WO2024027624A1

WO2024027624A1 - Metaverse-based intelligent resource matching method, and metaverse system

Info

Publication number: WO2024027624A1
Application number: PCT/CN2023/110159
Authority: WO
Inventors: 李军棉; 罗凝; 冯璋裕
Original assignee: 广州市格利网络技术有限公司
Priority date: 2022-08-05
Filing date: 2023-07-31
Publication date: 2024-02-08
Also published as: CN115063210A; CN115063210B

Abstract

Disclosed are a metaverse-based intelligent resource matching method and a metaverse system. The method allows for automatically and accurately determining a resource required by a resource demanding end according to identification information corresponding to the resource demanding end, and automatically screening a metaverse resource pool to find the metaverse data of a resource providing end capable of providing said resource, and sending said data to the resource demanding end, or displaying the data in the metaverse resource pool so as to allow immersive online visualizable interaction between the resource demanding end and the resource providing end; the interaction efficiency and accuracy between the resource demanding end and the resource providing end are improved while no longer being limited by an original physical location and the effects of information not being gathered, thus helping the resource demanding end to efficiently and accurately obtain required resources; moreover, selecting a matching resource providing end allows a resource providing end to convert within the metaverse resource pool the resources provided by the resource demanding end from non-standardized efficient and accurate resources to standardized resources, thereby helping to improve resource credibility.

Description

Resource intelligent matching method and metaverse system based on metaverse

Technical field

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.

Background technique

With the rapid development of digital technology, digital technology is applied to all walks of life, such as the agricultural products industry. By using 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.

However, practice has found that existing digital technology simply digitizes data in actual scenarios and displays it to the demander, and still cannot enable effective interaction between the demander and the provider. Therefore, it is particularly important to propose a technical solution on how to improve the interaction efficiency between demanders, providers, etc., so as to improve the demander's efficient acquisition of required resources.

Contents of the invention

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.

In order to solve the above technical problems, 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;

Wherein, 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.

As an optional implementation, in the first aspect of the present invention, 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;

For any of the second resource providers:

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. In the Metaverse resource management and control terminal, 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;

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 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.

As an optional implementation manner, in the first aspect of the present invention, 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. In the resource pool, 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 resource type provided by 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.

As an optional implementation manner, in the first aspect of the present invention, 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;

And, 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;

Wherein, 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. View and perform interactive operations with all sub-resource providers of the sub-target resource through the resource demand side, where the interactive operation corresponding to each sub-target resource includes the resource demand side detecting the trigger from Select the required sub-resource providers from all the sub-resource providers corresponding to the sub-target resource and/or control the metaverse portrait corresponding to the triggerer in the meta-universe resource pool, from which the sub-target resource corresponds Filter the required sub-resource providers among all the sub-resource providers.

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;

As an optional implementation manner, in the second aspect of the present invention, 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;

For any of the second resource providers:

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. Corresponding metaverse data, all first resource providers include all second resource providers.

As an optional implementation manner, in the second aspect of the present invention, 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:

According to the scene function division method, 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;

Establish a three-dimensional model matching the sub-actual scene data according to the resource type corresponding to the second resource provider and each of the sub-actual scene data and the function of the sub-actual scene data;

Determine the color condition of each sub-actual scene data, and render 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;

According to the resource type provided by the second resource provider, 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.

As an optional implementation manner, in the second aspect of the present invention, 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:

According to the output sorting corresponding to all the sub-target resources, 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.

Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

In the embodiment of the present invention, 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. For the triggerer to view and perform interactive operations with the target resource provider; among them, 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. It is no longer limited by the original physical place and the impact of information not being gathered, while improving resources. 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.

Description of the drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without exerting creative efforts.

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.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only These are some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present invention.

The terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than describing a specific sequence. Furthermore, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or end that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes Other steps or units inherent to such processes, methods, products or endpoints.

Reference herein to "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.

Embodiment 1

Please refer to FIG. 1 , which is a schematic flow chart of a resource intelligent matching method based on the metaverse disclosed in an embodiment of the present invention. Among them, 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. As shown in Figure 1, the resource intelligent matching method based on the Metaverse can include the following operations:

101. 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.

In the embodiment of the present invention, 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. kind. Among them, the required resources include item resources and/or non-item resources. In this way, by providing a variety of identification information, it is conducive to improving the accuracy of determining the metaverse portrait of the triggerer and improving the accuracy of determining the required resources. Among them, 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.

In the embodiment of the present invention, when a metaverse resource demand is detected, if the resource demand end or the triggerer of the metaverse resource demand does not have a metaverse portrait in the metaverse resource pool, 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.

102. 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.

103. 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.

104. 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.

105. 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.

In the embodiment of the present invention, 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. For the 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.

It can be seen that 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. As well as the impact of non-aggregation of information, it also 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 conducive to improving the credibility of the resources.

In an optional embodiment, 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;

For any 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;

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;

When it is detected that the resource data sent by the target Metaverse resource management and control terminal to represent the second resource provider passes the verification, 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.

In this optional embodiment, 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. Furthermore, 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.

In this optional embodiment, optionally, there are corresponding 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. Among them, the resource management and control data includes resource management and control types, and the resource management and control categories include item resource control categories and/or non-item resource control categories. Furthermore, 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.

In this optional embodiment, 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.

It can be seen that in this optional embodiment, when there is a resource provider that needs to establish its metaverse data, it automatically establishes a metaverse corresponding to the actual scene in the metaverse resource pool based on the actual scene data and resource data of the resource provider. Universe 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 By automatically matching the appropriate Metaverse resource management and control terminal in the Metaverse resource pool to verify its resource data, and after passing the verification, the operation of establishing other Metaverse data for the resource provider can be performed, which can improve The execution accuracy and reliability of this operation will help reduce the occurrence of illegal resource providers entering the Metaverse resource pool, ensuring that while enriching the Metaverse resource pool, an accurate and reliable Metaverse resource pool can be obtained.

In this optional embodiment, optionally, 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.

It can be seen that 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.

In another optional embodiment, 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 actual management and control scenarios corresponding to the end-end resource management and control elements and the resource management and control data corresponding to the actual management and control scenarios;

For any resource management and control end:

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 amount of data;

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;

When the judgment result is yes, 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 resource pool of the Metaverse on the resource management and control side, and the Resource Pool of the Metaverse as the resource side of the Metaverse;

Among them, the Metaverse resource pool of each resource management and control terminal contains the Metaverse data of at least one resource provider. And 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.

In this optional embodiment, optionally, the resource management and control end includes a physical campus management and control end and/or a local government management and control end.

It should be noted that 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.

It can be seen that 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.

Embodiment 2

Please refer to Figure 2. Figure 2 is a schematic flow chart of another metaverse-based resource intelligent matching method disclosed in an embodiment of the present invention. Among them, 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. As shown in Figure 2, the resource intelligent matching method based on the Metaverse can include the following operations:

201. 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.

202. 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.

203. 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.

204. 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.

205. 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.

206. 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.

207. 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.

In the embodiment of the present invention, 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.

In the embodiment of the present invention, 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.

It should be noted that for other detailed descriptions of 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.

It can be seen that 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. As well as the impact of non-aggregation of information, it also 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. In addition, by determining the resource type and demand ranking of each resource required by the resource demand side, 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.

In an optional embodiment, 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.

It can be seen that 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.

In another optional embodiment, when the target resource includes an item resource, the metaverse data of the target resource provider 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;

After selecting the required 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.

It can be seen that in this optional embodiment, 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.

In yet another optional embodiment, 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;

After detecting that the triggerer has selected sub-resource providers from all sub-resource providers corresponding to each sub-target resource, 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. , 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 the operation, until all required sub-resources are provided Both ends have completed matching operations; or,

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. In the metaverse resource pool, 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.

In this optional embodiment, when the target end is the Metaverse resource end, 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.

It can be seen that in this optional embodiment, 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 After the item is processed, 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.

When all required sub-resource providers have completed matching operations, 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 After the matching operation, 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.

It can be seen that in this optional embodiment, after all resource providers have completed relevant processing operations on the items, 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.

After all required sub-resource providers have completed matching operations, 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. Among them, when the system digital trade model is the direct sales trade model or cloud warehouse direct sales model or cloud warehouse In the split-account distribution trade model, 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; when 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.

In this optional embodiment, when the items are transported, 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.

It can be seen that in this optional embodiment, after 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. Services; 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.

Embodiment 3

Please refer to Figure 3. Figure 3 is a schematic structural diagram of a metaverse system disclosed in an embodiment of the present invention. Among them, 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;

Among them, 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.

It can be seen that 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. At the same time, 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. In the 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.

In an optional embodiment, as shown in Figure 4, 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;

For any of the second resource providers:

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.

It can be seen that 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.

In yet another optional embodiment, as shown in Figure 4 , 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:

According to 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;

Establish a three-dimensional model matching the sub-actual scene data according to the resource type corresponding to the second resource provider and each sub-actual scene data and the function of the sub-actual scene data;

According to the resource type provided by 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.

It can be seen that 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.

In yet another optional embodiment, as shown in Figure 4, 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 output sorting of the metaverse data of all corresponding sub-resource providers;

Among them, 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:

According to the output sorting corresponding to all sub-target resources, 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. Perform interactive operations, in which 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.

It can be seen that 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.

In yet another optional embodiment, as shown in Figure 4, 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;

As shown in Figure 4, 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. processing data, and 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.

It can be seen that 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.

In yet another optional embodiment, 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.

It can be seen that in this optional embodiment, after all resource providers have completed relevant processing operations on the items, 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.

In another optional embodiment, as shown in Figure 3 or 4, 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. include:

Send the metaverse data of the target resource provider to the resource demander for the triggerer to view and interact with the target resource provider through the metaverse resource pool of the resource demander and the metaverse resource side; or,

In the Metaverse resource pool on the Metaverse resource side, 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.

It can be seen that 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.

In yet another optional embodiment, when the target resource includes an item resource, the metaverse data of the target resource provider 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:

Control the Metaverse portrait corresponding to the triggerer to browse the data of each target item in the Metaverse resource pool on the Metaverse resource side, and filter the required target items from all target items;

After selecting the required target items, 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.

It can be seen that in this optional embodiment, 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.

In another optional embodiment, as shown in Figure 4, 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;

For any resource management and control end:

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;

As shown in Figure 4, 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. In the management and control scenario, a Metaverse resource pool on the resource management and control side is established as a Metaverse resource pool on the Metaverse resource side;

It can be seen that 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.

Embodiment 5

Please refer to FIG. 5 , which is a schematic structural diagram of yet another metaverse resource end disclosed in an embodiment of the present invention. Among them, as shown in Figure 5, the metaverse resource end can include:

Memory 401 storing executable program code;

processor 402 coupled to memory 401;

Further, 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.

Embodiment 6

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.

Through the detailed description of the above embodiments, those skilled in the art can clearly understand that 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. Based on this understanding, 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), Random Access Memory (RAM), Programmable Read-only Memory (PROM), Erasable Programmable Read Only Memory (EPROM) ), One-time Programmable Read-Only Memory (OTPROM), Electronically Erasable Programmable Read-Only Memory (EEPROM), CompactDisc Read- Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

Finally, it should be noted that the 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.

Claims

A resource intelligent matching method based on the Metaverse, characterized in that the method is applied to the Metaverse system, the Metaverse system includes the Metaverse resource end, and 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;

Wherein, 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-based resource intelligent matching method according to claim 1, characterized in that the method further includes:

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 of the resource management and control terminals includes the resource management and control elements of the resource management and control terminal and the corresponding resource management and control elements of the resource management and control terminal. The actual management and control scenario and the resource management and control data corresponding to the actual management and control scenario;

For any of the resource management and control terminals:

The Metaverse resource end determines the data type of each sub-resource management and control data in the resource management and control data of the resource management and control end and the data amount of each of the sub-resource management and control data;

The Metaverse resource terminal calculates the data type integrity of the resource management and control terminal based on the data types of all the sub-resource management and control data corresponding to the resource management and control terminal, and calculates the data type integrity of the resource management and control terminal based on the data types of all the sub-resources corresponding to the resource management and control terminal. Control the data volume of the data and calculate the data volume integrity of the resource management and control end;

The Metaverse resource end determines whether the data type integrity of the resource management and control end is greater than or equal to a 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;

When the judgment result is yes, the Metaverse resource end uses each of the sub-resource management and control data of the resource management and control end and the data type and data amount of the resource management and control data, the resource management and control elements of the resource management and control end and the The actual management and control scenario corresponding to the resource management and control elements on the resource management and control side establishes the Metaverse resource pool of the resource management and control side as the Metaverse resource pool of the Metaverse resource side;

Wherein, there is metaverse data of at least one resource provider in the metaverse resource pool of each resource management and control end.
The metaverse-based resource intelligent matching method according to claim 1 or 2, characterized in that 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;

For any of the second resource providers:

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 manages and controls multiple Metaverse resources in the Metaverse resource pool based on the resource data of the second resource provider and the Metaverse resource pool. The resource management and control data of each of the Metaverse resource management and control terminals in the terminal is selected from the plurality of Metaverse resource management and control terminals to select the target Metaverse resource management and control terminal that matches the second resource providing terminal and provide the resource management and control data to the target. The Metaverse resource management and control end sends a verification prompt, 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 provide the second resource. Verify the resource data of the terminal, where each of the metaverse resource management and control terminals has a unique corresponding actual resource management and control terminal;

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 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 resource intelligent matching method based on the Metaverse according to claim 3, characterized in that the Metaverse resource end is 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 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 resource type provided by 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 resource intelligent matching method based on the Metaverse according to claim 1, 2 or 4, characterized in that 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. terminal, the target resource providing terminal includes all the sub-resource providing terminals;

And, 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;

Wherein, 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. View and perform interactive operations with all sub-resource providers of the sub-target resource through the resource demand side, where the interactive operation corresponding to each sub-target resource includes the resource demand side detecting the trigger from Select the required sub-resource providers from all the sub-resource providers corresponding to the sub-target resource and/or control the metaverse portrait corresponding to the triggerer in the meta-universe resource pool, from which the sub-target resource corresponds Filter the required sub-resource providers among all the sub-resource providers.
The resource intelligent matching method based on the Metaverse according to claim 5, characterized in that the Metaverse system also includes the resource demand end and a plurality of resource providers; the method further includes:

The target end determines the virtual model of the items that the resource demand end needs to process and the processing data of the items, and the target end includes the metaverse resource end or the resource demand end;

After detecting that the triggerer selects the required sub-resource providers from all the sub-resource providers corresponding to each of the sub-target resources, the target end sorts according to the output corresponding to all the sub-target resources. , select the first-ranked sub-resource provider from all the required sub-resource providers as the current sub-resource provider, and use the virtual model of the item that the resource demand end needs to process and the item's The processing data is sent to the current sub-resource provider to trigger the current sub-resource provider to execute the virtual model of the item in the metaverse resource pool according to the processing data of the item according to the current sub-resource provider. Match the resource type corresponding to the 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 the sub-target resources, and updates the target virtual model of the item and the target processing data of the item. Update the virtual model of the item and the processing data of the item, and re-execute the step of sending 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. end to trigger the current sub-resource provider to execute the virtual model of the item in the metaverse resource pool according to the processing data of the item to match the resource type corresponding to the current sub-resource provider. Operation, and determine the operation of the target virtual model of the item and the target processing data of the item after performing the operation, until all the required sub-resource providers have completed the matching operation; or,

The current sub-resource provider determines the output order corresponding to all the sub-target resources, and selects the next sub-resource provider from all the sub-resource providers according to the output order corresponding to all the sub-target resources. , and send the target virtual model of the item and the target processing data of the item to the next sub-resource provider, so as to trigger the next sub-resource provider to process the object according to the target data of the item. In the metaverse resource pool, perform a matching operation on the target virtual model of the item with the resource type corresponding to the next sub-resource provider, and determine the target virtual model of the item after performing the operation and the The item's target processes the data until all required sub-resource providers have completed matching operations.
The metaverse-based resource intelligent matching method according to claim 6, characterized in that the method further includes:

After all required sub-resource providers have completed matching operations, 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 the required sub-resource provider. All sub-resource providers except the last required sub-resource provider among all the sub-resource providers are used for the sub-resource provider to update its metaverse data and send it to the target end, For viewing by the triggerer and/or storage by the target.
The metaverse-based resource intelligent matching method according to claim 1, 2, 4, 6 or 7, characterized in that the metaverse resource end executes outputting 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 sends the Metaverse data of the target resource provider to the resource demand end for the triggerer to view and communicate with the Metaverse resource pool through the resource demand end and the Metaverse resource pool of the Metaverse resource end. interact with the target resource provider; or,

The Metaverse resource end displays the Metaverse data of the target resource provider to the Metaverse portrait corresponding to the triggerer in the Metaverse resource pool of the Metaverse resource end, so that the resource demand end can control the trigger. The Metaverse portrait corresponding to the target resource provider interacts with the Metaverse portrait corresponding to the target resource provider in the Metaverse resource pool on the Metaverse resource side.
The resource intelligent matching method based on the metaverse according to claim 8, characterized in that when the target resource includes an item resource, the metaverse data of the target resource provider further includes the metaverse data matching the type of the item resource. Data for at least one target item;

The resource demand side controls the Metaverse portrait corresponding to the triggerer to interact with the Metaverse portrait of the target resource provider in the Metaverse resource pool of the Metaverse resource side, including:

The resource demand end controls the Metaverse portrait corresponding to the triggerer to browse the data of each target item in the Metaverse resource pool of the Metaverse resource end, and selects the required items from all the target items. The target item;

After selecting the required target items, the resource demand end controls the Metaverse portrait corresponding to the triggerer to send customized requirements for the required target items to the Metaverse portrait of the target resource provider, The customization requirement is sent to the target resource provider by triggering the Metaverse portrait of the target resource provider, where the customization requirement includes the required data of the target item.
A metaverse system, characterized in that 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;

Wherein, 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.