CN116028176A - Resource scheduling method applied to meta universe - Google Patents
Resource scheduling method applied to meta universe Download PDFInfo
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- CN116028176A CN116028176A CN202211669739.2A CN202211669739A CN116028176A CN 116028176 A CN116028176 A CN 116028176A CN 202211669739 A CN202211669739 A CN 202211669739A CN 116028176 A CN116028176 A CN 116028176A
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Abstract
The invention discloses a resource scheduling method applied to the meta universe, which belongs to the technical field of resource scheduling and comprises the following steps: s1: data and request are transmitted in; s2: data transmission; s3: spatial positioning, model reconstruction and scene fusion; s4: and rendering and displaying the model. According to the invention, network computing power service, artificial intelligence service and display service with different precision grades can be reasonably selected according to the medium-grade identification in the in-out original data, and the model to be built is reconstructed, fused and displayed, so that the service resources of the meta-universe system can be more reasonably utilized, the pressure of each service resource in service is reduced to a certain extent, the use experience of users is better, and the meta-universe system is worth popularizing and using.
Description
Technical Field
The invention relates to the technical field of resource scheduling, in particular to a resource scheduling method applied to the meta universe.
Background
The connotation of the metauniverse is the achievement of the virtual reality technical revolution which absorbs the information revolution (5G/6G), the Internet revolution (web 3.0), the artificial intelligence revolution and VR, AR and MR, particularly a game engine, and shows possibility of constructing a holographic digital world parallel to the traditional physical world to human beings; the interaction of information science, quantum science, mathematics and life science is initiated, and the scientific paradigm is changed; the breakthrough of traditional philosophy, sociology and even human science systems is promoted; all digital technologies are encompassed, including blockchain technology achievements. Under the technical view, the meta universe of technical significance comprises a content system, a blockchain system, a display system and an operating system, and finally is displayed as a 3D interface exceeding screen limitation, and represents a holographic platform era subsequent to a PC era and a mobile era.
The existing resource scheduling method applied to the metauniverse has certain defects in use, such as incapability of reasonably scheduling metauniverse service resources according to the self requirements of users when the users need to build a model on a metauniverse 3D interface and fuse, and unreasonable use of the service resources also causes energy waste.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problem that when a user needs to build a model and integrate in a metauniverse 3D interface, more reasonable scheduling cannot be carried out on metauniverse service resources according to the own needs of the user, and the unreasonable use of the service resources also causes energy waste, and provides a resource scheduling method applied to metauniverse.
The invention solves the technical problems through the following technical proposal, and the invention comprises the following steps:
s1: data and request incoming
The user transmits the original data of the model to be built to the user through the data transmission interface, and simultaneously transmits a request for building the model to the user through the request transmission interface;
s2: data transmission
After receiving a request for establishing a model, identifying the grade identification of the original data by using a network transmission service, transmitting the grade identification result to a resource scheduling module, and simultaneously transmitting the original data to a network computing power service unit, an artificial intelligent service unit and a display service unit;
s3: spatial localization, model reconstruction and scene fusion
The resource scheduling module selects space positioning algorithms with different precision grades and GPUs with different calculation forces according to the grade identification recognition result to perform positioning work of a model to be built in a three-dimensional space; simultaneously selecting target detection models with different precision levels to identify two-dimensional models in original data, reconstructing the models according to positioning results of the models in a three-dimensional space to obtain three-dimensional models corresponding to the two-dimensional models, selecting data according to scenes in the original data, selecting corresponding scenes under the scheduling of a resource scheduling module, and fusing the three-dimensional models with the corresponding scenes to obtain data fused by the three-dimensional models and the scenes;
s4: model rendering and display
The resource scheduling module selects rendering engines with different precision grades according to the grade identification recognition result to render the data fused by the three-dimensional model and the scene, obtains a reconstructed and fused three-dimensional space picture, and displays the reconstructed and fused three-dimensional space picture to a user through a model display interface.
Further, in the step S1, the original data of the model to be built by the user is a data packet, and the data packet includes a level identifier, a two-dimensional picture, three-dimensional position data and size data during model reconstruction, and scene selection data, where the level identifier is used to indicate a spatial positioning precision level and a rendering quality level of the three-dimensional position data and the size data during model reconstruction, the two-dimensional picture includes the two-dimensional model to be reconstructed, the three-dimensional position data and the size data during model reconstruction are used for spatial positioning and model reconstruction, and the scene selection data is used to indicate scene selection during fusion of the three-dimensional model and the scene.
Further, the level identifier is arranged at the head of the data packet, and is represented by a digital coding mode, and the digital coding is respectively 1, 2 and 3, wherein 1 represents the lowest level, corresponds to the spatial positioning precision level, the rendering quality level and the target detection precision level of the lowest precision, 2 represents the middle level, corresponds to the spatial positioning precision level, the rendering quality level and the target detection precision level of the middle precision, and 3 represents the highest level, corresponds to the spatial positioning precision level, the rendering quality level and the target detection precision level of the highest precision.
Furthermore, the resource scheduling method applied to the metauniverse performs model reconstruction, fusion and metauniverse resource scheduling work during display through a resource scheduling system, and the resource scheduling system comprises: the system comprises a user control module, a service resource module and a resource scheduling module;
the user control module is used for calling service resources of the meta-universe system according to the requirements of users;
the service resource module is used for providing service resources of the metauniverse system;
the resource scheduling module is used for sequentially calling network computing power service, artificial intelligence service and display service with different precision grades according to the grade identification result of the original data and scene selection data in the original data, and reconstructing, fusing and displaying the model to be built.
Further, the user control module comprises a network computing power service request calling unit, an artificial intelligent service request calling unit and a display service request calling unit; the network computing power service request calling unit is used for requesting and calling the network computing power service of the metauniverse system according to the requirement of the user, the artificial intelligence service request calling unit is used for requesting and calling the artificial intelligence service of the metauniverse system according to the requirement of the user, and the display service request calling unit is used for requesting and calling the display service of the metauniverse system according to the requirement of the user.
Further, the user control module further comprises a data input interface, a request input interface and a model display interface; the data input interface is used for receiving the original data of the model which is required to be built by the user, the request input interface is used for receiving a request of the user for building the model, and the model display interface is used for displaying the three-dimensional space picture which is reconstructed and fused by the original data of the model which is required to be built to the user for the user to check.
Further, the network computing power service comprises a network transmission service and a space positioning algorithm service; the network transmission service is used for transmitting the original data of the model to be built by the user, identifying the grade identification of the original data and transmitting the grade identification result to the resource scheduling module, and the space positioning algorithm service is used for selecting space positioning algorithms with different precision grades and GPUs with different calculation forces according to the scheduling of the resource scheduling module to perform positioning work of the model to be built in a three-dimensional space.
Further, the artificial intelligence service unit selects target detection models with different precision grades according to the grade identification result of the original data, identifies a two-dimensional model in the original data of the model to be built under the dispatching of the resource dispatching module, rebuilds the model according to the positioning result of the model in the three-dimensional space, obtains a three-dimensional model corresponding to the two-dimensional model, selects a corresponding scene according to scene selection data in the original data of the model to be built under the dispatching of the resource dispatching module, and fuses the three-dimensional model with the corresponding scene to obtain data after fusing the three-dimensional model and the scene.
Furthermore, the display service unit selects rendering engines with different precision grades (rendering capacities) to render the data after the three-dimensional model and the scene are fused according to the grade identification of the data after the three-dimensional model and the scene are fused and the grade identification of the original data under the dispatching of the resource dispatching module, so as to obtain a reconstructed and fused three-dimensional space picture, and the reconstructed and fused three-dimensional space picture is displayed to a user through a model display interface.
Compared with the prior art, the invention has the following advantages: according to the method, network computing power service, artificial intelligence service and display service with different precision grades can be reasonably selected according to the medium-grade identification in the original data, and the models to be built are rebuilt, fused and displayed, so that service resources of the meta space system can be more reasonably utilized, the pressure of each service resource in service is reduced to a certain extent, the use experience of users is better, and the method is worthy of popularization and use.
Drawings
FIG. 1 is an overall block diagram of a resource scheduling system applied to the meta-universe in an embodiment of the present invention;
FIG. 2 is a flowchart of an implementation of a resource scheduling method applied to the meta-universe in an embodiment of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
The embodiment provides a technical scheme: a resource scheduling system for use in a meta-universe, comprising: the system comprises a user control module, a service resource module and a resource scheduling module;
in this embodiment, the user control module is configured to invoke a service resource of the meta-universe system according to a requirement of a user;
the user control module comprises a network computing power service request calling unit, an artificial intelligent service request calling unit and a display service request calling unit; the network computing power service request calling unit is used for requesting and calling the network computing power service of the metauniverse system according to the requirement of the user, the artificial intelligence service request calling unit is used for requesting and calling the artificial intelligence service of the metauniverse system according to the requirement of the user, and the display service request calling unit is used for requesting and calling the display service of the metauniverse system according to the requirement of the user.
It should be noted that, the user control module further includes a data input interface, a request input interface, and a model display interface; the data input interface is used for receiving the original data of the model which is required to be built by the user, the request input interface is used for receiving a request of the user for building the model, and the model display interface is used for displaying the three-dimensional space picture which is reconstructed and fused by the original data of the model which is required to be built to the user for the user to check.
In this embodiment, the service resource module is configured to provide a service resource of the metauniverse system;
the service resource module comprises a network computing power service unit, an artificial intelligence service unit and a display service unit; the network computing power service unit is used for providing network computing power service of the metauniverse system for users, the artificial intelligence service unit is used for providing artificial intelligence service of the metauniverse system for users, and the display service unit is used for providing display service of the metauniverse system for users.
In this embodiment, the network computing service includes a network transmission service and a spatial positioning algorithm service; the network transmission service is used for transmitting the original data of the model to be built by the user, identifying the grade identification of the original data and transmitting the grade identification result to the resource scheduling module, and the space positioning algorithm service is used for selecting space positioning algorithms with different precision grades and GPUs with different calculation forces according to the scheduling of the resource scheduling module to perform positioning work of the model to be built in a three-dimensional space.
In this embodiment, the artificial intelligence service unit selects target detection models with different precision grades according to the grade identification recognition result of the original data, identifies a two-dimensional model in the original data of the model to be built under the scheduling of the resource scheduling module, reconstructs the model according to the positioning result of the model in the three-dimensional space, obtains a three-dimensional model corresponding to the two-dimensional model, selects the corresponding scene according to the scene selection data in the original data of the model to be built under the scheduling of the resource scheduling module, and fuses the three-dimensional model with the corresponding scene to obtain the data after the fusion of the three-dimensional model and the scene.
In this embodiment, the display service unit selects, under the schedule of the resource scheduling module, a rendering engine with different precision levels (rendering capabilities) to render the data after the three-dimensional model and the scene are fused according to the level identifier of the data after the three-dimensional model and the scene are fused and the level identifier of the original data, so as to obtain a reconstructed and fused three-dimensional space picture, and displays the reconstructed and fused three-dimensional space picture to the user through a model display interface.
In this embodiment, the resource scheduling module is configured to sequentially invoke network computing service, artificial intelligence service, and display service with different precision levels according to the level identification recognition result of the original data and scene selection data in the original data, and perform reconstruction, fusion, and display operations on the model to be built.
In this embodiment, the original data of the model to be built by the user is a data packet, and the data packet includes a grade identifier, a two-dimensional picture, three-dimensional position data and size data when the model is reconstructed, and scene selection data, where the grade identifier is used to indicate a spatial positioning precision grade and a rendering quality grade of the three-dimensional position data and the size data when the model is reconstructed, the two-dimensional picture includes the two-dimensional model to be reconstructed, and the model is reconstructed by combining the three-dimensional position data and the size data when the model is reconstructed based on the two-dimensional model, so as to obtain a three-dimensional model corresponding to the two-dimensional model, the three-dimensional position data and the size data when the model is reconstructed are used for spatial positioning and model reconstruction, and the scene selection data is used to indicate scene selection when the three-dimensional model is fused with the scene.
In this embodiment, the level identifier is set at the header of the data packet, and is represented by a digital coding manner, where the digital coding is 1, 2, and 3, and 1 represents the lowest level, corresponds to the lowest-precision spatial positioning precision level and rendering quality level, 2 represents the middle level, corresponds to the middle-precision spatial positioning precision level and rendering quality level, and 3 represents the highest level, corresponds to the highest-precision spatial positioning precision level and rendering quality level.
The embodiment also provides a resource scheduling method applied to the metauniverse, which adopts the system to perform the work of metauniverse resource scheduling during model reconstruction, fusion and display, and comprises the following steps:
s1: data and request incoming
The user transmits the original data of the model to be built to the user through the data transmission interface, and simultaneously transmits a request for building the model to the user through the request transmission interface;
s2: data transmission
After receiving a request for establishing a model, the system identifies the grade identification of the original data by using a network transmission service, transmits the grade identification result to a resource scheduling module, and simultaneously transmits the original data to a network computing power service unit, an artificial intelligent service unit and a display service unit;
s3: spatial localization, model reconstruction and scene fusion
The resource scheduling module selects space positioning algorithms with different precision grades and GPUs with different calculation forces according to the grade identification recognition result to perform positioning work of a model to be built in a three-dimensional space; simultaneously selecting target detection models with different precision levels to identify two-dimensional models in original data, reconstructing the models according to positioning results of the models in a three-dimensional space to obtain three-dimensional models corresponding to the two-dimensional models, selecting data according to scenes in the original data, selecting corresponding scenes under the scheduling of the resource scheduling module, and fusing the three-dimensional models with the corresponding scenes to obtain data after fusing the three-dimensional models with the scenes;
s4: model rendering and display
The resource scheduling module selects rendering engines with different precision grades (rendering capacities) according to the grade identification recognition result to render the data after the three-dimensional model and the scene are fused, and a reconstructed and fused three-dimensional space picture is obtained and displayed to a user through a model display interface.
In summary, the resource scheduling method applied to the meta space system in the embodiment can reasonably select network computing power service, artificial intelligence service and display service with different precision grades according to the medium-level identifiers in the original data, and reconstruct, fuse and display the model to be built, so that the service resources of the meta space system can be more reasonably utilized, the pressure of each service resource in service is reduced to a certain extent, the use experience of users is better, and the method is worthy of popularization and use.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (9)
1. The resource scheduling method applied to the meta universe is characterized by comprising the following steps of:
s1: data and request incoming
The user transmits the original data of the model to be built to the user through the data transmission interface, and simultaneously transmits a request for building the model to the user through the request transmission interface;
s2: data transmission
After receiving a request for establishing a model, identifying the grade identification of the original data by using a network transmission service, transmitting the grade identification result to a resource scheduling module, and simultaneously transmitting the original data to a network computing power service unit, an artificial intelligent service unit and a display service unit;
s3: spatial localization, model reconstruction and scene fusion
The resource scheduling module selects space positioning algorithms with different precision grades and GPUs with different calculation forces according to the grade identification recognition result to perform positioning work of a model to be built in a three-dimensional space; simultaneously selecting target detection models with different precision levels to identify two-dimensional models in original data, reconstructing the models according to positioning results of the models in a three-dimensional space to obtain three-dimensional models corresponding to the two-dimensional models, selecting data according to scenes in the original data, selecting corresponding scenes under the scheduling of a resource scheduling module, and fusing the three-dimensional models with the corresponding scenes to obtain data fused by the three-dimensional models and the scenes;
s4: model rendering and display
The resource scheduling module selects rendering engines with different precision grades according to the grade identification recognition result to render the data fused by the three-dimensional model and the scene, obtains a reconstructed and fused three-dimensional space picture, and displays the reconstructed and fused three-dimensional space picture to a user through a model display interface.
2. The resource scheduling method applied to the meta space according to claim 1, wherein: in the step S1, the original data of the model to be built by the user is a data packet, and the data packet includes a level identifier, a two-dimensional picture, three-dimensional position data and size data when the model is reconstructed, and scene selection data, wherein the level identifier is used for indicating a spatial positioning precision level and a rendering quality level of the three-dimensional position data and the size data when the model is reconstructed, the two-dimensional picture contains a two-dimensional model to be reconstructed, the three-dimensional position data and the size data when the model is reconstructed are used for spatial positioning and model reconstruction, and the scene selection data is used for indicating scene selection when the three-dimensional model is fused with a scene.
3. The resource scheduling method applied to the meta space according to claim 2, wherein: the grade marks are arranged at the head of the data packet and are represented by adopting a digital coding mode, wherein the digital coding is respectively 1, 2 and 3, 1 represents the lowest grade, corresponds to the lowest precision space positioning precision grade, rendering quality grade and target detection precision grade, 2 represents the middle grade, corresponds to the middle precision space positioning precision grade, rendering quality grade and target detection precision grade, 3 represents the highest grade, and corresponds to the highest precision space positioning precision grade, rendering quality grade and target detection precision grade.
4. A resource scheduling method applied to the meta space according to claim 3, wherein: the resource scheduling method applied to the metauniverse performs model reconstruction, fusion and metauniverse resource scheduling work during display through a resource scheduling system, wherein the resource scheduling system comprises the following components: the system comprises a user control module, a service resource module and a resource scheduling module;
the user control module is used for calling service resources of the meta-universe system according to the requirements of users;
the service resource module is used for providing service resources of the metauniverse system;
the resource scheduling module is used for sequentially calling network computing power service, artificial intelligence service and display service with different precision grades according to the grade identification result of the original data and scene selection data in the original data, and reconstructing, fusing and displaying the model to be built.
5. The resource scheduling method applied to the meta space according to claim 4, wherein: the user control module comprises a network computing power service request calling unit, an artificial intelligent service request calling unit and a display service request calling unit; the network computing power service request calling unit is used for requesting and calling the network computing power service of the metauniverse system according to the requirement of the user, the artificial intelligence service request calling unit is used for requesting and calling the artificial intelligence service of the metauniverse system according to the requirement of the user, and the display service request calling unit is used for requesting and calling the display service of the metauniverse system according to the requirement of the user.
6. The resource scheduling method applied to the meta space according to claim 5, wherein: the user control module also comprises a data input interface, a request input interface and a model display interface; the data input interface is used for receiving the original data of the model which is required to be built by the user, the request input interface is used for receiving a request of the user for building the model, and the model display interface is used for displaying the three-dimensional space picture which is reconstructed and fused by the original data of the model which is required to be built to the user for the user to check.
7. The resource scheduling method applied to the meta space according to claim 6, wherein: the network computing power service comprises a network transmission service and a space positioning algorithm service; the network transmission service is used for transmitting the original data of the model to be built by the user, identifying the grade identification of the original data and transmitting the grade identification result to the resource scheduling module, and the space positioning algorithm service is used for selecting space positioning algorithms with different precision grades and GPUs with different calculation forces according to the scheduling of the resource scheduling module to perform positioning work of the model to be built in a three-dimensional space.
8. The resource scheduling method applied to the meta space according to claim 7, wherein: the artificial intelligent service unit selects target detection models with different precision grades under the dispatching of the resource dispatching module according to the grade identification result of the original data, identifies a two-dimensional model in the original data of the model to be built, rebuilds the model according to the positioning result of the model in the three-dimensional space, obtains a three-dimensional model corresponding to the two-dimensional model, selects data according to scenes in the original data of the model to be built, selects a corresponding scene under the dispatching of the resource dispatching module, fuses the three-dimensional model with the corresponding scene, and obtains data after fusing the three-dimensional model and the scene.
9. The resource scheduling method applied to the meta space according to claim 8, wherein: and the display service unit selects rendering engines with different precision grades to render the data after the three-dimensional model and the scene are fused under the dispatching of the resource dispatching module according to the grade identification of the data after the three-dimensional model and the scene are fused and obtains a reconstructed and fused three-dimensional space picture, and the reconstructed and fused three-dimensional space picture is displayed to a user through a model display interface.
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| CN117611472A (en) * | 2024-01-24 | 2024-02-27 | 四川物通科技有限公司 | Fusion method for metaspace and cloud rendering |
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| CN117611472A (en) * | 2024-01-24 | 2024-02-27 | 四川物通科技有限公司 | Fusion method for metaspace and cloud rendering |
| CN117611472B (en) * | 2024-01-24 | 2024-04-09 | 四川物通科技有限公司 | Fusion method for metaspace and cloud rendering |
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