KR102518457B1 - Module Assembled Flexible Design Recommendation system based on Platform - Google Patents

Abstract

The present invention relates to a platform-based customized assembly design integrated matching recommendation system, and more particularly, to a customized assembly design integrated matching recommendation system that recommends assembly design data that can be assembled through a specific type of module to consumers accessing the platform. In, a design library in which assemblage design data uploaded on the platform by a designer or consumer is accessed and classified by artificial intelligence learning; a consumer DB in which consumer information and needs data entered by a consumer through access are stored; a consumer propensity analysis unit having a consumer information input unit for inputting consumer information, a consumer needs input unit for inputting consumer needs data, and a propensity determination unit for generating consumer propensity data by determining the design propensity of the consumer; a design recommendation unit that recommends prefabricated design data stored and classified in the design library to the consumer based on the propensity data, the needs data, and the consumer information; a space image input unit for uploading a real space image in which a design is to be installed; and a design presenting unit for presenting the assembled design data recommended by the design recommendation unit and the assembled design data selected by the consumer on the image of the real space, wherein the assembled design data stored in the design library includes a plurality of assembled design data. It relates to a platform-based customized assembly design integrated matching recommendation system, characterized in that it is a whole preliminary design, partial design, overall design, character design, or decorative design assembled by modules of.

Description

Platform-based customized assembly design integrated matching recommendation system {Module Assembled Flexible Design Recommendation system based on Platform}

The present invention relates to a platform-based customized assembly design integrated matching recommendation system.

A company's design outsourcing process includes a process of requesting design production to a single freelance designer or a single design requesting company and receiving the corresponding content. When a single freelance designer or design client is commissioned to design production, the cost consumed is high for a small business, and the cost burden is high, and the design performance compared to the cost invested is low for the standpoint of a single freelance designer or design client.

As a prior art, Korean Patent Publication No. 10-2003-0070164 connects a customer and a service company that mediates design through a network, and provides a 1:1 design customization service with the customer through a cyber designer registered with the mediation service company. It relates to a design service intermediary method for providing, selecting a product classification field for the design requested by the customer and storing it; Searching for designers classified according to the corresponding field in the member information DB, and selecting the searched designer; Asking the designer whether to do the design work by e-mail or SMS; If there is an inquiry result from the designer, the operator server notifies the date and time to consult with the customer and the designer terminal through e-mail or SMS and registers the date and time on the bulletin board; The operator server connects the customer and the designer terminal to the operator server on the consultation reservation date, and selects a design draft and price while transmitting data through a video chat mode and a text recording mode provided in a communication mode having a voice recognition function ; When the design proposal and price are selected, it is characterized in that it consists of the step of signing a contract with a documented contract through an operator server.

And Korean Registered Patent Publication No. 10-1660267 relates to a service providing method for mediating design request and provision by connecting a designer and a company, comprising the steps of receiving a request for a design with specified requirements from a terminal of the company; Searching for a terminal of an external designer and a terminal of an internal designer corresponding to a requirement from a designer database; Transmitting the requirements to the terminal of the searched external designer; receiving a plurality of first design drafts from terminals of external designers; Transmitting the first design proposal and requirements to the internal designer's terminal; receiving a plurality of second design drafts from a terminal of an internal designer; and providing the second design draft to the terminal of the company.

However, these conventional technologies simply connect a designer and a consumer or a designer and a company, and there is a limit in that only communication between a consumer and a designer or a designer and a company, communication such as exchange of opinions, price negotiation, and delivery of requirements exists.

Therefore, among the design data stored, updated, and classified in the design library, the design that meets the consumer's propensity is automatically recommended on the platform and connected to the designer who produced the selected design data, and the expected product for the selected design data is displayed in VR The development of a design integrated recommendation system that can be presented as data was required.

Korean Patent Publication No. 10-2003-0070164 Korean Patent Registration No. 10-1660267 Korean Patent Publication No. 10-2018-0078845 Korean Patent Registration No. 10-1837473

Therefore, the present invention has been devised to solve the above conventional problems, and according to an embodiment of the present invention, assembling type design data that can be assembled through a specific type of module is recommended and selected by consumers who access the platform. Its purpose is to provide a customized assembly design integrated matching recommendation system that allows

According to an embodiment of the present invention, among the assembly design data stored, updated, and classified in the design library, a design that meets the consumer's propensity is automatically recommended on the platform, and the selected design data can be presented on the space image actually installed Its purpose is to provide a customized assembly design integrated matching recommendation system.

According to an embodiment of the present invention, after providing a plurality of images for each tendency presented through the tendency determination image presentation unit, the consumer's tendency is analyzed through a process of selecting an image that best matches the consumer's own tendency among the plurality of images. , It is possible to recommend a customized design to consumers by updating, and through the space image input unit, if the consumer uploads an image of a real space in which an actual assembly design product will be installed and recommends assembly design data that matches the actual space, the expected assembly design product Its purpose is to provide a customized assembly design integrated matching recommendation system that allows consumers to select a custom assembly design product for a real space by presenting it on an image of a real space.

And according to an embodiment of the present invention, the design recommendation unit recommends design data classified into all preliminary designs in stages based on propensity data, needs data, consumer information, and spatial analysis data, and among all preliminary designs recommended by consumers. If one is selected and the consumer selects at least one specific area from among all preliminary designs, the design recommendation unit recommends design data classified as partial designs for the specific area, and when the consumer selects the partial design recommended, The purpose of the design recommendation unit is to provide a platform-based customized assembly design integrated matching recommendation system that can customize the entire assembly design step by step and in detail by recommending design data classified as character design or decorative design. .

In addition, according to an embodiment of the present invention, if the consumer selects the recommended design data and then designates an area to be partially changed, the design recommendation unit based on the periphery of the selected area, consumer propensity data, needs data, and consumer information. Its purpose is to provide a platform-based customized assembly design integrated matching recommendation system that recommends another partial design and allows the changed design data to be stored and classified in a design library when the consumer selects the other partial design.

According to an embodiment of the present invention, the design recommendation unit, after the entire design is completed by the consumer's selection, if there is a residual cost within the construction estimate entered by the consumer, additional partial design, decoration design or The purpose is to provide a platform-based customized assembly design integrated matching recommendation system that can recommend design data corresponding to character design.

On the other hand, the technical problems to be achieved in the present invention are not limited to the above-mentioned technical problems, and other technical problems that are not mentioned will become clear to those skilled in the art from the description below. You will be able to understand.

An object of the present invention is a customized assembly design integrated matching recommendation system that recommends assembly design data that can be assembled through a specific type of module to consumers connected to the platform, and the designer or consumer accesses and uploads them on the platform. A design library in which assembly type design data is stored and classified by artificial intelligence learning; a consumer DB in which consumer information and needs data entered by a consumer through access are stored; a consumer propensity analysis unit having a consumer information input unit for inputting consumer information, a consumer needs input unit for inputting consumer needs data, and a propensity determination unit for generating consumer propensity data by determining the design propensity of the consumer; a design recommendation unit that recommends prefabricated design data stored and classified in the design library to the consumer based on the propensity data, the needs data, and the consumer information; a space image input unit for uploading a real space image in which a design is to be installed; and a design presenting unit for presenting the assembled design data recommended by the design recommendation unit and the assembled design data selected by the consumer on the image of the real space, wherein the assembled design data stored in the design library includes a plurality of assembled design data. It can be achieved as a platform-based customized assembly design integrated matching recommendation system, characterized in that the entire preliminary design, partial design, overall design, character design, or decorative design assembled by the modules of.

In addition, the prefabricated design data stored in the design library is divided into installation space types, uses, installation space sizes, usage periods, durability levels, degree of contact, capacity, consumer characteristics, atmospheres, themes, motifs, and number of modules. It is classified into at least one item among star, major use age, specific date relevance, module size, and construction estimate, and the needs data includes installation space information, use information, installation space size, It includes at least one information of usage period, degree of contact, number of occupants, atmosphere, theme, motif, main age of use, and construction estimate, and the design recommendation unit matches information of the needs data and classification items of the design data. It may be characterized in that the design data is recommended.

In addition, the design recommendation unit recommends design data classified as all preliminary designs step by step based on the propensity data, needs data, and consumer information, selects one of all preliminary designs recommended by the consumer, and selects one of all preliminary designs recommended by the consumer. If at least one specific area is selected, the design recommendation unit recommends design data classified as partial design for the specific area, and if the consumer-recommended partial design is selected, the design recommendation unit recommends character design or decorative design. It may be characterized by recommending classified design data.

And if the consumer selects the recommended design data and designates an area to be partially changed, the design recommendation unit recommends another partial design based on the periphery of the area, the consumer propensity data, the needs data, and the consumer information. And, when the consumer selects the other partial design, the changed design data may be stored and classified in the design library.

In addition, the design recommendation unit, after the entire design is completed by the consumer's selection, if there is a residual cost within the construction estimate entered by the consumer, an additional partial design, decoration design or character design corresponding to the residual cost It may be characterized by recommending design data.

And the propensity judgment unit analyzes the design data selected in the step-by-step selection process to continuously update the propensity data, and for each atmosphere, pattern, color, structure, motif, and character to determine the consumer's propensity a propensity determination image presentation unit for presenting a plurality of propensity determination images; and a propensity determination unit for continuously updating the propensity data based on the propensity determination image selected by the consumer according to mood, pattern, color, structure, motif, and character, and a propensity determination image presentation unit. may be characterized in that the consumer propensity data is updated by presenting a propensity determination image to the consumer at a specific period.

In addition, the propensity determination unit receives information including posting information related to an account of an external server including a social network, collects consumer activity information from the external server, and interlocks with the external server including a social network to determine the consumer's It may be characterized in that the consumer's propensity is analyzed by interlocking SNS and reflected in the propensity data.

The propensity determination unit may analyze sample images and sketch images collected, stored, and input by consumers, and reflect them to the propensity data.

And a conversion providing unit for generating converted data by converting the real space image uploaded to the spatial image input unit into 3D VR information or AR information; and a space image analysis unit generating space analysis data by analyzing the space atmosphere, location, structure, interior installation possible position, and dimensions of the real space image uploaded by the space image input unit.

In addition, the design recommendation unit recommends design data based on the spatial analysis data, propensity data, needs data, and consumer information, and the design presentation unit presents the design data selected by the consumer on the converted data of the actual spatial image. can be done with

According to the customized assembly design integrated matching recommendation system according to an embodiment of the present invention, assembly type design data that can be assembled through a specific type of module is recommended to consumers who access the platform, and has an effect that the consumer can select it. .

According to the customized assembly design integrated matching recommendation system according to an embodiment of the present invention, among assembly design data stored, updated, and classified in a design library, a design that meets the consumer's propensity is automatically recommended on the platform, and the selected design data is actually It has an effect that can be presented on the installed space image.

According to the customized assembly design integrated matching recommendation system according to an embodiment of the present invention, after providing a plurality of images for each tendency presented through the tendency judgment image presentation unit, selecting an image that best matches the consumer's own tendency among the plurality of images. Through this process, it is possible to recommend customized designs to consumers by analyzing and updating consumer tendencies. Through the space image input unit, consumers can upload images of actual spaces in which actual assembly design products will be installed, and assembly design data that matches the actual space. is recommended, the expected assembly design product is presented on the image of the actual space, so that the consumer can select the assembly design product customized for the actual space.

And according to the custom assembly design integrated matching recommendation system according to an embodiment of the present invention, the design recommendation unit recommends design data classified as total preliminary design in stages based on propensity data, needs data, consumer information, and spatial analysis data, , When the consumer selects one of the recommended overall preliminary designs, and the consumer selects at least one specific area from among all preliminary designs, the design recommendation unit recommends design data classified as partial designs for the specific area, and the consumer When the recommended partial design is selected, the design recommendation unit has an effect of customizing the whole assembly design step by step and in detail in a manner of recommending design data classified as character design or decorative design.

In addition, according to the customized assembly design integrated matching recommendation system according to an embodiment of the present invention, when a consumer selects recommended design data and then designates an area to be partially changed, the design recommendation unit includes the periphery of the selected area and the consumer propensity data. Another partial design is recommended based on the needs data and consumer information, and when the consumer selects the other partial design, the changed design data is stored in the design library and can be classified.

According to the customized assembly design integrated matching recommendation system according to an embodiment of the present invention, the design recommendation unit, after the entire design is completed by the consumer's selection, if there is a residual cost in the construction estimate entered by the consumer, the residual cost It has the effect of recommending design data corresponding to additional part design, decoration design or character design in accordance with

On the other hand, the effects obtainable in the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below. You will be able to.

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and together with the detailed description of the invention serve to further understand the technical idea of the present invention, the present invention is limited only to those described in the drawings. and should not be interpreted.
1A to 1D are perspective views of a standard block capable of producing an assembling design product according to an embodiment of the present invention;
2 is a perspective view of a cap block for manufacturing an assembly design product according to an embodiment of the present invention;
3 is a perspective view of a shelf module block for manufacturing a prefabricated design product according to an embodiment of the present invention;
4 is a perspective view of a shelf block for manufacturing a prefabricated design product according to an embodiment of the present invention;
5 is a perspective view of a mosaic deco block for manufacturing an assembly design product according to an embodiment of the present invention;
Figure 6a is a perspective view of an anti-slip block for manufacturing a prefabricated design product according to an embodiment of the present invention;
Figure 6b is a perspective view of a fixing pin for manufacturing an assembly design product according to an embodiment of the present invention;
7 is a perspective view of a direction changing block for manufacturing an assembly type design product according to an embodiment of the present invention;
8 is a photograph of a prefabricated design product used as furniture according to an embodiment of the present invention;
9a to 9d are exemplary photos of a prefabricated design manufactured according to an embodiment of the present invention;
10 is a schematic diagram of a platform-based customized assembly design integrated matching recommendation system according to an embodiment of the present invention;
11 is a block diagram of a platform-based customized assembly design integrated matching recommendation system according to an embodiment of the present invention;
12 is a block diagram of a consumer propensity analysis unit according to an embodiment of the present invention;
13 is a flowchart of a method for generating consumer propensity data according to an embodiment of the present invention;
14 is a flowchart of a platform-based customized assembly design integrated matching recommendation method according to an embodiment of the present invention.

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided so that the disclosed content will be thorough and complete and the spirit of the present invention will be sufficiently conveyed to those skilled in the art.

In this specification, when an element is referred to as being on another element, it means that it may be directly formed on the other element or a third element may be interposed therebetween. Also, in the drawings, the thickness of components is exaggerated for effective description of technical content.

Embodiments described in this specification will be described with reference to cross-sectional views and/or plan views, which are ideal exemplary views of the present invention. In the drawings, the thicknesses of films and regions are exaggerated for effective explanation of technical content. Accordingly, the shape of the illustrated drawings may be modified due to manufacturing techniques and/or tolerances. Therefore, embodiments of the present invention are not limited to the specific shape shown, but also include changes in the shape generated according to the manufacturing process. For example, a region shown at right angles may be rounded or have a predetermined curvature. Accordingly, the regions illustrated in the drawings have attributes, and the shapes of the regions illustrated in the drawings are intended to illustrate a specific shape of a region of a device and are not intended to limit the scope of the invention. Although terms such as first and second are used to describe various elements in various embodiments of the present specification, these elements should not be limited by these terms. These terms are only used to distinguish one component from another. Embodiments described and illustrated herein also include complementary embodiments thereof.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. The terms 'comprises' and/or 'comprising' used in the specification do not exclude the presence or addition of one or more other elements.

In describing the specific embodiments below, several specific contents are prepared to more specifically describe the invention and aid understanding. However, readers who have knowledge in this field to the extent that they can understand the present invention can recognize that it can be used without these various specific details. In some cases, it is mentioned in advance that parts that are commonly known in describing the invention and are not greatly related to the invention are not described in order to prevent confusion for no particular reason in explaining the present invention.

Hereinafter, the configuration and functions of the platform-based customized assembly design integrated matching recommendation system according to an embodiment of the present invention will be described.

An embodiment of the present invention is a customized assembly design integrated matching recommendation system that allows consumers connected to the platform to recommend and select assembly type design data that can be assembled through a specific type of module.

As will be described later, the assembly type design data stored in the design library is about a design that can be assembled and formed in various ways through a specific type of module block. It can be preliminary design, partial design, overall design, character design, or decorative design.

1A to 1D are perspective views of a standard block 10 capable of manufacturing a prefabricated design product according to an embodiment of the present invention. Accordingly, as shown in FIGS. 1A to 1D, various types of assembly designs can be formed by assembling the protrusion 11 formed on the upper end of the standard block 10 having various sizes and shapes into the lower insertion part. can know

2 is a perspective view of a cap block 20 for manufacturing an assembly design product according to an embodiment of the present invention. And FIG. 3 shows a perspective view of the shelf module block 30 for manufacturing the assembled design product according to the embodiment of the present invention. And Figure 4 shows a perspective view of the shelf block 40 for manufacturing the assembled design product according to an embodiment of the present invention. Figure 5 shows a perspective view of a mosaic deco block 50 for manufacturing a prefabricated design product according to an embodiment of the present invention.

In addition, Figure 6a is a perspective view of a non-slip block 60 for manufacturing an assembly design product according to an embodiment of the present invention, Figure 6b is a fixing pin for manufacturing an assembly design product according to an embodiment of the present invention It shows a perspective view of 70, and FIG. 7 shows a perspective view of a direction changing block 80 for manufacturing an assembly-type design product according to an embodiment of the present invention.

Therefore, these standard module blocks (10), cap blocks (20), shelf module blocks (30), shelf modules (40), deco blocks (50), non-slip blocks (60), fixing pins (70), direction conversion Through the block 80 and the like, it is possible to produce various types of assembly designs. 8 shows a photograph of an assembled design product used as furniture according to an embodiment of the present invention.

And Figures 9a to 9d show example photos of the assembled design manufactured according to an embodiment of the present invention.

10 shows a schematic diagram of a platform-based customized assembly design integrated matching recommendation system 100 according to an embodiment of the present invention, and FIG. 11 is a platform-based customized assembly design integrated matching recommendation system 100 according to an embodiment of the present invention. ) is shown as a block diagram.

As shown in FIG. 11, the platform-based customized assembly design integrated matching recommendation system 100 according to an embodiment of the present invention as a whole includes a design library 111, a consumer DB 113, a consumer propensity analysis unit 120, a design It can be seen that it is configured to include a recommendation unit 140, a space image input unit 160, a design presentation unit 150, and the like.

The design library 111 stores prefabricated design data that designers or consumers access and upload on the platform, and is configured to be classified by artificial intelligence learning.

The consumer DB 113 stores consumer information and needs data input by a consumer through access.

The consumer propensity analysis unit 120 includes a consumer information input unit 121 for inputting consumer information, a consumer needs input unit 122 for inputting consumer needs data, and a propensity for generating consumer propensity data by determining the design propensity of the consumer. It is configured to include a determination unit 130.

The design recommendation unit 140 is configured to recommend assembled design data stored and classified in the design library 111 to consumers based on propensity data, needs data, and consumer information.

The space image input unit 160 is configured to upload an image of a real space in which a prefabricated design product is to be installed.

The design presenting unit 150 is configured to present assembled design data recommended by the design recommendation unit 140 and assembled design data selected by the consumer on a real space image.

Assembled design data stored in the design library 111 is classified according to overall preliminary design, partial design, overall design, character design, or decorative design assembled by a plurality of modules.

The overall preliminary design corresponds to design data for the outline, layout, basic shape, virtual shape, etc. of the entire product to be assembled and formed.

And the partial design corresponds to the design data for the part that constitutes the overall design. For example, in the case of the overall preliminary design in the form of a castle, the gate, castle wall, castle roof, floor, etc. correspond to the partial design, and these plural partial designs are reassembled to form the overall design.

In addition, the character design refers to design data that has a character shape such as animal, superman, batman, kitty, ironman, etc. by assembling a plurality of module blocks. In addition, the decor design means a design that has various specific shapes by assembling the decor block shown in FIG. 5 on the outer wall of the design product.

In addition, the prefabricated design data stored in the design library 111 according to the embodiment of the present invention is based on artificial intelligence learning, by type of installation space, by use, by size of installation space, by period of use, by degree of durability, by degree of contact, by occupancy, It is classified by consumer characteristics, atmosphere, theme, motif, number of modules, major age of use, degree of relevance to a specific date, module size, and construction estimate.

In addition, the consumer's needs data includes installation space information, usage information, installation space size, usage period, contact degree, number of occupants, atmosphere, theme, motif, major use age, and construction estimate information entered by the consumer.

Accordingly, the design recommendation unit 140 recommends design data by matching the information of the needs data with the classification items of the design data.

The type of installation space corresponds to indoor, outdoor, domestic, exhibition hall, exhibition hall, etc., and the use corresponds to exhibition, event, indoor furniture, promotion, education, seminar, event, promotion, festival, etc.

The size of the installation space means the size of the space where the actual assembling design product will be installed, and the information input by the consumer in the needs data and the actual analyzed through the space image analysis unit of the design presenting unit 150, as will be described later. It can be the installation location and installation space size values that match the atmosphere, structure, location, and dimensions of the space image. The design recommendation unit 140 may recommend design data suitable for the size of the installation space to the consumer based on the spatial image analysis data.

The degree of durability is calculated and classified based on the material of the module to be assembled and the structure of the overall design to be assembled and completed.

The degree of contact is the degree to which the user comes into contact with the assembly design in the overall design, and the characteristics of the consumer may be age group, infants, children, youth, public institutions, and general companies.

12 is a block diagram of a consumer propensity analysis unit according to an embodiment of the present invention. 13 is a flowchart of a method for generating consumer propensity data according to an embodiment of the present invention.

As shown in FIG. 12, the consumer propensity analysis unit 120 is configured to generate consumer propensity data, and includes a consumer information input unit 121, a consumer needs input unit 122, a propensity determination unit 130, and the like. composition can be seen.

The consumer 1 inputs various information of the consumer 1 through the consumer information input unit 121 and inputs the needs data of the consumer 1 through the consumer needs input unit 122 . In addition, the consumer needs input unit 122 may input product reviews, requirements, survey items, and exchange information with the matched designer 2 .

The consumer propensity analysis unit 120 determines the design propensity of the consumer 1 through consumer information and needs data to generate consumer propensity data.

More specifically, the propensity determination unit 130 may include a propensity determination image presentation unit 131 and a propensity determination unit 132 .

In addition, the propensity judgment image presenting unit 131 presents a plurality of propensity images for each atmosphere, pattern, color, and structure to the consumer 1 in order to determine the propensity of the consumer 1 . The propensity determination unit 132 generates consumer propensity data of the consumer 1 based on the propensity image selected by the consumer 1 according to mood, pattern, color, and structure.

That is, a plurality of propensity images with different atmospheres, a plurality of propensity images with different patterns, a plurality of propensity images with different colors and tones, and a plurality of propensity images with different structures are provided to consumers ( 1), and the consumer 1 selects an image he/she likes from the plurality of propensity images. Through this selected propensity image, the consumer 1 determines the preferred atmosphere, pattern, structure, and tone (color).

In addition, the propensity judgment image presentation unit 131 presents a propensity image to the consumer 1 at specific intervals so that the consumer propensity data is updated.

13 is a flowchart of a method for generating consumer propensity data according to an embodiment of the present invention. First, as shown in FIG. 13, the propensity determination image presentation unit 131 presents a plurality of propensity images to the consumer 1 (S1), and the consumer 1 selects a preferred image from among the propensity images presented. And, if a preferred image cannot be selected from the presented propensity images, another propensity image can be requested to be updated (S2).

And the propensity determining unit 132 generates consumer propensity data based on the selected propensity image (S3). Such consumer propensity data is continuously updated at specific intervals (S4).

In addition, as shown in FIG. 12, the propensity determination unit 130 includes an external server interlocking unit 133. The external server interlocking unit 133 receives information including posting information related to an account of an external server including a social network, collects consumer activity information from the external server, and interlocks with the external server including a social network. It is configured to analyze the consumer's propensity by linking the consumer's SNS and reflect it in the propensity data.

And, as shown in FIG. 12, the propensity determination unit 130, including the consumer sample input unit 134, collects, stores, and inputs sample images and sketch images of designs and assembly designs that consumers usually like. It can be seen that it is configured to be reflected in the propensity data by analyzing.

The design recommendation unit 140 first recommends design data classified as all preliminary designs in stages based on propensity data, needs data, and consumer information. At this time, the real space image uploaded through the space image input unit 160 forms analysis data on the atmosphere, location, structure, actual installation location, installation dimensions, etc. of the real space through the space image analysis unit, and these analysis data and propensity data A plurality of preliminary designs are recommended to consumers based on data, needs data, and consumer information.

Further, when the consumer selects one of the recommended overall preliminary designs, and the consumer selects at least one specific area among all preliminary designs, the design recommendation unit recommends design data classified as partial designs for the specific area.

When the partial design recommended by the consumer is selected, the design recommendation unit recommends design data classified as character design or decoration design.

In addition, if the consumer selects the recommended design data and then designates an area to be partially changed, the design recommendation unit 140 displays the periphery of the design data in the selected area, consumer propensity data, needs data, consumer information, and spatial analysis data. Another partial design is recommended based on, and when the consumer selects the other partial design, the changed design data is stored in the design library 111 and configured to be classified.

In addition, the design recommendation unit 140, after the overall design is completed by the consumer's selection, if there is a residual cost within the construction estimate entered by the consumer, it corresponds to an additional partial design, decoration design, or character design that meets the residual cost. It is configured to recommend design data to be used.

And according to an embodiment of the present invention, a conversion providing unit for converting the real space image uploaded to the spatial image input unit 160 into 3D VR information or AR information to generate converted data, and the spatial image input unit 160 It is configured to include a space image analysis unit that generates space analysis data by analyzing the space atmosphere, location, structure, interior installation possible location, and dimensions of the uploaded real space image.

Accordingly, the design recommendation unit 140 recommends design data based on spatial analysis data, propensity data, needs data, and consumer information.

In addition, the design presenting unit 150 is configured to present the design data selected by the consumer on the converted data of the real space image.

14 is a flowchart of a platform-based customized assembly design integrated matching recommendation method according to an embodiment of the present invention.

First, the consumer accesses the platform, inputs consumer information and needs data, and uploads an image of the actual space where the assembly design product will be installed (S11). At this time, the propensity judgment image may be presented to the consumer through the propensity judgment image presentation unit 131 to form consumer propensity analysis data. In addition, the consumer may upload a design image or an assembly design that the consumer usually likes through the sample input unit 134. The spatial image analysis unit analyzes the uploaded real space image to form spatial analysis data, and the conversion providing unit converts the real space image into 3D AR and VR data (S12).

And, the design recommendation unit 140 first recommends design data classified as all preliminary designs in stages based on propensity data, needs data, consumer information, and spatial analysis data (S13).

At this time, the real space image uploaded through the space image input unit 160 forms analysis data on the atmosphere, location, structure, actual installation location, installation dimensions, etc. of the real space through the space image analysis unit, and these analysis data and propensity data A plurality of preliminary designs are recommended to consumers based on data, needs data, and consumer information.

Then, the consumer selects one of the recommended preliminary designs (S14). And this selected entire preliminary design is presented on the real space image.

Then, when the consumer selects at least one specific area from among the entire preliminary designs, the design recommendation unit 140 recommends design data classified as partial designs for the specific area (S15).

Then, a part design recommended by the consumer is selected (S16). This specific area selection, partial design recommendation, and selection process continue repeatedly until the entire design is completed. And the partial design determined in this recommendation and selection process is presented on the real space image by the design presentation unit.

In addition, when the consumer selects the recommended design data and then designates an area to be partially changed (S17, S18), the design recommendation unit 140 displays the periphery of the design data in the selected area, the consumer propensity data, the needs data, and the consumer Another partial design is recommended based on the information and spatial analysis data, and when the consumer selects the other partial design, the changed design data is stored in the design library and configured to be classified.

Next, the design recommendation unit 140 recommends design data classified as character design or decoration design (S19). Then, the consumer selects the recommended character design or decoration design (S20), and the selected character design or decoration design is expressed on the entire design presented in the real space image (S21).

And the design recommendation unit 140, after the entire design is completed by the consumer's selection, if there is a residual cost within the construction estimate entered by the consumer (S22), additional partial design, decoration design or character that matches the residual cost It is configured to recommend design data corresponding to the design (S23). The consumer is configured to select such additional design data (S24).

In addition, the device and method described above are not limited to the configuration and method of the above-described embodiments, but all or part of each embodiment is selectively combined so that various modifications can be made. may be configured.

1: Consumer
2: Designer
10: standard module block
11: Protrusion
20: Cap block
30: shelf module block
40: shelf block
50: mosaic deco block
60: anti-slip block
70: fixing pin
80: direction change block
100: Integrated Matching Recommendation Platform
111: Design library
113: Consumer DB
120: consumer propensity analysis department
121: holder information input unit
122: consumer needs input unit
130: propensity judgment unit
131: propensity judgment image presentation unit
132: propensity determining unit
133: external server linkage
134: consumer sample input unit
140: design recommendation unit
150: design presentation department
160: space image input unit

Claims (10)

In a customized assembly design integrated matching recommendation system that recommends assembly design data that can be assembled through a specific type of module to consumers connected to the platform,
A design library in which assemblage design data uploaded to the platform by a designer or consumer is stored and classified by artificial intelligence learning; a consumer DB in which consumer information and needs data entered by a consumer through access are stored; a consumer propensity analysis unit having a consumer information input unit for inputting consumer information, a consumer needs input unit for inputting consumer needs data, and a propensity determination unit for generating consumer propensity data by determining the design propensity of the consumer; a design recommendation unit that recommends prefabricated design data stored and classified in the design library to the consumer based on the propensity data, the needs data, and the consumer information; a space image input unit for uploading a real space image in which a design is to be installed; And a design presentation unit for presenting the assemblage design data recommended by the design recommendation unit and the assemblage design data selected by the consumer on the real space image,
The assembly type design data stored in the design library is a whole preliminary design, a partial design, a whole design, a character design, and a decorative design assembled by a plurality of modules,
The prefabricated design data stored in the design library is by installation space type, use, installation space size, use period, durability degree, contact degree, capacity, customer characteristics, atmosphere, theme, motif, and number of modules. , It is classified by artificial intelligence learning into items by major use age, specific date relevance, module size, and construction estimate,
The needs data includes installation space information, usage information, installation space size, usage period, contact degree, number of occupants, atmosphere, theme, motif, main use age, and construction estimate information entered by the consumer,
The design recommendation unit recommends the design data by matching information of the needs data with classification items of the design data,
The design recommendation unit recommends design data classified as all preliminary designs step by step based on the propensity data, needs data, and consumer information, the consumer selects one of the recommended total preliminary designs, and the consumer selects one of all preliminary designs recommended by the consumer. When at least one specific area is selected, the design recommendation unit recommends design data classified as partial design for the specific area, and when the consumer-recommended partial design is selected, the design recommendation unit classifies the design data into character design or decorative design. recommended design data,
After the consumer selects the recommended design data and designates an area to be partially changed, the design recommendation unit recommends another partial design based on the periphery of the area, the consumer propensity data, the needs data, and the consumer information. , When the consumer selects the other partial design, the changed design data is stored and classified in the design library,
The design recommendation unit, after the overall design is completed by the consumer's selection, if there is a residual cost within the construction estimate entered by the consumer, a design corresponding to the additional partial design, decoration design, or character design that meets the residual cost recommend data,
The assemblable design data is assembled by a plurality of modules, the module has a block shape, and the protrusion on the top of the block is inserted into the insertion part of another block and assembled, and the standard shape of Lego blocks of various sizes and shapes A module block, a cap block with a flat top, a shelf block in the form of a flat plate to form a shelf, a shelf module block for connecting and assembling the shelf block and the standard module block, a deco block, a non-slip block, and a change of direction Assembled by combining blocks,
The propensity determining unit receives information including posting information related to an account of an external server including a social network, collects consumer activity information from the external server, and interlocks with the external server including a social network to provide information about the consumer's SNS. Analyzing the consumer's propensity by interlocking and reflecting it to the propensity data;
The platform-based customized assembly design integrated matching recommendation system, characterized in that the propensity determination unit analyzes sample images and sketch images collected, stored, and input by consumers and reflects them to the propensity data.
delete delete delete delete According to claim 1,
The propensity determination unit continuously updates the propensity data by analyzing the design data selected in the step-by-step selection process,
a propensity judgment image presentation unit for presenting a plurality of propensity judgment images for each atmosphere, pattern, color, structure, motif, and character for determining the consumer's propensity; and a propensity determination unit for continuously updating the propensity data based on the propensity determination image selected by the consumer according to mood, pattern, color, structure, motif, and character, and a propensity determination image presentation unit. A platform-based customized assembly design integrated matching recommendation system, characterized in that the consumer propensity data is updated by presenting a propensity judgment image to the consumer at a specific period.
delete delete According to claim 1,
a conversion providing unit for generating converted data by converting the real space image uploaded to the spatial image input unit into 3D VR information or AR information; and
A platform-based custom assembly design further comprising a space image analysis unit for generating space analysis data by analyzing the space atmosphere, location, structure, interior installation possible position, and dimensions of the actual space image uploaded by the space image input unit. Integrated Matching Recommendation System.
According to claim 9,
The design recommendation unit recommends design data based on the spatial analysis data, propensity data, needs data, and consumer information;
The platform-based customized assembly design integrated matching recommendation system, characterized in that the design presentation unit presents the design data selected by the consumer on the conversion data of the real space image.

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