Garment production management system

Abstract

The invention, which relates to the technical field of the production management system, discloses a garment production management system comprising a database, a data analysis processing module, an early warning module, an order selection module, a quality standard setting module, a production standard making module, a supervision module, an evaluation unit and a statistical unit. The garment production steps and the finished product quality can be managed and controlled, so that step problems and quality problems can be corrected in time, the cost loss in the garment production process is reduced, the garment production quality is improved, meanwhile, the problem that the quality management efficiency is low in traditional garment sampling inspection is solved, and the garment sampling inspection efficiency is improved. The efficiency and comprehensiveness of garment quality management are further improved, and stable quality production of garments is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of production management systems, in particular to a clothing production management system. Background Art

[0002] With the continuous development of the fashion industry, modern people are no longer satisfied with the basic function of clothing. Instead, they have higher requirements for clothing style, quality, and the degree to which it meets personal needs. Faced with this situation, clothing production management is particularly important. Clothing production management refers to the effective organization, regulation, and control of the entire clothing production process to achieve quality control, cost control, and delivery control. An effective clothing production management system can help companies achieve high efficiency, low cost, and high quality production.

[0003] During the production process, garment quality management is crucial. Ensuring that every piece meets quality standards requires quality inspections at every stage of production. If any issues are found, corrective measures should be taken immediately to prevent them from being transferred to the next stage. However, existing methods for garment production quality management rely primarily on manual spot checks, often performed on finished garments. This results in low quality management efficiency and makes it difficult to ensure comprehensive quality management. To address this issue, we propose a garment production management system. Summary of the Invention

[0004] The purpose of the present invention is to provide a clothing production management system to solve the problems raised by the above background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A clothing production management system, comprising:

[0006] The database is used to store the set clothing styles including style features and style data, and also stores the set reference quality standards and reference production step standard data.

[0007] The data analysis and processing module is used to analyze and process data in the clothing production process.

[0008] The early warning module is used to provide timely early warning prompts when problems occur in production steps and production quality.

[0009] The order selection module is used for order selection in the clothing production process and produces clothing of corresponding styles according to the selected orders. Specifically, different styles of clothing have different style characteristics. When the style order is selected for production, its style characteristics will be displayed synchronously, its style data will be obtained, and clothing production will be carried out based on the style characteristics.

[0010] The quality standard setting module is used to formulate the quality standards of the corresponding clothing during the production process. Specifically, an excellent finished product is selected from the finished products of the corresponding clothing production as a quality specimen, which is used for subsequent reference testing of the quality of the finished products of the corresponding clothing production, and is sent to the evaluation unit and the production standard formulation module.

[0011] The production standard formulation module is used to formulate the production operation standards for corresponding clothing in the production process. Specifically, the production process corresponding to the clothing quality specimen is selected as the production standard for production recording, and the recorded material is refined and used as a reference for the production standard steps for subsequent standard determination of the corresponding clothing production and sent to the evaluation unit.

[0012] The supervision module is used to monitor the clothing production process and quality in real time, and transmit the supervision results to the evaluation unit in real time.

[0013] The evaluation unit is used to match the received production process and quality data with the reference standards and score them accordingly. It determines whether the quality of the clothing meets the standards based on the scoring results. At the same time, it finds out the shortcomings of the production process and quality based on the scoring results and makes improvements.

[0014] The statistical unit is used to count the qualified points and unqualified points corresponding to the clothing production process and quality, and optimize the production process and quality according to the qualified points, and adjust the production process and quality according to the unqualified points.

[0015] As a further improvement of the present invention, clothing production is performed based on style features and acquired style data, specifically:

[0016] Obtain the corresponding clothing style through the selected production order, and obtain the corresponding style features based on the clothing style, including clothing color, pattern, structure and size;

[0017] At the same time, based on the clothing style, the style data of the clothing can be directly obtained, including structure and size, that is, the shape frame and size of the clothing, and the color and pattern parameters of the corresponding structure and size clothing can be obtained accordingly;

[0018] The above style features and data can all be obtained through the set order style drawings, so that the corresponding clothing styles can be obtained based on the order selection for clothing production.

[0019] As a further improvement of the present invention, it is formulated based on the quality standards of the corresponding clothing during the production process, specifically:

[0020] By selecting an excellent finished product from the finished products of the garments corresponding to the order as the quality sample, the specific selection criteria are: the structure and size of the corresponding garment production match the structure and size of the garment design drawing, and the one with the higher similarity value is selected as the quality sample 1;

[0021] Based on the matching of the color and pattern of the clothing of quality sample 1 with the color and pattern of the clothing design drawing, the one with the higher similarity value is selected as quality sample 2;

[0022] When quality specimen 1 and quality specimen 2 are the same finished garment, the garment becomes the quality specimen and is used as a reference for subsequent quality testing of the corresponding garment.

[0023] As a further improvement of the present invention, it is formulated based on the production operation standards of the corresponding clothing during the production process, specifically:

[0024] The production process of the garment quality specimens is recorded using intelligent camera equipment, and the recorded material is subjected to image segmentation and refinement processing. Specifically, the production steps within each production image are analyzed and extracted, and used as a reference standard for subsequent corresponding garment production steps;

[0025] Specifically, the subsequent production steps of the corresponding clothing are carried out in accordance with the production steps of the quality specimen.

[0026] As a further improvement of the present invention, real-time supervision is performed based on the corresponding clothing production process and quality, specifically:

[0027] Image supervision: Intelligent monitoring equipment is used to monitor the garment production process and quality in real time. Specifically, this includes real-time monitoring and transmission of garment production steps, as well as real-time monitoring and transmission of images of the color, pattern, structure, and size of the finished garments.

[0028] Specifically, the steps in the clothing production process are monitored by image, and the monitoring results are transmitted to the evaluation unit. At the same time, the style feature images of the completed clothing are captured, and the capture results are transmitted to the evaluation unit.

[0029] As a further improvement of the present invention, the received production process and quality data are matched with the reference standard, and a score is given accordingly, and whether the clothing quality meets the standard is determined based on the score result, specifically:

[0030] Perform image segmentation and refinement processing on the recording material of the production process of the quality specimen, obtain the reference standard of the production steps, and extract the production key points from the production steps as reference points. Compare the production key points existing in the production steps of the real-time monitoring and collection with the reference points, score the production process according to the comparison error rate, and determine whether the production steps meet the standards based on the scoring results;

[0031] Based on the finished garments, images of their style features are captured, and the quality key points of the style features are extracted from the images. At the same time, synchronized style feature images are captured for quality specimens, and the quality key points of the style features are extracted from the images as reference points. The quality key points of the finished garments collected through real-time monitoring are compared with the reference points, and the production quality of the finished garments is scored based on the comparison error rate. The scoring results are used to determine whether the production quality meets the standards.

[0032] Those that meet the quality standards will be further analyzed to determine whether there is room for improvement, including improving the production steps and low-scoring points in production quality, and making further improvements. Those that do not meet the quality standards will have their problems identified and improvements made.

[0033] As a further improvement of the present invention, statistics are taken based on the qualified points and unqualified points of the corresponding clothing production process and production quality. If the qualified rate of the same production point in the production process and production quality is high, then the production point here is judged to be in a mature production state. If the qualified rate of the same production point in the production process and production quality is low, then the production point here is judged to be in an immature state, and adjustments and improvements are required.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] The present invention sets the excellent finished products of clothing as the quality reference standard, and analyzes the corresponding production step process to set it as the production step reference standard. The production of clothing is controlled by the reference standard, which is conducive to ensuring that the production process meets the standard. When problems are found in the production process, they can be corrected and adjusted in time, and the production quality of each stage can be guaranteed, thereby improving the overall production quality level of clothing. At the same time, the qualified points and unqualified points in the clothing production process can be counted, and the clothing production process can be further adjusted and optimized based on the statistical results, which is conducive to ensuring the stable quality production of clothing.

[0036] The present invention can control the production steps and finished product quality of clothing, so as to make timely corrections to problems in the steps and quality problems, which is beneficial to reducing cost losses in the clothing production process and improving the production quality of clothing. At the same time, it avoids the problem of low quality management efficiency existing in traditional clothing random inspections, further improves the efficiency and comprehensiveness of clothing quality management, and ensures stable quality production of clothing. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0038] Figure 1 is a system block diagram of the present invention;

[0039] Figure 2 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0040] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0041] Example 1:

[0042] See also Figure 1 As shown, a clothing production management system includes a database, a data analysis and processing module, an early warning module, an order selection module, a quality standard setting module, a production standard setting module, a supervision module, an evaluation unit, and a statistical unit:

[0043] The database stores the set clothing styles including style features and style data, and also stores the set reference quality standards and reference production step standard data; specifically: the set style drawing data of the corresponding clothing style is stored in the database, and the style features and data of the clothing setting can be obtained by setting the style drawings. At the same time, the reference quality standards and reference production step standard data can be actually set according to the finished product status after the clothing is produced and stored in the database.

[0044] The data analysis and processing module is used to analyze and process data from the clothing production process; specifically, it analyzes and processes clothing production steps and production quality data, including the operational details corresponding to the production step data, such as fabric layout, cutting and sewing, and the finished product structure, size, color and pattern data corresponding to the production quality data.

[0045] The early warning module is used to provide timely early warning prompts when problems occur in production steps and production quality; specifically, it provides early warning prompts when the scores of production steps and production quality do not meet the standards, and makes timely corrections and adjustments based on the prompt results.

[0046] The order selection module is used to select orders in the clothing production process and produce clothing of corresponding styles according to the selected orders. Specifically, different styles of clothing have different style features. When the style order is selected for production, its style features will be displayed synchronously, its style data will be obtained, and clothing production will be carried out based on the style features.

[0047] Clothing production is carried out based on style features and acquired style data, specifically:

[0048] Obtain the corresponding clothing style through the selected production order, and obtain the corresponding style features based on the clothing style, including clothing color, pattern, structure and size;

[0049] At the same time, based on the clothing style, the style data of the clothing can be directly obtained, including structure and size, that is, the shape frame and size of the clothing, and the color and pattern parameters of the corresponding structure and size clothing can be obtained accordingly;

[0050] The above style features and data can all be obtained through the set order style drawings, so that the corresponding clothing styles can be obtained based on the order selection for clothing production.

[0051] The quality standard setting module is used to formulate the quality standards of the corresponding clothing during the production process. Specifically, an excellent finished product is selected from the finished products of the corresponding clothing as a quality specimen for subsequent reference testing of the quality of the finished products of the corresponding clothing, and the specimen is sent to the evaluation unit and the production standard formulation module.

[0052] It is formulated based on the quality standards of the corresponding clothing in the production process, specifically:

[0053] Select an excellent finished product from the finished products of the garments corresponding to the order as the quality sample. The specific selection criteria are: the structure and size of the garment produced must match the structure and size of the garment design drawing. The one with the highest similarity value is selected as the quality sample 1.

[0054] Based on the matching of the color and pattern of the clothing of quality sample 1 with the color and pattern of the clothing design drawing, the one with the higher similarity value is selected as quality sample 2;

[0055] When quality specimen 1 and quality specimen 2 are the same finished garment, the finished garment is set as the quality specimen and used for reference testing of the quality of the finished garments produced subsequently.

[0056] The production standard formulation module is used to formulate the production operation standards for the corresponding clothing in the production process. Specifically, the production process corresponding to the clothing quality specimen is selected as the production standard for production recording, and the recorded material is refined as a reference for the production standard steps for subsequent determination of the corresponding clothing production standards and sent to the evaluation unit;

[0057] It is formulated based on the production operation standards of the corresponding clothing during the production process, specifically:

[0058] The production process corresponding to the finished garment quality specimens is recorded using intelligent camera equipment, and the recorded material is subjected to image segmentation and refinement processing. Specifically, the production steps within each production image are analyzed and extracted, and used as a reference standard for subsequent corresponding garment production steps;

[0059] Specifically, the subsequent production steps of the corresponding clothing are carried out in accordance with the production steps of the quality specimen.

[0060] The supervision module is used to monitor the clothing production process and quality in real time, and transmit the supervision results to the evaluation unit in real time;

[0061] Real-time supervision is carried out based on the corresponding clothing production process and quality, specifically:

[0062] Image supervision: Intelligent monitoring equipment is used to monitor the garment production process and finished product quality in real time. Specifically, this includes real-time monitoring and transmission of garment production steps, as well as real-time monitoring and transmission of images of the color, pattern, structure, and size of finished garments.

[0063] Specifically, the steps in the clothing production process are monitored by image, and the monitoring results are transmitted to the evaluation unit. At the same time, the style feature images of the completed clothing are captured, and the capture results are transmitted to the evaluation unit.

[0064] The evaluation unit is used to match the received production process and quality data with the reference standards and score them accordingly. The scoring results are used to determine whether the garment quality meets the standards. At the same time, the scoring results are used to identify deficiencies in the production process and quality and make improvements.

[0065] The received production process and quality data are matched with the reference standards and scored accordingly. The scoring results are used to determine whether the garment quality meets the standards. Specifically:

[0066] Perform image segmentation and refinement processing on the recording material of the production process of the quality specimen, obtain the reference standard of the production steps, and extract the production key points from the production steps as reference points. Compare the production key points existing in the production steps of the real-time monitoring and collection with the reference points, score the production process according to the comparison error rate, and determine whether the production steps meet the standards based on the scoring results;

[0067] When the reference point is x and the key production point is y, if x>y, the production process score is below 90% and is judged to be substandard; if x≤y, the production process score is above 90% and is judged to be up to standard.

[0068] Based on the finished garments, images of their style features are captured, and the quality key points of the style features are extracted from the images. At the same time, synchronized style feature images are captured for quality specimens, and the quality key points of the style features are extracted from the images as reference points. The quality key points of the finished garments collected through real-time monitoring are compared with the reference points, and the production quality of the finished garments is scored based on the comparison error rate. The scoring results are used to determine whether the production quality meets the standards.

[0069] Capturing the key quality points of the style characteristics of finished garments and quality samples, including scanning and measuring their structure and dimensions, and reading their colors and pattern locations;

[0070] When the parameters of the quality key point structure, size, color and pattern of the style characteristics of the quality specimen are set to A, B, C, and D respectively, and the parameters of the quality key point structure, size, color and pattern of the style characteristics of the finished garment are set to A', B', C', and D' respectively, based on the comparison error rate of A' and A, B' and B, C' and C, and D' and D, the larger the comparison error, the lower the score, and it is judged as not meeting the standard. Conversely, the higher the score, and it is judged as meeting the standard.

[0071] Those that meet the quality standards will be further analyzed to determine whether there is room for improvement, including improving the production steps and low-scoring points in production quality, and making further improvements. Those that do not meet the quality standards will have their problems identified and improvements made.

[0072] The statistical unit is used to count the qualified and unqualified points of the corresponding clothing production process and quality, and optimize the corresponding production process and quality based on the qualified points, and adjust the corresponding production process and quality based on the unqualified points;

[0073] Statistics are taken based on the qualified and unqualified points of the corresponding clothing production process and production quality. If the qualified rate of the same production point in the production process and production quality is high, then this production point is judged to be in a mature production state. If the qualified rate of the same production point in the production process and production quality is low, then this production point is judged to be in an immature state and needs to be adjusted and improved. At the same time, corresponding adjustment and improvement instructions are generated and fed back to the intelligent terminal of the corresponding manager.

[0074] Example 2:

[0075] Based on Example 1, the statistical unit is further used to collect production information corresponding to the immature production points and perform analysis and management. The specific process is as follows:

[0076] Production information includes personnel data and production data at the production site; personnel data includes personnel number, working hours and age; production data includes the number of garments completed by the personnel, the corresponding completion time and the number of garments that do not meet the standards;

[0077] The number of unqualified garments is divided by the number of completed garments to obtain the unqualified rate. If the unqualified rate is greater than the preset unqualified threshold, the completion time corresponding to the unqualified garments is obtained, and all the completion times corresponding to the obtained unqualified garments are sorted in order of chronological order. The unqualified durations between two adjacent completion times are calculated, and the average value of all unqualified durations is calculated and extracted to obtain the unqualified average value; several duration ranges are set, and each duration range has a corresponding duration coefficient. All unqualified durations are matched with the set several duration ranges to obtain the corresponding duration coefficient. (The duration coefficient is a custom setting, and the duration coefficient is inversely proportional to the unqualified duration. The unqualified duration The larger the length, the smaller the corresponding duration coefficient), multiply all the values ​​of the non-reaching duration by the corresponding matched duration coefficient to obtain the non-reaching base value, and sum up all the non-reaching base values ​​to obtain the total non-reaching value; sort all the values ​​of the non-reaching duration in order, compare the values ​​of the two adjacent non-reaching durations, if the non-reaching duration in the first order is greater than the non-reaching duration in the second order, calculate the difference between the two to obtain the non-reaching reduction value, and sum up all the non-reaching reduction values ​​to obtain the total reach reduction value; normalize the non-reaching mean, the total non-reaching value, and the total reach reduction value and take the values ​​of the three, mark them as TF1, TF2, and TF3 respectively, and substitute them into the non-reaching index analysis model:

[0078] Output the underachievement index BD, where T1y and T2y are the preset thresholds corresponding to the underachievement mean and underachievement total values, respectively; λ1, λ2, λ3, and λ4 are all preset weight coefficients, and their sizes are user-defined; ζ is the personnel base value.

[0079] Set five instructions, namely instruction one, instruction two, instruction three, instruction four and instruction five, each instruction corresponds to a numerical range; match the unreachable index with the numerical range corresponding to the five instructions. If the unreachable index falls within the numerical range corresponding to instruction one, generate an early warning learning instruction and send it together with the unqualified point picture of the corresponding unqualified clothing to the smart terminal of the corresponding person; if the unreachable index falls within the numerical range corresponding to instruction two, generate a video learning instruction two and send it together with the teaching learning video of the unqualified point to the smart terminal of the corresponding person, and the corresponding person conducts learning and training based on the teaching learning video; if the unreachable index falls within the numerical range corresponding to instruction three, generate a tissue culture learning instruction three and send it It is sent to the smart terminal of the person in charge of the corresponding personnel. After the person in charge receives the tissue culture learning instruction three through the smart terminal, he / she will re-train the corresponding personnel; if the failure index falls within the numerical range corresponding to instruction four, a dismissal warning instruction four is generated and sent to the smart terminal of the person in charge of the corresponding personnel. After the person in charge receives the dismissal warning instruction four through the smart terminal, he / she will re-train and assess the personnel. If the assessment is unqualified, the dismissal instruction five is fed back. When the dismissal instruction five is received, the dismissal procedures are carried out for the personnel; if the failure index falls within the numerical range corresponding to instruction five, the dismissal instruction five is directly generated and sent to the smart terminal of the personnel, and the dismissal procedures are carried out for the personnel at the same time.

[0080] The specific process of obtaining the personnel base value is as follows:

[0081] Obtain the employee's working hours and age, as well as received instruction data, where the instruction data includes warning learning instruction 1, video learning instruction 2, tissue culture learning instruction 3, dismissal warning instruction 4, and dismissal instruction 5, as well as the corresponding number of times;

[0082] Set each instruction to correspond to an instruction severity value, and the instruction severity values ​​corresponding to the warning learning instruction 1, video learning instruction 2, tissue training learning instruction 3, dismissal warning instruction 4 and dismissal instruction 5 increase in sequence;

[0083] Multiply the number of times corresponding to each instruction by the corresponding instruction severity value and sum them up to get the total instruction severity value;

[0084] Normalize the working hours, age and total severity value and take the values ​​of the three to substitute into the personnel base value analysis model Output the personnel base value ζ, where ST1, NL2, and ZY3 are the values ​​corresponding to working hours, age, and total severity, respectively; κ1, κ2, and κ3 are the corresponding preset weight factors, and their sizes are custom settings.

[0085] By calculating the average, total, and total values ​​of substandard performance, the present invention can comprehensively assess substandard performance in garment production and promptly identify problems in the production process. By setting different instructions and corresponding numerical ranges, corresponding early warning and learning measures can be taken according to the degree of substandard performance, thus achieving refined management. Through substandard performance index analysis, problems with the work quality of personnel in the production process can be promptly identified, and corresponding measures can be taken to improve them, thereby stabilizing production quality.

[0086] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A clothing production management system, comprising a database, a data analysis and processing module and an early warning module, characterized in that: Also includes: The quality standard setting module is used to formulate the quality standards of the corresponding garments during the production process. Specifically, an excellent finished product is selected from the finished products of the corresponding garments as a quality specimen for subsequent reference testing of the quality of the finished products of the corresponding garments, and the sample is sent to the evaluation unit and the production standard formulation module; The production standard formulation module is used to formulate the production operation standards for the corresponding clothing during the production process. Specifically, the production process corresponding to the clothing quality specimen is selected as the production standard for production recording, and the recorded material is refined as a reference for the production standard steps for subsequent determination of the corresponding clothing production standards and sent to the evaluation unit; The supervision module is used to monitor the clothing production process and quality in real time and transmit the supervision results to the evaluation unit in real time; The evaluation unit is used to match the received production process and quality data with the reference standards and score them accordingly. The scoring results are used to determine whether the garment quality meets the standards. At the same time, the scoring results are used to identify deficiencies in the production process and quality and make improvements. The statistical unit is used to count the qualified points and unqualified points corresponding to the clothing production process and quality, and optimize the production process and quality according to the qualified points, and adjust the production process and quality according to the unqualified points.

2. A clothing production management system according to claim 1, characterized in that: Also includes: The order selection module is used to select orders in the clothing production process and produce clothing of corresponding styles according to the selected orders. Specifically, when a corresponding style order is selected for production, its style features will be displayed synchronously, its style data will be obtained, and clothing production will be carried out based on the style features; Clothing production is carried out based on style features and acquired style data, specifically: Obtain corresponding clothing styles through the selected production orders, and obtain corresponding style features based on the clothing styles, including clothing color, pattern, structure and size; At the same time, based on the clothing style, the style data of the clothing is directly obtained, including structure and size, that is, the shape framework and size of the clothing, and the color and pattern parameters of the corresponding structure and size clothing are obtained accordingly; Based on the order selection, the corresponding clothing styles are obtained for clothing production.

3. A clothing production management system according to claim 1, characterized in that: It is formulated based on the quality standards of the corresponding clothing in the production process, specifically: By selecting an excellent finished product from the finished products of the corresponding garments as a quality sample, the specific selection criteria are: the structure and size of the corresponding garment production match the structure and size of the garment setting, and the one with the higher similarity value is selected as the quality sample 1; Based on the matching of the color and pattern of the clothing of quality sample 1 with the color and pattern of the clothing setting, the one with the higher similarity value is selected as quality sample 2; When quality specimen 1 and quality specimen 2 are the same finished garment, the garment becomes the quality specimen and is used as a reference for subsequent quality testing of the corresponding garment.

4. A clothing production management system according to claim 1, characterized in that: It is formulated based on the production operation standards of the corresponding clothing during the production process, specifically: The production process corresponding to the clothing quality specimens is recorded by intelligent camera equipment, and the recorded materials are subjected to image splitting and refinement processing. Specifically, the production steps within each production image are analyzed and extracted, and used as a reference standard for subsequent corresponding clothing production steps.

5. A clothing production management system according to claim 1, characterized in that: Real-time supervision is carried out based on the corresponding clothing production process and quality, specifically: Image supervision: Intelligent monitoring equipment is used to monitor the clothing production process and quality in real time. Specifically, it monitors and transmits the production steps of clothing in real time, and monitors and transmits images of the color, pattern, structure and size of the finished clothing in real time.

6. A clothing production management system according to claim 1, characterized in that: The received production process and quality data are matched with the reference standards and scored accordingly. The scoring results are used to determine whether the garment quality meets the standards. Specifically: Perform image segmentation and refinement based on recorded materials of the production process to obtain reference standards for the production steps, and extract key production points from the production steps as reference points. Compare the key production points in the production steps collected during real-time monitoring with the reference points, score the production process based on the comparison error rate, and determine whether the production steps meet the standards based on the scoring results; Based on the finished garments, images of their style features are captured, and the quality key points of the style features are extracted from the images. At the same time, synchronized style feature images are captured for quality specimens, and the quality key points of the style features are extracted from the images as reference points. The quality key points of the finished garments collected through real-time monitoring are compared with the reference points, and the production quality of the finished garments is scored based on the comparison error rate. The scoring results are used to determine whether the production quality meets the standards. Those that meet the quality standards will be further analyzed to determine whether there is room for improvement, including improving the production steps and low-scoring points in production quality, and making further improvements. Those that do not meet the quality standards will have their problems identified and improvements made.

7. A clothing production management system according to claim 1, characterized in that: Based on the statistics of qualified points and unqualified points in the corresponding clothing production process and production quality, if the qualified rate of the same production point in the production process and production quality is high, then the production point is judged to be in a mature production state. If the qualified rate of the same production point in the production process and production quality is low, then the production point is judged to be in an immature state and needs to be adjusted and improved.

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