CN115690292A - Working face stratum modeling rendering optimization method and system - Google Patents
Working face stratum modeling rendering optimization method and system Download PDFInfo
- Publication number
- CN115690292A CN115690292A CN202310000512.7A CN202310000512A CN115690292A CN 115690292 A CN115690292 A CN 115690292A CN 202310000512 A CN202310000512 A CN 202310000512A CN 115690292 A CN115690292 A CN 115690292A
- Authority
- CN
- China
- Prior art keywords
- stratum
- rendering
- data
- model
- modeling
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Geophysics And Detection Of Objects (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a method and a system for modeling, rendering and optimizing a stratum of a working face, and relates to the field of data processing, wherein the method comprises the following steps: acquiring a plurality of groups of formation detection data; partitioning the multiple groups of stratum detection data to obtain multiple data partitions; obtaining a plurality of optimized partitions; generating formation modeling data; connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model; inputting information of the three-dimensional stratum model into a rendering optimization platform to obtain stratum rendering parameters; and rendering the three-dimensional stratum model by using the stratum rendering parameters to obtain a stratum visualization model. The technical problems that modeling rendering accuracy of a working face stratum is low, and accordingly modeling rendering effect of the working face stratum is poor and visualization effect is poor in the prior art are solved. The method achieves the technical effects of improving the accuracy, scientificity and intelligence of modeling and rendering the stratum of the working face, improving the quality of modeling and rendering the stratum of the working face and the like.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and a system for modeling, rendering and optimizing a stratum of a working face.
Background
The stratum condition of the working face has very important influence on the fields of coal mine management, geological survey and the like. Modeling rendering is an important means for visually displaying the stratum condition of the working face. With the complicated and diversified development of the stratum condition of the working face, the requirement for visually displaying the stratum condition of the working face is higher and higher. The method for optimizing modeling rendering of the working face stratum is researched and designed, and has important practical significance.
In the prior art, the modeling rendering accuracy of the working face stratum is low, and therefore the modeling rendering effect of the working face stratum is poor and the visualization effect is poor.
Disclosure of Invention
The application provides a working face stratum modeling rendering optimization method and system. The technical problems that modeling rendering accuracy of a working face stratum is low, and accordingly modeling rendering effect of the working face stratum is poor and visualization effect is poor in the prior art are solved. The method has the advantages of improving the accuracy, scientificity and intelligence of modeling rendering of the stratum of the working face, improving the modeling rendering quality of the stratum of the working face, achieving visual display of the stratum of the working face with high accuracy and providing data support for coal mine safe production and geological survey.
In view of the above problems, the present application provides a method and a system for modeling, rendering and optimizing a working surface stratum.
In a first aspect, the present application provides a method for rendering and optimizing a working surface stratum modeling, wherein the method is applied to a system for rendering and optimizing a working surface stratum modeling, and the method includes: acquiring a plurality of groups of formation detection data according to the plurality of detection devices; partitioning the multiple groups of stratum detection data to obtain multiple data partitions, wherein each data partition corresponds to one group of stratum detection data; performing partition data processing on the plurality of data partitions to obtain a plurality of optimized partitions; generating stratum modeling data according to the plurality of optimization partitions; connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model; inputting the information of the three-dimensional stratum model into a rendering optimization platform, and obtaining stratum rendering parameters according to the rendering optimization platform; and rendering the three-dimensional stratum model according to the stratum rendering parameters to obtain a stratum visualization model.
In a second aspect, the present application further provides a system for modeling, rendering and optimizing a working surface stratum, wherein the system includes: the detection data acquisition module is used for acquiring a plurality of groups of formation detection data according to the plurality of detection devices; the data partition acquisition module is used for partitioning the multiple groups of stratum detection data to obtain multiple data partitions, wherein each data partition corresponds to one group of stratum detection data; the partition data processing module is used for carrying out partition data processing on the data partitions to obtain a plurality of optimized partitions; the modeling data generation module is used for generating stratum modeling data according to the plurality of optimization partitions; the stratum model generation module is used for connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model; the rendering parameter acquisition module is used for inputting the information of the three-dimensional stratum model into a rendering optimization platform and obtaining stratum rendering parameters according to the rendering optimization platform; and the rendering module is used for rendering the three-dimensional stratum model according to the stratum rendering parameters to obtain a stratum visualization model.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
acquiring multiple groups of formation detection data through multiple detection devices; partitioning the multiple groups of stratum detection data to obtain multiple data partitions, and performing partitioned data processing on the multiple data partitions to obtain multiple optimized partitions; generating stratum modeling data according to the plurality of optimization partitions; connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model; inputting information of the three-dimensional stratum model into a rendering optimization platform to obtain stratum rendering parameters; and rendering the three-dimensional stratum model according to the stratum rendering parameters to obtain a stratum visualization model. The method has the advantages of improving the accuracy, scientificity and intelligence of modeling rendering of the stratum of the working face, improving the modeling rendering quality of the stratum of the working face, achieving visual display of the stratum of the working face with high accuracy and providing data support for coal mine safe production and geological survey.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly described below. It is to be expressly understood that the drawings in the following description are directed to only some embodiments of the disclosure and are not intended as limitations of the disclosure.
FIG. 1 is a schematic flow chart of a working face stratum modeling rendering optimization method according to the present application;
FIG. 2 is a schematic flow chart of obtaining an optimized stratum model in the working face stratum modeling rendering optimization method according to the present application;
fig. 3 is a schematic structural diagram of a working-face formation modeling rendering optimization system according to the present invention.
Description of reference numerals: the device comprises a detection data acquisition module 11, a data partition acquisition module 12, a partition data processing module 13, a modeling data generation module 14, a stratum model generation module 15, a rendering parameter acquisition module 16 and a rendering module 17.
Detailed Description
The application provides a working face stratum modeling rendering optimization method and system. The technical problems that modeling rendering accuracy for a working face stratum is low, and accordingly the modeling rendering effect of the working face stratum is poor and the visualization effect is poor in the prior art are solved. The method has the advantages of improving the accuracy, scientificity and intelligence of modeling rendering of the stratum of the working face, improving the modeling rendering quality of the stratum of the working face, achieving visual display of the stratum of the working face with high accuracy and providing data support for coal mine safe production and geological survey.
Example one
Referring to fig. 1, the present application provides a method for rendering and optimizing modeling of a working surface stratum, wherein the method is applied to a system for rendering and optimizing modeling of a working surface stratum, the system is in communication connection with a plurality of detection devices, and the method specifically includes the following steps:
step S100: acquiring a plurality of groups of formation detection data according to the plurality of detection devices;
step S200: partitioning the multiple groups of stratum detection data to obtain multiple data partitions, wherein each data partition corresponds to one group of stratum detection data;
specifically, a plurality of stratum in the target area are detected through a plurality of detection devices to obtain a plurality of groups of stratum detection data, and the plurality of groups of stratum detection data are partitioned to obtain a plurality of data partitions. The target area can be any area such as a mine detection area which is intelligently modeled and rendered by using the working face stratum modeling rendering and optimizing system. The plurality of detection devices may be a plurality of formation borehole detectors of the prior art. The multiple groups of stratum detection data comprise multiple drilling parameters, multiple bottom plate contour line discrete points, multiple stratum thicknesses and multiple crossheading wire point parameters which are obtained by detecting multiple stratums in a target area through multiple detection devices. The plurality of data partitions include a plurality of sets of formation detection data, and each data partition corresponds to a set of formation detection data. The technical effects that a plurality of data partitions are obtained by partitioning a plurality of groups of stratum detection data, and a foundation is laid for subsequently processing the data of the data partitions are achieved.
Step S300: performing partition data processing on the plurality of data partitions to obtain a plurality of optimized partitions;
further, step S300 of the present application further includes:
step S310: the data processing of the plurality of data partitions in a partitioning mode comprises a plurality of data processing sub-modules, wherein the data processing sub-modules comprise a data type conversion sub-module, a boundary point filtering sub-module, an area thickness calculation sub-module and an interpolation supplement calculation sub-module, and data interaction is carried out among the modules;
step S320: and performing partition data processing on the plurality of data partitions according to the data type conversion submodule, the boundary point filtering submodule, the area thickness calculation submodule and the interpolation supplement calculation submodule to obtain the plurality of optimized partitions.
Step S400: generating stratum modeling data according to the plurality of optimization partitions;
specifically, a plurality of data partitions are used as input information, the input information is input into a plurality of data processing sub-modules, a plurality of optimization partitions are obtained, and the optimization partitions are output to be stratum modeling data. The data processing sub-modules comprise a data type conversion sub-module, a boundary point filtering sub-module, an area thickness calculation sub-module and an interpolation supplement calculation sub-module, and data interaction is performed among the modules. The data type conversion submodule is used for converting the input multiple data partitions into multiple coordinate point data partitions according to the data types. The multiple coordinate point data partitions comprise multiple drilling parameter coordinates, multiple baseplate contour line discrete point coordinates and multiple crossheading wire point parameter coordinates. The plurality of crossheading wire point parameter coordinates include a plurality of formation thicknesses. The boundary point filtering submodule comprises a plurality of stratum boundary coordinates corresponding to a plurality of stratums in a preset and determined target area and a boundary point filtering rule. The boundary point filtering submodule can perform boundary point filtering on the input multiple coordinate point data partitions to obtain multiple target coordinate point data partitions. The boundary point filtering rule comprises the step of constructing a stratum boundary coordinate plane according to a plurality of stratum boundary coordinates. Performing boundary coincident point and boundary on a plurality of coordinate point data partitions according to the stratum boundary coordinate planeAnd extracting points on the line and points in the boundary so as to filter out points outside the boundary of the stratum boundary coordinate plane in the plurality of coordinate point data partitions. The plurality of target coordinate point data partitions include a point coincident with a boundary of a formation boundary coordinate plane, a point on a boundary line, and a point within the boundary in the plurality of coordinate point data partitions. The region thickness calculation submodule is used for converting the multiple target coordinate point data into a prism-like triangular net in a partition mode, adding the stratum thicknesses of three points of the prism-like triangular net, and then averaging to obtain the average region thickness. Taking area A as an example, if the thickness of the stratum at the lead point is h 1 、h 2 The thickness of the stratum at the drill hole is h a The average thickness of the region A is h 1 、h 2 、h a Average value of (a). The prism-like triangular net is a space unit consisting of two triangular faces which are not parallel up and down and 3 side space quadrangles, and is similar to a triangular prism. And then after the upper triangular net and the lower triangular net are established, triangles of the two triangular nets are in one-to-one correspondence to form a prism-like triangular net.
And the interpolation supplementary calculation submodule is used for carrying out interpolation supplementary calculation on the data partitions of the plurality of coordinate points and the average thickness of the area to obtain the data of the top plate elevation discrete point which is relatively accurate and large in data quantity, and is used for constructing and rendering the subsequent three-dimensional stratum model. Firstly, drawing a plurality of discrete points on a plane according to a plurality of discrete point coordinates of the contour line of the bottom plate in a plurality of coordinate point data partitions. And adding the plurality of discrete points and the corresponding average thickness of the area to obtain a plurality of top plate discrete point data. And then performing difference value supplement on the plurality of top plate discrete point data to obtain a plurality of top plate elevation discrete point data. The interpolation calculation can be carried out on the data of the plurality of top plate discrete points by adopting an inverse distance weighting interpolation method and a kriging interpolation method in the prior art. Inverse distance weighted interpolation relies primarily on the power value of the inverse distance, which can control the effect of a known point on the interpolated value based on the distance from the output point. The power value is a positive real number and is 2 by default. By defining higher power values, the closest point can be further emphasized. Therefore, the neighboring data will be more affected. The inverse distance weighting interpolation method has the characteristics of high calculation speed, low performance requirement and low precision, and is generally used under the condition of smaller variation range of data. The kriging interpolation method is a method for carrying out unbiased optimal estimation on regional variables in a limited region on the basis of a variation function theory and structural analysis. The kriging interpolation method is to adjust the weight of the parameters under the known actual measurement data to obtain the optimal function of the matching model, and then calculate the value of each target point. The kriging interpolation method is more suitable for the form of geological structure change, and is generally used under the conditions of large data change range and high precision requirement. The optimization partitions comprise a plurality of data processing sub-modules which are used for processing partition data of the data partitions, and the obtained relatively accurate discrete point data of the top plate elevation with large data volume is obtained. The formation modeling data includes a plurality of optimization partitions. The technical effects that the multi-stage partition data processing is carried out on the data partitions through the data processing sub-modules, accurate and reliable stratum modeling data are obtained, and the accuracy of building the three-dimensional stratum model is improved are achieved.
Step S500: connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model;
further, as shown in fig. 2, step S500 of the present application further includes:
step S510: acquiring a multi-view display image of the three-dimensional stratum model;
specifically, the formation modeling data is used as input information and input into a data simulation system to obtain a three-dimensional formation model. And carrying out multi-angle image acquisition on the three-dimensional stratum model to obtain a multi-view display image. The data simulation system is in communication connection with the working face stratum modeling rendering optimization system. The data simulation system has the function of performing simulation modeling on the input stratum modeling data. The data simulation system can be simulation modeling software such as MATLAB in the prior art. The three-dimensional stratum model is a simulation model corresponding to stratum modeling data obtained by modeling the data simulation system according to the stratum modeling data. The multi-view display image includes multi-angle image data information of a three-dimensional stratigraphic model. The technical effects that the formation modeling data are modeled through the data simulation system, the three-dimensional formation model is generated, and data support is provided for the subsequent acquisition of the formation visualization model are achieved.
Step S520: acquiring stratum fusion degree according to the multi-view display image;
further, step S520 in the present application further includes:
step S521: carrying out stratum fusion feature identification on the multi-view display image to obtain a fusion feature identification result;
step S522: intercepting the multi-view display image according to the fusion feature identification result to obtain an intercepted feature image;
step S523: and according to the intercepted characteristic image, carrying out stratum fusion degree identification on the three-dimensional stratum model to obtain the stratum fusion degree.
Step S530: judging whether the stratum fusion degree is in a preset stratum fusion degree or not, and if the stratum fusion degree is not in the preset stratum fusion degree, obtaining a modeling optimization instruction;
step S540: and optimizing the three-dimensional stratum model according to the modeling optimization instruction to obtain an optimized stratum model.
Specifically, the multi-view display image is identified according to the stratum fusion characteristics, a fusion characteristic identification result is obtained, and the multi-view display image is intercepted according to the fusion characteristic identification result, so that an intercepted characteristic image is obtained. And further, evaluating the stratum fusion degree of the three-dimensional stratum model according to the intercepted characteristic image to obtain the stratum fusion degree. And then, judging whether the stratum fusion degree is in the preset stratum fusion degree, and if the stratum fusion degree is in the preset stratum fusion degree, performing subsequent rendering processing on the three-dimensional stratum model. And if the stratum fusion degree is not in the preset stratum fusion degree, obtaining a modeling optimization instruction, and optimizing the three-dimensional stratum model according to the modeling optimization instruction to obtain an optimized stratum model. And according to the optimized stratum model, performing coverage updating on the three-dimensional stratum model of which the original stratum fusion degree is not in the preset stratum fusion degree, and then performing subsequent rendering processing.
The stratum fusion characteristics comprise a plurality of preset stratum fusion defect characteristics such as preset and determined stratum fusion coordinate intersection, stratum fusion interval abnormity, stratum fusion boundary line breakpoints and the like. The fusion feature identification result comprises a plurality of stratum fusion feature identification information obtained after the multi-view display image is identified according to the stratum fusion feature. And the intercepted characteristic image comprises image data information corresponding to a characteristic identification result in a multi-view display image. The stratum fusion degree is parameter information used for representing the fusion accuracy of the three-dimensional stratum model. Illustratively, the area of the multi-view display image and the area of the truncated feature image are subjected to difference calculation to obtain the area of the standard fusion image. And outputting the ratio of the area of the standard fusion image to the area of the multi-view display image as the stratum fusion degree. The preset stratum fusion degree comprises a stratum fusion degree threshold value preset and determined by the working face stratum modeling rendering optimization system. The modeling optimization instruction is instruction information used for representing that the stratum fusion degree is not in the preset stratum fusion degree, the fusion accuracy of the three-dimensional stratum model is not high, the accuracy is poor, and the three-dimensional stratum model needs to be optimized. And the optimized stratum model comprises an optimized simulation model corresponding to stratum modeling data obtained after the three-dimensional stratum model is optimized according to the modeling optimization instruction. Illustratively, when the optimized stratum model is obtained, the modeling optimization instruction is transmitted to the data simulation system, and the data simulation system is controlled to perform modeling for multiple times through the modeling optimization instruction until the optimized stratum model with the stratum fusion degree in the preset stratum fusion degree is generated. The method achieves the technical effects that the stratum fusion degree is identified for the three-dimensional stratum model, the stratum fusion degree is obtained, whether the stratum fusion degree is in the preset stratum fusion degree is judged, and the three-dimensional stratum model is adaptively optimized, so that the fusion accuracy and precision of the three-dimensional stratum model are improved, and the rendering quality is prevented from being influenced due to inaccurate fusion of the three-dimensional stratum model.
Step S600: inputting the information of the three-dimensional stratum model into a rendering optimization platform, and obtaining stratum rendering parameters according to the rendering optimization platform;
further, step S600 of the present application further includes:
step S610: acquiring a rendering component set of the rendering optimization platform;
step S620: setting a preset rendering time, and inputting the preset rendering time into the rendering optimization platform;
step S630: acquiring a plurality of index information of the three-dimensional stratum model;
further, step S630 of the present application further includes:
step S631: connecting the data simulation system for data acquisition to obtain a model geometric index, a model refinement granularity index and a stratum complexity index of the three-dimensional stratum model;
step S632: and after the model geometric index, the model refined granularity index and the formation complexity index are subjected to standardization processing, outputting the indexes as the information of the plurality of indexes.
Step S640: inputting the index information into the rendering optimization platform, and building an adaptive response function by taking the rendering component set as a variable index and the preset rendering time as a constraint condition;
step S650: and obtaining the stratum rendering parameters according to the self-adaptive response function.
Specifically, model parameter query is carried out on the three-dimensional stratum model based on a data simulation system, and a model geometric index, a model refinement granularity index and a stratum complexity index are obtained. Because the model geometric index, the model refined granularity index and the stratum complexity index have different properties, the model geometric index, the model refined granularity index and the stratum complexity index generally have different dimensions and orders of magnitude. When the level difference among the model geometric index, the model refinement granularity index and the stratum complexity index is large, if the original model geometric index, the original model refinement granularity index and the original stratum complexity index are directly input into the rendering optimization platform, the function of the index with a higher numerical value in the rendering optimization analysis is highlighted, and the function of the index with a lower numerical value in the rendering optimization analysis is relatively weakened. Therefore, in order to ensure the reliability of the obtained stratum rendering parameters, the model geometric index, the model refinement granularity index and the stratum complexity index need to be subjected to standardization treatment, wherein the standardization treatment refers to dimension elimination and order of magnitude unification of the model geometric index, the model refinement granularity index and the stratum complexity index. The model geometric indexes comprise the size, depth and breadth of the stratum corresponding to the three-dimensional stratum model. The model refinement granularity index comprises a pixel frame corresponding to the three-dimensional stratum model, model granularity, model surface roughness and the like. The stratum complexity index comprises stratum structure complexity, ground flatness, fault fold degree and the like corresponding to the three-dimensional stratum model. The index information comprises dimensionless and order-unified model geometric indexes, model refined granularity indexes and stratum complexity indexes which finish standardization processing.
Further, inputting the index information and preset rendering time into a rendering optimization platform to obtain a self-adaptive response function, and determining stratum rendering parameters according to the self-adaptive response function. In the adaptive response function, the input information is a plurality of index information and preset rendering time, and the preset rendering time is a constraint condition; outputting information as a stratum rendering parameter; the rendering component set is a variable index of the adaptive response function, the rendering component set comprises a plurality of rendering components, and the plurality of rendering components comprise a plurality of rendering control parameters such as a plurality of rendering speeds, a plurality of rendering modes, a plurality of rendering saturations and a plurality of rendering channels which are preset and determined by a rendering optimization platform. The rendering optimization platform can be cloud rendering platforms such as Enfuzion, qube, muster and Deadline in the prior art. And performing fitness matching of a plurality of rendering control parameters in the rendering component set on the input index information and the preset rendering time by using the self-adaptive response function to obtain a stratum rendering parameter with the highest fitness. The preset rendering time can be determined by the adaptive setting of the working surface stratum modeling rendering optimization system. The stratum rendering parameters comprise a plurality of rendering control parameters such as a plurality of index information, rendering speed corresponding to preset rendering time, rendering mode, rendering saturation and the like. The technical effect that the rendering optimization analysis is carried out on the three-dimensional stratum model through the rendering optimization platform to obtain accurate stratum rendering parameters is achieved, and therefore the rendering accuracy of the three-dimensional stratum model is improved.
Step S700: and rendering the three-dimensional stratum model according to the stratum rendering parameters to obtain a stratum visualization model.
Further, step S700 of the present application further includes:
step S710: acquiring first dynamic display precision of the three-dimensional stratum model, wherein the first dynamic display precision is used for identifying the frame rate of picture pixels of the three-dimensional stratum model during dynamic display;
step S720: acquiring second dynamic display precision of the stratum visualization model, wherein the second dynamic display precision is used for identifying the frame rate of picture pixels of the stratum visualization model during dynamic display;
step S730: comparing the first dynamic display precision with the second dynamic display precision, and determining a precision reduction rate;
step S740: and acquiring reminding information for reminding the rendering processing of the situation of reduced picture frame precision according to the precision reduction rate.
Specifically, the rendering optimization platform is controlled to render the three-dimensional stratum model according to the stratum rendering parameters, and the stratum visualization model is obtained. And further, parameter query is carried out on the three-dimensional stratum model and the stratum visualization model to obtain a first dynamic display precision and a second dynamic display precision, and difference calculation is carried out on the first dynamic display precision and the second dynamic display precision to obtain the precision reduction rate. And when the precision reduction rate is not 0, acquiring reminding information. The stratum visualization model is a visualization rendering model corresponding to the three-dimensional stratum model obtained after the rendering optimization platform is controlled to render the three-dimensional stratum model according to the stratum rendering parameters. The formation visualization model can be used for visually displaying a plurality of formations in the target area. The first dynamic display precision comprises the frame rate of picture pixels of the three-dimensional stratum model during dynamic display. And the second dynamic display precision comprises the frame rate of picture pixels of the formation visualization model during dynamic display. The precision reduction rate comprises a difference between the first dynamic display precision and the second dynamic display precision. The reminding information is data information for reminding that the rendering processing has the condition of reduced picture frame precision. The technical effects of rendering the three-dimensional stratum model according to the stratum rendering parameters, obtaining the stratum visualization model, adaptively generating the reminding information according to the precision reduction rate and improving the modeling rendering quality of the stratum of the working face are achieved.
In summary, the working surface stratum modeling rendering optimization method provided by the application has the following technical effects:
1. acquiring multiple groups of formation detection data through multiple detection devices; partitioning the multiple groups of stratum detection data to obtain multiple data partitions, and performing partitioned data processing on the multiple data partitions to obtain multiple optimized partitions; generating stratum modeling data according to the plurality of optimization partitions; connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model; inputting information of the three-dimensional stratum model into a rendering optimization platform to obtain stratum rendering parameters; and rendering the three-dimensional stratum model according to the stratum rendering parameters to obtain a stratum visualization model. The method has the advantages of improving the accuracy, scientificity and intelligence of modeling and rendering the stratum of the working face, improving the modeling and rendering quality of the stratum of the working face, realizing the visual display of the stratum of the working face with high accuracy and providing data support for the safe production and geological survey of a coal mine.
2. And performing multi-stage partition data processing on the plurality of data partitions through the plurality of data processing sub-modules to obtain accurate and reliable stratum modeling data, so that the accuracy of constructing the three-dimensional stratum model is improved.
3. The stratum fusion degree is identified for the three-dimensional stratum model, the stratum fusion degree is obtained, whether the stratum fusion degree is in the preset stratum fusion degree is judged, and the three-dimensional stratum model is adaptively optimized, so that the fusion accuracy and precision of the three-dimensional stratum model are improved, and the rendering quality is prevented from being influenced due to inaccurate fusion of the three-dimensional stratum model.
4. And performing rendering optimization analysis on the three-dimensional stratum model through the rendering optimization platform to obtain accurate stratum rendering parameters, so that the rendering accuracy of the three-dimensional stratum model is improved.
Example two
Based on the working face stratum modeling rendering optimization method in the foregoing embodiment, the same inventive concept, the present invention further provides a working face stratum modeling rendering optimization system, please refer to fig. 3, where the system includes:
the detection data acquisition module 11 is configured to acquire multiple sets of formation detection data according to the multiple detection devices;
the data partition obtaining module 12 is configured to partition the multiple sets of formation detection data to obtain multiple data partitions, where each data partition corresponds to one set of formation detection data;
the partition data processing module 13 is configured to perform partition data processing on the multiple data partitions to obtain multiple optimized partitions;
a modeling data generation module 14, wherein the modeling data generation module 14 is configured to generate formation modeling data according to the plurality of optimization partitions;
the stratum model generation module 15 is used for connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model;
a rendering parameter obtaining module 16, where the rendering parameter obtaining module 16 is configured to input information of the three-dimensional stratum model into a rendering optimization platform, and obtain a stratum rendering parameter according to the rendering optimization platform;
and the rendering module 17 is configured to render the three-dimensional stratum model according to the stratum rendering parameters, so as to obtain a stratum visualization model.
Further, the system further comprises:
a rendering component determination module to obtain a set of rendering components of the rendering optimization platform;
the time setting module is used for setting preset rendering time and inputting the preset rendering time into the rendering optimization platform;
an index information determination module for obtaining a plurality of index information of the three-dimensional stratigraphic model;
the self-adaptive response function determining module is used for inputting the index information into the rendering optimization platform, taking the rendering component set as a variable index and the preset rendering time as a constraint condition, and constructing a self-adaptive response function;
a first execution module, configured to obtain the formation rendering parameter according to the adaptive response function.
Further, the system further comprises:
the index acquisition module is used for connecting the data simulation system to acquire data to obtain a model geometric index, a model refinement granularity index and a stratum complexity index of the three-dimensional stratum model;
and the standardization processing module is used for carrying out standardization processing on the model geometric index, the model refinement granularity index and the formation complexity index and then outputting the indexes as the information of the plurality of indexes.
Further, the system further comprises:
a first precision obtaining module, configured to obtain a first dynamic display precision of the three-dimensional stratum model, where the first dynamic display precision is used to identify a frame rate of a picture pixel when the three-dimensional stratum model is dynamically displayed;
a second precision obtaining module, configured to obtain a second dynamic display precision of the formation visualization model, where the second dynamic display precision is used to identify a frame rate of a picture pixel when the formation visualization model performs dynamic display;
the precision reduction rate acquisition module is used for comparing the first dynamic display precision with the second dynamic display precision and determining a precision reduction rate;
and the reminding information acquisition module is used for acquiring reminding information according to the precision reduction rate and reminding that the precision of the picture frame is reduced in the rendering processing.
Further, the system further comprises:
a multi-view display image acquisition module for acquiring a multi-view display image of the three-dimensional stratigraphic model;
the stratum fusion degree acquisition module is used for acquiring stratum fusion degree according to the multi-view display image;
the optimization instruction acquisition module is used for judging whether the stratum fusion degree is in a preset stratum fusion degree or not, and if the stratum fusion degree is not in the preset stratum fusion degree, obtaining a modeling optimization instruction;
and the second execution module is used for optimizing the three-dimensional stratum model according to the modeling optimization instruction to obtain an optimized stratum model.
Further, the system further comprises:
the stratum fusion characteristic identification module is used for carrying out stratum fusion characteristic identification on the multi-view display image to obtain a fusion characteristic identification result;
the image intercepting module is used for intercepting the multi-view display image according to the fusion feature identification result to obtain an intercepted feature image;
and the stratum fusion degree identification module is used for identifying the stratum fusion degree of the three-dimensional stratum model according to the intercepted characteristic image to acquire the stratum fusion degree.
Further, the system further comprises:
the third execution module is used for carrying out partition data processing on the plurality of data partitions and comprises a plurality of data processing sub-modules, wherein the plurality of data processing sub-modules comprise a data type conversion sub-module, a boundary point filtering sub-module, an area thickness calculation sub-module and an interpolation supplementary calculation sub-module, and data interaction is carried out among the modules;
and the fourth execution module is used for carrying out partition data processing on the plurality of data partitions according to the data type conversion submodule, the boundary point filtering submodule, the area thickness calculation submodule and the interpolation supplement calculation submodule to obtain the plurality of optimized partitions.
The working face stratum modeling rendering optimization system provided by the embodiment of the invention can execute the working face stratum modeling rendering optimization method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Each included module is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be realized; in addition, the specific names of the functional modules are only for convenience of distinguishing from each other and are not used for limiting the protection scope of the present invention.
The application provides a working face stratum modeling rendering optimization method, wherein the method is applied to a working face stratum modeling rendering optimization system, and the method comprises the following steps: acquiring multiple groups of formation detection data through multiple detection devices; partitioning the multiple groups of stratum detection data to obtain multiple data partitions, and performing partitioned data processing on the multiple data partitions to obtain multiple optimized partitions; generating stratum modeling data according to the plurality of optimization partitions; connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model; inputting information of the three-dimensional stratum model into a rendering optimization platform to obtain stratum rendering parameters; and rendering the three-dimensional stratum model according to the stratum rendering parameters to obtain a stratum visualization model. The technical problems that modeling rendering accuracy of a working face stratum is low, and accordingly modeling rendering effect of the working face stratum is poor and visualization effect is poor in the prior art are solved. The method has the advantages of improving the accuracy, scientificity and intelligence of modeling and rendering the stratum of the working face, improving the modeling and rendering quality of the stratum of the working face, realizing the visual display of the stratum of the working face with high accuracy and providing data support for the safe production and geological survey of a coal mine.
It is to be noted that the foregoing description is only exemplary of the invention and that the principles of the technology may be employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in some detail by the above embodiments, the invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the invention, and the scope of the invention is determined by the scope of the appended claims.
Claims (8)
1. A working face stratum modeling rendering optimization method is applied to a working face stratum modeling rendering optimization system which is in communication connection with a plurality of detection devices, and comprises the following steps:
acquiring a plurality of groups of formation detection data according to the plurality of detection devices;
partitioning the multiple groups of stratum detection data to obtain multiple data partitions, wherein each data partition corresponds to one group of stratum detection data;
performing partition data processing on the plurality of data partitions to obtain a plurality of optimized partitions;
generating stratum modeling data according to the plurality of optimization partitions;
connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model;
inputting the information of the three-dimensional stratum model into a rendering optimization platform, and obtaining stratum rendering parameters according to the rendering optimization platform;
and rendering the three-dimensional stratum model according to the stratum rendering parameters to obtain a stratum visualization model.
2. The method of claim 1, wherein inputting information of the three-dimensional stratigraphic model into a rendering optimization platform, and obtaining stratigraphic rendering parameters from the rendering optimization platform comprises:
acquiring a rendering component set of the rendering optimization platform;
setting a preset rendering time, and inputting the preset rendering time into the rendering optimization platform;
acquiring a plurality of index information of the three-dimensional stratum model;
inputting the index information into the rendering optimization platform, and building an adaptive response function by taking the rendering component set as a variable index and the preset rendering time as a constraint condition;
and obtaining the stratum rendering parameters according to the self-adaptive response function.
3. The method of claim 2, wherein the method further comprises:
connecting the data simulation system for data acquisition to obtain a model geometric index, a model refinement granularity index and a stratum complexity index of the three-dimensional stratum model;
and after the model geometric index, the model refined granularity index and the formation complexity index are subjected to standardization processing, outputting the indexes as the information of the plurality of indexes.
4. The method of claim 1, wherein the method further comprises:
acquiring a first dynamic display precision of the three-dimensional stratum model, wherein the first dynamic display precision is used for identifying the frame rate of picture pixels of the three-dimensional stratum model during dynamic display;
acquiring second dynamic display precision of the stratum visualization model, wherein the second dynamic display precision is used for identifying the frame rate of picture pixels of the stratum visualization model during dynamic display;
comparing the first dynamic display precision with the second dynamic display precision, and determining a precision reduction rate;
and acquiring reminding information for reminding the rendering processing of the situation of reduced picture frame precision according to the precision reduction rate.
5. The method of claim 1, wherein after generating the three-dimensional formation model, the method further comprises:
acquiring a multi-view display image of the three-dimensional stratum model;
acquiring stratum fusion degree according to the multi-view display image;
judging whether the stratum fusion degree is in a preset stratum fusion degree or not, and if the stratum fusion degree is not in the preset stratum fusion degree, obtaining a modeling optimization instruction;
and optimizing the three-dimensional stratum model according to the modeling optimization instruction to obtain an optimized stratum model.
6. The method of claim 5, wherein obtaining formation fusion from the multi-view display images comprises:
carrying out stratum fusion feature identification on the multi-view display image to obtain a fusion feature identification result;
intercepting the multi-view display image according to the fusion feature identification result to obtain an intercepted feature image;
and according to the intercepted characteristic image, carrying out stratum fusion degree identification on the three-dimensional stratum model to obtain the stratum fusion degree.
7. The method of claim 6, wherein partitioning the data into the plurality of data partitions results in a plurality of optimized partitions, the method comprising:
the data processing of the plurality of data partitions in a partitioning mode comprises a plurality of data processing sub-modules, wherein the data processing sub-modules comprise a data type conversion sub-module, a boundary point filtering sub-module, an area thickness calculation sub-module and an interpolation supplement calculation sub-module, and data interaction is carried out among the modules;
and performing partition data processing on the plurality of data partitions according to the data type conversion submodule, the boundary point filtering submodule, the area thickness calculation submodule and the interpolation supplement calculation submodule to obtain the plurality of optimized partitions.
8. A system for modeling, rendering and optimizing a working surface formation, the system communicatively coupled to a plurality of detection devices, the system comprising:
the detection data acquisition module is used for acquiring a plurality of groups of formation detection data according to the plurality of detection devices;
the data partition acquisition module is used for partitioning the multiple groups of stratum detection data to obtain multiple data partitions, wherein each data partition corresponds to one group of stratum detection data;
the partition data processing module is used for carrying out partition data processing on the plurality of data partitions to obtain a plurality of optimized partitions;
the modeling data generation module is used for generating stratum modeling data according to the plurality of optimization partitions;
the stratum model generation module is used for connecting a data simulation system to model the stratum modeling data to generate a three-dimensional stratum model;
the rendering parameter acquisition module is used for inputting the information of the three-dimensional stratum model into a rendering optimization platform and obtaining stratum rendering parameters according to the rendering optimization platform;
and the rendering module is used for rendering the three-dimensional stratum model according to the stratum rendering parameters to obtain a stratum visualization model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310000512.7A CN115690292B (en) | 2023-01-03 | 2023-01-03 | Working face stratum modeling rendering optimization method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310000512.7A CN115690292B (en) | 2023-01-03 | 2023-01-03 | Working face stratum modeling rendering optimization method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115690292A true CN115690292A (en) | 2023-02-03 |
| CN115690292B CN115690292B (en) | 2023-03-21 |
Family
ID=85057283
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310000512.7A Active CN115690292B (en) | 2023-01-03 | 2023-01-03 | Working face stratum modeling rendering optimization method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115690292B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116152456A (en) * | 2023-03-02 | 2023-05-23 | 南京工业大学 | Three-dimensional stratum structure visualization method and system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6373489B1 (en) * | 1999-01-12 | 2002-04-16 | Schlumberger Technology Corporation | Scalable visualization for interactive geometry modeling |
| US20110315376A1 (en) * | 2009-03-11 | 2011-12-29 | Tao Sun | Gradient-Based Workflows For Conditioning Of Process-Based Geologic Models |
| CN104299255A (en) * | 2014-09-30 | 2015-01-21 | 长江岩土工程总公司（武汉） | Three-dimensional terrain model rendering method |
| CN105719342A (en) * | 2016-01-05 | 2016-06-29 | 首都师范大学 | Three-dimensional modeling visualization method and device of ground fracture geologic body |
| CN110610541A (en) * | 2019-09-30 | 2019-12-24 | 上海勘察设计研究院(集团)有限公司 | BIM geological model modeling method based on database and GIS technology |
| CN111612906A (en) * | 2020-05-25 | 2020-09-01 | 长江大学 | Method and system for generating three-dimensional geological model and computer storage medium |
| CN111950046A (en) * | 2020-07-03 | 2020-11-17 | 成都理工大学 | Drilling data model construction method based on BIM |
| CN113112579A (en) * | 2021-04-13 | 2021-07-13 | 苍穹数码技术股份有限公司 | Rendering method, rendering device, electronic equipment and computer-readable storage medium |
-
2023
- 2023-01-03 CN CN202310000512.7A patent/CN115690292B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6373489B1 (en) * | 1999-01-12 | 2002-04-16 | Schlumberger Technology Corporation | Scalable visualization for interactive geometry modeling |
| US20110315376A1 (en) * | 2009-03-11 | 2011-12-29 | Tao Sun | Gradient-Based Workflows For Conditioning Of Process-Based Geologic Models |
| CN104299255A (en) * | 2014-09-30 | 2015-01-21 | 长江岩土工程总公司（武汉） | Three-dimensional terrain model rendering method |
| CN105719342A (en) * | 2016-01-05 | 2016-06-29 | 首都师范大学 | Three-dimensional modeling visualization method and device of ground fracture geologic body |
| CN110610541A (en) * | 2019-09-30 | 2019-12-24 | 上海勘察设计研究院(集团)有限公司 | BIM geological model modeling method based on database and GIS technology |
| CN111612906A (en) * | 2020-05-25 | 2020-09-01 | 长江大学 | Method and system for generating three-dimensional geological model and computer storage medium |
| CN111950046A (en) * | 2020-07-03 | 2020-11-17 | 成都理工大学 | Drilling data model construction method based on BIM |
| CN113112579A (en) * | 2021-04-13 | 2021-07-13 | 苍穹数码技术股份有限公司 | Rendering method, rendering device, electronic equipment and computer-readable storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116152456A (en) * | 2023-03-02 | 2023-05-23 | 南京工业大学 | Three-dimensional stratum structure visualization method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115690292B (en) | 2023-03-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA2810540C (en) | Seismic attribute color model transform | |
| CN107402176B (en) | method and device for determining porosity of crack | |
| CA2918280C (en) | Creating a thickness grid for determining reserve estimates for a reservoir | |
| CN115690292B (en) | Working face stratum modeling rendering optimization method and system | |
| US20120320712A1 (en) | Dip seismic attribute | |
| CN105684047A (en) | Dynamically updating compartments representing one or more geological structures | |
| CN110400371A (en) | A kind of 3 D model construction method of horizontal tectonics landforms entity | |
| CN108318534B (en) | Core-constrained electrical imaging logging image processing method and device | |
| WO2011147017A2 (en) | System and method for extracting features in a medium from data having spatial coordinates | |
| CN112925017A (en) | Fracture type reservoir geological modeling method | |
| CN112102488A (en) | Construction method of three-dimensional visual dynamic monitoring structure model of underground water resource | |
| CN106033126B (en) | A kind of quantitative division methods of oil gas unit degree of prospecting | |
| CN109188522B (en) | Velocity field construction method and device | |
| CN106468171A (en) | The laddering glutenite petrofacies method of discrimination of multi information coupling | |
| GB2476053A (en) | Displaying seismic data in the form of a predicted well log for a planned well trajectory to make interpretation easier for a drilling rig operator | |
| CN115758792A (en) | Geological disaster assessment method and device based on digital numerical integration | |
| CN115510546A (en) | Three-dimensional cloud map generation method and device for underground engineering and geological occurrence attributes | |
| Miroslav et al. | Tutorial: The gravity-stripping process as applied to gravity interpretation in the eastern Mediterranean | |
| CN114898057A (en) | Geological profile three-dimensional space information extraction method and device and storage medium | |
| CN117852416B (en) | Multimode grouting precontrolled analysis method and system based on digital geological model | |
| CN111965707A (en) | Seismic inversion reservoir prediction method for complex structure containing inversion fracture | |
| CN111815769A (en) | Modeling method, computing device and storage medium for thrust-driven tectonic belt structure | |
| Lyu et al. | Classification, modeling and characterization of marine carbonate paleokarst reservoirs in Tahe Oilfield, Tarim Basin, China | |
| LU504992B1 (en) | Method and apparatus for establishing three-dimensional (3d) geological environment evaluation model for underground space, and device | |
| US11320550B2 (en) | Processing a 4D seismic signal based on noise model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |