WO2023224338A1 - Procédé de génération et de gestion de données de distribution de produit dans des métavers et dispositif pour la mise en œuvre de ce procédé - Google Patents

Procédé de génération et de gestion de données de distribution de produit dans des métavers et dispositif pour la mise en œuvre de ce procédé Download PDF

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WO2023224338A1
WO2023224338A1 PCT/KR2023/006549 KR2023006549W WO2023224338A1 WO 2023224338 A1 WO2023224338 A1 WO 2023224338A1 KR 2023006549 W KR2023006549 W KR 2023006549W WO 2023224338 A1 WO2023224338 A1 WO 2023224338A1
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product
metaverse
data
type
distribution data
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PCT/KR2023/006549
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English (en)
Korean (ko)
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강정석
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주식회사 에이젠글로벌
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/36—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/36—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes
    • G06Q20/367—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes involving electronic purses or money safes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0641—Shopping interfaces
    • G06Q30/0643—Graphical representation of items or shoppers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees

Definitions

  • the present invention relates to a method for generating and managing product distribution data on the metaverse and a device for performing this method. More specifically, it relates to a method of generating and managing product distribution data on a metaverse to provide metaverse-based product distribution services and financial services, and a device for performing such a method.
  • the basis for various communication activities, including finance, can move from the mobile environment to the metaverse (virtual world).
  • the metaverse environment When a metaverse environment is established, the visual constraints of smartphone displays can be liberated, and communication methods can also expand from touch to voice or movement.
  • Metaverse technology can be used not only in the financial industry but also in distribution such as logistics. Metaverse technology enables more accurate and intuitive judgments about the distribution and status of products, and it is also possible to create new services by applying Metaverse to these various fields.
  • the purpose of the present invention is to solve all of the above-mentioned problems.
  • the present invention aims to generate and manage product distribution data on the metaverse.
  • the purpose of the present invention is to generate and manage product distribution data so that the movement of products on the supply chain can be managed and confirmed on the metaverse based on NFT or FT, considering whether product identification is necessary.
  • a representative configuration of the present invention to achieve the above object is as follows.
  • a method of generating and managing product distribution data on the metaverse involves a first metaverse implementation device generating NFT (non-fungible token)-based product distribution data for a first type product. Step, the first metaverse implementation device generates FT (fungible token)-based product distribution data for a second type product and the first metaverse implementation device generates the NFT-based product distribution data and the FT-based product distribution data. It may include the step of implementing the first metaverse related to the supply chain service based on product distribution data.
  • the first type product may be a product that requires identification of individual products
  • the second type product may be a product that does not require identification of individual products.
  • the NFT is moved through the wallet in the product production procedure (first type product), product storage procedure (first type product), and product sales procedure (first type product), and the FT is used in the product production procedure (second type product).
  • type product product storage procedures (second type product), and product sales procedures (second type product).
  • a first metaverse implementation device for generating and managing product distribution data on the metaverse generates NFT (non-fungible token)-based product distribution data for a first type product, and It is possible to generate FT (fungible token)-based product distribution data for type 2 products, and implement the first metaverse related to supply chain services based on the NFT-based product distribution data and the FT-based product distribution data.
  • the first type product may be a product that requires identification of individual products
  • the second type product may be a product that does not require identification of individual products.
  • the NFT is moved through the wallet in the product production procedure (first type product), product storage procedure (first type product), and product sales procedure (first type product), and the FT is used in the product production procedure (second type product).
  • type product product storage procedures (second type product), and product sales procedures (second type product).
  • product distribution data can be created and managed on the metaverse.
  • product distribution data can be generated and managed to manage and confirm the movement of products on the supply chain on the metaverse based on NFT or FT, considering whether product identification is necessary.
  • Figure 1 is a conceptual diagram showing a metaverse implementation system according to an embodiment of the present invention.
  • Figure 2 is a conceptual diagram showing a first metaverse implementation device according to an embodiment of the present invention.
  • Figure 3 is a conceptual diagram showing a second metaverse implementation device according to an embodiment of the present invention.
  • Figure 4 is a conceptual diagram showing a metaverse implementation method based on a plurality of servers included in the first data processing server group according to an embodiment of the present invention.
  • Figure 5 is a conceptual diagram showing a plurality of servers included in a second data processing server group according to an embodiment of the present invention.
  • Figure 6 is a conceptual diagram showing a data processing method on a blockchain according to an embodiment of the present invention.
  • Figure 7 is a conceptual diagram showing the operation of the metaverse data processing unit according to an embodiment of the present invention.
  • Figure 8 is a conceptual diagram showing the operation for linking between metaverses according to an embodiment of the present invention.
  • Figure 9 is a conceptual diagram showing a method for generating and managing product distribution data according to an embodiment of the present invention.
  • Figure 10 is a conceptual diagram showing a method for managing product distribution data on a blockchain according to an embodiment of the present invention.
  • Figure 11 is a conceptual diagram showing a method for managing product data on a blockchain according to an embodiment of the present invention.
  • Figure 1 is a conceptual diagram showing a metaverse implementation system according to an embodiment of the present invention.
  • the metaverse implementation system includes a first metaverse implementation device 110, a second metaverse implementation device 120, an inter-metaverse interlocking network implementation device 150, a supply chain service device 130, and May include a financial service device 140.
  • the first metaverse implementation device 110 may be implemented for a metaverse related to supply chain services.
  • the metaverse related to supply chain services can be expressed in terms of the first metaverse 116.
  • the first metaverse 116 is linked to the first blockchain network 113, and processing of some data can be performed based on the first blockchain network 113.
  • the second metaverse implementation device 120 may be implemented for a metaverse related to financial services.
  • the metaverse related to financial services can be expressed in terms of the second metaverse 126.
  • the second metaverse 126 is linked to the second blockchain network 123, and processing of some data may be performed based on the second blockchain network 123.
  • the inter-metaverse interconnection network implementation device 150 may be implemented for interconnection between the first metaverse 116 and the second metaverse 126. Interconnection between metaverses involves a process on the second metaverse 126 based on the first metaverse data generated in the first metaverse 116 and the second metaverse data generated in the second metaverse 126. It can be performed for a process on the first metaverse 116 based on it.
  • the device 150 for implementing interconnection networks between metaverses can define a separate third blockchain network 155 for interconnection between metaverses.
  • the supply chain service device 130 is a device that provides supply chain-based services.
  • the supply chain service device 130 can generate product distribution data generated on the supply chain.
  • Supply chain data can generate product distribution actions on the first metaverse 116 and change the metaverse environment. Additionally, at least one piece of supply chain data may be recorded on the first blockchain network 113.
  • the financial service device 140 is a device that provides financial services.
  • the financial service device 140 may generate financial service data generated from financial services.
  • Financial service data can generate financial actions on the second metaverse 126 and change the metaverse environment. Additionally, at least one piece of financial service data may be recorded on the second blockchain network 123.
  • Figure 2 is a conceptual diagram showing a first metaverse implementation device according to an embodiment of the present invention.
  • the first metaverse implementation device includes a first data processing server group 210, a first metaverse data processing server group 220, a first metaverse data processing unit 230, and a first blockchain network. It may include 240 and a first metaverse environment implementation unit 250.
  • the first data processing server group 210 may include a data processing server that processes supply chain data generated on the supply chain service.
  • Supply chain services provide services related to product distribution such as production, sales, storage, distribution, and purchasing of products, and can collect and process supply chain data, which is data generated during product distribution.
  • a plurality of data processing servers included in the first data processing server group 210 may be layered, and data of the data processing servers collected for each layer may be selectively utilized to implement a metaverse.
  • the first metaverse environment implementation unit 250 may implement a supply chain service on the metaverse based on data generated by at least one data processing server located in each layer.
  • data generated in the first data processing server group 210 is expressed as first data.
  • the first metaverse data processing server group 220 may be implemented to process necessary data on the metaverse.
  • the first metaverse data processing server group 220 may process the first data generated by the first data processing server group 210 to generate first metaverse data.
  • Each of the plurality of metaverse data processing servers included in the first metaverse data processing server group 220 may be linked with each of the plurality of data processing servers included in the first data processing server group 210.
  • Each of the plurality of data processing servers transmits data to each of the plurality of linked metaverse data processing servers, and each of the plurality of metaverse data processing servers processes the received data to generate first metaverse data.
  • the first metaverse data generated in the first metaverse data processing server group 220 may be transmitted to the first metaverse data processing unit 230.
  • the first metaverse data processing unit 230 receives the first metaverse data and processes the first metaverse data into the first blockchain network 240 and the first metaverse environment implementation unit 250. data can be transmitted. Specifically, the first metaverse data processing unit 230 classifies the first metaverse data into data to be recorded on the first blockchain network 240 and data to be recorded in the first metaverse environment implementation unit 250. can do.
  • the processed data can be transmitted in real time or periodically to the first blockchain network 240 and the first metaverse environment implementation unit 250.
  • the first blockchain network 240 may be implemented to receive first metaverse data and record the first metaverse data on the blockchain.
  • the first blockchain network includes a smart contract for processing the first metaverse data, and can implement the metaverse environment by processing the first metaverse data based on the stored smart contract.
  • the first metaverse environment implementation unit 250 may implement the first metaverse environment based on the first metaverse data.
  • the first metaverse environment may be an environment on the metaverse corresponding to the supply chain.
  • the first metaverse environment may include a commonly implemented first common metaverse environment, an individual user, and a first individual metaverse environment for an individual user group. Through the first metaverse environment, users can confirm in the metaverse space that supply chain services for products are provided, and expansion to other services (for example, financial services) based on the supply chain confirmed on the metaverse is possible. It can be done.
  • Figure 3 is a conceptual diagram showing a second metaverse implementation device according to an embodiment of the present invention.
  • the second metaverse implementation device includes a second data processing server group 310, a second metaverse data processing server group 320, a second metaverse data processing unit 330, and a second blockchain network. It may include 340 and a second metaverse environment implementation unit 350.
  • the second data processing server group 310 may include a data processing server that processes data generated on financial services.
  • Financial services include financial-related services such as loans, interest rates, repayments, investments, deposits, etc., and can collect and process financial data, which is data generated from financial services.
  • a plurality of data processing servers included in the second data processing server group 310 may be layered, and data of the data processing servers collected for each layer may be selectively utilized to implement a metaverse.
  • the second metaverse environment implementation unit 350 may implement financial services on the metaverse based on data generated by at least one data processing server located in each layer.
  • data generated in the second data processing server group 310 is expressed as second data.
  • first data processing server group There is a network between the above-described first data processing server group and the second data processing server group 310, and mutual exchange of data will occur on the network between the first data processing server group and the second data processing server group 310.
  • mutual exchange of data may occur between the first metaverse environment and the second metaverse environment.
  • the exchanged data can be delivered in a separate format to a device that implements an inter-metaverse interconnection network to enable interaction between metaverses.
  • the second metaverse data processing server group 320 may be implemented to process necessary data on the metaverse.
  • the second metaverse data processing server group 320 may process the second data generated by the second data processing server group 310 to generate second metaverse data.
  • Each of the plurality of metaverse data processing servers included in the second metaverse data processing server group 320 may be linked with each of the plurality of data processing servers included in the second data processing server group 310.
  • Each of the plurality of data processing servers transmits data to each of the plurality of linked metaverse data processing servers, and each of the plurality of metaverse data processing servers processes the received data to generate second metaverse data.
  • the second metaverse data generated in the second metaverse data processing server group 320 may be transmitted to the second metaverse data processing unit 330.
  • the second metaverse data processing unit 330 receives the second metaverse data and processes the second metaverse data into the second blockchain network 340 and the second metaverse environment implementation unit 350. data can be transmitted. Specifically, the second metaverse data processing unit 330 classifies the second metaverse data into data to be recorded on the second blockchain network 340 and data to be recorded in the second metaverse environment implementation unit 350. can do.
  • the processed data in real time or periodically may be transmitted to the second blockchain network 340 and the second metaverse environment implementation unit 350.
  • the second blockchain network 340 may be implemented to receive second metaverse data and record the second metaverse data on the blockchain.
  • the second blockchain network 340 includes a smart contract for processing second metaverse data, and can implement a metaverse environment by processing the second metaverse data based on the stored smart contract.
  • the second metaverse environment implementation unit 350 may implement the metaverse environment based on the second metaverse data.
  • the second metaverse environment may be an environment on the metaverse corresponding to financial services.
  • the second metaverse environment may include a commonly implemented second common metaverse environment, an individual user, and a second individual metaverse environment for individual user groups. Through the second metaverse environment, users can confirm in the metaverse space that financial services are being performed, and expansion to other services (for example, supply chain services) based on financial services confirmed on the metaverse can be made. .
  • Figure 4 is a conceptual diagram showing a metaverse implementation method based on a plurality of servers included in the first data processing server group according to an embodiment of the present invention.
  • the first data processing server group for the supply chain service may be first stratified 400 into first to nth layers from the lower layer to the upper layer.
  • the plurality of data processing servers may be servers that collect supply chain data occurring on the supply chain, and the hierarchy of the plurality of data processing servers may be determined by considering the occurrence of data on the supply chain.
  • activities such as production, sales, storage, distribution, and purchasing can occur sequentially. These actions on the supply chain can be accomplished by passing data from the lower layer to the upper layer.
  • the first layer 410 is a production layer
  • the second layer 420 is a sales layer
  • the third layer 430 is a storage layer
  • the fourth layer 440 is a distribution layer
  • the fifth layer 450 is set as a purchasing layer, and the process from when a product is produced to being delivered to the buyer through the sales process can be stratified.
  • Production, sales, storage, distribution, and purchasing are examples of activities that occur in the supply chain, and activities that occur in the supply chain can be defined in various other service stages.
  • a plurality of data processing servers within the same layer may be reclassified by metaverse environment or may be secondary layered (460).
  • the metaverse environment has various dimensions, such as metaverse 1 (470) for seller A, metaverse 2 (480) for seller group A including seller A, and metaverse 3 (490) for all sellers. It can be implemented as:
  • the metaverse environment may be implemented in various dimensions, such as metaverse 4 for product A that is not the seller, metaverse 5 for product group A including product A, and metaverse 6 for all products.
  • the metaverse environment can be implemented in various ways depending on the variables (e.g., seller, product) and variable settings (single variable, group of variables, all variables, etc.) that implement the metaverse environment, and in order to implement the metaverse environment, Data processing servers of the same layer may be reclassified and secondary layered (460).
  • variables e.g., seller, product
  • variable settings single variable, group of variables, all variables, etc.
  • a method for implementing metaverse 1 and metaverse 2 for seller A and seller group A, respectively, is disclosed as an example.
  • Data processing servers related to seller a may be classified and grouped.
  • Seller A sells products through Coupang or Naver Smart Store
  • data processing server 1 corresponding to Coupang and data processing server 2 corresponding to Naver Smart Store are classified as data processing servers for implementing Metaverse 1 (470). can be grouped.
  • the first data 475 generated corresponding to the seller in each of Server 1 and Server 2 may be collected from the first data processing server group and transmitted to the first metaverse data processing server group.
  • First metaverse data for creating metaverse 1 (470) is generated in the first metaverse data processing server group, and the first metaverse data may be transmitted to the first metaverse data processing unit.
  • Servers related to seller group a may be classified and grouped.
  • a seller group with similar sales characteristics to seller A may be seller group A.
  • Seller Group A can sell products on various platforms (Coupang, Naver Smart Store, 11th Street, G Market, etc.).
  • Each of a plurality of servers corresponding to various platforms may be classified and grouped as servers for implementing Metaverse 2 (480).
  • Metaverse 2 (480) is a structure that includes Metaverse 1 (470), and at least one server for Metaverse 1 (470) may be included within a plurality of servers for Metaverse 2 (480) or may exist in a layered manner. . At least one server that collects data for each of Seller A, Seller A1, Seller A2, Seller, and Seller A3 included in Seller Group A may be layered to form a server that collects data corresponding to Seller Group A.
  • first data generated corresponding to seller group A may be collected from the first data processing server group and transmitted to the first metaverse data processing server group.
  • First metaverse data for creating metaverse 2 480 is generated in the first metaverse data processing server group, and the first metaverse data may be transmitted to the first metaverse data processing unit.
  • data processing servers are layered or grouped according to settings, so that the metaverse environment for individual sellers, individual seller groups, individual products, product groups, etc. can be adaptively implemented as needed.
  • data transmission can be performed considering the metaverse structure for efficient processing of data.
  • the first data for metaverse 1 may be the first data for metaverse 2 and metaverse 3, which include metaverse 1 at the same time.
  • the first data for Metaverse 2 may be the first data for Metaverse 3 including Metaverse 2. Therefore, in order to prevent duplicate processing of data, selective transmission can be performed considering the relationship between metaverses based on the first layer header and the second layer header included in the header of the generated first data. The relationship between metaverses can be determined based on the first layer header and the second layer header, and metaverse data can be classified and transmitted to the metaverse environment implementation unit based on the first layer header and the second layer header.
  • Figure 5 is a conceptual diagram showing a plurality of servers included in a second data processing server group according to an embodiment of the present invention.
  • the second data processing server group 555 for financial services may be primarily stratified 500 into first to nth layers from the lower layer to the upper layer.
  • the plurality of servers may be data processing servers that collect financial service data generated on financial services, and the hierarchy of the plurality of servers may be determined by considering the generation of data on financial services.
  • activities such as lending, repayment (interest, principal), and delinquency may occur sequentially.
  • These financial service activities can be performed by transferring data from the lower layer to the upper layer.
  • the first layer is set as the loan layer 510
  • the second layer is set as the repayment layer 520
  • the third layer is set as the delinquency layer 530, so that the process of providing and completing financial services can be layered. .
  • loan, repayment, and delinquency are examples of actions that occur in financial services, and actions that occur in financial services may be defined by various other service stages.
  • metaverse environment Multiple servers within the same layer may be reclassified by metaverse environment or may be secondary layered (560).
  • the metaverse environment is diverse, such as metaverse 1 (570) for seller A, metaverse 2 (580) for seller group A including seller A, and metaverse 3 (590) for all sellers. It can be implemented dimensionally.
  • Seller A may be a seller selling women's clothes
  • Seller Group A may be a seller group including a plurality of sellers selling women's clothes.
  • the server for financial services can collect supply chain data in connection with the server layer for supply chain services and provide financial services based on the supply chain data.
  • a plurality of servers included in the second data processing server group 555 may be linked with a plurality of servers included in the first data processing server group 550 to provide financial services.
  • the second data processing server group 555 is subordinate to the first data processing server group 550 and receives not only financial service data, but also supply chain data for financial services to generate second data 575. You can.
  • the second data 575 is transmitted to the second metaverse data processing server group, and the second metaverse data processing server group generates metaverse 1 (570), metaverse 2 (580), and metaverse 3 (590). Second metaverse data may be created to do this. The second metaverse data may be transmitted to the second metaverse data processing unit.
  • Figure 6 is a conceptual diagram showing metaverse data generation according to an embodiment of the present invention.
  • the metaverse data processing server group can generate metaverse data to be transmitted to the metaverse data processing unit from among the received data.
  • Metaverse data can be created by adding metaverse header information to the received data according to settings at the time of creation.
  • the header 600 of metaverse data may include first and second layer information of the data processing server group, seller information, and product information.
  • the first layer information is layered information based on the above-described first layering and may include information about the first layer that generated the data.
  • the secondary layer information is layered information based on the above-described secondary layering and may include information about the secondary layer that generated the data.
  • Seller information may include information for classifying sellers who sell products and receive financial services on the supply chain.
  • Product information may include information for classifying products that are distributed and sold on the supply chain and are the basis of financial services.
  • the metaverse can be implemented based on various variables (seller, product, etc.), and a header 600 of metaverse data can be added to provide a metaverse environment that takes various variables into account.
  • the header 600 may include a first layer header 610, a second layer header 620, a product header 630, and a seller header 660, and the product header 630 and seller header 650, respectively. Can be divided into standard headers 640 and 670 and individual headers 650 and 680.
  • Each of the standard header 640 and individual header 650 of the product header 630 can be set to n header levels.
  • the standard header 640 may include n header levels for product classification defined as a standard for integration on different metaverses.
  • the individual header 650 may include n header levels for individually defined product classification to manage only a specific metaverse. Based on the standard header 640, a plurality of different supply chains and financial services can be integrated and implemented as a metaverse, but individual supply chains and individual financial services can be implemented adaptively as needed. Header 650 may be defined.
  • the n header levels of each of the standard header 640 and the individual header 650 of the product header 630 have a hierarchical structure, and each of the n header levels can have a higher concept as it is set to a higher layer.
  • the first header level of the standard header 640 may be set to include products such as pencils at the second header level, stationery at the second header level, and industrial products at higher levels.
  • the n header levels corresponding to the product header may change depending on settings, and changes in the header may occur according to these changes.
  • each of the standard header 670 and the individual header 680 of the seller header 660 can be set to m header levels.
  • the m header levels of the standard header 670 and the individual header 680 of the seller header 660 have a hierarchical structure, and each of the m header levels can have a higher concept as it is set to a higher layer.
  • the first header level of the standard header 670 includes seller A
  • the second header level includes the first seller group
  • the third header level includes the second seller group, etc. It can be set as a concept.
  • the m header levels corresponding to the seller header 660 may change depending on settings, and header changes may occur according to these changes.
  • Header levels that are not set for the product header 630 and seller header 660 can be left blank without separate settings, if necessary.
  • the standard headers 640 and 670 may be adjusted based on the use of the individual headers in relation to the standard headers 640 and 670 and the individual headers 650 and 680. For example, by considering individual headers (650, 680) used in a specific metaverse, information on the level of actually commonly used headers is reflected, so that standard headers (640, 670) can be adjusted to better fit the actual business classification. It may be possible. Additionally, in the case of the header, considering the metaverse implementation environment, a separate metaverse header may be additionally defined only for a specific metaverse environment and used separately for implementation of the metaverse only.
  • Figure 7 is a conceptual diagram showing the operation of the metaverse data processing unit according to an embodiment of the present invention.
  • the metaverse data processing unit can receive metaverse data and transmit the processed data to the blockchain network and metaverse environment implementation unit through processing of the metaverse data.
  • the Metaverse data processing department can classify Metaverse data into data to be recorded on the blockchain network and data to be recorded in the Metaverse environment implementation department.
  • the metaverse data processing unit may perform primary filtering (710) based on header information. First, considering the currently implemented metaverse environment, metaverse data that is not necessary for implementing the current metaverse environment can be removed. For example, if there is no separate request for a metaverse environment for seller B and product X, metaverse data for seller B and product X may be filtered.
  • the metaverse data processing unit can transmit the metaverse data to the metaverse environment implementation unit through metaverse data classification. For example, if the metaverse for Seller A and Seller Group A must be implemented, metaverse data corresponding to Seller A and Seller Group A must be classified through header filtering and transmitted to the Metaverse Environment Implementation Unit 730. You can.
  • the Metaverse data processing unit can generate a hash value by grouping the Metaverse data for recording on the blockchain and store the generated hash value on the blockchain network 740.
  • time units are set for each metaverse, and hash values for metaverse data collected for each time unit can be recorded on the blockchain network 740.
  • a first time unit for seller A and a second time unit for seller group A may be set.
  • Metaverse data for Seller A generated on the first time unit may be grouped and generated as a hash value along with Seller A's identification information.
  • the generated hash value may be stored on the blockchain network 740.
  • the metaverse data for seller group A generated on the second time unit may be grouped and generated as a hash value along with the identification information of seller group A.
  • the generated hash value may be stored on the blockchain network 740.
  • the first time unit and the second time unit can be adjusted based on the creation rate of metaverse data. The faster the metaverse data creation rate, the shorter the time unit can be set.
  • metaverse data which is time-critical data among metaverse data
  • time is not grouped by time and can be preferentially stored on the blockchain network.
  • data on products with an expiration date is not grouped by time, but can be stored on the blockchain as soon as it is generated.
  • time-critical metaverse data related to financial services such as loan timing, repayment timing, and delinquency timing, can be recorded directly on the blockchain without considering time units.
  • Figure 8 is a conceptual diagram showing the operation for linking between metaverses according to an embodiment of the present invention.
  • the first metaverse data generated based on the supply chain service may be processed by the first metaverse data processing unit and transmitted to the first blockchain network and the first metaverse environment implementation unit.
  • the second metaverse data generated based on financial services may be processed by the second metaverse data processing unit and transmitted to the second blockchain network and the second metaverse environment implementation unit.
  • some second data may be determined based on the first data, and some first metaverse data and some second metaverse data may have a dependent relationship. For example, financial services that take supply chain data into account may be provided, and metaverse data may be created due to these financial services.
  • the first metaverse data, the second metaverse data, and the interdependency subject information may be information about the subject that generated the first metaverse data and the second metaverse data that have mutual dependency.
  • the inter-metaverse interconnection network implementation device 800 stores first metaverse data, second metaverse data, and interdependency subject information having interdependence, and first metaverse data and second metaverse data related to the interdependency subject. Data can be processed and stored in a third blockchain network 810.
  • the first metaverse data is data related to supply chain services, so it is generated continuously
  • the second metaverse data is data related to financial services, so it may be generated more intermittently than the first metaverse data.
  • the first metaverse data may be periodically grouped and stored on the third blockchain network 810 as a first format hash value.
  • a second format hash value combining the first format hash value of each of the existing grouped first metaverse data and the second metaverse data is generated, and the third blockchain network (810) ) can be stored on
  • Figure 9 is a conceptual diagram showing a method for generating and managing product distribution data according to an embodiment of the present invention.
  • product distribution data may be generated differently depending on the type of product in order to track the movement of the product along the distribution path.
  • a product that requires identification of individual products may be a first type product 910, and a product that does not require identification of individual products may be a second type product 920.
  • the first type product 910 may be created based on a non-fungible token (NFT) and managed as an NFT
  • the second type product 920 may be created based on a fungible token (FT) and managed as an FT.
  • Expensive products or products requiring specification may be defined and managed as first type products 910, and other products may be defined and managed as second type products 920.
  • a TV with serial number XXXXXX is defined as a first type product 910, and one NFT corresponding to a TV with serial number XXXXX can be issued.
  • 1000 pencils are defined as a second type product 920, so 1000 FTs corresponding to the pencils can be issued.
  • product production address (950) corresponding to product production may be a storage address 960 and a product sales address 970 corresponding to product sales. Based on the movement of NFTs and FTs corresponding to products on the blockchain, operations corresponding to the production, sale, and distribution of products in the metaverse can be confirmed.
  • Product production data 355, product storage data 365, and product sales data 975 corresponding to NFT and FT are generated in the data processing server group or the first metaverse data processing server group and are stored as first metaverse data. 1 Can be used to implement a metaverse environment.
  • Figure 10 is a conceptual diagram showing a method for managing product distribution data on a blockchain according to an embodiment of the present invention.
  • an NFT for the product can be created at the product production address.
  • An NFT for the product is created, and the NFT can be matched with product production data.
  • NFT and product production data are created with a first hash value (1015), and the first hash value (1015) can be recorded on the blockchain.
  • the NFT for the product can be sent to the product storage address.
  • the NFT can be matched with the product storage data.
  • NFT and product storage data are generated as a second hash value (1025), and the second hash value (1025) can be recorded on the blockchain.
  • the NFT for the product can be sent to the product sales address.
  • the NFT can be matched with product sales data.
  • NFT and product sales data are generated as a third hash value 1035, and the third hash value 1035 can be recorded on the blockchain.
  • the product production address, product storage address, and product sales address may be wallet addresses that generate transactions on the blockchain. Based on the movement and hash value of the NFT for the product, the movement of the first type of product on the supply chain is tracked, and the movement of the product on the supply chain can be confirmed on the metaverse.
  • This method can be expressed in terms of a single NFT product distribution data management method.
  • a hash value may not be generated, and an NFT may be created based on product production data, product storage data, and product sales data in each of the product production procedure, product storage procedure, and product sales procedure.
  • NFT product production
  • NFT product storage
  • NFT product production
  • NFTs product sales
  • This method can be expressed in terms of a step-by-step NFT product distribution data management method.
  • NFT-based product distribution data management method can be used. If management of product distribution data is required only in one supply chain-based metaverse, a step-by-step NFT product distribution data management method can be used.
  • Figure 11 is a conceptual diagram showing a method for managing product data on a blockchain according to an embodiment of the present invention.
  • a FT for the product may be created at the product production address. For example, if there are 1000 shampoos, 1000 FTs can be created. FT can be matched with product production data. FT, number of FTs, and product production data are generated as a first hash value, and the first hash value 1150 can be recorded on the blockchain.
  • FT for the product can be sent to the product storage address.
  • a plurality of FTs may be stored in different storage locations, and when the storage location changes, different storage data may be generated or transmitted to different product storage addresses to reflect changes in product storage.
  • 1000 shampoos may be created with 1000 FTs, 500 shampoos may be stored in a first storage location, and the remaining 500 shampoos may be stored in a second storage location.
  • 500 FTs may be transmitted to the first product storage address, and first product storage data may be generated.
  • the remaining 500 FTs are sent to the second product storage address, and second product storage data can be generated.
  • the FT for the product can be sent to the product sales address. Similar to the product storage procedure, each of the 1000 FTs is moved to the product sales address according to the shipment quantity, and when the FT corresponding to the sales quantity is moved, the FT can be matched with product sales data. FT of the sales quantity sold and product sales data are generated as a fourth hash value 1180, and the fourth hash value 1180 can be recorded on the blockchain.
  • the product production address, product storage address, and product sales address may be wallet addresses that generate transactions on the blockchain. Based on the FT movement and hash value for the product, the movement of the second type product is tracked in the supply chain and metaverse, and users can accurately check the movement of the product on the metaverse.
  • the processing of the above NFT or FT-based product production data, product storage data, and product sales data is performed by the first metaverse data processing group of the first metaverse implementation device, and NFT or FTized product production data and product storage are performed by the first metaverse data processing group.
  • Data and product sales data can be used to implement a metaverse environment.
  • the block creation time on the blockchain can be adjusted to implement a metaverse environment based on FT and NFT data.
  • the blockchain for processing product distribution data of the present invention can adaptively adjust the block creation time by considering the time when product distribution data is generated and the time when product distribution data is not generated.
  • the transaction amount for product distribution data can be additionally considered and the block creation time can be relatively adjusted by taking into account the characteristics of the product (for example, fresh food) for which product distribution data must be generated immediately.
  • the blockchain data processing device (or blockchain data processing unit) can determine the expected block creation time based on the block creation time that changes adaptively as above.
  • a blockchain data processing device may include a plurality of block generation consensus nodes.
  • records of transactions occurring on the blockchain are collected for each time zone, and block creation times can be adaptively determined for each time zone based on the transaction records.
  • Transactions can be classified into two types.
  • the first type of transaction is a transaction in which block creation time is important and may include, for example, transactions related to product receipt and product shipment.
  • the second type of transaction is a transaction in which block creation time is not important and may include, for example, a transaction related to product storage or a transaction for determining the appropriate price of a product.
  • the block creation time determination device can determine the block creation time based on the transaction that occurs.
  • the block creation time determination device may filter the second type transaction, extract the first type transaction, and perform learning to determine the block creation time for block creation.
  • product distribution data creation time or product receipt, storage, and shipment time
  • product distribution data non-generation time or time when product receipt, storage, and shipment do not occur
  • transaction time is hierarchically divided into Learning about the transaction volume that occurs over time can be performed by dividing it into:
  • the block creation time determination device may perform learning to determine the block creation time based on the first type transaction and the block creation time when the first type transaction occurs.
  • the first type transaction may include product distribution data creation time information and time layer information regarding whether it is a product distribution data creation time or a non-product distribution data creation time.
  • Time layer information is information that stratifies time units and can be used to stratify time units to perform block generation considering the time sensitivity of the block creation time.
  • the first time layer is the smallest time unit and may be in seconds, the second time layer may be in minutes, and the third time layer may be in hours.
  • learning about block creation times based on sensitivity in seconds, learning about block creation times based on sensitivity in minutes, and learning about block creation times based on sensitivity in hours are performed. It can be.
  • the block creation time determination device can set time sensitivity (sensitivity in seconds, sensitivity in minutes, sensitivity in hours) and generate blocks so that the block creation time is less than or equal to the critical block creation time based on the learned results. For example, if the device for determining the block creation time sets the time sensitivity to a sensitivity in seconds, a block can be created with the sensitivity in seconds so that the block creation time is less than or equal to the critical block creation time.
  • the embodiments according to the present invention described above can be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium.
  • the computer-readable recording medium may include program instructions, data files, data structures, etc., singly or in combination.
  • Program instructions recorded on the computer-readable recording medium may be specially designed and configured for the present invention, or may be known and usable by those skilled in the computer software field.
  • Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magneto-optical media such as floptical disks. medium), and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc.
  • Examples of program instructions include not only machine language code such as that created by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.
  • a hardware device can be converted into one or more software modules to perform processing according to the invention and vice versa.

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Abstract

La présente invention concerne un procédé de génération et de gestion de données de distribution de produit dans des métavers et un dispositif pour la mise en œuvre de celui-ci. Le procédé de génération et de gestion de données de distribution de produit dans des métavers peut comprendre les étapes dans lesquelles un premier dispositif de génération de métavers : génère des données de distribution de produit basées sur un jeton non fongible (NFT) pour un premier type de produit; génère des données de distribution de produit basées sur un jeton fongible (FT) pour un second type de produit; et génère un premier métavers associé à un service de chaîne d'approvisionnement sur la base des données de distribution de produit basées sur NFT et des données de distribution de produit basées sur FT.
PCT/KR2023/006549 2022-05-20 2023-05-15 Procédé de génération et de gestion de données de distribution de produit dans des métavers et dispositif pour la mise en œuvre de ce procédé WO2023224338A1 (fr)

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KR1020220061980A KR20230162290A (ko) 2022-05-20 2022-05-20 메타버스 상에서 상품 유통 데이터를 생성 및 관리하는 방법 및 이러한 방법을 수행하는 장치
KR10-2022-0061980 2022-05-20

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019530932A (ja) * 2016-10-12 2019-10-24 朱恩辛CHU, En−Hsin クロスオーバー相互作用取引システム及びその方法
WO2020092900A2 (fr) * 2018-11-02 2020-05-07 Verona Holdings Sezc Plateforme de tokénisation
KR20210101275A (ko) * 2018-12-07 2021-08-18 나이키 이노베이트 씨.브이. 암호화로 보호된 디지털 자산을 제공하기 위한 시스템 및 방법
KR102340588B1 (ko) * 2021-05-11 2021-12-21 주식회사 와이콘즈 블록체인 기반의 nft를 이용한 객체 관리 서비스를 지원하는 객체 관리 시스템
KR102398366B1 (ko) * 2021-07-14 2022-05-13 김송환 디파이 대체 불가능한 토큰 및 메타버스 플랫폼 시스템

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019530932A (ja) * 2016-10-12 2019-10-24 朱恩辛CHU, En−Hsin クロスオーバー相互作用取引システム及びその方法
WO2020092900A2 (fr) * 2018-11-02 2020-05-07 Verona Holdings Sezc Plateforme de tokénisation
KR20210101275A (ko) * 2018-12-07 2021-08-18 나이키 이노베이트 씨.브이. 암호화로 보호된 디지털 자산을 제공하기 위한 시스템 및 방법
KR102340588B1 (ko) * 2021-05-11 2021-12-21 주식회사 와이콘즈 블록체인 기반의 nft를 이용한 객체 관리 서비스를 지원하는 객체 관리 시스템
KR102398366B1 (ko) * 2021-07-14 2022-05-13 김송환 디파이 대체 불가능한 토큰 및 메타버스 플랫폼 시스템

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