Geophysical data visualization method and device based on subatomic radiation characteristics

Abstract

The embodiment of the application provides a kind of geophysical data visualization method and device based on subatomic radiation characteristics, method includes: by obtaining subatomic radiation anomaly film, according to preset spatial distribution characteristics, contour drawing operation is carried out to subatomic radiation anomaly graph, corresponding subatomic radiation anomaly contour graph is determined;According to preset data fusion algorithm, data fusion operation is carried out, and corresponding subatomic radiation anomaly contour coordinate graph is determined;Subatomic radiation anomaly contour coordinate graph is carried out attribute assignment operation, and after attribute assignment operation, the subatomic radiation anomaly contour assignment graph obtained is carried out point attribute export operation, and corresponding subatomic radiation anomaly contour digital file is determined, according to subatomic radiation anomaly contour digital file, geophysical data visualization operation is carried out, and corresponding three-dimensional visualization graph is determined, the application can be based on matter subatomic radiation anomaly information, improve the efficiency and accuracy of geophysical information visualization.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data processing, in particular to a geophysical data visualization method and device based on subatomic radiation characteristics. BACKGROUND

[0002] With the continuous deepening of geophysical measurement in the prior art and the rapid development of surveying technology methods, geophysical data increases sharply with the improvement of work degree, and geophysical workers have accumulated a large amount of geophysical data, but the utilization efficiency of these data is low. In the past work, the method often used is to process various data and images, and draw various anomaly maps. The conversion work between digital information and map information is very large, and the conversion process between various different scale anomaly maps is complex, which seriously limits the redevelopment and application of geophysical data, and makes it serve for resource evaluation and mineral prediction. It has become a major problem faced by the current geophysical industry.

[0003] GIS geographic information technology provides a new idea and method for the processing, management and analysis of anomaly information. The main GIS systems in the prior art include ARCINFO, MAPINFO, MAPGIS, GEOSTAR, etc. Among them, MAPGIS has a wide market prospect. The MAPGIS system is composed of data input editing, attribute library management, graphic library management, digital elevation model, spatial analysis and three-dimensional visualization, remote sensing image processing, data output and other parts, which provides a powerful tool for spatial anomaly information processing, management, analysis and display.

[0004] However, using common underground resource exploration data and GIS for spatial analysis and three-dimensional visualization, due to the complexity and invisibility of geophysical data, the final result has non-uniqueness, that is, multiple results, and the accuracy is not high. SUMMARY

[0005] In view of the problems in the prior art, the present application provides a geophysical data visualization method and device based on subatomic radiation characteristics, which can improve the efficiency and accuracy of geophysical information visualization based on subatomic radiation anomaly information.

[0006] In order to solve at least one of the above problems, the present application provides the following technical scheme:

[0007] In a first aspect, the present application provides a geophysical data visualization method based on subatomic radiation characteristics, comprising:

[0008] acquire an anomaly film of subatomic radiation, perform a scanning operation on the anomaly film of subatomic radiation, determine a corresponding anomaly graph of subatomic radiation, perform an isopleth drawing operation on the anomaly graph of subatomic radiation according to a preset spatial distribution feature, and determine a corresponding anomaly isopleth graph of subatomic radiation;

[0009] perform a data conversion operation on the anomaly isopleth graph of subatomic radiation according to a preset data conversion mode, determine a corresponding anomaly isopleth conversion graph of subatomic radiation, perform a data fusion operation on the anomaly isopleth conversion graph of subatomic radiation and a preset regional coordinate according to a preset data fusion algorithm, and determine a corresponding anomaly isopleth coordinate graph of subatomic radiation;

[0010] perform a vectorization operation on the anomaly isopleth coordinate graph of subatomic radiation, determine a corresponding anomaly isopleth vectorized line file of subatomic radiation, perform an attribute assignment operation on the anomaly isopleth vectorized line file of subatomic radiation, perform a point attribute export operation on an anomaly isopleth assigned graph of subatomic radiation obtained after the attribute assignment operation, determine a corresponding anomaly isopleth digital file of subatomic radiation, perform a geophysical data visualization operation according to the anomaly isopleth digital file of subatomic radiation, and determine a corresponding three-dimensional visualization graph.

[0011] Further, the isopleth drawing operation on the anomaly graph of subatomic radiation according to the preset spatial distribution feature to determine the corresponding anomaly isopleth graph of subatomic radiation comprises:

[0012] perform an isopleth interval selection operation according to the preset spatial distribution feature to determine a corresponding isopleth interval;

[0013] perform an isopleth drawing operation according to the isopleth interval and a preset color coding scheme to determine the corresponding anomaly isopleth graph of subatomic radiation.

[0014] Further, the data fusion operation on the anomaly isopleth conversion graph of subatomic radiation and the preset regional coordinate according to the preset data fusion algorithm to determine the corresponding anomaly isopleth coordinate graph of subatomic radiation comprises:

[0015] perform a control point information selection operation on the preset regional coordinate to determine a corresponding control point;

[0016] perform a data fusion operation on the control point and the anomaly isopleth conversion graph of subatomic radiation according to a polynomial fitting algorithm to determine the corresponding anomaly isopleth coordinate graph of subatomic radiation.

[0017] Further, the attribute assignment operation on the anomaly isopleth vectorized line file of subatomic radiation comprises:

[0018] The subatomic radiation anomaly contour vectorized line file is subjected to a radiation flux attribute value assignment operation;

[0019] The subatomic radiation anomaly contour vectorized line file is subjected to a coordinate point attribute assignment operation.

[0020] Further, the subatomic radiation anomaly film includes:

[0021] According to the preset subatomic field generator, the original geophysical data film is subjected to a radiation operation;

[0022] According to the preset photosensitive film, the subatomic radiation resonance obtained after the radiation operation is received, and the corresponding subatomic radiation anomaly film is determined.

[0023] Further, the geophysical data visualization operation is performed according to the subatomic radiation anomaly contour digital file, and the corresponding three-dimensional visualization map is determined, including:

[0024] According to the preset digital terrain model, the contour data in the subatomic radiation anomaly contour digital file is subjected to a gridding process, and the corresponding subatomic radiation anomaly contour grid map is determined.

[0025] According to the subatomic radiation anomaly contour grid map, the geophysical data visualization operation is performed, and the corresponding three-dimensional visualization map is determined.

[0026] Further, the geophysical data visualization operation is performed according to the subatomic radiation anomaly contour grid map, and the corresponding three-dimensional visualization map is determined, including:

[0027] The subatomic radiation anomaly contour grid map is subjected to a profile cutting operation, and the corresponding subatomic radiation anomaly inclination and subatomic radiation anomaly dip angle are determined according to the profile obtained after the profile cutting operation;

[0028] According to the subatomic radiation anomaly inclination and the subatomic radiation anomaly dip angle, the corresponding three-dimensional visualization map is determined.

[0029] Further, the geophysical data visualization operation is performed according to the subatomic radiation anomaly contour grid map, and the corresponding three-dimensional visualization map is determined, including:

[0030] According to the subatomic field generator and the subatomic radiation anomaly dip angle, the original geophysical data film is subjected to a radiation operation, and the corresponding geophysical data vertical dip angle radiation image and geophysical data parallel dip angle radiation image are determined.

[0031] According to the subatomic field generator, the original geophysical data film is subjected to a vertical radiation operation, and the corresponding geophysical data vertical radiation image is determined.

[0032] determining a corresponding three-dimensional visualization figure according to the vertical radiation image of the geophysical data, the vertical inclination radiation image of the geophysical data and the parallel inclination radiation image of the geophysical data.

[0033] Further, the determining a corresponding three-dimensional visualization figure according to the vertical radiation image of the geophysical data, the vertical inclination radiation image of the geophysical data and the parallel inclination radiation image of the geophysical data comprises:

[0034] determining a corresponding geophysical data depth according to the vertical radiation image of the geophysical data and the vertical inclination radiation image of the geophysical data, and determining a corresponding geophysical data thickness according to the parallel inclination radiation image of the geophysical data;

[0035] determining a corresponding three-dimensional visualization figure according to the geophysical data depth and the geophysical data thickness.

[0036] In a second aspect, the present application provides a geophysical data visualization device based on subatomic radiation characteristics, comprising:

[0037] An isogram anomaly drawing module is configured to obtain a subatomic radiation anomaly film, perform a scanning operation on the subatomic radiation anomaly film, determine a corresponding subatomic radiation anomaly image, perform an isogram drawing operation on the subatomic radiation anomaly image according to a preset spatial distribution feature, and determine a corresponding subatomic radiation anomaly isogram, wherein the historical form usage data comprises at least one of historical form performance data and historical form structure change data.

[0038] An isogram coordinate drawing module is configured to perform a data conversion operation on the subatomic radiation anomaly isogram according to a preset data conversion mode, determine a corresponding subatomic radiation anomaly isogram conversion image, perform a data fusion operation on the subatomic radiation anomaly isogram conversion image and a preset region coordinate according to a preset data fusion algorithm, and determine a corresponding subatomic radiation anomaly isogram coordinate image.

[0039] A three-dimensional visualization module is configured to perform a vectorization operation on the subatomic radiation anomaly isogram coordinate image, determine a corresponding subatomic radiation anomaly isogram vectorization line file, perform an attribute assignment operation on the subatomic radiation anomaly isogram vectorization line file, perform a point attribute export operation on a subatomic radiation anomaly isogram assignment image obtained after the attribute assignment operation, determine a corresponding subatomic radiation anomaly isogram digital file, perform a geophysical data visualization operation according to the subatomic radiation anomaly isogram digital file, and determine a corresponding three-dimensional visualization figure.

[0040] In a third aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for visualizing geophysical data based on subatomic radiation characteristics when executing the program.

[0041] In a fourth aspect, the present application provides a computer-readable storage medium, having stored thereon a computer program, which, when executed by a processor, implements the steps of the method for visualizing geophysical data based on subatomic radiation characteristics.

[0042] In a fifth aspect, the present application provides a computer program product, comprising computer programs / instructions, which, when executed by a processor, implement the steps of the method for visualizing geophysical data based on subatomic radiation characteristics.

[0043] According to the above technical solution, the present application provides a method and device for visualizing geophysical data based on subatomic radiation characteristics. By obtaining subatomic radiation anomaly films, contour lines of subatomic radiation anomaly maps are drawn according to preset spatial distribution characteristics to determine corresponding subatomic radiation anomaly contour line maps. Data fusion is performed according to a preset data fusion algorithm to determine corresponding subatomic radiation anomaly contour line coordinate maps. Attribute assignment is performed on the subatomic radiation anomaly contour line coordinate maps, and point attribute export is performed on the subatomic radiation anomaly contour line assignment maps obtained after the attribute assignment to determine corresponding subatomic radiation anomaly contour line digital files. Geophysical data visualization is performed according to the subatomic radiation anomaly contour line digital files to determine corresponding three-dimensional visualization maps. Thus, based on subatomic radiation anomaly information of matter, the efficiency and accuracy of geophysical information visualization can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0045] Figure 1 One of the flowcharts of the method for visualizing geophysical data based on subatomic radiation characteristics in the embodiments of the present application;

[0046] Figure 2 One of the flowcharts of the method for visualizing geophysical data based on subatomic radiation characteristics in the embodiments of the present application;

[0047] Figure 3Figure 3 is a flowchart of a method for visualizing geophysical data based on subatomic radiation characteristics according to an embodiment of the present application;

[0048] Figure 4 Figure 4 is a flowchart of a method for visualizing geophysical data based on subatomic radiation characteristics according to an embodiment of the present application;

[0049] Figure 5 Figure 5 is a flowchart of a method for visualizing geophysical data based on subatomic radiation characteristics according to an embodiment of the present application;

[0050] Figure 6 Figure 6 is a flowchart of a method for visualizing geophysical data based on subatomic radiation characteristics according to an embodiment of the present application;

[0051] Figure 7 Figure 7 is a flowchart of a method for visualizing geophysical data based on subatomic radiation characteristics according to an embodiment of the present application;

[0052] Figure 8 Figure 8 is a flowchart of a method for visualizing geophysical data based on subatomic radiation characteristics according to an embodiment of the present application;

[0053] Figure 9 Figure 9 is a flowchart of a method for visualizing geophysical data based on subatomic radiation characteristics according to an embodiment of the present application;

[0054] Figure 10 Figure 10 is a block diagram of a device for visualizing geophysical data based on subatomic radiation characteristics according to an embodiment of the present application;

[0055] Figure 11 Figure 11 is a block diagram of an electronic device according to an embodiment of the present application.

[0056] Reference Signs:

[0057] Electronic device 9600, central processing unit 9100, memory 9140, communication module 9110, input unit 9120, audio processor 9130, display 9160, power supply 9170, buffer memory 9141, application / function storage section 9142, data storage section 9143, driver program storage section 9144, antenna 9111, speaker 9131, microphone 9132. DETAILED DESCRIPTION

[0058] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0059] The acquisition, storage, use and processing of data in the technical solutions of the present application comply with relevant provisions of national laws and regulations.

[0060] In view of the problem that common geophysical information visualization has multiple solutions and is not high in efficiency and accuracy, the present application provides a geophysical data visualization method and device based on subatomic radiation characteristics. The subatomic radiation anomaly film is acquired, contour line drawing operation is performed on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and the corresponding subatomic radiation anomaly contour line map is determined. Data fusion operation is performed according to a preset data fusion algorithm, and the corresponding subatomic radiation anomaly contour line coordinate map is determined. Attribute assignment operation is performed on the subatomic radiation anomaly contour line coordinate map, and point attribute export operation is performed on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation, and the corresponding subatomic radiation anomaly contour line digital file is determined. Geophysical data visualization operation is performed according to the subatomic radiation anomaly contour line digital file, and the corresponding three-dimensional visualization map is determined. In this way, the efficiency and accuracy of geophysical information visualization can be improved based on subatomic radiation anomaly information of matter.

[0061] In order to improve the efficiency and accuracy of geophysical information visualization based on subatomic radiation anomaly information of matter, an embodiment of a geophysical data visualization method based on subatomic radiation characteristics is provided in the present application, as shown in Figure 1 The geophysical data visualization method based on subatomic radiation characteristics specifically includes the following contents:

[0062] Step S101: Acquire a subatomic radiation anomaly film, perform scanning operation on the subatomic radiation anomaly film, determine a corresponding subatomic radiation anomaly map, perform contour line drawing operation on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determine a corresponding subatomic radiation anomaly contour line map.

[0063] Optionally, in the present embodiment, the purpose of the present embodiment is to extract a target matter radiation anomaly contour line map based on subatomic radiation characteristics, so as to lay a solid foundation for subsequent visualization.

[0064] Optionally, in this embodiment, the subatomic radiation anomaly film is based on the characteristics of subatomic radiation. By studying the correlation between the exploration target (solid mineral) and the subatomic radiation spectrum information, the distribution of the anomaly circled is the distribution of the element (ore body), and the element (ore body) anomaly has uniqueness. This provides a solid foundation for subsequent breaking of the multi-solution of underground material visualization, improving the efficiency and accuracy of underground material inversion.

[0065] Specifically, in the process of obtaining the subatomic radiation anomaly film, first, the specific range of the target geophysical data is determined, and the specific geographic range and location of the exploration work need to be determined, including latitude and longitude coordinates and approximate regional range. Since subatomic particles exist in remote sensing satellite images, after determining the range, the original remote sensing satellite film within the target geophysical data range needs to be obtained, and the subatomic radiation anomaly film is obtained by subatomic radiation resonance of the original film.

[0066] More specifically, the remote sensing satellite original film is obtained. According to the exploration purpose, the specific requirements of the type, resolution, waveband, and time resolution of the satellite data are determined. According to the requirements, the satellite that can provide the required scale, shooting angle, time resolution, and waveband is selected. It may involve high-resolution commercial satellites (such as GeoEye, WorldView series), scientific research satellites (such as Landsat, Sentinel series), or special task satellites.

[0067] Specifically, the scale is set, and different scales of the film are customized according to the exploration needs. This involves extracting and synthesizing images of different scales from high-resolution satellite data. Professional software (such as ERDAS IMAGINE, ArcGIS, etc.) is used for image scaling, cropping, and splicing to meet the needs of different scales.

[0068] It can be understood that large-scale satellite film: indicates a small range and detailed content, and is suitable for precise measurement and detailed analysis. In mineral exploration, large-scale satellite film can clearly show the details of the topography, geology, and structure of the mining area, which helps to find out the ore outcrop and mineralization alteration zone, etc.

[0069] Medium-scale satellite film: between large-scale and small-scale, suitable for medium-range regional investigation. In the exploration work, medium-scale satellite film can provide more comprehensive regional geological background information, which helps to understand the tectonic framework and magmatic rock distribution of the mining area.

[0070] Small-scale satellite film: indicates a wide range and general content, which is used for overview of geographic information. Small-scale satellite film can show the geological structure and topographic features of the entire exploration area or even a larger range, which helps to grasp the geological background and prospecting direction of the mining area from a macro perspective.

[0071] Specifically, set the shooting angle, in the range of 0-180°, every 3° take a satellite, to ensure that the satellite can adjust its shooting angle to cover the entire range. Considering the limitations of satellite orbit and attitude control, multiple transits or combined data from multiple satellites are needed to complete this requirement.

[0072] It can be understood that low-angle shooting: makes the shooting object appear more tall and magnificent, increases the visual impact. In mineral exploration, low-angle shooting satellite can highlight the terrain elevation change of mining area, enhance the understanding of topographic features.

[0073] High-angle shooting: shows the overall and details of the scene, increases the level of the picture. High-angle shooting satellite can fully demonstrate the layout and geological structure characteristics of the mining area, which helps to understand the overall geological conditions of the mining area.

[0074] Multi-angle shooting: through different angles of shooting, we can get multi-view information of the mining area, which helps to understand the geological features and ore body shape of the mining area more comprehensively. This is of great significance for three-dimensional modeling and ore body shape analysis of mineral resources.

[0075] Specifically, set the time period, customize a satellite every 30 minutes for 24 hours. This requires the satellite to have high-frequency revisit capability or use multiple satellites for collaborative observation. Ensure that the satellite can shoot stably within the specified time period and record the exact time of each shooting.

[0076] It can be understood that the satellite at different time periods can have the following observation functions:

[0077] Time series analysis, by obtaining satellite images at different time periods, we can analyze the dynamic change process of the mining area. For example, in mineral exploration, we can analyze the vegetation coverage change and surface water system change of the mining area, so as to infer the geological action and mineralization process of the mining area.

[0078] Environmental change monitoring, satellite images at different time periods can also be used to monitor the environmental changes of the mining area, such as soil erosion, geological disasters, etc. This is of great significance for assessing the environmental risk and protecting the ecological environment of the mining area.

[0079] Specifically, set the waveband, customize satellite images of five wavebands: radio frequency, optical, short-wave infrared, long-wave infrared, and ultraviolet. This requires the satellite to have multi-spectral or hyperspectral imaging capability. According to the waveband coverage of the satellite, select the closest waveband to the requirement for data collection.

[0080] It can be understood that the optical waveband: mainly used to obtain visible light and infrared waveband information of the mining area, reflecting the surface coverage and vegetation growth of the mining area. This is of great significance for understanding the natural environment and human activities of the mining area.

[0081] Short-wave infrared band: sensitive to the specific absorption characteristics of minerals, often used for mineral identification and lithology division. In mineral exploration, short-wave infrared band satellite images can reveal the absorption spectrum characteristics of minerals, helping to find mineralized alteration zones and ore outcrops.

[0082] Long-wave infrared band: mainly used for monitoring the distribution of surface temperature and heat transfer process. In mineral exploration, long-wave infrared band satellite images can be used to study the geothermal anomalies and underground hydrothermal activities in the mining area, providing clues for the search of hydrothermal deposits.

[0083] Radio frequency and ultraviolet band: although not commonly used in conventional satellite remote sensing in mineral exploration, it has special application value under certain conditions (such as detecting underground pipelines, monitoring atmospheric composition, etc.).

[0084] In summary, by using different scales, different shooting angles, different time periods, and different wave bands, accurate geophysical data original negatives can be obtained.

[0085] Optionally, after obtaining the geophysical data original negative, the information receiving carrier of the original negative is irradiated by the subatomic field generator, and the subatomic radiation anomaly film is obtained through the subatomic resonance principle. The subatomic field generator is composed of two nested coils. The output of one coil is connected to a DC power supply with a voltage of 12V, and the output of the other coil is connected to an AC power supply with a voltage of 220V. It can be understood that different energy levels of radiation have different penetration capabilities and response characteristics for different types of geological structures or mineral compositions. By adjusting the radiation energy level, the explorer can more accurately target the target stratum or mineral for detection, reducing false positives and omissions, and improving the accuracy of the exploration results. The micro-positron radiation produced by the two coils has different characteristics such as frequency, wavelength or phase. This diversity can enhance the signal recognition ability and improve the discrimination of different geological structures during exploration. The effect of micro-positron radiation on the information carrier can improve the quality and contrast of the final imaging, making the visualization of the ore body better, thereby improving the researchers' understanding of the underground structure.

[0086] The information receiving carrier is preferably a photographic paper or film.

[0087] Optionally, in this embodiment, the subatomic radiation anomaly film is scanned to determine the corresponding subatomic radiation anomaly map.

[0088] Specifically, a high-precision, high-resolution film scanner is selected to ensure that the scanned image is clear and detailed. The radiation anomaly film is scanned into jpg, bmp, png, etc. related picture formats and saved to the computer.

[0089] Optionally, in this embodiment, the isogram of the subatomic radiation anomaly is drawn according to the preset spatial distribution characteristics to determine the corresponding subatomic radiation anomaly isogram.

[0090] Specifically, the isogram processing is a process of converting continuous data in the radiation anomaly image into discrete isograms. The key lies in selecting appropriate isogram generation algorithms and parameter settings. When generating isograms, appropriate isogram intervals and color coding schemes need to be set according to the intensity and variation trend of the spatial distribution characteristics of the radiation anomaly. By adjusting these parameters, clear and intuitive isogram maps can be generated, thereby better showing the distribution law and variation trend of the radiation anomaly.

[0091] In addition, during the isogram processing, the smoothness and continuity of the isograms also need to be considered. By using interpolation algorithms and filtering techniques, the generated isograms can have good smoothness and continuity, thereby improving the readability and aesthetics of the image.

[0092] Preferably, the Surf drawing program is used for isogram processing. The Surf program has powerful graphics processing functions and supports various isogram generation algorithms and parameter settings. In the Surf program, the scanned radiation anomaly image is opened. Using the "isogram" function, appropriate isogram intervals (such as 5 units) and color coding schemes (such as blue to red to represent the radiation intensity from low to high) are selected. By adjusting algorithm parameters such as smoothness and continuity threshold, the generated isograms are both accurate and beautiful. The generated subatomic radiation anomaly isogram is exported as a picture format (such as png) for subsequent processing.

[0093] It can be understood that this step provides rich and comprehensive information support for geophysical exploration research through customized satellite pictures; the target material subatomic radiation anomaly is locked by using the subatomic characteristics, and the isogram processing of the radiation anomaly map lays a solid foundation for subsequent three-dimensional visualization of geophysical data.

[0094] Step S102: performing data conversion operation on the subatomic radiation anomaly isogram according to the preset data conversion mode to determine the corresponding subatomic radiation anomaly isogram conversion map, and performing data fusion operation on the subatomic radiation anomaly isogram conversion map and the preset region coordinates according to the preset data fusion algorithm to determine the corresponding subatomic radiation anomaly isogram coordinate map;

[0095] Optionally, in this embodiment, the purpose of this embodiment is to correct the coordinates of the subatomic radiation anomaly isogram obtained in step S101, so that subsequent visualization can be performed through coordinate attributes.

[0096] Optionally, in the embodiment, the picture is subjected to coordinate fusion, and data conversion is first performed. The purpose of the data conversion is to convert the picture format into an MSI file that can be processed by a GIS system. The picture is subjected to coordinate fusion in the GIS system, and the efficiency of image processing can be effectively improved.

[0097] Specifically, in the MapGis system, the contour picture is converted into an MSI file. The image analysis function of the MapGis is used to perform image correction on the radiation anomaly contour map through the known block coordinates, so that the picture has the GIS coordinate attribute.

[0098] More specifically, in the MapGis system, the contour map is loaded through the “image processing” module. The coordinate information of the known block is input through the “image analysis” function. The image is accurately corrected by selecting a sufficient number of control points and uniformly distributing the control points. In the correction process, the least square method or the polynomial fitting algorithm is used to ensure that the corrected image has high accuracy and reliability.

[0099] For example, there is a subatomic radiation anomaly contour map that needs to be subjected to coordinate fusion. The specific fusion steps are as follows:

[0100] 1. In the MapGis system, the radiation anomaly contour picture is converted into an msi file through the “image processing”, “image analysis”, and “data conversion” functions.

[0101] 2. In the MapGis system, a new engineering file is established through the “image processing” and “input editing”. A work area line file is created in the engineering file through the known block coordinates.

[0102] 3. In the MapGis system, the created msi file is opened through the “image processing”, “image analysis”, and “mosaic fusion”. The block line file is selected as the reference file. The radiation anomaly contour map msi file is corrected and controlled by adding control points. Finally, the corrected radiation anomaly contour map msi file is generated, which is the raster data with the coordinate attribute.

[0103] It can be understood that the image correction is to ensure the geographical coordinate accuracy of the contour map, which is crucial for subsequent visual analysis.

[0104] Step S103: vectorizing the subatomic radiation anomaly contour coordinate graph, determining a corresponding subatomic radiation anomaly contour vectorized line file, performing attribute assignment operation on the subatomic radiation anomaly contour vectorized line file, and performing point attribute export operation on the subatomic radiation anomaly contour assignment graph obtained after the attribute assignment operation, determining a corresponding subatomic radiation anomaly contour digital file, performing geophysical data visualization operation according to the subatomic radiation anomaly contour digital file, and determining a corresponding three-dimensional visualization graph.

[0105] Optionally, in this embodiment, the purpose of this embodiment is to perform geophysical data visualization, display the three-dimensional information of the target geophysical data, and help researchers understand the specific form of the underground research target.

[0106] Optionally, in this embodiment, vectorization, attribute assignment, and digitization are all processes of digital form conversion of the subatomic radiation anomaly contour coordinate graph, so as to facilitate subsequent more complex analysis and processing on the computer.

[0107] Optionally, in this embodiment, the subatomic radiation anomaly contour coordinate graph is vectorized to determine a corresponding subatomic radiation anomaly contour vectorized line file.

[0108] Specifically, this step is a vectorization process, and attention should be paid to the identification and extraction of the contour lines in the vectorization process. By using advanced image recognition and processing technology, the contour line information in the image can be automatically identified and extracted, thereby greatly improving the efficiency and accuracy of the vectorization processing. At the same time, the vectorization result needs to be strictly tested and corrected to ensure that it meets the needs of subsequent processing and application.

[0109] Preferably, in the MapGis system, the corrected contour graph is vectorized by using the "vectorization" function. A suitable vectorization algorithm (such as semi-automatic vectorization) is selected to identify and extract the contour lines in the image. By adjusting the parameter settings such as line width, color, etc., it is ensured that the vectorized contour lines are clear and accurate.

[0110] Optionally, in this embodiment, attribute assignment operation is performed on the subatomic radiation anomaly contour vectorized line file.

[0111] Specifically, this step is an attribute assignment process, and by adding attribute information such as coordinates and anomaly values, the connotation and expressiveness of the vector data can be enriched, thereby providing stronger support for the application of the vector data in the GIS system.

[0112] Preferably, the attribute editing function of the MapGis system is used to add coordinate and radiant flux attribute values to the vectorized contour lines. The pixel values of the original image or other data sources are read to assign corresponding attribute values to each contour line.

[0113] It can be understood that the radiant flux attribute value is an index of quantifying the radiation intensity. By measuring the radiant energy (i.e., radiant flux) through a certain section per unit time, the intensity distribution of the radiation anomaly can be accurately recorded, providing a basis for subsequent data processing and analysis. The radiant flux attribute value can serve as reference information to help adjust the spatial position and shape of the image. The coordinate attribute value can be matched with the actual geographic coordinates, serving as one of the verification indices of the correction effect.

[0114] In terms of effect, the addition of the radiant flux attribute value can serve as an important parameter for spatial data integration. By integrating the radiant flux data with other geographic spatial data (such as terrain, topography, vegetation, etc.), a more comprehensive geographic information system can be constructed, providing strong support for resource evaluation, mineral prediction, etc. In the analysis of terrain such as slope and slope direction, the radiant flux data can be combined to evaluate the radiation distribution law under different terrain conditions; in the hydrological analysis, the radiant flux data can be used to study the absorption, reflection, and transmission characteristics of water bodies to radiation.

[0115] Optionally, in this embodiment, the subatomic radiation anomaly contour line assignment graph obtained after the attribute assignment operation is subjected to a point attribute export operation to determine the corresponding subatomic radiation anomaly contour line digital file.

[0116] Specifically, this step is a digitization process that exports the vectorized contour line data to a file format (such as dxf) for subsequent processing and application.

[0117] As an example, assuming that the subatomic radiation anomaly contour line coordinate graph is converted to a digital form in the MapGis system, the steps include:

[0118] 1. In the MapGis system, an engineering file is established through "image processing" "input editing", and the radiation anomaly contour line graph msi file after image correction is added to the engineering file.

[0119] 2. In the engineering file, the msi file is vectorized through the "vectorization" function, and the vectorized line file is saved.

[0120] 3. The "automatic attribute attachment" function of the auxiliary tool of the MapGis system is used to attach the radiant flux attribute value to the vectorized line file.

[0121] 4. Through the auxiliary tool of MapGis system, the coordinate is given to the point attribute by using the function of "point position to attribute";

[0122] 5. Through the auxiliary tool of MapGis system, the coordinate and the radiation flux attribute value of the discrete point are exported to the excel file by using the function of "exporting point attribute", and the digitalization of the radiation anomaly contour picture is completed.

[0123] Optionally, in the embodiment, the geophysical data visualization operation is performed according to the subatomic radiation anomaly contour digital file, and the corresponding three-dimensional visualization graph is determined. This step is a key step of visualization using the digital file.

[0124] Specifically, first, the spatial analysis and gridding processing of the digital file are performed by using the digital terrain model, and the subatomic radiation anomaly contour digital file is further drawn into the contour map to generate a high-quality digital contour map.

[0125] More specifically, the spatial analysis refers to the technology and method of extracting spatial position, spatial distribution, spatial form, and spatial relationship (such as distance, orientation, topological relationship, etc.) information of geographic objects from spatial data, and describing, recognizing, interpreting, and predicting these information. DTM is a form of digital terrain model, which simulates and represents the form of the earth's surface through a series of elevation points or elevation surfaces.

[0126] The data gridding processing refers to dividing continuous terrain data into a series of regular or irregular shaped grid cells, each of which contains information about the terrain characteristics of the region. This processing method has several important advantages:

[0127] Simplify data processing: By converting complex continuous terrain data into discrete grid cells, the storage, processing, and analysis process of data can be greatly simplified.

[0128] Improve computing efficiency: On the gridded terrain, many spatial analysis operations (such as slope, slope direction calculation, hydrological analysis, etc.) can be more efficiently performed, because each grid cell can be treated as an independent computing unit.

[0129] Support visualization: Gridded terrain data provides a basis for terrain visualization, through different colors, heights or other visual elements, the ups and downs and changes of the terrain can be intuitively displayed.

[0130] Preferably, in the digital terrain model subsystem of MapGis, the vectorized contour data is loaded. The "DTM analysis" function in the "spatial analysis" module is used to perform gridding processing on the data. The appropriate grid size and resolution (such as 50m x 50m) are set to generate a high-quality digital contour grid map.

[0131] Specifically, after obtaining the subatomic radiation anomaly contour grid map, the network map is a plane map, but in the process of the above digitization, the picture will present different shades of ellipse from large to small linearly around the peak of the center ellipse according to the severity of the anomaly, and a profile is cut at the peak of the center ellipse to restore the profile distribution characteristics of the map. At this time, the occurrence characteristics of the target geophysical data, i.e., the dip and inclination of the target material, can be obtained according to the profile distribution characteristics.

[0132] Dip refers to the projection on the horizontal plane of the inclined line perpendicular to the intersection line (strike line) of the rock layer surface and the horizontal plane and leading downward along the inclined surface. Dip indicates the direction in which the rock layer is inclined, and is the direction of the rock layer inclination. The azimuth angle of the dip has only one direction, indicating the inclination direction of the rock layer.

[0133] Inclination refers to the angle between the inclined line on the layer surface and its projection on the horizontal plane, also known as true inclination. The size of the inclination indicates the degree of inclination of the rock layer, and the range of variation is between 0° and 90°.

[0134] It can be understood that when measuring the occurrence, the dip and inclination are usually recorded, and the two parameters together can describe the spatial orientation.

[0135] For example, if in the profile line, the anomaly profile curve presents the characteristics of steep left branch and gentle right branch, it indicates that the target body (ore body) is right-dipping, and the angle between the tangent to the right branch curve and the horizontal line is approximately the approximate inclination θ of the target body (ore body).

[0136] Specifically, after obtaining the dip and inclination of the target material, the dip angle direction and the perpendicular inclination direction are determined respectively. The subatomic field generator continues to irradiate the original negative from these two directions respectively to obtain the dip angle direction and the perpendicular inclination direction subatomic radiation anomaly film. The film can be processed again to obtain two contour radiation images. The specific contour image processing steps are the same as the aforementioned steps S101 and S102, and will not be described again.

[0137] At this time, three contour radiation images are obtained, which are the geophysical data vertical radiation image, the geophysical data vertical inclination radiation image, and the geophysical data parallel inclination radiation image. Among them, the geophysical data vertical radiation image is the image obtained by processing for the first time, i.e., obtained by irradiating the negative from the vertical direction.

[0138] More specifically, the left vertex A1, the right vertex A2, and the center point O1 of the geophysical data vertical radiation image;

[0139] The left vertex B1, the right vertex B2, and the center point O2 of the geophysical data vertical inclination radiation image;

[0140] The left vertex C1, the right vertex C2 and the center point O3 of the parallel dip radiometric image of the geophysical data;

[0141] The distance D1 between A1 and B1 is calculated according to the actual coordinates of A1 and B1, and the roof buried depth H1 of the ore body is D1 / tg(θ).

[0142] The distance D2 between A2 and B2 is calculated according to the actual coordinates of A2 and B2, and the floor buried depth H2 of the ore body is D2 / tg(θ).

[0143] The distance D between O1 and O2 is calculated according to the actual coordinates of O1 and O2, and the center buried depth H of the ore body is D / tg(θ).

[0144] As described above, according to the moving characteristics of the two radiometric anomalies, the roof buried depth H1, the center buried depth H and the floor buried depth H2 of the target body (ore body) can be calculated.

[0145] According to the distance D3 between the left vertex C1 and the right vertex C2 of the parallel dip radiometric image of the target substance, the thickness T of the target body (ore body) can be roughly inferred.

[0146] The parallel dip radiometric image of the target substance is obtained by directly radiating the target substance body along the dip direction, and the distance between the elliptical vertices can be inferred as the thickness of the ore body.

[0147] For example, the three-dimensional visualization scheme is as follows:

[0148] 1. Apply subatomic (muon) radiation vertically to the original negative to obtain the vertical radiometric anomaly distribution contour map. After digitizing, the anomaly distribution contour map is cut to obtain the dip and dip angle of the deep ore body reflected by the anomaly.

[0149] 2. According to the dip angle of the ore body obtained in the first step, apply a radiation along the dip angle of the ore body and a radiation along the vertical dip angle of the ore body on both sides of the vertical incidence. Different radiometric anomalies are obtained by radiating in three directions.

[0150] 3. According to the geometric distribution rule (translation of anomaly) of the three-direction radiometric anomaly, the characteristic parameters of the ore deposit are calculated: the roof, floor and center buried depth of the ore body are calculated by the geometric position relationship between the vertical negative radiometric anomaly and the vertical dip angle radiometric anomaly; the approximate thickness of the ore body is inferred by the dip angle radiometric anomaly.

[0151] It can be understood that the occurrence and occurrence depth of the target body (ore body) are calculated by the radiometric anomaly distribution characteristics at different angles, which has a simpler calculation process, higher accuracy, overcomes the limitations and multiple solutions of the geophysical depth three-dimensional visualization calculation, and improves the accuracy of the results.

[0152] This example demonstrates how the present embodiments enable geophysical data visualization based on subatomic characteristics fusion data processing.

[0153] From the above description, the method for geophysical data visualization based on subatomic radiation characteristics provided by the embodiments of the present application can obtain a subatomic radiation anomaly film, perform contour line drawing operation on the subatomic radiation anomaly map according to a preset spatial distribution feature, determine a corresponding subatomic radiation anomaly contour line map, perform data fusion operation according to a preset data fusion algorithm, determine a corresponding subatomic radiation anomaly contour line coordinate map, perform attribute assignment operation on the subatomic radiation anomaly contour line coordinate map, perform point attribute export operation on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation, determine a corresponding subatomic radiation anomaly contour line digital file, perform geophysical data visualization operation according to the subatomic radiation anomaly contour line digital file, and determine a corresponding three-dimensional visualization map. In this way, the efficiency and accuracy of geophysical information visualization can be improved based on subatomic radiation anomaly information of matter.

[0154] In an embodiment of the method for geophysical data visualization based on subatomic radiation characteristics of the present application, referring to Figure 2 The method can further include the following contents:

[0155] Step S201: Perform contour line interval selection operation according to a preset spatial distribution feature, and determine a corresponding contour line interval.

[0156] Step S202: Perform contour line drawing operation according to the contour line interval and a preset color coding scheme, and determine a corresponding subatomic radiation anomaly contour line map.

[0157] Optionally, in the present embodiment, the contouring process is a process of converting continuous data in a radiation anomaly image into discrete contour lines. The key lies in selecting a suitable contour line generation algorithm and parameter setting. When generating contour lines, a suitable contour line interval and color coding scheme need to be set according to the intensity and variation trend of the spatial distribution feature of the radiation anomaly. By adjusting these parameters, a clear and intuitive contour line map can be generated, so as to better show the distribution rule and variation trend of the radiation anomaly.

[0158] In addition, attention also needs to be paid to the smoothness and continuity of the contour lines in the contouring process. By using interpolation algorithms and filtering techniques, the generated contour lines can have good smoothness and continuity, thereby improving the readability and aesthetic degree of the image.

[0159] Preferably, the contouring process is performed using the Surf plotting program. The Surf program has powerful graphics processing capabilities, supporting various contour generation algorithms and parameter settings. In the Surf program, open the radiation anomaly image obtained by scanning. Use the "contour" function to select the appropriate contour interval (such as 5 units) and color coding scheme (such as blue to red to represent the radiation intensity from low to high). By adjusting the algorithm parameters, such as smoothness and continuity threshold, ensure that the generated contour is both accurate and beautiful. The generated subatomic radiation anomaly contour map is exported as a picture format (such as png) for subsequent processing.

[0160] Through step S202, the embodiment obtains a subatomic radiation anomaly map with contour information, laying a solid foundation for subsequent geophysical data three-dimensional visualization.

[0161] In an embodiment of the geophysical data visualization method based on subatomic radiation characteristics according to the present application, referring to Figure 3 It can also specifically include the following contents:

[0162] Step S301: Control point information selection operation is performed on the preset region coordinates to determine the corresponding control points.

[0163] Step S302: Data fusion operation is performed on the control points and the subatomic radiation anomaly contour conversion map according to the polynomial fitting algorithm to determine the corresponding subatomic radiation anomaly contour coordinate map.

[0164] Optionally, in the embodiment, the control point information selection is performed by selecting a sufficient number of control points and uniformly distributing them to accurately correct the image. In the correction process, the least square method or the polynomial fitting algorithm is used to ensure that the corrected image has high accuracy and reliability.

[0165] For example, there is a subatomic radiation anomaly contour map that needs to be fused, and the specific fusion steps are as follows:

[0166] 1. In the MapGis system, the radiation anomaly contour picture is converted into an msi file through the "image processing" "image analysis" "data conversion" function;

[0167] 2. In the MapGis system, a new project file is established through "image processing" "input editing", and a work area line file is created in the project file by known block coordinates;

[0168] 3. In the MapGis system, through the "image processing", "image analysis", "mosaic fusion", open the created msi file, select the block line file as the reference file, through the addition of control points, correct and control the radiation anomaly contour map msi file, and finally generate the corrected radiation anomaly contour map msi file as the raster data with coordinate properties.

[0169] It can be understood that the image correction is to ensure the geographical coordinate accuracy of the contour map, which is crucial for subsequent visualization analysis.

[0170] Through step S302, the embodiment realizes the coordinate correction of the subatomic radiation anomaly contour, and lays a solid data foundation for subsequent visualization analysis.

[0171] In an embodiment of the geophysical data visualization method based on the subatomic radiation characteristics in the application, referring to Figure 4 It can also specifically include the following contents:

[0172] Step S401: Perform radiation flux attribute value assignment operation on the subatomic radiation anomaly contour vectorization line file.

[0173] Step S402: Perform coordinate point attribute assignment operation on the subatomic radiation anomaly contour vectorization line file.

[0174] Optionally, by adding attribute information such as coordinates and anomaly values, the connotation and expressiveness of the vector data can be enriched, thereby providing stronger support for its application in the GIS system.

[0175] Preferably, the "attribute editing" function of the MapGis system is used to add coordinate and radiation flux attribute values and other attribute information to the vectorized contour. By reading the pixel value of the original image or using other data sources, each contour is given a corresponding attribute value.

[0176] For example:

[0177] Through the auxiliary tool of the MapGis system, the "automatic attribute attachment" function is used to attach the radiation flux attribute value to the vectorized line file.

[0178] Through the auxiliary tool of the MapGis system, the "point position to attribute" function is used to assign coordinates to the point attribute.

[0179] Through step S402, the embodiment successfully assigns attribute values to the vector file, thereby providing stronger support for its application in the GIS system.

[0180] In an embodiment of the geophysical data visualization method based on the subatomic radiation characteristics in the application, referring to Figure 5It can also specifically include the following content:

[0181] Step S501: According to the preset subatomic field generator, the original geophysical data film is subjected to radiation operation;

[0182] Step S502: According to the preset photosensitive film, the subatomic radiation resonance obtained after the radiation operation is determined to correspond to the subatomic radiation anomaly film.

[0183] Optionally, in the embodiment, the original geophysical data film is a remote sensing satellite original film customized according to the specific requirements of the exploration purpose, such as the type, resolution, waveband, and time resolution of the required satellite data.

[0184] Specifically, set the scale, customize the film of different scales according to the exploration needs. This involves extracting and synthesizing images of different scales from high-resolution satellite data. Professional software (such as ERDAS IMAGINE, ArcGIS, etc.) is used for image scaling, cropping, and splicing to meet the needs of different scales.

[0185] Specifically, set the shooting angle, take a film every 3° within the range of 0-180°, and ensure that the satellite can adjust its shooting angle to cover the entire range. Considering the limitations of satellite orbit and attitude control, multiple passes or the combination of data from multiple satellites are required to complete this requirement.

[0186] Specifically, set the time period, customize a film every 30 minutes for 24 hours a day. This requires the satellite to have high-frequency revisit capability or use multiple satellites for coordinated observation. Ensure that the satellite can take stable shots within the specified time period and record the exact time of each shot.

[0187] Specifically, set the waveband, customize the film of five wavebands: radio frequency, optical, short-wave infrared, long-wave infrared, and ultraviolet. This requires the satellite to have multi-spectral or hyperspectral imaging capability. According to the waveband coverage of the satellite, select the closest waveband to the requirement for data collection.

[0188] In summary, by different scales, different shooting angles, different time periods, and different wavebands, accurate original geophysical data films can be obtained.

[0189] Optionally, in this embodiment, after obtaining the geophysical data original film, the information carrier of the original film is irradiated by a subatomic field generator, and a subatomic radiation anomaly film is obtained through the subatomic resonance principle. The subatomic field generator is composed of two nested coils. The output of one coil is connected to a DC power supply with a voltage of 12V, and the output of the other coil is connected to an AC power supply with a voltage of 220V. It can be understood that different energy levels of radiation have different penetration capabilities and response characteristics for different types of geological structures or mineral compositions. By adjusting the radiation energy level, the explorer can more accurately target the target stratum or mineral for detection, reducing false positives and omissions, and improving the accuracy of exploration results. The microlepton radiation generated by the two coils has different characteristics, such as frequency, wavelength, or phase. This diversity can enhance the signal recognition ability and improve the differentiation of different geological structures during exploration. The effect of microlepton radiation on the information carrier can improve the quality and contrast of the final imaging, making the visualization of the ore body better, thereby improving the researchers' understanding of the underground structure.

[0190] The information carrier is preferably selected from photographic paper or film.

[0191] Through step S502, the subatomic radiation anomaly film is successfully obtained, laying a solid foundation for subsequent digital processing of the film to realize three-dimensional visualization.

[0192] In an embodiment of the geophysical data visualization method based on the subatomic radiation characteristics provided in the present application, referring to Figure 6 It can also specifically include the following content:

[0193] Step S601: According to the preset digital terrain model, the contour data in the subatomic radiation anomaly contour digital file is grid processed to determine the corresponding subatomic radiation anomaly contour grid map;

[0194] Step S602: According to the subatomic radiation anomaly contour grid map, the geophysical data visualization operation is determined to determine the corresponding three-dimensional visualization map.

[0195] Optionally, the digital terrain model is used for spatial analysis and grid processing of the digital file, and the subatomic radiation anomaly contour digital file is further drawn into a contour map to generate a high-quality digital contour map.

[0196] Specifically, spatial analysis refers to the use of analytical models to extract information about the spatial location, spatial distribution, spatial form, and spatial relationships (such as distance, orientation, and topological relationships) of geographic objects from spatial data, and to describe, recognize, interpret, and predict these information. DTM is a form of digital terrain model, which simulates and represents the shape of the earth's surface through a series of elevation points or surfaces.

[0197] Data gridding refers to the process of dividing continuous terrain data into a series of regular or irregular grid cells, each containing information about the terrain characteristics of the area. This approach has several important advantages:

[0198] Simplify data processing: By converting complex continuous terrain data into discrete grid cells, data storage, processing, and analysis can be greatly simplified.

[0199] Improve computational efficiency: On gridded terrain, many spatial analysis operations (such as slope, slope direction calculation, hydrological analysis, etc.) can be more efficient, as each grid cell can be treated as an independent computing unit.

[0200] Support visualization: Gridded terrain data provides a basis for terrain visualization, allowing the ups and downs of the terrain to be visually displayed through different colors, heights, or other visual elements.

[0201] Preferably, in the digital terrain model subsystem of MapGis, load the vectorized contour data. Use the "DTM analysis" function in the "spatial analysis" module to perform gridding on the data. Set appropriate grid size and resolution (such as 50m x 50m) to generate high-quality digital contour grid map.

[0202] Through step S602, the embodiment successfully performs grid processing on the digital file, laying the foundation for subsequent three-dimensional visualization.

[0203] In an embodiment of the geophysical data visualization method based on subatomic radiation characteristics provided in the present application, referring to Figure 7 It can also specifically include the following content:

[0204] Step S701: Perform profile cutting operation on the subatomic radiation anomaly contour grid map, and determine the corresponding subatomic radiation anomaly inclination and subatomic radiation anomaly dip angle according to the profile map obtained by the profile cutting operation;

[0205] Step S702: Determine the corresponding three-dimensional visualization map according to the subatomic radiation anomaly inclination and the subatomic radiation anomaly dip angle.

[0206] Optionally, in this embodiment, after obtaining the subatomic radiation anomaly contour grid map, the network diagram is a plane diagram, but during the above-mentioned digitization process, the picture will present an oval with different depths from large to small, which is linearly surrounded, according to the severity of the anomaly, and a profile is cut at the peak of the central oval to restore the profile distribution characteristics of the diagram. At this time, according to the profile distribution characteristics, the occurrence characteristics of the target geophysical data, that is, the dip and inclination of the target material, can be obtained.

[0207] Dip refers to the direction indicated by the projection on the horizontal plane of the inclined line that is perpendicular to the intersection line (strike line) of the rock layer surface and the horizontal plane and is led downward along the inclined surface. Dip indicates the direction in which the rock layer is inclined, which is the direction of the rock layer inclination. The azimuth angle of the dip has only one direction, which indicates the inclination direction of the rock layer.

[0208] Inclination refers to the angle between the inclined line on the layer surface and its projection on the horizontal plane, also known as the true inclination. The size of the inclination indicates the degree of inclination of the rock layer, which changes in the range of 0° to 90°.

[0209] It can be understood that when measuring the occurrence, the dip and the inclination are usually recorded, and the two parameters together can describe the spatial orientation.

[0210] For example, if in the profile line, the anomaly profile curve presents the characteristics of steep left branch and gentle right branch, it indicates that the target body (ore body) is right-dipping, and the angle between the tangent line of the right branch curve and the horizontal line is approximately the approximate inclination θ of the target body (ore body).

[0211] Through the S702 step, the dip and the inclination of the target geophysical data are successfully obtained according to the subatomic radiation anomaly contour grid map in this embodiment, which lays a solid foundation for subsequent realization of three-dimensional visualization.

[0212] In an embodiment of the geophysical data visualization method based on the subatomic radiation characteristics in the present application, referring to Figure 8 It can also specifically include the following contents:

[0213] Step S801: performing a radiation operation on the geophysical data original negative according to the subatomic field generator and the subatomic radiation anomaly inclination to determine corresponding geophysical data vertical inclination radiation images and geophysical data parallel inclination radiation images;

[0214] Step S802: performing a vertical radiation operation on the geophysical data original negative according to the subatomic field generator to determine corresponding geophysical data vertical radiation images;

[0215] Step S803: determining a corresponding three-dimensional visualization image according to the geophysical data vertical radiation image, the geophysical data vertical dip angle radiation image and the geophysical data parallel dip angle radiation image.

[0216] Optionally, in the embodiment, after the tendency and the dip angle of the target substance are obtained, the in-dip angle direction and the vertical dip angle direction are determined respectively. The original negative is continuously radiated from the two directions by the subatomic field generator respectively to obtain the in-dip angle subatomic radiation anomaly negative and the vertical dip angle subatomic radiation anomaly negative. The negatives can be processed respectively to obtain two contour radiation images. The specific contour image processing steps are the same as the steps S101 and S102, and will not be described again.

[0217] At this time, three contour radiation images are obtained, which are the geophysical data vertical radiation image, the geophysical data vertical dip angle radiation image and the geophysical data parallel dip angle radiation image.

[0218] Through the step S803, the three contour anomaly images are successfully obtained in the embodiment, which lays a solid data foundation for the subsequent computer processing to realize the three-dimensional visualization.

[0219] In an embodiment of the geophysical data visualization method based on the subatomic radiation characteristics in the application, referring to Figure 9 The method can further include the following contents:

[0220] Step S901: determining a corresponding geophysical data burial depth according to the geophysical data vertical radiation image and the geophysical data vertical dip angle radiation image, and determining a corresponding geophysical data thickness according to the geophysical data parallel dip angle radiation image;

[0221] Step S902: determining a corresponding three-dimensional visualization image according to the geophysical data burial depth and the geophysical data thickness.

[0222] Optionally, in the embodiment, the left top point A1, the right top point A2 and the center point O1 of the geophysical data vertical radiation image;

[0223] the left top point B1, the right top point B2 and the center point O2 of the geophysical data vertical dip angle radiation image;

[0224] the left top point C1, the right top point C2 and the center point O3 of the geophysical data parallel dip angle radiation image;

[0225] The distance D1 between the points A1 and B1 is calculated according to the actual coordinates of the points A1 and B1, and the roof burial depth H1 of the ore body is D1 / tg(θ).

[0226] According to the actual coordinates of A2, B2 points, the distance D2 between A2 and B2 is calculated, and the floor depth H2 of the ore body is D2 / tg(θ).

[0227] According to the actual coordinates of O1, O2 points, the distance D between O1 and O2 is calculated, and the center point depth H of the ore body is D / tg(θ).

[0228] As described above, according to the moving characteristics of the two radiation anomalies, the roof depth H1, the center point depth H, and the floor depth H2 of the target body (ore body) can be calculated.

[0229] According to the distance D3 between the left vertex C1 and the right vertex C2 of the parallel inclination radiation image of the target substance, the thickness T of the target body (ore body) can be roughly inferred.

[0230] The parallel inclination radiation image of the target substance is obtained by directly projecting from the target substance body along the inclination direction, and the distance between the elliptical vertices can be inferred as the thickness of the ore body.

[0231] For example, the three-dimensional visualization scheme is as follows:

[0232] 1. Apply subatomic (muon) radiation vertically to the original negative to obtain a vertical radiation anomaly distribution contour map. After digitizing, the anomaly distribution contour map is cut into sections to calculate the inclination and dip angle of the deep ore body reflected by the anomaly.

[0233] 2. According to the ore body dip angle calculated in the first step, apply a radiation according to the ore body dip angle on both sides of the vertical incidence, and a radiation according to the vertical ore body dip angle. Through the radiation in three directions, the anomaly distribution in different radiation directions is obtained.

[0234] 3. According to the geometric distribution rule (translation of anomaly) of the radiation anomaly in three directions, the characteristic parameters of the ore deposit are calculated: the roof, floor, and center depth of the ore body are calculated through the geometric position relationship between the vertical negative radiation anomaly and the vertical ore body dip angle radiation anomaly; the approximate thickness of the ore body is inferred through the ore body dip angle radiation anomaly.

[0235] It can be understood that the occurrence and occurrence depth of the target body (ore body) are calculated by the radiation anomaly distribution characteristics at different angles, the calculation process is simpler, the accuracy is higher, the limitations and multi-solution of the geophysical depth inversion calculation are overcome, and the accuracy of the results is improved.

[0236] Through the S902 step, the three-dimensional visualization of the target geophysical data is successfully realized.

[0237] In order to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information, the application provides an embodiment of a geophysical data visualization device based on subatomic radiation characteristics for implementing all or part of the contents of the geophysical data visualization method based on subatomic radiation characteristics, as shown in Figure 10 The geophysical data visualization device based on subatomic radiation characteristics specifically includes the following contents:

[0238] The contour anomaly map drawing module 10 is used for obtaining a subatomic radiation anomaly film, performing a scanning operation on the subatomic radiation anomaly film, determining a corresponding subatomic radiation anomaly map, performing a contour drawing operation on the subatomic radiation anomaly map according to a preset spatial distribution feature, and determining a corresponding subatomic radiation anomaly contour map.

[0239] The contour coordinate map drawing module 20 is used for performing a data conversion operation on the subatomic radiation anomaly contour map according to a preset data conversion mode, determining a corresponding subatomic radiation anomaly contour conversion map, performing a data fusion operation on the subatomic radiation anomaly contour conversion map and a preset regional coordinate according to a preset data fusion algorithm, and determining a corresponding subatomic radiation anomaly contour coordinate map.

[0240] The three-dimensional visualization module 30 is used for performing a vectorization operation on the subatomic radiation anomaly contour coordinate map, determining a corresponding subatomic radiation anomaly contour vectorization line file, performing an attribute assignment operation on the subatomic radiation anomaly contour vectorization line file, performing a point attribute export operation on the subatomic radiation anomaly contour assignment map obtained after the attribute assignment operation, determining a corresponding subatomic radiation anomaly contour digital file, performing a geophysical data visualization operation according to the subatomic radiation anomaly contour digital file, and determining a corresponding three-dimensional visualization map.

[0241] As can be seen from the above description, the geophysical data visualization device based on subatomic radiation characteristics provided by the embodiments of the application can obtain a subatomic radiation anomaly film, perform a contour drawing operation on a subatomic radiation anomaly map according to a preset spatial distribution feature, determine a corresponding subatomic radiation anomaly contour map, perform a data fusion operation according to a preset data fusion algorithm, determine a corresponding subatomic radiation anomaly contour coordinate map, perform an attribute assignment operation on the subatomic radiation anomaly contour coordinate map, perform a point attribute export operation on the subatomic radiation anomaly contour assignment map obtained after the attribute assignment operation, determine a corresponding subatomic radiation anomaly contour digital file, perform a geophysical data visualization operation according to the subatomic radiation anomaly contour digital file, and determine a corresponding three-dimensional visualization map. Thus, the efficiency and accuracy of geophysical information visualization can be improved based on material subatomic radiation anomaly information.

[0242] In order to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information from the hardware level, the application provides an embodiment of an electronic device for implementing all or part of the content of the geophysical data visualization method based on subatomic radiation characteristics. The electronic device specifically includes the following content:

[0243] A processor, a memory, a communications interface, and a bus; wherein the processor, the memory, the communications interface, and the bus complete mutual communication; the communications interface is used to realize information transmission between the geophysical data visualization method based on subatomic radiation characteristics and related devices such as core business systems, user terminals, and related databases; the logic controller can be a desktop computer, a tablet computer, a mobile terminal, and the like, and the embodiment is not limited thereto. In the embodiment, the logic controller can refer to the embodiment of the geophysical data visualization method based on subatomic radiation characteristics, and the embodiment of the geophysical data visualization method based on subatomic radiation characteristics, the contents of which are incorporated herein, and the repeated parts will not be described.

[0244] It can be understood that the user terminal can include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, and the like. The smart wearable device can include smart glasses, a smart watch, a smart bracelet, and the like.

[0245] In actual application, part of the geophysical data visualization method based on subatomic radiation characteristics can be executed on the electronic device as described above, or all operations can be completed in the client device. Specifically, the selection can be made according to the processing capacity of the client device and the limitation of the user use scenario, and the like. The application does not limit this. If all operations are completed in the client device, the client device can further include a processor.

[0246] The above-mentioned client device can have a communication module (i.e., a communication unit) and can be communicatively connected with a remote server to realize data transmission with the server. The server can include a server on the task scheduling center side, and other implementation scenarios can also include a server of an intermediate platform, such as a server of a third-party server platform communicatively connected with the task scheduling center server. The server can include a single computer device, a server cluster composed of multiple servers, or a server structure of a distributed device.

[0247] Figure 11Schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Figure 11 As shown, the electronic device 9600 may include a central processing unit 9100 and a memory 9140; the memory 9140 is coupled to the central processing unit 9100. It is worth noting that the Figure 11 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0248] In one embodiment, the geophysical data visualization method based on subatomic radiation characteristics may be integrated into the central processing unit 9100. The central processing unit 9100 may be configured to perform the following control:

[0249] Step S101: obtaining a subatomic radiation anomaly film, scanning the subatomic radiation anomaly film to determine a corresponding subatomic radiation anomaly map, and performing a contour drawing operation on the subatomic radiation anomaly map according to preset spatial distribution characteristics to determine a corresponding subatomic radiation anomaly contour map;

[0250] Step S102: performing a data conversion operation on the subatomic radiation anomaly contour map according to a preset data conversion method to determine a corresponding subatomic radiation anomaly contour conversion map; performing a data fusion operation on the subatomic radiation anomaly contour conversion map and preset regional coordinates according to a preset data fusion algorithm to determine a corresponding subatomic radiation anomaly contour coordinate map;

[0251] Step S103: performing a vectorization operation on the subatomic radiation anomaly contour line coordinate map, determining a corresponding subatomic radiation anomaly contour line vectorization line file, performing an attribute assignment operation on the subatomic radiation anomaly contour line vectorization line file, and performing a point attribute export operation on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation, determining a corresponding subatomic radiation anomaly contour line digital file, performing a geophysical data visualization operation based on the subatomic radiation anomaly contour line digital file, and determining a corresponding three-dimensional visualization map.

[0252] As can be seen from the above description, the electronic device provided by the embodiment of the application can obtain the subatomic radiation abnormal film, perform contour line drawing operation on the subatomic radiation abnormal film according to the preset spatial distribution characteristics, determine the corresponding subatomic radiation abnormal contour line map, perform data fusion operation according to the preset data fusion algorithm, determine the corresponding subatomic radiation abnormal contour line coordinate map, perform attribute assignment operation on the subatomic radiation abnormal contour line coordinate map, perform point attribute export operation on the subatomic radiation abnormal contour line assignment map obtained after the attribute assignment operation, determine the corresponding subatomic radiation abnormal contour line digital file, perform geophysical data visualization operation according to the subatomic radiation abnormal contour line digital file, and determine the corresponding three-dimensional visualization map. In this way, the efficiency and accuracy of geophysical information visualization can be improved based on the subatomic radiation abnormal information of matter.

[0253] In another embodiment, the geophysical data visualization method based on subatomic radiation characteristics can be configured separately from the central processor 9100, for example, the geophysical data visualization method based on subatomic radiation characteristics can be configured as a chip connected with the central processor 9100, and the function of the geophysical data visualization method based on subatomic radiation characteristics is realized through the control of the central processor.

[0254] As shown in Figure 11 , the electronic device 9600 can also include a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It should be noted that the electronic device 9600 does not necessarily include all the components shown in Figure 11 ; in addition, the electronic device 9600 can also include components not shown in Figure 11 , which can refer to prior art.

[0255] As shown in Figure 11 , the central processor 9100, also known as a controller or operation control, can include a microprocessor or other processor device and / or logic device, which receives input and controls the operation of various components of the electronic device 9600.

[0256] The memory 9140, for example, can be one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The above information related to failure can be stored, and in addition, programs for executing related information can also be stored. The central processor 9100 can execute the programs stored in the memory 9140 to realize information storage or processing, etc.

[0257] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is for supplying power to the electronic device 9600. The display 9160 is for displaying display objects such as images and characters. The display is, for example, an LCD display, but is not limited thereto.

[0258] The memory 9140 can be a solid-state memory such as a read only memory (ROM), a random access memory (RAM), a SIM card, and the like. It can also be a memory that retains information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes referred to as an EPROM or the like. The memory 9140 can also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 can include an application / function storage section 9142 for storing application programs and function programs or a flow for executing the operation of the electronic device 9600 by the central processing unit 9100.

[0259] The memory 9140 can also include a data storage section 9143 for storing data such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. A driver storage section 9144 of the memory 9140 can include various drivers of the electronic device for a communication function and / or for performing other functions of the electronic device such as a messaging application, an address book application, and the like.

[0260] The communication module 9110 is a transmitter / receiver that transmits and receives signals via an antenna 9111. The communication module 9110 is coupled to the central processing unit 9100 to provide input signals and receive output signals, which can be the same as in the case of a conventional mobile communication terminal.

[0261] Based on different communication technologies, a plurality of communication modules 9110 can be provided in the same electronic device, such as a cellular network module, a Bluetooth module, and / or a wireless local area network module, and the like. The communication module 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing a conventional telecommunication function. The audio processor 9130 can include any suitable buffer, decoder, amplifier, and the like. In addition, the audio processor 9130 is also coupled to the central processing unit 9100, thereby enabling recording on the local by the microphone 9132 and playing back stored sound on the local by the speaker 9131.

[0262] The embodiment of the present application also provides a computer readable storage medium capable of realizing all steps of the geophysical data visualization method based on the subatomic radiation characteristics in the above-mentioned embodiment, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize all steps of the geophysical data visualization method based on the subatomic radiation characteristics in the above-mentioned embodiment, for example, the steps executed by the processor include the following steps:

[0263] Step S101: Obtain a subatomic radiation anomaly film, perform a scanning operation on the subatomic radiation anomaly film to determine a corresponding subatomic radiation anomaly graph, perform an isogram drawing operation on the subatomic radiation anomaly graph according to a preset spatial distribution feature, and determine a corresponding subatomic radiation anomaly isogram.

[0264] Step S102: Perform a data conversion operation on the subatomic radiation anomaly isogram according to a preset data conversion mode, determine a corresponding subatomic radiation anomaly isogram conversion graph, perform a data fusion operation on the subatomic radiation anomaly isogram conversion graph and a preset region coordinate according to a preset data fusion algorithm, and determine a corresponding subatomic radiation anomaly isogram coordinate graph.

[0265] Step S103: Perform a vectorization operation on the subatomic radiation anomaly isogram coordinate graph, determine a corresponding subatomic radiation anomaly isogram vectorization line file, perform an attribute assignment operation on the subatomic radiation anomaly isogram vectorization line file, perform a point attribute export operation on a subatomic radiation anomaly isogram assignment graph obtained after the attribute assignment operation, determine a corresponding subatomic radiation anomaly isogram digital file, perform a geophysical data visualization operation according to the subatomic radiation anomaly isogram digital file, and determine a corresponding three-dimensional visualization graph.

[0266] As known from the above description, the computer readable storage medium provided by the embodiment of the present application can obtain a subatomic radiation anomaly film, perform an isogram drawing operation on a subatomic radiation anomaly graph according to a preset spatial distribution feature to determine a corresponding subatomic radiation anomaly isogram, perform a data fusion operation according to a preset data fusion algorithm to determine a corresponding subatomic radiation anomaly isogram coordinate graph, perform an attribute assignment operation on the subatomic radiation anomaly isogram coordinate graph, perform a point attribute export operation on a subatomic radiation anomaly isogram assignment graph obtained after the attribute assignment operation to determine a corresponding subatomic radiation anomaly isogram digital file, perform a geophysical data visualization operation according to the subatomic radiation anomaly isogram digital file to determine a corresponding three-dimensional visualization graph, so that the efficiency and accuracy of geophysical information visualization can be improved based on subatomic radiation anomaly information of matter.

[0267] The embodiment of the present application also provides a computer program product capable of implementing all steps in the above-mentioned geophysical data visualization method based on subatomic radiation characteristics, wherein the execution subject in the above-mentioned embodiment is a server or a client, and the computer program / instruction is executed by a processor to implement the steps of the above-mentioned geophysical data visualization method based on subatomic radiation characteristics, for example, the computer program / instruction implements the following steps:

[0268] Step S101: Obtain a subatomic radiation anomaly film, perform a scanning operation on the subatomic radiation anomaly film, determine a corresponding subatomic radiation anomaly graph, perform an isogram drawing operation on the subatomic radiation anomaly graph according to a preset spatial distribution feature, and determine a corresponding subatomic radiation anomaly isogram.

[0269] Step S102: Perform a data conversion operation on the subatomic radiation anomaly isogram according to a preset data conversion mode, determine a corresponding subatomic radiation anomaly isogram conversion graph, perform a data fusion operation on the subatomic radiation anomaly isogram conversion graph and a preset region coordinate according to a preset data fusion algorithm, and determine a corresponding subatomic radiation anomaly isogram coordinate graph.

[0270] Step S103: Perform a vectorization operation on the subatomic radiation anomaly isogram coordinate graph, determine a corresponding subatomic radiation anomaly isogram vectorization line file, perform an attribute assignment operation on the subatomic radiation anomaly isogram vectorization line file, perform a point attribute export operation on a subatomic radiation anomaly isogram assignment graph obtained after the attribute assignment operation, determine a corresponding subatomic radiation anomaly isogram digital file, perform a geophysical data visualization operation according to the subatomic radiation anomaly isogram digital file, and determine a corresponding three-dimensional visualization graph.

[0271] As can be seen from the above description, the computer program product provided by the embodiment of the present application can obtain a subatomic radiation anomaly film, perform an isogram drawing operation on a subatomic radiation anomaly graph according to a preset spatial distribution feature, determine a corresponding subatomic radiation anomaly isogram, perform a data fusion operation according to a preset data fusion algorithm, determine a corresponding subatomic radiation anomaly isogram coordinate graph, perform an attribute assignment operation on the subatomic radiation anomaly isogram coordinate graph, perform a point attribute export operation on a subatomic radiation anomaly isogram assignment graph obtained after the attribute assignment operation, determine a corresponding subatomic radiation anomaly isogram digital file, perform a geophysical data visualization operation according to the subatomic radiation anomaly isogram digital file, and determine a corresponding three-dimensional visualization graph, thereby improving the efficiency and accuracy of geophysical information visualization based on subatomic radiation anomaly information of matter.

[0272] Those skilled in the art will appreciate that embodiments of the present application can be readily used as software, hardware, or a combination of software and hardware. In a software embodiment, the methods can be tangibly embodied in a machine-readable storage medium having stored thereon instructions that can be used to program a computer to perform any of the operations described herein. The software implementation can be initialized to execute via a processor to obtain features disclosed herein.

[0273] The present application is described in reference to the flowchart and / or block diagrams of the methods, apparatus (devices) and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagrams, as well as combinations of flows and / or blocks in the flowchart and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions, which are executed via the processor of the computer or other programmable data processing apparatus, generate a means for implementing the functions specified in the flowchart and / or block diagrams block or blocks. Figure 1 one or more flows and / or blocks Figure 1 an apparatus with a function specified in one or more blocks.

[0274] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufacture including an instruction apparatus that implements the functions specified in the flowchart and / or block diagrams block or blocks. Figure 1 one or more flows and / or blocks Figure 1 an apparatus with a function specified in one or more blocks.

[0275] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operational steps are performed on the computer or other programmable data processing apparatus to generate a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a process for implementing the functions specified in the flowchart and / or block diagrams block or blocks. Figure 1 one or more flows and / or blocks Figure 1 an apparatus with a function specified in one or more blocks.

[0276] The principles and implementation manners of the present application are described in the specific embodiments, and the above embodiment descriptions are only used to help understand the method of the present application and its core idea; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation manners and application scope will be changed; in view of the above, the content of the description should not be understood as a limitation of the present application.

Claims

1. A geophysical data visualization method based on subatomic radiation characteristics, characterized in that: The method comprises: Obtaining a subatomic radiation anomaly film, performing a scanning operation on the subatomic radiation anomaly film to determine a corresponding subatomic radiation anomaly map, and performing a contour drawing operation on the subatomic radiation anomaly map according to preset spatial distribution characteristics to determine a corresponding subatomic radiation anomaly contour map; Performing a data conversion operation on the subatomic radiation anomaly contour map according to a preset data conversion method to determine a corresponding subatomic radiation anomaly contour conversion map; performing a data fusion operation on the subatomic radiation anomaly contour conversion map and preset area coordinates according to a preset data fusion algorithm to determine a corresponding subatomic radiation anomaly contour coordinate map; A vectorization operation is performed on the subatomic radiation anomaly contour coordinate map to determine the corresponding subatomic radiation anomaly contour vectorized line file, an attribute assignment operation is performed on the subatomic radiation anomaly contour vectorized line file, and a point attribute export operation is performed on the subatomic radiation anomaly contour assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour digital file, a geophysical data visualization operation is performed based on the subatomic radiation anomaly contour digital file to determine the corresponding three-dimensional visualization map.

2. The method for visualizing geophysical data based on subatomic radiation characteristics according to claim 1, characterized in that: The performing a contour drawing operation on the subatomic radiation anomaly map according to the preset spatial distribution characteristics to determine the corresponding subatomic radiation anomaly contour map includes: Perform contour interval selection operation according to preset spatial distribution characteristics to determine the corresponding contour interval; A contour drawing operation is performed according to the contour interval and a preset color coding scheme to determine a corresponding subatomic radiation anomaly contour map.

3. The method for visualizing geophysical data based on subatomic radiation characteristics according to claim 1, characterized in that: The step of performing a data fusion operation on the subatomic radiation anomaly contour conversion map and the preset area coordinates according to a preset data fusion algorithm to determine a corresponding subatomic radiation anomaly contour coordinate map includes: Perform control point information selection operation on the preset area coordinates to determine the corresponding control points; A data fusion operation is performed on the control points and the subatomic radiation anomaly contour conversion map according to a polynomial fitting algorithm to determine a corresponding subatomic radiation anomaly contour coordinate map.

4. The method for visualizing geophysical data based on subatomic radiation characteristics according to claim 1, characterized in that: The attribute assignment operation on the subatomic radiation anomaly contour vectorized line file includes: Performing a radiation flux attribute value assignment operation on the subatomic radiation anomaly contour vectorized line file; A coordinate point attribute assignment operation is performed on the subatomic radiation anomaly contour vectorized line file.

5. The method for visualizing geophysical data based on subatomic radiation characteristics according to claim 1, characterized in that: The method of obtaining the subatomic radiation anomaly film includes: Perform radiation operations on the original geophysical data negatives according to the preset subatomic field generator; According to the subatomic radiation resonance obtained after the radiation operation is received by the preset photosensitive film, the corresponding subatomic radiation abnormality film is determined.

6. The method for visualizing geophysical data based on subatomic radiation characteristics according to claim 1, characterized in that: The geophysical data visualization operation is performed based on the subatomic radiation anomaly contour digital file to determine the corresponding three-dimensional visualization map, including: Gridding the contour line data in the subatomic radiation anomaly contour line digital file according to a preset digital terrain model to determine a corresponding subatomic radiation anomaly contour line grid map; A geophysical data visualization operation is performed based on the subatomic radiation anomaly contour grid map to determine a corresponding three-dimensional visualization map.

7. The method for visualizing geophysical data based on subatomic radiation characteristics according to claim 6, characterized in that: The performing of geophysical data visualization operation based on the subatomic radiation anomaly contour grid map to determine a corresponding three-dimensional visualization map includes: Performing a section cutting operation on the subatomic radiation anomaly contour line grid map, and determining a corresponding subatomic radiation anomaly tendency and subatomic radiation anomaly dip angle according to the section map obtained by the section cutting operation; A corresponding three-dimensional visualization graph is determined according to the abnormal tendency of the subatomic radiation and the abnormal inclination angle of the subatomic radiation.

8. The method for visualizing geophysical data based on subatomic radiation characteristics according to claim 7, characterized in that: Determining a corresponding three-dimensional visualization image according to the abnormal tendency of the subatomic radiation and the abnormal inclination angle of the subatomic radiation includes: Performing a radiation operation on the original geophysical data negative according to the subatomic field generator and the subatomic radiation abnormal inclination angle to determine a corresponding geophysical data vertical inclination radiation image and a geophysical data parallel inclination radiation image; performing a vertical radiation operation on the geophysical data original negative film according to the subatomic field generator to determine a corresponding geophysical data vertical radiation image; A corresponding three-dimensional visualization image is determined according to the vertical radiation image of the geophysical data, the vertical dip radiation image of the geophysical data, and the parallel dip radiation image of the geophysical data.

9. The method for visualizing geophysical data based on subatomic radiation characteristics according to claim 8, characterized in that: Determining a corresponding three-dimensional visualization image according to the vertical radiation image of the geophysical data, the vertical dip radiation image of the geophysical data, and the parallel dip radiation image of the geophysical data includes: Determine the corresponding geophysical data burial depth based on the vertical radiation image of the geophysical data and the vertical dip radiation image of the geophysical data, and determine the corresponding geophysical data thickness based on the parallel dip radiation image of the geophysical data; A corresponding three-dimensional visualization graph is determined according to the buried depth of the geophysical data and the thickness of the geophysical data.

10. A geophysical data visualization device based on subatomic radiation characteristics, characterized in that: The device comprises: a contour anomaly map drawing module, configured to obtain a subatomic radiation anomaly film, perform a scanning operation on the subatomic radiation anomaly film to determine a corresponding subatomic radiation anomaly map, perform a contour drawing operation on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determine a corresponding subatomic radiation anomaly contour map; a contour coordinate map drawing module, configured to perform a data conversion operation on the subatomic radiation anomaly contour map according to a preset data conversion method to determine a corresponding subatomic radiation anomaly contour conversion map, and perform a data fusion operation on the subatomic radiation anomaly contour conversion map and preset regional coordinates according to a preset data fusion algorithm to determine a corresponding subatomic radiation anomaly contour coordinate map; The three-dimensional visualization module is used to perform vectorization operations on the subatomic radiation anomaly contour line coordinate map, determine the corresponding subatomic radiation anomaly contour line vectorization line file, perform attribute assignment operations on the subatomic radiation anomaly contour line vectorization line file, and perform point attribute export operations on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation, determine the corresponding subatomic radiation anomaly contour line digital file, perform geophysical data visualization operations based on the subatomic radiation anomaly contour line digital file, and determine the corresponding three-dimensional visualization map.

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