CN114398766A - Intelligent clothing design method and system - Google Patents
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Abstract
The invention discloses an intelligent clothing design method and system, wherein the method comprises the following steps: step S110, collecting data information to construct a mass information base; step S120, carrying out AI analysis processing based on the mass information base, designing a design product and storing the design product in a digital commodity base; s130, screening digital sample clothes from the designed products of the digital commodity library and making the digital sample clothes into finished products; step S140, obtaining sales data information of the finished product, performing correction design on the digital sample garment based on the sales data information, and repeating step S120. The invention can design a designed product which is suitable for market appeal, and is combined with links of manufacturing, selling and the like of the product, thereby greatly improving the running speed of the whole industrial chain and enabling the service design intelligence and the production process intelligence.
Description
Technical Field
The invention relates to the technical field of garment design, in particular to an intelligent garment design method and system.
Background
The garment has evolved to a stage where it has already been used to keep the covering warm today, and is now more of an expression of one's intrinsic spirit. The clothing industry has entered into a fierce competitive era, the inner wrap is very severe, the requirements of users on the quality of clothing are higher and higher, the profits of factories are thinner and thinner, the price is continuously lowered, and the labor cost is higher and higher. The current generation of users pursues individuation and differentiation, and does not pursue standardization any more. When buying a decision, the user puts the personalized features of the clothing commodity in front of factors such as price and practicability, and prefers clothing which is temperature, interesting and capable of displaying personal characters. The method also provides a new proposition for how to go with young people in the traditional clothing manufacturing industry, and the current market pain point of personalized customization is mainly reflected in that the traditional design and production mode has complex procedures, high cost and low efficiency and is not enough to meet the requirements of consumers of thousands of people and thousands of faces.
Therefore, how to make the consumption at the front edge and know the essential requirements of consumers is the coming fourth time of industrial revolution, in the era of artificial intelligence science and technology popularization, the changes of the whole industrial chain of the clothing industry are comprehensively promoted through technical innovation, and the intelligence of service design and the intelligence of the production process are technical problems which need to be solved urgently.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent clothing design method and system, which can design a design product suitable for market appeal, and can be combined with links of manufacturing, selling and the like of the product, so that the running speed of the whole industrial chain is greatly increased, and the service design and production process is intelligentized.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an intelligent clothing design method comprises the following steps:
step S110, collecting data information to construct a mass information base;
step S120, carrying out AI analysis processing based on the mass information base, designing a design product and storing the design product in a digital commodity base;
s130, screening digital sample clothes from the designed products of the digital commodity library and making the digital sample clothes into finished products;
step S140, obtaining sales data information of the finished product, performing correction design on the digital sample garment based on the sales data information, and repeating step S120.
Preferably, the step S110 further includes the steps of:
step S101, preprocessing the data information, and digitally classifying and labeling the preprocessed data information.
Preferably, the pre-treatment comprises washing and correlation.
Preferably, the data information comprises traditional internet e-commerce platforms, and/or offline store, and/or show data, and/or clothing information in social media.
Preferably, the mass information base comprises fabric, color, style, material, wearing, style, layout, process, dressing, key single product, gender proportion, region, consumption price, size and pattern information.
Preferably, in the step S310, the step of screening the digital sample clothes from the designed products of the digital commodity library specifically includes the following steps:
s131, performing three-dimensional processing on the basis of the design products in the digital commodity library to generate three-dimensional clothes;
step S132, combining the three-dimensional garment with the human body model to display a dynamic effect;
and S133, manually wearing AR/VR glasses to check the dynamic effect of the combined three-dimensional garment and the human body model, and screening to obtain the digital sample garment.
Preferably, before the finished product is made, the method further comprises the following steps:
step S231, carrying out arrangement statistics on the supply data of the suppliers;
and step S232, matching and displaying the digital sample clothes with the supply information of each supplier based on the clothing element information in the digital sample clothes.
Preferably, the clothing element information includes material content, stock preparation content and process information.
Preferably, the sales data of the finished product includes browsing, collecting, sharing, purchasing and user feedback data information of the finished product, and the purchasing data information includes order amount, retail amount, refund amount and stock amount.
Clothing intelligence design system includes: an acquisition module, an AI design module, a selection module and a revision module, wherein,
the acquisition module is used for acquiring data information to construct a massive information base;
the AI design module is used for carrying out AI analysis processing based on the mass information base, designing a design product and storing the design product into the digital commodity base;
the selection module is used for screening the digital sample clothes from the designed products of the digital commodity library and making the digital sample clothes into finished products;
and the revision module is used for carrying out revision design on the digital sample garment according to the sales data of the finished product and sending revision design information to the AI design module.
Based on the technical scheme, the invention has the beneficial effects that:
1) the invention is completely digitalized in the design and research links, directly purchases the auxiliary materials of the interface, connects links such as manufacturing scheduling and the like in parallel, and greatly improves the running speed of the whole industrial chain. For example, 10 designers can design 6 different works every day in the past, but now thousands or even tens of thousands of design drawings can be generated in a few minutes by means of a digital tool of an AI designer, so that primary designers are eliminated, only a small number of high-level designers are needed to select the design drawings, and then the design drawings are slightly modified, so that the productivity can be improved by thousands of times;
2) according to the invention, the VR/AR is directly adopted to check the 3D model upper body effect of the digital sample garment, so that different process effects can be reflected, a large amount of time for generating sample garment plate making is saved, a large amount of cost is saved, and the sample garment can be accurately manufactured;
3) the method and the system avoid a large number of manual roles, reduce a large number of communication costs, and avoid the problems of skill difference and unstable design capability of personnel.
Drawings
FIG. 1 is a flow diagram of a method for intelligent garment design in one embodiment;
fig. 2 is a schematic block diagram of a garment intelligent design system in one embodiment.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
As shown in fig. 1, the present embodiment provides a method for designing a garment intelligently, which includes the following steps:
and step S110, acquiring data information to construct a mass information base.
In this embodiment, first, data information is collected, where the data information includes: 1) the traditional Internet e-commerce platform comprises various e-commerce data such as brand official nets, Taobao, Jingdong, and Wei-Congress; 2) sales data for off-line stores; 3) show data, such as show, ordnance, brand album; 4) social media such as clothing information in microblogs, small red books, trembles, fast hands, INS.
Then, the data information is preprocessed (cleaned and associated), and the obtained clothing style is digitally classified and labeled. For example: the color is parameter A, the style (such as sweater and sweater) is parameter B, the shape of the collar is parameter C, the pattern is parameter D, the fabric is parameter E, and the like, and the clothes can be parameterized.
And finally, constructing a mass information base for AI analysis to provide a learning basis. The mass information base comprises data information such as styles, surface auxiliary materials, processes, plate types, colors, materials, wearing, styles, key single products, sex proportions, regions, consumption prices, sizes, patterns and the like, wherein the styles comprise clothes collars, sleeves, pockets, collar tabs, hanging tabs, shoulder tabs, waistbands, fine dried noodles, rolling strips, pressing strips, bag covers, seam allowance, lapel Sichuan, waist sections, swing seams, front shoulder sections, collar sections, front shoulder sections, back seams, back seam, back crotch doors, collar sockets, upper crotches, cross crotch, side seams, middle crotches, waist heads and crotch seams; the surface auxiliary materials comprise fabric, a zipper, a button, a mesh belt, a shoulder pad, a lace, lining cloth, a clothes hanger, a hang tag, an ornament, a filler strip, a scratch, a hook fastener, fur, a trademark, a thread rope, a filler, a plastic accessory and a metal accessory; the process comprises printing and dyeing, embroidering, ironing lining and wiring; the plate type comprises loose, tight, large shoulder drop, small shoulder drop and other data.
And step S120, carrying out AI analysis processing based on the mass information base, designing a design product and storing the design product in a digital commodity base.
In the embodiment, popular trend analysis and historical exploding amount and sales data summarization analysis are carried out through a big data algorithm based on a mass information base, and a design product is designed by combining analysis results of the popular trend analysis and the historical exploding amount and sales data summarization analysis, so that the research and development cost can be greatly reduced, the exploding amount can be found more quickly by the design product, the trend of consumers can be known more quickly, and changes in the clothing industry can be known. Wherein,
1) and (3) popular trend analysis: the system not only monitors the sales of the stores, but also captures the sales of the commodities on the whole network, timely knows various E-commerce data of brand official networks, treasure panning, Jingdong, and Wei-Hui of the competitive stores, knows and analyzes the preheating of the shelves of the competitive stores and the sales of new commodities in the commodity library in the last 7 days, and simultaneously knows the data of off-line stores, show places and fashion information in social media. The tendency of the explosion is analyzed and predicted through fashion information data, popular words of the titles of the commodities are extracted through a big data algorithm based on the sales volume, collection and other data of new products of the competitive store and pre-sold commodities, recent popular hotspots are visually presented in a word cloud form, and the style and the popular tendency of competitors are mastered in time. For example, understanding which elements on the internet are likely to be popular with the general public at present, may be designed in advance by "hot spots and fashion trends" of big data (say, such as the current metas, interplanetary space), etc., something that may become hot spots and fashion trends 48 hours or 176 hours into the future;
2) summarizing and analyzing historical money explosion and sales data: the commodities in the whole network are screened according to dimensions such as commodity types, shelf time, store types and sales data, data information of money explosion products on a traditional Internet e-commerce platform, data information of the money explosion products popular in INS, data information of the money explosion products in a show scene and the like in a specified period are obtained, money explosion rules are obtained through statistics, and then specific individuals are counted to find special money explosion.
Moreover, designers of companies can design manually firstly, because the designers of the companies have own styles, the designers of the companies can learn the design products digitally by AI, the AI can understand the design styles of the designers, and then the designers can be designed based on the analysis results of the popular trend analysis and the historical exploded sales data summarization analysis to perform stylized improved design.
And S130, screening the digital sample clothes from the designed products of the digital commodity library and manufacturing finished products.
In this embodiment, the supply data of the suppliers are sorted and counted in advance to generate a material content library, a stock preparation information library and a process information library. Before the finished product is manufactured, the digital sample garment is matched and displayed with the supply information of each supplier based on the material content, the stock preparation content and the process information in the digital sample garment, and the scientific management of the product design and manufacturing links is promoted by combining the product design and the product manufacturing links to assist purchasing and manufacturing.
Step S140, obtaining sales data information of the finished product, performing correction design on the digital sample garment based on the sales data information, and repeating step S120.
In this embodiment, sales data information of a finished product is acquired, and the digital sample garment is subjected to modification design based on the sales data information, so that the intelligent garment design and the sales links are combined to form a closed-loop system of full data of intelligent garment design, sales and manufacturing, and the operation speed of the whole industrial chain is increased. The sales data of the finished product comprises browsing, collecting, sharing, purchasing and user feedback data information of the finished product, and the purchasing data information comprises order amount, retail amount, refund amount and inventory amount.
The accumulation of mass data can provide assistance for designers to perform popular trend analysis and historical money explosion and sales data summarization analysis, design products are designed by combining analysis results of the popular trend analysis and the historical money explosion and sales data summarization analysis, AI analysis can be performed based on the collection and accumulation of the mass data, marketing and sales are served, product and consumption behavior analysis is performed, and a product group is helped to perform commodity marketing strategy adjustment and change according to market conditions.
In an embodiment, the method for intelligently designing the clothing further comprises the specific steps of screening the digital clothing from the design products in the digital commodity library:
s131, performing three-dimensional processing on the basis of the design products in the digital commodity library to generate three-dimensional clothes;
step S132, combining the three-dimensional garment with the human body model to display a dynamic effect;
and S133, manually wearing AR/VR glasses to check the dynamic effect of the combined three-dimensional garment and the human body model, and screening to obtain the digital sample garment.
In this embodiment, the senior audit designer can wear VR glasses, directly looks over the dynamic effect after three-dimensional clothing combines with the manikin, can embody different design effects. For example, the same design product can be embroidered, can be printed, can be shiny, can be dull-shinny, can be plain woven, can also have three-dimensional texture, the same design product has become different design effects through different technologies, do not need to invest in big cost, spend a large amount of time and produce physical appearance clothing. Can accurately realize the sample clothes preparation.
As shown in fig. 2, the present embodiment provides a garment intelligent design system 200, including: an acquisition module 210, an AI design module 220, a selection module 230, and a revision module 240, wherein,
the acquisition module 210 is used for acquiring data information to construct a massive information base;
the AI design module 220 is used for performing AI analysis processing based on the massive information base, designing a design product and storing the design product in the digital commodity base;
a selecting module 230 for screening the digital sample clothes from the designed products of the digital commodity library and making the digital sample clothes into finished products;
and the revising module 240 is configured to perform revised design on the digital sample garment according to the sales data of the finished product, and send the revised design information to the AI design module 220.
The above description is only a preferred embodiment of the intelligent garment design method and system disclosed in the present invention, and is not intended to limit the scope of protection of the embodiments of the present specification. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the embodiments of the present disclosure should be included in the protection scope of the embodiments of the present disclosure.
Claims (10)
1. An intelligent clothing design method is characterized by comprising the following steps:
step S110, collecting data information to construct a mass information base;
step S120, carrying out AI analysis processing based on the mass information base, designing a design product and storing the design product in a digital commodity base;
s130, screening digital sample clothes from the designed products of the digital commodity library and making the digital sample clothes into finished products;
step S140, obtaining sales data information of the finished product, performing correction design on the digital sample garment based on the sales data information, and repeating step S120.
2. The intelligent clothing design method according to claim 1, wherein the step S110 further comprises the following steps:
step S101, preprocessing the data information, and digitally classifying and labeling the preprocessed data information.
3. A garment intelligent design method according to claim 2, characterized in that the pre-treatment comprises washing and correlation.
4. A clothing intelligent design method according to claim 1 or 2, wherein the data information comprises traditional internet e-commerce platform, and/or offline store, and/or show data, and/or clothing information in social media.
5. The intelligent clothing design method according to claim 1, wherein the mass information base comprises data information of styles, supplementary materials, processes, styles, colors, materials, wearing styles, key items, gender proportions, regions, consumption prices, sizes and patterns.
6. The intelligent clothing design method according to claim 1, wherein in the step S130, the digital sample clothing is screened from the design products in the digital commodity library, and the method specifically comprises the following steps:
s131, performing three-dimensional processing on the basis of the design products in the digital commodity library to generate three-dimensional clothes;
step S132, combining the three-dimensional garment with the human body model to display a dynamic effect;
and S133, manually wearing AR/VR glasses to check the dynamic effect of the combined three-dimensional garment and the human body model, and screening to obtain the digital sample garment.
7. The intelligent clothing design method according to claim 1, wherein before the finished product is manufactured, the method further comprises the following steps:
step S231, carrying out arrangement statistics on the supply data of the suppliers;
and step S232, matching and displaying the digital sample clothes with the supply information of each supplier based on the clothing element information in the digital sample clothes.
8. The intelligent clothing design method of claim 7, wherein the clothing element information includes material content, stock content and process information.
9. The intelligent design method for clothes according to claim 1, wherein the sales data of the finished product comprises browsing, collecting, sharing, purchasing and user feedback data information of the finished product, and the purchasing data information comprises order amount, retail amount, refund amount and stock amount.
10. Clothing intelligence design system, its characterized in that includes: an acquisition module, an AI design module, a selection module and a revision module, wherein,
the acquisition module is used for acquiring data information to construct a massive information base;
the AI design module is used for carrying out AI analysis processing based on the mass information base, designing a design product and storing the design product into the digital commodity base;
the selection module is used for screening the digital sample clothes from the designed products of the digital commodity library and making the digital sample clothes into finished products;
and the revision module is used for carrying out revision design on the digital sample garment according to the sales data of the finished product and sending revision design information to the AI design module.
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| CN114997473A (en) * | 2022-05-16 | 2022-09-02 | 温州鞋革产业研究院 | Intelligent shoe admission prediction system and method based on big data |
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| CN114997473A (en) * | 2022-05-16 | 2022-09-02 | 温州鞋革产业研究院 | Intelligent shoe admission prediction system and method based on big data |
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