Method and system for extracting data in geological mineral exploration

Abstract

The invention discloses a geological mineral exploration data extraction method and system, and relates to the technical field of geological mineral exploration data extraction, and the method comprises the steps: carrying out the data collection of a target region through a multi-source data collection method, obtaining satellite remote sensing data, unmanned aerial vehicle aerial survey data and ground geophysical prospecting data, and obtaining an original data set; preprocessing the collected data by adopting a preliminary data processing method, removing noise and correcting errors to obtain a high-quality data set; integrating data from different sources in the high-quality data set by adopting a weighted fusion algorithm to generate a comprehensive database and obtain a comprehensive data set; performing high-resolution geophysical exploration on the fused comprehensive data set by adopting a geophysical exploration technology to obtain underground structure information; analyzing the exploration data by adopting a geophysical inversion technology, and identifying the position of a potential ore body to obtain an ore body distribution map; the method is based on the comprehensive data set, underground structure information and the ore body distribution diagram.

Description

Technical Field

[0001] The present invention relates to the technical field of geological and mineral exploration for data extraction, and particularly to a method and system for geological and mineral exploration for data extraction. Background Art

[0002] Geological and mineral exploration for data extraction refers to various information about the geological characteristics of the target area collected through various technologies and means during the geological and mineral exploration process. The data may include, but is not limited to, topography, stratigraphic structure, rock type, mineral composition, and their distribution.

[0003] In the field of geological and mineral exploration for data extraction, traditional geological and mineral exploration often relies on a single data source, which leads to one-sidedness and limitations in the understanding of the target area. Data from different sources have noise interference, scale differences, and errors, affecting the accuracy of subsequent analysis. Moreover, existing geophysical exploration technologies cannot provide detailed enough underground structure information, restricting the accurate identification of the location and shape of potential ore bodies. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method for geological and mineral exploration for data extraction to solve the problem that traditional geological and mineral exploration often relies on a single data source, which leads to one-sidedness and limitations in the understanding of the target area, and data from different sources have noise interference, scale differences, and errors, affecting the accuracy of subsequent analysis.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for geological and mineral exploration for data extraction, which includes: Using a multi-source data collection method to collect data for the target area, obtaining satellite remote sensing data, unmanned aerial vehicle (UAV) aerial survey data, and ground geophysical exploration data, and obtaining an original data set; Using a preliminary data processing method to preprocess the collected data, removing noise and correcting errors to obtain a high-quality data set; Using a weighted fusion algorithm to integrate data from different sources in the high-quality data set, generating a comprehensive database, and obtaining a comprehensive data set; Using geophysical exploration technology to conduct high-resolution geophysical exploration on the fused comprehensive data set to obtain underground structure information; Using geophysical inversion technology to analyze the exploration data to identify the location of potential ore bodies and obtain an ore body distribution map; Based on a comprehensive dataset, underground structure information, and an ore body distribution map, a three-dimensional geological model of the target area is created, and visual analysis of the three-dimensional geological model is performed through virtual reality technology to obtain ore body distribution display data.

[0008] As a preferred embodiment of the method for extracting data in geological and mineral exploration according to the present invention, wherein: the multi-source data collection method is used to collect data for the target area to obtain satellite remote sensing data, unmanned aerial vehicle (UAV) aerial survey data, and ground geophysical exploration data, and an original dataset is obtained. The specific steps are as follows: A UAV equipped with a LiDAR sensor and a high-resolution camera is used for detailed mapping of the target area; During the flight of the UAV, the flight altitude is monitored and adjusted to obtain UAV aerial survey data; The UAV aerial survey data includes a digital terrain model (DTM) and a digital surface model; Multiple key points are selected within the target area for gravity exploration, magnetic exploration, and electrical exploration; The data is imported into a unified data processing platform and converted to the same geographic coordinates. The expression is: ; wherein, represents satellite remote sensing data, represents the spatial resolution, specifically the image gray value, represents UAV aerial survey data, represents the altitude change, specifically the surface reflectivity, represents ground geophysical exploration data, represents the detection depth, specifically the geophysical parameter.

[0009] As a preferred embodiment of the method for extracting data in geological and mineral exploration according to the present invention, wherein: the preliminary data processing method is used to preprocess the collected data to remove noise and correct errors to obtain a high-quality dataset. The specific steps are as follows: Apply adaptive filtering technology to process the original dataset; Apply an error correction model based on the least squares method to the filtered data; Standardize the data after noise removal and error correction to eliminate the scale difference between data from different sources and obtain a high-quality dataset.

[0010] As a preferred embodiment of the method for extracting data in geological and mineral exploration according to the present invention, wherein: the weighted fusion algorithm is used to integrate data from different sources in the high-quality dataset to generate a comprehensive database and obtain a comprehensive dataset. The specific steps are as follows: According to the quality and applicability of each data source, define a weight function. The expression is: ; Among them, is an adjustment parameter used to control the concentration degree of weight distribution, represents the number of all available data sources, represents the data source type; For each data point, calculate the fusion coefficient based on the weight function , and the expression is: ; Among them, represents the number of data sources, represents the th data source at the th data point; Use the calculated fusion coefficient to construct a comprehensive database; Combine the fusion coefficient of each data point with its corresponding geographical location information to form the final comprehensive data set.

[0011] As a preferred solution of the method for extracting data in geological and mineral exploration described in the present invention, wherein: perform high-resolution geophysical exploration on the fused comprehensive data set by using geophysical exploration technology to obtain underground structure information, and the specific steps are as follows: Design a regular exploration grid in the target area; Use the selected geophysical exploration equipment to conduct on-site measurements according to the pre-designed exploration grid; Record the data of each exploration point and associate it with the corresponding location information in the comprehensive data set; For each exploration point, calculate its anomaly value relative to the background field, and the expression is: ; Among them, represents the actual measured value of the exploration point at the coordinate , is the background field value of this area, and are the maximum and minimum measured values in this area respectively; Import all the collected exploration data into professional software for processing to remove noise and correct errors; Use the inversion algorithm to convert the measured values in two-dimensional or three-dimensional space into information on the underground geological structure; Combine all the exploration data and their analysis results to generate a detailed underground structure information map and obtain the underground structure information, and the expression is: ; Among them, , , respectively represent the three-dimensional coordinate positions of the th parsing point, represents the geological structure type or parameter at this point, is the total number of parsing points.

[0012] As a preferred solution of the method for extracting data in geological and mineral exploration described in the present invention, among them: the exploration data is parsed by using geophysical inversion technology to identify the location of potential ore bodies and obtain an ore body distribution map. The specific steps are as follows: Based on existing geological data and known underground structure information, a preliminary underground geological model is constructed; The underground geological model includes formation interfaces, rock types, and estimated values of their physical parameters, and its expression is: ; Among them, represents the formation density of the th unit, represents the volume of this unit, is the total number of units in the model; Use the selected inversion model to perform forward simulation on the initial model and calculate the expected geophysical field; Compare the simulation results with the actual measurement data to evaluate the accuracy of the model. The expression of the forward simulation result is: ; Among them, is the forward simulation function of the geophysical field, is the initial model; Calculate the difference between the simulation result and the actual measurement data and define an error function to quantify this difference. The expression is: ; Among them, represents the simulation result of the th point, is the corresponding observation data, is the total number of data points; According to the results of error analysis, adjust the parameters in the initial model and re-perform forward simulation until the error reaches the minimum value; When the error reaches a predetermined threshold, generate an ore body distribution map based on the finally optimized underground model , and the expression is: ; Among them, , , respectively represent the three-dimensional coordinates of the th orebody position, represents the attributes of the orebody, is the total number of ore bodies.

[0013] As a preferred solution of the method for extracting data in geological and mineral exploration according to the present invention, wherein: based on the comprehensive dataset, underground structure information, and orebody distribution map, a three-dimensional geological model of the target area is created, and the three-dimensional geological model is visually analyzed through virtual reality technology to obtain orebody distribution display data. The specific steps are as follows: Using the three-dimensional geological modeling software GOCAD, a preliminary three-dimensional geological model framework is constructed according to the underground structure information. The preliminary three-dimensional geological model framework includes stratigraphic interfaces and geological units; Integrate the information in the orebody distribution map into the three-dimensional geological model. The expression is: ; wherein, represents the attribute value of the th orebody, is the orebody volume, is the total number of ore bodies; Refine the three-dimensional geological model according to the additional information provided by the comprehensive dataset; Select the VR software Unreal Engine and import the optimized three-dimensional geological model into the virtual reality VR platform; Use the tools provided by the VR platform to generate detailed orebody distribution display data.

[0014] In a second aspect, the present invention provides a geological and mineral exploration data extraction system, including: A data acquisition module, a data preprocessing module, a data integration module, a geophysical exploration module, a geophysical inversion module, and a visual analysis module; The data acquisition module is used to collect data on the target area by using a multi-source data collection method to obtain satellite remote sensing data, unmanned aerial vehicle aerial survey data, and ground geophysical exploration data, and generate an original dataset; The data preprocessing module is used to perform preliminary processing on the collected data to remove noise and correct errors to obtain a high-quality dataset; The data integration module is used to integrate the data from different sources in the high-quality dataset by using a weighted fusion algorithm to generate a comprehensive database and obtain a comprehensive dataset; The geophysical exploration module is used to perform high-resolution geophysical exploration on the integrated comprehensive dataset to obtain underground structure information; The geophysical inversion module is used to analyze exploration data, identify the locations of potential ore bodies, and obtain an ore body distribution map. The visualization analysis module is used to create a three-dimensional geological model of the target area based on the comprehensive dataset, underground structure information, and ore body distribution map, and perform visualization analysis through virtual reality technology to obtain ore body distribution display data.

[0015] In a third aspect, the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and: when the computer program is executed by the processor, any step of the method for extracting geological and mineral exploration data as described in the first aspect of the present invention is implemented.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and: when the computer program is executed by the processor, any step of the method for extracting geological and mineral exploration data as described in the first aspect of the present invention is implemented.

[0017] The beneficial effects of the present invention are as follows: By performing preliminary processing on the collected data, removing noise and correcting errors, the generation of a high-quality dataset is achieved. The high-quality dataset reduces the uncertainty in subsequent analysis, improves the consistency and reliability of the data. By using a weighted fusion algorithm to integrate data from different sources in the high-quality dataset, the creation of a comprehensive database is realized, and a comprehensive dataset is obtained. Through weighted fusion, the advantages of each data source are maximally utilized, thereby providing more comprehensive and accurate geological information. This not only improves the comprehensive utilization rate of the data but also provides stronger support for geophysical exploration, helping to discover the locations and forms of potential ore bodies. The application of high-resolution geophysical exploration technology can not only depict the underground structure in detail but also help identify areas that may contain ore bodies. By calculating the anomaly values of exploration points relative to the background field, the locations and forms of potential ore bodies can be more accurately located. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is a flowchart of the method for extracting geological and mineral exploration data in Embodiment 1.

[0020] Figure 2 It is a schematic diagram of the system for extracting geological and mineral exploration data in Embodiment 1. Detailed implementation manners

[0021] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific implementation manners of the present invention in conjunction with the accompanying drawings of the specification.

[0022] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0023] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an individual or alternative embodiment that mutually excludes other embodiments.

[0024] Example 1, referring to Figure 1 and Figure 2 , which is the first embodiment of the present invention. This embodiment provides a method for extracting data in geological and mineral exploration, including the following steps:

[0025] S1. Use a multi-source data collection method to collect data for the target area, obtain satellite remote sensing data, unmanned aerial vehicle (UAV) aerial survey data, and ground geophysical exploration data, and obtain an original data set; Furthermore, a UAV equipped with a LiDAR sensor and a high-resolution camera is used for detailed mapping of the target area; During the flight of the UAV, monitor and adjust the flight altitude to obtain UAV aerial survey data; The UAV aerial survey data includes a digital terrain model (DTM) and a digital surface model; Select multiple key points within the target area for gravity exploration, magnetic exploration, and electrical exploration;

[0026] Import the data into a unified data processing platform and convert it to the same geographic coordinates. The expression is: ; Among them, represents the satellite remote sensing data, represents the spatial resolution, specifically the image gray value, represents the UAV aerial survey data, represents the altitude change, specifically the surface reflectivity, represents the ground geophysical exploration data, represents the detection depth, specifically the geophysical parameter; It should be noted that by integrating multiple data sources such as satellite remote sensing, UAV aerial survey, and ground geophysical exploration, not only can comprehensive information of the target area be obtained, but also the precise alignment of these data in a unified geographic coordinate system can be ensured, thus laying a solid foundation for subsequent data processing and analysis.

[0027] S2. Use preliminary data processing methods to preprocess the collected data, remove noise and correct errors to obtain a high-quality data set; Furthermore, apply adaptive filtering technology to process the original data set; Apply an error correction model based on the least squares method to the filtered data; Standardize the data after noise removal and error correction, eliminate the scale differences between data from different sources, and obtain a high-quality data set; It should be noted that applying adaptive filtering technology and an error correction model based on the least squares method in the preliminary data processing steps can not only effectively remove noise and correct errors, but also significantly improve the quality of the data, ensuring the accuracy and reliability of subsequent analysis results.

[0028] S3. Use a weighted fusion algorithm to integrate data from different sources in the high-quality data set, generate a comprehensive database, and obtain a comprehensive data set; Furthermore, define a weight function according to the quality and applicability of each data source, and the expression is: ; where is an adjustment parameter used to control the concentration of the weight distribution, represents the number of all available data sources, represents the data source type; For each data point, calculate the fusion coefficient based on the weight function , and the expression is: ; where represents the number of data sources, represents the th data source at the th data point; Use the calculated fusion coefficient to construct a comprehensive database; Combine the fusion coefficient of each data point with its corresponding geographical location information to form the final comprehensive data set; It should be noted that when integrating data from different sources using the weighted fusion algorithm, weights are assigned according to the quality and applicability of each data source, which can maximize the advantages of each type of data and generate a more comprehensive and accurate comprehensive database, providing strong support for subsequent geophysical exploration.

[0029] S4. Use geophysical exploration techniques to conduct high-resolution geophysical exploration on the fused comprehensive dataset to obtain underground structure information; Furthermore, design a regular exploration grid within the target area; Use the selected geophysical exploration equipment to conduct on-site measurements according to the pre-designed exploration grid; Record the data of each exploration point and associate it with the corresponding position information in the comprehensive dataset; For each exploration point, calculate its anomaly value relative to the background field, and the expression is: ; Among them, represents the actual measurement value of the exploration point at the coordinate , is the background field value of this area, and are the maximum and minimum measurement values in this area respectively; Import all the collected exploration data into professional software for processing to remove noise and correct errors; Use the inversion algorithm to convert the measurement values in two-dimensional or three-dimensional space into information about the underground geological structure; Combine all the exploration data and their analysis results to generate a detailed underground structure information map and obtain the underground structure information, and the expression is: ; Among them, , , respectively represent the three-dimensional coordinate positions of the th analysis point, represents the geological structure type or parameter at this point, is the total number of analysis points; It should be noted that the application of high-resolution geophysical exploration technology can not only obtain detailed underground structure information, but also identify the location and shape of potential ore bodies by calculating the anomaly values of exploration points relative to the background field, which is crucial for subsequent geological analysis.

[0030] S5. Use geophysical inversion technology to analyze the exploration data, identify the location of potential ore bodies, and obtain an ore body distribution map; Furthermore, based on the existing geological data and the known underground structure information, a preliminary underground geological model is constructed; The underground geological model includes the formation interfaces, rock types, and estimated values of their physical parameters, and its expression is: ; Where, represents the formation density of the th unit, represents the volume of this unit, is the total number of units in the model; Use the selected inversion model to perform forward simulation on the initial model and calculate the expected geophysical field; Compare the simulation results with the actual measurement data to evaluate the accuracy of the model. The expression of the forward simulation result is: ; Where, is the forward simulation function of the geophysical field, is the initial model; Calculate the difference between the simulation result and the actual measurement data and define the error function to quantify this difference. The expression is: ; Where, represents the simulation result of the th point, is the corresponding observation data, is the total number of data points; According to the results of the error analysis, adjust the parameters in the initial model and perform forward simulation again until the error reaches the minimum value; When the error reaches the predetermined threshold, generate an ore body distribution map based on the finally optimized underground model , and the expression is: ; Where, , , respectively represent the three-dimensional coordinates of the th ore body position, represents the attribute of this ore body, is the total number of ore bodies; It should be noted that through in-depth analysis of exploration data, the geophysical inversion technology can effectively identify the specific positions and attributes of potential ore bodies, and by continuously adjusting the initial model parameters until the error reaches the minimum value, it ensures the accuracy and scientific nature of the final ore body distribution map.

[0031] S6. Create a 3D geological model of the target area based on the comprehensive dataset, underground structure information, and ore body distribution map, and perform visual analysis on the 3D geological model through virtual reality technology to obtain ore body distribution display data; Furthermore, use the 3D geological modeling software GOCAD to construct a preliminary 3D geological model framework based on the underground structure information. The preliminary 3D geological model framework includes stratigraphic interfaces and geological units; Integrate the information in the ore body distribution map into the 3D geological model, and the expression is: ; Wherein, represents the attribute value of the th ore body, is the volume of the ore body, is the total number of ore bodies; Refine the 3D geological model according to the additional information provided by the comprehensive dataset; Select the VR software Unreal Engine and import the optimized 3D geological model into the virtual reality VR platform; Use the tools provided by the VR platform to generate detailed ore body distribution display data; It should be noted that using 3D geological modeling software combined with virtual reality technology to create a 3D geological model of the target area can not only intuitively display the ore body distribution, but also improve the data analysis efficiency through immersive experience, enhance the scientificity and accuracy of the decision-making process. In addition, this method also allows users to further refine the model according to needs to meet the requirements of specific application scenarios.

[0032] This embodiment also provides a geological and mineral exploration data extraction system, including: A data acquisition module, a data preprocessing module, a data integration module, a geophysical exploration module, a geophysical inversion module, and a visualization analysis module; The data acquisition module is used to collect data on the target area by using a multi-source data collection method to obtain satellite remote sensing data, unmanned aerial vehicle aerial survey data, and ground geophysical exploration data, and generate an original dataset; The data preprocessing module is used to perform preliminary processing on the collected data, remove noise and correct errors to obtain a high-quality dataset; The data integration module is used to integrate the data from different sources in the high-quality dataset by using a weighted fusion algorithm to generate a comprehensive database and obtain a comprehensive dataset; The geophysical exploration module is used to perform high-resolution geophysical exploration on the fused comprehensive dataset to obtain underground structure information; A geophysical inversion module for analyzing exploration data, identifying the locations of potential ore bodies, and obtaining an ore body distribution map; A visualization analysis module for creating a 3D geological model of the target area based on a comprehensive dataset, underground structure information, and the ore body distribution map, and performing visualization analysis through virtual reality technology to obtain ore body distribution display data.

[0033] This embodiment also provides a computer device applicable to the method of extracting data for geological and mineral exploration, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the method of extracting data for geological and mineral exploration as proposed in the above embodiment.

[0034] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through Wi-Fi, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0035] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the method for realizing geological and mineral exploration and extracting data as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, abbreviated as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, abbreviated as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, abbreviated as EPROM), programmable read-only memory (Programmable Red-Only Memory, abbreviated as PROM), read-only memory (Read-Only Memory, abbreviated as ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0036] In summary, the present invention realizes the generation of a high-quality data set by preliminarily processing the collected data, removing noise and correcting errors. The high-quality data set reduces the uncertainty in subsequent analysis, improves the consistency and reliability of the data. By using a weighted fusion algorithm to integrate data from different sources in the high-quality data set, the creation of a comprehensive database is realized, and a comprehensive data set is obtained. Through weighted fusion, the advantages of each data source are maximally utilized, thereby providing more comprehensive and accurate geological information. It not only improves the comprehensive utilization rate of data, but also provides stronger support for geophysical exploration, helps to discover the location and shape of potential ore bodies. The application of high-resolution geophysical exploration technology can not only detailedly depict the underground structure, but also help to identify areas that may contain ore bodies. By calculating the anomaly value of the exploration point relative to the background field, the location and shape of potential ore bodies can be more accurately located.

[0037] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for extracting data from geological and mineral exploration, characterized in that: include: Use multi-source data collection methods to collect data in the target area, obtain satellite remote sensing data, drone aerial survey data, and ground geophysical data, and obtain the original data set; Preliminary data processing methods are used to preprocess the collected data, remove noise and correct errors to obtain high-quality data sets; A weighted fusion algorithm is used to integrate data from different sources in high-quality data sets to generate a comprehensive database and obtain a comprehensive data set; Use geophysical exploration technology to conduct high-resolution geophysical exploration on the integrated data set to obtain underground structure information; Use geophysical inversion technology to analyze exploration data, identify the location of potential ore bodies, and obtain ore body distribution maps; Based on comprehensive data sets, underground structure information and ore body distribution maps, a three-dimensional geological model of the target area is created. The three-dimensional geological model is visualized and analyzed through virtual reality technology to obtain ore body distribution display data.

2. The method for extracting data from geological and mineral exploration according to claim 1, characterized in that: The multi-source data collection method is used to collect data from the target area, obtain satellite remote sensing data, drone aerial survey data and ground geophysical data, and obtain the original data set. The specific steps are: Drones equipped with LiDAR sensors and high-resolution cameras were used for detailed mapping of target areas; During the flight of the drone, the flight altitude is monitored and adjusted to obtain the drone aerial survey data; The UAV aerial survey data includes a terrain model DTM and a digital surface model; Select multiple key points in the target area for gravity, magnetic and electrical exploration; Import the data into a unified data processing platform and convert it to the same geographic coordinates. The expression is: ； in, represents satellite remote sensing data, Represents the spatial resolution, specifically the grayscale value of the image, Represents drone aerial survey data, represents the height change, specifically the surface reflectivity, Represents ground geophysical data, Represents the detection depth, specifically a geophysical parameter.

3. The method for extracting data from geological and mineral exploration according to claim 2, characterized in that: The preliminary data processing method is used to pre-process the collected data, remove noise and correct errors to obtain a high-quality data set. The specific steps are: Apply adaptive filtering technology to process the original data set; applying a least squares-based error correction model to the filtered data; The noise-removed and error-corrected data are standardized to eliminate the scale differences between data from different sources and obtain a high-quality data set.

4. The method for extracting data from geological and mineral exploration as claimed in claim 3, characterized in that: The weighted fusion algorithm is used to integrate data from different sources in the high-quality data set to generate a comprehensive database and obtain a comprehensive data set. The specific steps are: According to the quality and applicability of each data source, a weight function is defined, and the expression is: ; in, is a tuning parameter used to control the concentration of weight distribution. Represents the number of all available data sources, Indicates the data source type; For each data point, calculate the fusion coefficient based on the weight function , the expression is: ; in, Indicates the number of data sources. Indicates The data source is in The value at the data point; Use the calculated fusion coefficient To build a comprehensive database; The fusion coefficient of each data point is combined with its corresponding geographic location information to form the final comprehensive data set.

5. The method for extracting data from geological and mineral exploration according to claim 4, characterized in that: The geophysical exploration technology is used to perform high-resolution geophysical exploration on the integrated data set to obtain underground structure information. The specific steps are: Design a regular exploration grid within the target area; Conduct field measurements using selected geophysical survey equipment according to pre-designed survey grids; Record data from each survey point and associate it with the corresponding location information in the comprehensive dataset; For each exploration point, its outlier value relative to the background field is calculated, and the expression is: ； in, Indicates that the exploration point is at coordinates The actual measured value at is the background field value of the area, and are the maximum and minimum measured values ​​in the area, respectively; Import all the collected exploration data into professional software for processing, remove noise and correct errors; Use inversion algorithms to convert measurements in two-dimensional or three-dimensional space into information about underground geological structures; Combining all exploration data and their analysis results, a detailed underground structure information map is generated, and the underground structure information is obtained, which is expressed as: ; in, , , Respectively represent The three-dimensional coordinate position of the analysis point, Indicates the geological structure type or parameters at this point. is the total number of resolution points.

6. The method for extracting data from geological and mineral exploration according to claim 5, characterized in that: The geophysical inversion technology is used to analyze the exploration data, identify the location of potential ore bodies, and obtain an ore body distribution map. The specific steps are: Construct a preliminary underground geological model based on existing geological data and known underground structure information; The underground geological model includes the estimated values ​​of stratum interfaces, rock types and their physical parameters, and its expression is: ; in, Indicates The stratigraphic density of each unit, represents the unit volume, is the total number of elements in the model; Perform a forward simulation of the initial model using the selected inversion model to calculate the expected geophysical fields; The simulation results are compared with the actual measured data to evaluate the accuracy of the model. The result expression of the forward simulation is: ; in, is the forward simulation function of the geophysical field, is the initial model; Calculate the difference between the simulation results and the actual measured data and define the error function To quantify this difference, the expression is: ; in, Indicates The simulation results of the points are is the corresponding observation data, is the total number of data points; According to the results of the error analysis, adjust the parameters in the initial model and re-run the forward simulation until the error Reach a minimum value; When the error After reaching the predetermined threshold, the ore body distribution map is generated based on the final optimized underground model , the expression is: ; in, , , Respectively represent The three-dimensional coordinates of the ore body location, Indicates the properties of the ore body. is the total number of ore bodies.

7. The method for extracting data from geological and mineral exploration according to claim 6, characterized in that: The method is based on the comprehensive data set, underground structure information and ore body distribution map to create a three-dimensional geological model of the target area, and to visualize and analyze the three-dimensional geological model through virtual reality technology to obtain ore body distribution display data. The specific steps are as follows: Using GOCAD, a 3D geological modeling software, a preliminary 3D geological model framework is constructed based on underground structure information, wherein the preliminary 3D geological model framework includes stratigraphic interfaces and geological units; The information in the ore body distribution map is integrated into the three-dimensional geological model, and the expression is: ; in, Indicates The property value of the ore body, is the ore body volume, is the total number of ore bodies; Refine the 3D geological model based on additional information provided by the comprehensive dataset; Select VR software Unreal Engine to import the optimized 3D geological model into the virtual reality VR platform; Utilize the tools provided by the VR platform to generate detailed ore body distribution display data.

8. A geological and mineral exploration data extraction system, based on the method for extracting geological and mineral exploration data according to any one of claims 1 to 7, characterized in that: include: Data acquisition module, data preprocessing module, data integration module, geophysical exploration module, geophysical inversion module and visualization analysis module; The data acquisition module is used to collect data from the target area using a multi-source data collection method, obtain satellite remote sensing data, drone aerial survey data and ground geophysical data, and generate an original data set; The data preprocessing module is used to perform preliminary processing on the collected data, remove noise and correct errors to obtain a high-quality data set; The data integration module is used to integrate data from different sources in the high-quality data set using a weighted fusion algorithm to generate a comprehensive database and obtain a comprehensive data set; The geophysical exploration module is used to perform high-resolution geophysical exploration on the integrated data set to obtain underground structure information; The geophysical inversion module is used to analyze the exploration data, identify the location of potential ore bodies, and obtain an ore body distribution map; The visualization analysis module is used to create a three-dimensional geological model of the target area based on a comprehensive data set, underground structure information and ore body distribution map, and to perform visualization analysis through virtual reality technology to obtain ore body distribution display data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for extracting data from geological and mineral exploration as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for extracting data from geological and mineral exploration as described in any one of claims 1 to 7 are implemented.

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