WO2023234596A1 - Procédé d'enregistrement et de vérification de produit dans un entrepôt de métavers, et dispositif de réalisation du procédé - Google Patents

Procédé d'enregistrement et de vérification de produit dans un entrepôt de métavers, et dispositif de réalisation du procédé Download PDF

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WO2023234596A1
WO2023234596A1 PCT/KR2023/006585 KR2023006585W WO2023234596A1 WO 2023234596 A1 WO2023234596 A1 WO 2023234596A1 KR 2023006585 W KR2023006585 W KR 2023006585W WO 2023234596 A1 WO2023234596 A1 WO 2023234596A1
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product
warehouse
metaverse
data
quality
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PCT/KR2023/006585
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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
    • G06Q10/06—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
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or 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
    • 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
    • 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]
    • G06Q30/0623—Item investigation
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Definitions

  • the present invention relates to a method for registering and verifying products on a metaverse warehouse and a device for performing this method. More specifically, a method of registering and verifying products on a metaverse warehouse and a device for performing such method when implementing a metaverse warehouse to perform network-based product verification by implementing a warehouse to store products on the metaverse It's about.
  • the basis for various communication activities, including finance, can move from the mobile environment to the metaverse.
  • the visual constraints of smartphone displays can be liberated, and communication methods can also expand from touch to voice or movement.
  • the purpose of the present invention is to solve all of the above-mentioned problems.
  • the purpose of the present invention is to provide a method of registering and verifying products on the metaverse warehouse when providing expanded services based on products actually received in the warehouse through the metaverse warehouse.
  • the present invention provides a method of registering and verifying products on a metaverse warehouse in order to provide product-based financial services to sellers by enabling product warehousing procedures, product storage procedures, and product shipping procedures to be confirmed on the metaverse.
  • the purpose is to provide
  • a representative configuration of the present invention to achieve the above object is as follows.
  • the method for registering and verifying products on a metaverse warehouse is a product registration system for products received in the warehouse based on supply chain data generated by a supply chain data processing device. It may include a step of performing a step and a step of the product verification system performing a product verification procedure for the product based on the supply chain data.
  • the product registration system may be implemented to determine the product quantity of the product
  • the product verification system may be implemented to determine the product quality of the product.
  • the product registration system includes a product quantity determination device, the product quantity determination device is implemented to determine the product quantity based on a first product captured image and product weight data, and the product verification system determines product quality. and a determination device, wherein the product quality determination device may be implemented to determine the product quality based on a second product captured image.
  • the Metaverse warehouse implementation system for registration and verification of products on the Metaverse warehouse is based on supply chain data generated by the supply chain data processing device. It may include a product registration system implemented to proceed with a registration process and a product verification system implemented to proceed with a product verification process for the product based on the supply chain data.
  • the product registration system may be implemented to determine the product quantity of the product
  • the product verification system may be implemented to determine the product quality of the product.
  • the product registration system includes a product quantity determination device, the product quantity determination device is implemented to determine the product quantity based on a first product captured image and product weight data, and the product verification system determines product quality. and a determination device, wherein the product quality determination device may be implemented to determine the product quality based on a second product captured image.
  • expanded services based on products received in the actual warehouse through the metaverse warehouse can be provided through registration and verification of products on the metaverse warehouse.
  • product-based financial services can be provided to sellers by enabling product receipt procedures, product storage procedures, and product delivery procedures to be confirmed on the metaverse through registration and verification of products on the metaverse warehouse. there is.
  • Figure 1 is a conceptual diagram showing a metaverse warehouse implementation system for implementing a metaverse warehouse according to an embodiment of the present invention.
  • Figure 2 is a conceptual diagram showing the operation of a metaverse warehouse implementation device according to an embodiment of the present invention.
  • Figure 3 is a conceptual diagram showing a data processing method of a metaverse warehouse implementation device according to an embodiment of the present invention.
  • Figure 4 is a conceptual diagram showing a method for managing product data on a blockchain according to an embodiment of the present invention.
  • Figure 5 is a conceptual diagram showing a method for managing product data on a blockchain according to an embodiment of the present invention.
  • Figure 6 is a conceptual diagram showing a data processing method for implementing a metaverse warehouse according to an embodiment of the present invention.
  • Figure 7 is a conceptual diagram showing a data processing method for implementing a metaverse warehouse according to an embodiment of the present invention.
  • Figure 8 is a conceptual diagram showing a method for registering and verifying a product on a metaverse warehouse according to an embodiment of the present invention.
  • Figure 9 is a conceptual diagram showing a product registration system according to an embodiment of the present invention.
  • Figure 10 is a conceptual diagram showing a product verification system according to an embodiment of the present invention.
  • Figure 11 is a conceptual diagram showing a method for determining product quality in a product verification system according to an embodiment of the present invention.
  • Figure 12 is a conceptual diagram showing the operation of a product quality determination device according to an embodiment of the present invention.
  • Figure 13 is a conceptual diagram showing a method for determining product quality according to an embodiment of the present invention.
  • Figure 1 is a conceptual diagram showing a metaverse warehouse implementation system for implementing a metaverse warehouse according to an embodiment of the present invention.
  • the metaverse warehouse implementation system may include a supply chain data processing device 100, a metaverse warehouse implementation device 120, a blockchain data processing unit 140, and a blockchain network 160.
  • the supply chain data processing device 100 can be implemented to collect and process supply chain data generated on the supply chain for distribution of actual products.
  • Supply chain data may be data generated during product distribution, such as product production, sales, storage, distribution, and purchase.
  • the supply chain data processing device 100 may include a plurality of servers for processing supply chain data. Multiple servers can be layered, and data from servers collected by layer can be selectively utilized to implement a metaverse warehouse. Among the supply chain data generated by the supply chain data processing device, data related to the metaverse warehouse may be classified and transmitted to the metaverse warehouse implementation device 120.
  • the supply chain data processing device 100 can implement a supply chain service on the metaverse based on data generated from at least one server located in each layer.
  • a plurality of servers included in the supply chain data processing device 100 can be layered, and server data collected for each layer can be selectively used to implement a metaverse warehouse.
  • the supply chain data processing device 100 is linked with the metaverse warehouse implementation device 120, and the metaverse warehouse implementation device 120 considers the supply chain data transmitted from the supply chain data processing device 100 to create a metaverse warehouse. can be implemented.
  • the metaverse warehouse implementation device 120 may include a product receipt processing unit 122, a product storage processing unit 124, a product shipping processing unit 126, and a metaverse implementation unit 128.
  • the metaverse warehouse implementation device 120 can implement a metaverse environment for each of a plurality of actual warehouses.
  • the product receipt processing unit 122 may be implemented to process product receipt on a metaverse warehouse.
  • the product receipt processing unit 122 may generate product receipt data to generate a receipt action on the metaverse warehouse.
  • the product storage processing unit 124 may be implemented for product storage processing on a metaverse warehouse.
  • the product storage processing unit 124 may generate product storage data to generate a storage action on the metaverse warehouse.
  • the product delivery processing unit 126 may be implemented to process product delivery on a metaverse warehouse.
  • the product delivery processing unit 126 may generate product delivery data to generate a delivery action on the metaverse warehouse.
  • the metaverse implementation unit 128 may implement the metaverse warehouse 150 based on data generated from the product receipt processing unit 122, the product storage processing unit 124, and the product shipping processing unit 126.
  • the metaverse warehouse 150 is an implementation of an actual warehouse on the metaverse, and the product receipt processing unit 122, product storage processing unit 124, and product delivery processing unit 126 receive goods based on hardware such as cameras, sensors, etc. , storage, and shipment can be confirmed in real time on the metaverse.
  • the blockchain data processing unit 140 may be implemented to process data generated from each of the supply chain data processing device 100 and the metaverse warehouse implementation device 120 to process data to be uploaded to the blockchain. Depending on the settings, the blockchain data processing unit 140 can periodically transmit data generated from each of the supply chain data processing device 100 and the metaverse warehouse implementation device 120 to the blockchain network 160 in real time or in packaged form. .
  • the blockchain data processing unit 140 can transmit a smart contract for processing data on the blockchain to the blockchain network 160 and process data on the blockchain based on the smart contract.
  • Smart contracts can be created based on actions on the metaverse warehouse implementation device 120.
  • the blockchain network 160 can be implemented to record and process data generated from the supply chain data processing device 100 and the metaverse warehouse implementation device 120 on a blockchain.
  • Figure 2 is a conceptual diagram showing the operation of a metaverse warehouse implementation device according to an embodiment of the present invention.
  • the metaverse warehouse implementation device may include a product receipt processing unit 210, a product storage processing unit 220, a product shipping processing unit 230, and a metaverse implementation unit 270.
  • the product warehousing processing unit 210 may be implemented to process warehousing of products on a metaverse warehouse.
  • the product receipt processing unit matches the supply chain data 216 and the candidate product receipt data 213, and if they are matched, the product receipt data ( 240) can be generated.
  • the product warehousing processing unit 210 determines whether the supply chain data 216 and the candidate product warehousing data 213 match the candidate product based on object recognition technology such as vision technology and/or sensor technology when the product is warehousing.
  • Receiving data 213 can be generated.
  • the candidate product arrival data 213 may include information about products being received into the warehouse, information about the number of products, information about product quality, and information about product prices.
  • the product receipt processing unit 210 may make a final decision and generate product receipt data 240.
  • Product receipt data 240 may be transmitted to the blockchain data processing unit and stored on the blockchain network.
  • the product receipt data 240 is transmitted to the product storage processing unit 220 for storage processing of the product after receipt, and the metaverse implementation unit 270 to generate a receipt action for the product received in the metaverse warehouse. can be sent to Additionally, the product receipt data 240 may be transmitted to the supply chain data processing device to update data on the supply chain.
  • the product storage processing unit 220 may be implemented for product storage processing on a metaverse warehouse. Products received in the warehouse may be stored in the warehouse before sale. On the Metaverse warehouse, a service may be provided to enable confirmation of products stored in the warehouse.
  • the product storage processing unit 220 generates information necessary for product storage, such as product storage start date, product storage location, product storage environment, product storage period, price change according to product storage period, etc. as product storage data for the received product. You can.
  • the warehouse can be implemented so that information about products stored in the warehouse can be confirmed in real time through vision technology and/or sensing technology implemented in the warehouse.
  • Product storage data 250 may be transmitted to the blockchain data processing unit and stored on the blockchain network.
  • the product storage data 250 is transmitted to the product shipment processing unit 230 for product shipment processing after product storage, and the metaverse implementation unit 270 to generate a storage action for products stored in the metaverse warehouse. can be sent to Additionally, the product storage data 250 may be transmitted to the supply chain data processing device to update data on the supply chain.
  • the product delivery processing unit 230 may be implemented to process product delivery on a metaverse warehouse. If the product stored in the warehouse is sold, the product may be shipped. When a product is shipped, a service may be provided on the Metaverse warehouse to enable confirmation of the shipment of the product stored in the warehouse.
  • the product shipment processing unit 230 may generate information necessary for product shipment, such as product shipment start date, product shipment location, product shipment price, and product delivery address, as product shipment data 260.
  • the warehouse may be implemented so that information about the shipment of products in the warehouse can be confirmed in real time through vision technology and/or sensing technology implemented in the warehouse.
  • Product shipment data 260 can be transmitted to the blockchain data processing unit and stored on the blockchain network. Additionally, product delivery data 260 may be transmitted to the metaverse implementation unit 270 to generate a delivery action for products stored in the metaverse warehouse. Additionally, the product shipment data 260 may be transmitted to the supply chain data processing device to update data on the supply chain.
  • the metaverse implementation unit 270 collects vision installed in the warehouse, vision data generated through sensors, sensing data, warehouse 3D structure data, product receipt data 240, product storage data 250, and product shipment data 260. Based on this, a metaverse warehouse can be implemented.
  • the Metaverse warehouse is implemented so that users can check the warehouse receipt, storage, and shipment of products on the Metaverse. Users can access the Metaverse warehouse and check the status of the product without visiting the warehouse. New services (for example, financial services) can be provided based on this metaverse warehouse.
  • Figure 3 is a conceptual diagram showing a data processing method of a metaverse warehouse implementation device according to an embodiment of the present invention.
  • product receipt data After creation of product receipt data, product receipt data must be matched with product storage data with consistency, and after creation of product storage data, product storage data must be matched with product delivery data with consistency.
  • Product receipt data may be generated differently depending on the type of product.
  • a product that requires identification of individual products may be a first type product 310, and a product that does not require identification of individual products may be a second type product 320.
  • the first type product 310 may be created based on a non-fungible token (NFT) and managed as an NFT
  • the second type product 320 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 310, and other products may be defined and managed as second type products 320.
  • a TV with serial number XXXXXX is defined as a first type product 310, and one NFT corresponding to the TV with serial number XXXXXX can be issued.
  • 1000 pencils are defined as the second type product 320, so 1000 FTs corresponding to the pencils can be issued.
  • product receipt address (350) corresponding to product receipt, product storage address (360) corresponding to product storage, and product shipment address corresponding to product shipment. (370) may exist. Based on the movement of NFTs and FTs corresponding to products on the blockchain, operations corresponding to the receipt, storage, and shipment of products in the metaverse can be confirmed.
  • product receipt data 355, product storage data 365, and product shipment data 375 corresponding to NFT and FT are stored in the Metaverse warehouse management server, and on the blockchain, corresponding product receipt data 355, The hash values of the product storage data 365 and the product shipment data 375 may be recorded so that the authenticity of the data can be confirmed.
  • Figure 4 is a conceptual diagram showing a method for managing product data on a blockchain according to an embodiment of the present invention.
  • an NFT for the product can be created at the product receipt address.
  • An NFT for the product is created, and the NFT can be matched with product receipt data.
  • NFT and product receipt data are created with a first hash value 415, and the first hash value 415 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 created with a second hash value 425, and the second hash value 425 can be recorded on the blockchain.
  • the NFT for the product can be sent to the product shipping address.
  • the NFT can be matched with the product shipment data.
  • NFT and product shipment data are generated as a third hash value 435, and the third hash value 435 can be recorded on the blockchain.
  • the product receipt address, product storage address, and product shipping address may be wallet addresses that generate transactions on the blockchain. Based on the movement of the NFT for the product and the hash value, the movement of the first type of product within the Metaverse warehouse is tracked, and users can accurately check the movement of the product on the Metaverse warehouse.
  • This method can be expressed in terms of a single NFT product management method.
  • an NFT can be created based on product receipt data, product storage data, and product shipment data in each of the product receipt procedure, product storage procedure, and product shipment procedure.
  • an NFT product receipt
  • NFT product storage
  • NFT product receipt
  • NFT product shipment
  • NFT product shipment
  • This method can be expressed in terms of a step-by-step NFT product management method.
  • NFT product management method can be used.
  • product management is required only within the metaverse warehouse, a step-by-step NFT product management method can be used. For example, if an NFT is granted at the production stage, such as a luxury product, and after subsequent sale, NFT-based second-hand transactions are required, a single NFT product management method can be used.
  • Figure 5 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 receipt address. For example, if there are 1000 shampoos, 1000 FTs can be created. FT can be matched with product receipt data. FT, number of FTs, and product receipt data are generated as a first hash value, and the first hash value 550 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 created or transferred 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 second hash value 560 and the third hash value 570 may be recorded on the blockchain.
  • the FT for the product can be sent to the product shipping address. Similar to the product storage procedure, each of the 1000 FTs is moved to the product shipping address according to the shipping quantity, and when the FT corresponding to the shipping quantity is moved, the FT can be matched with the product shipping data.
  • the FT of the shipped quantity and product shipment data are generated as a fourth hash value 580, and the fourth hash value 580 can be recorded on the blockchain.
  • the product receipt address, product storage address, and product shipping 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 within the metaverse warehouse is tracked, and users can accurately check the movement of the product on the metaverse warehouse.
  • Figure 6 is a conceptual diagram showing a data processing method for implementing a metaverse warehouse according to an embodiment of the present invention.
  • the metaverse warehouse may be implemented for the entire actual warehouse, or may be implemented for each user or user group unit using the metaverse warehouse.
  • a metaverse warehouse targeting Seller A may be provided for warehousing, storage, and shipping of Seller A's products, and warehousing, storage, and shipping of products sold by a seller group that includes multiple sellers.
  • Metaverse warehouses targeting groups of sellers may be provided for shipping.
  • metaverse warehouse may be implemented based on specific sales products or sales product groups rather than sellers.
  • split processing can be performed on product receipt data, product storage data, and product shipment data.
  • a classification code for data classification such as product seller information, product seller group information, product information, product group information, etc. may be assigned to each header 600 of product receipt data, product storage data, and product shipment data. .
  • header levels such as product seller information, product seller group information, product information, and classification code of product group information may be determined.
  • various header levels can be adaptively determined.
  • the metaverse warehouse of the present invention may be a warehouse that corresponds 1:1 to an actual warehouse, or may correspond to a partial warehouse area divided into an actual warehouse. Additionally, it can be implemented by integrating multiple actual warehouses. Depending on the characteristics of the metaverse warehouse (handling items, sellers, warehouse size), the header level corresponding to each input product receipt data, product storage data, and product shipment data can be adaptively set, and the implemented metaverse warehouse The levels may also be different. The header data level can be set to be expandable in the future.
  • the header 600 of product receipt data/product storage data/product shipment data can be largely divided into a product header 610 and a seller header 650. Additionally, the product header 610 and the seller header 650 may each be divided into a standard header 620 and an individual header 630.
  • Each of the standard header 620 and the individual header 630 of the product header 610 can be set to n header levels.
  • the standard header 620 may include n header levels for product classification defined as a standard for integration on the metaverse between different physical warehouses.
  • the individual header 630 may include n header levels for individually defined product classification to manage the metaverse warehouse for a specific warehouse. Based on the standard header 620, a plurality of actual warehouses can be integrated and implemented as a metaverse warehouse, but an individual header 630 can be defined to enable individual metaverse warehouses to be adaptively implemented as needed.
  • the n header levels of each of the standard header 620 and the individual header 630 of the product header 610 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 620 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 610 may change depending on settings, and changes in the header may occur according to these changes.
  • each of the standard header 660 and the individual header 670 of the seller header 650 can be set to m header levels.
  • the m header levels of the standard header 660 and the individual header 670 of the seller header 650 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 660 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 650 may change depending on settings, and header changes may occur according to these changes.
  • Header levels that are not set for the product header 610 and seller header 650 can be left blank without separate settings, if necessary.
  • the standard headers 620, 660 may be adjusted based on the use of the individual headers 630, 670 in relation to the standard headers 620, 660 and the individual headers 630, 670. there is.
  • header level For example, considering the individual headers 630 and 670 used in each metaverse warehouse, information on the header level that is actually commonly used is reflected so that the standard headers 620 and 660 are more aligned with actual warehouse business classifications. It may be adjusted as follows.
  • each header 600 of product receipt data, product storage data, and product shipment data includes a metaverse warehouse header including identification information about the metaverse warehouse and relationship information between metaverse warehouses. More may be included.
  • the Metaverse warehouse header can be used to transmit data considering the relationship between Metaverse warehouses.
  • Figure 7 is a conceptual diagram showing a data processing method for implementing a metaverse warehouse according to an embodiment of the present invention.
  • product receipt data, product storage data, and product shipment data are expressed as warehouse data 700 for implementing a metaverse warehouse.
  • the Metaverse warehouse implementation device can be classified into blockchain record data to be recorded on the blockchain network and Metaverse warehouse implementation data for the implementation of the Metaverse warehouse based on the header information of the warehouse data 700.
  • the metaverse warehouse implementation device can perform primary filtering (710) based on header information.
  • warehouse data 700 that is not necessary for implementation of the currently implemented metaverse warehouse 750 may be filtered. For example, if there is no separate request for the metaverse warehouse 750 for seller B and product X, the warehouse data 700 for seller B and product X may be filtered.
  • the warehouse data 700 remaining after the first filtering is the metaverse warehouse data 720, and the metaverse implementation unit 730 of the metaverse warehouse implementation device classifies the metaverse warehouse data 720 to create a metaverse warehouse (720). 750) can be generated.
  • the metaverse implementation unit 730 provides metaverse warehouse data corresponding to each of seller A and seller group A through header filtering.
  • the metaverse warehouse 750 can be created by classifying 720.
  • the metaverse warehouse implementation device can generate a hash value by grouping the metaverse warehouse data 720 for recording on the blockchain and store the generated hash value on the blockchain network 740.
  • time units are set for each metaverse warehouse 750, and hash values for metaverse warehouse data 720 collected by 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.
  • the metaverse warehouse data 720 for seller A generated on the first time unit may be grouped and generated as a hash value together with the identification information of seller A.
  • the generated hash value may be stored on the blockchain network 740.
  • the metaverse warehouse data 720 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 can be stored on the blockchain network.
  • the first time unit and the second time unit may be adjusted based on the creation rate of the metaverse warehouse data 720. The faster the creation speed of the metaverse warehouse data 720, the shorter the time unit can be set.
  • metaverse warehouse data which is time-critical data among metaverse warehouse data
  • time is not grouped by time and can be preferentially stored on the blockchain network.
  • product receipt data, product storage data, and product shipment data data on frozen food, refrigerated food, or products with an expiration date are not grouped by time and can be stored on the blockchain as soon as they are generated.
  • the desired Metaverse warehouse environment can be implemented adaptively in various settings, and the authenticity of data can be guaranteed based on blockchain.
  • data transmission can be performed taking into account the relationship between metaverse warehouses for efficient data processing.
  • data for metaverse warehouse 1 may be data for metaverse warehouse 2 and metaverse warehouse 3, which simultaneously include metaverse warehouse 1.
  • the data for Metaverse Warehouse 2 may be data for Metaverse Warehouse 3, which includes Metaverse Warehouse 2. Therefore, in order to prevent duplicate processing of data, the header of the generated data may include a metaverse warehouse layer header considering the hierarchy between metaverse warehouses, and an optional metaverse warehouse header considering the relationship between metaverse warehouses based on the metaverse warehouse header. Transmission can take place.
  • Figure 8 is a conceptual diagram showing a method for registering and verifying a product on a metaverse warehouse according to an embodiment of the present invention.
  • product registration and product verification may be performed through the product registration system 810 and the product verification system 820.
  • the product registration system 810 and the product verification system 820 may be included in the metaverse warehouse implementation system.
  • supply chain data and incoming products can be performed based on supply chain data generated by the supply chain data processing device.
  • an incoming product may be imaged based on a product registration system implemented in a warehouse, and first product imaging result data and supply chain data acquired through the first product imaging device on the product registration system 810 can be matched.
  • quantitative information about the product can be confirmed. For example, quantitative information such as the number of products can be confirmed.
  • Product verification can be a process of confirming qualitative data such as product quality in supply chain data. Verification of incoming products can be performed through a product verification system implemented in the warehouse. Second product imaging data acquired through the second product imaging device on the product verification system 820 and supply chain data may be matched.
  • a product registration system 810 and a product verification system 820 may be located in the warehouse. Product registration and product verification may be performed differently depending on the product. Therefore, in order to classify products according to the product and proceed with the product registration process, the product registration system 810 may include a plurality of sub-product registration systems. Likewise, the product verification system 820 may include a plurality of sub-product verification systems to classify and perform product verification after the product registration process through each of the plurality of sub-product registration systems.
  • Product registration can be performed on a product registration system through primary product classification
  • product verification can be performed on a product verification system through secondary product classification.
  • a product registration system 810 and a product verification system 820 that take into account products received in the metaverse warehouse can be implemented on the warehouse.
  • Products arriving at the warehouse are primarily classified and located in a plurality of lower-level product registration systems, and product registration procedures may be performed in each of the plurality of lower-level product registration systems.
  • the product verification process for each of the plurality of products may be performed through a plurality of sub-product verification systems.
  • Figure 9 is a conceptual diagram showing a product registration system according to an embodiment of the present invention.
  • the product registration system may include a product information input device 910, a product moving conveyor belt 920, a vision sensor device 930, a weight sensor device 940, and a product quantity determination device 950. You can.
  • a product registration system can be implemented to determine the product and its quantitative information.
  • the product information input device 910 may be implemented to input product information.
  • Product information is information corresponding to supply chain data and may include product identification information, product quantity information, product weight information, etc.
  • the product movement conveyor belt 920 may be implemented to move products based on a conveyor belt.
  • the product is moved through the product movement conveyor belt 920, and product registration can be performed based on data generated through a vision sensor device and a weight sensor device located on the product's movement.
  • the vision sensor device 930 can capture images of products to confirm the quantity of the product based on image information.
  • the product moves on the product moving conveyor belt 920, and the vision sensor device can capture the number of input products through photographing from various angles.
  • the first product image captured by the vision sensor device 930 may be transmitted to the product quantity determination device.
  • the weight sensor device 940 can measure the weight of the product to identify the product based on the weight information.
  • the weight sensor device 940 may be implemented on the product moving conveyor belt 920 to sense the weight of the product.
  • the weight sensor device 940 may generate product weight data.
  • the product quantity determination device 950 may be implemented to determine the product quantity based on the first product captured image and product weight data.
  • the product quantity determination device 950 may perform learning about product quantity based on learning about captured images for each product and learning about weight data for each product.
  • the same product is delivered based on the same package, is created with the same weight, and is delivered to the warehouse.
  • the product quantity determination device 950 can perform artificial intelligence learning to determine the product quantity through learning about each of the product image, packaged product image, product weight, and packaged product weight. As a result of the learning of the artificial intelligence engine, a result regarding the quantity of the product may be output based on the input values for the first product captured image and product weight data.
  • the same product is delivered based on the same package, is created with the same weight, and is delivered to the warehouse.
  • the product quantity determination device 950 can perform artificial intelligence learning to determine the product quantity through learning about each of the product image, packaged product image, product weight, and packaged product weight. As a result of the learning of the artificial intelligence engine, a result regarding the quantity of the product may be output based on the input values for the first product captured image and product weight data.
  • Figure 10 is a conceptual diagram showing a product verification system according to an embodiment of the present invention.
  • the product verification system may include a product information input device 1010, a product moving conveyor belt 1020, a vision sensor device 1030, and a product quality determination device 1040.
  • the product information input device 1010 may be implemented to input product information.
  • Product information is information corresponding to supply chain data and may include qualitative information about the product such as product identification information and product quality information.
  • the product movement conveyor belt 1020 can be implemented to move products based on a conveyor belt.
  • the product is moved through the product movement conveyor belt 1020, and product verification can be performed based on data generated through a vision sensor device located on the product's movement.
  • the vision sensor device 1030 can capture images of products to check product quality based on image information.
  • the product moves on the product moving conveyor belt 1020, and the vision sensor device 1030 can capture images for verification of product quality through shooting from various angles.
  • the second product image captured by the vision sensor device 1030 may be transmitted to the product quality determination device 1040.
  • the vision sensor device 1030 may be a device capable of capturing transmission photos such as x-ray photos.
  • the product quality determination device 1040 may be implemented to determine product quality based on the second product captured image and product weight data registered by the product registration system.
  • the product quality determination device 1040 may perform learning about product quality based on learning about the second product captured image for each product and learning about weight data for each product.
  • the second product captured image may include a macro photo or an x-ray transmission photo of the product in comparison with the first product captured image.
  • product quality can be determined through learning about defect images for each product and comparing them with a reference image.
  • Figure 11 is a conceptual diagram showing a method for determining product quality in a product verification system according to an embodiment of the present invention.
  • the product quality determination device may determine a product quality determination image 1100 by combining existing product images.
  • the collected product images may be images taken from various angles of the product, and when combining product images, images of the entire direction or a partial area of the product may be obtained.
  • the product quality determination device may determine the quality judgment image 1100 of the product by combining images collected based on the basic shape of the product. When multiple images are collected for the same area of a product, the image with the best quality among the multiple images may be selected as the quality judgment image 1100.
  • the quality judgment image acquisition area may be an area in which an image of the product for quality determination has been acquired, and the area in which the quality judgment image has not been acquired may be an area in which an image of the product for quality determination has not been obtained.
  • the product quality determination device may determine product quality by comparing the second product captured image of the product based on the quality judgment image acquisition area. This search for product quality can be expressed in terms of quality judgment image acquisition area search 1120.
  • the product quality determination device can search for quality determination areas that affect product quality based on its own quality judgment algorithm in areas where quality judgment images are not obtained. This search can be expressed in terms of quality judgment image non-acquisition area search 1140.
  • Quality determination image acquisition area search 1120 matches the judgment reference point of the quality judgment image 1100 with the judgment reference point of the second product captured image 1110, determines the critical angle based on the judgment reference point, and determines product quality. This can be done.
  • the search 1140 for the area where the quality judgment image is not acquired is a case where the quality judgment image 1100 does not exist, and the result learned based on the grading image, which has become a factor in determining the product quality of an existing product, is used to determine product quality. Judgment can be made.
  • a quality determination image acquisition area search 1120 and a quality determination image non-acquisition area search 1140 are disclosed.
  • Figure 12 is a conceptual diagram showing the operation of a product quality determination device according to an embodiment of the present invention.
  • a quality determination image acquisition area search method for a product quality determination device to determine the quality of a product is disclosed.
  • a decision reference point may be determined to perform a quality determination image acquisition area search.
  • the judgment reference point 1210 may be the center point of the image area with the widest angle of view among at least one quality judgment image 1200 included in the quality judgment image acquisition area. For example, if the collected quality judgment image 1200 includes the first side image 1230 and the second side image 1240 of the product, the first side image 1230 and the second side image 1240 The center point of the image having a wider angle of view may be set as the judgment reference point 1210.
  • the judgment reference point 1210 may be determined by further considering the image quality of the collected quality judgment image 1200.
  • the judgment reference point 1210 may be set by further considering whether among the collected images the image quality is above the threshold.
  • the judgment reference point 1210 may be set for each collected quality judgment image 1200.
  • the center point of each of the plurality of quality judgment images 1200 may be set as the judgment reference point 1210. In this case, there may be multiple judgment reference points 1210.
  • the judgment reference point 1210 of the quality judgment image 1200 is matched with the judgment reference point 1210 of the second product captured image, and a critical angle is set based on the judgment reference point 1210 to determine the quality.
  • the difference between the judgment image 1200 and the second product captured image 1250 may be analyzed.
  • the critical angle may be determined based on the angle of view of the quality determination image 1200.
  • An image difference area where there is a difference between the quality judgment image 1200 and the second product captured image 1250 may be extracted.
  • the image difference area is an area containing elements that can determine the quality of the product.
  • Product quality judgment based on the image difference area can be performed based on the product quality judgment algorithm, similar to the search for areas not acquired in the quality judgment image.
  • Figure 13 is a conceptual diagram showing a method for determining product quality according to an embodiment of the present invention.
  • a product quality determination algorithm for a product is disclosed.
  • the product quality judgment process may be performed to determine product quality in the image difference area and the quality judgment image non-acquisition area extracted after searching the quality judgment image acquisition area.
  • the product quality determination device can learn a rating image that can determine product quality.
  • labeling can be performed on grading images to determine quality for each product. For example, learning can be done by labeling possible rating images for bags with the product name bag. Through this learning, factors that determine quality for each product are learned, and a procedure for determining product quality can be performed in the image difference area 1300 and the non-obtained quality judgment image area 1320. This learning about product quality can be continuously performed based on the rating images accumulated when judging product quality.
  • a specific area in the image difference area 1300 and the non-acquired quality judgment image area 1320 may be determined to be a product quality deterioration area 1330, and a candidate that is an image of the product quality deterioration area 1330 An image 1350 of the area of reduced product quality may be extracted.
  • the product quality determination device may determine the quality of the product based on product quality judgment result information including the image 1350 of the candidate product quality deterioration area.
  • Product quality determination result information including the candidate product quality deterioration area image 1350 may be delivered to the seller of the product.
  • the seller can confirm product quality based on product quality judgment result information received through the seller device.
  • the seller can check areas that are judged not to be problematic areas of product quality and request a re-judgment through the product quality determination device.
  • the judgment request image 1360 corresponding to the product quality judgment result information may be re-imaged and transmitted to the product quality determination device.
  • the judgment request image 1360 is an image corresponding to the candidate product quality deterioration area image 1350 and may be an image for receiving a judgment on product quality.
  • the product quality determination device may specify and provide an area corresponding to the candidate product quality deterioration area image 1350 on the product in order to request a judgment request image 1360.
  • the product quality determination device may perform a judgment on the quality of the product by performing a product quality judgment process again based on the judgment request image 1360. As a result of the judgment, if it is determined that it is not a factor that reduces product quality, the candidate product quality decline area image 1350 corresponding to the corresponding judgment request image 1360 will be excluded from the final product quality decline area image 1370. You can.
  • the final product quality deterioration area image 1370 can be used as basic data for determining product quality by a product quality determination device.
  • 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 d'enregistrement et de vérification d'un produit dans un entrepôt de métavers, et un dispositif de réalisation du procédé. Un procédé d'enregistrement et de vérification d'un produit dans un entrepôt de métavers peut comprendre les étapes au cours desquelles : un système d'enregistrement de produit effectue, sur la base de données de chaîne d'approvisionnement générées au moyen d'un dispositif de traitement de données de chaîne d'approvisionnement, une procédure d'enregistrement de produit pour un produit reçu dans un entrepôt ; et un système de vérification de produit effectue une procédure de vérification de produit pour le produit sur la base des données de chaîne d'approvisionnement.
PCT/KR2023/006585 2022-05-30 2023-05-16 Procédé d'enregistrement et de vérification de produit dans un entrepôt de métavers, et dispositif de réalisation du procédé WO2023234596A1 (fr)

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KR1020220065904A KR20230166236A (ko) 2022-05-30 2022-05-30 메타버스 창고 상에서 상품의 등록 및 검증 방법 및 이러한 방법을 수행하는 장치
KR10-2022-0065904 2022-05-30

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20200023095A (ko) * 2018-08-24 2020-03-04 십일번가 주식회사 상품 정보 관리 방법 및 이를 지원하는 서비스 장치
KR20200070550A (ko) * 2018-12-10 2020-06-18 (주)에이알씨엔에스 오프라인 촬영 영상물을 이용한 가상현실 쇼핑몰의 구축 시스템 및 그 방법
KR20210079965A (ko) * 2019-12-20 2021-06-30 김승연 재고관리 및 상품판매를 위한 스마트 진열대 및 스마트 진열대를 이용한 재고관리 및 상품 판매방법
KR20210119919A (ko) * 2020-03-25 2021-10-06 쿠팡 주식회사 대규모 제품 리스팅을 위한 컴퓨터화된 시스템 및 방법

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20200023095A (ko) * 2018-08-24 2020-03-04 십일번가 주식회사 상품 정보 관리 방법 및 이를 지원하는 서비스 장치
KR20200070550A (ko) * 2018-12-10 2020-06-18 (주)에이알씨엔에스 오프라인 촬영 영상물을 이용한 가상현실 쇼핑몰의 구축 시스템 및 그 방법
KR20210079965A (ko) * 2019-12-20 2021-06-30 김승연 재고관리 및 상품판매를 위한 스마트 진열대 및 스마트 진열대를 이용한 재고관리 및 상품 판매방법
KR20210119919A (ko) * 2020-03-25 2021-10-06 쿠팡 주식회사 대규모 제품 리스팅을 위한 컴퓨터화된 시스템 및 방법

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SEONG AH-IN: "E-commerce joins hands with Metaverse ", BYLINE NETWORK, 27 January 2022 (2022-01-27), XP093117037, Retrieved from the Internet <URL:https://byline.network/2022/01/220126123/> [retrieved on 20240109] *

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