CN106617435A - Big data collecting and analyzing method applied to costume designing - Google Patents
Big data collecting and analyzing method applied to costume designing Download PDFInfo
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- CN106617435A CN106617435A CN201710040996.2A CN201710040996A CN106617435A CN 106617435 A CN106617435 A CN 106617435A CN 201710040996 A CN201710040996 A CN 201710040996A CN 106617435 A CN106617435 A CN 106617435A
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- 238000000034 method Methods 0.000 title abstract description 7
- 239000000853 adhesive Substances 0.000 claims abstract description 21
- 230000001070 adhesive effect Effects 0.000 claims abstract description 21
- 239000004744 fabric Substances 0.000 claims abstract description 18
- 238000005520 cutting process Methods 0.000 claims abstract description 10
- 238000011156 evaluation Methods 0.000 claims abstract description 5
- 238000004458 analytical method Methods 0.000 claims description 19
- 230000002093 peripheral effect Effects 0.000 claims description 11
- 210000000481 breast Anatomy 0.000 claims description 6
- 210000000038 chest Anatomy 0.000 claims description 5
- 210000000707 wrist Anatomy 0.000 claims description 4
- 239000003292 glue Substances 0.000 claims 1
- 239000002390 adhesive tape Substances 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 230000001681 protective effect Effects 0.000 abstract 2
- 238000004080 punching Methods 0.000 abstract 1
- 238000012986 modification Methods 0.000 description 7
- 230000004048 modification Effects 0.000 description 7
- 238000013461 design Methods 0.000 description 6
- 230000009471 action Effects 0.000 description 5
- 230000008901 benefit Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000003891 environmental analysis Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000003754 machining Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000003746 surface roughness Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41H—APPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR
- A41H3/00—Patterns for cutting-out; Methods of drafting or marking-out such patterns, e.g. on the cloth
- A41H3/06—Patterns on paper
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Textile Engineering (AREA)
- Details Of Garments (AREA)
- Corsets Or Brassieres (AREA)
Abstract
The invention discloses a big data collecting and analyzing method applied to costume designing. The method comprises the following steps: 1, collecting user data, and storing the collected user data into a database; 2, collecting the sizes of garments with different brands and of different verities, analyzing the user data through a cloud computing platform, and selecting the size of the garment with the brand and the variety obtaining the best evaluation on the fitness from the user among the bought garments as the standard size; 3, manufacturing a paper pattern by adopting the standard size determined in the step 2, wherein the contour line of the outer edge of the paper patter conforms to the corresponding size of the standard size, and a second contour line corresponding to a second standard size is further arranged inside the contour line of the outer edge of the paper patter, an adhesive the same as that of a common double faced adhesive tape is arranged on the back of the whole paper pattern, and protective paper is arranged on the adhesive; 4, punching a plurality of holes in the second contour line; and 5, tearing down the protective paper, adhering the needed paper pattern to cloth, and cutting the cloth along the needed contour line.
Description
Technical field
The present invention relates to dress designing tailoring technique field, and in particular to a kind of big data collection for being applied to dress designing
Analysis method.
Background technology
Big data is also called flood tide data or magnanimity information, refers to that involved data quantity is huge to cannot pass through
At present main software instrument, acquisition, management is reached within the reasonable time, is processed, and arrangement becomes help enterprise management decision-making
Information.That is, big data is exactly a scale of construction especially big, the classification especially very full data set of wide, information content.In the face of big number
According to the epoch, in structural adjustment and the rag trade of industrial upgrading critical period, how to go adjustment, how to the purchasing of raw materials, be related to
The resource and consumer demand of each industrial chain such as production, the marketing carries out depth integration, is worth whole garment enterprise circle to go
Thinking and action.
Application of the big data in garment enterprise can be attributed to nine aspects, push away including the product based on customer action
Recommend, based on the product design of client feedback, based on client like community marketing, based on the advertisement putting of data analysis, be based on
The fashion forecasting of community's focus, based on the price fixing of transaction analysis, based on the abnormal attrition prediction of client, based on environmental analysis
Problem development and the management of product based on Internet of Things data.Make a general survey of the application of this nine aspects, it is found that big data seems
Whole apparel industry chain is run through.
In prior art, application of the big data in terms of clothes shopping guide and the marketing is received simultaneously by Some Enterprises
And developed, but the application in dress designing cutting field is also considerably less.The operation that the design cutting of clothes is usually directed to
It is more complicated, generally comprise selection, plate-making, severing, the seam of designer's design clothes fashion, clothing color and fabric material
System, rear multiple production procedures such as whole, wherein plate-making includes that drawing, panel make, inner version makes, liner plate makes, set pattern version system again
Work, sample preparation clothing, standard mastering and push pedal make.
In plate-making process in the prior art, the pattern made is real usually in accordance with the big little makings of standard shape
Need to change pattern according to the different building shape of client during the cutting of border, so that the final clothes made meet client
Fit demand.Due to clothing making it is complicated, modification pattern be it is highly difficult, it is all higher to designer and labor claim.
Unmodified pattern generally includes several different standard shapes, the different chi of different standard shape correspondences
Code.Each different size corresponds to a range of measurement data, such as common garment size S, M, L, XL decile again
Not Dui Ying different range measurement data.But this size is often due to the difference of different manufacturer's samplings causes size not
Accurately, the S code clothes of such as company A are possible to also bigger than the M clothes of B company, and the client for wearing the S code clothes of company A exists
Can find and misfit during the M clothes for choosing B companies.
In addition, making after modification reference sheet in prior art, generally require to remake new pattern, by brand-new
The satisfactory pattern made does not carry out cutting with pin on cloth, and working (machining) efficiency is low.
The content of the invention
In order to overcome problems of the prior art, the present invention to provide a kind of big data collection for being applied to dress designing
Analysis method, the method not only takes full advantage of the detailed of relevant customer action, client feedback and client's hobby of big data offer
Total number evidence, and the difficulty of modification pattern is reduced, improve design cutting efficiency.
For achieving the above object, the big data capturing analysis method for being applied to dress designing of the present invention includes following
Step：
Firstth, user data is collected, described user data includes the age of user, and sex is overall high, cervical vertebra point height,
Back of the body length, crotch length is long under stock, trousers length, arm length, and the lower degree of breast, Qian Yaojie, sitting posture cervical vertebra point is high, shoulder across, chest breadth, across back, breast
Spacing, head circumference, neck circumference, bust, waistline, hip circumference, armpit encloses, and upper-arm circumference, wrist circumference, the palm encloses, the vertical line and horizontal line of the 7th vertebra
Neck oblique section angle and user's suggestion feedback whether fit to buying clothes；The user data collected is stored in into number
According in storehouse；
Secondth, the size of the clothes of different brands and different categories is collected, is analyzed in first step by cloud computing platform
The user data collected, chooses user to buying the size of the clothes of the fit degree evaluation highest brand and category of clothes
As standard size, the corresponding relation set up between user data and standard size；
3rd, the gauge code system determined using second step makees pattern, and the outer peripheral outline line of pattern meets the mark
The corresponding size of object staff code, is defined as the first standard size, in paper by the corresponding standard size of the outer peripheral outline line of pattern
The inside of the outer peripheral outline line of sample is additionally provided with the second outline line corresponding with the second standard size, and the second outline line meets
The corresponding size of second standard size, the second standard size is less than the first standard size；The back side of whole pattern be provided with it is general
Logical double faced adhesive tape identical adhesive, is additionally provided with protection sheet on adhesive；
4th, multiple holes are beaten on the second outline line, the plurality of hole allows users to the pattern for surrounding the second outline line
Take off from pattern corresponding with the first standard size together with the adhesive and protection sheet of correspondence profile；
5th, protection sheet of tearing, it would be desirable to pattern be pasted onto on cloth with the one side of adhesive, along the wheel for needing
Profile cutting cloth.
Preferably, it is additionally provided with one or more difference inside the outline line of the corresponding pattern of the second standard size
The outline line of the corresponding pattern of standard size.
Preferably, the various criterion size that the outline line inside of the corresponding pattern of the second standard size is arranged is respectively less than second
Standard size.
Preferably, the profile of the outline line of the corresponding pattern of various criterion size pattern corresponding with the first standard size
Line be arranged in parallel.
Preferably, the first standard size be XXXL, XXL, XL, L or S code in one, the second standard size be XXL, XL,
One in L, S or M code, the second standard size is less than the first standard size.
It is further preferred that multiple medians are additionally provided between two adjacent different standard sizes, in each
Between value correspondence one pattern outline line, multiple holes are equipped with the corresponding pattern outline line of each median, using the plurality of hole
The corresponding pattern of different medians is separated.
It is further preferred that the outline line pattern corresponding with the first standard size of the corresponding pattern of difference median
Outline line be arranged in parallel.
It is further preferred that setting every the interval of 1 centimetre of integral multiple between two adjacent different standard sizes
Put a median.
It is further preferred that the concrete outcome analyzed according to big data of the concrete numerical value of integral multiple is determining.
It is further preferred that between two adjacent different standard sizes in 1 centimetre of interval setting one
Between be worth.
The invention has the advantages that：The big data capturing analysis method for being applied to dress designing of the present invention with it is existing
There is technology to compare, the detailed number of the relevant customer action, client feedback and client's hobby of big data offer is not only provided
According to, and the difficulty for changing pattern is reduced, improve design cutting efficiency.
Description of the drawings
Fig. 1 is the overall structure diagram of pattern of the present invention.
Specific embodiment
Following examples are used to illustrate the present invention, but are not limited to the scope of the present invention.
The big data capturing analysis method for being applied to dress designing of the present invention is comprised the following steps：
Firstth, user data is collected, described user data includes the age of user, and sex is overall high, cervical vertebra point height,
Back of the body length, crotch length is long under stock, trousers length, arm length, and the lower degree of breast, Qian Yaojie, sitting posture cervical vertebra point is high, shoulder across, chest breadth, across back, breast
Spacing, head circumference, neck circumference, bust, waistline, hip circumference, armpit encloses, and upper-arm circumference, wrist circumference, the palm encloses, the vertical line and horizontal line of the 7th vertebra
Neck oblique section angle and user's suggestion feedback whether fit to buying clothes；The user data collected is stored in into number
According in storehouse；
Secondth, the size of the clothes of different brands and different categories is collected, is analyzed in first step by cloud computing platform
The user data collected, chooses user to buying the size of the clothes of the fit degree evaluation highest brand and category of clothes
As standard size, the corresponding relation set up between user data and standard size；
3rd, the gauge code system determined using second step makees pattern, and the outer peripheral outline line of pattern meets the mark
The corresponding size of object staff code, is defined as the first standard size, in paper by the corresponding standard size of the outer peripheral outline line of pattern
The inside of the outer peripheral outline line of sample is additionally provided with the second outline line corresponding with the second standard size, and the second outline line meets
The corresponding size of second standard size, the second standard size is less than the first standard size；The back side of whole pattern be provided with it is general
Logical double faced adhesive tape identical adhesive, is additionally provided with protection sheet on adhesive；
4th, multiple holes are beaten on the second outline line, the plurality of hole allows users to the pattern for surrounding the second outline line
Take off from pattern corresponding with the first standard size together with the adhesive and protection sheet of correspondence profile；
5th, protection sheet of tearing, it would be desirable to pattern be pasted onto on cloth with the one side of adhesive, along the wheel for needing
Profile cutting cloth.
Fig. 1 shows a preferred embodiment of pattern in the present invention.As shown in figure 1, being received by cloud computing platform analysis
The user data for collecting, chooses user and the size for buying the clothes of the fit degree evaluation highest brand and category of clothes is made
For standard size (such as the M codes and S codes of A brands B category is used as standard size), set up between user data and standard size
Corresponding relation；Pattern is made according to the corresponding size of the M codes of A brand B categories, the outer peripheral outline line of pattern meets A brands B
The corresponding size of M codes of category, this is that the M codes of A brand B categories are defined as into the first standard size in embodiment.
S codes (i.e. the second gauge with A brand B categories is additionally provided with the inside of the outer peripheral outline line of M code patterns
Code) corresponding second outline line, the second outline line meets the corresponding size of S codes, and the second standard size is less than the first standard size；
The back side of whole pattern is provided with and common double faced adhesive tape identical adhesive, and protection sheet is additionally provided with adhesive.
Multiple holes are beaten on corresponding second outline line of S codes, the plurality of hole allows users to surround the second outline line
Pattern is taken off together with the adhesive and protection sheet of correspondence profile from pattern corresponding with the first standard size.
When using M code patterns, directly the protection sheet at the whole pattern back side is torn, by M codes pattern with bonding
The one side of agent is pasted onto on cloth, along the profile line clipping cloth for needing.
When need use S code patterns when, along the multiple holes on the second outline line by S codes pattern from M code patterns
Take off, then the protection sheet at the S code patterns back side is torn, one side of the S codes pattern with adhesive is pasted onto on cloth, edge
The profile line clipping cloth for needing.
Although in the embodiment shown in Fig. 1, in order to describe clearly purpose, being only provided with S codes and M code two such chis
Code, but for the technical staff of ordinary skill knowledge is familiar with, the number of size is not limited to two.Completely may be used
Using more than two size, such as the multiple sizes of XXXL, XXL, XL, L, S, M etc. can be integrated in into same pattern
On, multiple holes are equipped with the line of demarcation between different sizes on pattern, the pattern of different sizes is separated using the plurality of hole.
Because the present invention is when pattern is made, relevant customer action, the client for taking full advantage of big data offer is anti-
Feedback and the detailed data of client's hobby, it is inaccurate to eliminate the size caused due to the difference that different manufacturer samples, maximum journey
Ensure that the degree of accuracy of size degree.Simultaneously because with being integrated with multiple different sizes on a pattern,
Further, since being provided with adhesive at the pattern back side, it is only necessary to which adhesive is directly fitted on cloth, save
But pin is needed to fix the trouble of pattern in prior art.And due to the factors such as design on fabric surface roughness, the pattern back side
Adhesive cause pattern be very easy to separate with cloth, cloth will not in itself be had any impact.
Preferably, the profile of the outline line of the corresponding pattern of various criterion size pattern corresponding with the first standard size
Line be arranged in parallel.
Preferably, the first standard size be XXXL, XXL, XL, L or S code in one, the second standard size be XXL, XL,
One in L, S or M code, the second standard size is less than the first standard size.
First standard size and the second standard size might not be tightly adjacent in size, if such as the first gauge
Code is XXXL, and the second standard size might not be arranged to XXL, and can be by the second standard size be arranged to XXL,
Any one in XL, L, S or M code.
It is further preferred that multiple medians are additionally provided between two adjacent different standard sizes, in each
Between value correspondence one pattern outline line, multiple holes are equipped with the corresponding pattern outline line of each median, using the plurality of hole
The corresponding pattern of different medians is separated.
Special in view of the stature of some people, such as somebody wears S code tensions, but wears M codes and excessive, in order to meet this
The demand of user is planted, way of the prior art needs to change pattern according to the different building shape of client, but due to clothing making
Complexity, modification pattern be it is highly difficult, it is all higher to designer and labor claim.
The present invention is provided with different medians due to being provided between two adjacent different standard sizes, for example, exist
S codes are further with the middle of M codes to arrange 5 different medians, and is equipped with the corresponding pattern outline line of different medians many
Individual hole so that the modification of pattern becomes simple thing, it is only necessary to choose the corresponding pattern of suitable median.
It is further preferred that the outline line pattern corresponding with the first standard size of the corresponding pattern of difference median
Outline line be arranged in parallel.
It is further preferred that setting every the interval of 1 centimetre of integral multiple between two adjacent different standard sizes
Put a median.
For example, in the middle of the S codes and M codes shown in Fig. 1, every 2 centimetres or 3 centimetres one median of interval setting, this
In 2 centimetres or 3 centimetres of interval refer to the straight line of the corresponding point on the corresponding outline line of S codes and the corresponding outline line of M codes
Distance.Due to the outline line of the corresponding outline line of S codes and the corresponding outline line of M codes and the corresponding pattern of different medians it is parallel
Arrange, only the corresponding outline line of S codes need to be moved in parallel 2 centimetres or 3 centimetres and equal proportion amplification towards the corresponding outline line of M codes
The outline line of the corresponding pattern of median is obtained.
It is further preferred that the concrete outcome analyzed according to big data of the concrete numerical value of integral multiple is determining.
For example, although the result of big data analysis shows that user is commented the fit degree of the clothes of the M codes of A brand B categories
Valency highest, but still can further analyze the unsatisfied client of fit degree of the clothes of the M codes to A brand B categories
Concrete distribution situation, such as age is unsatisfied to the fit degree of the clothes of the M codes of A brand B categories in the user of 40-50 year
Degree is very high, further collects the overall high of the unsatisfied user in this part, and cervical vertebra point is high, and back of the body length, crotch length is long under stock,
Trousers length, arm length, the lower degree of breast, Qian Yaojie, sitting posture cervical vertebra point is high, shoulder across, chest breadth, across back, and colpus is away from, head circumference, neck circumference, chest
Enclose, waistline, hip circumference, armpit encloses, upper-arm circumference, wrist circumference, the palm encloses, the vertical line of the 7th vertebra and horizontal neck oblique section angle etc.
Data, determine the relation between the data of the user and the correspondingly-sized of M codes, and the correspondingly-sized of M codes zoomed in and out accordingly,
So that it is determined that several centimetres or several centimetres of diminution should be increased in the correspondingly-sized of M codes.
It is further preferred that between two adjacent different standard sizes in 1 centimetre of interval setting one
Between be worth.
Result and long-term dress designing empirical discovery according to big data analysis, every 1 centimetre of interval setting one
Median has covered enough basic demand of most of different user stature to clothes, and most of client can be allowed all to feel
The apparel size bought meets fit requirement.
Although the present invention is described in detail above to have used general explanation and specific embodiment, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
Without departing from theon the basis of the spirit of the present invention these modifications or improvements, belong to the scope of protection of present invention.
Claims (10)
1. a kind of big data capturing analysis method for being applied to dress designing, it is characterised in that described to be applied to dress designing
Big data capturing analysis method is comprised the following steps：
Firstth, user data is collected, described user data includes the age of user, and sex is overall high, cervical vertebra point height, back of the body length,
Crotch length, long under stock, trousers length, arm length, the lower degree of breast, Qian Yaojie, sitting posture cervical vertebra point is high, shoulder across, chest breadth, across back, colpus away from,
Head circumference, neck circumference, bust, waistline, hip circumference, armpit encloses, and upper-arm circumference, wrist circumference, the palm encloses, vertical line and the horizontal neck of the 7th vertebra
The oblique section angle and user suggestion feedback whether fit to buying clothes；The user data collected is stored in into database
In；
Secondth, the size of the clothes of different brands and different categories is collected, is analyzed in first step by cloud computing platform and is collected
The user data for arriving, chooses user to buying the size conduct of the clothes of the fit degree evaluation highest brand and category of clothes
Standard size, the corresponding relation set up between user data and standard size；
3rd, the gauge code system determined using second step makees pattern, and the outer peripheral outline line of pattern meets the gauge
The corresponding size of code, is defined as the first standard size, in pattern by the corresponding standard size of the outer peripheral outline line of pattern
The inside of outer peripheral outline line is additionally provided with the second outline line corresponding with the second standard size, and the second outline line meets second
The corresponding size of standard size, the second standard size is less than the first standard size；The back side of whole pattern is provided with and common double
Face glue identical adhesive, is additionally provided with protection sheet on adhesive；
4th, beat multiple holes on the second outline line, the plurality of hole allow users to the pattern that surrounds the second outline line together with
The adhesive and protection sheet of correspondence profile is taken off together from pattern corresponding with the first standard size；
5th, protection sheet of tearing, it would be desirable to pattern be pasted onto on cloth with the one side of adhesive, along the outline line for needing
Cutting cloth.
2. the big data capturing analysis method of dress designing is applied to as claimed in claim 1, it is characterised in that the second standard
The wheel of the corresponding pattern of one or more various criterion size is additionally provided with inside the outline line of the corresponding pattern of size
Profile.
3. the big data capturing analysis method of dress designing is applied to as claimed in claim 2, it is characterised in that the second standard
The various criterion size that the outline line inside of the corresponding pattern of size is arranged is respectively less than the second standard size.
4. the big data capturing analysis method of dress designing is applied to as claimed in claim 2, it is characterised in that various criterion
The outline line of the outline line of the corresponding pattern of size pattern corresponding with the first standard size be arranged in parallel.
5. the big data capturing analysis method of dress designing is applied to as claimed in claim 4, it is characterised in that the first standard
Size is in XXXL, XXL, XL, L or S code, and the second standard size is in XXL, XL, L, S or M code, and second marks
Object staff code is less than the first standard size.
6. the big data capturing analysis method for being applied to dress designing as described in any one of claim 1-5, it is characterised in that
Multiple medians are additionally provided between two adjacent different standard sizes, each median one pattern profile of correspondence
Line, on the corresponding pattern outline line of each median multiple holes are equipped with, using the plurality of hole by the corresponding paper of different medians
Sample is separated.
7. the big data capturing analysis method of dress designing is applied to as claimed in claim 6, it is characterised in that in the middle of different
The outline line for being worth the outline line pattern corresponding with the first standard size of corresponding pattern be arranged in parallel.
8. the big data capturing analysis method of dress designing is applied to as claimed in claim 7, it is characterised in that adjacent
Every one median of interval setting of 1 centimetre of integral multiple between two different standard sizes.
9. the big data capturing analysis method of dress designing is applied to as claimed in claim 8, it is characterised in that integral multiple
The concrete outcome that concrete numerical value is analyzed according to big data is determining.
10. the big data capturing analysis method of dress designing is applied to as claimed in claim 9, it is characterised in that adjacent
Two different standard sizes between every 1 centimetre one median of interval setting.
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| CN201710040996.2A CN106617435B (en) | 2017-01-20 | 2017-01-20 | A kind of big data capturing analysis method applied to dress designing |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109419084A (en) * | 2017-08-24 | 2019-03-05 | 南京麒麟科学仪器集团有限公司 | A kind of dress designing collecting method |
| CN109700108A (en) * | 2019-01-24 | 2019-05-03 | 广东岭南职业技术学院 | Version brown paper Scissoring device is beaten in a kind of design of apparel art |
| CN110555411A (en) * | 2019-09-05 | 2019-12-10 | 武汉纺织大学 | Method and system for measuring size of shoulder and neck, storage medium and electronic equipment |
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