulation, strict implementation verification and timely adjustment and optimization, thereby improving the overall product quality and customer satisfaction.

[0065] Furthermore, the manufacturing process of the plurality of key process positions is optimized according to the plurality of lamination matching degrees, and step S600 of the present application further includes:

[0066] Step S610 - 2 : If the plurality of fitting matching degrees are all greater than or equal to the preset matching degree, a finished shirt model is obtained based on a modeling technology.

[0067] Step S620 - 2 : Setting a temperature control module, wherein the temperature control module is connected to the finished shirt model, and performing temperature sensing simulation on the finished shirt model by controlling the temperature control module.

[0068] Specifically, when the matching degree of all positions meets or exceeds the preset matching degree (i.e., the quality standard line set in advance), it indicates that the current process has reached a high level of accuracy. Then, advanced modeling technology (such as 3D scanning, CAD design software, etc.) is used to accurately construct the finished model of the shirt according to the optimized process parameters and size data. This process not only restores the real shape of the shirt, but also enables multi-angle and all-round review in a virtual environment, which is convenient for discovering potential design or process problems. In addition, in order to simulate the performance of the shirt under different environmental conditions, especially the temperature changes that may be encountered during wearing, a special temperature control module can be set up. This module can be part of the software simulation and can simulate the temperature change scene. The temperature control module is connected to the finished shirt model directly or indirectly to ensure that the temperature control instruction can accurately act on the model. By operating the temperature control module, a series of temperature change simulations are performed on the finished shirt model, including the gradual heating process from normal temperature to high temperature, or simulating the influence of human body temperature on the shirt fabric when wearing. During the simulation process, the morphological changes, fabric elasticity, breathability and other information of the model at different temperatures are continuously monitored and recorded. Temperature simulation is an important means to evaluate the adaptability and durability of shirts under different environmental conditions, helping to detect and solve potential problems in advance, such as fabric deformation, shrinkage, and lack of breathability.

[0069] Assuming that in the optimized shirt manufacturing process, the fit between the collar and the body of the shirt reaches 98%, far exceeding the preset 95% matching standard. When constructing the finished shirt model, the designer uses CAD software to accurately draw every detail, including the stiffness of the collar and the closing method of the cuffs. Subsequently, the model was imported into the temperature simulation software, and a simulation scene was set up with a gradual temperature increase from 20°C to 40°C to simulate the wearing of the shirt in a high temperature environment in summer. During the simulation process, the software automatically recorded the expansion ratio and air permeability changes of the fabric at different temperatures, and found that the air permeability of the fabric decreased slightly when it was above 35°C, but it was still within an acceptable range. This finding provides an important reference for subsequent fabric selection or process adjustments.

[0070] By verifying the results of process optimization, building a finished shirt model and conducting temperature simulation, we ensure that the shirt can maintain excellent fit and performance under different environmental conditions, thereby improving product quality and user satisfaction.

[0071] Furthermore, by controlling the temperature control module to perform temperature sensing simulation on the finished shirt model, step S620 of the present application further includes:

[0072] Step S621 - 1 : According to the temperature control module, a first temperature state is set, wherein the first temperature state is a user-felt temperature.

[0073] Step S622 - 1 : collecting a first set of multiple change features of the shirt finished product model at the multiple key process positions under the first temperature state.

[0074] Step S623-1: Optimizing the plurality of fitting matching degrees according to the first plurality of change features.

[0075] Further, a first temperature state representing the user's perceived temperature is determined based on user surveys, industry standards or experimental data. This temperature is usually the temperature range that people feel most comfortable when wearing shirts in daily life, such as a specific value between 25°C and 30°C, such as 28°C. This step is the basis of simulation to ensure that subsequent analysis and optimization can be close to the actual use scenario. The finished shirt model is placed in the temperature control module and adjusted to the set first temperature state. Subsequently, the first set of multiple change features of the finished shirt model at multiple key process positions at this temperature are collected by means of high-precision sensors, visual inspection systems, etc. These change features may include the fabric's stretch rate, wrinkles, color changes, air permeability changes, etc., which directly reflect the physical properties and appearance of the shirt at different temperatures. Assuming that at a user's perceived temperature of 28°C, it is found that the cuffs and sleeves of the shirt have slight wrinkles at the joint after being heated for a long time, while the fit between the collar and the body of the shirt remains good. These specific change features will be recorded as a basis for subsequent optimization. Furthermore, based on the first set of change features collected, the multiple fit matching degrees previously determined are further analyzed and optimized. This step may involve two levels: first, adjusting process parameters according to fabric characteristics to reduce or eliminate adverse changes (such as wrinkles); second, enhancing the stability and durability of key process positions through design adjustments (such as adding reinforcement strips, improving sewing methods, etc.). For example, to address the problem of cuff wrinkles, you may consider replacing fabrics that are more resistant to high temperatures or have better wrinkle resistance, or adding ironing and shaping steps during the sewing process. At the same time, you may also fine-tune the sewing method of the cuffs, such as using a tighter stitch length or special stitching to improve its wrinkle resistance.

[0076] Through the above steps, not only can the temperature sensing simulation of the finished shirt model be performed under the user's body temperature, but the shirt manufacturing process can also be optimized in a targeted manner according to the simulation results. This optimization method based on actual usage scenarios helps to improve the wearing comfort and overall quality of the shirt and meet consumers' demand for high-quality clothing.

[0077] Furthermore, by controlling the temperature control module to perform temperature sensing simulation on the finished shirt model, step S620 of the present application further includes:

[0078] Step S621 - 2 : According to the temperature control module, a second temperature state is set, wherein the second temperature state is a hot environment temperature and a cold environment temperature.

[0079] Step S622 - 2 : collecting a second set of multiple change features of the shirt finished product model at the multiple key process positions under the second temperature state.

[0080] Step S623-2: Optimizing the plurality of fitting matching degrees according to the second plurality of change features.

[0081] Specifically, in order to more comprehensively evaluate the performance of the shirt under different extreme temperature conditions, the setting of the second temperature state can be added, namely the hot environment temperature and the cold environment temperature. Specifically, after completing the simulation of the user's perceived temperature (ie, the first temperature state), the second temperature state is set to cover a wider temperature range. Here, the second temperature state is subdivided into hot environment temperature and cold environment temperature. The hot environment temperature may be set to be close to or slightly higher than the temperature that the human body may encounter in a high temperature environment, such as between 35°C and 40°C; while the cold environment temperature is set to a lower temperature, such as between 5°C and 10°C, to simulate wearing conditions in cold weather. These settings are designed to simulate the performance of shirts in extreme environments.

[0082] Next, the finished shirt model is placed in the temperature control module and adjusted to the set hot and cold ambient temperatures respectively. At each temperature, the same detection means (such as high-precision sensors, visual inspection systems, etc.) are used to collect a second set of multiple change characteristics of the shirt at multiple key process positions. These change characteristics include the thermal shrinkage, cold expansion, elastic recovery, color stability, air permeability changes of the fabric, etc., which together reflect the adaptability and stability of the shirt in different temperature environments. For example, at hot ambient temperatures, it may be found that the shirt fabric has a certain degree of thermal shrinkage, resulting in a slight decrease in the fit of certain key process positions (such as the joint between the cuff and the sleeve); at cold ambient temperatures, the fabric may become more rigid, affecting the comfort of wearing. These specific change characteristics will be recorded in detail to provide a basis for subsequent optimization.

[0083] Finally, based on the second set of change characteristics collected at hot and cold ambient temperatures, the multiple fit matching of the shirt is comprehensively analyzed and optimized, such as adjusting the selection of fabrics, improving the sewing process, adding auxiliary materials, etc., in order to ensure that the shirt can still maintain good fit and wearing performance under extreme temperature conditions. For example, for the problem of heat shrinkage at hot ambient temperatures, you can consider using fabrics with better thermal stability or using a pre-shrinkage process; and for the problem of fabric stiffness at cold ambient temperatures, you can increase its softness and warmth by adding lining or adjusting the fabric's weaving structure. At the same time, the stitching method and reinforcement measures at key process positions can also be optimized and adjusted according to the specific change characteristics.

[0084] Through the above steps, not only can the temperature sensing simulation of the finished shirt model be performed under the user's body temperature, but its performance can also be evaluated in a wider temperature range (including hot and cold ambient temperatures), and the fit can be optimized based on the collected change characteristics, which significantly improves the adaptability and stability of the shirt under different temperature conditions, thereby providing consumers with a more comfortable and durable wearing experience.

[0085] Through the technical solutions of the above-mentioned embodiments, a method for optimizing the shirt manufacturing process provided by the present application solves the technical problem in the prior art that the shaping insert at the key process position in the shirt manufacturing process is not accurately matched with the main fabric of the shirt, resulting in unstable quality of the finished shirt and affecting wearing comfort and overall aesthetics. The method achieves the technical effect of improving the accuracy of the shirt manufacturing process, ensuring the best match between the shaping insert and the main fabric of the shirt, thereby improving the quality of the finished shirt and wearing comfort. It not only meets consumers' dual pursuit of fashion and quality, but also improves the efficiency of finished product production.

[0086] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0087] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application.

Claims

1. A method for optimizing shirt manufacturing process, characterized in that: The method comprises: Get the main fabric information of the shirt; Determine a plurality of key process positions, wherein the plurality of key process positions include a shirt collar process position, a shirt cuff process position, and a shirt hem process position; Acquire multiple pieces of finalized insert information corresponding to the multiple key process positions, wherein each piece of finalized insert information includes insert structure information and insert material information; Evaluate the insert structure information and the insert material information of each fixed insert information with the shirt main body fabric information to obtain multiple structural matching degrees and multiple compatible matching degrees; Outputting a plurality of fit matching degrees according to the plurality of structural matching degrees and the plurality of compatible matching degrees, wherein the plurality of fit matching degrees correspond to the plurality of shaping insert information, and the plurality of fit matching degrees are used to identify the fit matching effect between each shaping insert and the main fabric of the shirt; Optimizing the manufacturing process of the plurality of key process positions according to the plurality of lamination matching degrees; The step of evaluating the insert structure information and the insert material information of each fixed insert information and the shirt main body fabric information includes: If the multiple key process positions correspond to the same multiple insert material information, obtain the multiple to-be-sewn structure information corresponding to the multiple key process positions; Evaluating the plurality of to-be-sewn structure information and the plurality of insert structure information to obtain a plurality of structure matching degrees; If the plurality of key process positions correspond to different information of the plurality of insert materials, determining the polarity of the insert material and the polarity of the shirt main fabric according to the plurality of insert material information and the shirt main fabric information; Perform sample compatibility test based on the polarity of the insert material and the polarity of the shirt main fabric to obtain compatibility test data; According to the compatibility test data, obtaining multiple compatibility matching degrees; Among them, after outputting multiple fit matching degrees, it includes: Acquire multiple sets of sewing parameters corresponding to the multiple key process positions, wherein each set of sewing parameters includes sewing density, sewing method and sewing stitch; Performing sewing fitting influence analysis on the plurality of key process positions according to the sewing density, sewing method and sewing stitches, and outputting a plurality of sewing influence indicators; The plurality of fitting matching degrees are optimized according to the plurality of sewing influencing indicators.

2. A shirt manufacturing process optimization method as claimed in claim 1, characterized in that: Optimizing the manufacturing process of the plurality of key process positions according to the plurality of lamination matching degrees, the method further comprising: Identifying abnormal critical process positions with a smaller than a preset matching degree among the plurality of fitting matching degrees; Determine the abnormal manufacturing process of the abnormal key process position, wherein the abnormal manufacturing process includes a structural manufacturing process and / or a material selection process; The abnormal manufacturing process is optimized until the multiple fitting matching degrees are greater than or equal to the preset matching degree.

3. A shirt manufacturing process optimization method as claimed in claim 2, characterized in that: Optimizing the manufacturing process of the plurality of key process positions according to the plurality of lamination matching degrees, the method further comprising: If the multiple fit matching degrees are all greater than or equal to the preset matching degree, obtaining a finished shirt model based on modeling technology; A temperature control module is provided, and the temperature control module is connected to the finished shirt model, and temperature sensing simulation is performed on the finished shirt model by controlling the temperature control module.

4. A shirt manufacturing process optimization method as claimed in claim 3, characterized in that: The temperature control module is controlled to perform temperature sensing simulation on the finished shirt model, and the method includes: According to the temperature control module, a first temperature state is set, wherein the first temperature state is a user-perceived temperature; Collecting a first set of multiple change features of the finished shirt model at the multiple key process positions under the first temperature state; The plurality of fit matching degrees are optimized according to the first plurality of change characteristics.

5. The method for optimizing shirt manufacturing process according to claim 3, characterized in that: By controlling the temperature control module to perform temperature sensing simulation on the finished shirt model, the method further includes: According to the temperature control module, a second temperature state is set, wherein the second temperature state is a hot environment temperature and a cold environment temperature; collecting a second set of multiple change features of the finished shirt model at the multiple key process positions under the second temperature state; The plurality of fit matching degrees are optimized according to the second plurality of change characteristics.

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