WO2024027624A1 - Procédé de mise en correspondance de ressources intelligentes à base de métavers, et système de métavers - Google Patents

Procédé de mise en correspondance de ressources intelligentes à base de métavers, et système de métavers Download PDF

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Publication number
WO2024027624A1
WO2024027624A1 PCT/CN2023/110159 CN2023110159W WO2024027624A1 WO 2024027624 A1 WO2024027624 A1 WO 2024027624A1 CN 2023110159 W CN2023110159 W CN 2023110159W WO 2024027624 A1 WO2024027624 A1 WO 2024027624A1
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Prior art keywords
resource
metaverse
data
target
sub
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PCT/CN2023/110159
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English (en)
Chinese (zh)
Inventor
李军棉
罗凝
冯璋裕
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广州市格利网络技术有限公司
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Publication of WO2024027624A1 publication Critical patent/WO2024027624A1/fr

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Classifications

    • 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]
    • G06Q30/0631—Item recommendations
    • 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]
    • G06Q30/0621—Item configuration or customization
    • 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

Definitions

  • the invention relates to the technical field of the metaverse, and in particular to an intelligent resource matching method and a metaverse system based on the metaverse.
  • digital technology is applied to all walks of life, such as the agricultural products industry.
  • digital technology to digitize the relevant data of agricultural products
  • the relevant data of agricultural products can be moved from offline to online, so that the demand side can pass You can view relevant information about agricultural products online and make purchases.
  • the present invention provides an intelligent resource matching method and a Metaverse system based on the Metaverse, which can improve the interaction efficiency between demanders, providers and other parties, thereby improving the demander's efficient acquisition of required resources.
  • the first aspect of the present invention discloses a resource intelligent matching method based on the metaverse.
  • the method is applied to the metaverse system.
  • the metaverse system includes the metaverse resource end.
  • the method includes:
  • the Metaverse resource end detects the Metaverse resource demand triggered by the resource demand end, and the Metaverse resource demand includes identification information corresponding to the resource demand end;
  • the Metaverse resource end determines the Metaverse portrait of the triggerer corresponding to the Metaverse resource demand in the Metaverse resource pool of the Metaverse resource end based on the identification information corresponding to the resource demand end;
  • the Metaverse resource end determines the target resources required by the resource demand end based on the identification information corresponding to the resource demand end and the Metaverse portrait corresponding to the triggerer;
  • the metaverse resource end selects the target resource provider that matches the target resource and the metaverse data of the target resource provider from all the first resource providers in the metaverse resource pool, and executes the request to the trigger
  • the triggerer outputs the metaverse data of the target resource provider for the triggerer to view and perform interactive operations with the target resource provider;
  • the Metaverse resource pool stores a plurality of Metaverse portraits and a plurality of Metaverse data of the first resource providers, and the Metaverse data of each first resource provider includes the actual data of the first resource provider. Data corresponding to scene data one-to-one.
  • the method further includes:
  • the Metaverse resource terminal receives a creation request for Metaverse data in the Metaverse resource pool sent by at least one second resource provider;
  • the Metaverse resource end determines the resource data of the second resource provider according to the establishment request of the second resource provider.
  • the resource data of the second resource provider includes identification information corresponding to the second resource provider and /or the resource provision data of the second resource provider;
  • the Metaverse resource end uses the resource data of the second resource provider and the resource management and control data of each of the Metaverse resource management and control ends in the Metaverse resource pool, from the plurality of Metaverse resource management and control ends.
  • the target Metaverse resource management and control terminal that matches the second resource provider is screened, and a verification prompt is sent to the target Metaverse resource management and control terminal.
  • the verification prompt includes The resource data of the second resource provider, and the verification prompt is used to prompt the target metaverse resource management and control end to verify the resource data of the second resource provider, wherein each of the metaverse resource management and control end
  • Each terminal has a unique corresponding actual resource management and control terminal;
  • the metaverse resource end determines the actual scene data of the second resource provider, and based on The actual scene data of the second resource provider and the resource data of the second resource provider, in the metaverse resource pool, generate metaverse data that corresponds to the actual scene data of the second resource provider, All the first resource providers include all the second resource providers.
  • the metaverse resource end is configured in the metaverse based on the actual scene data of the second resource provider and the resource data of the second resource provider.
  • metaverse data corresponding to the actual scene data of the second resource provider is generated, including:
  • the Metaverse resource end divides the actual scene data of the second resource provider into sub-scenarios according to the scene function division method to obtain multiple sub-actual scene data, and determines the actual scene data based on the resource data of the second resource provider.
  • the Metaverse resource end establishes a three-dimensional model matching the sub-actual scene data according to the resource type corresponding to the second resource provider and the function of each sub-actual scene data;
  • the metaverse resource end determines the color condition of each sub-actual scene data, and renders the three-dimensional model of the sub-actual scene data based on the color condition of each sub-actual scene data, to obtain a rendered three-dimensional model. ;
  • the Metaverse resource end determines the position of the second resource provider in the Metaverse resource pool according to the resource type provided by the second resource provider, and corresponds to each sub-actual scene data according to The rendered three-dimensional model, the corresponding position of the second resource provider and the resource data of the second resource provider are used to generate metaverse data that corresponds one-to-one to the actual scene data of the second resource provider.
  • the target resource includes a plurality of sub-target resources, and each of the sub-target resources has at least one corresponding sub-resource provider.
  • the target resource provides The terminal includes all the sub-resource providing terminals;
  • the method also includes:
  • the Metaverse resource end determines the resource type of each of the sub-target resources and the demand ranking of the sub-target resources based on the identification information corresponding to the resource demand end;
  • the Metaverse resource end determines the output order of Metaverse data of all the sub-resource providers corresponding to the sub-target resource according to the resource type and demand sorting of each of the sub-target resources;
  • the metaverse resource end outputs the metaverse data of the target resource provider to the triggerer for the triggerer to view and perform interactive operations with the target resource provider, including:
  • the metaverse resource end sequentially outputs the metaverse data of all the sub-resource providers corresponding to each of the sub-target resources to the triggerer according to the output order corresponding to all the sub-target resources.
  • a second aspect of the present invention discloses a metaverse system.
  • the metaverse system includes a metaverse resource end, and the metaverse resource end includes:
  • a detection module used to detect the resource demand of the Metaverse triggered by the resource demand side, where the resource demand of the Metaverse includes identification information corresponding to the resource demand side;
  • a determination module configured to determine the metaverse portrait of the triggerer corresponding to the metaverse resource demand in the metaverse resource pool of the metaverse resource end based on the identification information corresponding to the resource demand end;
  • the determination module is also used to determine the target resources required by the resource demand side based on the identification information corresponding to the resource demand side and the Metaverse portrait corresponding to the triggerer;
  • a selection module configured to select a target resource provider that matches the target resource and the metaverse data of the target resource provider from all first resource providers in the metaverse resource pool;
  • An execution module configured to output the metaverse data of the target resource provider to the triggerer for the triggerer to view and perform interactive operations with the target resource provider;
  • the Metaverse resource pool stores a plurality of Metaverse portraits and a plurality of Metaverse data of the first resource providers, and the Metaverse data of each first resource provider includes the actual data of the first resource provider. Data corresponding to scene data one-to-one.
  • the metaverse resource terminal also includes:
  • a first communication module configured to receive a request to establish metaverse data in the metaverse resource pool sent by at least one second resource provider
  • the determination module is also configured to determine the resource data of the second resource provider according to the establishment request of the second resource provider.
  • the resource data of the second resource provider includes the identification corresponding to the second resource provider. information and/or resource provision data of the second resource provider;
  • the selection module is also configured to select from multiple Metaverse resources based on the resource data of the second resource provider and the resource management and control data of each of the Metaverse resource management and control terminals in the Metaverse resource pool. In the Metaverse resource management and control terminal, select the target Metaverse resource management and control terminal that matches the second resource provider;
  • the first communication module is also configured to send a verification prompt to the target metaverse resource management and control end.
  • the verification prompt includes the resource data of the second resource provider, and the verification prompt is used to prompt the
  • the target Metaverse resource management and control terminal verifies the resource data of the second resource provider, wherein each of the Metaverse resource management and control terminals has a unique corresponding actual resource management and control terminal;
  • the determination module is also configured to determine the actual scene data of the second resource provider when it is detected that the resource data sent by the target metaverse resource management and control end to represent the second resource provider passes the verification;
  • a generation module configured to generate, in the metaverse resource pool, one by one with the actual scene data of the second resource provider based on the actual scene data of the second resource provider and the resource data of the second resource provider.
  • all first resource providers include all second resource providers.
  • the generation module generates data in the metaverse resource pool based on the actual scene data of the second resource provider and the resource data of the second resource provider.
  • the specific method of generating metaverse data that corresponds one-to-one to the actual scene data of the second resource provider includes:
  • the actual scene data of the second resource provider is divided into sub-scenarios to obtain multiple sub-actual scene data, and based on the resource data of the second resource provider, the second resource provider is determined. types of resources provided;
  • the position of the second resource provider in the metaverse resource pool is determined, and the rendered three-dimensional model corresponding to each of the sub-actual scene data is , the location corresponding to the second resource provider and the resource data of the second resource provider, and generate metaverse data that corresponds one-to-one to the actual scene data of the second resource provider.
  • the target resource includes a plurality of sub-target resources, and each of the sub-target resources has at least one corresponding sub-resource provider.
  • the target resource provides The terminal includes all the sub-resource providing terminals;
  • the determination module is also configured to determine the resource type of each of the sub-target resources and the demand ranking of the sub-target resources according to the identification information corresponding to the resource demand end, and determine the resource type of each of the sub-target resources according to the resource requirements of each of the sub-target resources.
  • Type and demand sorting determine the output sorting of metaverse data of all sub-resource providers corresponding to the sub-target resource;
  • the execution module outputs the metaverse data of the target resource provider to the triggerer so that the triggerer can view and interact with the target resource provider in a specific manner including:
  • the metaverse data of all the sub-resource providers corresponding to each of the sub-target resources is sequentially output to the triggerer for the triggerer to view and use the resources.
  • the demand side performs interactive operations with all the sub-resource providers of the sub-target resource, wherein the interactive operation corresponding to each sub-target resource includes the resource demand side detecting that the triggerer obtains the information from the sub-target resource corresponding to the sub-target resource. Filter the required sub-resource providers from all the sub-resource providers and/or control the Metaverse portrait corresponding to the triggerer in the Metaverse resource pool, from all the sub-resources corresponding to the sub-target resource Sub-resource providers required for filtering in the provider.
  • the third aspect of the present invention discloses a metaverse resource end, and the metaverse resource end includes:
  • Memory that stores executable program code
  • a processor coupled to said memory
  • the processor calls the executable program code stored in the memory to execute some or all of the steps in any metaverse-based resource intelligent matching method disclosed in the first aspect of the present invention.
  • the fourth aspect of the present invention discloses a computer storage medium.
  • the computer storage medium stores computer instructions. When the computer instructions are called, they are used to execute any metaverse-based resource intelligence disclosed in the first aspect of the present invention. Match some or all steps in a method.
  • the Metaverse resource end detects the Metaverse resource demand triggered by the resource demand end.
  • the Metaverse resource demand includes the identification information corresponding to the resource demand end; the Metaverse resource end determines the Metaverse based on the identification information corresponding to the resource demand end.
  • the triggerer corresponding to the resource demand is the Metaverse portrait in the Metaverse resource pool on the Metaverse resource side; the Metaverse resource side determines the target required by the resource demand side based on the identification information corresponding to the resource demand side and the Metaverse portrait corresponding to the triggerer.
  • Resources; the Metaverse resource end selects the target resource provider and the Metaverse data of the target resource provider from all the resource providers in the Metaverse resource pool, and executes the output of the Metaverse data of the target resource provider to the triggerer.
  • the Metaverse resource pool stores multiple Metaverse portraits and Metaverse data of multiple resource providers.
  • the Metaverse data of each resource provider includes information related to the resource provider. Data corresponding to the actual scene data on the end. It can be seen that the embodiment of the present invention can automatically determine the resources required by the resource demand side based on the identification information corresponding to the resource demand side and the Metaverse portrait, and automatically screen the Metaverse data of the resource provider that can provide the resource in the Metaverse resource pool. Send it to the resource demand side or display it in the Metaverse resource pool, which facilitates the resource demand side and the resource provider to conduct online visual interaction in an immersive way.
  • the efficiency and accuracy of the interaction between the demand side and the resource provider make it easier for the resource demand side to obtain the required resources efficiently and accurately; and by selecting the matching resource provider, it is convenient for the resource provider to transfer the resources in the metaverse resource pool.
  • the resources provided by the resource demand side are efficiently and accurately converted from non-standardized resources into standardized resources, which is conducive to improving the credibility of the resources.
  • Figure 1 is a schematic flow chart of a metaverse-based resource intelligent matching method disclosed in an embodiment of the present invention
  • Figure 2 is a schematic flow chart of another metaverse-based resource intelligent matching method disclosed in an embodiment of the present invention.
  • Figure 3 is a schematic flow chart of the resource side of the metaverse disclosed in an embodiment of the present invention.
  • Figure 4 is a schematic structural diagram of another metaverse resource end disclosed in an embodiment of the present invention.
  • Figure 5 is a schematic structural diagram of yet another metaverse resource end disclosed in an embodiment of the present invention.
  • an embodiment means that a particular feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention.
  • the appearances of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art understand, both explicitly and implicitly, that the embodiments described herein may be combined with other embodiments.
  • the invention discloses an intelligent resource matching method and a Metaverse system based on the Metaverse, which can automatically determine the resources required by the resource demand end based on the identification information corresponding to the resource demand end and the Metaverse portrait, and automatically match the resources in the Metaverse
  • the pool filters the metaverse data of the resource provider that can provide the resource and sends it to the resource demander or displays it in the metaverse resource pool, which facilitates online visual interaction between the resource demander and the resource provider in an immersive way, and is no longer limited by the original While having the impact of physical locations and information not gathering together, it also improves the efficiency and accuracy of the interaction between the resource demand side and the resource provider side, thereby making it easier for the resource demand side to obtain the required resources efficiently and accurately; and by selecting matching resource providers. It is convenient for the resource provider to efficiently and accurately convert the resources provided by the resource demander from non-standardized resources into standardized resources in the Metaverse resource pool, which is conducive to improving the credibility of the resources. Detailed descriptions are given below.
  • FIG. 1 is a schematic flow chart of a resource intelligent matching method based on the metaverse disclosed in an embodiment of the present invention.
  • the method described in Figure 1 can be applied to the Metaverse system, which includes the Metaverse resource end, the resource demand end, multiple resource providers, and multiple resource management and control ends.
  • the resource intelligent matching method based on the Metaverse can include the following operations:
  • the Metaverse resource end detects the Metaverse resource demand triggered by the resource demand end.
  • the Metaverse resource demand includes identification information corresponding to the resource demand end.
  • the identification information corresponding to the resource demand end includes one or more of the device identification of the resource demand end, the identity identification of the triggerer of the Metaverse resource demand, the identification of the required resources, and the Metaverse portrait identification of the triggerer.
  • the required resources include item resources and/or non-item resources.
  • the resource demand side includes the triggerer's glasses wearing module, or the triggerer's glasses wearing module and the triggerer's body sensing module.
  • the resource demand end collects the information corresponding to the triggerer And based on this information, create a metaverse portrait of the triggerer and upload it to the metaverse resource end, or upload this information to the metaverse resource end, and the metaverse resource end will create a metaverse portrait for the triggerer based on this information, where, the information Including but not limited to the identity of the triggerer, the device identification of the resource demand side, and the three-dimensional identity of the triggerer.
  • One or more types of body information The more and more accurate the information contained in this way, the more conducive it is to improving the accuracy of establishing the portrait of the metaverse of the triggerer.
  • the Metaverse resource side determines the Metaverse portrait of the triggerer corresponding to the Metaverse resource demand in the Metaverse resource pool on the Metaverse resource side based on the identification information corresponding to the resource demand side.
  • the resource side of the Metaverse determines the target resources required by the resource demand side based on the identification information corresponding to the resource demand side and the Metaverse portrait corresponding to the triggerer.
  • the Metaverse resource terminal selects the target resource provider that matches the target resource and the Metaverse data of the target resource provider from all the first resource providers in the Metaverse resource pool.
  • the metaverse resource end executes outputting the metaverse data of the target resource provider to the triggerer, so that the triggerer can view and perform interactive operations with the target resource provider.
  • the Metaverse resource pool stores multiple Metaverse portraits and Metaverse data of multiple first resource providers.
  • the Metaverse data of each first resource provider includes actual scene data related to the first resource provider. One-to-one corresponding data. Further, the metaverse data of each first resource provider also includes resource data of the first resource provider.
  • resource data of each first resource provider please refer to the detailed description of the relevant content in the embodiment of the present invention, which will not be described again here. It should be noted that the metaverse resource pool can also be understood as the metaverse virtual space.
  • the implementation of the intelligent resource matching method based on the Metaverse described in Figure 1 can automatically determine the resources required by the resource demand side based on the identification information corresponding to the resource demand side and the Metaverse portrait, and automatically filter the resources in the Metaverse resource pool.
  • the metaverse data of the resource provider that provides the resource is sent to the resource demander or displayed in the metaverse resource pool, which facilitates online visual interaction between the resource demander and the resource provider in an immersive way, and is no longer limited to the original physical location.
  • the resource provider efficiently and accurately converts the resources provided by the resource demander from non-standardized resources into standardized resources in the Metaverse resource pool, which is conducive to improving the credibility of the resources.
  • the method may also include the following operations:
  • the Metaverse resource end receives a creation request for its Metaverse data in the Metaverse resource pool sent by at least one second resource provider;
  • the Metaverse resource end determines the resource data of the second resource provider according to the establishment request of the second resource provider.
  • the resource data of the second resource provider includes the identification information corresponding to the second resource provider and/or the resource provision of the second resource provider. data;
  • the Metaverse resource terminal Based on the resource data of the second resource provider and the resource management and control data of each Metaverse resource management and control terminal among the multiple Metaverse resource management and control terminals in the Metaverse resource pool, the Metaverse resource terminal selects and selects the third resource from the multiple Metaverse resource management and control terminals.
  • the second resource provider matches the target metaverse resource management and control end, and sends a verification prompt to the target metaverse resource management and control end.
  • the verification prompt includes the resource data of the second resource provider, and the verification prompt is used to prompt the target metaverse.
  • the resource management and control end verifies the resource data of the second resource provider, where each metaverse resource management and control end has a unique corresponding actual resource management and control end;
  • the Metaverse resource terminal determines the actual scene data of the second resource provider, and based on the actual scene data of the second resource provider and the resource data of the second resource provider. In the metaverse resource pool, metaverse data that corresponds one-to-one to the actual scene data of the second resource provider is generated.
  • all the above-mentioned first resource providers include all second resource providers.
  • the identification information corresponding to the second resource provider includes the device identification of the second resource provider and/or the resource identification of the resources provided by the second resource provider.
  • the resource provision data of the second resource provider includes a second resource provision type.
  • the resource provision type includes an item resource provision type and/or a non-item resource provision type, and the resource provision type includes a primary resource provision type and a secondary resource provision type.
  • the resource provision data also includes one or more of the resource provision scale, resource provision positioning, and resource location area. In this way, the more content the resource provision data contains, the more conducive to improving resource provision.
  • the verification accuracy on the supply side will be more conducive to improving the accuracy of the metaverse data establishment on the resource supply side.
  • resource management and control elements such as aluminum industry, apple industry, etc.
  • actual scene data corresponding to the resource management and control elements and corresponding to the actual scene data on the Yuanverse resource management and control end.
  • Resource management and control data includes resource management and control types
  • the resource management and control categories include item resource control categories and/or non-item resource control categories.
  • the resource management and control data also includes one or more of resource management and control scale, resource management and control category positioning, resource management and control area identification, and resource management and control process. In this way, the more content the resource management and control data contains, the more conducive it is to improving the resource management and control end.
  • the screening accuracy will improve the verification accuracy of the resource provider, which will be more conducive to improving the accuracy of the metaverse data establishment on the resource provider.
  • the method may also include the following steps:
  • the Metaverse resource management and control terminal determines the resource data of multiple resource providers in its corresponding Metaverse resource pool, sorts them according to the resource data of each resource provider, obtains all the sorted resource providers, and sorts each resource provider.
  • the metaverse data of the resource provider is displayed in its metaverse resource pool.
  • the Metaverse resource end generates the actual scene with the second resource provider in the Metaverse resource pool based on the actual scene data of the second resource provider and the resource data of the second resource provider.
  • Metaverse data corresponding to data one-to-one including:
  • the Metaverse resource end divides the actual scene data of the second resource provider into sub-scenarios according to the scene function division method to obtain multiple sub-actual scene data, and determines the content provided by the second resource provider based on the resource data of the second resource provider.
  • Resource Type
  • the Metaverse resource end establishes a three-dimensional model that matches the sub-actual scene data based on the resource type corresponding to the second resource provider and each sub-actual scene data and the function of the sub-actual scene data;
  • the Metaverse resource end determines the color of each sub-actual scene data, and renders the three-dimensional model of the sub-actual scene data based on the color of each sub-actual scene data to obtain the rendered three-dimensional model;
  • the Metaverse resource end determines the position of the second resource provider in the Metaverse resource pool based on the resource type provided by the second resource provider, and provides the second resource based on the rendered three-dimensional model corresponding to each sub-actual scene data.
  • the location corresponding to the end and the resource data of the second resource provider end are generated to generate metaverse data that corresponds one-to-one to the actual scene data of the second resource provider end.
  • this optional embodiment divides the actual scene data of the resource provider according to scene functions, and establishes a corresponding three-dimensional model according to the resource types that the resource provider can provide and the divided sub-actual scene data and its scene functions. , can improve the accuracy and efficiency of building three-dimensional models, and combined with the location in the Metaverse resource pool determined based on the provided resource types, the Metaverse data generated in the Metaverse resource pool can improve the generation of Metaverse data. Accuracy and reliability, obtaining vivid and accurate metaverse data that matches the actual scene.
  • the method may also include the following operations:
  • the Metaverse resource terminal detects at least one resource management and control terminal's establishment request triggered by the Metaverse resource pool.
  • the establishment request corresponding to each resource management and control terminal includes the resource management and control elements of the resource management and control terminal (such as aluminum industry, apple industry, etc.), the resource management and control
  • the resource side of the Metaverse determines the data type of each sub-resource management data and the control data of each sub-resource in the resource management and control data of the resource management and control side.
  • the Metaverse resource end calculates the data type integrity of the resource management and control end based on the data types of all sub-resource control data corresponding to the resource management and control end, and calculates the data volume of the resource management and control end based on the data volume of all sub-resource control data corresponding to the resource management and control end. Completion;
  • the Metaverse resource end determines whether the data type integrity of the resource management and control end is greater than or equal to the preset data type integrity threshold and whether the data volume integrity of the resource management and control end is greater than or equal to the preset data volume integrity;
  • the Metaverse resource end establishes the actual management and control scenario based on each sub-resource management and control data of the resource management and control end, the data type and data volume of the resource management and control data, the resource management and control elements, and the actual management and control scenarios corresponding to the resource management and control elements of the resource management and control end.
  • the Metaverse resource pool of each resource management and control terminal contains the Metaverse data of at least one resource provider.
  • the type of resource provider contained in the Metaverse resource pool of each resource management and control terminal is greater than or equal to 1.
  • the resource management and control end includes a physical campus management and control end and/or a local government management and control end.
  • Metaverse resource pool there is a basic Metaverse resource pool, and a Metaverse resource pool for resource management and control can be continuously established in the basic Metaverse resource pool.
  • this optional embodiment calculates the data type integrity of the resource management and control end through the data type of each resource management and control data on the resource management and control end and the data volume of each resource management and control data to calculate the data volume integrity of the resource management and control end, and based on the data type Integrity and data volume integrity verify the qualifications of the resource management and control end, which can improve the accuracy and reliability of the qualification verification of the resource management and control end, and are based on each sub-resource control data and the data type, data volume and resource of the resource control data.
  • the actual management and control scenario corresponding to the management and control end.
  • Establishing the Metaverse resource pool corresponding to the resource management and control end in the Metaverse resource pool can improve the accuracy of establishing the Metaverse resource pool on the resource management and control end, and obtain the same metaverse scenario as the actual scenario on the resource management and control end.
  • the universe resource pool provides an immersive browsing interactive experience for resource demanders anytime and anywhere.
  • Figure 2 is a schematic flow chart of another metaverse-based resource intelligent matching method disclosed in an embodiment of the present invention.
  • the method described in Figure 2 can be applied to the Metaverse system, which includes the Metaverse resource end, the resource demand end, multiple resource providers, and multiple resource management and control ends.
  • the resource intelligent matching method based on the Metaverse can include the following operations:
  • the Metaverse resource end detects the Metaverse resource demand triggered by the resource demand end.
  • the Metaverse resource demand includes identification information corresponding to the resource demand end.
  • the Metaverse resource side determines the Metaverse portrait of the triggerer corresponding to the Metaverse resource demand in the Metaverse resource pool on the Metaverse resource side based on the identification information corresponding to the resource demand side.
  • the Metaverse resource end determines the target resources required by the resource demand end based on the identification information corresponding to the resource demand end and the Metaverse portrait corresponding to the triggerer.
  • the target resources include multiple sub-target resources, and each sub-target resource has at least one The corresponding sub-resource provider, the target resource provider includes all sub-resource providers.
  • the resource end of the Metaverse determines the resource type of each sub-target resource and the demand ranking of the sub-target resource based on the identification information corresponding to the resource demand end.
  • the Metaverse resource end determines the output order of Metaverse data of all sub-resource providers corresponding to the sub-target resource based on the resource type and demand sorting of each sub-target resource.
  • the Metaverse resource terminal selects the sub-resource provider matching each sub-target resource and the Metaverse data of the sub-resource provider from all the first resource providers in the Metaverse resource pool.
  • the Metaverse resource end sequentially outputs the Metaverse data of all sub-resource providers corresponding to each sub-target resource to the triggerer according to the output sorting corresponding to all sub-target resources, for the triggerer to view and communicate with the sub-target resource through the resource demand end. All sub-resource providers perform interactive operations.
  • the metaverse resource pool stores multiple metaverse portraits and metaverse data of multiple first resource providers.
  • Each The metaverse data of a resource provider includes data corresponding to the actual scene data of the first resource provider.
  • the interactive operation corresponding to each sub-target resource includes the resource demand end detecting the trigger to select the required sub-resource provider from all the sub-resource providers corresponding to the sub-target resource and/or controlling the trigger corresponding to the sub-resource provider.
  • the Metaverse portrait is in the Metaverse resource pool.
  • the Metaverse portrait corresponding to the control trigger is in the Metaverse resource pool.
  • the required sub-resource provider is selected from all sub-resource providers corresponding to the sub-target resource.
  • steps 201 to 203, step 206, and step 207 please refer to the detailed descriptions of other contents of steps 101 to 105 in Embodiment 1, which will not be described again here.
  • the implementation of the Metaverse-based intelligent resource matching method described in Figure 2 can automatically determine the resources required by the resource demand side based on the identification information corresponding to the resource demand side and the Metaverse portrait, and automatically filter the resources in the Metaverse resource pool.
  • the metaverse data of the resource provider that provides the resource is sent to the resource demander or displayed in the metaverse resource pool, which facilitates online visual interaction between the resource demander and the resource provider in an immersive way, and is no longer limited to the original physical location.
  • the resource demand side improves the interaction efficiency and accuracy between the resource demand side and the resource provider side, thereby making it easier for the resource demand side to obtain the required resources efficiently and accurately; and by selecting the matching resource provider side, it is convenient
  • the resource provider efficiently and accurately converts the resources provided by the resource demander from non-standardized resources into standardized resources in the Metaverse resource pool, which is beneficial to improving the credibility of the resources.
  • the resource demand side selects and sequentially outputs the metaverse data of the corresponding sub-resource provider according to the demand order, which can improve the accuracy of the metaverse data corresponding to each resource type.
  • Output accuracy, and accurately supply the resource demand side to view and interact with the sub-resource provider can further improve the efficiency and accuracy of the interaction between the resource demand side and the sub-resource provider, thereby further improving the resource demand side.
  • Gain efficiency and accuracy can be used to improve the resource demand side to view and interact with the sub-resource provider, thereby further improving the resource demand side.
  • the Metaverse resource end outputs the Metaverse data of the target resource provider to the triggerer, so that the triggerer can view and perform interactive operations with the target resource provider, including:
  • the Metaverse resource end sends the Metaverse data of the target resource provider to the resource demand end for the triggerer to view and interacts with the target resource provider through the resource demand end and the Metaverse resource pool of the Metaverse resource end; or,
  • the Metaverse resource side displays the Metaverse data of the target resource provider in the Metaverse resource pool of the Metaverse resource side to the Metaverse portrait corresponding to the triggerer, so that the resource demand side controls the Metaverse portrait corresponding to the triggerer on the Metaverse resource side. Interact with the metaverse image corresponding to the target resource provider in the universe resource pool.
  • this optional embodiment enriches the metaverse of the resource provider by sending the metaverse data of the resource provider to the resource demander or directly displaying the metaverse portrait corresponding to the resource demander in the metaverse resource pool of the metaverse resource end.
  • the output method of universe data is conducive to improving the output efficiency of the metaverse data on the resource provider side, which in turn is conducive to further improving the interaction efficiency between the resource demand side and the resource provider side; and by directly displaying the metaverse data on the resource provider side in the metaverse resource pool , improves the output accuracy and vividness of metaverse data, improves the interaction efficiency between the resource demand side and the resource provider side, and improves the accuracy and flexibility of interaction.
  • the metaverse data of the target resource provider when the target resource includes an item resource, also includes data of at least one target item that matches the type of the item resource;
  • the resource demand side controls the Metaverse portrait corresponding to the triggerer to interact with the Metaverse portrait on the target resource provider side in the Metaverse resource pool on the Metaverse resource side, including:
  • the resource demand side controls the Metaverse portrait corresponding to the triggerer, browses the data of each target item in the Metaverse resource pool on the Metaverse resource side, and filters the required target items from all target items;
  • the resource demand side controls the Metaverse portrait corresponding to the triggerer to send the customized requirements for the required target items to the Metaverse portrait of the target resource provider to trigger the Metaverse portrait of the target resource provider to send
  • the target resource provider sends customization requirements, and the customization requirements include the required data of the target items.
  • the Metaverse portrait when the resource demander needs to purchase items, the Metaverse portrait is directly controlled to browse the items in the Metaverse resource pool. Use product data to purchase, and after purchasing the required items, directly control the Metaverse portrait to send a customization request for the selected shopping items to the resource provider, which can provide an immersive item purchasing method and improve the selection of items. Purchase accuracy and improve the experience.
  • the method may further include the following steps:
  • the target end determines the virtual model of the items and the processing data of the items that the resource demand end needs to process.
  • the target end includes the Metaverse resource end or the resource demand end;
  • the target end sorts the required sub-resource providers based on the output sorting corresponding to all sub-target resources.
  • the first sub-resource provider serves as the current sub-resource provider, and sends the virtual model of the items that the resource demand side needs to process and the processing data of the items to the current sub-resource provider to trigger the current sub-resource provider to process the items according to Data, in the metaverse resource pool, perform an operation on the virtual model of the item that matches the resource type corresponding to the current sub-resource provider, and determine the target virtual model of the item and the target processing data of the item after executing the operation;
  • the target end updates the next sub-resource provider to the current sub-resource provider according to the output order corresponding to all sub-target resources and updates the target virtual model of the item and the target processing data of the item to the virtual model of the item and the processing data of the item. And re-execute the above process to send the virtual model of the item to be processed by the resource demand side and the processing data of the item to the current sub-resource provider, so as to trigger the current sub-resource provider to process the item in the metaverse resource pool according to the processing data of the item.
  • the current sub-resource provider determines the output order corresponding to all sub-target resources, and selects the next sub-resource provider from all sub-resource providers according to the output order corresponding to all sub-target resources, and combines the target virtual model of the item with the item.
  • the target processing data is sent to the next sub-resource provider to trigger the next sub-resource provider to process the data according to the item's target.
  • the target virtual model execution of the item corresponds to the next sub-resource provider.
  • the resource type matching operation is performed, and the target virtual model of the item and the target processing data of the item are determined after the operation is performed, until all required sub-resource providers have completed the matching operation.
  • the virtual model of the item and the processing data of the item that the resource demand end needs to process can be carried in the Metaverse resource requirement.
  • the resource demand side after the resource demand side determines the resource providers of each resource type required, the resource demand side sends the required processing items to the corresponding resource providers in sequence according to the demand order of the resources required by the resource demand side.
  • the data allows the resource provider to process items in the metaverse resource pool, which can improve the interaction efficiency between the resource demand end or the metaverse resource end and the resource provider, thereby improving the efficiency of item processing; and after the previous resource provider has completed processing
  • the data after processing the item is sent to the next resource provider, and the process is repeated in sequence until the last resource provider completes processing the item. This can improve the processing accuracy and reliability of the item while processing it step by step; and is conducive to follow-up
  • the resource provider traces the processing process of items.
  • the method may further include the following steps:
  • the last required sub-resource provider will obtain the target virtual model of the item and the target processing data of the item and send them to all required sub-resource providers. All but the last required sub-resource provider in the sub-resource provider is used for that sub-resource provider to update its metaverse data and send it to the target for viewing by the triggerer and/or storage by the target.
  • This optional embodiment also includes: each time the sub-resource provider completes the matching operation, the target virtual model of the item on the sub-resource provider and the processing data of the item, the identification information corresponding to the resource demand end, the sub-resource provider
  • the resource data and processing time of the resource provider generate the processing data of the item processed by the sub-resource provider, and send it to the next resource provider, resource demand end and metaverse resource end at the same time; the execution of the item is completed at all sub-resource providers
  • the resource demand end or the Metaverse resource end generates the traceability data of the item based on the received processing data sent by each sub-resource provider, and displays it in the Metaverse resource pool. In this way, by visualizing the data obtained from all operations that the items have undergone, it is conducive to all parties to trace their origins and effectively manage them.
  • the last resource provider automatically sends the final item to all other resource providers, resource demanders, and metaverse resource ends that have processed the items.
  • the processing data and virtual model are used so that each end can visually trace the entire processing process of the item, which improves the efficiency, accuracy and intuitiveness of the traceability of the item.
  • the method may further include the following steps:
  • the Metaverse resource end will sell the items corresponding to the resource demand end in the Metaverse resource pool using the system digital trade model.
  • the system digital trade model includes One or more of the direct sales trade model, cloud warehouse direct sales model and cloud warehouse split account distribution trade model. Among them, the direct sales trade model, cloud warehouse direct sales model and cloud warehouse split-account distribution trade model all have cargo flow characteristics, ticket flow characteristics and cash flow characteristics.
  • the system digital trade model is the direct sales trade model or cloud warehouse direct sales model or cloud warehouse
  • the goods flow feature is used to represent the direct shipment from the seller to the counterparty buyer
  • the ticket flow feature is used to represent the direct shipment from the seller to the counterparty buyer
  • the system's digital trade mode is direct sales In the trade mode or cloud warehouse direct sales mode
  • the cash flow feature is used to represent the direct payment from the buyer to the counterparty seller
  • the cloud warehouse split-account distribution trade model when the system's digital trade model is the cloud warehouse split-ledger distribution trade model, the cash flow
  • the feature is used to directly pay the buyer side to the counterparty seller side, and the seller side then distributes the accounts to the agent side, distribution side and other roles that assist in sales.
  • the transportation equipment collects video surveillance data and/or non-video surveillance data during the transportation of the items, such as temperature control information, transportation route information, etc., and uses the collected video surveillance data to and/or non-video surveillance data are synchronized to all sub-resource providers, resource demanders and metaverse resource ends associated with the item in the Metaverse resource pool for storage and display.
  • the items corresponding to the resource demand side undergo multi-level processing, the items are sold through multiple sales methods in the Metaverse resource pool, which can improve the sales efficiency of the items, thereby maximizing the item resources. and by synchronizing the data of items during transportation to the Metaverse resource pool for visualization, so that all parties can quickly and clearly know the transportation status of items anytime and anywhere.
  • the present invention is illustrated below by taking the resource demand end as the apple planting farmer end, the resource monitoring end as the apple agricultural product physical park management end, and the resource supply end as the apple industry chain (such as cleaning, grading, quality inspection, etc.) related enterprise end:
  • the management side of the physical park of apple agricultural products has established its metaverse resource pool, including park scenarios for establishing enterprises and enterprise business display process scenarios; cleaning and grading equipment factories, classification testing institutions, deep processing enterprises, cold storage enterprises, and financial institutions related to the apple industry chain have settled in The Yuanverse resource pool establishes enterprise production processes, business reception and other process scenarios for users to experience and visit; apple planting farmers settle in the Yuanverse and provide or select user portraits to establish Yuanverse users; select cleaning and grading equipment through intelligent recommendations for the Yuanverse Digital Park Companies that purchase cleaning and grading services from factories can experience and visit them, and make sure they choose to purchase the service; farmers can choose Yuanshi Digital Park to provide testing institutions, and companies that test cleaned and graded apples can experience and visit them, and make sure they choose to purchase them.
  • farmers will differentiate and process the products after cleaning, grading and testing; farmers can choose the cold storage storage service company provided by Yuanverse Digital Park to experience and visit, and decide to choose to purchase the service to store the high-quality apples that have been cleaned, graded and tested. Storage; farmers can choose the deep processing service companies provided by Yuanshi Digital Park to experience and visit, and confirm their choice to purchase services.
  • Apples with different qualities that have been cleaned, graded and tested will be made into apple juice and other products through deep processing companies, and then choose cold storage Storage service companies carry out storage; farmers can use warehouse receipts that have been cleaned, graded, and inspected and merged into cold storage to find financial institutions in the Yuanverse Digital Park to experience and visit, and decide to choose to purchase services and determine the pledge of warehouse receipts from financial institutions; farmers' terminals It can be sold through at least three digital trade models provided by Yuanverse, including the direct sales trade model, the cloud warehouse direct sales model, and the cloud warehouse split-account distribution trade model; purchasing users can visually trace Apple’s circulation information/traceability through the entire process of the Yuanverse resource pool information.
  • Figure 3 is a schematic structural diagram of a metaverse system disclosed in an embodiment of the present invention.
  • the Metaverse system described in Figure 3 includes the Metaverse resource end, and as shown in Figure 3, the Metaverse resource end includes:
  • the detection module 301 is used to detect the resource demand of the metaverse triggered by the resource demand side.
  • the resource demand of the metaverse includes the corresponding resource demand side. identification information;
  • the determination module 302 is used to determine the Metaverse portrait of the triggerer corresponding to the Metaverse resource demand in the Metaverse resource pool on the Metaverse resource side based on the identification information corresponding to the resource demand side;
  • the determination module 302 is also used to determine the target resources required by the resource demand side based on the identification information corresponding to the resource demand side and the Metaverse portrait corresponding to the triggerer;
  • the selection module 303 is used to select the target resource provider that matches the target resource and the metaverse data of the target resource provider from all the first resource providers in the metaverse resource pool;
  • the execution module 304 is used to output the metaverse data of the target resource provider to the triggerer, so that the triggerer can view and perform interactive operations with the target resource provider;
  • the Metaverse resource pool stores multiple Metaverse portraits and Metaverse data of multiple first resource providers.
  • the Metaverse data of each first resource provider includes one-to-one correspondence with the actual scene data of the first resource provider. data.
  • the implementation of the Metaverse system described in Figure 3 automatically determines the resources required by the resource demand side based on the identification information corresponding to the resource demand side and the Metaverse portrait, and automatically selects resource providers that can provide the resources in the Metaverse resource pool.
  • the metaverse data from the end is sent to the resource demand end or displayed in the metaverse resource pool, which facilitates the resource demand end and the resource provider to conduct online visual interaction in an immersive way, and is no longer limited by the original physical location and the impact of information not gathering.
  • the interaction efficiency and accuracy between the resource demand side and the resource provider side are improved, so that the resource demand side can obtain the required resources efficiently and accurately; and by selecting the matching resource provider side, it is convenient for the resource provider side to be in the metaverse.
  • the resources provided by the resource demand side are efficiently and accurately converted from non-standardized resources into standardized resources, which is conducive to improving the credibility of the resources.
  • the metaverse resource terminal also includes:
  • the first communication module 305 is configured to receive a request for establishing metaverse data in the metaverse resource pool sent by at least one second resource provider;
  • the determination module 302 is also configured to determine the resource data of the second resource provider according to the establishment request of the second resource provider.
  • the resource data of the second resource provider includes identification information corresponding to the second resource provider and/or the second resource provider. End resources provide data;
  • the selection module 303 is also used to select from the multiple Metaverse resource management and control terminals based on the resource data of the second resource provider and the resource management and control data of each Metaverse resource management and control terminal among the multiple Metaverse resource management and control terminals in the Metaverse resource pool. Screen the target metaverse resource management and control terminal that matches the second resource provider;
  • the first communication module 305 is also configured to send a verification prompt to the target metaverse resource management and control end.
  • the verification prompt includes the resource data of the second resource provider, and the verification prompt is used to prompt the target metaverse resource management and control end to verify the second resource provider.
  • the resource data of the two resource providers is verified, and each metaverse resource management and control terminal has a unique corresponding actual resource management and control terminal;
  • the determination module 302 is also configured to determine the actual scene data of the second resource provider when it is detected that the resource data sent by the target metaverse resource management and control end to represent the second resource provider passes the verification;
  • the generation module 306 is configured to generate, in the metaverse resource pool, metaverse data that corresponds one-to-one to the actual scene data of the second resource provider based on the actual scene data of the second resource provider and the resource data of the second resource provider.
  • the implementation of the Metaverse system described in Figure 4 can, when there is a resource provider that needs to establish its Metaverse data, automatically establish the same data as the actual scene in the Metaverse resource pool based on the actual scene data and resource data of the resource provider.
  • the corresponding metaverse data can provide other parties with an immersive browsing and selection experience online that is consistent with the actual scene, so that other parties can interact with the resource provider anytime and anywhere, improving interaction efficiency and enriching the metaverse. resource pool; and verify its resource data by automatically matching it with the appropriate Metaverse resource management and control terminal in the Metaverse resource pool, and after passing the verification, the process of establishing other Metaverse data for the resource provider can be executed.
  • operation which can improve the execution accuracy and reliability of the operation, thereby helping to reduce the entry of illegal resource providers into Metaverse resources
  • the occurrence of the pool ensures that while enriching the metaverse resource pool, an accurate and reliable metaverse resource pool can be obtained.
  • the generation module 306 generates, in the metaverse resource pool, the second resource provider based on the actual scene data of the second resource provider and the resource data of the second resource provider.
  • the specific methods of one-to-one correspondence with the actual scene data on the end of the metaverse data include:
  • the scene function division method divide the actual scene data of the second resource provider into sub-scenarios to obtain multiple sub-actual scene data, and determine the resource type provided by the second resource provider based on the resource data of the second resource provider;
  • the second resource provider determine the position of the second resource provider in the metaverse resource pool, and based on the rendered three-dimensional model corresponding to each sub-actual scene data, the corresponding position of the second resource provider and the resource data of the second resource provider to generate metaverse data that corresponds one-to-one to the actual scene data of the second resource provider.
  • the implementation of the metaverse system described in Figure 4 can also be achieved by dividing the actual scene data on the resource provider by scene functions, and based on the resource types that the resource provider can provide and the divided sub-actual scene data and their scene functions. Establishing the corresponding three-dimensional model can improve the accuracy and efficiency of establishing the three-dimensional model, and combined with the location in the metaverse resource pool determined based on the provided resource type, the metaverse data generated in the metaverse resource pool can improve its The accuracy and reliability of metaverse data generation ensure vivid and accurate metaverse data that matches the actual scene.
  • the target resource includes multiple sub-target resources, each sub-target resource has at least one corresponding sub-resource provider, and the target resource provider includes all sub-resource providers;
  • the determination module 302 is also used to determine the resource type of each sub-target resource and the demand ranking of the sub-target resources according to the identification information corresponding to the resource demand side, and determine the sub-target resources according to the resource type and demand ranking of each sub-target resource.
  • the execution module 304 executes outputting the metaverse data of the target resource provider to the triggerer, and the specific methods for the triggerer to view and perform interactive operations with the target resource provider include:
  • the metaverse data of all sub-resource providers corresponding to each sub-target resource is output to the triggerer in order for the triggerer to view and communicate with all sub-resource providers of the sub-target resource through the resource demand side.
  • the Metaverse data of each first resource provider includes actual scene data related to the first resource provider. One-to-one corresponding data.
  • the implementation of the Metaverse system described in Figure 4 can also select the resource demand side by determining the resource type and demand ranking of each resource required by the resource demand side and sequentially output the Metaverse data of the corresponding sub-resource provider according to the demand ranking. It can improve the output accuracy of Metaverse data corresponding to each resource type, and accurately supply resource demanders to view and interact with sub-resource providers. It can further improve the interaction efficiency and accuracy between resource demanders and sub-resource providers. , thereby further improving the efficiency and accuracy of obtaining resources required on the resource demand side.
  • the Metaverse system also includes a resource demand end and multiple resource providers;
  • the determination module 302 is also used to determine the virtual model and the processing data of the items that need to be processed by the resource demand end.
  • the target end includes the metaverse resource end or the resource demand end;
  • the selection module 303 is also configured to, after detecting that the triggerer selects sub-resource providers from all sub-resource providers corresponding to each sub-target resource, sort the required sub-resources according to the output corresponding to all sub-target resources.
  • the sub-resource provider that ranks first among the providers is the current sub-resource provider;
  • the metaverse system also includes:
  • the second communication module 307 is used to send the virtual model of the item to be processed by the resource demand side and the processing data of the item to the current sub-resource provider, so as to trigger the current sub-resource provider to process the item in the metaverse resource pool based on the processing data of the item. , perform a matching operation on the virtual model of the item with the resource type corresponding to the current sub-resource provider, and determine the target virtual model of the item and the target processing data of the item after executing the operation;
  • the update module 308 is used to update the next sub-resource provider to the current sub-resource provider according to the output order corresponding to all sub-target resources, and update the target virtual model of the item and the target processing data of the item to the virtual model and item of the item.
  • the second communication module 307 triggers the second communication module 307 to re-execute the above-mentioned process of sending the virtual model of the item required to be processed by the resource demand end and the processing data of the item to the current sub-resource provider, so as to trigger the current sub-resource provider to process the item according to the Processing data, in the metaverse resource pool, perform an operation on the virtual model of the item that matches the resource type corresponding to the current sub-resource provider, and determine the target virtual model of the item and the target processing data of the item after executing the operation Operation until all required sub-resource providers have completed matching operations; or,
  • the current sub-target resource is used to determine the output sorting corresponding to all sub-target resources, and according to the output sorting corresponding to all sub-target resources, select the next sub-resource provider from all sub-resource providers, and set the target virtual model of the item And the target processing data of the item is sent to the next sub-resource provider to trigger the next sub-resource provider to execute the target virtual model of the item and provide the next sub-resource in the metaverse resource pool according to the target processing data of the item. Match the resource type corresponding to the end, and determine the target virtual model of the item and the target processing data of the item after performing the operation, until all required sub-resource providers have completed the matching operation.
  • the implementation of the Metaverse system described in Figure 4 can also be achieved by determining the resource provider for each required resource type on the resource demand side, and then sequentially providing resources to the corresponding resource provider according to the demand order of the resources required by the resource demand side.
  • Sending the data of the items that need to be processed so that the resource provider can process the items in the metaverse resource pool can improve the interaction efficiency between the resource demand end or the metaverse resource end and the resource provider, thereby improving the efficiency of item processing; and in the above After one resource provider finishes processing the item, it sends the data after processing the item to the next resource provider, and repeats in sequence until the last resource provider finishes processing the item. This can improve the accuracy and reliability of item processing while processing in steps. safety; and it is conducive to subsequent resource providers to trace the processing process of items.
  • the last required sub-resource provider is used to obtain the target virtual model of the item and the object's value after all required sub-resource providers have completed matching operations.
  • the target processing data is sent to all sub-resource providers except the last required sub-resource provider for the sub-resource provider to update its metaverse data, and to the target. , for viewing by the triggerer and/or storage by the target.
  • the last resource provider automatically sends the final item to all other resource providers, resource demanders, and metaverse resource ends that have processed the items.
  • the processing data and virtual model are used so that all ends can trace the entire processing process of items, which improves the efficiency and accuracy of item traceability.
  • the execution module 303 outputs the metaverse data of the target resource provider to the triggerer, so that the triggerer can view and perform interactive operations with the target resource provider in a specific manner.
  • the Metaverse data of the target resource provider is displayed to the Metaverse portrait corresponding to the triggerer, so that the resource demand side can control the Metaverse portrait corresponding to the triggerer in the Metaverse resource pool on the Metaverse resource side. Interact with the Metaverse portrait corresponding to the target resource provider.
  • implementing the system as described in 3 or 4 enriches resources by sending the metaverse data of the resource provider to the resource demand side or directly displaying the corresponding metaverse portrait of the resource demand side in the metaverse resource pool of the metaverse resource side.
  • the output method of the Metaverse data on the provider side is conducive to improving the output efficiency of the Metaverse data on the resource provider side, which in turn is conducive to further improving the interaction efficiency between the resource demand side and the resource provider side; and by directly displaying the resource provider end in the Metaverse resource pool.
  • Metaverse data improves the output of metaverse data Accuracy and vividness, while improving the interaction efficiency between the resource demand side and the resource provider side, also improve the accuracy and flexibility of interaction.
  • the metaverse data of the target resource provider when the target resource includes an item resource, also includes data of at least one target item that matches the type of the item resource;
  • the specific ways in which the resource demand side controls the Metaverse portrait corresponding to the triggerer to interact with the Metaverse portrait on the target resource provider side in the Metaverse resource pool on the Metaverse resource side include:
  • the Metaverse portrait corresponding to the triggerer is controlled to send the customized requirements for the required target items to the Metaverse portrait of the target resource provider, so as to trigger the Metaverse portrait of the target resource provider to provide the target resources.
  • the client sends customization requirements, which include the required data of the target items.
  • the resource demand side when the resource demand side needs to purchase items, it directly controls the Metaverse portrait to browse item data in the Metaverse resource pool for purchase, and after purchasing the required items, directly controls the Metaverse portrait
  • Sending a customization request for the selected shopping items to the resource provider can provide an immersive way to purchase items, improve the accuracy of item selection and enhance the experience.
  • the detection module 301 is also used to detect the establishment request triggered by at least one resource management and control terminal for the Metaverse resource pool.
  • the establishment request corresponding to each resource management and control terminal includes the The resource management and control elements on the resource management and control end, the actual management and control scenarios corresponding to the resource management and control elements on the resource management and control end, and the resource management and control data corresponding to the actual management and control scenarios;
  • the determination module 302 is also used to determine the data type of each sub-resource management and control data and the data amount of each sub-resource management and control data in the resource management and control data of the resource management and control end;
  • the metaverse resource side also includes:
  • the calculation module 309 is used to calculate the data type integrity of the resource management and control end based on the data types of all sub-resource management and control data corresponding to the resource management and control end, and calculate the data type integrity of the resource management and control end based on the data volume of all sub-resource management and control data corresponding to the resource management and control end. Data volume completeness;
  • the judgment module 310 is used to judge whether the data type integrity of the resource management and control end is greater than or equal to the preset data type integrity threshold and whether the data volume integrity of the resource management and control end is greater than or equal to the preset data volume integrity;
  • the establishment module 311 is used to, when the judgment result is yes, according to each sub-resource management and control data of the resource management and control end, the data type and data volume of the resource management and control data, the resource management and control elements of the resource management and control end, and the actual corresponding resource management and control elements of the resource management and control end.
  • a Metaverse resource pool on the resource management and control side is established as a Metaverse resource pool on the Metaverse resource side;
  • the Metaverse resource pool of each resource management and control terminal contains the Metaverse data of at least one resource provider.
  • the type of resource provider contained in the Metaverse resource pool of each resource management and control terminal is greater than or equal to 1.
  • this optional embodiment calculates the data type integrity of the resource management and control end through the data type of each resource management and control data on the resource management and control end and the data volume of each resource management and control data to calculate the data volume integrity of the resource management and control end, and based on the data type Integrity and data volume integrity verify the qualifications of the resource management and control end, which can improve the accuracy and reliability of the resource management and control end's qualification verification, and are based on each sub-resource control data and the data type, data volume and resources of the resource control data.
  • the actual management and control scenario corresponding to the management and control end.
  • Establishing the Metaverse resource pool corresponding to the resource management and control end in the Metaverse resource pool can improve the accuracy of establishing the Metaverse resource pool on the resource management and control end, and obtain the same metaverse scenario as the actual scenario on the resource management and control end.
  • the universe resource pool provides an immersive browsing interactive experience for resource demanders anytime and anywhere.
  • FIG. 5 is a schematic structural diagram of yet another metaverse resource end disclosed in an embodiment of the present invention.
  • the metaverse resource end can include:
  • Memory 401 storing executable program code
  • processor 402 coupled to memory 401;
  • it may also include an input interface 403 and an output interface 404 coupled with the processor 402;
  • the processor 402 calls the executable program code stored in the memory 401 to execute part or all of the steps of the metaverse-based resource intelligent matching method disclosed in Embodiment 1 or 2 of the present invention.
  • the embodiment of the present invention discloses a computer storage medium.
  • the computer storage medium stores computer instructions. When the computer instructions are called, they are used to execute the resource intelligent matching method based on the metaverse disclosed in the first or second embodiment of the present invention. some or all of the steps.
  • the device embodiments described above are only illustrative.
  • the modules described as separate components may or may not be physically separated.
  • the components shown as modules may or may not be physical modules, that is, they may be located in One place, or it can be distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Persons of ordinary skill in the art can understand and implement the method without any creative effort.
  • each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware.
  • the above technical solutions can be embodied in the form of software products in essence or in part that contribute to the existing technology.
  • the computer software products can be stored in computer-readable storage media, and the storage media includes read-only memories.
  • Read-Only Memory ROM
  • RAM Random Access Memory
  • PROM Programmable Read-only Memory
  • EPROM Erasable Programmable Read Only Memory
  • OTPROM One-time Programmable Read-Only Memory
  • EEPROM Electronically Erasable Programmable Read-Only Memory
  • CD-ROM CompactDisc Read- Only Memory
  • CD-ROM CompactDisc Read- Only Memory
  • metaverse-based resource intelligent matching method and metaverse system disclosed in the embodiments of the present invention are only preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention. It is not limited thereto; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that they can still modify the technical solutions recorded in the foregoing embodiments, or modify some of the technical features thereof. Equivalent substitutions are made; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions of the various embodiments of the present invention.

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Abstract

L'invention concerne un procédé de mise en correspondance de ressources intelligentes basé sur des métavers et un système de métavers. Le procédé permet de déterminer automatiquement et avec précision une ressource requise par une extrémité de demande de ressource selon des informations d'identification correspondant à l'extrémité de demande de ressource, et de cribler automatiquement un groupe de ressources de métavers pour trouver les données de métavers d'une extrémité de fourniture de ressource capable de fournir ladite ressource, et d'envoyer lesdites données à l'extrémité de demande de ressource, ou d'afficher les données dans le groupe de ressources de métavers de façon à permettre une interaction visualisable en ligne immersive entre l'extrémité de demande de ressource et l'extrémité de fourniture de ressource ; l'efficacité et la précision d'interaction entre l'extrémité de demande de ressource et l'extrémité de fourniture de ressource sont améliorées tout en n'étant plus limitées par un emplacement physique d'origine et les effets d'informations n'étant pas rassemblés, ce qui aide l'extrémité de demande de ressource à obtenir efficacement et avec précision des ressources requises ; de plus, la sélection d'une extrémité de fourniture de ressource correspondante permet à une extrémité de fourniture de ressource de convertir dans le groupe de ressources métavers les ressources fournies par l'extrémité de demande de ressource à partir de ressources efficaces et précises non normalisées en ressources normalisées, ce qui aide à améliorer la crédibilité de ressource.
PCT/CN2023/110159 2022-08-05 2023-07-31 Procédé de mise en correspondance de ressources intelligentes à base de métavers, et système de métavers WO2024027624A1 (fr)

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