Multi-source geological exploration data fusion method, device and equipment and storage medium

Abstract

The application belongs to the technical field of geological exploration, and discloses a multi-source geological exploration data fusion method, device, equipment and storage medium. The method comprises the following steps: acquiring two / three-dimensional multi-source geological exploration data; classifying and storing the two / three-dimensional multi-source geological exploration data to obtain a plurality of geological space databases corresponding to different data types; determining to-be-fused surface data and to-be-fused underground data according to the geological space databases; acquiring a configured fusion type; when the fusion type is surface data and underground data fusion, the to-be-fused underground data is constrained by the to-be-fused surface data, and interpolation processing is performed to realize fusion of the two / three-dimensional multi-source geological exploration data. Through the above method, storage management of modeling data sources is realized, the application threshold of data organization, updating and management is reduced, the interactive processing process is greatly optimized, personnel investment is reduced, and the two / three-dimensional geological data fusion utilization method further assists rapid construction of a high-precision and high-reliability geological model.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geological exploration, and in particular to a multi-source geological exploration data fusion method, device and equipment and a storage medium. BACKGROUND

[0002] Compared with traditional two-dimensional geological exploration information expression methods such as geological borehole maps and geological profile maps, three-dimensional geological models have the advantages of visualization, informatization and dynamic updating, and can intuitively show the spatial shape, attribute distribution and topological relationship of the modeling object, assisting experts in decision-making. At the same time, three-dimensional geological models are the basis for modeling work of roads, tracks, bridges and the like, and belong to the source work in forward design. In the construction and operation stages, the geological model can realize real-time monitoring of various parameters of the engineering geological body in combination with monitoring technology, realize the function of geological disaster monitoring and early warning, and maximize the prevention and reduction of economic losses caused by the destruction of engineering structures by geological disasters. After a long period of development, researchers in different fields at home and abroad have proposed many related theories and technologies from different angles, and have proposed different methods to create three-dimensional geological models to simulate complex geological structures. For example, from the perspective of storage structure, it can be summarized as a grid-based data model, a three-dimensional vector-based space model and a three-dimensional model of a vector-grid hybrid structure. From the perspective of modeling form, it can be summarized as a surface model, a voxel model and a hybrid model.

[0003] From the perspective of three-dimensional modeling data sources, two-dimensional and three-dimensional multi-source geological exploration data are the key basis for three-dimensional geological models. According to the different data types of data sources, three-dimensional geological modeling methods can be divided into methods based on boreholes, geological profiles, surface geological data and multi-source data.

[0004] At present, two-dimensional and three-dimensional multi-source geological exploration data sources are diverse, such as surveying and mapping, engineering geological remote sensing, engineering geological drilling, geophysical exploration, in-situ testing, laboratory testing and the like. The two-dimensional and three-dimensional multi-source geological exploration data obtained involve multiple industries and multiple disciplines, and have the characteristics of "multi-source, multi-scale, multi-temporal and multi-type" and the like. At the same time, each geological exploration technology method can only describe geological information from a specific angle, which seriously affects the accuracy and reliability of the three-dimensional geological model.

[0005] Therefore, in order to establish a three-dimensional geological model with high precision and high reliability, it is necessary to correct, identify and convert two-dimensional and three-dimensional multi-source geological survey data according to the selected modeling unit, and then merge the entire structure model through the process of "unit modeling-model merging". There are problems such as large amount of modeling data, complex interactive processing flow, many personnel, long modeling cycle, and difficult model updating. In addition, due to the fact that the original geological survey data and the modeling data obtained by processing rarely consider storage and fusion for reuse, the updating or local editing of the geological model generally cannot be performed, and the entire model needs to be re-modeled.

[0006] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0007] The main purpose of the present application is to provide a multi-source geological survey data fusion method, device, equipment and storage medium, which aims to solve the technical problem that different data in the prior art geological data cannot be reasonably stored and fused, resulting in the need for re-modeling for model updating and local editing.

[0008] To achieve the above purpose, the present application provides a multi-source geological survey data fusion method, which comprises the following steps:

[0009] Obtaining two-dimensional and three-dimensional multi-source geological survey data;

[0010] Classifying and storing the two-dimensional and three-dimensional multi-source geological survey data to obtain a plurality of geological space databases corresponding to different data types;

[0011] Determining the surface data to be fused and the underground data to be fused according to each geological space database;

[0012] Obtaining a configured fusion type;

[0013] When the fusion type is surface data and underground data fusion, the underground data to be fused is constrained by the surface data to be fused, and interpolation processing is performed to realize the fusion of two-dimensional and three-dimensional multi-source geological survey data.

[0014] Optionally, the classifying and storing of the two-dimensional and three-dimensional multi-source geological survey data to obtain a plurality of geological space databases corresponding to different data types comprises:

[0015] Determining non-structural geological survey data, digital elevation model, remote sensing image, regional plane geological map, digital geological interpretation plane data, drilling data and geological profile data from the two-dimensional and three-dimensional multi-source geological survey data;

[0016] The non-structural geological exploration data, the digital elevation model, the remote sensing image, the regional plane geological map, the digital geological interpretation plane data, the drilling data and the geological profile data are respectively stored by establishing independent databases to obtain a plurality of geological spatial databases corresponding to different data types.

[0017] Optionally, the non-structural geological exploration data, the digital elevation model, the remote sensing image, the regional plane geological map, the digital geological interpretation plane data, the drilling data and the geological profile data are respectively stored by establishing independent databases to obtain a plurality of geological spatial databases corresponding to different data types, comprising:

[0018] The non-structural geological exploration data is converted into additional spatial geometric elements with geological information according to a preset scale range, and an independent database is established for storage to obtain a first geological spatial database;

[0019] The digital elevation model is obtained by interpolation and encryption to obtain an elevation reference digital elevation model surface, and the elevation reference digital elevation model surface is stored in a block form according to a slice form to obtain a second geological spatial database;

[0020] The remote sensing image is processed by radiation correction, geometric correction, gray scale stretching, color synthesis, band combination and image fusion, and stored in a block form according to a band layer slice form to obtain a third geological spatial database;

[0021] The raster regional plane geological map and the vector regional plane geological map are obtained according to the regional plane geological map, and the raster regional plane geological map and the vector regional plane geological map are respectively stored in a block form to obtain a fourth geological spatial database;

[0022] The digital geological interpretation plane data is stored according to layers to obtain a fifth geological spatial database;

[0023] Stratum boundary data, hydrogeological data, comprehensive logging data and in-situ test data are obtained according to the drilling data, and the stratum boundary data, the hydrogeological data, the comprehensive logging data and the in-situ test data are respectively stored to obtain a sixth geological spatial database;

[0024] The geological profile data is stored by using a spatial index binary data type of a spatial database to obtain a seventh spatial database.

[0025] Optionally, the raster regional plane geological map and the vector regional plane geological map are obtained according to the regional plane geological map, and the raster regional plane geological map and the vector regional plane geological map are respectively stored in a block form to obtain a fourth geological spatial database, comprising:

[0026] Based on the aforementioned regional planar geological map, a raster regional planar geological map and a vector regional planar geological map are obtained;

[0027] The raster area planar geological map is sliced ​​according to the RGB layer method and stored in a raster independent database;

[0028] The vector area planar geological map is divided according to the element projection rules and stored in a vector independent database;

[0029] The fourth geological spatial database is obtained based on the raster-independent database and the vector-independent database.

[0030] Optionally, when the fusion type is surface data and subsurface data fusion, constraining the subsurface data to be fused by the surface data to be fused and performing interpolation processing includes:

[0031] When the fusion type is surface data and underground data fusion, the first constraint data and the second constraint data are determined based on the surface data to be fused.

[0032] The first constraint data is used as the primary constraint, and the second constraint data is used as the main constraint. Interpolation is then performed to achieve the fusion of the surface data and the underground data to be fused.

[0033] Optionally, after obtaining the configured fusion type, the method further includes:

[0034] When the fusion type is heterogeneous surface data fusion, the surface data to be fused is unified to the target coordinate system to obtain coordinate system data;

[0035] Based on the coordinate system data, determine the digital elevation model to be fused, the geological map of the area to be fused, the remote sensing image to be fused, and the digital geological mapping data to be fused;

[0036] The geological map of the area to be fused, the remote sensing image to be fused, and the digital geological mapping data to be fused are rendered in three dimensions and then fused on the surface of the digital elevation model.

[0037] Optionally, the step of three-dimensionalizing the geological map of the area to be fused, the remote sensing image to be fused, and the digital geological mapping data to be fused, and then fusing them on the digital elevation model surface includes:

[0038] Geological point elements and geological line elements from the digital geological mapping data are superimposed on the digital elevation model, and the remote sensing image is set as the texture of the digital elevation model surface;

[0039] The digital elevation model is cut into multiple small digital elevation model surfaces using the regional geological map;

[0040] The digital elevation model surfaces of each small piece are merged into a plurality of merged files according to corresponding rules of geological surfaces, and the colors of the digital elevation model surfaces of each merged file are adjusted to realize data fusion.

[0041] In addition, to achieve the above object, the application further provides a multi-source geological survey data fusion device, which comprises:

[0042] The data acquisition module is configured to acquire two / three-dimensional multi-source geological survey data.

[0043] The classified storage module is configured to perform classified storage according to the two / three-dimensional multi-source geological survey data, so as to obtain a plurality of geological space databases corresponding to different data types.

[0044] The data extraction module is configured to determine to-be-fused surface data and to-be-fused underground data according to each geological space database.

[0045] The type determination module is configured to acquire a configured fusion type.

[0046] The data fusion module is configured to, when the fusion type is surface data and underground data fusion, constrain the to-be-fused underground data by the to-be-fused surface data, and perform interpolation processing, so as to realize two / three-dimensional multi-source geological survey data fusion.

[0047] In addition, to achieve the above object, the application further provides a multi-source geological survey data fusion device, which comprises a memory, a processor and a multi-source geological survey data fusion program stored in the memory and executable on the processor, and the multi-source geological survey data fusion program is configured to realize the steps of the multi-source geological survey data fusion method as described above.

[0048] In addition, to achieve the above object, the application further provides a storage medium, which stores a multi-source geological survey data fusion program, and the multi-source geological survey data fusion program realizes the steps of the multi-source geological survey data fusion method as described above when executed by a processor.

[0049] This invention acquires 2D and 3D multi-source geological exploration data; classifies and stores this data to obtain multiple geological spatial databases corresponding to different data types; determines the surface data and subsurface data to be fused based on each geological spatial database; obtains the configured fusion type; and when the fusion type is surface data and subsurface data fusion, constrains the subsurface data to be fused through the surface data to be fused and performs interpolation processing to achieve the fusion of 2D and 3D multi-source geological exploration data. In this way, 2D and 3D multi-source geological exploration data is first classified and stored to obtain multiple independent geological spatial databases, and then surface data and subsurface data are fused through the configured fusion type. This achieves integrated storage of 2D and 3D multi-source geological exploration data, simplifies the interactive processing flow of large-volume modeling data, realizes the storage management of modeling data sources, simplifies the organization and updating process of modeling data, lowers the application threshold for data organization, updating and management, greatly optimizes the interactive processing flow, reduces personnel input, achieves the goal of managing and controlling the local updates of 3D geological models, and proposes a method for the fusion and utilization of 2D and 3D geological data for 3D geological modeling, which can further assist in the rapid construction of high-precision and high-reliability geological models. Attached Figure Description

[0050] Figure 1 This is a schematic diagram of the structure of the multi-source geological exploration data fusion device in the hardware operating environment of the embodiment of the present invention;

[0051] Figure 2 This is a flowchart illustrating the first embodiment of the multi-source geological exploration data fusion method of the present invention;

[0052] Figure 3 This is a storage structure for a digital elevation model, remote sensing image, and raster geological map, as described in one embodiment of the multi-source geological exploration data fusion method of the present invention.

[0053] Figure 4 This is a vector geological map storage structure according to an embodiment of the multi-source geological exploration data fusion method of the present invention;

[0054] Figure 5 This is a digital geological mapping and storage structure according to an embodiment of the multi-source geological exploration data fusion method of the present invention;

[0055] Figure 6 This is a geophysical inversion profile storage structure according to an embodiment of the multi-source geological exploration data fusion method of the present invention;

[0056] Figure 7 This is a geological borehole storage structure according to an embodiment of the multi-source geological exploration data fusion method of the present invention;

[0057] Figure 8The geological profile storage structure of an embodiment of the multi-source geological exploration data fusion method of the present application;

[0058] Figure 9 The flowchart of the second embodiment of the multi-source geological exploration data fusion method of the present application;

[0059] Figure 10 The complete implementation flowchart of the scheme of an embodiment of the multi-source geological exploration data fusion method of the present application;

[0060] Figure 11 The structural block diagram of the first embodiment of the multi-source geological exploration data fusion device of the present application.

[0061] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0062] It should be understood that the specific embodiments described herein are intended to explain the present application and are not intended to limit the present application.

[0063] Reference Figure 1 , Figure 1 The multi-source geological exploration data fusion device structure schematic diagram related to the hardware running environment of the embodiment scheme of the present application.

[0064] As Figure 1 shown, the multi-source geological exploration data fusion device can include: a processor 1001, for example, a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize the connection and communication between the components. The user interface 1003 can include a display screen, an input unit such as a keyboard, and can also include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a wireless fidelity (Wi-Fi) interface). The memory 1005 can be a high-speed random access memory (RAM) memory, or a stable non-volatile memory (NVM) such as a disk memory. The memory 1005 can also be a storage device independent of the aforementioned processor 1001.

[0065] Those skilled in the art can understand, Figure 1The structure shown in the figure does not constitute a limitation on the multi-source geological exploration data fusion device, and can include more or fewer components than the figure, or combine certain components, or different component arrangements.

[0066] As shown in Figure 1 The memory 1005 as a storage medium can include an operating system, a network communication module, a user interface module, and a multi-source geological exploration data fusion program.

[0067] In the multi-source geological exploration data fusion device shown in Figure 1 In the multi-source geological exploration data fusion device shown in The processor 1001 and the memory 1005 in the multi-source geological exploration data fusion device can be arranged in the multi-source geological exploration data fusion device, and the multi-source geological exploration data fusion device calls the multi-source geological exploration data fusion program stored in the memory 1005 through the processor 1001, and executes the multi-source geological exploration data fusion method provided in the embodiment of the application.

[0068] The embodiment of the application provides a multi-source geological exploration data fusion method, which refers to Figure 2 , Figure 2 The flowchart of a first embodiment of the multi-source geological exploration data fusion method of the application is shown in the figure.

[0069] In this embodiment, the multi-source geological exploration data fusion method includes the following steps:

[0070] Step S10: Obtain two-dimensional and three-dimensional multi-source geological exploration data.

[0071] It should be noted that the execution subject of the embodiment is an intelligent terminal with information processing capability, which can be a computer or a server, or other devices that can realize this function, and the embodiment does not limit this.

[0072] It should be understood that the current management of two-dimensional and three-dimensional multi-source geological exploration data has the problems of large modeling data volume, complex interactive processing flow, large number of personnel investment, long modeling cycle, and difficult model updating, while the scheme of the embodiment realizes the classification storage of two-dimensional and three-dimensional multi-source geological exploration data first, obtains multiple independent geological spatial databases, and then fuses surface data and underground data through the configured fusion type, realizes the integrated storage of two-dimensional and three-dimensional multi-source geological exploration data, simplifies the interactive processing flow of large data modeling data, realizes the storage management of modeling data sources, simplifies the organization and updating process of modeling data, reduces the application threshold of data organization, updating and management, greatly optimizes the interactive processing flow, reduces the personnel investment, realizes the purpose of managing and controlling the local updating of three-dimensional geological model, and proposes a two-dimensional and three-dimensional geological data fusion utilization method for three-dimensional geological modeling, which can further assist the rapid construction of high-precision and high-reliability geological model.

[0073] In a specific implementation, the two-dimensional and three-dimensional multi-source geological exploration data includes a digital elevation model, remote sensing images, regional plane geological maps, digital geological surveying and mapping plane data, drilling data, and profile data.

[0074] It should be noted that the two-dimensional and three-dimensional multi-source geological exploration data involved in this step is semi-finished data or finished data obtained by geological professionals through collection or measurement and professional processing, and does not include raw data and process data. For example, differential correction of multi-source topographic data, production and topology error detection of regional plane geological maps, inspection and arrangement of geological drilling data from engineering geological drilling, in-situ testing, logging, and inspection and arrangement of profile data from different sources.

[0075] Step S20: Classify and store the two-dimensional and three-dimensional multi-source geological exploration data to obtain multiple geological spatial databases corresponding to different data types.

[0076] It should be noted that the classification storage means that the two-dimensional and three-dimensional multi-source geological exploration data is divided and classified according to the scale range, and the multi-source exploration data in a scale range should only have one spatial geometric element form, and the scale range span should not be too large.

[0077] It should be understood that after classification storage, the two-dimensional and three-dimensional multi-source geological exploration data is stored in different independent databases according to the different data types.

[0078] In a specific implementation, in order to alleviate the data storage pressure, while meeting the flexible and convenient calling of various two-dimensional and three-dimensional multi-source geological exploration data in data fusion and three-dimensional modeling work, a distributed data structure is adopted, independent databases are established to store various two-dimensional and three-dimensional multi-source geological exploration data, and the independent databases are managed and called through the form of cloud services such as restful or grpc.

[0079] Further, in order to classify and store the two-dimensional and three-dimensional multi-source geological exploration data, step S20 includes: determining unstructured geological exploration data, digital elevation model, remote sensing image, regional plane geological map, digital geological interpretation plane data, drilling data and geological profile data according to the two-dimensional and three-dimensional multi-source geological exploration data; and respectively establishing independent databases to store the unstructured geological exploration data, the digital elevation model, the remote sensing image, the regional plane geological map, the digital geological interpretation plane data, the drilling data and the geological profile data, to obtain a plurality of geological space databases corresponding to different data types.

[0080] In a specific implementation, as shown in Figure 3 The storage structure of the digital elevation model, the remote sensing image and the raster geological map is shown in Figure 4 The storage structure of the vector geological map is shown in Figure 5 The storage structure of the digital geological interpretation is shown in Figure 6 The storage structure of the geophysical inversion profile is shown in Figure 7 The storage structure of the geological drilling is shown in Figure 8 The storage structure of the geological profile is shown in. The two-dimensional and three-dimensional multi-source geological exploration data for three-dimensional geological modeling, including digital elevation model, remote sensing image, regional plane geological map, digital geological interpretation plane data, drilling data, profile data, are respectively established to store independent databases, and are uniformly managed by using a distributed database structure, so that the two-dimensional and three-dimensional multi-source geological exploration data can be integrated and stored.

[0081] It should be noted that the data in this step can be classified according to the range of 1:10,000~1:50,000, 1:2,000~1:10,000 and 1:500~1:2,000, to ensure that multi-source exploration data in a scale interval only has one spatial geometric element form, such as landslide elements being only point elements in the 1:10,000~1:50,000 scale interval and being only surface elements in the 1:2,000~1:10,000 scale interval.

[0082] In this way, the multi-source heterogeneous data characteristics of the two-dimensional and three-dimensional multi-source geological exploration data are reduced, the processing method and storage structure of the two-dimensional and three-dimensional multi-source exploration data are clarified, the interactive processing flow of large amount of modeling data is simplified, and the storage management of the modeling data source is realized.

[0083] Further, in order to store the different types of data for different processing methods, the non-structural geological survey data, the digital elevation model, the remote sensing image, the regional plane geological map, the digital geological interpretation plane data, the drilling data and the geological profile data are respectively stored in independent databases to obtain a plurality of geological space databases corresponding to different data types. The step of obtaining the plurality of geological space databases corresponding to different data types includes: converting the non-structural geological survey data into additional spatial geometric elements with geological information according to a preset scale range, and storing the non-structural geological survey data in an independent database to obtain a first geological space database; obtaining an elevation reference digital elevation model surface by interpolating and encrypting the digital elevation model, and storing the elevation reference digital elevation model surface in a block form according to slicing to obtain a second geological space database; processing the remote sensing image through radiation correction, geometric correction, gray stretch, color synthesis, band combination and image fusion, and storing the remote sensing image in a block form according to band layer slicing to obtain a third geological space database; obtaining a raster regional plane geological map and a vector regional plane geological map according to the regional plane geological map, and storing the raster regional plane geological map and the vector regional plane geological map in a block form respectively to obtain a fourth geological space database; storing the digital geological interpretation plane data according to layers to obtain a fifth geological space database; obtaining stratum boundary data, hydrogeological data, comprehensive logging data and in-situ test data according to the drilling data, and storing the stratum boundary data, the hydrogeological data, the comprehensive logging data and the in-situ test data respectively to obtain a sixth geological space database; and storing the geological profile data in a spatial index binary data type of a spatial database to obtain a seventh spatial database.

[0084] It should be noted that for the non-structural geological survey data such as photos, videos and reports, the knowledge of a geological professional is needed to convert the data into a certain spatial geometric element form of a current scale, and the geological information contained in the photos, videos and reports is added as attributes to the spatial geometric elements. The photos, videos and reports need to be interpreted by a geological professional to obtain geological information, and the obtained geological information is added as attributes to the spatial geometric elements. For example, the photos and videos in the geological interpretation process can be added as attributes to the geological interpretation points to obtain the first geological space database.

[0085] It should be understood that for the digital elevation model, by interpolation, encryption, etc. Method, including digital topographic map, three-dimensional point cloud data, different precision digital elevation model fusion connection into a new triangulated irregular network, and using Kriging interpolation or inverse distance interpolation method, construct the elevation datum digital elevation model surface of the three-dimensional geological model. The digital elevation model is stored in the spatial database in the form of slices, and the metadata information, coordinate projection information, boundary range information and slice number of the digital elevation model are recorded. Information contained in slice record information, so as to obtain the second geological spatial database. Specifically, according to the scale interval requirement, the digital elevation model meeting the requirement is used preferentially; in addition, the digital elevation model can be obtained by fusing digital topographic map, three-dimensional point cloud data and digital elevation model of different precision in GIS software.

[0086] In a specific implementation, for remote sensing image, remote sensing image is processed by radiation correction, geometric correction, gray stretch, color synthesis, band combination, image fusion, etc. The remote sensing image is stored in the spatial database in the form of "band layer-slice", and the metadata information, coordinate projection information, boundary range information and slice number of the remote sensing image are recorded. Information contained in slice record information, so as to obtain the third geological spatial database. Specifically, according to the scale interval requirement, the remote sensing image meeting the requirement is used. Commonly used remote sensing images include TM, Landsat, ASTER, ALOS, WorldView images, etc. The remote sensing image is preprocessed by using Erdas and Envi software, and the geometric correction function of the software is selected to correct the remote sensing image to the correct spatial position.

[0087] It should be noted that for regional plane geological map, different data types are processed respectively. For raster regional plane geological map, the same processing method as remote sensing image is used, and the geometric correction function of the software is selected in GIS software to correct the raster regional plane geological map to the correct spatial position. For vector regional plane geological map, GIS software is used, and "point projection to surface" is used to project the point feature layer in Z axis direction onto the digital elevation model of corresponding scale. The boundary line of the node after encryption line and the edge of the surface feature layer is projected in Z axis direction onto the digital elevation model of corresponding scale by using "line projection to surface", so as to obtain the fourth geological spatial database.

[0088] It should be understood that the digital geological mapping planar data includes the digitalized vector geological mapping planar data obtained by mutual verification of engineering remote sensing geological planar interpretation data, field geological mapping points, boundaries between geological mapping points, field geological mapping routes, etc. The digital geological mapping planar data is divided into different layers according to the "element-point / line / surface layer". The point element layer is projected onto the digital elevation model of the corresponding scale in the Z-axis direction by using "point projection to surface"; the boundary line of the line element layer after the nodes in the encryption line and the surface element layer is projected onto the digital elevation model of the corresponding scale in the Z-axis direction by using "line projection to surface". In addition, the three-dimensional digital geological mapping data collected directly through field geological mapping can use the original recorded spatial Z-axis information, and does not need to be projected. Finally, the digital geological mapping data is stored in the spatial database according to the layer table, the geometric spatial form and the coordinate projection information are stored by using the spatial index binary data type of the spatial database, and the geological attribute information is connected with the corresponding digital geological mapping data geological element by using the structured two-dimensional table, to obtain the fifth geological spatial database. Specifically, the point element layer is projected onto the digital elevation model of the corresponding scale in the Z-axis direction by using "point projection to surface" by using the GIS software; the boundary line of the line element layer after the nodes in the encryption line and the surface element layer is projected onto the digital elevation model of the corresponding scale in the Z-axis direction by using "line projection to surface". In addition, the three-dimensional digital geological mapping data collected directly through field geological mapping can use the original recorded spatial Z-axis information, and does not need to be projected.

[0089] In a specific implementation, compared with other survey data, the drilling data is three-dimensional spatial data, can most intuitively, accurately and in detail reflect the three-dimensional geological information, is an important source of comprehensive survey data, and mainly includes stratum boundary data, hydrogeological data, comprehensive logging data, in-situ test data and the like. The specific processing process of the drilling data is as follows:

[0090] The basic information of the drilling, especially the three-dimensional spatial coordinate information of the drilling depth and the drilling hole, is extracted, mapped, cleaned and converted, so as to determine the spatial position and depth of the drilling. The geometric spatial position and coordinate projection information of the drilling are stored by using the spatial index binary data type of the spatial database, and the depth, hole diameter, inclination azimuth angle, inclination zenith angle and other related information are connected with the corresponding drilling by using the structured two-dimensional table.

[0091] The drilling stratum boundary data is mainly obtained through engineering geological drilling, is the contact surface between the upper and lower adjacent strata, and the current stratum can be uniquely determined through the stratum top surface elevation and stratum bottom elevation. The stratum top and bottom plate depth, stratum name, stratum occurrence, stratum age and other stratum lithology related information of the drilling stratum are connected with the corresponding drilling by using the two-dimensional table.

[0092] The borehole hydrogeological data are mainly obtained through borehole hydrogeological tests, and the hydrogeological tests are usually shared with the engineering geological drilling, so the test result data such as pumping test, pumping test, pressure test, water injection test, permeability coefficient, unit water inflow and unit water absorption are connected with the corresponding borehole in the form of two-dimensional table. For pumping test, pumping test, pressure test, water injection test and the like, in the form of "test record result-time", the data types such as json or blob are used for storage.

[0093] The comprehensive logging data include various geophysical exploration tests such as geostress test, gas test and rock mass wave velocity test, and the comprehensive logging test is usually shared with the engineering geological drilling, so the top and bottom plate depth of the interpreted stratum, the interpreted stratum and other information are connected with the corresponding borehole in the form of two-dimensional table. In addition, for the geostress test, gas test and rock mass wave velocity test, in the form of "test record result-time / depth", the data types such as json or blob are used for storage.

[0094] The in-situ test data mainly include interpreted stratum and interpreted stratum lithology and physical property parameter combination, and since the in-situ test is also in the form of borehole to obtain deep underground stratum layering information, the in-situ test basic information adopts the same storage structure as the borehole basic information. In addition, the top and bottom plate depth of the interpreted stratum, the interpreted stratum and other information are connected with the corresponding in-situ test hole in the form of two-dimensional table, and the interpreted stratum lithology and physical property parameter combination is stored in the form of "test record result-depth" by using the data types such as json or blob, to obtain the sixth geological space database.

[0095] In this step, the processing of the geological borehole mainly processes the geological borehole data according to the engineering geological drilling, borehole test, comprehensive logging and in-situ test. The data such as basic information, test result and test record are stored in the form of json, blob or two-dimensional table by using database SQL programming.

[0096] It should be understood that the geological profile is the vertical representation of the regional geological structure on the section line, and the regional topography, stratum ordering and geological structure are exhibited by using broken line or curve. The geological profile data integrates topography data and stratum data, and is artificially interpreted by geological experts, and compared with the borehole data, can better reflect the stratified structure and topological relationship between the geological bodies. The geological profile data mainly include geological map profile, geophysical profile, measured profile, borehole layering profile and map cutting profile.

[0097] In specific implementation, the processing process of the geological profile data is as follows:

[0098] The geological elements in the geological profile diagram, such as lithological surface, geological boundary, and structural boundary, are divided according to the "element-point / line / surface layer". The X and Y coordinates of the geological elements on the diagram are stored by using the spatial index binary data type of the spatial database, and the geological attribute information is connected to the corresponding profile diagram geological elements by using the structured two-dimensional table.

[0099] The surface trajectory line corresponding to the geological profile is projected onto the digital elevation model of the corresponding scale in the Z-axis direction by using the "line projection to surface", and the geometric spatial form and coordinate projection information of the converted surface trajectory line are stored by using the spatial index binary data type of the spatial database.

[0100] The geological profile diagram conversion control points are set, the X and Y coordinates of the "on-diagram-actual" paired control points on the geological profile diagram and the actual three-dimensional spatial coordinates are respectively stored by using the spatial index binary data type of the spatial database, and are connected to the corresponding geological profile.

[0101] For the geophysical inversion profile, the X and Y coordinates of the inversion interpolation points are converted into actual three-dimensional spatial coordinates by using the "on-diagram-actual" paired control points, and the three-dimensional geophysical inversion profile is constructed by using the Kriging interpolation or inverse distance interpolation method. The three-dimensional geophysical inversion profile is stored in the spatial database in the form of slices, and the metadata information, coordinate projection information, boundary range information, and slice number of the geophysical inversion profile are recorded.

[0102] It should be noted that the geological profile data is divided into three parts. Here, the geological profile data is only for the vector geological profile diagram in CAD or GIS related format, and the geological profile data includes geological elements, surface trajectory lines, and conversion control points. First, referring to the processing method of the vector regional planar geological map, the geological elements in the geological profile are processed. Different from the processing method of the vector regional planar geological map, the geological profile does not need to be corrected and projected to the actual spatial position, and only the X and Y coordinates of the geological elements on the diagram are stored. Secondly, for the surface trajectory lines and conversion control points, the database SQL programming is used to store the geometric spatial form and coordinate projection information of the surface trajectory lines in the actual space, and the coordinate pairs of the "on-diagram-actual" paired control points. Finally, for the geophysical inversion profile, the inversion interpolation points are converted into actual three-dimensional spatial coordinates by using the conversion control points, and the inversion interpolation points are converted into three-dimensional geophysical inversion profiles in Surfer software.

[0103] In this way, the processing method for different data types and how to store them into independent databases are realized.

[0104] Further, in order to store the regional planar geological map, the raster regional planar geological map and the vector regional planar geological map are obtained according to the regional planar geological map, and the raster regional planar geological map and the vector regional planar geological map are respectively stored in blocks to obtain the fourth geological space database, and the step comprises: obtaining the raster regional planar geological map and the vector regional planar geological map according to the regional planar geological map; slicing the raster regional planar geological map according to the RGB layer mode and storing the raster regional planar geological map in a raster independent database; dividing the vector regional planar geological map according to the element projection rule and storing the vector regional planar geological map in a vector independent database; and obtaining the fourth geological space database according to the raster independent database and the vector independent database.

[0105] It should be noted that the raster regional planar geological map used for referring to the map is processed by means of geometric correction, spatial projection conversion, etc., and the raster regional planar geological map is stored in blocks in the form of "RGB layer-slice" in the spatial database, and the metadata information, coordinate projection information, boundary range information, and the number of RGB layers, the number of slices, and the detailed recorded information of the "RGB layer-slice" are recorded, so as to obtain the raster independent database.

[0106] It should be understood that the stratum lithology surface, geological boundary, tectonic boundary, occurrence point and other geological elements in the vector regional planar geological map are divided according to "element-point / line / surface layer". The point element layer is projected onto the digital elevation model of the corresponding scale in the Z-axis direction by using "point projection to surface"; the boundary line of the line element layer and the surface element layer after the nodes in the encrypted line is projected onto the digital elevation model of the corresponding scale in the Z-axis direction by using "line projection to surface", and the purpose of encrypting the nodes is to make the boundary line of the line layer and the surface layer projected onto the digital elevation model completely coincide. Finally, the geological elements of the vector regional geological map after the projection transformation are stored in the spatial database in the form of "element-point / line / surface layer", the geometric spatial form and the coordinate projection information are stored by using the spatial index binary data type of the spatial database, and the geological attribute information is connected with the corresponding regional vector geological map geological elements by using the structured two-dimensional table, so as to obtain the vector independent database.

[0107] In the specific implementation, after the raster independent database and the vector independent database are obtained, the raster independent database and the vector independent database are merged into the fourth geological space database.

[0108] In this way, the raster regional planar geological map and the vector regional planar geological map are respectively processed and stored.

[0109] Step S30: determining the to-be-fused ground surface data and the to-be-fused underground data according to the geological space databases.

[0110] It should be noted that after obtaining a plurality of geological space databases, the data needing to be fused is determined, and then the data at different positions of the surface and the underground is classified into surface data to be fused and underground data to be fused according to the surface and the underground.

[0111] Step S40: Obtain the configured fusion type.

[0112] It should be understood that the fusion type is a pre-configuration or a user self-setting manner, and specifically can be fusion of different structure types of heterogeneous surface data, and fusion of surface data and underground data.

[0113] Step S50: When the fusion type is fusion of surface data and underground data, the underground data to be fused is constrained by the surface data to be fused, and interpolation processing is performed to realize fusion of two-dimensional and three-dimensional multi-source geological exploration data.

[0114] In a specific implementation, the surface and underground data to be fused are called in a service form, and projection conversion functions are used in GIS software to project the surface data and the underground data into the same projection coordinate system. The Bayesian probability analysis method is used to code to process geological drilling and geological profile respectively.

[0115] Further, in order to fuse the surface data and the underground data, step S50 includes: when the fusion type is fusion of surface data and underground data, determining first constraint data and second constraint data according to the surface data to be fused; taking the first constraint data as a primary constraint and the second constraint data as a main constraint, and performing interpolation processing to realize fusion of the surface data to be fused and the underground data to be fused.

[0116] It should be noted that the first constraint data is digital geological plotting data, regional geological map, remote sensing image and digital elevation model, and the second constraint data is geological drilling and geological profile, so as to perform fusion.

[0117] It should be understood that the specific steps of fusion are as follows:

[0118] 1. Read out the multi-source geological exploration data to be fused from the spatial database, and unify the surface data and the underground data to the same projection coordinate system.

[0119] 2. For the drilling stratum data obtained by engineering geological drilling, in-situ testing and geophysical exploration interpretation, the Bayesian probability analysis method is used to determine the stratum boundary, the structure boundary, the specific boundary depth of the stratum top and bottom plate elevation and the main attribute information of the stratum.

[0120] 3. For geological profiles of various sources, the Bayesian probability analysis method is used to determine the stratigraphic boundary, tectonic boundary, specific boundary depth of the top and bottom plate elevation, and main attribute information of the stratum.

[0121] 4. Generate a segmented geological interface according to the occurrence of surface data, or generate a small section of the geological boundary according to the occurrence; connect the geological boundary inferred from the surface occurrence with the geological drilling data to encrypt the nodes in the geological boundary. Set the nodes in the shallow surface geological boundary and the nodes at the stratigraphic boundary points of the geological drilling stratum as control nodes, modify the low-reliability geological boundary according to the high-reliability geological boundary, and perform DSI processing (discrete smooth interpolation dsi theory) on the connecting line.

[0122] 5. All geological profiles are distributed in the actual three-dimensional space, and the shallow part is based on geological map profiles, field measured profiles, etc., and the deep part is based on geophysical profiles, drilling layer connection profiles, and map cutting profiles. The drilling stratum data is used as the constraint for the extension of the geological interface. The interpretation results with high reliability are used as the basis, and the interpretation marks are established to interpret the extended part. In the interpretation process, the updated geological drilling and geological profile data are continuously integrated to modify the interpretation marks, and the remaining extended part is iteratively interpreted to realize the fusion and utilization of two- and three-dimensional multi-source geological exploration data.

[0123] In this way, the surface data and underground data are fused, and the digital geological mapping data, regional geological map, remote sensing image, and digital elevation model are used as the primary constraint, the geological drilling and geological profile are used as the main constraint, and the data is interpolated by human-computer interaction. The interpolated data is consistent with the surface data and underground data, and also conforms to the actual geological conditions.

[0124] The embodiment obtains two / three-dimensional multi-source geological exploration data, classifies and stores the two / three-dimensional multi-source geological exploration data to obtain a plurality of geological space databases corresponding to different data types, determines to-be-fused surface data and to-be-fused underground data according to the geological space databases, obtains a configured fusion type, when the fusion type is surface data and underground data fusion, restricts the to-be-fused underground data by the to-be-fused surface data and performs interpolation processing to realize two / three-dimensional multi-source geological exploration data fusion. In this way, the two / three-dimensional multi-source geological exploration data is first classified and stored to obtain a plurality of independent geological space databases, and then the to-be-fused surface data and the to-be-fused underground data are fused through the configured fusion type, realizing two / three-dimensional multi-source geological exploration data integrated storage, simplifying the interactive processing flow of large data modeling data, realizing modeling data source storage management, simplifying modeling data organization and updating flow, reducing the application threshold of data organization, updating and management, greatly optimizing the interactive processing flow, reducing personnel investment, realizing the purpose of managing and controlling three-dimensional geological model local update, and proposing a two / three-dimensional geological data fusion method for three-dimensional geological modeling, which can further assist fast construction of high-precision and high-reliability geological models.

[0125] Reference Figure 9 , Figure 9 FIG. 2 is a flowchart of a second embodiment of a multi-source geological exploration data fusion method according to the present application.

[0126] Based on the above first embodiment, the multi-source geological exploration data fusion method of the present embodiment further comprises the following steps after step S40.

[0127] Step S401: When the fusion type is heterogeneous surface data fusion, the to-be-fused surface data is unified to a target coordinate system to obtain coordinate system data.

[0128] It should be noted that different surface data fusion first reads the to-be-fused multi-source geological exploration data from the spatial database and unifies the multi-source geological exploration data to the same projection coordinate system to obtain coordinate system data integrated into the coordinate system.

[0129] Step S402: Determine to-be-fused digital elevation models, to-be-fused regional geological maps, to-be-fused remote sensing images, and to-be-fused digital geological mapping data according to the coordinate system data.

[0130] It should be understood that after obtaining the coordinate system data, the to-be-fused digital elevation models, to-be-fused regional geological maps, to-be-fused remote sensing images, and to-be-fused digital geological mapping data are extracted.

[0131] Step S403: three-dimensionally integrate the to-be-fused regional geological map, the to-be-fused remote sensing image and the to-be-fused digital geological annotation data, and fuse them on the digital elevation model surface.

[0132] In a specific implementation, the fusion of the surface data is established on the digital elevation model, after different surface data is called out in the form of a service, the projection conversion function in the GIS software is used to project the surface data into the same projection coordinate system. In the GIS software such as ArcGIS, Skyline and Cesium, the geological point elements and the geological line elements are superimposed on the digital elevation model, and the remote sensing image or the raster geological map is set as the texture of the digital elevation model surface.

[0133] Further, in order to fuse the heterogeneous surface data, step S403 includes: superimposing the geological point elements and the geological line elements in the digital geological annotation data on the digital elevation model, and setting the remote sensing image as the texture of the digital elevation model surface; cutting the digital elevation model into a plurality of small block digital elevation model surfaces through the regional geological map; merging each small block digital elevation model surface into a plurality of merged files according to the corresponding rule of the geological surface, and adjusting the color of the digital elevation model surface of each merged file to realize data fusion.

[0134] It should be noted that, first, the geological point elements and the geological line elements are superimposed on the digital elevation model, and the remote sensing image or the raster geological map is set as the texture of the digital elevation model surface, and the geological point elements and the geological line elements come from the digital geological annotation data.

[0135] It should be understood that, the digital elevation model is cut into a plurality of small block digital elevation model surfaces according to the geological boundary, the structural boundary and the digital geological annotation line and point boundary in the regional geological map, and the cutting boundary of each small block digital elevation model surface is optimized.

[0136] In a specific implementation, the small block digital elevation model surfaces corresponding to the same geological surface are merged into one file, and the color of each digital elevation model surface is modified to be consistent with the color of the corresponding regional geological surface, so as to complete data fusion.

[0137] It should be noted that, the complete implementation process of the scheme combined with the first embodiment is as shown in Figure 10 It should be understood that, the fusion process of the surface data and the underground data can be performed after the fusion of the heterogeneous surface data, or can be performed synchronously, and the present embodiment does not limit this.

[0138] In this way, the fusion of the heterogeneous surface data is realized.

[0139] The embodiment unifies the to-be-fused surface data to a target coordinate system to obtain coordinate system data when the fusion type is heterogeneous surface data fusion, determines a to-be-fused digital elevation model, a to-be-fused regional geological map, a to-be-fused remote sensing image and to-be-fused digital geological mapping data according to the coordinate system data, and fuses the to-be-fused regional geological map, the to-be-fused remote sensing image and the to-be-fused digital geological mapping data in three dimensions on the digital elevation model surface. In this way, the fusion of the structure and content of multi-source and heterogeneous surface data is realized, so that the fusion and use of heterogeneous data and local editing and adjustment can be facilitated.

[0140] In addition, the embodiment of the present application also provides a storage medium, wherein the storage medium stores a multi-source geological survey data fusion program, and the multi-source geological survey data fusion program realizes the steps of the multi-source geological survey data fusion method when executed by a processor.

[0141] Since the storage medium adopts all the technical solutions of the above-mentioned embodiments, it at least has all the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be repeated here.

[0142] Reference Figure 11 , Figure 11 is a structural block diagram of the first embodiment of the multi-source geological survey data fusion device of the present application.

[0143] As Figure 11 shown, the multi-source geological survey data fusion device provided by the embodiment of the present application comprises:

[0144] The data acquisition module 10 is configured to acquire two / three-dimensional multi-source geological survey data.

[0145] The classified storage module 20 is configured to perform classified storage according to the two / three-dimensional multi-source geological survey data to obtain a plurality of geological space databases corresponding to different data types.

[0146] The data extraction module 30 is configured to determine to-be-fused surface data and to-be-fused underground data according to each geological space database.

[0147] The type determination module 40 is configured to acquire a configured fusion type.

[0148] The data fusion module 50 is configured to, when the fusion type is surface data and underground data fusion, constrain the to-be-fused underground data by the to-be-fused surface data and perform interpolation processing to realize the fusion of two / three-dimensional multi-source geological survey data.

[0149] The embodiment obtains two-dimensional and three-dimensional multi-source geological survey data, classifies and stores the two-dimensional and three-dimensional multi-source geological survey data to obtain a plurality of geological space databases corresponding to different data types, determines to-be-fused surface data and to-be-fused underground data according to the geological space databases, obtains a configured fusion type, when the fusion type is surface data and underground data fusion, restricts the to-be-fused underground data by the to-be-fused surface data and performs interpolation processing to realize fusion of the two-dimensional and three-dimensional multi-source geological survey data. In this way, the two-dimensional and three-dimensional multi-source geological survey data are first classified and stored to obtain a plurality of independent geological space databases, then the to-be-fused surface data and underground data are fused through the configured fusion type, integrated storage of the two-dimensional and three-dimensional multi-source geological survey data is realized, the interactive processing flow of large data modeling data is simplified, storage management of the modeling data source is realized, organization and update flow of the modeling data are simplified, application threshold of data organization, update and management is reduced, the interactive processing flow is greatly optimized, personnel investment is reduced, the purpose of management control of local update of the three-dimensional geological model is realized, and a two-dimensional and three-dimensional geological data fusion utilization method for three-dimensional geological modeling is proposed, which can further assist rapid construction of a high-precision and high-reliability geological model.

[0150] In an embodiment, the classification and storage module 20 is further configured to determine non-structural geological survey data, a digital elevation model, remote sensing images, regional plane geological maps, digital geological mapping plane data, drilling data and geological profile data according to the two-dimensional and three-dimensional multi-source geological survey data, and establish independent databases for storing the non-structural geological survey data, the digital elevation model, the remote sensing images, the regional plane geological maps, the digital geological mapping plane data, the drilling data and the geological profile data to obtain a plurality of geological space databases corresponding to different data types.

[0151] In an embodiment, the categorizing and storing module 20 is further configured to convert the non-structural geological survey data into additional spatial geometric elements with geological information according to a preset scale range, and establish an independent database for storage to obtain a first geological spatial database; convert the digital elevation model into an elevation reference digital elevation model surface through interpolation and encryption, and store the elevation reference digital elevation model surface in a sliced form to obtain a second geological spatial database; process the remote sensing image through radiation correction, geometric correction, gray scale stretching, color synthesis, band combination and image fusion, and store the remote sensing image in a sliced form according to a band layer to obtain a third geological spatial database; obtain a raster regional plane geological map and a vector regional plane geological map according to the regional plane geological map, and store the raster regional plane geological map and the vector regional plane geological map in a sliced form respectively to obtain a fourth geological spatial database; store the digital geological mapping plane data according to layers to obtain a fifth geological spatial database; obtain stratum boundary data, hydrogeological data, comprehensive logging data and in-situ test data according to the drilling data, and store the stratum boundary data, the hydrogeological data, the comprehensive logging data and the in-situ test data respectively to obtain a sixth geological spatial database; and store the geological profile data in a spatial index binary data type of a spatial database to obtain a seventh spatial database.

[0152] In an embodiment, the categorizing and storing module 20 is further configured to obtain a raster regional plane geological map and a vector regional plane geological map according to the regional plane geological map; slice the raster regional plane geological map according to an RGB layer mode, and store the raster regional plane geological map in a raster independent database; divide the vector regional plane geological map according to an element projection rule, and store the vector regional plane geological map in a vector independent database; and obtain a fourth geological spatial database according to the raster independent database and the vector independent database.

[0153] In an embodiment, the data fusion module 50 is further configured to, when the fusion type is surface data and underground data fusion, determine first constraint data and second constraint data according to the to-be-fused surface data; take the first constraint data as a primary constraint, take the second constraint data as a main constraint, and perform interpolation processing to realize fusion of the to-be-fused surface data and the to-be-fused underground data.

[0154] In an embodiment, the type determining module 40 is further configured to, when the fusion type is heterogeneous surface data fusion, unify the to-be-fused surface data to a target coordinate system to obtain coordinate system data; determine a to-be-fused digital elevation model, a to-be-fused regional geological map, a to-be-fused remote sensing image, and to-be-fused digital geological plotting data according to the coordinate system data; and three-dimensionally visualize the to-be-fused regional geological map, the to-be-fused remote sensing image, and the to-be-fused digital geological plotting data and fuse them on the digital elevation model surface.

[0155] In an embodiment, the type determining module 40 is further configured to superimpose geological point elements and geological line elements in the digital geological plotting data on the digital elevation model and set the remote sensing image as a texture of the digital elevation model surface; cut the digital elevation model into a plurality of small block digital elevation model surfaces through the regional geological map; merge each small block digital elevation model surface into a plurality of merged files according to a geological surface corresponding rule and adjust the color of the digital elevation model surface of each merged file to realize data fusion.

[0156] It should be understood that the above is only illustrative, and does not constitute any limitation on the technical solutions of the present application. In specific applications, those skilled in the art can set up according to the needs, and the present application does not limit this.

[0157] It should be noted that the above-described workflow is only illustrative and does not limit the scope of protection of the present application. In actual applications, those skilled in the art can select part or all of them to achieve the purpose of the embodiment according to actual needs, which is not limited here.

[0158] In addition, technical details not described in detail in the present embodiment can be referred to the multi-source geological survey data fusion method provided by any embodiment of the present application, which will not be described here.

[0159] In addition, it should be noted that in this document, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or system. Without more limitations, the element defined by the statement "includes a" does not exclude the presence of another identical element in the process, method, article or system that includes the element.

[0160] The above embodiment numbers of the present application are only for description, not representing the advantages and disadvantages of the embodiments.

[0161] Those skilled in the art can clearly understand the above-mentioned example method can be realized by means of software and the necessary general hardware platform, of course, also can be through hardware, but in many cases the former is a better implementation. Based on such understanding, the technical solutions of the present application essentially or say the part of the prior art contribution can be embodied in the form of software products, the computer software product is stored in a storage medium (such as read only memory (Read Only Memory, ROM) / RAM, disk, optical disk), including a number of instructions to make a terminal device (may be a mobile phone, computer, server, or network equipment, etc.) executes the method described in various embodiments of the present application.

[0162] The above is only the preferred embodiment of the present application, not therefore limit the patent scope of the present application, any equivalent structure or equivalent process transformation using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for fusing multi-source geological exploration data, characterized in that, The multi-source geological exploration data fusion method includes: Acquire 2D and 3D multi-source geological exploration data; Based on the aforementioned two-dimensional and three-dimensional multi-source geological exploration data, non-structural geological exploration data, digital elevation models, remote sensing images, regional planar geological maps, digital geological mapping planar data, borehole data, and geological profile data are determined. The unstructured geological survey data is converted into additional spatial geometric elements with geological information according to a preset scale range, and stored in an independent database to obtain the first geological spatial database. The digital elevation model is interpolated and encrypted to obtain the elevation datum digital elevation model surface, and the elevation datum digital elevation model surface is stored in blocks according to the slice form to obtain the second geological spatial database; The remote sensing images are processed through radiometric correction, geometric correction, grayscale stretching, color synthesis, band combination and image fusion, and stored in blocks according to the band layer slices to obtain the third geological spatial database. Based on the regional planar geological map, a raster regional planar geological map and a vector regional planar geological map are obtained, and the raster regional planar geological map and the vector regional planar geological map are stored in blocks to obtain a fourth geological spatial database. The digital geological mapping planar data is stored according to layers to obtain the fifth geological spatial database; Based on the borehole data, stratigraphic boundary data, hydrogeological data, integrated well logging data, and in-situ test data are obtained, and the stratigraphic boundary data, hydrogeological data, integrated well logging data, and in-situ test data are stored respectively to obtain the sixth geological spatial database; The geological profile data is stored using the spatial index binary data type of a spatial database, resulting in the seventh spatial database; Based on local geological spatial databases, determine the surface data and underground data to be integrated; Retrieve the configured fusion type; When the fusion type is surface data and subsurface data fusion, the subsurface data to be fused is constrained by the surface data to be fused and interpolation processing is performed to achieve the fusion of two-dimensional and three-dimensional multi-source geological exploration data.

2. The method as described in claim 1, characterized in that, The process involves obtaining a raster regional planar geological map and a vector regional planar geological map based on the regional planar geological map, and storing the raster regional planar geological map and the vector regional planar geological map in blocks to obtain a fourth geological spatial database, including: Based on the aforementioned regional planar geological map, a raster regional planar geological map and a vector regional planar geological map are obtained; The raster area planar geological map is sliced ​​according to the RGB layer method and stored in a raster independent database; The vector area planar geological map is divided according to the element projection rules and stored in a vector independent database; The fourth geological spatial database is obtained based on the raster-independent database and the vector-independent database.

3. The method as described in claim 1, characterized in that, When the fusion type is surface data and subsurface data fusion, the subsurface data to be fused is constrained by the surface data to be fused, and interpolation processing is performed, including: When the fusion type is surface data and underground data fusion, the first constraint data and the second constraint data are determined based on the surface data to be fused. The first constraint data is used as the primary constraint, and the second constraint data is used as the main constraint. Interpolation is performed to achieve the fusion of the surface data and the underground data to be fused. The first constraint data consists of digital geological mapping data, regional geological maps, remote sensing images and digital elevation models, and the second constraint data consists of geological boreholes and geological profiles.

4. The method as described in claim 1, characterized in that, After obtaining the configured fusion type, the process also includes: When the fusion type is heterogeneous surface data fusion, the surface data to be fused is unified to the target coordinate system to obtain coordinate system data; Based on the coordinate system data, determine the digital elevation model to be fused, the geological map of the area to be fused, the remote sensing image to be fused, and the digital geological mapping data to be fused; The geological map of the area to be fused, the remote sensing image to be fused, and the digital geological mapping data to be fused are rendered in three dimensions and then fused on the surface of the digital elevation model.

5. The method as described in claim 4, characterized in that, The process involves creating a three-dimensional representation of the geological map of the area to be fused, the remote sensing image to be fused, and the digital geological mapping data to be fused, and then fusing them on the surface of the digital elevation model, including: Geological point elements and geological line elements from the digital geological mapping data are superimposed on the digital elevation model, and the remote sensing image is set as the texture of the digital elevation model surface; The digital elevation model is cut into multiple small digital elevation model surfaces using the regional geological map; The various small digital elevation model surfaces are merged into multiple merged files according to the geological surface correspondence rules, and the colors of the digital elevation model surfaces in each merged file are adjusted to achieve data fusion.

6. A multi-source geological exploration data fusion device, characterized in that, The multi-source geological exploration data fusion device includes: The data acquisition module is used to acquire two-dimensional and three-dimensional multi-source geological exploration data; The classification and storage module is used to determine unstructured geological exploration data, digital elevation models, remote sensing images, regional planar geological maps, digital geological mapping planar data, borehole data, and geological profile data based on the two-dimensional and three-dimensional multi-source geological exploration data; convert the unstructured geological exploration data into additional spatial geometric elements with geological information according to a preset scale range, and establish an independent database for storage, resulting in a first geological spatial database; obtain a digital elevation model surface for elevation datum through interpolation and encryption of the digital elevation model, and store the elevation datum digital elevation model surface in blocks according to a slice format, resulting in a second geological spatial database; process the remote sensing images through radiometric correction, geometric correction, grayscale stretching, color synthesis, band combination, and image fusion operations, and slice them according to the shape of the band layer. The data is stored in blocks to obtain a third geological spatial database; based on the regional planar geological map, a raster regional planar geological map and a vector regional planar geological map are obtained, and the raster regional planar geological map and the vector regional planar geological map are stored in blocks to obtain a fourth geological spatial database; the digital geological mapping planar data are stored according to layers to obtain a fifth geological spatial database; based on the borehole data, stratigraphic boundary data, hydrogeological data, integrated well logging data, and in-situ test data are obtained, and the stratigraphic boundary data, the hydrogeological data, the integrated well logging data, and the in-situ test data are stored respectively to obtain a sixth geological spatial database; the geological profile data is stored using the spatial index binary data type of the spatial database to obtain a seventh spatial database; The data extraction module is used to determine the surface data and underground data to be integrated based on local geological spatial databases; The type determination module is used to obtain the configured fusion type; The data fusion module is used to constrain the underground data to be fused by the surface data to be fused and to perform interpolation processing when the fusion type is surface data and underground data fusion, so as to realize the fusion of two-dimensional and three-dimensional multi-source geological exploration data.

7. A multi-source geological exploration data fusion device, characterized in that, The device includes: a memory, a processor, and a multi-source geological exploration data fusion program stored in the memory and executable on the processor, the multi-source geological exploration data fusion program being configured to implement the multi-source geological exploration data fusion method as described in any one of claims 1 to 5.

8. A storage medium, characterized in that, The storage medium stores a multi-source geological exploration data fusion program, which, when executed by a processor, implements the multi-source geological exploration data fusion method as described in any one of claims 1 to 5.

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