Garment process template intelligent design system

Abstract

The invention discloses an intelligent design system for a clothing process template. The intelligent design system comprises a three-dimensional scanning unit, a template design unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit and a screen monitoring unit, the stereoscopic scanning unit is used for conducting 3D scanning on the body of the user and obtaining information data of the height, the arm length, the leg length, the shoulder breadth, the chest circumference, the hip circumference and the waist circumference of the body of the user. By comprehensively considering the figure characteristics of the user and the characteristics of the garment fabric, the intelligent design of the garment template is realized. The system provides customized clothing template design for the user by acquiring the body size and fabric performance data of the user and combining intelligent algorithm analysis. Through real-time data acquisition and analysis, the system can automatically adjust the size of the garment template, so that the garment finished product is ensured to conform to the figure characteristics of the user, and the wearing comfort and the fabric performance are also considered.

Description

Technical Field

[0001] The invention relates to the technical field of clothing design, and more specifically discloses an intelligent design system for clothing process templates. Background Art

[0002] In today's fashion industry, clothing manufacturing has developed into a global and highly competitive industry. Clothing design and production mainly rely on manual experience and complex mapping software. However, when designing clothing template sizes, traditional clothing designers mainly rely on the user's body size, but often ignore the comprehensive evaluation of the user's body shape characteristics and clothing fabric characteristics. Even if the cutting size is accurate, the user's experience when wearing it is not ideal. Summary of the invention

[0003] Purpose of the invention: The purpose of the present invention is to solve the problem that traditional clothing designers mainly rely on the user's body size when designing clothing template sizes, but often ignore the comprehensive evaluation of the user's body shape characteristics and clothing fabric characteristics. Even if the cutting size is accurate, the user's wearing experience is not ideal.

[0004] To solve the above technical problems, according to one aspect of the present invention, more specifically, a clothing process template intelligent design system includes: a three-dimensional scanning unit, a template design unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, and a screen monitoring unit;

[0005] Stereoscopic scanning unit: used to perform 3D scanning on the user's body and obtain the user's height, arm length, leg length, shoulder width, chest circumference, hip circumference, and waist circumference information data;

[0006] Template design unit: used to design a clothing template according to the user's body information data obtained by the three-dimensional scanning unit and the user's requirements for clothing design patterns;

[0007] Data acquisition unit: used to collect the information data generated in the process of clothing template design in real time;

[0008] Data transmission unit: used for real-time transmission of information data collected by the data collection unit;

[0009] Data storage unit: used to store the information data transmitted in real time by the data transmission unit;

[0010] Data processing unit: used to obtain and process the information data stored in the data storage unit, thereby obtaining the analysis results, and forwarding the analysis results to the screen monitoring unit;

[0011] Screen monitoring unit: used to receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time and display them in real time on the terminal display screen. At the same time, according to the processing results obtained by the data processing unit, the design size of the clothing module is automatically adjusted.

[0012] Furthermore, the data collection unit includes: a weight collection module, a step collection module and a height collection module;

[0013] Weight collection module: used to collect the user's weight information data in real time;

[0014] Step count collection module: used to collect the step count information data of the user's exercise in real time;

[0015] Height collection module: used to collect user's height information data in real time.

[0016] Furthermore, the data acquisition unit further includes: a thickness acquisition module, a longitude and latitude acquisition module, and a temperature and humidity acquisition module;

[0017] Thickness collection module: used to collect thickness information data at sampling points of clothing fabrics in real time;

[0018] Warp and weft collection module: used to collect the number of warp and weft lines, stretch length and breaking strength information data of clothing fabrics in real time;

[0019] Temperature and humidity acquisition module: used to collect temperature and humidity information data in the clothing production factory in real time.

[0020] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, and a result forwarding module;

[0021] Data acquisition module: used for real-time acquisition of information data stored in the data storage unit;

[0022] Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment;

[0023] Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the screen monitoring unit.

[0024] Furthermore, the screen monitoring unit includes: a data receiving module, a data display module and an intelligent adjustment module;

[0025] Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time;

[0026] Data display module: used to display the information data received by the data receiving module on the terminal display screen;

[0027] Intelligent adjustment module: used to automatically adjust the design size of the clothing module according to the processing results obtained by the data processing unit.

[0028] Furthermore, the analysis and judgment module can obtain the user's weight, height and the number of steps of the user from the data acquisition module, and obtain the user's body shape index by analyzing the above acquired data:

[0029]

[0030] Among them, BS is the user's body shape index, d is the total time of data collection, and W i is the actual weight of the user on day i, H avg is the average height of users within d days, V f is the user's abdominal volume, V b is the user's total body volume, BMR is the user's basal metabolic rate, step i is the number of steps taken by the user on day i, step max is the maximum number of steps taken by the user within d days, step min is the minimum number of steps taken by the user within d days, and α is the conversion coefficient.

[0031] Furthermore, the analysis and judgment module can obtain the thickness of the clothing fabric at the sampling point and the number of warp and weft lines, stretch length and breaking strength information data of the clothing fabric from the data acquisition module, and obtain the clothing fabric index by analyzing the above acquired data:

[0032]

[0033] Among them, FBC is the clothing fabric index, μ is the friction coefficient between the fabric and human skin, Z is the total number of fabric thickness samples taken on one square decimeter of clothing fabric, and h is k is the fabric thickness at the kth sampling point, M is the weight of one square decimeter of clothing fabric, N e is the number of warp threads in one square decimeter of clothing fabric, is the maximum stretching length of the jth meridian, is the breaking strength of the jth warp, N p is the number of weft threads in one square decimeter of clothing fabric, is the maximum stretching length of the jth latitude, is the breaking strength of the j-th latitude.

[0034] Furthermore, the analysis and judgment module can obtain the temperature and humidity information data in the clothing production factory from the data acquisition module, and obtain the size revision coefficient of the clothing through the analysis of the above acquired data:

[0035]

[0036] After obtaining the size revision coefficient of the clothing, the clothing template designed by the template design unit is revised using the size revision coefficient of the clothing, and the revised clothing template size is obtained:

[0037] new=δ·past

[0038] Among them, δ is the size revision coefficient of clothing, BS is the user's body shape index, FBC is the clothing fabric index, d is the total time for data collection, T i is the average temperature of the clothing factory on day i, wet i is the average humidity of the clothing production field on the i-th day, T e The preset standard clothing fabric cutting temperature is wet e is the preset standard clothing fabric cutting humidity, ptn is the preset clothing pattern adjustment coefficient, past is the size of the clothing template before revision, and new is the size of the clothing template after revision.

[0039] The beneficial effect of the intelligent design system of clothing process templates of the present invention is that the intelligent design of clothing templates is realized by comprehensively considering the user's body shape characteristics and clothing fabric characteristics. The system obtains the user's body size and fabric performance data, and combines intelligent algorithm analysis to provide users with tailor-made clothing template designs. Through real-time data collection and analysis, the system can automatically adjust the size of the clothing template to ensure that the finished clothing product not only meets the user's body shape characteristics, but also takes into account wearing comfort and fabric performance. This not only improves the efficiency and accuracy of clothing design and production, but also effectively avoids the problem of wearing discomfort caused by ignoring fabric characteristics and user body shape differences in traditional design methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0041] Figure 1 This is a schematic diagram of the system principle. DETAILED DESCRIPTION

[0042] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0043] According to one aspect of the present invention, Figure 1As shown, a clothing process template intelligent design system is provided. First, a 3D scan of the user's body is performed through a stereoscopic scanning unit to obtain the user's height, arm length, leg length, shoulder width, chest circumference, hip circumference, and waist circumference information data. Then, a template design unit is used to perform a preliminary design of the clothing template based on the user's body information data obtained by the stereoscopic scanning unit and the user's requirements for the clothing design pattern.

[0044] Then, the weight collection module, step collection module, height collection module, thickness collection module, longitude and latitude collection module and temperature and humidity collection module in the data collection unit respectively collect the user's weight, number of steps, height, thickness of clothing fabric at sampling points, number of longitude and latitude of clothing fabric, stretching length and breaking strength as well as temperature and humidity information data in the clothing production factory in real time.

[0045] Then, the collected data is transmitted to the data storage unit in real time through the data transmission unit, and then the information data is obtained from the data storage unit through the data acquisition module in the data analysis unit. Further, the obtained information data is processed and analyzed through the analysis and judgment module, and the analysis results are forwarded to the screen monitoring unit.

[0046] Afterwards, the data receiving module in the screen monitoring unit can receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time, and display the received information data on the terminal display screen through the data display module. At the same time, according to the analysis results of the data processing unit, the size of the pre-designed clothing template is automatically revised, so that the finished clothing designed through the clothing template can give users the best wearing experience.

[0047] The analysis and judgment module can obtain the user's weight, height and the number of steps of the user from the data acquisition module, and analyze the above acquired data to obtain the user's body shape index:

[0048]

[0049] The larger the user's body shape index BS is, the fatter the user is. When the user's body shape index BS is ≥ 3, it means that the user is too fat and will affect his health, and the user needs to lose weight. When the user's body shape index BS is ≤ 2, it means that the user is too thin and will affect his health, and the user needs to gain weight. BS is the user's body shape index, d is the total time for data collection, and W is the total time for data collection. i is the actual weight of the user on day i, H avg is the average height of users within d days, V f is the user's abdominal volume, V bis the user's total body volume, BMR is the user's basal metabolic rate, which can be calculated using the Harris-Benedict formula, and step i is the number of steps taken by the user on day i, step max is the maximum number of steps taken by the user within d days, step min is the minimum number of steps taken by the user in d days, α is the conversion coefficient, and its value is 1000. During the data collection process, the user's total body volume V b = 0.059, the user's abdominal volume V f = 0.011, the average height of users in d days, H avg =1.7, The user's basal metabolic rate BMR≈1645, Within d days, the maximum and minimum number of steps of the user are: step max =12000,step min =8000, so, And if 2<2.37<3, it means that the user's body shape and weight are standard and will not affect his health.

[0050] The analysis and judgment module can obtain the thickness of the clothing fabric at the sampling point, the number of warp and weft lines, the stretching length and the breaking strength information data of the clothing fabric from the data acquisition module, and obtain the clothing fabric index through the analysis of the above acquired data:

[0051]

[0052] The larger the clothing fabric index FBC is, the higher the strength of the clothing fabric is and the better the tensile performance is. When the clothing fabric index FBC is less than 0.2, it means that the strength of the clothing fabric is too low and the tensile performance is poor. It is necessary to reselect clothing fabrics with high strength and good tensile performance. Among them, FBC is the clothing fabric index, μ is the friction coefficient between the fabric and the human skin, Z is the total number of samples taken for fabric thickness sampling on one square decimeter of clothing fabric, and h is the total number of samples taken for fabric thickness sampling on one square decimeter of clothing fabric. k is the fabric thickness at the kth sampling point, M is the weight of one square decimeter of clothing fabric, N e is the number of warp threads in one square decimeter of clothing fabric, is the maximum stretching length of the jth meridian, is the breaking strength of the jth warp, N p is the number of weft threads in one square decimeter of clothing fabric, is the maximum stretching length of the jth latitude, is the breaking strength of the j-th weft. During data collection, the friction coefficient μ between the fabric and the human skin is 0.55. The total number of samples Z for fabric thickness sampling on one square decimeter of clothing fabric is 36, and the weight M of one square decimeter of clothing fabric is 2.5. The number of warp and weft threads in one square decimeter of clothing fabric are: N e = 66, N p = 54, Therefore, And 0.48 > 0.2, which indicates that the clothing fabric used has high strength and good stretching performance.

[0053] The analysis and judgment module can obtain the temperature and humidity information data in the clothing production factory from the data acquisition module, and analyze the obtained data to obtain the size revision coefficient of the clothing:

[0054]

[0055] After obtaining the size revision coefficient of the clothing, use the size revision coefficient of the clothing to revise the clothing template designed by the template design unit, and obtain the size of the revised clothing template:

[0056] new = δ · past

[0057] where δ is the size revision coefficient of the clothing, BS is the body shape index of the user, FBC is the clothing fabric index, d is the total duration of data collection, T i is the average temperature of the clothing production factory on the i-th day, wet i is the average humidity of the clothing production factory on the i-th day, T e is the preset standard clothing fabric cutting temperature, wet e is the preset standard clothing fabric cutting humidity, ptn is the preset clothing版型 adjustment coefficient, past is the size of the clothing template before revision, new is the size of the revised clothing template. It should be noted that the clothing版型 is divided into tight clothing, standard clothing, and loose clothing, and their corresponding clothing版型 adjustment coefficients are: 0.91, 1.05, and 1.08 respectively. And when BS ≤ 2.3, it means the user is more suitable for tight clothing; when 2.3 < BS ≤ 2.7, it means the user is more suitable for standard clothing; when BS > 2.7, it means the user is more suitable for loose clothing. During data collection, the body shape index BS of the user is approximately 2.37, and 2.3 < 2.37 ≤ 2.7, then the preset clothing版型 adjustment coefficient ptn = 1.01, the clothing fabric index FBC is approximately 0.48, and the preset standard clothing fabric cutting temperature and humidity are: T e = 20, wet e = 50, Therefore, Furthermore, the bust size of the clothing template before revision is past=100, and the size of the clothing template after revision is new=100×1.01=101.

[0058] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. An intelligent design system for clothing process templates, characterized in that: include: Three-dimensional scanning unit, template design unit, data acquisition unit, data transmission unit, data storage unit, data processing unit, screen monitoring unit; Stereoscopic scanning unit: used to perform 3D scanning on the user's body and obtain the user's height, arm length, leg length, shoulder width, chest circumference, hip circumference, and waist circumference information data; Template design unit: used to design a clothing template according to the user's body information data obtained by the three-dimensional scanning unit and the user's requirements for clothing design patterns; Data acquisition unit: used to collect the information data generated in the process of clothing template design in real time; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to obtain and process the information data stored in the data storage unit, thereby obtaining the analysis results, and forwarding the analysis results to the screen monitoring unit; Screen monitoring unit: used to receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time and display them in real time on the terminal display screen. At the same time, according to the processing results obtained by the data processing unit, the design size of the clothing module is automatically adjusted.

2. The intelligent design system for garment process templates according to claim 1, characterized in that: The data collection unit includes: a weight collection module, a step collection module and a height collection module; Weight collection module: used to collect the user's weight information data in real time; Step count collection module: used to collect the step count information data of the user's exercise in real time; Height collection module: used to collect user's height information data in real time.

3. The intelligent design system for garment process templates according to claim 2, characterized in that: The data acquisition unit also includes: a thickness acquisition module, a longitude and latitude acquisition module, and a temperature and humidity acquisition module; Thickness collection module: used to collect thickness information data at sampling points of clothing fabrics in real time; Warp and weft collection module: used to collect the number of warp and weft lines, stretch length and breaking strength information data of clothing fabrics in real time; Temperature and humidity acquisition module: used to collect temperature and humidity information data in the clothing production factory in real time.

4. The intelligent design system for garment process templates according to claim 3 is characterized by: The data processing unit includes: a data acquisition module, an analysis and judgment module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment; Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the screen monitoring unit.

5. The intelligent design system for garment process templates according to claim 4 is characterized in that: The screen monitoring unit includes: a data receiving module, a data display module and an intelligent adjustment module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the terminal display screen; Intelligent adjustment module: used to automatically adjust the design size of the clothing module according to the processing results obtained by the data processing unit.

6. The intelligent design system for garment process templates according to claim 5, characterized in that: The analysis and judgment module can obtain the user's weight, height and the number of steps of the user's exercise from the data acquisition module, and obtain the user's body shape index through the analysis of the above acquired data: Among them, BS is the user's body shape index, d is the total time of data collection, and W i is the actual weight of the user on day i, H avg is the average height of the user in d days, Vf is the abdominal volume of the user, V b is the user's total body volume, BMR is the user's basal metabolic rate, step i is the number of steps taken by the user on the i-th day, step max is the maximum number of steps taken by the user within d days, step min is the minimum number of steps taken by the user within d days, and α is the conversion coefficient.

7. The intelligent design system for garment process templates according to claim 6, characterized in that: The analysis and judgment module can obtain the thickness of the clothing fabric at the sampling point and the number of warp and weft lines, stretch length and breaking strength information data of the clothing fabric from the data acquisition module, and obtain the clothing fabric index through the analysis of the above acquired data: Among them, FBC is the clothing fabric index, μ is the friction coefficient between the fabric and human skin, Z is the total number of fabric thickness samples taken on one square decimeter of clothing fabric, and h is k is the fabric thickness at the kth sampling point, M is the weight of one square decimeter of clothing fabric, N e is the number of warp threads in one square decimeter of clothing fabric, is the maximum stretching length of the jth meridian, is the breaking strength of the jth warp, N p is the number of weft threads in one square decimeter of clothing fabric, is the maximum stretching length of the j-th latitude line, is the breaking strength of the j-th latitude.

8. The intelligent design system for garment process templates according to claim 7 is characterized in that: The analysis and judgment module can obtain the temperature and humidity information data in the clothing production factory from the data acquisition module, and obtain the size revision coefficient of the clothing through the analysis of the above acquired data: After obtaining the size revision coefficient of the clothing, the clothing template designed by the template design unit is revised using the size revision coefficient of the clothing, and the revised clothing template size is obtained: new=δ·past Among them, δ is the size revision coefficient of clothing, BS is the user's body shape index, FBC is the clothing fabric index, d is the total time for data collection, T i is the average temperature of the clothing factory on day i, wet i is the average humidity of the clothing production field on the i-th day, T e The preset standard clothing fabric cutting temperature is wet e is the preset standard clothing fabric cutting humidity, ptn is the preset clothing pattern adjustment coefficient, past is the size of the clothing template before revision, and new is the size of the clothing template after revision.

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