KR20220083373A - Fashion goods design and advertisement generation system and method according to fashion trends and advertisement feedback - Google Patents

Abstract

Disclosed are a method and system for designing fashion products and generating advertisements according to fashion trends and advertisement feedback. The present invention provides a first DB for storing SNS mention frequency for each type of fashion product, a second DB for storing sales volume information for each type of fashion product, a third DB for storing information on design feature points of each type of fashion product, A fourth DB for storing advertisement feedback information for each type of fashion product, a correlation analysis unit that analyzes and presents a sales correlation for each type of fashion product based on information of the first to fourth DBs, the sales Based on the correlation, the design generating unit extracts the design feature points corresponding to the fashion products for which the sales exceed a certain level, and generates a fashion product design based on the extracted design feature points, based on the fashion product design It may include an advertisement generating unit for acquiring advertisement data, and a display unit for displaying the fashion product design and the advertisement data.

Description

FASHION GOODS DESIGN AND ADVERTISEMENT GENERATION SYSTEM AND METHOD ACCORDING TO FASHION TRENDS AND ADVERTISEMENT FEEDBACK

The present invention relates to a fashion product design and advertisement generation system according to fashion trends and advertisement feedback. In more detail, by extracting design feature points according to advertisement feedback information and sales correlation, a fashion product design is generated based on this, an advertisement is generated according to the generated fashion product design, and feedback is received, and the received feedback is recalled. A system and method for designing a fashion product and generating an advertisement according to a fashion trend and advertisement feedback using advertisement feedback information.

Information on the current fashion in the conventional fashion industry was mainly provided through newspapers, periodicals, video media, and the like. However, due to the weakness of the domestic fashion information industry, the quality of the information provided cannot be considered high, and the source of income is greater from other aspects, such as advertising revenue, rather than directly from information provision. It was determined and influenced by external environmental factors such as advertisers. The backwardness of the fashion information industry had many difficulties in satisfying customers' desire for fashion. As a result, the fashion industry was unable to collect information on the circumstances requested by customers, so customers who change only with their own subjective experiences or information. tried to satisfy the needs of However, the pace of change in fashion trends is very rapid. In particular, as global spa brands were created and SNS became more active, the speed of change of fashion became faster, and trendy items tended to converge to the same design worldwide.

Accordingly, in order to keep pace with the rapid change of fashion and supply according to global design, designers need to collect repetitive data and quickly assist in design work, and fashion MDs need to collect and analyze the latest trends and emerging brand information. In addition, designers must research the rapidly changing fashion trends and design accordingly. However, in urgent cases, it is necessary to make 3 designs within 7 days, but in fact, it was only possible to complete a new design by drawing 200-300 sets.

In addition, in the case of a fashion MD, it costs a lot to update fashion trends and create new designs, such as visiting collections to research trends and brands, and making order lists and lookbooks in major fashion cities such as New York/Paris, The effort was time consuming and inefficient. In addition, although tools such as computers are currently used to create new designs and screens, human manual labor is inevitable.

Accordingly, attempts to identify trends through big data analysis using a large number of product information that form big data and automatically create designs according to the identified trends are increasing.

Republic of Korea Patent Publication No. 10-2014-0056085

SUMMARY OF THE INVENTION It is an object of the present invention to propose a system and method for designing fashion products and generating advertisements according to fashion trends and advertisement feedback for solving the above-described problems.

It is also an object of the present invention to propose a system and method for creating a fashion product design and advertisement according to a fashion trend and advertisement feedback to follow a rapid change of a fashion trend by rapidly generating a fashion product design on a more uniform basis.

Another object of the present invention is to propose a system and method for designing fashion products and generating advertisements according to fashion trends and advertisement feedback, which can more actively and specifically reflect users' preferences by considering advertisement feedback information together.

In addition, it is an object of the present invention to design fashion products according to fashion trends and advertisement feedback that can provide fashion products suitable for each season by forming a layer using the composition on fashion products for summer, fashion products for winter, and fashion products for all seasons; To propose an advertisement generating system and method.

In order to solve the above problems, the present invention provides a first DB for storing SNS mention frequency for each type of fashion product, a second DB for storing sales volume information for each type of fashion product, and a design feature of the fashion product for each type. A third DB for storing information, a fourth DB for storing advertisement feedback information for each type of fashion product, and the information of the first DB to the fourth DB, analyze and present correlations in sales for each type of fashion product a correlation analysis unit that extracts the design feature points corresponding to the fashion products for which the sales exceed a certain level based on the sales correlation, and a design generation unit that generates a fashion product design based on the extracted design feature points , an advertisement generating unit for obtaining advertisement data based on the fashion product design, and a display unit displaying the fashion product design and the advertisement data.

The method may further include a feedback receiver configured to receive user feedback on the advertisement data, wherein the advertisement feedback information may include information on the user feedback.

In addition, the design feature point may include at least one of a type of the fashion product, a color of the fashion product, a pattern of the fashion product, an aspect ratio of a body of the fashion product, and a ratio of a vertical length between an arm and a body of the fashion product. may include

Also, the design generating unit may generate the fashion product design based on the extracted design feature points and keyword information input by the user.

In addition, the fashion products for each type include fashion products for summer, fashion products for winter, and fashion products for all seasons, and the fashion products for summer may be made of a fabric containing an antibacterial composition.

In addition, the fashion products for each type include fashion products for summer, fashion products for winter, and fashion products for all seasons, and the fashion products for winter may be made of a fabric including an antistatic composition.

In addition, the fashion products for each type include fashion products for summer, fashion products for winter, and fashion products for all seasons, and the fashion products for all seasons may be made of a fabric including an antibacterial composition and an antistatic composition.

In addition, in order to solve the above-mentioned problems, the present invention provides the steps of obtaining SNS mention frequency information for each type of fashion product, obtaining information on sales volume for each type of fashion product, and information on design features of each type of fashion product. acquiring, acquiring advertising feedback information for each type of fashion product, acquiring a sales correlation for each type of fashion product based on the information, and determining that the sales are at a certain level based on the sales correlation extracting the design feature points corresponding to a fashion product exceeding a certain level, generating a fashion product design based on the design feature point corresponding to a fashion product for which the sales exceed a certain level, advertising data based on the fashion product design It may include acquiring and transmitting the fashion product design and the advertisement data to a display unit.

The method may further include receiving user feedback on the advertisement data, wherein the advertisement feedback information may include information on the user feedback on the advertisement.

In addition, in order to solve the above problems, the present invention provides a non-transitory computer-readable medium for storing instructions, which, when executed by a processor, causes the processor to perform the above-described method. It may be a possible medium.

The present invention has the effect of more rapidly creating a fashion product design through a method of combining design feature points with a basic fashion product design.

In addition, the present invention has the effect of being able to follow the fashion design trend while utilizing the existing fashion product production line as it is through the method of combining the design feature points with the basic fashion product design.

In addition, the present invention has an effect of being able to follow a fashion design trend while reflecting more active feedback from users by generating a design in consideration of advertisement feedback information.

In addition, the present invention has the effect of creating a fashion product design that consumers can wear more comfortably while quickly following a fashion design trend by proposing an additional layer to the fabric according to the seasonal fashion product.

The effects obtainable according to the present invention are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be.

1 is a view showing a fashion product design and advertisement generation system according to a fashion trend and advertisement feedback according to the present invention.
2 to 4 are diagrams illustrating examples of generating a fashion product design for summer clothing.
5 to 7 are diagrams illustrating examples of generating a fashion product design for winter clothing.
8 is a diagram illustrating a fashion product design and advertisement generation method according to a fashion trend and advertisement feedback according to the present invention.
BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included as a part of the detailed description to facilitate the understanding of the present invention, provide embodiments of the present invention, and together with the detailed description, explain the technical features of the present invention.

Hereinafter, the embodiments disclosed in the present invention will be described in detail with reference to the accompanying drawings, but the same or similar components are assigned the same reference numbers regardless of reference numerals, and redundant description thereof will be omitted.

In addition, in describing the embodiments disclosed in the present invention, if it is determined that detailed descriptions of related known technologies may obscure the gist of the embodiments disclosed in the present invention, the detailed description thereof will be omitted.

In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in the present invention, and the technical spirit disclosed in the present invention is not limited by the accompanying drawings, and all changes included in the spirit and scope of the present invention , should be understood to include equivalents or substitutes.

Fashion goods referred to in the present invention refer to specific items that satisfy consumers' desire for fashion, and are defined as including clothing, shoes, sunglasses, belts, ties, gloves and other fashion miscellaneous goods.

Terms including an ordinal number such as 1st, 2nd, etc. may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

The singular expression includes the plural expression unless the context clearly dictates otherwise.

In the present application, terms such as “comprises” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Hereinafter, a system for designing a fashion product and generating an advertisement according to a fashion trend and advertisement feedback according to a preferred embodiment of the present invention will be described in detail based on the above-mentioned contents.

In addition, one embodiment of the present invention to be described below has been described with a focus on clothing, but this is only an example of a fashion product, and it will be said that it does not limit the scope of the present invention.

1 is a view showing a fashion product design and advertisement generation system according to a fashion trend and advertisement feedback according to the present invention.

1 , the present invention may include a DB 110 , a server 120 , a user input unit 130 , and a display unit 140 . The DB 110 according to the present invention may include a first DB 111 , a second DB 112 , a third DB 113 , and a fourth DB 114 .

As shown in FIG. 1 , the DB 110 may have a configuration installed separately from the server, but unlike FIG. 1 , the DB 110 may have a configuration included in the server.

The first DB 111 may store the frequency of mentioning SNS for each type of clothing. The social network service (SNS) mention frequency may be obtained through web crawling. The SNS mention frequency may mean the number of times the product is mentioned on a specific SNS during a predetermined period. For example, the product name may be mentioned on a specific SNS through a hash tag or the like, or the number of times that the image of the product is posted on a specific SNS may be the SNS mention frequency.

Specifically, for a period of 3 months from the time of web crawling on Instagram, a famous SNS, the server may collect information about the product name or the corresponding product image. The server may obtain information about the frequency of mentioning SNS by counting the number of times of collected information.

The second DB 112 may store sales volume information for each type of clothing. The sales volume information may mean sales volume of each type of clothing during a predetermined period. Sales volume information may correspond to sales information.

The third DB 113 may store information on design feature points for each type of clothing. The design feature point may mean a design feature through which people can feel an aesthetic sense of clothing. Since the design feature points may differ depending on the type of clothing, the design feature point may be predetermined according to the type of clothing. The design feature points may include at least one of a type of clothing, a color of the clothing, a pattern of the clothing, an aspect ratio of the body of the clothing, a ratio of a length between the arm and the body of the clothing, and an image expressed on the clothing.

The fourth DB 114 may store advertisement feedback information for each type of clothing. When the advertisement screen is randomly exposed to the user according to the type of clothing, the user can access the web page according to the advertisement by touching or clicking the advertisement screen. In this case, the advertisement feedback information may include a percentage value multiplied by 100 with “frequency of advertisement exposure to users” as a denominator and “number of times a user accesses a web page through advertisement” as a numerator.

Referring to FIG. 1 , the server may include a correlation analyzer 121 , a design generator 122 , an advertisement generator 123 , and a feedback receiver 124 .

The correlation analysis unit 121 may analyze and present a sales correlation for each type of clothing based on the information of the first DB 111 to the fourth DB 114 . The sales correlation may be obtained based on a commonality of products with high sales volume or sales. Sales correlation may be calculated by comparing sales volume information based on SNS mention frequency, design feature points, and advertisement feedback information.

The design generating unit 122 may extract design feature points corresponding to clothes whose sales exceed a certain level based on the sales correlation, and generate a fashion product design based on the extracted design feature points. The design analysis unit may generate the fashion product design by combining the extracted design feature points with the previously stored fashion product design.

The advertisement generating unit 123 may acquire advertisement data based on the generated fashion product design. The advertisement data may include advertisements related to the type of clothing corresponding to the generated fashion product design. The advertisement data may be transmitted to the display unit 140 to configure the advertisement screen. That is, the advertisement generating unit 123 may generate an advertisement for the type of clothing corresponding to the generated fashion product design, and transmit it to the display unit 140 .

The display unit 140 may display the generated fashion product design. Also, the display unit 140 may receive advertisement data and display it as an advertisement screen. Also, the display unit 140 may display the generated fashion product design and advertisement data.

The feedback receiver 124 may receive user feedback corresponding to the advertisement data. The feedback receiving unit 124 may receive the user's feedback input through the user input unit 130 . User feedback may mean that the user accesses a web page for the advertisement by touching or clicking the advertisement screen. That is, the user feedback may mean a user's response or feedback to an advertisement. Accordingly, the advertisement feedback information may include user feedback information on the generated advertisement.

Also, the design generating unit 122 may further consider keyword information input by the user in generating the fashion product design. In this case, the keyword information may be a keyword for a feature point overlapping the extracted design feature point. Conversely, the keyword information may be a keyword for a feature point that does not overlap with the extracted design feature point.

For example, when the extracted design feature points are patterns (or patterns) appearing on clothes, the keyword information may include keywords for colors of clothes. The design generating unit 122 may create a new fashion product design by combining the color included in the keyword information with the pattern (or pattern), which is the extracted design feature point, with the pre-stored fashion product design.

For example, when the extracted design feature point is the color (white) of the clothing, the keyword information may include a keyword for the color (red) of the clothing. When the extracted design feature points and keyword information overlap, the design generator 122 may generate a fashion product design according to the keyword information. That is, the design generating unit 122 may generate a fashion product design using red included in the keyword information input by the user among white and red. That is, the design generating unit 122 may generate a new fashion product design by combining red with the previously stored fashion product design.

In addition, the above-described clothing for each type may include clothing for summer, clothing for winter, and clothing for all seasons. The summer clothing may be clothing according to a predetermined item, and the summer clothing is preferably made of a fabric containing an antibacterial composition.

Preferably, the summer clothing may include the following antibacterial composition. Since summer clothing is thin and likely to come in direct contact with the user's skin, it is desirable to use natural extracts.

The antibacterial composition may be selected from the group consisting of thyme extract, dermis extract, green tea extract, banana peel extract, and mixtures thereof. Preferably, it may include a mixed extract of the thyme extract, the dermis extract, the green tea extract and the banana peel extract as an active ingredient.

The persimmon tree (Diospyros kaki Thunb) is mainly distributed in the central and southern regions of Korea, and in addition to the reproductive Shija, the leaves, Shihwa, and corpses have been used as folk remedies since ancient times. Among them, thyme is mainly used as a tea, and it is recorded that it is effective for purpura (vascular inflammation) as well as prevention and treatment of vascular diseases in Dongdong Bogam. Thyme contains various substances such as vitamin C, amino acids, nucleic acids, phenolic compounds, and free sugar. As flavonoids of thyme, glycoside forms such as astragalin, a glycoside of kaempferol, and myricitrin, isoquercitrin, a glycoside of myricetin, a glycoside of myricetin exist. Thyme (thyme) has a total phenolic compound content of 0.1 to 5.8%, which is higher than that of other plants, and has excellent antioxidant and antibacterial properties, and is known to be involved in superoxide dismutase (SOD) activity. In addition, pharmacological effects have been verified for maintaining skin elasticity and preventing colds and adult diseases, and it strongly suggests the possibility that various substances can affect human physiological mechanisms. Phenolic compounds are reported to be effective in not only antioxidant functions but also antibacterial, anti-allergic, caries prevention, heart disease and diabetes prevention, and include flavonoids, phenolic acid, phenyl propanoid, and quinones.

Citri Pericarpium is the dried rind of the mature fruit of Citrus unshiu Markovich, an evergreen small arboreous tree belonging to the rutaceae family. According to the Korean Pharmacopoeia, the content of hesperidin, a major flavonoid component, is known to be more than 4%, and in addition, naringin and neohesperidin are included. It is used for gastritis, indigestion, etc. as an aromatic dry placebo, and is used as an antitussive, antitussive, and expectorant.

Hamcho grows in groups on the seashore, mudflats, and salt fields of island regions such as the west coast, southern coast of Korea, Jeju-do, Ulleungdo, and Baengnyeong-do. In Korean, it is called tung-tung-se because it is lumpy and protruding from every joint. In the ancient Chinese medical book, Shennongchobongyeong, it was called green tea (鹹草) and salt vinegar (鹽草) because it tasted very salty. It has been known since the Zhou Dynasty of China 3,000 years ago that green tea has excellent efficacy as a health food. There is a record in the Jurye (周禮) that the king of the Zhou dynasty offered green tea to the heavens and held a ancestral rite. In Kaibara's <Daehwaboncho>, which is called Japan's Uiseong, it is written that green tea is a precious herb that makes it immortal. The general components of green tea are mainly carbohydrates, ash, crude protein, and crude fat, and salt accounts for 13.5% of the ash by weight. In addition, green tea contains various minerals. It is known that 100 g of green tea contains 670 mg of calcium, 70 mg of iodine, and 6.5% of sodium, 16% of salt, and 50% of vegetable fiber.

Banana is a perennial herb originating from tropical and subtropical Asia. In Taiwan, bananas are mainly planted in Kaohsiung, Tainan, Pingtung and Taitung. Generally, the edible part of a banana is the flesh part and the peel is discarded.

The preparation of the natural extract comprises the steps of pulverizing a natural product; leaching the pulverized product using a solvent; drying the sample after leaching; re-leaching the dried sample using a solvent; drying the sample after leaching; leaching with water; And including the step of leaching, it is possible to obtain a natural extract.

The method may further include performing fractionation of the natural extract extracted using the solvent using a solvent.

The method for preparing the extract may be a conventional extraction method in the art, such as an ultrasonic extraction method, a leaching method, and a reflux extraction method. Specifically, it may be an extract obtained by extracting a natural product from which foreign substances have been removed by washing and drying with water, an alcohol having 1 to 6 carbon atoms, or a mixed solvent thereof, or may be an extract extracted by sequentially applying the solvents to the sample.

The extraction solvent may be used in an amount of 2 to 50 times, more specifically, 2 to 20 times, based on the weight of the sample. For extraction, the sample may be left for 1 to 72 hours for leaching in the extraction solvent, and more specifically, for 24 to 48 hours.

After extraction, the extract may be fractionated by sequentially applying a fresh fractionation solvent. The fractionation solvent used for fractionation may be selected from the group consisting of water, hexane, butanol, ethyl acetic acid, ethyl acetate, methylene chloride, and mixtures thereof.

After obtaining the extract or fraction, a method such as concentration or freeze-drying may be additionally used.

Preferably, the thyme extract, dermis extract, green tea extract and banana peel extract may be thyme hot water extract, dermal hot water extract, green tea hot water extract, and banana peel hot water extract.

It is intended to prevent the possibility of skin irritation due to the natural extract using the organic solvent by using water as an extraction solvent without using an organic solvent such as alcohol, which is typically used in the preparation of natural extracts.

Preferably, the antibacterial composition may include, based on 100 parts by weight of the thyme extract, 50 to 100 parts by weight of the dermis extract, 10 to 20 parts by weight of the seaweed extract, and 10 to 20 parts by weight of the banana peel extract. When used within the above mixing range, in addition to the antibacterial effect, it is possible to exhibit an excellent odor removal effect on sweat odor, body odor, and the like.

More preferably, the antibacterial composition is to form an antibacterial layer by mixing the powdered thyme extract, dermis extract, green tea extract and banana peel extract with water as a solvent, spraying it on an antibacterial pad in a spraying manner, and drying it. can

The method of forming the antibacterial layer is not limited to the spray spray method, and a person skilled in the art selects a method of forming the antibacterial layer using the antibacterial composition, and can be used without limitation.

[Production Example 1]

Preparation of antibacterial compositions

(1) Preparation of natural extracts

의 물 500ml에 넣고 3시간 동안 교반 추출하였다. 추출물은 여과한 후 회전식 감압농축기(rotary vaccum evaporator, Eyela N-1N)로 감압농축한 후에 동결건조기(FD SFDSM12, Samwon, 한국)를 이용하여 동결건조된 타임 분말(EX1)을 제조하였다 After the thyme was thoroughly washed and dried, it was pulverized using a pulverizer. After that, 50 g of the thyme pulverized product is added to 90 to 100

was added to 500ml of water and extracted with stirring for 3 hours. After the extract was filtered and concentrated under reduced pressure with a rotary vacuum evaporator (Eyela N-1N), freeze-dried thyme powder (EX1) was prepared using a freeze dryer (FD SFDSM12, Samwon, Korea).

It was prepared as an extract using the same method as the thyme extract for the dermis, green tea and banana peel.

(2) Preparation of antibacterial composition

The thyme extract (EX1), the dermis extract (EX2), the green tea extract (EX3) and the banana peel extract (EX4) were mixed in the ranges shown in Table 1 below to prepare a mixed extract, and the mixed extract was dissolved in water 10 times. and diluted to prepare an antibacterial composition.

AR1 AR2 AR3 AR4 AR5 EX1 100 100 100 100 100 EX2 30 50 70 100 200 EX3 5 10 15 20 30 EX4 5 10 15 20 30

(unit weight parts)

(3) Preparation of antibacterial layer

The antibacterial composition of AR1 to AR4 was sprayed onto the fabric on a pulp material having a density of 30 to 40 g/m ² , and dried to prepare an antibacterial layer.

[Experimental Example 1]

Antibacterial effect test

For the antimicrobial evaluation, only the antibacterial composition was different and all other conditions were the same, and the fungi were inoculated into the antibacterial layer sprayed on the fabric, and the concentration of the bacteria was measured after 24 hours. The results are shown in Table 2 below.

This fungus is known to cause infection of Kindida vaginitis. The antibacterial effect of the fungus was tested.

Initial concentration (CFU/mL) log (CFU/mL) after 6 hours Bacterial reduction rate (%) comparative example 1.00 × 10 ⁵ 8.00 × 10 ⁵ - AR1 1.00 × 10 ⁵ 4.00 × 10 ⁴ 60 AR2 1.00 × 10 ⁵ 0 100 AR3 1.00 × 10 ⁵ 0 100 AR4 1.00 × 10 ⁵ 0 100 AR5 1.00 × 10 ⁵ 6.00 × 10 ⁴ 40

(CFU is a conceptual representation of the number of bacteria)

According to Table 2, it was confirmed that the concentration of fungi was increased when the antibacterial layer was not formed by spraying the fabric with the antibacterial composition, or when the antibacterial layer was formed with the antibacterial composition mixed within the range of the present invention.

On the other hand, when the antibacterial composition of the present invention was used, it was confirmed that the concentration of the fungus was reduced, thereby confirming the excellent antibacterial effect. In particular, in the case of AR2 to AR4, it can be confirmed that a very high level of antibacterial effect is achieved due to the synergistic effect of the interaction of each composition.

[Experimental Example 2]

sensory evaluation

For the summer clothing according to an embodiment of the present invention, a sensory evaluation was carried out for 5 groups by setting 3 people each to 1 group of 15 randomly selected general participants.

After wearing the summer clothing for 2 days, the general participants asked to check the fit, sweat absorption, and odor of the summer clothing. The evaluation was requested on a score of 1 to 5, and the higher the evaluation score, the better the evaluation.

The provided summer clothes were prepared with antibacterial compositions AR1 to AR4 and Comparative Examples, respectively, and all other conditions were the same except for the antibacterial composition.

AR1 AR2 AR3 AR4 AR5 comparative example fit 5 4.5 4.5 5 5 4.5 degree of sweat absorption 4.5 5 4.5 5 4.5 4.5 smell 3 5 4.5 4 2.5 One

According to the evaluation results, it was confirmed that both the wearing comfort and the degree of sweat absorption received excellent evaluations. As a result of inquiring about whether to purchase the product when it is sold as an actual product, in AR2 to AR4 groups, if the price is not too expensive, the purchase intention was evaluated as high. However, in the case of AR1, AR5, and the Comparative Example group, the smell of sweat was easily felt, and thus, the smell received a very low evaluation, and it was confirmed that the purchase intention received a low evaluation.

In addition, the above-described clothing for each type may include winter clothing. The winter clothing may be clothing according to a predetermined item, and the winter clothing is preferably made of a fabric containing an antistatic composition.

Preferably, the winter clothing may include the antistatic composition below. The winter in Korea has a dry climate, so static electricity can easily occur. This may affect the user's skin and may also affect the electronic device used by the user, which may cause a problem.

The antistatic composition forms an antistatic layer on the fabric by spraying, thereby preventing the generation of static electricity in winter.

Preferably, the antistatic layer is a polysiloxane represented by the following formula (1); Conductive fillers and graphite may include:

[Formula 1]

here,

m is an integer from 1 to 100,

p is an integer from 3 to 10,

R ₁ to R ₃ are the same as or different from each other, and each independently selected from the group consisting of hydrogen, deuterium, a hydroxy group, a substituted or unsubstituted C 1 to C 30 alkyl group, or a substituted or unsubstituted C 6 to C 30 aryl group, ,

Preferably, the substituted alkylene group, substituted arylene group, substituted alkyl group and substituted aryl group are hydrogen, deuterium, cyano group, nitro group, halogen group, hydroxy group, alkyl group having 1 to 30 carbon atoms, alkyl group having 1 to 20 carbon atoms A cycloalkyl group, an alkenyl group having 2 to 30 carbon atoms, an alkynyl group having 2 to 24 carbon atoms, an aralkyl group having 7 to 30 carbon atoms, an aryl group having 6 to 30 carbon atoms, a heteroaryl group having 5 to 60 nuclear atoms, 6 to 30 carbon atoms of a heteroarylalkyl group, an alkoxy group having 1 to 30 carbon atoms, an alkylamino group having 1 to 30 carbon atoms, an arylamino group having 6 to 30 carbon atoms, an aralkylamino group having 6 to 30 carbon atoms, a heteroarylamino group having 2 to 24 carbon atoms, 1 to carbon atoms It is substituted with one or more substituents selected from the group consisting of a 30 alkylsilyl group, an arylsilyl group having 6 to 30 carbon atoms, and an aryloxy group having 6 to 30 carbon atoms, and when substituted with a plurality of substituents, they are the same or different from each other.

More preferably, the compound represented by Formula 1 may be a compound represented by Formula 2 below.

[Formula 2]

Here, m and p are as defined in Formula 2 above.

Preferably, the conductive filler may be selected from the group consisting of silica, alumina, and mixtures thereof, but preferably alumina, but not limited to the above example. The conductive filler has a particle diameter of 30 to 50 μm, but is not limited to the above example. The conductive filler may exhibit electrical conductivity.

The graphite is included in a small amount, so that the antistatic effect in the antistatic layer can be continuously maintained. Considering that graphite is an expensive conductive filler, it is included in a small amount in the antistatic layer in the present invention to maintain a continuous antistatic effect.

More specifically, the antistatic layer of the present invention may include polysiloxane represented by Formula 1; Including conductive fillers and graphite, it may exhibit an antistatic effect. The polysiloxane is divided into a hydrophilic portion and a hydrophobic portion. The hydrophilic moiety is capable of hydrogen bonding with a water molecule by an oxygen atom containing a lone pair of electrons. On the other hand, the alkyl group acts as a hydrophobic group. Accordingly, the hydrophilic portion is positioned on the surface of the antistatic layer, and the hydrophobic portion is positioned in the opposite direction, thereby exhibiting a semi-permanent antistatic effect.

For forming the antistatic layer, the antistatic composition may more specifically include a polysiloxane represented by Formula 1; It can be prepared by mixing a conductive filler, graphite, and an organic solvent.

The organic solvent may be selected from the group consisting of ethanol, methanol, butanol, hexane, propane, toluene, phenol, and mixtures thereof.

Preferably, the antistatic composition may include 40 to 80 parts by weight of the polysiloxane represented by Formula 1, 30 to 50 parts by weight of the conductive filler, and 5 to 10 parts by weight of graphite based on 100 parts by weight of the organic solvent. In the case of the above range, a synergistic effect of critical significance is expressed as an antistatic synergistic effect due to the interaction of each component, and when it is out of the above range, the synergistic effect is rapidly reduced or almost absent.

More preferably, the viscosity of the antistatic composition is 1,200 to 1,500 cP, and when the viscosity is less than 1,200 cP, there is a problem of flowing down when the antistatic layer is formed by spraying onto the fabric, and when it exceeds 1,500 cP, uniform There is a problem in that the formation of the antistatic layer is not easy.

[Production Example: Preparation of Antistatic Layer]

1. Preparation of antistatic composition

An antistatic composition was prepared by mixing polysiloxane represented by the following Chemical Formula 3, a conductive filler, and graphite in an organic solvent in which toluene and phenol were mixed in a weight ratio of 1:1:

[Formula 3]

Here, m is an integer from 10 to 30, and p is an integer from 3 to 5.

A more specific composition of the antistatic composition is shown in Table 4 below.

DY1 DY2 DY3 DY4 DY5 DY6 organic solvent 100 100 100 100 100 100 polysiloxane 20 30 40 60 80 100 alumina 10 20 30 40 50 60 graphite One 3 5 7 10 15

(unit weight parts)

The alumina has a particle diameter of 30 to 50 μm.

2. Preparation of antistatic layer

After spraying the antistatic composition of HS 1 to HS 6 on one side of the fabric for winter clothing, it was thermally cured to form an antistatic layer.

[Experimental Example: Anti-static effect test]

1. Viscosity Measurement

Before forming the antistatic layer on one surface of the polyamide base layer, the viscosity of the antistatic composition was measured. Viscosity was measured using a rheometer (Rheometer, Compac-100, Sun Sci. Co., Japan). The viscosity measurement results are shown in Table 5 below.

DY1 DY2 DY3 DY4 DY5 DY6 Viscosity (cP) 620 800 1010 1400 1950 2400

2. Measurement of surface electrical resistance

For the protective layer in which the antistatic layer of DY 1 to DY 6 was formed on one surface of the polyamide base layer, the surface electrical resistance was measured using a Resistance Meter SIMCO resistor ST-4 (25° C., 50% relative humidity). As a comparative example, the surface electrical resistance of the polyamide base layer on which the antistatic layer was not formed was also measured.

comparative example DY1 DY2 DY3 DY4 DY5 DY6 Surface electrical resistance (Ω/cm ² ) 7.4Х10 ¹¹
inside
1.6Х10 ¹² 6.4Х10 ⁹
inside
1.4Х10 ¹⁰ 1.4Х10 ⁹
to 1.6Х10 ¹⁰ 7.2Х10 ⁸
inside
6.1Х10 ⁹ 4.4Х10 ⁷
inside
2.1Х10 ⁸ 6.5Х10 ⁷
inside
4.5Х10 ⁸ 5.8Х10 ⁸
inside
7.8Х10 ⁸

According to Table 6, compared to the comparative example in which the antistatic layer is not formed, since the surface electrical resistance of DY 1 to DY 6 is low, the electrical conductivity is excellent, and it can be confirmed that an excellent antistatic effect is exhibited.

In addition, the clothing for all seasons according to the present invention may be clothing including both the antibacterial composition and the antistatic composition described above. In this case, both the antibacterial composition and the antistatic composition may form a plurality of layers on the fabric by spraying. In this case, the clothes may be manufactured so that the antistatic layer is first formed on the fabric and the antibacterial layer is formed on the antistatic layer.

2 to 4 are diagrams illustrating examples of generating a fashion product design for summer clothing.

According to FIG. 2 , for example, a classification code for summer clothing is a short-sleeved T-shirt. Design features for summer clothing include the color of the clothing, the pattern of the clothing, the ratio of the width and length of the body part or body portion, and the ratio of the length of the arm part or arm portion and the body portion of the clothing. may include

Referring to FIG. 2 , the horizontal length of the body is a length measured in the transverse direction (left and right direction) of the body of the garment, and may be a length measured by a conventional method. The longitudinal length of the body part is a length measured in the longitudinal direction (up and down direction) of the body part of the garment, and may be a length measured by a conventional method. The vertical length of the arm part is a length from the shoulder line of the garment to the end point of the arm part, and may be a length measured by a conventional method. The number of clothes may vary depending on the measurement method, but it is preferable to use the measurement method commonly used in the art.

Referring to FIG. 3 , a correlation between sales for summer clothing is shown. Among the plurality of short-sleeved tees, the top 20% and bottom 20% may be derived based on sales volume/sales.

According to FIG. 3 , the summer clothing corresponding to the bottom 20% of sales volume/sales may be a short-sleeved T-shirt A, a short-sleeved T-shirt B, a short-sleeved T-shirt C, and a short-sleeved T-shirt D. The design feature points for each short-sleeved tee may include a color of the clothing, a pattern of the clothing, a ratio of a horizontal length and a vertical length of the body of the clothing, and a ratio of a vertical length of the arm and the body of the clothing. In addition, in order to analyze the sales correlation, the SNS mention frequency and advertisement feedback rate for each short-sleeved tee may be additionally derived.

Referring to FIG. 3 , short-sleeved tee A and short-sleeved t-shirt B may be summer clothing corresponding to the bottom 20% of sales volume/sales, and short-sleeved tee C and short-sleeved tee D may be summer clothing corresponding to the top 20% of sales/sales. Analyzing the correlation between each piece of information and sales can be as follows.

According to FIG. 3, the common design feature of the short-sleeved tee A and the short-sleeved tee B is white, the aspect ratio of the body part of 1:2 or more, and the short-sleeved tee A and the short-sleeved tee B have relatively small SNS mention frequency and advertisement feedback ratio. can have Conversely, short-sleeved tee C and short-sleeved tee D are red or orange, and have a red-based color, the aspect ratio of the body part is 1:2 or less, and the SNS mention frequency and advertisement feedback ratio are relatively high. . However, it was not possible to find patterns and trends in sales volume/sales, and similarly, trends in the ratio of length of arm and body parts and sales volume/sales could not be found.

According to FIG. 4 , a fashion product design generated based on design feature points according to the sales correlation derived from FIG. 3 is shown. As a result of the sales correlation analysis, a correlation may exist depending on the color of the clothing, and a correlation may exist depending on the ratio of the width and length of the body of the clothing. Accordingly, a fashion product design may be generated based on a corresponding color (red or orange). In addition, the fashion product design may be generated based on an average value of the aspect ratio of the body parts of the short-sleeved tee C and the short-sleeved tee D. In this way, the fashion product design may be generated by adding or combining design feature points from which a correlation is derived with a design default value.

5 to 7 are diagrams illustrating examples of generating a fashion product design for winter clothing.

Referring to FIG. 5 , for winter clothing, a classification code may be padding as an example. The design feature points for the winter clothing may include the color of the clothing, the pattern of the clothing, the ratio of the length to width of the body of the clothing, the ratio of the length of the arm to the length of the body of the clothing, and whether the clothing has a hat or not.

Referring to FIG. 6 , a correlation between sales for winter clothing is shown. Among the plurality of paddings, the top 20% and the bottom 20% may be derived based on the sales volume/sales.

According to FIG. 6 , winter clothing corresponding to the lower 20% of sales volume/sales may be padding A, padding B, padding C, and padding D. The design feature points for each padding may include the color of the clothing, the pattern of the clothing, the ratio of the length to width of the body of the clothing, the ratio of the length of the arm to the length of the body of the clothing, and the presence or absence of a hat. In addition, in order to analyze the sales correlation, SNS mention frequency and advertisement feedback ratio for each padding may be additionally derived.

Referring to FIG. 6 , padding A and padding B may be winter clothing corresponding to sales volume/sales lower 20%, and padding C and padding D may be winter clothing corresponding to sales volume/sales top 20%. Analyzing the correlation between each piece of information and sales can be as follows.

Referring to FIG. 6 , a common design feature of the padding A and the padding B may be a body aspect ratio of 1:2 or more. Considering the above ratio, padding A and padding B can be analyzed as long padding. In addition, padding A and padding B may have relatively low SNS mention frequency and advertisement feedback rate. Conversely, the padding C and the padding D include blue color, the aspect ratio of the body part is 1:2 or less, and the SNS mention frequency and advertisement feedback ratio are relatively high. Also, looking at the ratio of the length of the arm and the body, the padding A and the padding B may have a ratio of 1:1.5 or more, and the padding C and the padding D may have a ratio of 1:1 or less. However, we could not find any trends in clothing patterns and sales/sales.

According to FIG. 7 , a fashion product design generated based on design feature points according to the sales correlation derived from FIG. 6 is shown. As a result of the sales correlation analysis, there may be correlations depending on the color of the clothing, the ratio of the width and length of the body, the ratio of the length of the arm and the body, and the presence or absence of a hat. Accordingly, a fashion product design may be generated based on a corresponding color (blue). Also, the fashion product design may be generated based on the average value of the aspect ratio of the body of the padding C and the padding D. In addition, the fashion product design may be generated based on the average value of the ratios of the lengths of the arm and body parts of the padding C and the padding D. Also, a fashion product design may be created to include a hat. In this way, the fashion product design may be generated by adding or combining design feature points from which a correlation is derived with a design default value.

Hereinafter, a method for designing a fashion product and generating an advertisement according to a fashion trend and advertisement feedback according to another preferred embodiment of the present invention will be described in detail based on the above-mentioned contents.

Hereinafter, the subject performing the method according to another preferred embodiment of the present invention, which will be described later, may be a system or a server according to an embodiment of the present invention.

In addition, in the description of the method according to another preferred embodiment of the present invention to be described later, the same or overlapping content as described above may be omitted.

8 is a view showing a fashion product design and advertisement generation method according to a fashion trend and advertisement feedback according to the present invention.

According to FIG. 8, the method according to the present invention includes the steps of obtaining SNS mention frequency information for each type of clothing (S1100), obtaining information on sales volume for each type of clothing (S1200), and information on design feature points of each type of clothing. A step of obtaining (S1300), a step of obtaining advertisement feedback information for each type of clothing (S1400), a step of obtaining a sales correlation for each type of clothing based on the information (S1500), a certain level of sales based on the sales correlation Step of extracting design feature points corresponding to clothing that exceeds a certain level (S1600), generating a fashion product design based on design feature points corresponding to clothing with sales exceeding a certain level (S1700), advertising data based on the fashion product design It may include a step of obtaining (S1800), a step of transmitting the fashion product design and the advertisement data to the display unit 140 (S1900).

In the step of obtaining SNS mention frequency information for each type of clothing ( S1100 ), SNS mention frequency information may be obtained through web crawling. A description thereof is the same as described above. The SNS mention frequency information may be the number of times that a corresponding product is mentioned on a corresponding SNS or a photo of the corresponding product is posted during a predetermined period.

In the step of obtaining sales volume information for each type of clothing ( S1200 ), pre-stored sales volume information may be loaded. Sales by clothing may be derived based on the sales volume information.

The step ( S1300 ) of obtaining information on the design feature points of each type of clothing may be a step of loading and obtaining previously stored information on the design feature points for each type of clothing. Important characteristics may vary depending on the type of clothing. Accordingly, design feature points may be preselected and stored according to the type of clothing.

The step of obtaining advertisement feedback information for each type of clothing ( S1400 ) may be a step of obtaining by loading pre-stored advertisement feedback information. The advertisement feedback information may be generated from user feedback information and stored in a database. The user feedback information may include information on the number of times a user accesses a predetermined web site through the advertisement screen.

The step (S1500) of obtaining a sales correlation for clothing by type based on the information extracts design features of the products of the lower 20% and common design features of the products of the top 20% by clothing type, and between the extracted design features and sales correlation can be analyzed or derived.

The step of extracting design feature points corresponding to clothes whose sales exceed a certain level based on the sales correlation ( S1600 ) may be a step of extracting design feature points having a correlation with sales. That is, design feature points that are correlated with sales may be extracted from clothing of the top 20% of sales volume/sales.

In the step (S1700) of generating a fashion product design based on the design feature points corresponding to clothes whose sales exceed a certain level, a new fashion product design is created by combining the extracted design feature points and a predetermined fashion product design (basic design). It may be a step to

The step of obtaining advertisement data based on the fashion product design (S1800) includes the step of obtaining information on the product corresponding to the new fashion product design (S1810) and the advertisement data for the product based on the obtained information. It may include a step of obtaining (S1820). In this case, the information on the product may correspond to a new fashion product design, and corresponding values may be preset values.

The step (S1900) of transmitting the fashion product design and the advertisement data to the display unit 140 is to transmit data on the screen including the fashion product design and advertisement to the display unit 140 so that the user can visually recognize it. can be a step.

In addition, the clothing for each type may be summer clothing, winter clothing, and seasonal clothing, and the features thereof are the same as those described in the embodiment of the present invention, and thus detailed descriptions thereof will be omitted.

In addition, the method according to another embodiment of the present invention may further include receiving user feedback on advertisement data (S2000). In this case, the advertisement feedback information may include information on user feedback on the advertisement. That is, user feedback information on advertisement data may be stored in a database, advertisement feedback information may be generated based on stored user feedback information, or advertisement feedback information may include stored user feedback information.

The present invention described above can be modeled as computer readable code on a medium in which a program is recorded. The computer-readable medium includes all types of recording devices in which data readable by the computer system 100 is stored. Examples of computer-readable media include Hard Disk Drive (HDD), Solid State Disk (SSD), Silicon Disk Drive (SDD), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. It also includes modeling in the form of a carrier wave (eg, transmission over the Internet). Accordingly, the above detailed description should not be construed as restrictive in all respects but as exemplary. The scope of the present invention should be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the present invention are included in the scope of the present invention.

Any or other embodiments of the present invention described above are not mutually exclusive or distinct. Any of the above-described embodiments or other embodiments of the present invention may be combined or combined with each configuration or function.

The above detailed description should not be construed as restrictive in all respects and should be considered as exemplary. The scope of the present invention should be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the present invention are included in the scope of the present invention.

100: system
110: DB
120: server
130: user input unit
140: display unit

Claims (10)

A first DB for storing SNS mention frequency for each type of fashion product;
a second DB for storing sales volume information for each type of fashion product;
a third DB for storing information on design features of the fashion products for each type;
a fourth DB for storing advertisement feedback information for each type of fashion product;
a correlation analysis unit for analyzing and presenting a sales correlation for each type of fashion product based on the information of the first DB to the fourth DB;
a design generating unit extracting the design feature points corresponding to the fashion products for which the sales exceed a certain level based on the sales correlation, and generating a fashion product design based on the extracted design feature points;
an advertisement generating unit for obtaining advertisement data based on the fashion product design; and
A fashion product design and advertisement generation system according to a fashion trend and advertisement feedback, including; a display unit for displaying the fashion product design and the advertisement data.
According to claim 1,
Further comprising; a feedback receiving unit for receiving user feedback on the advertisement data;
The advertisement feedback information is
A fashion product design and advertisement generation system according to fashion trends and advertisement feedback, which includes information on the user feedback.
According to claim 1,
The design features are,
Fashion that includes at least one of the type of the fashion product, the color of the fashion product, the pattern of the fashion product, the aspect ratio of the body of the fashion product, and the ratio of the length of the arm and the body of the fashion product. Fashion product design and advertisement generation system according to trend and advertisement feedback.
According to claim 1,
The design generating unit,
The fashion product design and advertisement generation system according to fashion trend and advertisement feedback, which generates the fashion product design based on the extracted design feature points and keyword information input by the user.
According to claim 1,
The fashion products for each type include summer fashion products, winter fashion products, and four season fashion products,
The fashion product for summer is made of a fabric containing an antibacterial composition, a fashion product design and advertisement generation system according to fashion trends and advertisement feedback.
According to claim 1,
The fashion products for each type include summer fashion products, winter fashion products, and four season fashion products,
The fashion product for winter is made of a fabric containing an antistatic composition, a fashion product design and advertisement generation system according to fashion trends and advertisement feedback.
According to claim 1,
The fashion products for each type include summer fashion products, winter fashion products, and four season fashion products,
The fashion product for all seasons is a fashion product design and advertisement generation system according to fashion trends and advertisement feedback, which is made of a fabric containing an antibacterial composition and an antistatic composition.
acquiring SNS mention frequency information for each type of fashion product;
obtaining sales volume information for each type of fashion product;
acquiring information on design feature points of the fashion products for each type;
obtaining advertisement feedback information on the fashion products for each type;
acquiring a sales correlation with respect to the fashion products by type based on the information;
extracting the design feature points corresponding to the fashion products whose sales exceed a certain level based on the sales correlation;
generating a fashion product design based on the design feature points corresponding to the fashion products whose sales exceed a certain level;
acquiring advertisement data based on the fashion product design; and
Transmitting the fashion product design and the advertisement data to a display unit; fashion product design and advertisement generation method according to fashion trends and advertisement feedback, including.
9. The method of claim 8,
Receiving user feedback on the advertisement data; further comprising,
The advertisement feedback information is
A method for designing a fashion product and generating an advertisement according to a fashion trend and advertisement feedback, which includes information on the user feedback for the advertisement.
A non-transitory computer-readable medium having stored thereon instructions, comprising:
10. A non-transitory computer-readable medium wherein the instructions, when executed by a processor, cause the processor to perform the method of any one of claims 8 and 9.

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