CN115239898A - Fusion method for three-dimensional models with different precisions - Google Patents
Fusion method for three-dimensional models with different precisions Download PDFInfo
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Abstract
A fusion method for three-dimensional models with different precisions comprises the following steps: acquiring a plurality of three-dimensional models with different precisions in the same region to be fused; processing the lowest-precision geological body model data in the multiple three-dimensional models with different precisions to obtain a tile data set under the starting scale; combining a plurality of adjacent tiles in the tile data set to form a tile; combining a plurality of networks in the tile into one network; coarsening the network to generate a target tile; and judging whether the combination of the tiles under the current precision is finished, if so, continuing to execute the processing on the next precision three-dimensional model until a plurality of three-dimensional models with different precisions are obtained. The invention fuses models with different precisions to realize the step-by-step display of model data; the problem of the prior art to the integration between the three-dimensional geological models of different precision is solved.
Description
Technical Field
The invention relates to the field of three-dimensional geological models, in particular to a fusion method for three-dimensional models with different precisions.
Background
Three-dimensional geological Modeling (3D geomology Modeling) is a subject of data/information analysis-based synthesis, which integrates geological, well logging, geophysical data and various interpretation results or conceptual models to generate a three-dimensional quantitative stochastic model, and is a technology for combining spatial information management, geological interpretation, spatial analysis and prediction, geostatistical, entity content analysis, visualization and other tools in a virtual three-dimensional environment by using computer technology and using the combined tools for geological analysis.
The three-dimensional urban geological modeling is a modeling method for clearly displaying the spatial structures of the ground surface and the underground of an urban by utilizing a three-dimensional technology, and the characteristics of different structures of the ground surface, the ground surface and the underground of the urban can be more intuitively reflected through the modeling. The urban geological modeling generally comprises modeling source data, three-dimensional urban geological structure model data, a three-dimensional urban geological attribute model, a digital ground model and a three-dimensional urban landscape model. Compared with a two-dimensional plane model, the three-dimensional urban geological model can show the structure of the city more truly. The three-dimensional urban geological modeling provides support for urbanization construction, has the characteristics of diversification, multi-dimensionality, large data volume and the like, is applied to a plurality of fields such as urbanization construction planning and urbanization traffic route planning at present, and generates great social and economic benefits. However, as the urban three-dimensional geological models relate to, the precision of the three-dimensional geological models may also be different, so that a plurality of three-dimensional geological models with different precisions are generated, and the prior art needs to solve the problem of fusion between the three-dimensional geological models with different precisions.
Disclosure of Invention
In view of the above, the present invention has been made to provide a fusion method for three-dimensional models of different precision that overcomes or at least partially solves the above-mentioned problems.
In order to solve the technical problem, the embodiment of the application discloses the following technical scheme:
a fusion method for three-dimensional models with different precisions comprises the following steps:
s100, obtaining a plurality of three-dimensional models with different precisions in the same region to be fused;
s200, processing the data of the geological body model with the lowest precision in the three-dimensional models with different precisions to obtain a tile data set under an initial scale;
s300, combining a plurality of adjacent tiles in the tile data set to form a tile;
s400, combining a plurality of networks in the tile block to form a network;
s500, coarsening the network to generate a target tile;
s600, judging whether the tile block combination under the current precision is finished, if so, continuing to execute S200-S500 processing on the next precision three-dimensional model until a plurality of different precision three-dimensional models are obtained;
s700, after all the precision three-dimensional models are partitioned, establishing a mapping relation between the precision three-dimensional models and the high-precision models at the same spatial position, and achieving three-dimensional model fusion.
Further, in S100, according to the user requirement, a plurality of three-dimensional models with different precisions in the same region may be generated according to different levels of strata.
Further, in S100, four precision three-dimensional models in the same region are selected, and are respectively a primary precision model, a secondary precision model, a tertiary precision model and a quaternary precision model from low precision to high precision.
Further, in S300, 8 adjacent tiles are combined and combined into one tile.
Further, in S400, 8 adjacent networks are merged into one network.
Further, in S500, the coarsening process is performed on the network, specifically including performing the coarsening process on the spatial data and the attribute data.
Further, in S500, performing a coarsening process on the three-dimensional model space data specifically includes: and coarsening faults and pinch-out in the three-dimensional model.
Further, in S500, the coarsening of the three-dimensional model attribute data specifically includes: and coarsening scalar data and vector data in the three-dimensional model data.
Further, in S600, it is determined whether the tile merging at the current precision is completed, and if not, S400-S500 are continuously performed until the tile merging at the current precision is completed.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the invention discloses a fusion method for three-dimensional models with different precisions, which comprises the following steps: acquiring a plurality of three-dimensional models with different precisions in the same region to be fused; processing the lowest-precision geological body model data in the multiple three-dimensional models with different precisions to obtain a tile data set under the starting scale; combining a plurality of adjacent tiles in the tile data set to form a tile; combining a plurality of networks in the tiles into one network; coarsening the network to generate a target tile; and judging whether the combination of the tiles under the current precision is finished, if so, continuing to execute the processing on the next precision three-dimensional model until a plurality of three-dimensional models with different precisions are obtained. The invention fuses models with different precisions to realize the step-by-step display of model data; the problem of the prior art to the integration between the three-dimensional geological models of different precision is solved.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a fusion method for three-dimensional models with different precisions in embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of a Ludong multi-stage model in example 1 of the present invention;
fig. 3 is a flow chart of geologic body partitioning in embodiment 1 of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to solve the problems in the prior art, embodiments of the present invention provide a fusion method for three-dimensional models with different precisions.
Example 1
The embodiment discloses a fusion method for three-dimensional models with different precisions, as shown in fig. 1, including:
s100, obtaining a plurality of three-dimensional models with different precisions in the same region to be fused; specifically, in S100 of this embodiment, according to the user requirement, a plurality of three-dimensional models with different precisions in the same area may be generated according to different levels of strata. As shown in fig. 2, according to the investigated perspective Shandong modeling situation, the modeling work of the four-level model in the Shandong area has been completed according to the four-level stratum, and the combined four-level model in the Shandong area has been used as a basis to construct one to four levels in the Shandong area.
S200, processing the lowest precision geological body model data in the multiple three-dimensional models with different precisions to obtain a tile data set under an initial scale; the method is based on the MapGIS software, and the source data is directly imported from the MapGIS software to obtain the tile data set under the initial scale.
S300, combining a plurality of adjacent tiles in the tile data set to form a tile; specifically, as shown in fig. 3, this embodiment preferably uses 8 adjacent tiles to merge, and merge into one tile.
S400, combining a plurality of networks in the tile block to form a network; this embodiment preferably uses 8 adjacent networks to merge into one network.
S500, coarsening the network to generate a target tile; specifically, as shown in fig. 3, in this embodiment S500, the coarsening processing is performed on the three-dimensional model space data, and specifically includes: and coarsening faults and pinches in the three-dimensional model. The coarsening processing is carried out on the three-dimensional model space data, and the coarsening processing specifically comprises the following steps: and coarsening faults and pinches in the three-dimensional model. The method for coarsening the attribute data of the three-dimensional model specifically comprises the following steps: and coarsening scalar data and vector data in the three-dimensional model data.
S600, judging whether the tile block is combined completely under the current precision, and if so, continuing to execute S200-S500 processing on the next precision three-dimensional model until a plurality of different precision three-dimensional models.
In this embodiment, as shown in fig. 3, it is determined whether the tile merging at the current precision is completed, and if not, S400-S500 are continuously performed until the tile merging at the current precision is completed.
S700, after all precision three-dimensional models are partitioned, establishing a mapping relation between the precision three-dimensional models and high-precision models at the same spatial position to realize three-dimensional model fusion. And fusing the models with different precisions to realize the step-by-step display of the model data. For example, when viewed from a distance, a geological model of the entire province of Shandong is displayed. The geological situation of the whole province can be outlined. When the geological condition is enlarged to a certain level, a finer grade city model is displayed, and the geological condition of the current view can be clearly seen. And when the current view area is enlarged to a certain level, a more refined model of the current view area can be seen, such as a mine area model of a certain grade city.
The invention discloses a fusion method for three-dimensional models with different precisions, which comprises the following steps: acquiring a plurality of three-dimensional models with different precisions in the same region to be fused; processing the lowest-precision geological body model data in the multiple three-dimensional models with different precisions to obtain a tile data set under the starting scale; combining a plurality of adjacent tiles in the tile data set to form a tile; combining a plurality of networks in the tile into one network; coarsening the network to generate a target tile; and judging whether the combination of the tiles under the current precision is finished, if so, continuing to execute the processing on the next precision three-dimensional model until a plurality of three-dimensional models with different precisions are obtained. The invention fuses different precision models to realize the step-by-step display of model data; the problem of the prior art to the integration between the three-dimensional geological models of different precision is solved.
It should be understood that the specific order or hierarchy of steps in the processes disclosed is an example of exemplary approaches. Based upon design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not meant to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. Of course, the processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
Claims (9)
1. A fusion method for three-dimensional models with different precisions is characterized by comprising the following steps:
s100, obtaining a plurality of three-dimensional models with different precisions in the same region to be fused;
s200, processing the data of the geological body model with the lowest precision in the three-dimensional models with different precisions to obtain a tile data set under an initial scale;
s300, combining a plurality of adjacent tiles in the tile data set to form a tile;
s400, combining a plurality of networks in the tile block to form a network;
s500, coarsening the network to generate a target tile;
s600, judging whether the tile block is combined completely under the current precision, if so, continuing to execute S200-S500 processing on the next precision three-dimensional model until a plurality of different precision three-dimensional models are obtained;
s700, after all the precision three-dimensional models are partitioned, establishing a mapping relation between the precision three-dimensional models and the high-precision models at the same spatial position, and achieving three-dimensional model fusion.
2. The fusion method for three-dimensional models with different precisions according to claim 1, wherein in S100, a plurality of three-dimensional models with different precisions in the same region can be generated according to different levels of strata according to user requirements.
3. The fusion method for three-dimensional models with different precisions according to claim 1, wherein in S100, four three-dimensional models with the same region and the four precisions are selected, and are respectively a primary precision model, a secondary precision model, a tertiary precision model and a quaternary precision model according to the precision grades from low to high.
4. A fusion method for three-dimensional models with different precisions according to claim 1, wherein in S300, 8 adjacent tiles are combined and combined into one tile.
5. A fusion method for three-dimensional models with different precisions as claimed in claim 1, wherein in S400, 8 adjacent networks are merged into one network.
6. The fusion method for three-dimensional models with different precisions of claim 1, wherein in S500, the network is coarsened, and specifically, the coarsening process is performed on the spatial data and the attribute data.
7. The fusion method for three-dimensional models with different precisions according to claim 1, wherein in S500, the coarsening of the spatial data of the three-dimensional models specifically includes: and coarsening faults and pinches in the three-dimensional model.
8. The fusion method for three-dimensional models with different precisions according to claim 1, wherein in S500, the coarsening of the attribute data of the three-dimensional models specifically includes: and coarsening scalar data and vector data in the three-dimensional model data.
9. The method for fusing three-dimensional models with different precisions according to claim 1, wherein in S600, it is determined whether the tile merging at the current precision is completed, and if not, S400-S500 are continued until the tile merging at the current precision is completed.
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