CN112380687B - Fuzzy theory-based western-style clothes quick lining quantification method - Google Patents
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Abstract
The invention discloses a fuzzy theory-based western-style clothes rapid lining quantification method, which specifically comprises the following steps: step 1, analyzing main factors affecting compatibility of a suit fabric and an adhesive interlining; the analysis process in step 1 includes three parts: the method comprises the steps of (1) analyzing the weight of experimental material specification and fabric specification factors for western-style clothes and analyzing the weight of adhesive interlining specification factors; and 2, establishing a fuzzy mathematic-based relation model of the fabric and the adhesive interlining. The invention obtains the main component factors of the fabric and the lining which influence the modeling style of the suit by respectively carrying out weight analysis (dividing the specification factors into 1-4 grades of weights) on the surface and the lining by adopting a clustering analysis method. Finally, establishing a fuzzy relation model of the lining material of the western-style face by utilizing a probability and set value statistical method of a fuzzy mathematical theory.
Description
Technical Field
The invention belongs to the technical field of clothing artificial intelligence, and relates to a fuzzy theory-based rapid lining matching quantification method for a business suit.
Background
The current social clothing is taken as a fashion symbol, not only meets the requirement of wearing comfort of people, but also represents the image and the gas of the wearer. Western-style clothes are the first choice of modern society professional wear, and especially men's western-style clothes represent men's social status, intrinsic strength and personality charm because of their normal and fazenda styles, and last for over 200 years. One key feature in the style of western style clothes is the stiffness of the appearance, wherein the skeleton function of the "lining" is of paramount importance. In fact, in the process of making and wearing western-style clothes, many appearance quality problems and poor appearance effects are caused by mismatching of lining and lining of the western-style clothes, so that compatibility of the lining and the lining becomes one of key process control links in the process of processing the western-style clothes of clothing enterprises. At present, the compatibility of western-style clothes and adhesive interlining of clothing enterprises is mainly selected by experience or through multiple adhesive experiments, and mostly the compatibility of different western-style clothes fabrics and adhesive interlining is focused on, and the difference of the requirements of different parts of the western-style clothes on the adhesive interlining is ignored.
Disclosure of Invention
The invention aims to provide a fuzzy theory-based rapid lining quantification method for a business suit, which is characterized in that the main component factors of the lining and the lining affecting the modeling style of the business suit are obtained by respectively carrying out weight analysis (1-4-level weight division) on the specification factors of the lining and the lining, and adopting a cluster analysis method. Finally, establishing a fuzzy relation model of the lining material of the western-style face by utilizing a probability and set value statistical method of a fuzzy mathematical theory.
The invention adopts the technical scheme that the quick lining matching quantization method for the business suit based on the fuzzy theory comprises the following steps:
step 1, analyzing main factors affecting compatibility of a suit fabric and an adhesive interlining;
the analysis process in step 1 includes three parts: the method comprises the steps of (1) analyzing the weight of experimental material specification and fabric specification factors for western-style clothes and analyzing the weight of adhesive interlining specification factors;
and 2, establishing a fuzzy mathematic-based relation model of the fabric and the adhesive interlining.
The present invention is also characterized in that,
the specification test parameters of the experimental material for the western-style clothes comprise the density, the gram weight, the thickness, the stiffness, the stretchability, the elasticity, the drapability and the crease recovery rate of the fabric; the specification test parameters of the adhesive backing include the adhesive backing's crumb density, grammage, thickness, stiffness, stretchability, elasticity, drape and crease recovery.
The fabric specification factor weight analysis process comprises the following steps: the system cluster analysis method is adopted, and the specific distribution conditions of the cluster analysis tree are as follows:
the warp density and the weft density can be gathered into one class when T is smaller than 0.985; the warp density and the elongation can be gathered into one class when T is smaller than 0.962; the gram weight and the overhang coefficient can be gathered into one class when T is smaller than 0.933; the count and the crease recovery angle can be clustered into one class when T is less than 0.922; thickness and stiffness can be grouped into one class when T is less than 0.843; the raw material components and gram weights can be gathered into one class when T is smaller than 0.836; the count and the warp density can be gathered into one class when T is smaller than 0.809; the raw material components and the thickness can be gathered into one type when T is smaller than 0.291; the raw material components and the number of the raw materials can be gathered into one class when T is smaller than-0.048; the input threshold is 0.8, and finally three types of input thresholds can be gathered: the first category contains five factors: count, warp density, weft density, fold recovery angle and elongation, the second category contains two factors: raw material composition and grammage, the third category contains three factors: count, warp density and elongation, i.e. first part: phase polymerization of count, warp density, weft density, crease recovery angle, elongation rate, thickness and stiffness, and phase polymerization of raw material components, gram weight and suspension coefficient; a second part: the count, warp density, weft density, crease recovery angle, elongation, thickness, stiffness and raw material composition, gram weight and overhang coefficient are polymerized again.
The weight analysis process of the adhesive lining specification factor in the step 1 is as follows: the adhesive interlining specification and performance can be finally classified into three types by adopting a cluster analysis method: the first category contains two factors: thickness, stiffness; the second category contains five factors: raw material composition, gram weight, warp density, tissue and elongation; the third category contains three factors: thickness, fold recovery angle, drape coefficient;
a first part: the count and stiffness are polymerized, and the raw material components, gram weight, warp density, weft density and elongation are polymerized together, and the thickness, crease recovery angle and suspension coefficient are polymerized together; a second part: the count, stiffness, raw material composition, grammage, warp density, weft density, elongation and thickness, crease recovery angle and drape coefficient are polymerized again.
The model establishment in step 2 comprises the following 6 parts: a) A collar part fabric and bonding liner relation model; b) A shoulder fabric and bonding liner relationship model; c) The armhole and armhole part fabric and adhesive interlining relation model; d) An underarm part fabric and adhesive interlining relation model; e) A model of the relationship between the front chest fabric and the adhesive interlining; f) And (5) a relation model of the fabric and the adhesive interlining at the bag cover part.
In the step 2, the relationship model of the collar part fabric and the adhesive interlining comprises a fuzzy relationship matrix (1) between the thickness of the adhesive interlining and the thickness of the fabric and a fuzzy relationship matrix (2) between the gram weight of the adhesive interlining and the gram weight of the fabric:
the shoulder fabric and bonding liner relation model in the step 2 comprises a thickness relation matrix (3) between the shoulder fabric and the bonding liner and a gram weight relation matrix (4) between the shoulder fabric and the bonding liner:
the armhole and armhole part fabric and bonding lining relation model in the step 2 comprises a thickness relation matrix (5) between the armhole part fabric and the bonding lining and a gram weight relation matrix (6) between the armhole part fabric and the bonding lining:
the relation model of the armpit part fabric and the adhesive interlining in the step 2 comprises a thickness relation matrix (7) between the armpit part fabric and the adhesive interlining and a gram weight relation matrix (8) between the armpit part fabric and the adhesive interlining:
the relation model of the front chest position fabric and the bonding lining in the step 2 comprises a thickness relation matrix (9) between the front chest position fabric and the bonding lining and a gram weight relation matrix (10) between the front chest position fabric and the bonding lining:
the relation model of the pocket cover part fabric and the bonding lining in the step 2 comprises a thickness relation matrix (11) between the pocket part fabric and the bonding lining and a gram weight relation matrix (12) between the pocket part fabric and the bonding lining:
the beneficial effects of the invention are as follows:
(1) The technical purpose of the invention is to pay attention to the appearance style characteristics of the high-grade western-style clothes produced by the high-grade light and thin fabric, and firstly proposes that the modeling styles of different parts of the western-style clothes are closely related to the lining quality and effect of the western-style clothes. Thus, 11 main lining parts for the western-style clothes are divided, namely a front piece, a collar, a front chest, armholes, shoulders, armholes, fine dried noodles, a lapel, a bag cover, cuffs, a lower hem and the like.
(2) According to the technical scheme, by means of probability of fuzzy mathematics thought and value collection statistical method, a compatibility relation matrix of fabric and adhesive interlining is built for 11 divided western-style clothes interlining positions, intrinsic rules between material structure, using conditions and the like and performances are revealed, a new way and a new method are provided for rapid intelligent interlining of high-grade western-style clothes in production, and an artificial intelligent algorithm model is provided for building an intelligent clothing application system of the western-style interlining based on knowledge sharing. The innovation and the advancement are obvious.
Drawings
FIG. 1 is a schematic diagram of a variable merging process icicle in a weight analysis of a specification factor of a face fabric of a business suit in a business suit quick lining quantification method based on a fuzzy theory;
FIG. 2 is a cluster tree relationship diagram in weight analysis of the specification factors of the fabric of the business suit in the business suit rapid lining quantification method based on the fuzzy theory.
In the figure, 1. Raw material composition, 2. Gram weight, 3. Count, 4. Warp density, 5. Weft density, 6. Thickness, 7. Wrinkle recovery angle, 8. Drape coefficient, 9. Elongation, 10. Stiffness.
Detailed Description
The invention will be described in detail below with reference to the drawings and the detailed description.
The invention discloses a fuzzy theory-based western-style clothes quick lining quantification method, which specifically comprises the following steps:
1. analyzing main factors affecting compatibility of the fabric and the adhesive interlining of the western-style clothes;
a. the specification of the experimental material for the western-style clothes,
6 most commonly used western-style clothes fabrics and 6 bonding liners of a western-style clothes enterprise are selected, and specification parameter tests are carried out to obtain a specification parameter table 1 of the fabrics for the western-style clothes and a specification parameter table 2 of the bonding liners for the western-style clothes;
in Table 1, M1. Wool/polyester fabric (70/30, twill), M2. Full wool fabric (100, plain weave), M3. Wool/polyester fabric (50/50, twill), M4. wool/polyester fabric (50/50, satin), M5. wool/polyester fabric (50/50, plain weave), M6. wool/polyester fabric (60/40, plain weave);
C1. polyester adhesive interlining (100, forge), C2. polyester adhesive interlining (100, plain weave), C3. polyester adhesive interlining (100, plain weave), c4 polyester adhesive interlining (100, plain weave), C5. polyester/nylon adhesive interlining (50/50), C6. polyester/nylon adhesive interlining (50/50);
in tables 1 and 2, the specification test indexes of the 6 kinds of western-style clothes fabrics include the density (warp density, weft density), grammage, thickness, stiffness, stretchability (warp stretchability, weft stretchability), elasticity, drapability and crease recovery rate of the fabrics; specification test specifications for 6 bond lines included bond line crumb density, grammage, thickness, stiffness, stretchability (warp stretchability, weft stretchability), elasticity, drape and crease recovery. Wherein, the unit of the warp/weft density of the fabric is root/10 cm; the gram weight of the fabric is g/m2; the thickness of the fabric is in mm; the fabric stretchability is expressed in units of; the crease recovery rate of the fabric is shown in units of; adhesive backing particle density in units of individual/m 2; the gram weight of the bonding lining is g/m2; the thickness of the adhesive lining is in mm; the stretchability of the adhesive interlining in units of; the adhesive interlining crease recovery in%. The test results of the 6 western-style clothes fabrics and the 6 adhesive interlining specifications are shown in tables 1 and 2.
Table 1 fabric specification statistics table
TABLE 2 statistics of lining material specifications
b. The weight of the specification factors of the fabric is analyzed,
adopting a systematic cluster analysis method, obtaining by a computer, wherein the case analysis is shown in table 3, the correlation coefficient among the variables is shown in table 3, the merging process of the variables is shown in icicle figure 1, and the cluster tree-like relationship of the variables is shown in figure 2;
the analysis process can be known from the results of each graph, and the specific distribution condition of the cluster analysis tree is that warp density 4 and weft density 5 can be clustered into one type when T is smaller than 0.985; warp density 4 and elongation 9 can be grouped into one class when T is less than 0.962; the grammage 2 and the overhang coefficient 8 can be gathered into one class when T is less than 0.933; the count 3 and the crease recovery angle 7 can be grouped into one class when T is less than 0.922; thickness 6 and stiffness 10 can be grouped together at T less than 0.843; raw material component 1 and gram weight 2 can be grouped into one type when T is less than 0.836; the count 3 and the warp density 4 can be gathered into one type when T is smaller than 0.809; the raw material components and the thickness 6 can be gathered into one type when T is smaller than 0.291; the raw material component 1 and the count 3 can be gathered into one type when T is smaller than-0.048; the input threshold is 0.8, and finally three types of input thresholds can be gathered: the first category contains five factors: count 3, warp density 4, weft density 5, crimp recovery angle 7 and elongation 9, the second category contains two factors: raw material composition 1 and grammage 2, the third category contains three factors: the count 3, the warp density 4 and the elongation 9, namely the first part count 3, the warp density 4, the weft density 5, the crease recovery angle 7 and the elongation 9 are polymerized, the thickness 6 and the stiffness 10 are polymerized, and the raw material component 1, the gram weight 2 and the overhang coefficient 8 are polymerized; the second fraction (count 3, warp density 4, weft density 5, fold recovery angle 7, elongation 9), (thickness 6, stiffness 10) was repolymerized with (raw material composition 1, grammage 2, drape coefficient 8);
the clustering result is that in the specification index of the fabric which influences the compatibility of the fabric and the adhesive interlining, one factor can be selected from the count of the fabric, the warp density of the fabric, the weft density of the fabric and the thickness of the fabric, one factor is selected from the raw material components and the gram weight, and one factor is selected from the count, the warp density and the elongation, and the effect is basically equivalent to 10 factors, but is more economical and rapid;
TABLE 3 Table 3
Agglomeration Schedule
c. The weight of the adhesive interlining specification factor is analyzed,
the same clustering analysis method as the weight analysis of the fabric specification factors can be used for finally classifying the specification and the performance of the adhesive interlining into three types: the first category contains two factors: thickness 6, stiffness 10; the second category contains five factors: raw material component 1, gram weight 2, warp density 4 and elongation 9; the third category contains three factors: thickness 6, fold recovery angle 7, drape coefficient 8. Namely the first part: 3 counts, 10 stiffness, 1 raw material component, 2 gram weight, 4 warp density, 5 weft density, 9 elongation, 6 thickness, 7 crease recovery angle and 8 suspension coefficient; a second part: repolymerization of count 3, stiffness 10, (raw material composition 1, grammage 2, warp density 4, weft density 5, elongation 9) and (thickness 6, crease recovery angle 7, drape coefficient 8);
this means that in the specification index of the adhesive interlining which affects the compatibility of the face fabric and the adhesive interlining, one factor can be selected from the base fabric component, the base fabric type, the gram weight, the organization and the drapability of the adhesive interlining, one factor can be selected from the thickness and the stiffness, and one of the adhesive density, the crease recovery angle and the stretchability can be selected, so that the effect is basically equivalent to 10 factors, but is more economical and rapid;
conclusion: the count of the fabric, the warp density of the fabric and the weft density of the fabric directly influence the thickness of the fabric, and the gram weight of the fabric is directly influenced by the raw material components; the backing composition, backing type, and backing organization of the adhesive backing directly affect the adhesive backing grammage. Therefore, the thickness and the gram weight of the fabric are selected, and the thickness and the gram weight of the adhesive interlining respectively establish a compatibility relation model of the fabric and the adhesive interlining in terms of thickness and gram weight.
2. Establishing a fuzzy mathematics-based fabric and bonding liner relation model
Generally, a fuzzy relation matrix is constructed by using a hypothesis distribution method, but the fuzzy relation matrix is directly constructed by using a probability and set value statistical method from original observation data without artificial hypothesis, and the influence on inaccuracy of a fuzzy relation model caused by unreasonable hypothesis distribution method is directly avoided by adopting the method;
the probability and set value statistical method comprises the following steps: 1) Dividing X and Y into a plurality of cells; 2) Fixing one variable, and calculating the percentage of the observed value of the other related variable falling into each cell; 3) Establishing a fuzzy relation matrix;
a. a collar part fabric and an adhesive interlining relation model,
and respectively carrying out the thickness relation model of the shell fabric and the bonding liner at the collar part and the relation model derivation between the shell fabric and the bonding liner gram weight according to the steps of the probability and mechanism statistical method. According to the distance of the test data, the distance between the lining thickness ranges is 0.5mm, and the distance between the lining thickness ranges is 0.05mm. Obtaining a fuzzy relation matrix (1) between the thickness of the bonding liner and the thickness of the fabric and a fuzzy relation matrix (2) between the gram weight of the bonding liner and the gram weight of the fabric;
b. the shoulder fabric and the bonding lining are related to a model,
the thickness and gram weight relations between the shoulder fabric and the adhesive interlining can be obtained by adopting a probability and value collection statistical analysis method respectively and are respectively matrixes (3) and (4):
c. the armhole and armhole position fabric and adhesive interlining relation model,
the thickness and gram weight relations between the armhole part fabric and the bonding lining are respectively obtained by adopting a probability and set value statistical analysis method and are respectively matrixes (5) and (6):
d. the axillary part fabric and the bonding lining relation model,
the thickness and gram weight relations between the armpit fabric and the adhesive interlining are respectively obtained by adopting a probability and value collection statistical analysis method and are respectively matrixes (7) and (8):
e. a model of the relationship between the front chest fabric and the adhesive interlining;
the thickness and gram weight relations between the front chest fabric and the adhesive interlining are respectively obtained by adopting a probability and value collection statistical analysis method and are respectively matrixes (9) and (10):
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f. a relation model of the fabric and the adhesive interlining at the bag cover part;
the thickness and gram weight relations between the pocket part fabric and the adhesive interlining are respectively obtained by adopting a probability and value collection statistical analysis method and are respectively matrixes (11) and (12):
and the fuzzy relation model matrix of the fabric and the adhesive interlining of the rest of the western-style clothes can be obtained by the same method.
According to the fuzzy theory-based quick lining matching quantification method for the business suit, through the case analysis of the embodiment, the case experimental data of the embodiment are introduced as an inlet, and the thickness and the gram weight of two key factors affecting the compatibility of the face fabric and the adhesive lining of the business suit are obtained through cluster analysis. On the basis, a fuzzy relation model of the business suit fabric and the adhesive interlining is established by adopting a probability and set value statistical method of a fuzzy mathematical theory. Although the sampling amount and sampling sources of the data samples are different, the quantization method for obtaining the fuzzy relation matrix of the western-style clothes fabric and the adhesive interlining is completely feasible and practical, and provides a new method and a new view angle for the rapid and intelligent quantization of the western-style clothes interlining process of enterprises, especially the future intelligent manufacturing realization of high-end brand western-style clothes. The method has a strong pushing effect on the improvement of the working efficiency and the sharing of the enterprise experience knowledge in the clothing making process of clothing enterprises.
Claims (4)
1. A fuzzy theory-based western-style clothes quick lining quantification method is characterized in that: the method specifically comprises the following steps:
step 1, analyzing main factors affecting compatibility of a suit fabric and an adhesive interlining;
the analysis process in step 1 includes three parts: the method comprises the steps of (1) analyzing the weight of experimental material specification and fabric specification factors for western-style clothes and analyzing the weight of adhesive interlining specification factors;
step 2, establishing a fuzzy mathematics-based relationship model between the fabric and the adhesive interlining;
the model establishment in the step 2 comprises the following 6 parts: a) A collar part fabric and bonding liner relation model; b) A shoulder fabric and bonding liner relationship model; c) The armhole and armhole part fabric and adhesive interlining relation model; d) An underarm part fabric and adhesive interlining relation model; e) A model of the relationship between the front chest fabric and the adhesive interlining; f) A relation model of the fabric and the adhesive interlining at the bag cover part;
in the step 2, the collar part fabric and bonding liner relation model comprises a fuzzy relation matrix (1) between bonding liner thickness and fabric thickness and a fuzzy relation matrix (2) between bonding liner gram weight and fabric gram weight:
the shoulder fabric and bonding pad relation model in the step 2 comprises a thickness relation matrix (3) between the shoulder fabric and the bonding pad and a gram weight relation matrix (4) between the shoulder fabric and the bonding pad:
the armhole sleeve position fabric and bonding lining relation model in the step 2 comprises a thickness relation matrix (5) between the armhole position fabric and the bonding lining and a gram weight relation matrix (6) between the armhole position fabric and the bonding lining:
the relation model of the armpit part fabric and the adhesive interlining in the step 2 comprises a thickness relation matrix (7) between the armpit part fabric and the adhesive interlining and a gram weight relation matrix (8) between the armpit part fabric and the adhesive interlining:
the relation model of the front chest piece fabric and the bonding pad in the step 2 comprises a thickness relation matrix (9) between the front chest piece fabric and the bonding pad and a gram weight relation matrix (10) between the front chest piece fabric and the bonding pad:
the relation model of the pocket cover part fabric and the bonding lining in the step 2 comprises a thickness relation matrix (11) between the pocket part fabric and the bonding lining and a gram weight relation matrix (12) between the pocket part fabric and the bonding lining:
2. the quick lining quantization method for the business suit based on the fuzzy theory according to claim 1, which is characterized in that: the experimental material specification test parameters for the western-style clothes comprise the density, the gram weight, the thickness, the stiffness, the stretchability, the elasticity, the drapability and the crease recovery rate of the fabric; the specification test parameters of the adhesive backing include the adhesive backing's crumb density, grammage, thickness, stiffness, stretchability, elasticity, drape and crease recovery.
3. The quick lining quantization method for the business suit based on the fuzzy theory according to claim 1, which is characterized in that: the fabric specification factor weight analysis process comprises the following steps: the system cluster analysis method is adopted, and the specific distribution conditions of the cluster analysis tree are as follows:
the warp density and the weft density are gathered into one class when T is smaller than 0.985; the warp density and the elongation are gathered into one class when T is smaller than 0.962; the gram weight and the overhang coefficient are gathered into one class when T is smaller than 0.933; the count and the crease recovery angle are gathered into one class when T is smaller than 0.922; thickness and stiffness are grouped into one class when T is less than 0.843; the raw material components and gram weights are gathered into one class when T is smaller than 0.836; the count and the warp density are gathered into one class when T is smaller than 0.809; the raw material components and the thickness are gathered into one type when T is less than 0.291; the raw material components and the count are gathered into one class when T is smaller than-0.048; the input threshold is 0.8, and finally three types are gathered: the first category contains five factors: count, warp density, weft density, fold recovery angle and elongation, the second category contains two factors: raw material composition and grammage, the third category contains three factors: count, warp density and elongation, i.e. first part: phase polymerization of count, warp density, weft density, crease recovery angle, elongation rate, thickness and stiffness, and phase polymerization of raw material components, gram weight and suspension coefficient; a second part: the count, warp density, weft density, crease recovery angle, elongation, thickness, stiffness and raw material composition, gram weight and overhang coefficient are polymerized again.
4. The quick lining quantization method for the business suit based on the fuzzy theory according to claim 1, which is characterized in that: the weight analysis process of the adhesive interlining specification factors in the step 2 is as follows: and finally classifying the specification and the performance of the adhesive interlining into three types by adopting a cluster analysis method: the first category contains two factors: thickness, stiffness; the second category contains five factors: raw material composition, gram weight, warp density, tissue and elongation; the third category contains three factors: thickness, fold recovery angle, drape coefficient;
a first part: polymerization of count and stiffness, polymerization of raw material components, gram weight, warp density, weft density and elongation rate, and polymerization of thickness, crease recovery angle and suspension coefficient; a second part: the count, stiffness, raw material composition, grammage, warp density, weft density, elongation and thickness, crease recovery angle and drape coefficient are polymerized again.
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