Three-dimensional geological modeling method, device, equipment and medium integrating multiple attribute parameters
Through the three-dimensional geological modeling method that integrates multi-attribute parameters, the problem that the existing technology can only deal with a single basic attribute parameter is solved, and the spatial calculation of multiple attribute parameters and the three-dimensional display of target attribute parameters is realized, which improves the safety and reliability of engineering construction.
Patent Information
- Application Number
- CN202510152087.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-12
- Publication Date
- 2025-05-23
- Estimated Expiration
- 2045-02-12
AI Technical Summary
The existing three-dimensional geological modeling methods can only target a single basic attribute parameter, and fail to spatially calculate multiple basic attribute parameters to obtain target attribute parameters, and display their distribution in the three-dimensional geological body.
A three-dimensional geological modeling method that integrates multi-attribute parameters is adopted to obtain the topographic data of the research area and a variety of basic attribute parameters, and a three-dimensional geological boundary model is established, and a three-dimensional geological model of the target attribute parameters is obtained through steps such as quality level division, fitting classification surfaces, and sampling point calculation.
It is realized that a variety of basic attribute parameters are spatially calculated to obtain target attribute parameters and display their distribution in three-dimensional geological bodies, which improves the safety and reliability of engineering construction in geological bodies.
Smart Images

Figure CN119648944B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of rock mass engineering geomechanics, and in particular to a three-dimensional geological modeling method, device, equipment and medium integrating multiple attribute parameters. Background Art
[0002] Three-dimensional geological modeling refers to the technology of using computers to construct three-dimensional geological bodies in three-dimensional space based on the acquired geological information in the form of points, lines or surfaces, and for geological research. In recent years, major projects in my country have been rapidly constructed and gradually developed into deep earth. These deep earth projects often exist in complex geological environments. Revealing the geological body information in the engineering area and displaying it in three dimensions are crucial for the safe construction and operation of deep earth projects. The construction of a point (line)-surface-body dimensional geological model integrating multi-attribute parameters is to carry out numerical calculation of point parameters containing multiple basic attributes of three-dimensional geological bodies in three-dimensional space according to design needs, and obtain point parameters of target attributes (such as engineering geological conditions of geological bodies, etc.), and then fit to obtain classification surfaces containing target attribute parameter information, and finally construct a target attribute geological body parameter model to realize the display of target attribute parameter information in three-dimensional geological bodies, which is of great significance to ensure the smooth development of engineering construction in geological bodies.
[0003] However, the three-dimensional geological bodies currently constructed only target single basic attribute parameters, such as the strength, temperature, stress, permeability, etc. of the geological body. There is no method that can spatially calculate multiple basic attribute parameters to obtain target attribute parameters and display the distribution of the target attribute parameters in the three-dimensional geological body. Summary of the invention
[0004] The purpose of this application is to provide a three-dimensional geological modeling method, device, equipment and medium that integrates multiple attribute parameters, which can perform spatial calculations on multiple basic attribute parameters to obtain target attribute parameters, and display the distribution of the target attribute parameters in the three-dimensional geological body.
[0005] To achieve the above objectives, this application provides the following solutions.
[0006] In a first aspect, the present application provides a three-dimensional geological modeling method integrating multiple attribute parameters, and the three-dimensional geological modeling method integrating multiple attribute parameters includes the following steps.
[0007] The terrain data of the study area and the first value of each of the multiple basic attribute parameters at different locations in the study area are obtained.
[0008] A three-dimensional geological body boundary model corresponding to the study area is established based on the terrain data of the study area.
[0009] For each basic attribute parameter, quality grade division is performed based on the first value of the basic attribute parameter at different position points in the study area, and the first boundary value between adjacent quality grades is determined. For each first boundary value, a position point whose absolute value of the difference between the first value and the first boundary value is less than a first preset value is selected as the selected position point, and fitting is performed based on all the selected position points to obtain the first classification surface between adjacent quality grades; the three-dimensional geological body boundary model and all the first classification surfaces are combined to obtain a three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter; the three-dimensional geological body basic attribute parameter model includes multiple first-level areas, and the quality grades of the position points in each first-level area are the same.
[0010] The three-dimensional geological body boundary model is sampled at preset intervals to obtain a plurality of sampling points.
[0011] For each sampling point, based on the three-dimensional coordinates of the sampling point, the quality level of each basic attribute parameter at the sampling point is determined using the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter, and the second value of the target attribute parameter at the sampling point is calculated based on the quality level of each basic attribute parameter at the sampling point; wherein the target attribute parameter is an attribute parameter obtained by combining all basic attribute parameters.
[0012] Based on the second value of the target attribute parameter at all sampling points, quality grade division is performed, and the second boundary value between adjacent quality grades is determined. For each second boundary value, a sampling point whose absolute value of the difference between the second value and the second boundary value is less than a second preset value is selected as the selected sampling point, and fitting is performed based on all the selected sampling points to obtain a second classification surface between adjacent quality grades; the three-dimensional geological body boundary model and all the second classification surfaces are combined to obtain a three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter; the three-dimensional geological body target attribute parameter model includes multiple second grade areas, and the quality grades of the position points in each second grade area are the same.
[0013] In a second aspect, the present application provides a three-dimensional geological modeling device integrating multiple attribute parameters, and the three-dimensional geological modeling device integrating multiple attribute parameters includes the following modules.
[0014] The data acquisition module is used to acquire the terrain data of the study area and the first value of each basic attribute parameter of the plurality of basic attribute parameters at different positions in the study area.
[0015] The boundary model building module is used to establish a three-dimensional geological body boundary model corresponding to the study area based on the terrain data of the study area.
[0016] A basic attribute model construction module is used to divide the quality level of each basic attribute parameter based on the first value of the basic attribute parameter at different position points in the study area, determine the first boundary value between adjacent quality levels, and for each first boundary value, select a position point whose absolute value of the difference between the first value and the first boundary value is less than a first preset value as the selected position point, and fit based on all the selected position points to obtain the first classification surface between adjacent quality levels; combine the three-dimensional geological body boundary model and all the first classification surfaces to obtain the three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter; the three-dimensional geological body basic attribute parameter model includes multiple first-level areas, and the quality levels of the position points in each first-level area are the same.
[0017] The sampling module is used to sample the three-dimensional geological body boundary model at preset intervals to obtain multiple sampling points.
[0018] The target attribute calculation module is used to determine, for each sampling point, the quality level of each basic attribute parameter at the sampling point based on the three-dimensional coordinates of the sampling point and using the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter, and calculate the second value of the target attribute parameter at the sampling point based on the quality level of each basic attribute parameter at the sampling point; wherein the target attribute parameter is an attribute parameter obtained by combining all basic attribute parameters.
[0019] The target attribute model construction module is used to divide the quality level based on the second value of the target attribute parameter at all sampling points, determine the second boundary value between adjacent quality levels, and for each second boundary value, select the sampling point whose absolute value of the difference between the second value and the second boundary value is less than the second preset value as the selected sampling point, and fit based on all the selected sampling points to obtain the second classification surface between adjacent quality levels; combine the three-dimensional geological body boundary model and all the second classification surfaces to obtain the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter; the three-dimensional geological body target attribute parameter model includes multiple second level areas, and the quality level of the position points in each second level area is the same.
[0020] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned three-dimensional geological modeling method integrating multiple attribute parameters.
[0021] Fourthly, the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned three-dimensional geological modeling method for fusing multi-attribute parameters is implemented.
[0022] According to the specific embodiments provided by the present application, the present application has the following technical effects.
[0023] The present application provides a three-dimensional geological modeling method, device, equipment and medium for fusing multi-attribute parameters. After obtaining the three-dimensional geological body basic attribute parameter models corresponding to each basic attribute parameter, the three-dimensional geological body boundary model is sampled at a preset interval to obtain a plurality of sampling points. For each sampling point, based on the three-dimensional coordinates of the sampling point, the quality level of each basic attribute parameter at the sampling point is determined by using the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter. Further, the second value of the target attribute parameter at the sampling point is calculated. Based on the second values of the target attribute parameter at all sampling points, the quality levels are divided, the second boundary value between adjacent quality levels is determined, and for each second boundary value, the sampling points with the absolute value of the difference between the second value and the second boundary value less than the second preset value are selected as the selected sampling points, and fitting is performed based on all the selected sampling points to obtain the second classification surface between adjacent quality levels. The three-dimensional geological body boundary model and all the second classification surfaces are combined to obtain the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter. The present application can perform spatial calculation on multiple basic attribute parameters to obtain the target attribute parameter, further divide the quality levels of the values of the target attribute parameter, fit the second classification surface, and combine the second classification surface and the three-dimensional geological body boundary model to obtain the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter, which can display the distribution of the target attribute parameter in the three-dimensional geological body, realize the display of the target attribute parameter information in the three-dimensional geological body, and is of great significance for ensuring the smooth development of engineering construction in the geological body. Description of the Drawings
[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0025] Figure 1 It is an application environment diagram of a three-dimensional geological modeling method for fusing multi-attribute parameters provided in Embodiment 1 of the present application.
[0026] Figure 2 It is a schematic flowchart of a three-dimensional geological modeling method for fusing multi-attribute parameters provided in Embodiment 1 of the present application.
[0027] Figure 3 A schematic diagram of the principle of a three-dimensional geological modeling method integrating multiple attribute parameters provided in Example 1 of the present application.
[0028] Figure 4 A schematic diagram of the functional modules of a three-dimensional geological modeling device integrating multiple attribute parameters provided in Example 2 of the present application.
[0029] Figure 5 A schematic diagram of the structure of a computer device provided in Example 3 of the present application. DETAILED DESCRIPTION
[0030] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0031] Example 1.
[0032] The three-dimensional geological modeling method integrating multiple attribute parameters provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal communicates with the server through the network. The data storage system can store the data that the server needs to process. The data storage system can be set up separately, integrated on the server, or placed on the cloud or other servers. The terminal can send the modeling request to be processed to the server. After the server receives the modeling request to be processed, for the modeling request to be processed, the server obtains the terrain data of the study area and the first value of each of the multiple basic attribute parameters at different positions in the study area; based on the terrain data of the study area, a three-dimensional geological body boundary model corresponding to the study area is established; for each basic attribute parameter, the quality level is divided based on the first value of the basic attribute parameter at different positions in the study area, and the first boundary value between adjacent quality levels is determined, and for each first boundary value, the position point where the absolute value of the difference between the first value and the first boundary value is less than the first preset value is selected as the selected position point, and fitting is performed based on all the selected position points to obtain the first classification surface between adjacent quality levels; the three-dimensional geological body boundary model and all the first classification surfaces are combined to obtain the three-dimensional geological body basic attribute parameters corresponding to the basic attribute parameters. Model; sampling the three-dimensional geological body boundary model at a preset interval to obtain multiple sampling points; for each sampling point, based on the three-dimensional coordinates of the sampling point, using the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter to determine the quality level of each basic attribute parameter at the sampling point, and based on the quality level of each basic attribute parameter at the sampling point, calculate the second value of the target attribute parameter at the sampling point; based on the second value of the target attribute parameter at all sampling points, quality level division is performed to determine the second boundary value between adjacent quality levels, and for each second boundary value, the sampling point whose absolute value of the difference between the second value and the second boundary value is less than the second preset value is selected as the selected sampling point, and fitting is performed based on all the selected sampling points to obtain the second classification surface between adjacent quality levels; the three-dimensional geological body boundary model and all the second classification surfaces are combined to obtain the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter. The server can feed back the obtained three-dimensional geological body target attribute parameter model for the modeling request to the terminal.
[0033] In addition, in some embodiments, the three-dimensional geological modeling method integrating multiple attribute parameters can also be implemented independently by a server or a terminal. For example, the terminal can directly process the modeling request to be processed, or the server can obtain the modeling request to be processed from the data storage system and process the modeling request to be processed.
[0034] The terminals may be, but are not limited to, various desktop computers, laptops, smart phones, tablet computers, IoT devices and portable wearable devices. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server may be implemented as an independent server or a server cluster consisting of multiple servers, or a cloud server.
[0035] In an exemplary embodiment, Figure 2 As shown, a 3D geological modeling method integrating multiple attribute parameters is provided. The method is executed by a computer device, and specifically can be executed by a computer device such as a terminal or a server alone, or can be executed by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The following steps are used to illustrate the server in the example.
[0036] Step S1, obtaining terrain data of a study area and a first value of each of a plurality of basic attribute parameters at different locations in the study area.
[0037] Step S2: establishing a three-dimensional geological body boundary model corresponding to the study area based on the terrain data of the study area.
[0038] Step S3, for each basic attribute parameter, quality grade division is performed based on the first value of the basic attribute parameter at different position points in the study area, and the first boundary value between adjacent quality grades is determined, and for each first boundary value, a position point whose absolute value of the difference between the first value and the first boundary value is less than a first preset value is selected as the selected position point, and fitting is performed based on all the selected position points to obtain the first classification surface between adjacent quality grades; the three-dimensional geological body boundary model and all the first classification surfaces are combined to obtain a three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter; the three-dimensional geological body basic attribute parameter model includes multiple first-level areas, and the quality grades of the position points in each first-level area are the same.
[0039] Step S4: sampling the three-dimensional geological body boundary model at preset intervals to obtain a plurality of sampling points.
[0040] Step S5: for each sampling point, based on the three-dimensional coordinates of the sampling point, the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter is used to determine the quality level of each basic attribute parameter at the sampling point, and based on the quality level of each basic attribute parameter at the sampling point, a second value of the target attribute parameter at the sampling point is calculated; wherein the target attribute parameter is an attribute parameter obtained by combining all basic attribute parameters.
[0041] Step S6, dividing the quality levels based on the second values of the target attribute parameters at all sampling points, determining the second boundary value between adjacent quality levels, and for each second boundary value, selecting a sampling point whose absolute value of the difference between the second value and the second boundary value is less than a second preset value as the selected sampling point, and fitting based on all the selected sampling points to obtain a second classification surface between adjacent quality levels; combining the three-dimensional geological body boundary model and all the second classification surfaces to obtain a three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter; the three-dimensional geological body target attribute parameter model includes multiple second level areas, and the quality levels of the position points in each second level area are the same.
[0042] By implementing the above steps S1 to S6, this embodiment first constructs a three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter, and on this basis, calculates and obtains the second value of the target attribute parameter at each sampling point, and establishes a three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter based on the second value of the target attribute parameter at all sampling points, so that multiple basic attribute parameters can be spatially calculated to obtain the target attribute parameters, and the distribution of the target attribute parameters in the three-dimensional geological body can be displayed, which can realize the display of target attribute parameter information integrating multiple basic attribute parameters in the three-dimensional geological body, which is of great significance to ensuring the smooth development of engineering construction in the geological body.
[0043] The following, combined Figure 3 The three-dimensional geological modeling method integrating multiple attribute parameters of this embodiment is further introduced.
[0044] (I) Construction of three-dimensional geological model and extraction of basic attribute parameters, corresponding to step S1 to step S3.
[0045] This embodiment divides the values of various basic attribute parameters into five quality levels based on the spatial distribution information of different basic attribute points, lines or surface parameters, and then uses three-dimensional modeling software to respectively construct different basic attribute parameter models of the three-dimensional geological body, divides the three-dimensional geological body into different grade areas and numbers them, generates three-dimensional discrete points at fixed intervals within the range including the entire three-dimensional geological body based on the spatial range of the three-dimensional geological body, and sequentially exports the three-dimensional discrete points in each grade area in various basic attribute parameter models to obtain the three-dimensional coordinates of the three-dimensional discrete points and the quality level under the basic attribute parameters. The specific steps are as follows.
[0046] (1) Determine the scope of the study area according to work needs, collect terrain data of the study area and the numerical values of various basic attribute point, line or surface parameters at different locations in the study area. The terrain data includes contour lines or contour points.
[0047] The above steps correspond to step S1, i.e., obtaining the topographic data of the study area and the first value of each of the multiple basic attribute parameters at different positions in the study area. By collecting geological data in the study area, survey reports, geological maps, profile data, drilling data, etc. can be obtained, and the first value can be determined based on the survey report, geological map, profile data, drilling data, etc.
[0048] Basic attribute parameters refer to a series of basic physical, chemical and mechanical data used to describe the characteristics of earth materials, geological structures, strata distribution, etc. in geological research. These parameters are crucial for understanding geological processes, evaluating natural resources (such as minerals, groundwater), and engineering construction (such as tunnels, building foundations), etc. In this embodiment, basic attribute parameters may include: rock type, density, hardness, compressive strength, geostress, elastic modulus, porosity, permeability, hydrogeological parameters (such as permeability coefficient, water storage coefficient, etc.), thermal conductivity, magnetic susceptibility, resistivity, etc. In this embodiment, the specific type of basic attribute parameters is determined according to the target attribute parameters to be studied.
[0049] (2) Import the terrain data of the study area into 3D modeling software such as Rhino and CAD (of course, other 3D modeling software can also be used as long as it can complete the 3D modeling function). Build a ground surface model based on the terrain data, that is, build the upper boundary surface of the 3D geological body boundary model. Then, in the 3D modeling software, generate the lower boundary surface of the 3D geological body boundary model according to the scope of the study area. The lower boundary surface can be a plane or a curved surface. It can have the same shape as the upper boundary surface, or it can be set according to the needs. Generate boundary surfaces around the upper and lower boundary surfaces to obtain a 3D geological body boundary model.
[0050] The above steps correspond to step S2, that is, establishing a three-dimensional geological body boundary model corresponding to the study area based on the terrain data of the study area.
[0051] Among them, a three-dimensional geological body boundary model corresponding to the study area is established based on the terrain data of the study area, specifically including: establishing a first boundary surface (i.e., an upper boundary surface) based on the terrain data of the study area, and the first boundary surface is located above the ground; establishing a second boundary surface (i.e., a lower boundary surface) based on the scope of the study area, and the second boundary surface is located underground; based on the first boundary surface and the second boundary surface, a three-dimensional geological body boundary model corresponding to the study area is established.
[0052] (3) Based on the values of various basic attribute parameters, the values of various basic attribute parameters are divided into five quality levels, from the first to the fifth category, representing good quality, relatively good quality, medium quality, relatively poor quality and poor quality respectively. For each basic attribute parameter, the discrete position points of the basic attribute parameter values near the boundary values of different classifications (the boundary values of categories 1 and 2, the boundary values of categories 2 and 3, the boundary values of categories 3 and 4, and the boundary values of categories 4 and 5) are extracted in turn and imported into the 3D modeling software to construct the classification surface, thereby obtaining multiple classification surfaces within the geological body.
[0053] (4) In the 3D modeling software, the boundary surface of the 3D geological body boundary model is combined with the classification surface of each basic attribute parameter to obtain the 3D geological body basic attribute parameter model corresponding to each basic attribute parameter. Then, the different level areas in each 3D geological body basic attribute parameter model are numbered according to the different classifications. For example, the Class 1 area (i.e., the first level area) in the attribute 1 model (i.e., the 3D geological body basic attribute parameter model corresponding to the first basic attribute parameter) is named 1-1, the Class 2 area in the attribute 2 model is named 2-2, and so on.
[0054] The above steps correspond to step S3, that is, for each basic attribute parameter, quality grade division is performed based on the first value of the basic attribute parameter at different position points in the study area, and the first boundary value between adjacent quality grades is determined. For each first boundary value, a position point whose absolute value of the difference between the first value and the first boundary value is less than a first preset value is selected as the selected position point, and fitting is performed based on all the selected position points to obtain the first classification surface between adjacent quality grades, and the three-dimensional geological body boundary model and all the first classification surfaces are combined to obtain a three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter. The three-dimensional geological body basic attribute parameter model includes multiple first-level areas, and the quality grades of the position points in each first-level area are the same, thereby completing the parameter model construction.
[0055] Among them, quality grade division is performed based on the first values of the basic attribute parameters at different locations in the study area, and the first boundary value between adjacent quality grades is determined, which specifically includes: taking the first values of the basic attribute parameters at different locations in the study area as input, using the natural breakpoint method to divide the quality grades, and determining the first boundary value between adjacent quality grades.
[0056] Of course, in this embodiment, the first limit value between adjacent quality levels may also be determined according to specifications or actual user requirements.
[0057] Among them, the number of quality levels is 5, namely good quality, better quality, medium quality, poor quality and bad quality; the number of first boundary values is 4, namely the first boundary value between good quality and better quality, the first boundary value between good quality and medium quality, the first boundary value between medium quality and poor quality, and the first boundary value between poor quality and bad quality.
[0058] Of course, the number of quality levels can also be selected as other values according to needs, as long as the classification is carried out according to the quality. The number of first limit values is equal to the number of quality levels minus 1.
[0059] The first preset value is manually determined according to the type of specific basic attribute parameters.
[0060] The fitting based on all the selected position points specifically includes: performing surface fitting based on all the selected position points.
[0061] Among them, the three-dimensional geological body boundary model and all the first classification surfaces are combined to obtain the three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameters, which specifically includes: combining the three-dimensional geological body boundary model and all the first classification surfaces, so as to divide the three-dimensional geological body boundary model into multiple first-level areas by using all the first classification surfaces, and obtaining the three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameters.
[0062] (5) Based on the spatial scope of the established three-dimensional geological body boundary model, use Python programming or Matlab software to generate three-dimensional discrete points at certain intervals (the intervals are adjusted according to the actual scope of the three-dimensional geological body boundary model) within a cube (other shapes can also be used as long as the scope can include the scope of the three-dimensional geological body boundary model) that includes the scope of the entire three-dimensional geological body boundary model, ensure that the scope composed of the three-dimensional discrete points includes the scope of the entire three-dimensional geological body boundary model, and export the three-dimensional coordinates of these three-dimensional discrete points to obtain the "discrete point three-dimensional coordinates.txt" file.
[0063] The above steps correspond to step S4, that is, sampling the three-dimensional geological body boundary model according to a preset interval to obtain a plurality of sampling points (ie, three-dimensional discrete points) to complete the discretization of the parameter model.
[0064] (6) Import the "discrete point three-dimensional coordinates.txt" file into the three-dimensional modeling software, and use the judgment, screening and other commands in the three-dimensional modeling software to obtain the inclusion relationship between each three-dimensional discrete point and each level area in each three-dimensional geological body basic attribute parameter model, and export the three-dimensional coordinates of the three-dimensional discrete points in the same level area of the same three-dimensional geological body basic attribute parameter model to a txt file. For example, for the attribute 1 model, the three-dimensional coordinates of the three-dimensional discrete points belonging to the first, second, third, fourth and fifth categories in the model are exported in turn and saved in the "1-1.txt", "1-2.txt", "1-3.txt", "1-4.txt" and "1-5.txt" files respectively. The other attribute models are processed in the same way and exported to "2-1.txt", "2-2.txt" and other files.
[0065] The above steps correspond to some steps in step S5, that is, for each sampling point, based on the three-dimensional coordinates of the sampling point, the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter is used to determine the quality level of each basic attribute parameter at the sampling point, and complete the discrete point export.
[0066] Among them, based on the three-dimensional coordinates of the sampling points, the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter is used to determine the quality level of each basic attribute parameter at the sampling point, specifically including: for each three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter, based on the three-dimensional coordinates of the sampling points, the first-level area where the sampling point is located in the three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter is determined, and the quality level of the first-level area where the sampling point is located is used as the quality level of the basic attribute parameter at the sampling point.
[0067] Through the above steps, the construction of the basic attribute geological body model can be completed.
[0068] (ii) Numerical calculation of different basic attribute parameter models of geological bodies, corresponding to part of the steps in step S5 and part of the steps in step S6.
[0069] In this embodiment, attribute information (i.e., the type of basic attribute parameters) and quality grade information are assigned to three-dimensional discrete points originating from different grade areas of different basic attribute parameters, and three-dimensional discrete points originating from the same three-dimensional geological body basic attribute parameter model are numbered in a certain order to generate a matrix containing discrete point numbers, attribute information, three-dimensional coordinates and quality grade information. The matrices corresponding to the obtained three-dimensional geological body basic attribute parameter models are numerically calculated according to calculation requirements to obtain the values of the target attribute parameters. According to the values of the target attribute parameters of all three-dimensional discrete points, the classification interval is determined, and the three-dimensional discrete points are classified into five quality grades. The specific steps are as follows.
[0070] (1) Use Python programming or Matlab software to process the discrete point coordinate files (such as "1-1.txt" and "1-2.txt") of different levels of basic attribute parameters in turn. Add a column of numbers before the three-dimensional coordinates of each three-dimensional discrete point to indicate the attribute information of the three-dimensional discrete point, and add a column of numbers after the three-dimensional coordinates of each three-dimensional discrete point to indicate the category value (i.e., quality grade information) of the three-dimensional discrete point. Process the five discrete point coordinate files of the same basic attribute parameter, and sort all the three-dimensional discrete points in the order of xyz coordinate values from small to large. Specifically, sort them in the order of x coordinate values from small to large. For the three-dimensional discrete points with the same x coordinate value, sort them in the order of y coordinate value from small to large. For the three-dimensional discrete points with the same x coordinate value and y coordinate value, sort them in the order of z coordinate value from small to large. Add a column of numbers at the front of the matrix to indicate the sorting of the three-dimensional discrete points, and then save the matrix containing the discrete point number (i.e. sorting), attribute information, three-dimensional coordinates and quality level information in txt files, such as "1.txt", "2.txt", etc. The number of txt files is the same as the number of basic attribute parameters.
[0071] (2) Based on the files "1.txt", "2.txt" and other files containing the spatial information of the basic attribute parameter models of each three-dimensional geological body, a matrix M is constructed. The discrete point numbers and three-dimensional coordinate information in the "1.txt" file are saved as the first four columns of the matrix M. The quality grade information of each discrete point in the files "1.txt", "2.txt" and other files is saved in sequence as the fifth to the second to last columns of the matrix M. The last column of the matrix M is the score value obtained after solving and calculating the fifth to the second to last columns of the matrix M according to the design requirements (such as the importance weight coefficients of different basic attribute parameters), that is, the value of the target attribute parameter.
[0072] If the target attribute parameter is set to A and the basic attribute parameter is set to B, the specific expression of the target attribute parameter is as follows.
[0073] A=c 1 B 1 +c 2 B 2 +c 3 B 3 +......+c n B n .
[0074] Among them, A is the target attribute parameter; c 1 、c2 、c 3 、c n are the importance weight coefficients of the first basic attribute parameter, the second basic attribute parameter, the third basic attribute parameter, and the nth basic attribute parameter respectively; B 1 , B 2 , B 3 , B n They are the quality levels of the first basic attribute parameter, the second basic attribute parameter, the third basic attribute parameter, and the nth basic attribute parameter respectively.
[0075] It should be noted that the target attribute parameters and basic attribute parameters can be determined according to the needs. After determining the target attribute parameters, the number and type of basic attribute parameters and the importance weight coefficient of each basic attribute parameter can be determined.
[0076] For example, the target attribute parameter is the engineering geological condition level of the geological body. At this time, n=5, and the five basic attribute parameters are the engineering geological rock group level, fracture density level, ground stress level, temperature level, and saturation level of the geological body. The importance weight coefficients of the five basic attribute parameters are 0.35, 0.25, 0.15, 0.1, and 0.15, respectively.
[0077] Of course, in this embodiment, other target attribute parameters may be selected as needed, and the corresponding basic attribute parameters will be determined accordingly. This embodiment does not impose any limitation on this.
[0078] The above steps correspond to some steps in step S5, that is, for each sampling point, the second value of the target attribute parameter at the sampling point is calculated based on the quality level of each basic attribute parameter at the sampling point, wherein the target attribute parameter is an attribute parameter obtained by combining all basic attribute parameters, and the discrete point assignment and sorting and the target attribute parameter calculation are completed.
[0079] (3) The last column of data in the matrix M, i.e., the value of the target attribute parameter, is calculated. The value of the target attribute parameter is divided into five quality levels using the natural discontinuity method (i.e., the natural breakpoint method). The boundary values between adjacent quality levels are obtained, and then the three-dimensional discrete points are divided into five categories.
[0080] The above steps correspond to part of the steps in step S6, that is, quality level classification is performed based on the second values of the target attribute parameters at all sampling points, the second boundary value between adjacent quality levels is determined, and the target attribute parameter classification is completed.
[0081] Among them, quality grade division is performed based on the second value of the target attribute parameter at all sampling points, and the second boundary value between adjacent quality grades is determined, which specifically includes: taking the second value of the target attribute parameter at all sampling points as input, using the natural breakpoint method to perform quality grade division, and determining the second boundary value between adjacent quality grades.
[0082] Among them, the number of quality levels is 5, namely good quality, better quality, medium quality, poor quality and bad quality; the number of second boundary values is 4, namely the second boundary value between good quality and better quality, the second boundary value between good quality and medium quality, the second boundary value between medium quality and poor quality, and the second boundary value between poor quality and bad quality.
[0083] Through the above steps, the acquisition of target attribute geological body model parameters is completed.
[0084] (iii) Construction of target attribute geological body parameter model, corresponding to some steps in step S6.
[0085] This embodiment sequentially extracts three-dimensional discrete points located near each classification boundary value of the target attribute parameter, and imports these three-dimensional discrete points into three-dimensional modeling software, sequentially processes the three-dimensional discrete points located near different classification boundary values, obtains the classification surface of the target attribute parameter, and superimposes the obtained classification surface with the boundary surface of the three-dimensional geological body boundary model to obtain the three-dimensional geological body target attribute parameter model. The specific steps are as follows.
[0086] (1) All three-dimensional discrete points in the matrix M are screened to obtain the three-dimensional discrete points whose absolute value of the difference between the target attribute parameter value and the four classification boundary values is within 0.1 (this value can be adjusted according to the actual situation). The three-dimensional coordinates of these screened three-dimensional discrete points are saved in four files, "M1.txt", "M2.txt", "M3.txt", and "M4.txt", respectively. These four txt files are imported into the three-dimensional modeling software in turn and saved in four documents respectively.
[0087] (2) The three-dimensional discrete points in the four documents are processed in turn, and planes or surfaces composed of three-dimensional discrete points near different classification boundary values are fitted. These planes or surfaces are the classification surfaces between different quality levels.
[0088] (3) The above classification surface is combined with the boundary surface of the three-dimensional geological body boundary model to obtain a three-dimensional geological body target attribute parameter model. Different colors can be used for partial areas of different quality levels to better distinguish them.
[0089] The above steps correspond to some steps in step S6, that is, for each second limit value, a sampling point whose absolute value of the difference between the second value and the second limit value is less than the second preset value is selected as the selected sampling point, and fitting is performed based on all the selected sampling points to obtain a second classification surface between adjacent quality levels, and the three-dimensional geological body boundary model and all second classification surfaces are combined to obtain a three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter. The three-dimensional geological body target attribute parameter model includes multiple second-level areas, and the quality level of the position points in each second-level area is the same, completing discrete point extraction, classification surface construction and boundary surface superposition.
[0090] The fitting based on all the selected sampling points specifically includes: performing surface fitting based on all the selected sampling points.
[0091] Among them, the three-dimensional geological body boundary model and all the second classification surfaces are combined to obtain the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameters, which specifically includes: combining the three-dimensional geological body boundary model and all the second classification surfaces to divide the three-dimensional geological body boundary model into multiple second-level areas using all the second classification surfaces to obtain the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameters.
[0092] After obtaining the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter, the three-dimensional geological modeling method for fusing multiple attribute parameters in this embodiment also includes: coloring each second-level area in the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter, different types of second-level areas corresponding to different colors, and obtaining a colored model, wherein the quality levels of the position points in different types of second-level areas are different.
[0093] Through the above steps, the construction of the target attribute geological body model is completed, and the target attribute geological body parameter model (that is, the three-dimensional geological body target attribute parameter model) is obtained.
[0094] This embodiment proposes a method for constructing a point (line)-surface-volume dimensional geological model that integrates multiple attribute parameters. The method discretizes the basic attribute parameter models of three-dimensional geological bodies with different basic attribute parameters into a series of three-dimensional discrete points in three-dimensional space, and couples the parameter values of each three-dimensional geological body basic attribute parameter model into a three-dimensional discrete point, so as to realize the function that a three-dimensional discrete point contains the values of multiple basic attribute parameters, solves the values of the target attribute parameters, and obtains the spatial distribution characteristics of the target attribute parameters. According to the values of the target attribute parameters, the classification boundary values of the target attribute parameters are determined, and a classification surface containing the target attribute parameter information is constructed. Based on the classification surface and the boundary surface of the three-dimensional geological body boundary model, a three-dimensional geological body target attribute parameter model is constructed to realize the three-dimensional display of the target attribute parameters. This method can be used to solve the problem that various current three-dimensional geological body models cannot be coupled and calculated, thereby more scientifically guiding the development of engineering geological zoning and other work.
[0095] The present application also provides an application scenario, which applies the above-mentioned three-dimensional geological modeling method for integrating multiple attribute parameters. Specifically, the three-dimensional geological modeling method for integrating multiple attribute parameters provided in this embodiment can be applied in a three-dimensional geological modeling scenario. The three-dimensional geological modeling scenario includes a modeling link and a display link. The modeling link is used to establish a three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter, and the display link is used to display the three-dimensional geological body target attribute parameter model to the user. The three-dimensional geological modeling method for integrating multiple attribute parameters provided in this embodiment belongs to the modeling link.
[0096] Example 2.
[0097] Based on the same inventive concept, the embodiment of the present application also provides a three-dimensional geological modeling device for implementing the three-dimensional geological modeling method for integrating multiple attribute parameters involved in the above-mentioned three-dimensional geological modeling method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the three-dimensional geological modeling device for integrating multiple attribute parameters provided below can refer to the limitations of the three-dimensional geological modeling method for integrating multiple attribute parameters above, and will not be repeated here.
[0098] In an exemplary embodiment, Figure 4 As shown, a three-dimensional geological modeling device integrating multiple attribute parameters is provided, and the three-dimensional geological modeling device integrating multiple attribute parameters includes the following modules.
[0099] The data acquisition module M1 is used to acquire the terrain data of the study area and the first value of each basic attribute parameter of the plurality of basic attribute parameters at different positions in the study area.
[0100] The boundary model building module M2 is used to build a three-dimensional geological body boundary model corresponding to the study area based on the terrain data of the study area.
[0101] The basic attribute model construction module M3 is used to divide the quality level of each basic attribute parameter based on the first value of the basic attribute parameter at different positions in the study area, determine the first boundary value between adjacent quality levels, and for each first boundary value, select a position point whose absolute value of the difference between the first value and the first boundary value is less than a first preset value as the selected position point, and fit based on all the selected position points to obtain the first classification surface between adjacent quality levels; combine the three-dimensional geological body boundary model and all the first classification surfaces to obtain the three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter; the three-dimensional geological body basic attribute parameter model includes multiple first-level areas, and the quality levels of the position points in each first-level area are the same.
[0102] The sampling module M4 is used to sample the three-dimensional geological body boundary model at preset intervals to obtain multiple sampling points.
[0103] The target attribute calculation module M5 is used to determine, for each sampling point, the quality level of each basic attribute parameter at the sampling point based on the three-dimensional coordinates of the sampling point and using the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter, and calculate the second value of the target attribute parameter at the sampling point based on the quality level of each basic attribute parameter at the sampling point; wherein the target attribute parameter is an attribute parameter obtained by combining all basic attribute parameters.
[0104] The target attribute model construction module M6 is used to divide the quality levels based on the second values of the target attribute parameters at all sampling points, determine the second boundary value between adjacent quality levels, and for each second boundary value, select the sampling point whose absolute value of the difference between the second value and the second boundary value is less than the second preset value as the selected sampling point, and fit based on all the selected sampling points to obtain the second classification surface between adjacent quality levels; combine the three-dimensional geological body boundary model and all the second classification surfaces to obtain the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter; the three-dimensional geological body target attribute parameter model includes multiple second level areas, and the quality levels of the position points in each second level area are the same.
[0105] Example 3.
[0106] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 5As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile 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 the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a three-dimensional geological modeling method integrating multiple attribute parameters is implemented.
[0107] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0108] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the three-dimensional geological modeling method for fusing multiple attribute parameters in Example 1 when executing the computer program.
[0109] Example 4.
[0110] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which, when executed by a processor, implements the three-dimensional geological modeling method for fusing multiple attribute parameters in Example 1.
[0111] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0112] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0113] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.
Claims
1. A three-dimensional geological modeling method integrating multiple attribute parameters, characterized in that: The three-dimensional geological modeling method integrating multiple attribute parameters includes: Obtaining topographic data of a study area and first values of each of a plurality of basic attribute parameters at different locations within the study area; Establish a three-dimensional geological body boundary model corresponding to the study area based on the topographic data of the study area; For each basic attribute parameter, quality grade division is performed based on the first value of the basic attribute parameter at different position points in the study area, and the first boundary value between adjacent quality grades is determined. For each first boundary value, a position point whose absolute value of the difference between the first value and the first boundary value is less than a first preset value is selected as the selected position point, and fitting is performed based on all the selected position points to obtain a first classification surface between adjacent quality grades; the three-dimensional geological body boundary model and all the first classification surfaces are combined to obtain a three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter; the three-dimensional geological body basic attribute parameter model includes multiple first-level areas, and the quality grades of the position points in each first-level area are the same; Sampling the three-dimensional geological body boundary model at preset intervals to obtain a plurality of sampling points; For each sampling point, based on the three-dimensional coordinates of the sampling point, the quality level of each basic attribute parameter at the sampling point is determined using the three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter, and the second value of the target attribute parameter at the sampling point is calculated based on the quality level of each basic attribute parameter at the sampling point; wherein the target attribute parameter is an attribute parameter obtained by combining all basic attribute parameters; Based on the second value of the target attribute parameter at all sampling points, quality grade division is performed, and the second boundary value between adjacent quality grades is determined. For each second boundary value, a sampling point whose absolute value of the difference between the second value and the second boundary value is less than a second preset value is selected as the selected sampling point, and fitting is performed based on all the selected sampling points to obtain a second classification surface between adjacent quality grades; the three-dimensional geological body boundary model and all the second classification surfaces are combined to obtain a three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter; the three-dimensional geological body target attribute parameter model includes multiple second grade areas, and the quality grades of the position points in each second grade area are the same.
2. The three-dimensional geological modeling method integrating multiple attribute parameters according to claim 1, characterized in that: Based on the terrain data of the study area, a three-dimensional geological body boundary model corresponding to the study area is established, including: Establishing a first boundary surface based on topographic data of the study area; the first boundary surface is located on the ground; Establishing a second boundary surface based on the scope of the study area; the second boundary surface is located underground; Based on the first boundary surface and the second boundary surface, a three-dimensional geological body boundary model corresponding to the study area is established.
3. The three-dimensional geological modeling method integrating multiple attribute parameters according to claim 1, characterized in that: The first values of the basic attribute parameters at different locations in the study area are used to divide the quality levels, and the first boundary values between adjacent quality levels are determined, specifically including: Taking the first values of the basic attribute parameters at different locations in the study area as input, the natural breakpoint method is used to divide the quality grades and determine the first boundary values between adjacent quality grades; The quality level is divided based on the second value of the target attribute parameter at all sampling points, and the second boundary value between adjacent quality levels is determined, specifically including: The second values of the target attribute parameters at all sampling points are taken as input, and the quality grade is divided using the natural breakpoint method to determine the second boundary value between adjacent quality grades.
4. The three-dimensional geological modeling method integrating multiple attribute parameters according to claim 1, characterized in that: The number of quality levels is 5, and the number of the first limit value and the second limit value are both 4.
5. The three-dimensional geological modeling method integrating multiple attribute parameters according to claim 1, characterized in that: The three-dimensional geological body boundary model and all the first classification surfaces are combined to obtain a three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameters, specifically including: The three-dimensional geological body boundary model and all the first classification surfaces are combined to divide the three-dimensional geological body boundary model into a plurality of first-level regions using all the first classification surfaces, so as to obtain a three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameters; Combining the three-dimensional geological body boundary model and all the second classification surfaces to obtain a three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter specifically includes: The three-dimensional geological body boundary model and all the second classification surfaces are combined to divide the three-dimensional geological body boundary model into a plurality of second-level regions using all the second classification surfaces, so as to obtain a three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter.
6. The three-dimensional geological modeling method integrating multiple attribute parameters according to claim 1, characterized in that: Based on the three-dimensional coordinates of the sampling points, the quality level of each basic attribute parameter at the sampling points is determined using a three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter, specifically including: For each three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter, the first-level area where the sampling point is located in the three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter is determined based on the three-dimensional coordinates of the sampling point, and the quality level of the first-level area where the sampling point is located is used as the quality level of the basic attribute parameter at the sampling point.
7. The three-dimensional geological modeling method integrating multiple attribute parameters according to claim 1, characterized in that: After obtaining the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter, the three-dimensional geological modeling method integrating multiple attribute parameters further includes: Each second-level region in the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter is colored, and different second-level regions correspond to different colors to obtain a colored model; wherein the quality levels of the position points in different second-level regions are different.
8. A three-dimensional geological modeling device integrating multiple attribute parameters, characterized in that: The three-dimensional geological modeling device integrating multiple attribute parameters comprises: A data acquisition module, used to acquire terrain data of a study area and a first value of each of a plurality of basic attribute parameters at different locations in the study area; A boundary model building module is used to build a three-dimensional geological body boundary model corresponding to the study area based on the terrain data of the study area; A basic attribute model construction module is used to divide the quality level of each basic attribute parameter based on the first value of the basic attribute parameter at different positions in the study area, determine the first boundary value between adjacent quality levels, and for each first boundary value, select a position point whose absolute value of the difference between the first value and the first boundary value is less than a first preset value as the selected position point, and perform fitting based on all the selected position points to obtain a first classification surface between adjacent quality levels; combine the three-dimensional geological body boundary model and all the first classification surfaces to obtain a three-dimensional geological body basic attribute parameter model corresponding to the basic attribute parameter; the three-dimensional geological body basic attribute parameter model includes multiple first-level areas, and the quality levels of the position points in each first-level area are the same; A sampling module, used for sampling the three-dimensional geological body boundary model at preset intervals to obtain multiple sampling points; A target attribute calculation module is used to determine, for each sampling point, based on the three-dimensional coordinates of the sampling point, the quality level of each basic attribute parameter at the sampling point using a three-dimensional geological body basic attribute parameter model corresponding to each basic attribute parameter, and calculate a second value of the target attribute parameter at the sampling point based on the quality level of each basic attribute parameter at the sampling point; wherein the target attribute parameter is an attribute parameter obtained by combining all basic attribute parameters; The target attribute model construction module is used to divide the quality level based on the second value of the target attribute parameter at all sampling points, determine the second boundary value between adjacent quality levels, and for each second boundary value, select the sampling point whose absolute value of the difference between the second value and the second boundary value is less than the second preset value as the selected sampling point, and fit based on all the selected sampling points to obtain the second classification surface between adjacent quality levels; combine the three-dimensional geological body boundary model and all the second classification surfaces to obtain the three-dimensional geological body target attribute parameter model corresponding to the target attribute parameter; the three-dimensional geological body target attribute parameter model includes multiple second level areas, and the quality level of the position points in each second level area is the same.
9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the three-dimensional geological modeling method for fusing multiple attribute parameters as described in any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the three-dimensional geological modeling method for fusing multiple attribute parameters described in any one of claims 1 to 7 is implemented.
Citation Information
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