Garment template model capable of automatically rotating and segmenting and digital architecture method

Abstract

The invention relates to the technical field of costume design, in particular to an automatic rotary segmentation costume template model and a digital architecture method, which reduce manual modeling and improve modeling efficiency. The method comprises the steps of determining a to-be-modeled garment style, and performing vector drawing on the to-be-modeled garment style to obtain a garment style plane structure chart; performing structure segmentation on the garment style plane structure chart to obtain a garment style substructure set; the clothing style substructure set comprises a plurality of plane substructures forming a clothing style plane structure chart; collecting a historical garment template of the to-be-modeled garment style; aiming at each plane substructure, calculating a structure change rate of the plane substructure in the historical clothing template, and marking the structure change rate into a clothing style substructure set; and screening the clothing style substructure set by utilizing a preset structure change threshold, and marking the plane substructures with the structure change rates exceeding the preset structure change threshold as variable plane substructures.

Description

Technical Field

[0001] The invention relates to the technical field of clothing design, and in particular to an automatically rotated and segmented clothing pattern model and a digital construction method. Background Art

[0002] With the improvement of living standards, consumers' demand for personalized clothing products continues to increase. Many clothing companies have begun to turn to large-scale personalized customization. Building a relatively stable clothing sample component module library through computer software and conducting digital modeling of clothing samples have become the necessary technical means for current clothing companies to transform into personalized customization.

[0003] The existing clothing pattern modeling technology cannot make patterns quickly. Every time a new style is added, the component module must be rebuilt, and the component library needs to be filled continuously for a long time, resulting in high labor costs, low efficiency, and long cycles, which affects the transformation and upgrading of intelligent manufacturing of clothing companies. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an automatically rotated and segmented clothing pattern model and a digital architecture method that reduces manual modeling and improves modeling efficiency.

[0005] In a first aspect, the present invention provides a clothing pattern model and a digital architecture method for automatic rotation segmentation, the method comprising:

[0006] Determine the clothing style to be modeled, and perform vector drawing on the clothing style to be modeled to obtain a plane structure diagram of the clothing style;

[0007] Structural segmentation is performed on the clothing style plane structure diagram to obtain a clothing style substructure set; the clothing style substructure set includes a plurality of plane substructures constituting the clothing style plane structure diagram;

[0008] Collect historical clothing samples of the clothing styles to be modeled;

[0009] For each plane substructure, calculating the structural change rate of the plane substructure in the historical clothing samples, and marking the structural change rate into the clothing style substructure set;

[0010] Using the preset structural change threshold, the clothing style substructure set is screened, and the plane substructure whose structural change rate exceeds the preset structural change threshold is marked as a changeable plane substructure; the plane substructure whose structural change rate does not exceed the preset structural change threshold is marked as a general plane substructure;

[0011] Quantitatively marking the variable plane substructure and the universal plane substructure, and summarizing the data to obtain a plane structure variable table of the clothing style to be modeled;

[0012] According to the plane structure variable table, the variable plane substructure and the general plane substructure that constitute the style structure are constructed, and the segmentation structure lines constructed by the clothing style are arranged horizontally and vertically by drawing;

[0013] Set the execution data of the driving split structure line and associate it with the plane structure variable table. By adjusting the execution data of the split structure line in the plane structure variable table, the split structure line of the clothing pattern is driven to deform, rotate and move, thereby realizing automatic splitting.

[0014] Furthermore, historical clothing samples of the clothing styles to be modeled are collected, including:

[0015] Identify the style types of historical samples that need to be collected;

[0016] Determine the time range of historical samples to be collected to ensure the timeliness and representativeness of the data;

[0017] According to the style of the clothing to be modeled, select the historical sample of the corresponding style.

[0018] Further, for each plane substructure, the structural change rate of the plane substructure in the historical clothing sample is calculated, including:

[0019] Select a benchmark sample from the historical samples as a standard for comparison;

[0020] For each plane substructure, its performance in the historical sample is compared with the benchmark sample one by one;

[0021] According to the comparison results, the structural change rate of each substructure is calculated;

[0022] The calculated structural change rate is recorded in the information of each substructure and marked into the clothing style substructure set.

[0023] Furthermore, the structural change rate is expressed as the ratio of the number of times the substructure changes in the historical template to the total number of templates, and the calculation formula is as follows:

[0024]

[0025] Among them, CR i represents the structural change rate of the i-th plane substructure; N change,i The number of times the i-th plane substructure has changed in the historical template; N total Indicates the total number of historical samples.

[0026] Furthermore, the structural change rate is expressed as the degree of change of the substructure in different samples, and the calculation formula is as follows:

[0027]

[0028] Among them, CR i It is expressed as the structural change rate of the i-th plane substructure; D i,j It is expressed as the degree of change of the i-th plane substructure in the j-th historical template; N total Expressed as the total number of historical samples.

[0029] Furthermore, the variable plane substructure and the universal plane substructure are quantitatively marked, and data are summarized to obtain a plane structure variable table of the clothing style to be modeled, including:

[0030] Each variable planar substructure is quantitatively labeled in detail, including size, shape, position, and rotation angle;

[0031] Assign a unique variable name to each quantitatively labeled parameter for reference and adjustment in the subsequent modeling process;

[0032] The quantitative labels of each substructure are recorded in a table to form a flat structural variable table.

[0033] Furthermore, according to the plane structure variable table, the variable plane substructure and the general plane substructure constituting the style structure are constructed, and the segmentation structure lines constructed by the clothing style are arranged horizontally and vertically by drawing, including:

[0034] According to the initial value and variation range in the step plane structure variable table, adjust the parameters of the variable plane substructure, generate a specific geometric shape, and place it at the set position;

[0035] According to the initial values ​​in the variable table, the parameters of the general planar substructure are fixed, the specific geometric shape is generated, and it is placed at the set position;

[0036] According to the parameters in the plane structure variable table, the dividing structure lines of the clothing styles are arranged horizontally to ensure that the horizontal position and spacing of each dividing line meet the design requirements;

[0037] According to the parameters in the plane structure variable table, the dividing structure lines of the clothing styles are arranged vertically to ensure that the vertical position and spacing of each dividing line meet the design requirements;

[0038] Check the constructed clothing styles to ensure that the geometry, position layout and arrangement of segmentation structure lines of all substructures meet the design requirements.

[0039] On the other hand, the present application also provides a clothing pattern model and digital architecture method system for automatic rotation segmentation, the system comprising:

[0040] A vector drawing module is used to determine the clothing style to be modeled, and to perform vector drawing on the clothing style to be modeled to obtain a plane structure diagram of the clothing style;

[0041] A structure segmentation module is used to perform structure segmentation on the clothing style plane structure diagram to obtain a clothing style substructure set; the clothing style substructure set includes a plurality of plane substructures constituting the clothing style plane structure diagram;

[0042] A historical pattern collection module is used to collect historical clothing patterns of clothing styles to be modeled;

[0043] A structural change rate calculation module, for calculating the structural change rate of each plane substructure in the historical clothing sample, and marking the structural change rate in the clothing style substructure set;

[0044] The substructure screening module uses a preset structure change threshold to screen the clothing style substructure set; marks the plane substructure whose structure change rate exceeds the preset structure change threshold as a changeable plane substructure; marks the plane substructure whose structure change rate does not exceed the preset structure change threshold as a general plane substructure;

[0045] A quantification module is used to quantify and mark the variable plane substructures and the general plane substructures, and summarize the data to obtain a plane structure variable table of the clothing style to be modeled;

[0046] A building module is used to build the variable plane substructure and the general plane substructure that constitute the style structure according to the plane structure variable table; and to arrange the segmentation structure lines of the clothing style construction horizontally and vertically by drawing;

[0047] The driving and execution module is used to set the execution data of the driving segmentation structure line and associate it with the plane structure variable table; by adjusting the execution data of the segmentation structure line in the plane structure variable table, the segmentation structure line of the clothing pattern is driven to deform, rotate and move, thereby realizing automatic segmentation.

[0048] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any one of the above methods.

[0049] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps in any one of the above-mentioned methods when executed by a processor.

[0050] Compared with the prior art, the invention has the following beneficial effects: by using a preset plane structure variable table and an automated modeling process, the modeling process is made more standardized, human errors are reduced, and training and management costs are further reduced; by calculating and marking the structural change rate of historical clothing patterns, the plane substructure is divided into a variable plane substructure and a universal plane substructure, making the design process more flexible; the variable plane substructure can be adjusted according to specific needs, while the universal plane substructure remains stable, thereby improving the flexibility of the design; by quantitatively marking the variable plane substructure and the universal plane substructure, a detailed plane structure variable table is formed, making the design process more intuitive and controllable, and facilitating the designer to carry out Adjustment and optimization; by adjusting the variable values ​​in the plane structure variable table, new clothing style samples can be quickly generated, significantly shortening the design cycle; through data aggregation and variable table management, data management in the design process is made more efficient, reducing duplication of work and further shortening the design cycle; through the method of automatic rotation segmentation, the steps of manual modeling are reduced and the modeling efficiency is improved; in the traditional method, each additional style requires the reconstruction of the component module, while this method can complete the automatic segmentation design of the new style sample in a few seconds by adjusting the variable values ​​in the variable table. Since the modeling process is highly automated, companies can respond quickly to market changes, launch new styles in a timely manner, and shorten product time to market. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a clothing pattern model image that is automatically rotated and segmented;

[0052] Figure 2 It is the interactive matching diagram of the front and back piece component modules of the clothing pattern;

[0053] Figure 3 This is an example diagram of the classification of sample style structure drawing;

[0054] Figure 4 This is a reference arrangement diagram for individual styles;

[0055] Figure 5 It is a variable naming layout diagram;

[0056] Figure 6 It is the variable table layout diagram;

[0057] Figure 7 It is a universal clothing pattern structure;

[0058] Figure 8 It is a clothing pattern model with automatic rotation and segmentation of front and back pieces;

[0059] Fig. 9 It is a new style pattern of the front and back pieces of clothing that is automatically segmented after the variable values ​​are adjusted in the variable table;

[0060] Fig.10It is a flow chart of the present invention. DETAILED DESCRIPTION

[0061] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, an apparatus, an electronic device, and a computer-readable storage medium. Therefore, the present application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), a combination of hardware and software. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable storage media, and the computer-readable storage medium contains computer program code.

[0062] The above-mentioned computer-readable storage medium may adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or devices, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, computer-readable storage media can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0063] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws.

[0064] The present application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.

[0065] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.

[0066] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.

[0067] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0068] The present application is described below in conjunction with the drawings in the present application.

[0069] Embodiment 1: Fig.10 As shown, an automatic rotation segmentation clothing pattern model and digital architecture method of the present invention specifically includes the following steps:

[0070] Step S1, determining the clothing style to be modeled, and performing vector drawing on the clothing style to be modeled to obtain a clothing style plane structure diagram; the specific implementation is as follows:

[0071] Step S11, clarify the specific requirements and design intentions of the clothing styles to be modeled, including understanding the style type (such as tops, pants, skirts, etc.), style (such as casual, formal, sports, etc.), size range, and any specific design elements or functional requirements; based on the results of the demand analysis, select specific clothing styles as modeling objects, involving communication with designers or marketing teams to ensure that the selected styles meet market demand and corporate strategy;

[0072] Step S12, use professional computer-aided design (CAD) software or vector graphics editing tools (such as Adobe Illustrator) for subsequent drawing work; the above tools can provide precise control and high-resolution output; draw the basic outline of the clothing according to the design drawings or physical samples of the clothing style; this includes the outlines of the main parts such as the front piece, the back piece, and the sleeves; on the basis of the basic outline, add the details of the clothing, such as the neckline, cuffs, pockets, decorative parts, etc.; each step of drawing needs to ensure accuracy and completeness of details; in the drawing process, mark out key structural lines, such as seams, symmetry axes, folding lines, etc.; these lines will be used for subsequent structural segmentation and analysis;

[0073] Step S13: After completing the vector drawing, the graphics are exported to a file format suitable for subsequent processing, such as DWG, DXF or SVG. The above formats can retain the high-precision characteristics of vector graphics, which is convenient for subsequent digital modeling and analysis. During the export process, necessary quality checks are performed to ensure seamless conversion of graphic files and data integrity.

[0074] In this step, by clarifying the design intent and requirements, unnecessary rework and adjustments can be reduced, and the efficiency of modeling can be improved; professional CAD software and vector graphics editing tools can be used to provide precise control and high-resolution output, speeding up drawing and modeling; reducing dependence on professional draftsmen and reducing labor costs; through automation and high-precision tools, the time and errors of manual operations can be reduced, further reducing costs; by exporting to a high-precision vector format, the integrity and accuracy of the data can be ensured, problems caused by format incompatibility or data loss can be avoided, and the reliability and stability of the entire modeling process can be improved.

[0075] Step S2, performing structural segmentation on the clothing style plane structure diagram to obtain a clothing style substructure set; the clothing style substructure set includes a plurality of plane substructures constituting the clothing style plane structure diagram;

[0076] The main purpose of step S2 is to decompose the clothing style plane structure diagram obtained by vector drawing into multiple smaller and more specific plane substructures to form a clothing style substructure set. The plane substructure is the basic unit that constitutes the entire clothing style. The specific implementation is as follows:

[0077] Step S21, based on the clothing style plane structure diagram, identifying the main structural areas of the clothing, such as the front piece, back piece, sleeves, collar, pockets, etc.; the above areas usually correspond to different parts of the clothing and are the basis for structural segmentation;

[0078] Step S22: In order to ensure the effectiveness and rationality of the segmentation, a set of clear segmentation principles needs to be defined, including but not limited to:

[0079] Functional segmentation: segmentation according to the functional requirements of clothing, such as separation of active areas and fixed areas;

[0080] Technological segmentation: Consider the requirements of garment manufacturing technology, such as the position of sewing lines, material splicing points, etc.

[0081] Aesthetic segmentation: segmentation based on the aesthetic requirements of the design, such as decorative lines, pattern layout, etc.

[0082] Step S23, using professional CAD software or vector graphics editing tools, according to the segmentation principle defined above, the clothing style plane structure diagram is finely cut; this step requires precise cutting along the predetermined segmentation line to ensure that the boundary of each substructure is clear and accurate;

[0083] Step S24: After the segmentation is completed, each substructure is labeled in detail, including but not limited to the name, size, material requirements and other information of the substructure; at the same time, the substructures are preliminarily classified to prepare for the subsequent calculation of the structural change rate;

[0084] Step S25: verify the segmented substructure set to ensure that each substructure can exist independently and meet the design requirements, and also involve matching checks between substructures to ensure that all substructures can be combined to restore the original clothing style plane structure diagram.

[0085] Through the implementation of step S2, a set of multiple planar substructures can be obtained, each substructure is a component of the original clothing style; the planar substructure not only contains shape information, but also contains relevant annotation and classification information, which provides basic data support for subsequent structural change rate calculation, distinction between variable and general substructures, and automatic segmentation; the implementation of step S2 makes the modeling of clothing patterns more flexible and efficient; through reasonable structural segmentation of clothing styles, it is easier to identify which parts are frequently changing (variable planar substructures) and which parts are relatively fixed (general planar substructures), which helps to reduce repetitive work and improve modeling efficiency, and also lays the foundation for realizing automatic segmentation and rapid plate making of clothing patterns.

[0086] Step S3, collecting historical clothing samples of clothing styles to be modeled;

[0087] The main purpose of step S3 is to collect historical clothing samples related to the clothing style to be modeled; historical samples provide rich data support, which is helpful for the subsequent calculation of structural change rate and classification of substructures, thereby improving the accuracy and efficiency of modeling; the specific implementation is as follows:

[0088] Step S31, clarify the style type of the historical samples to be collected, such as tops, pants, skirts, etc.; determine the time range of the historical samples to be collected, which can be samples within the past few years, to ensure the timeliness and representativeness of the data; according to the style of the clothing style to be modeled (such as casual, formal, sports, etc.), select the historical samples of the corresponding style;

[0089] Step S32: Search and collect historical samples from the internal design archives of the enterprise. These samples are usually the existing design results of the enterprise. Through market research, collect relevant samples of competitors or other brands to obtain more reference data. Collect favorite styles and samples mentioned in customer feedback to understand market demand and preferences. Extract samples that have been produced from historical orders. These samples have been verified by actual production and have high reference value.

[0090] Step S33, classify and organize the collected historical samples according to style type, design style, time range, etc. to ensure the systematicness and orderliness of the data; convert paper samples or physical samples into electronic files, and use a scanner or camera to convert the samples into high-resolution image files; use professional CAD software or vector graphics editing tools to convert image files into editable vector graphics;

[0091] Step S34: Perform a quality check on the collected historical samples to ensure the integrity and accuracy of the samples; the check includes whether the size of the samples is accurate, whether the lines are clear, whether the markings are complete, etc.; invalid or duplicate historical samples are removed to ensure that the data is clean and accurate;

[0092] Step S35: Store the sorted historical sample data in the company's internal database to ensure data security and accessibility; annotate each sample with detailed information in the database, including style type, design style, production date, size specifications, material information, etc., to facilitate subsequent query and analysis;

[0093] Through the implementation of step S3, a database containing a large number of historical clothing samples can be obtained, which not only covers different models and styles, but also includes detailed information such as size and material, providing rich data support for subsequent structural change rate calculation and substructure classification; the collected historical samples provide a large amount of reference data for the subsequent structural change rate calculation, which helps to more accurately evaluate the change frequency of each substructure; by comparing historical samples, it is possible to more accurately identify which substructures are variable and which are universal, so as to optimize them in a targeted manner during the modeling process; using the data in historical samples, it is possible to avoid repeated design of the same or similar substructures, improve modeling efficiency, and reduce labor costs; historical samples reflect market needs and trends. By analyzing these samples, it is possible to better understand and meet the personalized needs of consumers and improve the market competitiveness of products.

[0094] Step S4: for each plane substructure, calculating the structural change rate of the plane substructure in the historical clothing template, and marking the structural change rate into the clothing style substructure set;

[0095] The purpose of step S4 is to analyze the changes of each plane substructure in the historical clothing samples, calculate the structural change rate of each substructure, and mark the structural change rate to the clothing style substructure set, which is helpful for subsequent substructure screening and classification, thereby improving the efficiency and accuracy of modeling; the specific implementation is as follows:

[0096] Step S41, selecting one or more reference samples from the historical samples as the comparison standard; the reference samples should be representative and reflect the common design of the style; determining the comparison method, which can be visual comparison, size comparison, shape comparison, etc., and the specific method should be selected according to the characteristics of the substructure and the design requirements;

[0097] Step S42: for each plane substructure, compare its performance in the historical template with the benchmark template one by one; calculate the structural change rate of each substructure based on the comparison result; the structural change rate can be expressed as the ratio of the number of times the substructure changes in the historical template to the total number of templates, and the calculation formula is as follows:

[0098]

[0099] Among them, CR i represents the structural change rate of the i-th plane substructure; N change,i The number of times the i-th plane substructure has changed in the historical template; N total Represents the total number of historical samples; the above formula calculates the ratio of the number of times the i-th plane substructure changes in all historical samples to the total number of samples; the higher the ratio, the higher the frequency of change of the substructure;

[0100] At the same time, the structural change rate can also be expressed as the degree of change in the size, shape, position and other attributes of the substructure in different templates. The calculation formula is as follows:

[0101]

[0102] Among them, CR i It is expressed as the structural change rate of the i-th plane substructure; D i,j It is expressed as the degree of change of the i-th plane substructure in the j-th historical template; N total It is expressed as the total number of historical samples. This formula calculates the average degree of change of the i-th plane substructure in all historical samples. The degree of change can be the amount of change in attributes such as size, shape, and position. The higher the average degree of change, the greater the change of the substructure.

[0103] Step S43, recording the calculated structural change rate in the information of each substructure, and marking it in the clothing style substructure set; using a chart or color coding method to intuitively display the structural change rate of each substructure, so as to facilitate subsequent analysis and screening;

[0104] Step S44: Check the accuracy of the calculation results to ensure that the structural change rate of each substructure is calculated correctly; further verify and process the abnormal values ​​in the calculation results to ensure the reliability of the data.

[0105] By implementing step S4, the structural change rate of each plane substructure in the historical clothing samples can be obtained, and these change rates can be marked in the clothing style substructure set; the result of this step provides important data support for subsequent substructure screening and classification; by calculating the structural change rate, it is possible to more accurately identify which substructures are frequently changing (variable plane substructures) and which are relatively fixed (general plane substructures), so as to optimize them in a targeted manner during the modeling process; for general plane substructures with low change rates, existing designs can be directly reused to reduce the workload of repeated design and improve modeling efficiency; for variable plane substructures with high change rates, new designs can be quickly generated by adjusting the parameters in the variable table, thereby improving the flexibility of the design and meeting personalized needs; by calculating and marking the structural change rate, the modeling process is made more data-driven, the uncertainty of subjective judgment is reduced, and the scientificity and rationality of decision-making are improved.

[0106] Step S5, using a preset structural change threshold, screening the clothing style substructure set, marking the plane substructure whose structural change rate exceeds the preset structural change threshold as a changeable plane substructure; marking the plane substructure whose structural change rate does not exceed the preset structural change threshold as a general plane substructure;

[0107] Step S5 is to screen the clothing style substructure set by a preset structural change threshold, mark the substructure with a higher structural change rate as a mutable plane substructure, and mark the substructure with a lower structural change rate as a general plane substructure, which is helpful for targeted optimization in the subsequent modeling process and improves the efficiency and accuracy of modeling; the specific implementation is as follows:

[0108] Step S51: according to historical data and experience, a reasonable structural change threshold is set; this threshold is used to distinguish between variable plane substructures and general plane substructures; the structural change threshold adopts a percentage value, such as 10%, 20%, etc.; the specific value should be determined according to actual conditions and needs;

[0109] Step S52, reading the structural change rate of each plane substructure from the structural change rate data calculated in step S4; comparing the structural change rate of each plane substructure with a preset structural change threshold; if the structural change rate of a certain plane substructure exceeds the preset structural change threshold, marking it as a changeable plane substructure; if the structural change rate of a certain plane substructure does not exceed the preset structural change threshold, marking it as a common plane substructure;

[0110] Step S53, updating the marking result to the clothing style substructure set, ensuring that each substructure has a clear mark (volatile or universal); storing the updated substructure set in the database for use in subsequent steps.

[0111] By implementing step S5, a substructure set marked with variable plane substructures and universal plane substructures can be obtained, which provides clear guidance for the subsequent modeling process and helps to improve the efficiency and accuracy of modeling; for the plane substructures marked as variable, they can be optimized and adjusted in the subsequent modeling process to ensure the flexibility and diversity of the design; for the plane substructures marked as universal, the existing designs can be reused directly to reduce the workload of repeated design and improve modeling efficiency; the marking of variable plane substructures allows these parts to be adjusted more flexibly during the design process to meet the personalized needs of consumers; the marking of universal plane substructures allows these parts to be handled more standardized during the design process to improve the consistency and quality of the design.

[0112] Step S6, quantitatively marking the variable plane substructure and the general plane substructure, and summarizing the data to obtain a plane structure variable table of the clothing style to be modeled;

[0113] Step S6 is to quantitatively mark the variable plane substructures and general plane substructures screened in step S5, and summarize these marks and related data to generate a plane structure variable table of the clothing style to be modeled, which provides detailed parameter support for subsequent modeling and automatic segmentation, ensuring the efficiency and accuracy of the modeling process; the specific implementation is as follows:

[0114] Step S61: Perform detailed quantitative marking on each variable plane substructure, including but not limited to parameters such as size, shape, position, rotation angle, etc.; these parameters will be used as adjustable variables in the subsequent modeling process; perform simplified quantitative marking on each universal plane substructure, mainly to ensure its basic consistency and stability in different styles; these parameters are relatively fixed in the modeling process, but can also be fine-tuned when necessary;

[0115] Step S62: assign a unique variable name to each quantitatively marked parameter to ensure that it can be easily referenced and adjusted in the subsequent modeling process; record the quantitative mark and related parameters of each substructure in a table to form a plane structure variable table; the table should contain the following information:

[0116] Substructure name: unique identifier of each substructure;

[0117] Substructure type: marked as "volatile" or "generic";

[0118] Variable Name: A unique variable name for each parameter;

[0119] Initial value: the initial value of each parameter;

[0120] Variation range: the variation range of each parameter, such as minimum and maximum values;

[0121] Unit: The unit of each parameter, such as centimeters, degrees, etc.;

[0122] Step S63: Generate a variable table in Excel, CSV or other formats to ensure data readability and editability; perform data verification on the generated variable table to ensure rationality and accuracy of all parameters; check the uniqueness of variable names, rationality of initial values, feasibility of variation ranges, etc.; back up the generated variable table to ensure data security and recoverability;

[0123] Step S64: The quantitative mark and related parameters of each substructure can be intuitively displayed using charts or color coding to facilitate subsequent analysis and viewing; a detailed report is generated, listing the quantitative marks and related parameters of all substructures, including the name, type, variable name, initial value, variation range and unit of each substructure.

[0124] Through the implementation of step S6, a detailed plane structure variable table can be obtained, which contains the quantitative marks and related parameters of each variable plane substructure and universal plane substructure; through the detailed quantitative marks, the parameters of the variable substructure can be flexibly adjusted in the subsequent modeling process to meet the needs of different styles; through the simplified quantitative marks, the universal substructure can be quickly reused in the subsequent modeling process, reducing the workload of repeated design and improving modeling efficiency; through the parameter adjustment in the variable table, a variety of different designs can be quickly generated to meet the personalized needs of consumers; through the detailed quantitative marks, fine adjustments and optimizations can be made during the design process to improve the quality and aesthetics of the design; through the generation of quantitative marks and variable tables, the modeling process is made more data-driven, the uncertainty of subjective judgment is reduced, and the scientificity and rationality of decision-making are improved; the variable table provides clear parameter guidance for the design team, which helps to optimize the design process and improve the quality and efficiency of the design.

[0125] Step S7, constructing the variable plane substructure and the general plane substructure constituting the style structure according to the plane structure variable table, and arranging the segmentation structure lines constructed by the clothing style horizontally and vertically by drawing;

[0126] Step S7 is to build the variable plane substructure and the general plane substructure according to the plane structure variable table generated in step S6, and arrange the segmentation structure lines built by the clothing styles horizontally and vertically by drawing, so as to provide a specific geometric structure and layout for the subsequent automatic segmentation, and ensure the efficiency and accuracy of the modeling process; the specific implementation is as follows:

[0127] Step S71, according to the initial value and variation range in the plane structure variable table generated in step S6, adjust the parameters of the variable plane substructure to generate a specific geometric shape; use professional CAD software or vector graphics editing tools to construct the geometric shape of the variable plane substructure according to the adjusted parameters; place the constructed variable plane substructure in a suitable position to ensure its coordination with other substructures and the rationality of the overall layout;

[0128] Step S72: according to the initial values ​​in the variable table, fix the parameters of the general plane substructure to generate a specific geometric shape; use professional CAD software or vector graphics editing tools to construct the geometric shape of the general plane substructure according to the fixed parameters; place the constructed general plane substructure in a suitable position to ensure its coordination with other substructures and the rationality of the overall layout;

[0129] Step S73, according to the parameters in the plane structure variable table, the segmentation structure lines constructed by the clothing style are arranged horizontally to ensure that the position and spacing of each segmentation line in the horizontal direction meet the design requirements; according to the parameters in the plane structure variable table, the segmentation structure lines constructed by the clothing style are arranged vertically to ensure that the position and spacing of each segmentation line in the vertical direction meet the design requirements; ensure that the segmentation structure lines meet the design requirements in terms of alignment and symmetry, and improve the aesthetics and rationality of the overall layout;

[0130] Step S74: perform an overall inspection on the constructed clothing style to ensure that the geometric shapes, position layouts and arrangement of segmentation structure lines of all substructures meet the design requirements; based on the inspection results, fine-tune and optimize the geometric shapes, position layouts and arrangement of segmentation structure lines of the substructures to ensure that the final clothing style construction result achieves the best effect.

[0131] Through the implementation of step S7, a complete clothing style building result can be obtained, which includes the specific geometric shapes and position layouts of the variable plane substructure and the general plane substructure, as well as the horizontal and vertical arrangements of the segmentation structure lines, so as to provide specific geometric structures and layouts for the subsequent automatic segmentation, and ensure the efficiency and accuracy of the modeling process; through detailed parameter adjustment and geometric construction, the variable substructure can be flexibly adjusted in the subsequent modeling process to meet the needs of different styles; through fixed parameters and geometric construction, the general substructure can be quickly reused in the subsequent modeling process, reducing the workload of repeated design and improving the modeling efficiency; through parameter adjustment in the variable table, a variety of different designs can be quickly generated to meet the personalized needs of consumers; through detailed geometric construction and position layout, refined adjustment and optimization can be made in the design process to improve the quality and aesthetics of the design; through the parameters and geometric construction in the variable table, the modeling process is made more data-driven, the uncertainty of subjective judgment is reduced, and the scientificity and rationality of decision-making are improved; the variable table and geometric construction provide the design team with clear parameter and geometric guidance, which helps to optimize the design process and improve the quality and efficiency of the design.

[0132] Step S8, setting the execution data of the driving segmentation structure line, and associating it with the plane structure variable table, by adjusting the execution data of the segmentation structure line in the plane structure variable table, driving the segmentation structure line of the garment pattern to deform, rotate and move, so as to realize automatic segmentation;

[0133] Step S8 is to set the execution data of the driving segmentation structure line and associate it with the plane structure variable table to realize the automatic adjustment and optimization of the segmentation structure line of the clothing pattern; make the pattern making process of the clothing pattern more intelligent and efficient, reduce manual intervention, and improve the accuracy and flexibility of modeling; the specific implementation is as follows:

[0134] Step S81, reading the quantitative mark and related parameters of each substructure from the plane structure variable table generated in step S6; parsing each parameter in the variable table to ensure the accuracy and completeness of all data;

[0135] Step S82: according to the parameters in the plane structure variable table, define the driving parameters of each segmentation structure line, including but not limited to length, angle, position, etc.; set an initial value for each driving parameter and define its variation range to ensure the rationality and feasibility of the driving data;

[0136] Step S83, mapping each driving parameter with the corresponding variable in the plane structure variable table, ensuring that the adjustment of the driving data can directly affect the geometric shape and position of the segmentation structure line; realizing the dynamic association between the driving data and the variable table through programming or scripting language, ensuring that the driving data can be updated in real time each time the parameters in the variable table are adjusted;

[0137] Step S84, by adjusting the driving parameters, the segmentation structure line is driven to deform, and its length, curvature and other geometric features are changed; by adjusting the driving parameters, the segmentation structure line is driven to rotate, and its angle and direction are changed; by adjusting the driving parameters, the segmentation structure line is driven to move, and its position in the plane structure diagram is changed;

[0138] Step S85: through dynamic association, ensure that each time the parameters in the variable table are adjusted, the deformation, rotation and position movement of the segmentation structure line can be updated in real time to achieve automatic segmentation; verify the adjusted segmentation structure line to ensure that it meets the design requirements; according to the verification results, make necessary optimization adjustments to ensure that the final segmentation result achieves the best effect.

[0139] By setting driving data and dynamic association, automatic adjustment of segmentation structure lines is realized, which reduces manual intervention and improves modeling efficiency. Each time the parameters in the variable table are adjusted, the deformation, rotation and position movement of the segmentation structure lines can be updated in real time, realizing rapid iteration and optimization. By adjusting the driving data, the geometric shape and position of the segmentation structure lines can be flexibly changed to meet the needs of different styles. Through dynamic association and real-time update, fine adjustment and optimization can be made during the design process to improve the quality and aesthetics of the design. Through the dynamic association of driving data and variable tables, the modeling process is made more data-driven, which reduces the uncertainty of subjective judgment and improves the scientificity and rationality of decision-making. Driving data and variable tables provide the design team with clear parameter and geometric guidance, which helps to optimize the design process and improve the quality and efficiency of the design. Through dynamic association and real-time update, manual intervention and labor costs are reduced. Through verification and optimization, the final segmentation result is ensured to achieve the best effect, reducing rework and waste caused by unreasonable design.

[0140] The following are some examples:

[0141] For example, if you need to construct a model of the front and back pieces of women's clothing that can be automatically rotated and divided, you can first use computer software to draw and organize the existing styles involved in the use range, such as Figure 4 As shown in the figure, based on the style diagram drawn and sorted, the possible evolution of the style structure diagram is inferred, such as Figure 3 As shown, the style structure diagram is planned and combined to complete an automatically rotated and segmented clothing pattern model diagram of the present invention, such as Figure 1 shown.

[0142] According to the above-planned automatic rotation segmentation clothing pattern model diagram, each possible change position and deformation node is named, arranged and laid out as a variable, such as Figure 5 As shown, and according to the usage, a variable table is made using computer software, such as Figure 6 The name of the total variable group is named "Division Style FW / BW": The sub-variable groups are arranged horizontally below the total variable group, and are named "Front Dividing Line FW" and "Back Dividing Line BW" respectively: The front piece variables are arranged vertically below the "Front Dividing Line FW" of the sub-variable group and named. The number "FW1" corresponds to the Chinese explanation "Front Dividing Cut Point", and the other variables FW2, FW3, FW4, FW5, FW6, FW7 and the corresponding Chinese explanations are detailed in Figure 6 , I won’t go into details here;

[0143] The variables of the back slice are arranged vertically under the "back dividing line BW" of the sub-variable group and named. The number "BW1" corresponds to the Chinese explanation of "back dividing point". The other variables BW2, BW3, BW4, BW5, BW6 and the corresponding Chinese explanations are detailed in Figure 6 , I will not go into details here; the variable values ​​of "FW1" and "BW1" (plus or minus "0-360" degrees) are used to adjust the automatic rotation and segmentation of the clothing pattern, and the other variable values ​​of FW2, FW3, FW4, FW5, FW6, FW7, BW2, BW3, BW4, BW5, and BW6 (plus or minus "0-5" centimeters) are used to adjust the roundness of the segmentation curve.

[0144] Build a model of women's clothing front and back pieces with automatic rotation and segmentation. The steps are as follows:

[0145] First, computer software is used to complete the design or modeling of the general sample structure using conventional plate making methods, such as Figure 7 As shown, then based on the completed general pattern structure, the clothing front piece pattern model design with automatic rotation segmentation is done, such as Figure 8 As shown, first design the front piece dividing line, and rotate the variable value of FW1 (front dividing point) 35 degrees clockwise with point C9 as the rotation starting position and point D as the center of the circle, as shown Figure 6As shown, find the position point D1 on the front armhole line, and make a front armhole longitudinal dividing curve (named "Front Line 1") from point D1 through the chest high point D through the front waist dart to point D6. Combine the armpit darts of the front piece and transfer the dart amount to point D1 to make another front armhole longitudinal dividing curve of the front piece (named "Front Line 2"). Finally, set the positive and negative values ​​of variables FW2, FW3, FW4, FW5, FW6, and FW7 according to the variable table for the corresponding positions of the curves of "Front Line 1" and "Front Line 2" to form a horizontal relative length. Adjust the front piece segmentation curve by coordinates, carry these axes to follow synchronously when doing automatic rotation segmentation, adjust the variable value of variable table FWV1 (front segmentation tangent point) (positive and negative "0-360" degrees) to drive the front piece segmentation curve to perform automatic rotation segmentation, and adjust the positive and negative values ​​of the axis lengths of variable tables FW2, FW3, FW4, FW5, FW6, and FW7 to "0-5" centimeters to drive the front piece segmentation curve to deform and round, and build a clothing pattern model for automatic rotation segmentation. Similarly, adjust the variable value of FW1 (front segmentation point) in the variable table (positive or negative "0-360" degrees), and the segmentation curve of the front piece pattern corresponding to the D1 point of FW1 (front segmentation point) will rotate from D1 point to D1 point, and from D point to C7 point clockwise through the C1, C2, C5 turning points, and C9 turning point to C8 point counterclockwise, automatically segmenting the D2, D3, D4, D8 points on the front piece silhouette edge line and other unmarked arbitrary points on the front piece silhouette edge line, and you can get the front piece pattern of the clothing style with the new segmentation position, such as Fig. 9 Similarly, by using a model construction method for automatically rotating and segmenting the front piece pattern, a clothing back piece model and various collars, sleeves, pocket covers, three-dimensional pockets, sleeve heads and other matching patterns that are not exemplified in the present invention can be automatically rotated and segmented, thereby completing an overall clothing pattern model of automatic rotation and segmentation.

[0146] Embodiment 2: An automatic rotation and segmentation clothing pattern model and digital architecture system of the present invention specifically includes the following modules;

[0147] A vector drawing module is used to determine the clothing style to be modeled, and to perform vector drawing on the clothing style to be modeled to obtain a plane structure diagram of the clothing style;

[0148] A structure segmentation module is used to perform structure segmentation on the clothing style plane structure diagram to obtain a clothing style substructure set; the clothing style substructure set includes a plurality of plane substructures constituting the clothing style plane structure diagram;

[0149] A historical pattern collection module is used to collect historical clothing patterns of clothing styles to be modeled;

[0150] A structural change rate calculation module, for calculating the structural change rate of each plane substructure in the historical clothing sample, and marking the structural change rate in the clothing style substructure set;

[0151] The substructure screening module uses a preset structure change threshold to screen the clothing style substructure set; marks the plane substructure whose structure change rate exceeds the preset structure change threshold as a changeable plane substructure; marks the plane substructure whose structure change rate does not exceed the preset structure change threshold as a general plane substructure;

[0152] A quantification module is used to quantify and mark the variable plane substructure and the general plane substructure, and summarize the data to obtain a plane structure variable table of the clothing style to be modeled;

[0153] A building module is used to build the variable plane substructure and the general plane substructure that constitute the style structure according to the plane structure variable table; and to arrange the segmentation structure lines of the clothing style construction horizontally and vertically by drawing;

[0154] The driving and execution module is used to set the execution data of the driving segmentation structure line and associate it with the plane structure variable table; by adjusting the execution data of the segmentation structure line in the plane structure variable table, the segmentation structure line of the clothing pattern is driven to deform, rotate and move, thereby realizing automatic segmentation.

[0155] In this embodiment, the system significantly shortens the plate making time through automated vector drawing, structure segmentation and drive execution, avoiding the tedious process of rebuilding component modules for each additional style in the traditional method; the automated process reduces the need for manual operation, thereby reducing labor costs and time costs; the system can be flexibly adjusted according to the needs of different styles to meet consumers' needs for personalized clothing; by adjusting the execution data in the plane structure variable table, the deformation, rotation and position movement of the sample can be easily achieved to adapt to diverse design changes; the calculation and analysis of the structural change rate using historical clothing sample data makes the modeling process more scientific and accurate; through the quantitative marking of variable and planar substructures, clear data support is provided to facilitate subsequent optimization and improvement; the general planar substructures and variable planar substructures are effectively distinguished and managed, avoiding unnecessary duplication of labor and improving the efficiency of the use of the component library; through precise calculation and screening, the waste of materials and time in the sample making process is reduced.

[0156] The various variations and specific embodiments of the automatic rotation and segmentation clothing pattern model and digital architecture method in the aforementioned embodiment 1 are also applicable to the automatic rotation and segmentation clothing pattern model and digital architecture system of the present embodiment. Through the aforementioned detailed description of the automatic rotation and segmentation clothing pattern model and digital architecture method, those skilled in the art can clearly understand the implementation method of the automatic rotation and segmentation clothing pattern model and digital architecture system of the present embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0157] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0158] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An automatic rotation segmentation clothing pattern model and digital architecture method, characterized in that: The method comprises: Determine the clothing style to be modeled, and perform vector drawing on the clothing style to be modeled to obtain a plane structure diagram of the clothing style; Structural segmentation is performed on the clothing style plane structure diagram to obtain a clothing style substructure set; the clothing style substructure set includes a plurality of plane substructures constituting the clothing style plane structure diagram; Collect historical clothing samples of the clothing styles to be modeled; For each plane substructure, calculating the structural change rate of the plane substructure in the historical clothing samples, and marking the structural change rate into the clothing style substructure set; Using the preset structural change threshold, the clothing style substructure set is screened, and the plane substructure whose structural change rate exceeds the preset structural change threshold is marked as a changeable plane substructure; the plane substructure whose structural change rate does not exceed the preset structural change threshold is marked as a general plane substructure; Quantitatively marking the variable plane substructure and the universal plane substructure, and summarizing the data to obtain a plane structure variable table of the clothing style to be modeled; According to the plane structure variable table, the variable plane substructure and the general plane substructure that constitute the style structure are constructed, and the segmentation structure lines constructed by the clothing style are arranged horizontally and vertically by drawing; Set the execution data of the driving split structure line and associate it with the plane structure variable table. By adjusting the execution data of the split structure line in the plane structure variable table, the split structure line of the clothing pattern is driven to deform, rotate and move, thereby realizing automatic splitting.

2. The method for automatically rotating and segmenting a clothing pattern model and digital construction as claimed in claim 1, characterized in that: Collect historical clothing samples of the clothing styles to be modeled, including: Identify the style types of historical samples that need to be collected; Determine the time range of historical samples to be collected to ensure the timeliness and representativeness of the data; According to the style of the clothing to be modeled, select the historical sample of the corresponding style.

3. The method for automatically rotating and segmenting a clothing pattern model and digital construction as claimed in claim 1, characterized in that: For each plane substructure, the structural change rate of the plane substructure in the historical clothing sample is calculated, including: Select a benchmark sample from the historical samples as a standard for comparison; For each plane substructure, its performance in the historical sample is compared with the benchmark sample one by one; According to the comparison results, the structural change rate of each substructure is calculated; The calculated structural change rate is recorded in the information of each substructure and marked into the clothing style substructure set.

4. The method for automatically rotating and segmenting a clothing pattern model and digital construction as claimed in claim 3, characterized in that: The structural change rate is expressed as the ratio of the number of substructure changes in the historical template to the total number of templates, and the calculation formula is as follows: Among them, CR i represents the structural change rate of the i-th plane substructure; N change,i The number of times the i-th plane substructure has changed in the historical template; N total Indicates the total number of historical samples.

5. The method for automatically rotating and segmenting a clothing pattern model and digital construction as claimed in claim 3, characterized in that: The structural change rate is expressed as the degree of change of the substructure in different samples, and the calculation formula is as follows: Among them, CR i It is expressed as the structural change rate of the i-th plane substructure; D i,j It is expressed as the degree of change of the i-th plane substructure in the j-th historical template; N total Expressed as the total number of historical samples.

6. The method for automatically rotating and segmenting a clothing pattern model and digital construction as claimed in claim 1, characterized in that: The variable plane substructure and the general plane substructure are quantitatively marked, and data are summarized to obtain a plane structure variable table of the clothing style to be modeled, including: Each variable planar substructure is quantitatively labeled in detail, including size, shape, position, and rotation angle; Assign a unique variable name to each quantitatively labeled parameter for reference and adjustment in the subsequent modeling process; The quantitative labels of each substructure are recorded in a table to form a flat structural variable table.

7. The method for automatically rotating and segmenting a clothing pattern model and digital construction as claimed in claim 6, characterized in that: According to the plane structure variable table, the variable plane substructure and the general plane substructure that constitute the style structure are constructed, and the segmentation structure lines constructed by the clothing style are arranged horizontally and vertically by drawing, including: According to the initial value and variation range in the step plane structure variable table, adjust the parameters of the variable plane substructure, generate a specific geometric shape, and place it at the set position; According to the initial values ​​in the variable table, the parameters of the general planar substructure are fixed, the specific geometric shape is generated, and it is placed at the set position; According to the parameters in the plane structure variable table, the dividing structure lines of the clothing styles are arranged horizontally to ensure that the horizontal position and spacing of each dividing line meet the design requirements; According to the parameters in the plane structure variable table, the dividing structure lines of the clothing styles are arranged vertically to ensure that the vertical position and spacing of each dividing line meet the design requirements; Check the constructed clothing styles to ensure that the geometry, position layout and arrangement of segmentation structure lines of all substructures meet the design requirements.

8. An automatic rotation and segmentation clothing pattern model and digital architecture system, characterized in that: The system comprises: A vector drawing module is used to determine the clothing style to be modeled, and to perform vector drawing on the clothing style to be modeled to obtain a plane structure diagram of the clothing style; A structure segmentation module is used to perform structure segmentation on the clothing style plane structure diagram to obtain a clothing style substructure set; the clothing style substructure set includes a plurality of plane substructures constituting the clothing style plane structure diagram; A historical pattern collection module is used to collect historical clothing patterns of clothing styles to be modeled; A structural change rate calculation module, for calculating the structural change rate of each plane substructure in the historical clothing sample, and marking the structural change rate in the clothing style substructure set; The substructure screening module uses a preset structure change threshold to screen the clothing style substructure set; marks the plane substructure whose structure change rate exceeds the preset structure change threshold as a changeable plane substructure; marks the plane substructure whose structure change rate does not exceed the preset structure change threshold as a general plane substructure; A quantification module is used to quantify and mark the variable plane substructure and the general plane substructure, and summarize the data to obtain a plane structure variable table of the clothing style to be modeled; The building module is used to build the variable plane substructure and the general plane substructure that constitute the style structure according to the plane structure variable table; and to arrange the segmentation structure lines of the clothing style building horizontally and vertically by drawing; The driving and execution module is used to set the execution data of the driving segmentation structure line and associate it with the plane structure variable table; by adjusting the execution data of the segmentation structure line in the plane structure variable table, the segmentation structure line of the clothing pattern is driven to deform, rotate and move, thereby realizing automatic segmentation.

9. An electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, wherein: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are implemented.

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