CN115272549A - Method and device for storing, rendering and scheduling super-large digital scene - Google Patents
Method and device for storing, rendering and scheduling super-large digital scene Download PDFInfo
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Abstract
The invention provides a method and a device for storing, rendering and scheduling super-large digital scenes, wherein the scheme classifies and stores the same gateway topology, and repeatedly constructs an optimized storage mode of storing by adopting a referential quoting mode, so that the storage space is saved, the loading speed is accelerated, a plurality of dimensional grid enveloping bodies are automatically generated for the digital scenes, grid vertexes of each enveloping body are merged according to an optimized gradient, and the vertex optimization is automatically carried out according to the scene volume; meanwhile, due to the fact that models of different levels have grids of different precisions, the models adopt different segmentation sizes for different precisions by performing normalized segmentation on digital scenes, distributed scheduling during subsequent rendering can be guaranteed, meanwhile, the models adopt a cone judgment mode for rendering, transition is smoother, and rendering effect is better.
Description
Technical Field
The invention relates to the technical field of digital scene storage and rendering, in particular to a method and a device for storing, rendering and scheduling super-large digital scenes.
Background
Rendering in computer graphics refers to the process of generating images from a model with software. A model is a description of a three-dimensional object in a well-defined language or data structure that includes geometric, viewpoint, texture, and lighting information. And (4) enabling the model in the three-dimensional scene to be in accordance with the set environment, light, material and rendering parameters. The process of two-dimensional projection into a digital image.
When the existing digital scene is rendered, the publication number is as follows: CN102467752A has a problem that rendering transition is unnatural and rendering effect is not good because determination based on camera position is required in rendering.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a device for storing, rendering and scheduling super-large digital scenes,
the method and the device solve the technical problem that rendering transition is unnatural and rendering effect is poor due to the fact that judgment needs to be carried out based on the position of a camera when rendering is carried out in the prior art.
A storage and rendering scheduling method for a super-large digital scene comprises the following steps: acquiring a member of a current digital scene, wherein a data structure of the member comprises a three-dimensional grid and additional information; screening the components by adopting a computer program, classifying and storing the components with the same grid topology, and storing repeated components by adopting referential citation; automatically generating, using a computer program, a plurality of dimensional mesh envelopes for the digital scene; merging the grid vertexes of each enveloping body according to an optimized gradient, and performing normalized segmentation on the digital scene to obtain a plurality of scene segmentation file groups with different accuracies; and based on the segmentation file group, forming a view cone according to the view angle and the central block of the picture for rendering.
In one embodiment, the components include three-dimensional terrain data, architectural model data, and specific configuration model data.
In one embodiment, the additional information includes scene map information, normal direction, and mesh classification.
In one embodiment, in the classifying and storing step of the members having the same mesh topology, the stored record information includes: component location point, component reference address, component additional information.
In one embodiment, the normalized slicing step for the digital scene comprises: and segmenting the digital scene with different precisions by adopting different segmentation sizes.
In one embodiment, based on the split document group, a view cone is formed according to a view angle and a central block of the picture for rendering, and the rendering step includes: and (4) judging according to the view angle and a cone formed in the central area of the picture, loading a high-precision cutting group in the central area, loading a secondary cutting group on the periphery, loading a primary cutting group again at a distance, and loading a rough cutting group on the background.
The utility model provides a storage of super large digital scene and render scheduling device, includes component acquisition module, component storage module, scene segmentation module and scene rendering module, wherein: the component acquisition module is used for acquiring components of the current digital scene, and the data structure of the components comprises three-dimensional grids and additional information; the component storage module is used for screening the components by adopting a computer program, classifying and storing the components with the same grid topology and storing repeated components by adopting referential citation; the scene segmentation module is used for automatically generating a plurality of dimensional grid enveloping bodies for the digital scene by adopting a computer program; merging the grid vertexes of each enveloping body according to the optimized gradient, and performing normalized segmentation on the digital scenes to obtain a plurality of scene segmentation file groups with different accuracies; and the scene rendering module is used for forming a view cone according to the view angle and the picture central block for rendering based on the segmentation file group.
A computer device includes a memory, a processor and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method for predicting the opening and closing deformation of a pipe joint of a immersed tunnel described in the above embodiments when executing the program.
A storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of a method for predicting opening and closing deformation of a pipe joint of a immersed tunnel described in the above embodiments.
According to the technical scheme, the beneficial technical effects of the invention are as follows:
1. the same gateway topology is classified and stored, and an optimized storage mode of storing by adopting a referential mode is repeatedly constructed, so that the storage space is saved, and the loading speed is accelerated.
2. A plurality of dimensional mesh enveloping bodies are automatically generated for the digital scene, and mesh vertexes of each enveloping body are combined according to an optimization gradient, so that vertex optimization is automatically performed according to the scene volume; meanwhile, because the models of different levels have grids with different precisions, the distributed scheduling can be ensured during the subsequent rendering by carrying out normalized segmentation on the digital scene and adopting different segmentation sizes for different precisions.
3. And the view cone judgment mode is adopted for rendering, so that the transition is smoother, and the rendering effect is better.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a flowchart illustrating a method for scheduling storage and rendering of a very large digital scene according to an embodiment;
FIG. 2 is a block diagram of an embodiment of a scheduling apparatus for storing and rendering a very large digital scene;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
In one embodiment, as shown in fig. 1, a method for storing and rendering a very large digital scene is provided, which includes the following steps:
s110 acquires a member of the current digital scene, a data structure of the member including a three-dimensional mesh and additional information.
In one embodiment, the components in step S110 include three-dimensional terrain data, building model data, and special construction model data.
In one embodiment, the additional information in step S110 includes scene map information, normal direction, and mesh classification.
Specifically, first, a current digital model component is obtained, which includes three-dimensional terrain data, building model data, and special construction model data, and the like. The data structure of the building block comprises a three-dimensional mesh and additional information, wherein the additional information comprises scene map information of a mesh surface, a normal direction, mesh classification and the like.
S120, a computer program is adopted to screen the components, classify and store the components with the same grid topology, and store the repeated components by adopting referential citation.
In one embodiment, in the step of classifying and storing the members having the same mesh topology, the stored record information includes: component location point, component reference address, component additional information.
Specifically, a computer program is used to screen all digital components and classify the components having the same network topology, i.e., the components having the same properties and classes. Recording the components, wherein the recorded information is component location points, component reference addresses and component additional information, and the component additional information generally refers to component attributes in a Building Information Model (BIM). For example, concrete marks, reinforcement ratios and the like in the upper part member of the bridge, the repeated members are stored in a referential mode, so that the data space is saved. The same gateway topology is classified, and an optimized storage mode of storing by adopting a referential mode is repeatedly constructed, so that the storage space is saved, and the loading speed is accelerated.
S130 automatically generates a plurality of dimensional mesh envelopes for the digital scene using a computer program.
Specifically, a computer program is used to automatically generate a plurality of dimensional mesh envelopes for a digital scene, wherein the digital scene is a three-dimensional digital scene and comprises three-dimensional terrain data, building model data, special construction model data and the like.
S140, merging the grid vertexes of each enveloping body according to the optimized gradient, and performing normalized segmentation on the digital scenes to obtain a plurality of scene segmentation file groups with different accuracies.
In one embodiment, the normalized slicing of the digital scene in step S140 includes: and segmenting the digital scenes with different accuracies by adopting different segmentation sizes.
Specifically, each enveloping body is subjected to grid vertex combination according to an optimized gradient, then normalized segmentation is carried out on digital scenes, different segmentation sizes are adopted for different accuracies, and finally, a plurality of scene segmentation file groups with different accuracies are formed. Automatically generating a plurality of dimensional grid enveloping bodies for the digital scene, and merging grid vertexes of each enveloping body according to an optimization gradient to realize vertex optimization automatically according to the scene volume; meanwhile, because the models of different levels have grids with different precisions, the distributed scheduling can be ensured during the subsequent rendering by carrying out normalized segmentation on the digital scene and adopting different segmentation sizes for different precisions.
And S150, based on the split file group, forming a view cone according to the view angle and the picture central area for rendering.
In one embodiment, step S150 includes: and judging according to the visual angle and a cone formed by the central area of the picture, loading a high-precision cutting group in the central area, loading a secondary cutting group on the periphery, loading a primary cutting group again at a far place, and loading a rough cutting group on the background.
Specifically, when the GPU is rendering (GPU, graphics processor), a cone is formed according to the view angle and the central block of the screen for judgment, the central area is loaded with the high-precision sliced group, the periphery is loaded with the secondary sliced group, the distant area is loaded with the primary sliced group again, and the background is loaded with the rough sliced group. The secondary and secondary level here means that the precision is sequentially reduced to form a transition, but the transition is not greatly changed visually, and compared with other patents which judge according to the position of the camera and render by adopting a cone judgment mode, the transition is smoother and the rendering effect is better. The step can go through the same processing mode for multiple times, so that description and rendering of infinite terrain can be realized.
In one embodiment, a storage and rendering scheduling apparatus for a very large digital scene is provided, including a component obtaining module 210, a component storage module 220, a scene segmentation module 230, and a scene rendering module 240, wherein:
the component acquiring module 210 is configured to acquire a component of a current digital scene, where a data structure of the component includes a three-dimensional mesh and additional information;
the component storage module 220 is configured to screen components by using a computer program, classify and store components having the same mesh topology, and store duplicate components by using referential reference;
the scene segmentation module 230 is configured to, using a computer program, automatically generate a plurality of dimensional mesh envelopes for the digital scene; merging the grid vertexes of each enveloping body according to the optimized gradient, and performing normalized segmentation on the digital scenes to obtain a plurality of scene segmentation file groups with different accuracies;
the scene rendering module 240 is configured to form a view cone according to the view angle and the central block of the picture for rendering based on the split file group.
In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the configuration template and also can be used for storing target webpage data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of storage and rendering scheduling for very large digital scenes.
It will be appreciated by those skilled in the art that the configuration shown in fig. 3 is a block diagram of only a portion of the configuration associated with the present application, and is not intended to limit the computing device to which the present application may be applied, and that a particular computing device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a storage medium is further provided, the storage medium stores a computer program, the computer program comprises program instructions, when executed by a computer, the computer can be a part of the storage and rendering scheduling apparatus for a super-large digital scene mentioned above, the computer can execute the method according to the foregoing embodiment.
It will be apparent to those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and optionally they may be implemented in program code executable by a computing device, such that they may be stored on a computer storage medium (ROM/RAM, magnetic disks, optical disks) and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being covered by the appended claims and their equivalents.
Claims (9)
1. A method for storing, rendering and scheduling super-large digital scenes is characterized by comprising the following steps:
acquiring a member of a current digital scene, wherein a data structure of the member comprises a three-dimensional grid and additional information;
screening the components by adopting a computer program, classifying and storing the components with the same grid topology, and storing repeated components by adopting referential citation;
automatically generating, using a computer program, a plurality of dimensional mesh envelopes for the digital scene;
merging the grid vertexes of each enveloping body according to the optimized gradient, and performing normalized segmentation on the digital scenes to obtain a plurality of scene segmentation file groups with different accuracies;
and based on the segmentation file group, forming a view cone according to the view angle and the picture central area for rendering.
2. The method of claim 1, wherein the components include three-dimensional terrain data, architectural model data, and special construction model data.
3. The method of claim 1, wherein the additional information comprises scene map information, normal direction, and mesh classification.
4. The method according to claim 1, wherein in the step of classifying and storing the members having the same mesh topology, the stored record information comprises: component location point, component reference address, component additional information.
5. The method according to claim 1, wherein performing a normalized slicing step on the digital scene comprises:
and segmenting the digital scene with different precisions by adopting different segmentation sizes.
6. The method according to claim 1, wherein the rendering step based on the split file group by forming a view cone from a view angle and a center block of the picture comprises:
and (4) judging according to the view angle and a cone formed in the central area of the picture, loading a high-precision cutting group in the central area, loading a secondary cutting group on the periphery, loading a primary cutting group again at a distance, and loading a rough cutting group on the background.
7. The utility model provides a storage and rendering scheduling device of super large digital scene which characterized in that, includes component acquisition module, component storage module, scene segmentation module and scene rendering module, wherein:
the component acquisition module is used for acquiring components of the current digital scene, and the data structure of the components comprises three-dimensional grids and additional information;
the component storage module is used for screening the components by adopting a computer program, classifying and storing the components with the same grid topology and storing repeated components by adopting referential citation;
the scene segmentation module is used for automatically generating a plurality of dimensional grid enveloping bodies for the digital scene by adopting a computer program; merging the grid vertexes of each enveloping body according to the optimized gradient, and performing normalized segmentation on the digital scenes to obtain a plurality of scene segmentation file groups with different accuracies;
and the scene rendering module is used for rendering according to the view angle and the picture central area block by forming a view cone based on the split file group.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 6 are implemented when the computer program is executed by the processor.
9. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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