KR20240052517A - Interior data trading system and method - Google Patents

Abstract

The interior data transaction system according to the embodiment includes: a data provider terminal that provides structured and unstructured interior data related to interiors, such as construction details, contractor, company information, photos, videos, actual estimates, actual contracts, actual work schedules, and reviews; a server that collects interior data from the data provider terminal, recommends consumer-tailored interior data based on selection criteria including the price, contractor, location, and review information, and generates interest data including estimates, contracts, work schedules, and payment details from among the recommended data; and a data demander terminal that purchases consumer-tailored interior data or interest data from the server.

Description

INTERIOR DATA TRADING SYSTEM AND METHOD}

This disclosure relates to an interior data transaction system and method, and specifically, collects interior data such as construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews from interior design companies. This relates to an interior data transaction system and method for selling and providing interior data to consumers.

Unless otherwise indicated herein, the material described in this section is not prior art to the claims of this application, and is not admitted to be prior art by inclusion in this section.

Interior refers to the interior space of a building, house, or apartment, or the work of designing it. Interior design has a great influence on changing the atmosphere of a building. When we think of interior design, we often only think of the interior decoration of houses, but it is a comprehensive term that refers to the interior decoration of places such as department stores, schools, and fast food restaurants.

Interior design directly affects the convenience of users using indoor spaces, and the asset value of a building or apartment is determined by the interior, so it is a very important issue for all people who use buildings, real estate owners, and tenants.

In addition, recently, the importance of interior design is increasing because most cafes, hospitals, and sports facilities begin business activities after completing interior construction. However, interior construction prices vary widely depending on the company, and since customers do not have professional information about interior design, it is not easy to compare between companies. In addition, while additional charges are frequently incurred during the interior construction process, it is often difficult for customers to accurately determine the reason for the additional charge and the reasonableness of the additional charge, so many consumers face great difficulties during the interior construction process. It is common to experience In particular, the interior design market is a market with many defective services because buyers cannot know the quality of goods or services. The average cost of one construction project is 32 million won, while consumers' interior design expertise and information are lower than those of interior design companies. Because it is very poor, disputes and damage cases frequently occur.

In addition, it is difficult for most consumers to understand changes in space after interior design is completed, and in the past, interior reviews were not transparently disclosed, so companies often do not respond to repairs.

1. Korean Patent Publication No. 10-2020-0104443 (2022.03.02) 2. Korean Patent No. 10-2177336 (2020.11.04)

The interior data transaction system and method according to the embodiment is an interior design company corresponding to the seller, which provides structured and unstructured data related to interior design, such as interior construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews. When the interior data is transmitted to the server, the interior data is provided to buyers who purchase the data through the web and applications.

In the embodiment, an interior big data exchange platform is provided where consumers, who are buyers, view construction summary data through the web or app, pay the amount set by the seller, and then view estimates, contracts, and schedules.

In an embodiment, interior data can be purchased from data providers centered on a data exchange, and the data can be sold to interior design companies or general consumers who want to do interior design. The server that collects and sells data processes data collected through various channels from various suppliers and recommends data desired by consumers based on price, contractor, location, and review information standards. Among the recommended data, estimates, contracts, schedules, etc. Data of interest, including payment details, can be sold for a fee.

In an embodiment, after confirming the desired interior construction, company, and cost through the first quotation among the data, a second quotation that can confirm how the actual interior can be done can be generated and sold additionally. In the embodiment, the second quotation provides a QR code, etc., so that the interior results can be checked. The interior results according to the embodiment are in a metaverse format, allowing the visual image of the results to be confirmed in the form of a 3D bird's eye view.

In addition, the secondary quotation provided in the example includes additional comparison information with other interior design companies, allowing consumers to confirm that the calculated cost is a reasonable price.

In addition, in the embodiment, it is possible to change the construction details by entering the metaverse through the secondary quotation and checking the 3D bird's eye view, and when the construction details are changed, the cost on the secondary quotation can be automatically changed. This allows consumers to immediately check the final cost if they change everything to the desired interior design within the metaverse.

The interior data transaction system according to the embodiment includes a data provider terminal that provides structured and unstructured interior data related to interior, such as construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews; We collect interior data from data provider terminals and recommend customized interior data to consumers based on selection criteria including price, contractor, location, and review information. Among the recommended data, data of interest includes quotations, contracts, schedules, and payment details. creates a server; and a data consumer terminal that purchases consumer-customized interior data or interest data from the server; Includes.

The interior data transaction method according to another embodiment is (A) structured and unstructured interior data related to the interior, such as construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews, at the supplier terminal. providing steps; (B) The server collects interior data from data provider terminals, recommends customized interior data to consumers based on selection criteria including price, contractor, location, and review information, and includes quotations, contracts, schedules, and payment details among the recommended data. Generating data of interest including; and (C) purchasing customized interior data or interest data from the server at the consumer terminal; Includes.

The interior data trading system and method described above is an interior big data exchange that allows consumers (buyers) to view construction summary data on the web and app, pay the amount set by the seller, and then view the quote, contract, and schedule. By providing transparent data-based interior information gap, it is possible to bridge the gap.

Through this, a satisfactory interior construction culture can be established and new profits can be generated by receiving commissions in return for paying digital data to interior design companies and consumers.

In addition, it allows consumers to visually check the interior design results on the secondary quotation provided in the embodiment through the metaverse and quickly and accurately check the reasonable cost when all changes are made to the desired interior form within the metaverse.

In addition, in the past, interior reviews were not transparently disclosed, so companies often did not respond to defects and repairs. However, through this example, transparent reviews were disclosed to establish a culture of repairing defects after interior construction. .

The effects of the present invention are not limited to the effects described above, and should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present invention.

1 is a diagram showing the configuration of an interior data transaction system according to an embodiment
Figure 2 is a diagram showing the data processing configuration of a server according to an embodiment
Figure 3 is a diagram showing the data processing configuration of the quote generation module 220 according to an embodiment.
Figure 4 is a diagram showing the interior result space on the metaverse according to an embodiment
Figure 5 is a diagram showing the signal flow of the interior data transaction system according to an embodiment
Figure 6 is a diagram showing the data processing process of the server according to an embodiment
Figure 7 is a diagram showing the quotation generation process according to an embodiment

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide common knowledge in the technical field to which the present invention pertains. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

In describing embodiments of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. The terms described below are terms defined in consideration of functions in embodiments of the present invention, and may vary depending on the intention or custom of the user or operator. Therefore, the definition should be made based on the contents throughout this specification.

Figure 1 is a diagram showing the configuration of an interior data transaction system according to an embodiment.

Referring to FIG. 1, an interior data transaction system according to an embodiment may be configured to include a data provider terminal 100, a server 200, and a data consumer terminal 300. In embodiments, data providers may be organizations and individuals that can provide interior-related information, including consumers, interior design companies, construction companies, the Ministry of Land, Infrastructure and Transport, and the National Tax Service. The data provider terminal 100 provides structured and unstructured interior data related to the interior, such as construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews. The server 200 collects interior data from the data provider terminal 100 and recommends customized interior data to consumers based on selection criteria including price, contractor, location, and review information. In addition, among the recommended data, data of interest including quotations, contracts, schedules, and payment details are generated and provided to the data consumer terminal 300. In the embodiment, the data consumer 300 may be an institution or individual that needs interior design data, such as an interior design company, consumer, institution, or research institute. The data consumer terminal 300 purchases consumer-customized interior data or data of interest from the server 200.

In the embodiment, the terminals 100 and 300 may be implemented as computers capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop equipped with a navigation system and a web browser, a desktop, a laptop, etc. At this time, at least one purchaser terminal 100 may be implemented as a terminal that can connect to a remote server or terminal through a network. The terminals 100 and 300 are, for example, wireless communication devices that ensure portability and mobility, and include navigation, personal communication system (PCS), global system for mobile communications (GSM), personal digital cellular (PDC), and personal handyphone (PHS). System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smart It may include all types of handheld wireless communication devices such as smartphones, smartpads, tablet PCs, etc.

The interior data transaction system and method according to the embodiment is an interior design company corresponding to the seller, which provides structured and unstructured data related to interior design, such as interior construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews. When the interior data is transmitted to the server, the buyer purchases the data through the web and applications, and the purchased interior data is provided to the data purchaser's terminal.

We provide an interior big data exchange platform where consumers, who are buyers, can view construction summary data through the web or app, pay the amount set by the seller, and then view estimates, contracts, and schedules.

In an embodiment, interior data can be purchased from data providers centered on a data exchange, and the data can be sold to interior design companies or general consumers who want to do interior design. The server that collects and sells data processes data collected through various channels from various suppliers and recommends data desired by consumers based on price, contractor, location, and review information standards. Among the recommended data, estimates, contracts, schedules, etc. Data of interest, including payment details, can be sold for a fee.

In an embodiment, after confirming the desired interior construction, company, and cost through the first quotation among the data, a second quotation that can confirm how the actual interior can be done can be generated and sold additionally. In the embodiment, the second quotation provides a QR code, etc., so that the interior results can be checked. The interior results according to the embodiment are in a metaverse format, allowing the visual image of the results to be confirmed in the form of a 3D bird's eye view.

In addition, the secondary quotation provided in the example includes additional comparison information with other interior design companies, allowing consumers to confirm that the calculated cost is a reasonable price.

In addition, in the embodiment, it is possible to change the construction details by entering the metaverse through the secondary quotation and checking the 3D bird's eye view, and when the construction details are changed, the cost on the secondary quotation can be automatically changed. This allows consumers to immediately check the final cost if they change everything to the desired interior design within the metaverse.

Figure 2 is a diagram showing the data processing configuration of a server according to an embodiment.

Referring to FIG. 2, the server 200 according to the embodiment includes a data collection module 210, a quotation generation module 220, an AR provision module 230, a post-construction service module 240, a calculation module 250, It may be configured to include a review evaluation module 260. In an embodiment, the data processing configuration of the server 200 may be the data processing configuration of the interior data transaction application transmitted through the server. The term 'module' used in this specification should be interpreted to include software, hardware, or a combination thereof, depending on the context in which the term is used. For example, software may be machine language, firmware, embedded code, and application software. As another example, hardware may be a circuit, processor, computer, integrated circuit, integrated circuit core, sensor, Micro-Electro-Mechanical System (MEMS), passive device, or a combination thereof.

The data collection module 210 collects construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews from data providers including consumers, interior design companies, construction companies, the Ministry of Land, Infrastructure and Transport, and the National Tax Service. Collects structured and unstructured interior data related to interior design.

The quotation generation module 220 generates a first quotation containing customized interior data for the consumer, interior construction costs desired by the consumer, and company cost information according to selection criteria including price, contractor, location, and review information, and generates a quotation and contract. , generate a secondary quotation that visually provides data of interest, including schedule and payment details, and the actual interior results. For example, the quotation generation module 220 receives information on apartments/wallpaper/flooring/less than 20 million won, a list of interior design companies specializing in specific spaces, and information or reviews of excellent contractors as selection criteria, filters the interior data desired by the consumer, and generates a first quotation. You can create and provide it.

The AR provision module 230 implements 3D augmented reality based on the interior quotation, generates a bird's eye view, matches the augmented reality and the bird's eye view to the construction address through the camera of the smart device, and displays the result after interior completion using an HMD device. Augmented reality can be provided through included smart devices.

The post-construction service module 240 can compare the metaverse created as an interior result after completion of construction with the space where the actual construction was completed and provide the comparison results to the customer. For example, when a construction consumer inputs an actual completed image taken of a space where construction has been completed into the application, the actual completed image input can be compared with the predicted completed image generated by Metaverse. In an embodiment, the matching rate can be calculated by comparing the props, finishing materials, colors, finishing conditions, object sizes, angles, etc. used in the interior in the two images and provided to the consumer. Additionally, in an embodiment, the image area may be divided, and each of the divided images may be compared to extract an area where the match rate is below a certain level and notify the consumer of this. In an embodiment, specific differences between the actual completed image and the predicted completed image in the area where the match rate is below a certain level may be extracted and provided. For example, a comparison result can be provided by comparing the type, color, and finishing condition of interior accessories included in a specific area between the actual completed image and the predicted completed image.

The calculation module 250 calculates the sales amount of the processed interior data according to the type and demand of the processed interior data. For example, the sales amount calculation module 250 may calculate a different data sales amount depending on the type of data of interest included in the secondary quotation and whether or not a link that visually provides the interior design results is included. In addition, the expected level of demand, including the number of preview accesses and purchase requests of the processed interior data, is identified, and if the identified expected demand level exceeds a certain level, a certain percentage of the set sales amount is adjusted upward to 2. The interior data sales amount including the quotation can be calculated. Additionally, in the embodiment, the data sales amount can be calculated according to the type of information included in the first quotation and the information filtering criteria selected by the consumer when generating the first quotation.

Additionally, the calculation module 250 can calculate the amount of data to be provided in the form of a reward to the public donor during the process of collecting interior data from the data provider. For example, the calculation module 250 determines the data value, including the size, specificity, and scarcity of the data provided by the provider through artificial intelligence big data analysis, and sets the amount of data provided as compensation to the provider according to the identified data value. It can be calculated.

The review evaluation module 260 collects construction reviews written by consumers after completion of interior construction, analyzes the collected construction reviews quantitatively and qualitatively, and extracts review information that will be helpful to other consumers according to the analysis results. Additionally, in an embodiment, the review evaluation module 260 may calculate a reward to be provided to a user who wrote a review according to an analysis result of an interior design company's review and provide the calculated reward to the user who wrote a review.

In embodiments, text analysis included in user reviews may be performed through quantitative analysis and qualitative analysis. Quantitative analysis determines the number of reviews registered by consumers and the number of characters in the text, and calculates the rewards provided to users who have registered reviews in proportion to the number of reviews registered and the number of text characters. Qualitative analysis is to identify the authenticity, causality, and probability of registered quantitative analysis reviews through text-entailment recognition to determine whether the registered reviews can help evaluate interior design companies. In an embodiment, if the qualitative analysis of the registered review results in a high value for the causality and probability of the text, a reward provided to the user who registered the review can be calculated in proportion to the calculated value.

Figure 3 is a diagram showing the data processing configuration of the quotation generation module 220 according to an embodiment.

Referring to FIG. 3, the quotation generation module 220 according to the embodiment may be configured to include a result space creation unit 221, a customization unit 222, and a quotation modification unit 223. The result space creation unit 221 generates the interior result as a metaverse space.

In the embodiment, the result space creation unit 221 generates the result after interior construction requested by the consumer as a metaverse space, as shown in FIG. 4, and the consumer can visually check this through a smart terminal including an HMD device. Let it happen.

The customizing unit 222 provides changeable object information included in the metaverse space and changes the object according to consumer selection. For example, consumers can enter the Metaverse through a secondary quotation, customize and change construction details while checking a 3D bird's eye view. Specifically, all interior elements can be customized to the consumer's taste, such as changing the current wallpaper to a different color wallpaper or changing the marble floor to solid wood. In the embodiment, when the construction details are changed, the cost on the second quotation is automatically changed, allowing the consumer to immediately check the final cost when all changes have been made to the desired interior type within the metaverse.

The quotation modification unit 223 recalculates the cost for the customized interior results.

Below, we will explain the interior data transaction methods in turn. Since the operation (function) of the interior data transaction method according to the embodiment is essentially the same as the function of the counterfeit product detection system, descriptions overlapping with FIGS. 1 to 4 will be omitted.

Figure 5 is a diagram showing the signal flow of an interior data transaction system according to an embodiment.

Referring to FIG. 5, in step S100, structured and unstructured interior data related to the interior, such as construction details, constructor, company information, photos, videos, actual quotation, actual contract, actual schedule, and reviews, is input at the data provider terminal. In step S200, the server collects interior data from the data provider terminal, and processes the collected interior data in step S300. For example, in the S300 stage, customized interior data is recommended to consumers based on selection criteria including price, contractor, location, and review information, and data of interest including quotations, contracts, schedules, and payment details can be generated from the recommended data. . In step S400, when the consumer terminal purchases consumer-customized interior data or interest data from the server, in step S500, the consumer-customized interior data or interest data is transmitted from the purchased server to the data consumer terminal.

Figure 6 is a diagram showing a data processing process of a server according to an embodiment.

Referring to Figure 6, in step S310, construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews are received from data providers including consumers, interior design companies, construction companies, the Ministry of Land, Infrastructure and Transport, and the National Tax Service. Collect structured and unstructured interior data related to the interior. In the S320 stage, a first quotation is generated that includes consumer-customized interior data, interior construction costs desired by the consumer, and company cost information according to selection criteria including price, contractor, location, and review information, and quotation, contract, schedule, and payment are generated. Create a secondary quote that visually provides data of interest including details and the actual interior results. For example, in the S320 stage, the list of interior companies specializing in apartments/wallpaper/less than 20 million won for a specific space and information or reviews of excellent contractors are input as selection criteria, and the interior data desired by the consumer is filtered to generate a first quotation. can be provided.

In the S330 stage, 3D augmented reality is implemented based on the interior quotation, a bird's eye view is created, and the augmented reality and bird's eye view are matched to the construction address through the camera of the smart device, and the result after construction completion is augmented reality, including HMD devices. It can be checked through a smart device. In the S340 stage, the metaverse created as an interior result after construction is completed is compared with the space where the actual construction was completed, and the comparison results are provided to the customer. For example, when a construction consumer inputs an actual completed image taken of a space where construction has been completed into the application, the actual completed image input can be compared with the predicted completed image generated by Metaverse. In an embodiment, the matching rate can be calculated by comparing the props, finishing materials, colors, finishing conditions, object sizes, angles, etc. used in the interior in the two images and provided to the consumer. Additionally, in an embodiment, the image area may be divided, each of the divided images may be compared to extract an area where the match rate is below a certain level, and information on the extracted area may be provided to the consumer. Additionally, in the embodiment, specific differences between the actual completed image and the predicted completed image in the area where the matching rate is below a certain level may be extracted and provided. For example, specific comparison results can be provided by comparing the type, color, and finishing condition of interior accessories included in a specific area between the actual completed image and the predicted completed image.

In step S350, the sales amount of the processed interior data is calculated according to the type and demand of the processed interior data. For example, different data sales amounts can be calculated depending on the type of data of interest included in the secondary quotation and whether or not a link that visually provides the interior design results is included. In addition, the expected level of demand, including the number of preview accesses and purchase requests of the processed interior data, is identified, and if the identified expected demand level exceeds a certain level, a certain percentage of the set sales amount is adjusted upward to 2. The interior data sales amount including the quotation can be calculated. Additionally, in the embodiment, the data sales amount can be calculated according to the type of information included in the first quotation and the information filtering criteria selected by the consumer when generating the first quotation. Additionally, in the S350 stage, the amount of data to be provided in the form of a reward to the public donor can be calculated during the interior data collection process from the data provider. For example, through artificial intelligence big data analysis, the data value including the size, specificity, and scarcity of the data provided by the provider can be identified, and the amount of data provided as compensation to the provider can be calculated according to the identified data value.

In the S360 stage, construction reviews written by consumers are collected after interior construction is completed, the collected construction reviews are analyzed quantitatively and qualitatively, and review information that will be helpful to other consumers is extracted according to the analysis results. Additionally, in an embodiment, the review evaluation module 260 may calculate a reward to be provided to a user who wrote a review according to an analysis result of an interior design company's review and provide the calculated reward to the user who wrote a review. In embodiments, text analysis included in user reviews may be performed through quantitative analysis and qualitative analysis. Quantitative analysis determines the number of reviews registered by consumers and the number of characters in the text, and calculates the rewards provided to users who have registered reviews in proportion to the number of reviews registered and the number of text characters. Qualitative analysis is to identify the authenticity, causality, and probability of registered quantitative analysis reviews through text-entailment recognition to determine whether the registered reviews can help evaluate interior design companies. In an embodiment, if the qualitative analysis of the registered review results in a high value for the causality and probability of the text, a reward provided to the user who registered the review can be calculated in proportion to the calculated value.

Figure 7 is a diagram showing the quotation generation process according to an embodiment.

Referring to FIG. 7, in step S321, the interior result is created in the metaverse space, and in step S322, changeable interior object information is provided in the created metaverse space. In step S323, the space is customized by changing objects according to the consumer's choice, and in step S324, the cost for the customized interior results is recalculated. For example, consumers can enter the Metaverse through a secondary quotation, customize and change construction details while checking a 3D bird's eye view. Specifically, all interior elements can be customized to the consumer's taste, such as changing the current wallpaper to a different color wallpaper or changing the marble floor to solid wood. In the embodiment, when the construction details are changed, the cost on the second quotation is automatically changed, allowing the consumer to immediately check the final cost when all changes have been made to the desired interior type within the metaverse.

The interior data trading system and method described above provides an interior big data exchange where consumers (buyers) view construction summary data on the web and app, pay the amount set by the seller, and then view estimates, contracts, and schedules. , to bridge the interior information gap based on transparent data.

Through this, a satisfactory interior construction culture can be established and new profits can be generated by receiving commissions in return for paying digital data to interior design companies and consumers. In addition, it allows consumers to visually check the interior design results on the secondary quotation provided in the embodiment through the metaverse and quickly and accurately check the reasonable cost when all changes are made to the desired interior form within the metaverse. In addition, in the past, interior reviews were not transparently disclosed, so companies often did not respond to defects and repairs. However, through this example, transparent reviews were disclosed to establish a culture of repairing defects after interior construction. .

The disclosed content is merely an example and can be modified and implemented in various ways by those skilled in the art without departing from the gist of the claims, so the scope of protection of the disclosed content is limited to the above-mentioned specific scope. It is not limited to the examples.

Claims (10)

In the interior data transaction system,
A data provider terminal that provides structured and unstructured interior data related to interior design, such as construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews;
Interior data is collected from the data provider terminal, and customized interior data is recommended to consumers according to selection criteria including price, contractor, location, and review information, and among the recommended data, interests including quotations, contracts, schedules, and payment details are included. The server that generates the data; and
A data consumer terminal that purchases consumer-customized interior data or interest data from the server; Interior data transaction system including.
The system of claim 1, further comprising: the server; Is
Structured and unstructured information related to interior design, including construction details, constructor and company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews, from data providers including consumers, interior design companies, construction companies, the Ministry of Land, Infrastructure and Transport, and the National Tax Service. A data collection module that collects interior data;
Based on selection criteria including price, contractor, location, and review information, a first quotation is generated that includes customized interior data, the interior construction cost desired by the consumer, and company cost information, and includes the quotation, contract, schedule, and payment details. A quotation generation module that generates a secondary quotation that visually provides data of interest and actual interior results; An interior data transaction system comprising:
The method of claim 2, further comprising: the quotation generating module; silver
A result space creation unit that generates the interior results as a metaverse space;
a customizing unit that provides changeable object information included in the metaverse space and changes the object according to consumer selection; and
A quotation revision unit that recalculates the cost of customized interior results; An interior data transaction system comprising:
The system of claim 2, further comprising: the server; Is
An AR provision module that implements 3D augmented reality based on the interior quotation, generates a bird's eye view, and then matches the augmented reality and bird's eye view to the construction address through the camera of a smart device; An interior data transaction system further comprising:
The system of claim 2, further comprising: the server; Is
A post-construction service module that compares the metaverse created as an interior result after completion of construction with the actual construction completed space and provides comparison results to the customer; An interior data transaction system further comprising:
In the interior data transaction method,
(A) Providing structured and unstructured interior data related to the interior, such as construction details, constructor, company information, photos, videos, actual quotation, actual contract, actual schedule, and reviews, at the data provider terminal;
(B) The server collects interior data from the data provider terminal and recommends customized interior data to consumers according to selection criteria including price, contractor, location, and review information, and among the recommended data, quote, contract, schedule, and payment Generating data of interest including details; and
(C) purchasing customized interior data or data of interest from the server at the data consumer terminal; Interior data transaction method including.
The method of claim 6, wherein step (B); Is
(B-1) Interior design information including construction details, constructor, company information, photos, videos, actual estimates, actual contracts, actual schedules, and reviews from data providers including consumers, interior design companies, construction companies, the Ministry of Land, Infrastructure and Transport, and the National Tax Service. Collecting related structured and unstructured interior data;
(B-2) Generating a first quotation including consumer-customized interior data, interior construction costs desired by the consumer, and company cost information according to selection criteria including price, contractor, location, and review information; and
(B-3) Creating a secondary quotation that visually provides data of interest including quotation, contract, schedule, and payment details and the actual interior results; An interior data transaction method comprising:
The method of claim 7, wherein the step (B-3); Is
A step of creating interior results as a metaverse space;
providing changeable object information included in the metaverse space and changing the object according to consumer selection; and
A step of recalculating the cost of customized interior results; An interior data transaction method comprising:
The method of claim 7, wherein step (B); Is
(B-4) Implementing 3D augmented reality based on the interior quotation, generating a bird's eye view, and then matching the augmented reality and bird's eye view to the construction address through the camera of the smart device; An interior data transaction method further comprising:
The method of claim 7, wherein step (B); Is
A step of comparing the metaverse created as an interior result after completion of construction with the space where the actual construction was completed and providing the comparison results to the customer; An interior data transaction method further comprising: