A field outcrop scene digital twin model construction method and system

Abstract

The application provides a field outcrop scene digital twin model construction method and system, and the method comprises the following steps: constructing a target oblique photography model; determining rock-related data based on the target oblique photography model, and constructing an outcrop data model according to the rock-related data; acquiring a knowledge structure graph and interactive demonstration requirement information, and constructing a geological knowledge structure model based on the knowledge structure graph, the interactive demonstration requirement information and the outcrop data model; and constructing a field outcrop scene digital twin model based on the target oblique photography model, the outcrop data model and the geological knowledge structure model. The field outcrop scene digital twin model is constructed through the target oblique photography model, the outcrop data model and the geological knowledge structure model, and the visualization and digitization of various types of geological data of the field outcrop can be displayed and interacted.

Description

Technical Field

[0001] The present invention relates to the field of digital twin technology, and in particular to a method and system for constructing a digital twin model of a field outcrop scene. Background Art

[0002] During field geological observations, outcrops can be used to understand the rock properties of rock masses; the occurrence of strata can be measured to understand the state of crustal tectonic movement; the characteristics of various solid and fluid mineral deposits can be identified to help find and explore various mineral deposits; and biological fossils can be found in outcrops to determine the geological age of strata. Therefore, the study of field geological outcrops is the basis and important research object for geologists.

[0003] Existing technologies present the following challenges: 1. Traditional field geological outcrop surveys rely primarily on manual photography and scale measurement. However, due to the actual conditions of field outcrop sections, the digitization and visualization of field outcrops have always been challenging. The interaction between the physical outcrops and humans is relatively poor, resulting in fragmented and dispersed geological data, and slow progress in geological data mining. 2. While geologists can use technologies such as drones, ground-penetrating radar, 360° panoramic cameras, and 3D laser scanning to create three-dimensional, realistic outcrop models, these models can only display the surface features of the physical outcrop and are insufficient in representing the various geological elements within it. Currently, no research has been conducted on visualization and digitization systems for displaying and interacting with various geological data from field outcrops.

[0004] Therefore, there is an urgent need to propose a method and system for constructing a digital twin model of a field outcrop scene, which can be used to achieve the visualization and digital display and interactive technical effects of various geological data of the field outcrop. Summary of the Invention

[0005] In view of this, it is necessary to provide a method and system for constructing a digital twin model of a field outcrop scene to solve the problem that various geological data of field outcrops cannot be visualized, digitally displayed and interacted.

[0006] In one aspect, the present invention provides a method for constructing a digital twin model of a field outcrop scene, comprising:

[0007] Construct target oblique photography model;

[0008] Determining rock-related data based on the target oblique photography model, and constructing an outcrop data model based on the rock-related data;

[0009] Acquiring a knowledge structure map and interactive demonstration requirement information, and constructing a geological knowledge structure model based on the knowledge structure map, the interactive demonstration requirement information, and the outcrop data model;

[0010] A digital twin model of a field outcrop scene is constructed based on the target oblique photography model, the outcrop data model and the geological knowledge structure model.

[0011] In some possible implementations, the rock-related data includes: global rock-related parameters, local rock-related parameters, outcrop-underground comparison-related data, and rock-related literature numbers; and determining the rock-related data based on the target oblique photography model includes:

[0012] Determining overall rock-related parameters based on the target oblique photography model;

[0013] Determining an inspection point according to the target oblique photography model;

[0014] Determining the local rock-related parameters based on the inspection points and a preset analysis method;

[0015] Obtain rock-related documents, and determine the outcrop underground comparison-related data and the number of the rock-related documents based on the rock-related documents.

[0016] In some possible implementations, the survey points include: equidistant survey points and special survey points; and determining the survey points according to the target oblique photography model includes:

[0017] Determine a stratum according to the target oblique photography model and a preset distance, and determine the equidistant survey points according to the stratum;

[0018] Special geology is determined according to the target oblique photography model, and the special investigation point is determined based on the special geology.

[0019] In some possible implementations, constructing an outcrop data model based on the rock-related data includes:

[0020] Acquire the association relationship between the rock-related data, and determine rock-related data according to the association relationship between the rock-related data and the rock-related data;

[0021] The outcrop data model is constructed based on the rock-related data and the rock-associated data.

[0022] In some possible implementations, the rock-related data includes: text data, line data, and image data; and determining the rock-related data based on the rock-related data and the association relationship between the rock-related data includes:

[0023] The rock-related data is converted into the text data, the line data, and the image data.

[0024] In some possible implementations, the knowledge structure spectrum includes: an overview of the outcrop area, a smart survey route, and references; the interactive demonstration requirement information includes: lines, text, pictures, coordinate displays, direction markings, and measuring tool rulers.

[0025] In some possible implementations, constructing a geological knowledge structure model based on the knowledge structure map, the interactive demonstration requirement information, and the outcrop data model includes:

[0026] Determine an event graph based on the knowledge structure graph and the interactive demonstration requirement information;

[0027] A connection is established between the event graph and the outcrop data model, and the geological knowledge structure model is constructed based on the connection between the event graph and the outcrop data model and the event graph.

[0028] In some possible implementations, constructing the outcrop digital twin model based on the target oblique photography model, the geological knowledge structure model, and the outcrop data model includes:

[0029] Obtaining terrain base plate data, and constructing an oblique photography scene model based on the target oblique photography model and the terrain base plate data;

[0030] According to the association between the event graph and the outcrop data model, the outcrop data model is called from the geological knowledge structure model, and a field outcrop scene digital twin model is constructed according to the oblique photography scene model.

[0031] In some possible implementations, constructing a target oblique photography model includes:

[0032] Plan the scope of target field outcropping entities and obtain target image data;

[0033] Based on the target image data, a target white body model is constructed, and texture is mapped to the target white body model to obtain a target oblique photography texture model;

[0034] The target oblique photography texture model is optimized to obtain the target oblique photography model.

[0035] On the other hand, the present invention also provides a system for constructing a digital twin model of a field outcrop scene, comprising:

[0036] A target oblique photography model construction module is used to construct a target oblique photography model;

[0037] An outcrop data model building module is used to determine rock-related data based on a target oblique photography model, and to build an outcrop data model based on the rock-related data;

[0038] A geological knowledge structure model construction module is used to obtain a knowledge structure map and interactive demonstration requirement information, and to construct a geological knowledge structure model based on the knowledge structure map, the interactive demonstration requirement information, and the outcrop data model;

[0039] A digital twin model construction module is used to construct a digital twin model of a field outcrop scene based on the target oblique photography model, the outcrop data model and the geological knowledge structure model.

[0040] The beneficial effects of adopting the above embodiment are as follows: the method for constructing a digital twin model of a field outcrop scene provided by the present invention constructs a target oblique photography model, an outcrop data model, and a geological knowledge structure model; the geological knowledge structure model calls the outcrop data model, and maps the geological knowledge structure model to the target oblique photography model; the three models are coupled and evolved to construct a digital twin model of a field outcrop scene. No manual photography and scale measurement are required for investigation; only the target oblique photography model needs to be constructed, thereby realizing the visualization of the field geological outcrop scene; relevant data is obtained from all aspects of the target oblique photography model, outcrop entities, and related literature, and the outcrop data model is constructed to realize the digitization of the field outcrop scene; further, the knowledge structure model is constructed through the knowledge structure map and interactive demonstration demand information, thereby realizing the interaction of various types of geological knowledge data of the field outcrop. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] FIG1 is a flow chart of an embodiment of a method for constructing a digital twin model of a field outcrop scene provided by the present invention;

[0042] Figure 2 For the present invention Figure 1 A flow chart of an embodiment of step S102;

[0043] Figure 3 For the present invention Figure 2 A flow chart of an embodiment of step S202;

[0044] Figure 4 For the present invention Figure 1 A flow chart of another embodiment of step S102;

[0045] Figure 5 For the present invention Figure 1 A flow chart of an embodiment of step S103;

[0046] Figure 6 A schematic diagram of the structure of an embodiment of the knowledge structure map provided by the present invention;

[0047] Figure 7 For the present invention Figure 1 A schematic flow chart of an embodiment of step S104;

[0048] Figure 8 For the present invention Figure 1 A schematic flow chart of an embodiment of step S101;

[0049] Figure 9 A structural schematic diagram of an embodiment of the field outcrop scene digital twin model construction system provided by the present invention. DETAILED DESCRIPTION

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0051] It should be understood that the schematic drawings are not drawn to scale. The flowcharts used in the present invention illustrate operations implemented according to some embodiments of the present invention. It should be understood that the operations in the flowcharts may be implemented out of sequence, and steps that do not have a logical contextual relationship may be reversed or performed simultaneously. In addition, those skilled in the art, guided by the present disclosure, may add one or more additional operations to the flowcharts or remove one or more operations from the flowcharts.

[0052] Figure 1 A flow chart of an embodiment of the method for constructing a digital twin model of a field outcrop scene provided by the present invention is shown as follows: Figure 1 As shown in the figure, the method for constructing a digital twin model of a field outcrop scene includes:

[0053] S101, constructing a target oblique photography model;

[0054] S102, determining rock-related data based on the target oblique photography model, and constructing an outcrop data model based on the rock-related data;

[0055] S103, obtaining a knowledge structure map and interactive demonstration demand information, and constructing a geological knowledge structure model based on the knowledge structure map, interactive demonstration demand information, and outcrop data model;

[0056] S104. Construct a digital twin model of the field outcrop scene based on the target oblique photography model, outcrop data model and geological knowledge structure model.

[0057] It should be noted that the target oblique photography model is obtained by using oblique photography technology to obtain image data of the outcrop entity of interest, and a three-dimensional model is constructed through the image data to compare with the outcrop entity.

[0058] Compared with the existing technology, the method for constructing a digital twin model of a field outcrop scene provided by the present invention constructs a target oblique photography model, an outcrop data model, and a geological knowledge structure model. The geological knowledge structure model calls the outcrop data model, maps the geological knowledge structure model to the target oblique photography model, and the three models are coupled and evolved to construct a digital twin model of the field outcrop scene. No manual photography and scale measurement are required for investigation. Only the target oblique photography model needs to be constructed, thereby realizing the visualization of the field geological outcrop scene; relevant data is obtained from all aspects of the target oblique photography model, outcrop entities, and related literature, and the outcrop data model is constructed to realize the digitization of the field outcrop scene; further, the knowledge structure model is constructed through the knowledge structure map and interactive demonstration demand information, thereby realizing the interaction of various types of geological knowledge data of the field outcrop.

[0059] In a specific embodiment of the present invention, the rock-related data include: overall rock-related parameters, local rock-related parameters, outcrop-underground comparison-related data, and rock-related document numbers.

[0060] In some embodiments of the present invention, Figure 2 As shown, the step of determining rock-related data based on the target oblique photography model in step S102 includes:

[0061] S201, determining the overall relevant parameters of the rock according to the target oblique photography model;

[0062] S202, determining an inspection point according to the target oblique photography model;

[0063] S203, determining local rock-related parameters based on the inspection points and the preset analysis method;

[0064] S204: Obtain rock-related literature, and determine outcrop underground comparison-related data and the numbers of the rock-related literature based on the rock-related literature.

[0065] The embodiments of the present invention investigate field outcrops from the perspective of the outcrop as a whole, a part of the outcrop, and related literature, not only obtaining surface features of the outcrop, but also various geological elements inherent in the outcrop. The geological data obtained from the field outcrop is systematized and the correlation is enhanced, providing new insights into outcrop geological data mining.

[0066] In a specific embodiment, the overall rock parameters include: reservoir configuration parameters, stratigraphic distribution, structural parameters, geographic coordinate information and exposed strata; reservoir configuration parameters include: thickness, length, type, morphology, facies, cyclicity, width / thickness ratio, sand / ground ratio, superposition style, and interlayers; stratigraphic distribution parameters include: group one, group two, group three, section one, section two, and section three; structural parameters include: strike, dip, inclination, contact relationship, bedding structure, bedding structure, intra-layer structure, folds, joints, cleavage, lineation, and faults.

[0067] Core sampling is carried out at the survey points using a drilling rig, and the samples are analyzed and tested to obtain local rock parameters. Local rock parameters include: rock lithology parameters, lithofacies characteristic parameters and reservoir characteristic parameters. Rock lithology parameters include: rock type, color, thickness, and particle structure. Lithofacies characteristic parameters include: lithofacies type, sedimentary structure, sedimentation, and vertical sequence. Reservoir characteristic parameters include: porosity, permeability, water saturation, capillary pressure, Poisson's ratio, shear modulus, bulk modulus, Young's modulus, and density.

[0068] Relevant literature was used to obtain seismic profile data similar to those in the underground and outcrop areas, well logging data, oil test analysis data, structural evolution characteristics data and relevant literature numbers.

[0069] In a specific embodiment of the present invention, the inspection points include: equidistant inspection points and special inspection points.

[0070] In some embodiments of the present invention, Figure 3 As shown, step S202 includes:

[0071] S301, determining a stratum based on a target oblique photography model and a preset distance, and determining equidistant survey points based on the stratum;

[0072] S302: Determine special geology according to the target oblique photography model, and determine special survey points based on the special geology.

[0073] The embodiment of the present invention obtains relevant data through two reference points. The outcrop is inspected by equidistant inspection, and there is no need to inspect every position on the model. This can not only comprehensively obtain relevant data but also reduce the workload. The outcrop is inspected through special inspection points to avoid the impact of special geological conditions on the data.

[0074] In a specific embodiment, multiple virtual wells are arranged at equal distances on the target oblique photography model, strata are determined based on the virtual wells, and reference points are determined on each stratum. Special geology can include special structures and special sedimentary phenomena.

[0075] In some embodiments of the present invention, Figure 4 As shown, the step of constructing the outcrop data model based on rock-related data in step S102 includes:

[0076] S401, obtaining correlation relationships between rock-related data, and determining rock-related data based on the correlation relationships between the rock-related data and the rock-related data;

[0077] S402: Construct an outcrop data model based on rock-related data and rock-associated data.

[0078] The embodiment of the present invention integrates and aggregates multi-source data of field outcrop scenes, and mines, analyzes, and stores the data. The collected real-life models of field outcrops will be permanently stored as digital data, providing data streams of various types of field outcrops for the outcrop parameter twins of the digital twin model.

[0079] In a specific embodiment, the rock-related data includes text data, line data, and image data.

[0080] In some embodiments of the present invention, rock-related data is converted into text data, line data, and image data.

[0081] The embodiment of the present invention mines the association relationship between rock-related data and displays the rock-related data in textual, graphical and linear forms, so that users can more vividly and easily understand the meaning and relationship of each data.

[0082] In a specific embodiment, rock-related data, rock-associated data, and rock-related literature can be divided according to data type. Numerical data includes: outcrop description (outcrop number, outcrop coordinates), sampling point (number, coordinates), physical properties (porosity, permeability, water saturation, capillary pressure, Poisson's ratio, shear modulus, bulk modulus, Young's modulus, density), fault characteristics (dip, dip, azimuth, fault throw);

[0083] Text data includes: knowledge guide (geological overview, stratigraphic division, sedimentary characteristics, reservoir architecture, model 3D outcrop and uncertainty analysis, flow simulation and oil test analysis), outcrop guide (regional geological background, structural evolution and geological characteristics, distribution situation), reference number and content description;

[0084] Line data include: formation boundaries, reservoir sand body configuration (geometry, orientation and overlay style), virtual tour routes, and horizontal well trajectory guidance;

[0085] Image data include: reservoir structure pattern (overlay, isolated) images, well logging curve images and seismic profile images;

[0086] The three-dimensional point cloud data volume includes: point cloud data volume.

[0087] In some embodiments of the present invention, Figure 5 As shown, step S103 includes:

[0088] S501. Determine an event graph based on the knowledge structure graph and interactive demonstration requirement information;

[0089] S502: Establish a connection between the event graph and the outcrop data model, and construct a geological knowledge structure model based on the connection between the event graph and the outcrop data model and the event graph.

[0090] In the embodiment of the present invention, a geological knowledge model is constructed to display rock-related data according to a knowledge structure map, thereby reflecting the relationship between the data. The geological knowledge structure model is used to provide users with information interaction services for outcrop parameter twins of intelligent field outcrop scenes.

[0091] In one specific embodiment, events are created based on the knowledge structure graph and interactive demonstration requirements. Multiple events form an event graph, and instructions are sent through the event graph to respond to each event. Based on the connection between the event graph and the outcrop data model, the outcrop data model is then called. For example, to display geographic location data, select the outcrop area overview event, then the geographic location event. At this point, the event graph sends instructions to call the geographic location data in the outcrop data model, thereby displaying the geographic location data.

[0092] In a specific embodiment, Figure 6 As shown, the knowledge structure spectrum includes: outcrop area overview, smart survey route and references; outcrop area overview includes: geographical location, exposed strata, structural evolution and stratigraphic age; smart survey route includes sedimentary characteristics, reservoir characteristics, reservoir architecture, structural characteristics and exploration and development;

[0093] The information required for interactive demonstration includes: lines, text, pictures, coordinate display, direction marking, and measuring tool ruler.

[0094] In the embodiment of the present invention, the attributes of each type of data are classified, and an all-round, multi-angle, and full-element systematic three-dimensional intelligent investigation is carried out in combination with the outcrop area overview, the intelligent investigation route, and references. The interactive demonstration demand information realizes various interactive functions through event charts.

[0095] In one specific embodiment, the data in the outcrop data model is categorized according to each module in the knowledge structure map. For example, the number of rock-related literature can be classified in the reference module, while the geographic location and exposed strata can be classified in the outcrop area overview module. A connection function is constructed between each module and the data corresponding to the outcrop data model, so that the geographic knowledge structure model can access the required data.

[0096] It should also be noted that the interactive demonstration requirement information refers to the ability to draw lines, add pictures, add text, display coordinates, display directions, and use measuring tools to measure distances.

[0097] In some embodiments of the present invention, Figure 7 As shown, step S104 includes:

[0098] S701, obtaining terrain base plate data, and constructing an oblique photography scene model based on the target oblique photography model and the terrain base plate data;

[0099] S702: Based on the association between the event graph and the outcrop data model, the outcrop data model is called from the geological knowledge structure model, and a field outcrop scene digital twin model is constructed based on the oblique photography scene model.

[0100] In an embodiment of the present invention, the digital twin model of the field outcrop scene is formed by the mutual coupling and evolution of the outcrop data model, the geological knowledge structure model and the target oblique photography model, and the mapping reconstruction and data information interaction between the virtual space intelligent field outcrop scene and the physical space field outcrop scene are realized through the digital twin. Through the digital twin model, all qualitative and quantitative geological knowledge of the field rock outcrop physical model can interact with people in real time, which is of great significance to geological research and the popularization of earth knowledge.

[0101] In a specific embodiment, the OSGB (Open Scene Gragh Binary) file in the target oblique photography model is imported into a virtual reality rendering engine and fused with the terrain base plate data (DEM, DOM). The built-in physical engine is used to construct a visual rendering model to obtain the oblique photography scene model. The geological knowledge structure calls the data in the outcrop data model through the connection between the event graph and the outcrop data model. In the virtual simulation engine, the geological knowledge structure model is fed back to the oblique photography scene model for formal and graphical expression.

[0102] In some embodiments of the present invention, Figure 8 As shown, step S101 includes:

[0103] S801, planning the scope of the target field outcrop entity and acquiring target image data;

[0104] S802: constructing a target three-dimensional white-body model based on the target image data, and performing texture mapping on the target three-dimensional white-body model to obtain a target oblique photography texture model;

[0105] S803: Obtain a target oblique photography model by optimizing the target oblique photography texture model.

[0106] The embodiments of the present invention use oblique photography to more realistically reflect the actual conditions of entities, overcoming the shortcomings of orthophotos and enabling various image-based measurements. By constructing a targeted oblique photography model to visualize field outcrops, the outcrops are moved from outdoors to indoors, preventing them from being susceptible to weathering and erosion, which can lead to ever-changing outcrop conditions and poor interaction between field outcrop information and academic experts.

[0107] In a specific embodiment, the scope of the field outcrop entity required for the field outcrop scene is planned, the route is planned, the image data is acquired using drone oblique photography technology, and the Context Capture 3D modeling tool is combined to establish a target oblique photography texture model. The target oblique photography texture model is then rendered and repaired using 3DS Max and DP-Modeler modeling software to establish a target oblique photography model in the virtual space intelligent field outcrop scene.

[0108] In order to better implement the method for constructing a digital twin model of a field outcrop scene in the embodiment of the present invention, based on the method for constructing a digital twin model of a field outcrop scene, the embodiment of the present invention also provides a field outcrop scene digital twin model construction system 900, such as Figure 9 As shown in the figure, the digital twin model construction system for field outcrop scenes includes:

[0109] The target oblique photography model construction module 901 is used to construct the target oblique photography model;

[0110] An outcrop data model building module 902 is used to determine rock-related data based on the target oblique photography model and build an outcrop data model based on the rock-related data;

[0111] A geological knowledge structure model building module 903 is used to obtain a knowledge structure map and interactive demonstration requirement information, and build a geological knowledge structure model based on the knowledge structure map, interactive demonstration requirement information and outcrop data model;

[0112] The digital twin model construction module 904 is used to construct a digital twin model of the field outcrop scene based on the target oblique photography model, the outcrop data model and the geological knowledge structure model.

[0113] The field outcrop scene digital twin model construction system 900 provided in the above embodiment can implement the technical solution described in the above embodiment of the field outcrop scene digital twin model construction method. The specific implementation principles of the above modules can refer to the corresponding contents in the above embodiment of the field outcrop scene digital twin model construction method, which will not be repeated here.

[0114] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with this technical field within the technical scope disclosed by the present invention should be covered by the scope of protection of the present invention.

Claims

1. A method for constructing a digital twin model of a field outcrop scene, characterized in that: include: Construct target oblique photography model; Determining rock-related data based on the target oblique photography model, and constructing an outcrop data model based on the rock-related data; Acquiring a knowledge structure map and interactive demonstration demand information, and constructing a geological knowledge structure model based on the knowledge structure map, the interactive demonstration demand information, and the outcrop data model, including: determining an event graph according to the knowledge structure map and the interactive demonstration demand information; establishing a relationship between the event graph and the outcrop data model, and constructing the geological knowledge structure model based on the relationship between the event graph and the outcrop data model and the event graph; A digital twin model of a field outcrop scene is constructed based on the target oblique photography model, the outcrop data model and the geological knowledge structure model, including: obtaining terrain base plate data, and constructing an oblique photography scene model based on the target oblique photography model and the terrain base plate data; calling the outcrop data model from the geological knowledge structure model according to the connection between the event graph and the outcrop data model, and constructing a digital twin model of the field outcrop scene according to the oblique photography scene model.

2. The method for constructing a digital twin model of a field outcrop scene according to claim 1, characterized in that: The rock-related data includes: overall rock-related parameters, local rock-related parameters, outcrop underground comparison-related data, and rock-related literature numbers; the rock-related data determined based on the target oblique photography model includes: Determining overall rock-related parameters based on the target oblique photography model; Determining an inspection point according to the target oblique photography model; Determining the local rock-related parameters based on the inspection points and a preset analysis method; Obtain rock-related documents, and determine the outcrop underground comparison-related data and the number of the rock-related documents based on the rock-related documents.

3. The method for constructing a digital twin model of a field outcrop scene according to claim 2, characterized in that: The inspection points include: equidistant inspection points and special inspection points; and determining the inspection points according to the target oblique photography model includes: Determine a stratum according to the target oblique photography model and a preset distance, and determine the equidistant survey points according to the stratum; Special geology is determined according to the target oblique photography model, and the special investigation point is determined based on the special geology.

4. The method for constructing a digital twin model of a field outcrop scene according to claim 2, characterized in that: The step of constructing an outcrop data model based on the rock-related data includes: Acquire the association relationship between the rock-related data, and determine rock-related data according to the association relationship between the rock-related data and the rock-related data; The outcrop data model is constructed based on the rock-related data and the rock-associated data.

5. The method for constructing a digital twin model of a field outcrop scene according to claim 4, characterized in that: The rock-related data includes: text data, line data and image data; after determining the rock-related data according to the rock-related data and the association relationship between the rock-related data, the method includes: The rock-related data is converted into the text data, the line data, and the image data.

6. The method for constructing a digital twin model of a field outcrop scene according to claim 1, characterized in that: The knowledge structure spectrum includes: an overview of the outcrop area, a smart survey route and references; the interactive demonstration requirement information includes: lines, text, pictures, coordinate display, direction markings, and measuring tool rulers.

7. The method for constructing a digital twin model of a field outcrop scene according to claim 1, characterized in that: The step of constructing the target oblique photography model includes: Plan the scope of target field outcropping entities and obtain target image data; Based on the target image data, a target white body model is constructed, and texture is mapped to the target white body model to obtain a target oblique photography texture model; The target oblique photography texture model is optimized to obtain the target oblique photography model.

8. A digital twin model construction system for field outcropping scenes, characterized by: include: A target oblique photography model construction module is used to construct a target oblique photography model; An outcrop data model building module is used to determine rock-related data based on a target oblique photography model, and to build an outcrop data model based on the rock-related data; A geological knowledge structure model construction module is used to obtain a knowledge structure map and interactive demonstration demand information, and construct a geological knowledge structure model based on the knowledge structure map, the interactive demonstration demand information, and the outcrop data model, including: determining an event graph based on the knowledge structure map and the interactive demonstration demand information; establishing a relationship between the event graph and the outcrop data model, and constructing the geological knowledge structure model based on the relationship between the event graph and the outcrop data model and the event graph; A digital twin model construction module is used to construct a digital twin model of a field outcrop scene based on the target oblique photography model, the outcrop data model and the geological knowledge structure model, including: obtaining terrain base plate data, and constructing an oblique photography scene model based on the target oblique photography model and the terrain base plate data; calling the outcrop data model from the geological knowledge structure model according to the connection between the event graph and the outcrop data model, and constructing a digital twin model of the field outcrop scene based on the oblique photography scene model.

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