Subatomic radiation characteristic-based geophysical data visualization method and device

Abstract

The embodiment of the invention provides a geophysical data visualization method and device based on sub-atom radiation characteristics, and the method comprises the steps: obtaining a sub-atom radiation anomaly film, carrying out the contour line drawing operation of a sub-atom radiation anomaly graph according to the preset spatial distribution characteristics, and determining a corresponding sub-atom radiation anomaly contour line graph; performing data fusion operation according to a preset data fusion algorithm, and determining a corresponding sub-atom radiation anomaly isoline coordinate graph; carrying out attribute assignment operation on the sub-atom radiation anomaly isoline coordinate graph, carrying out point attribute export operation on a sub-atom radiation anomaly isoline assignment graph obtained after the attribute assignment operation, and determining a corresponding sub-atom radiation anomaly isoline digital file; according to the sub-atom radiation anomaly contour line digital file, geophysical data visualization operation is carried out, a corresponding three-dimensional visualization graph is determined, and based on the substance sub-atom radiation anomaly information, the efficiency and accuracy of geophysical information visualization can be improved.

Description

Technical Field

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

[0002] With the continuous deepening of geophysical measurements in existing technologies and the rapid development of surveying techniques, geophysical data has increased dramatically with the improvement of work level. Geophysicists have accumulated a large amount of geophysical data, but the utilization efficiency of these data is low. In previous work, the method often used is to process various types of data and images and draw them into various abnormal maps. The workload of converting between digital information and map information is very large, and the process of converting between various scales of abnormal maps is complicated, which seriously limits the redevelopment and application of geophysical data, making it a major problem facing the geophysical industry today to serve resource evaluation and mineral prediction.

[0003] GIS geographic information technology provides a new idea and method for the processing, management and analysis of abnormal information. The main GIS systems in the existing technology are: ARCINFO, MAPINFO, MAPGIS, GEOSTAR, etc. Among them, MAPGIS has broad market prospects. The MAPGIS system consists 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 the processing, management, analysis and display of spatial abnormal information.

[0004] However, when using common underground resource detection data and GIS for spatial analysis and three-dimensional visualization, due to the complexity and invisibility of geophysical data, the final results are not unique, that is, there are multiple results and the accuracy is not high. Summary of the invention

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

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

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

[0008] 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;

[0009] Performing 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 performing 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;

[0010] A vectorization operation is performed on the subatomic radiation anomaly contour line coordinate map to determine the corresponding subatomic radiation anomaly contour line vectorization line file, an attribute assignment operation is performed on the subatomic radiation anomaly contour line vectorization line file, and a point attribute export operation is performed on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, a geophysical data visualization operation is performed based on the subatomic radiation anomaly contour line digital file to determine the corresponding three-dimensional visualization map.

[0011] Furthermore, 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:

[0012] Perform contour line interval selection operation according to preset spatial distribution characteristics to determine the corresponding contour line interval;

[0013] 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.

[0014] Furthermore, the step of performing a data fusion operation on the subatomic radiation anomaly contour conversion map and the preset regional coordinates according to a preset data fusion algorithm to determine a corresponding subatomic radiation anomaly contour coordinate map includes:

[0015] Perform a control point information selection operation on the preset area coordinates to determine the corresponding control points;

[0016] 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.

[0017] Furthermore, the attribute assignment operation is performed on the vectorized line file of the subatomic radiation anomaly contour line, including:

[0018] Performing a radiation flux attribute value assignment operation on the subatomic radiation anomaly contour vectorized line file;

[0019] The coordinate point attribute assignment operation is performed on the subatomic radiation anomaly contour vectorized line file.

[0020] Furthermore, the step of obtaining the subatomic radiation abnormality film includes:

[0021] Perform radiation operations on the original film of geophysical data according to the preset subatomic field generator;

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

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

[0024] 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;

[0025] A geophysical data visualization operation is performed based on the subatomic radiation anomaly contour grid map to determine a corresponding three-dimensional visualization map.

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

[0027] Performing a section cutting operation on the subatomic radiation anomaly contour line grid map, and determining the corresponding subatomic radiation anomaly tendency and subatomic radiation anomaly dip angle according to the section map obtained through the section cutting operation;

[0028] A corresponding three-dimensional visualization diagram is determined according to the subatomic radiation anomaly tendency and the subatomic radiation anomaly inclination angle.

[0029] Further, the determining of the corresponding three-dimensional visualization map according to the abnormal tendency of the subatomic radiation and the abnormal inclination of the subatomic radiation includes:

[0030] Perform radiation operation on the original film of geophysical data according to the subatomic field generator and the abnormal inclination of subatomic radiation, and determine the corresponding vertical inclination radiation image of geophysical data and the parallel inclination radiation image of geophysical data;

[0031] Performing a vertical radiation operation on the geophysical data original film according to the subatomic field generator to determine a corresponding geophysical data vertical radiation image;

[0032] 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.

[0033] Furthermore, 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:

[0034] Determine the corresponding geophysical data burial depth according to 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 according to the parallel dip radiation image of the geophysical data;

[0035] A corresponding three-dimensional visualization image is determined according to the buried depth of the geophysical data and the thickness of the geophysical data.

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

[0037] A contour anomaly map drawing module is used to obtain a subatomic radiation anomaly film, perform a scanning operation on the subatomic radiation anomaly film, determine a corresponding subatomic radiation anomaly map, perform a contour drawing operation on the subatomic radiation anomaly map according to a preset spatial distribution feature, and determine a corresponding subatomic radiation anomaly contour map, wherein the historical form usage data includes at least one of historical form performance data and historical form structure change data;

[0038] A contour coordinate map drawing module is used 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 to 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;

[0039] A 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.

[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 a computer program stored thereon, 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, including a computer program / instruction, which, when executed by a processor, implements the steps of the method for visualizing geophysical data based on subatomic radiation characteristics.

[0043] It can be seen from the above technical scheme that the present application provides a geophysical data visualization method and device based on subatomic radiation characteristics, by obtaining subatomic radiation anomaly films, performing contour drawing operations on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determining the corresponding subatomic radiation anomaly contour map; performing data fusion operations according to a preset data fusion algorithm, and determining the corresponding subatomic radiation anomaly contour line coordinate map; performing attribute assignment operations on the subatomic radiation anomaly contour line coordinate map, and performing point attribute export operations on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation, and determining the corresponding subatomic radiation anomaly contour line digital file, performing geophysical data visualization operations based on the subatomic radiation anomaly contour line digital file, and determining the corresponding three-dimensional visualization map, thereby being able to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 This is one of the flow charts of the geophysical data visualization method based on subatomic radiation characteristics in the embodiment of the present application;

[0046] Figure 2 This is the second flow chart of the geophysical data visualization method based on subatomic radiation characteristics in the embodiment of the present application;

[0047] Figure 3This is a third flow chart of a method for visualizing geophysical data based on subatomic radiation characteristics in an embodiment of the present application;

[0048] Figure 4 This is a fourth flow chart of a method for visualizing geophysical data based on subatomic radiation characteristics in an embodiment of the present application;

[0049] Figure 5 This is a fifth flow chart of the geophysical data visualization method based on subatomic radiation characteristics in the embodiment of the present application;

[0050] Figure 6 This is the sixth flow chart of the geophysical data visualization method based on subatomic radiation characteristics in the embodiment of the present application;

[0051] Figure 7 FIG7 is a flow chart of a method for visualizing geophysical data based on subatomic radiation characteristics in an embodiment of the present application;

[0052] Figure 8 This is the eighth flow chart of the method for visualizing geophysical data based on subatomic radiation characteristics in the embodiment of the present application;

[0053] Fig. 9 This is a ninth flow chart of a method for visualizing geophysical data based on subatomic radiation characteristics in an embodiment of the present application;

[0054] Fig.10 It is a structural diagram of a geophysical data visualization device based on subatomic radiation characteristics in an embodiment of the present application;

[0055] Fig.11 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application.

[0056] Reference numerals:

[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 unit 9142, data storage unit 9143, driver program storage unit 9144, antenna 9111, speaker 9131, microphone 9132. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

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

[0060] Considering the common geophysical information visualization has multiple solutions, low efficiency and accuracy. The present application provides a geophysical data visualization method and device based on subatomic radiation characteristics, by obtaining subatomic radiation anomaly film, performing contour drawing operation on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determining the corresponding subatomic radiation anomaly contour map; performing data fusion operation according to a preset data fusion algorithm, and determining the corresponding subatomic radiation anomaly contour line coordinate map; performing attribute assignment operation on the subatomic radiation anomaly contour line coordinate map, and performing point attribute export operation on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation, and determining the corresponding subatomic radiation anomaly contour line digital file, performing geophysical data visualization operation according to the subatomic radiation anomaly contour line digital file, and determining the corresponding three-dimensional visualization map, thereby being able to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information.

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

[0062] 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;

[0063] Optionally, in this embodiment, the purpose of this embodiment is to extract the radiation anomaly contour map of the target material based on the 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 subatomic radiation characteristics and studies the correlation between the exploration target (solid mineral) and the subatomic radiation spectrum information. The anomaly distribution identified is the element (ore body) distribution. The element (ore body) anomaly is unique, which provides a solid foundation for subsequently breaking the multi-solution nature of underground material visualization and improving the efficiency and accuracy of underground material inversion.

[0065] Specifically, in the process of obtaining subatomic radiation anomaly films, first, the specific scope of the target geophysical data is determined, and the specific geographical scope and location of the exploration work, including longitude and latitude coordinates and approximate regional scope, need to be clarified. Since subatomic particles exist in remote sensing satellite images, after determining the scope, it is necessary to obtain the original remote sensing satellite negative film within the scope of the target geophysical data, and obtain the subatomic radiation anomaly film by resonating the subatomic radiation of the original negative film.

[0066] More specifically, the acquisition of remote sensing satellite original negatives, according to the purpose of the survey, specifies the type, resolution, band, time resolution and other specific requirements of the required satellite data. According to the needs, select satellites that can provide the required scale, shooting angle, time resolution and band. It may involve high-resolution commercial satellites (such as GeoEye, WorldView series), scientific research satellites (such as Landsat, Sentinel series) or satellites for specific missions.

[0067] Specifically, set the scale and customize satellite images of different scales according to the survey needs. This involves extracting and synthesizing images of different scales from high-resolution satellite data. Use professional software (such as ERDAS IMAGINE, ArcGIS, etc.) to scale, crop and splice images to meet the needs of different scales.

[0068] It is understandable that large-scale satellite images: small range, detailed content, suitable for precise measurement and detailed analysis. In mineral exploration, large-scale satellite images can clearly show the topography, geological structure and other detailed information of the mining area, which is helpful to find direct prospecting signs such as ore outcrops, mineralized alteration zones, etc.

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

[0070] Small-scale satellite images: They show a wide range and a rough outline of the content, and are used to provide an overview of geographic information. Small-scale satellite images can show the geological structure and geomorphic features of the entire exploration area or even a larger area, which helps to grasp the geological background and prospecting direction of the mining area from a macro perspective.

[0071] Specifically, the shooting angle is set to take a satellite image every 3° within the range of 0-180°, ensuring 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 combining data from multiple satellites are required to meet this requirement.

[0072] It is understandable that low-angle shooting makes the subject appear taller and more magnificent, increasing the visual impact. In mineral exploration, low-angle satellite images can highlight the height difference of the mining area and enhance the understanding of the topographic features.

[0073] High-angle shooting: Show the overall view and details of the scene, and increase the layering of the picture. Satellite images shot at high angles can fully display 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: By shooting at different angles, you can obtain multi-perspective information of the mining area, which helps to more comprehensively understand the geological characteristics and ore body morphology of the mining area. This is of great significance for the three-dimensional modeling of mineral deposits and the analysis of ore body morphology.

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

[0076] It is understandable that satellite images of different time periods can have the following observation functions:

[0077] Time series analysis can analyze the dynamic changes of mining areas by acquiring satellite images of different time periods. For example, in mineral exploration, the changes in vegetation coverage and surface water systems in mining areas can be analyzed to infer the geological effects and mineralization processes in mining areas.

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

[0079] Specifically, set the bands and customize satellite images in five bands: radio frequency, optical, short-wave infrared, long-wave infrared, and ultraviolet. This requires the satellite to have multi-spectral or hyperspectral imaging capabilities. According to the satellite's band coverage, select the band closest to the requirements for data collection.

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

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

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

[0083] Radio frequency and ultraviolet bands: Although not commonly used in conventional satellite remote sensing in mineral exploration, they have special application value under specific conditions (such as detecting underground pipelines, monitoring atmospheric composition, etc.).

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

[0085] Optionally, after obtaining the original film of geophysical data, the information carrier of the original film is radiated by a subatomic field generator, and a subatomic radiation anomaly film is obtained by the subatomic resonance principle. Among them, the subatomic field generator is composed of two coils nested in each other. 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 radiation of different energy levels has different penetration capabilities and response characteristics for different types of geological structures or mineral components. By adjusting the radiation energy level, explorers can more accurately detect the target strata or minerals, reduce false alarms and missed alarms, and improve the accuracy of exploration results. The lepton radiation generated by the two coils has different characteristics, such as frequency, wavelength or phase. This diversity can enhance the recognition ability of the signal and improve the distinction between different geological structures during the exploration process. And the effect of lepton 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 researchers' understanding of the underground structure.

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

[0087] Optionally, in this embodiment, a scanning operation is performed on the subatomic radiation anomaly film to determine a corresponding subatomic radiation anomaly map.

[0088] Specifically, the use of high-precision, high-resolution film scanners can ensure that the scanned images are clear and detailed. The radiation-abnormally developed film is scanned into jpg, bmp, png and other related image formats and saved to the computer.

[0089] Optionally, in this embodiment, a contour drawing operation is performed on the subatomic radiation anomaly map according to preset spatial distribution characteristics to determine a corresponding subatomic radiation anomaly contour map.

[0090] Specifically, contour processing is the process of converting continuous data in radiation anomaly images into discrete contour lines. The key lies in selecting appropriate contour generation algorithms and parameter settings. When generating contour lines, it is necessary to set appropriate contour line intervals and color coding schemes according to the intensity and change trend of the spatial distribution characteristics of radiation anomalies. By adjusting these parameters, clear and intuitive contour maps can be generated, thereby better displaying the distribution law and change trend of radiation anomalies.

[0091] In addition, in the process of contouring, attention should also be paid to the smoothness and continuity of the contour lines. By adopting interpolation algorithms and filtering techniques, it is possible to ensure that the generated contour lines have good smoothness and continuity, thereby improving the readability and aesthetics of the image.

[0092] Preferably, the Surf drawing program is used for contour processing. The Surf program has powerful graphics processing capabilities and supports a variety of contour generation algorithms and parameter settings. In the Surf program, open the radiation anomaly image obtained by scanning. Using the "contour" function, select the appropriate contour interval (such as 5 units) and color coding scheme (such as blue to red represents radiation intensity from low to high). By adjusting the algorithm parameters, such as smoothness and continuity thresholds, ensure that the generated contour lines are both accurate and beautiful. Export the generated subatomic radiation anomaly contour map to 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 and research through customized satellite images; it uses subatomic properties to lock the subatomic radiation anomaly of the target material, and through contour processing of the radiation anomaly map, it lays a solid foundation for the subsequent three-dimensional visualization of geophysical data.

[0094] 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;

[0095] Optionally, in this embodiment, the purpose of this embodiment is to perform coordinate fusion correction on the subatomic radiation anomaly contour map obtained in step S101 so that it can be visualized through coordinate attributes later.

[0096] Optionally, in this embodiment, coordinate fusion of images must first be performed on data. The purpose of data conversion is to convert the image format into an MSI file that can be processed by the GIS system. Coordinate fusion of images in the GIS system can effectively improve the efficiency of image processing.

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

[0098] More specifically, in the MapGis system, the contour map is loaded through the "Image Processing" module. Using the "Image Analysis" function, the coordinate information of the known block is input. By selecting a sufficient number of evenly distributed control points, the image is accurately corrected. During the correction process, the least squares method or 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 coordinate fusion. The specific fusion steps are:

[0100] 1. In the MapGis system, use the "image processing", "image analysis" and "data conversion" functions to convert the radiation anomaly contour image into an msi file;

[0101] 2. In the MapGis system, create a new project file through "Image Processing" and "Input Editing", and create a work area line file in the project file with known block coordinates;

[0102] 3. In the MapGis system, open the created msi file through "Image Processing", "Image Analysis" and "Mosaic Fusion", select the block line file as the reference file, and correct and control the radiation anomaly contour map msi file by adding control points. Finally, the corrected radiation anomaly contour map msi file is generated, which is the raster data with coordinate attributes.

[0103] It is understandable that image correction is to ensure the geographical coordinates of the contour map are accurate, which is crucial for subsequent visualization analysis.

[0104] Step S103: vectorize the subatomic radiation anomaly contour line coordinate map, determine the corresponding subatomic radiation anomaly contour line vectorization line file, perform attribute assignment operation on the subatomic radiation anomaly contour line vectorization line file, and perform point attribute export operation on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, perform geophysical data visualization operation based on the subatomic radiation anomaly contour line digital file, and determine the corresponding three-dimensional visualization map.

[0105] Optionally, in this embodiment, the purpose of this embodiment is to visualize geophysical data and display three-dimensional information of target geophysical data to 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 converting the subatomic radiation anomaly contour coordinate map into a digital form, so as to facilitate subsequent more complex analysis and processing on a computer.

[0107] Optionally, in this embodiment, a vectorization operation is performed on the subatomic radiation anomaly contour line coordinate map to determine a corresponding subatomic radiation anomaly contour line vectorization line file.

[0108] Specifically, this step is the process of vectorization. During the vectorization process, special attention should be paid to the identification and extraction of contour lines. By adopting 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 vectorization processing. At the same time, the vectorization results need to be strictly tested and corrected to ensure that they meet the needs of subsequent processing and application.

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

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

[0111] Specifically, this step is the attribute assignment process. By adding attribute information such as coordinates and outliers, the connotation and expressiveness of vector data can be enriched, thereby providing stronger support for its application in GIS systems.

[0112] Preferably, the "attribute editing" function of the MapGis system is used to add attribute information such as coordinates and radiation flux attribute values ​​to the vectorized contour lines. The corresponding attribute values ​​are assigned to each contour line by reading the pixel values ​​of the original image or using other data sources.

[0113] It can be understood that the radiation flux attribute value is used as an indicator to quantify the radiation intensity. By measuring the radiation energy (i.e., radiation flux) passing through a certain cross section per unit time, the intensity distribution of radiation anomalies can be accurately recorded, providing a basis for subsequent data processing and analysis. The radiation flux attribute value can be used as reference information to help adjust the spatial position and shape of the image. The coordinate attribute value can be used to match it with the actual geographic coordinates as one of the verification indicators of the correction effect.

[0114] In terms of effect, adding radiation flux attribute values ​​can be used as an important parameter for spatial data integration. By integrating radiation flux data with other geospatial data (such as terrain, landforms, vegetation, etc.), a more comprehensive geographic information system can be built to provide strong support for resource evaluation, mineral prediction, etc. When conducting terrain analysis such as slope and aspect, radiation flux data can be combined to evaluate the radiation distribution law under different terrain conditions; when conducting hydrological analysis, radiation flux data can be used to study the absorption, reflection and transmission characteristics of water bodies to radiation.

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

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

[0117] Take an example to illustrate, assuming that the digital form conversion of the subatomic radiation anomaly contour coordinate map is performed in the MapGis system, the steps include:

[0118] 1. In the MapGis system, create a project file through "Image Processing" and "Input Editing", and add the radiation anomaly contour map msi file after image correction to the project file;

[0119] 2. In the project file, use the "Vectorization" function to vectorize the msi file and save the vectorized line file;

[0120] 3. Through the auxiliary tools of the MapGis system, use the "automatic attachment" function to attach radiation flux attribute values ​​to the vectorized line files.

[0121] 4. Use the auxiliary tools of the MapGis system and the "point position to attribute" function to assign coordinates to point attributes;

[0122] 5. Through the auxiliary tools of the MapGis system, use the "export point attributes" function to export the coordinates and radiation flux attribute values ​​of discrete points to an Excel file to complete the digitization of the radiation anomaly contour line image.

[0123] Optionally, in this embodiment, geophysical data visualization operation is performed according to the subatomic radiation anomaly contour digital file to determine the corresponding three-dimensional visualization map. This step is a key step in using digital files for visualization.

[0124] Specifically, firstly, the digital terrain model is used to perform spatial analysis and grid processing on the digitized files, and the subatomic radiation anomaly contour digital files are further plotted into contour maps to generate high-quality digital contour maps.

[0125] More specifically, spatial analysis refers to the use of analytical models to extract information about the spatial location, spatial distribution, spatial form, and spatial relationship (such as distance, orientation, topological relationship, etc.) of geographic objects from spatial data, and to describe, understand, explain, and predict this information. DTM is a form of digital terrain model that simulates and represents the morphology of the surface through a series of elevation points or elevation surfaces.

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

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

[0128] Improve computational efficiency: On gridded terrain, many spatial analysis operations (such as slope and aspect calculations, hydrological analysis, etc.) can be performed more efficiently because each grid cell can be used as an independent computational unit.

[0129] Support visualization: Gridded terrain data provides the 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, load the vectorized contour line data. Use the "DTM Analysis" function in the "Spatial Analysis" module to grid the data. Set a suitable grid size and resolution (such as 50 meters × 50 meters) to generate a high-quality digital contour line grid map.

[0131] Specifically, secondly, after obtaining the subatomic radiation anomaly contour grid map, the network map is a plane map, but in the above-mentioned digital processing process, the image will present a linearly surrounding ellipse of varying depths from large to small according to the severity of the anomaly. A section is cut at the peak of the most central ellipse to restore the profile distribution characteristics of the image. At this time, the occurrence characteristics of the target geophysical data, that is, the inclination and dip of the target material, can be obtained based on the profile distribution characteristics.

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

[0133] Dip angle refers to the angle between the inclined line on the layer and its projection on the horizontal plane, also known as true dip angle. The size of the dip angle indicates the degree of inclination of the rock layer, ranging from 0° to 90°.

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

[0135] For example, if in the profile line, the abnormal profile curve shows the characteristics of a steep left branch and a gentle right branch, it means that the target body (ore body) is inclined to the right. If a tangent is made to the right branch curve, the angle between it and the horizontal line is approximately the approximate inclination angle θ of the target body (ore body).

[0136] Specifically, after obtaining the inclination and dip of the target material, the dip direction and the vertical dip direction are determined respectively. The original film is irradiated from these two directions by the subatomic field generator to obtain the dip subatomic radiation abnormality film and the vertical dip subatomic radiation abnormality film, and the films can be processed separately to obtain two contour line radiation images. The specific contour line image processing steps are the same as the aforementioned steps S101 and S102, and will not be repeated.

[0137] At this time, three contour radiation images are obtained, namely the vertical radiation image of geophysical data, the vertical inclination radiation image of geophysical data and the parallel inclination radiation image of geophysical data. Among them, the vertical radiation image of geophysical data is the image obtained by the first processing, that is, it is obtained by radiating the film from the vertical direction.

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

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

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

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

[0142] According to the actual coordinates of points A2 and B2, the distance D2 between A2 and B2 is calculated, and the buried depth of the ore body bottom plate H2 = D2 / tg(θ).

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

[0144] As described above, based on the movement characteristics of the two radiation anomalies, the top plate burial depth H1, the center point burial depth H, and the bottom plate burial 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 angle radiation image of the target material, the thickness T=D3 of the target body (ore body) can be roughly inferred.

[0146] The parallel dip angle radiation image of the target material is directly emitted from the target material body in the dip angle direction, and the distance between the vertices of the obtained ellipse can be inferred as the thickness of the ore body.

[0147] For example, the 3D visualization scheme is as follows:

[0148] 1. Apply subatomic (lepton) radiation vertically to the original film to obtain a vertical radiation anomaly distribution contour map. After digital processing, cut a section of the anomaly distribution contour map to obtain the inclination and dip of the deep ore body reflected by the anomaly.

[0149] 2. According to the ore body inclination obtained in the first step, a radiation according to the ore body inclination and a radiation perpendicular to the ore body inclination are applied on both sides of the vertical incidence. The abnormal distribution of different radiation directions is obtained through radiation in three directions.

[0150] 3. Calculate the characteristic parameters of the mineral deposits based on the geometric distribution law of radiation anomalies in three directions (translation of anomalies): calculate the burial depth of the top, bottom plate and center of the ore body through the geometric position relationship between the vertical film radiation anomaly and the vertical ore body inclination radiation anomaly; infer the approximate thickness of the ore body through the radiation anomaly of the ore body inclination.

[0151] It can be understood that the calculation process of obtaining the occurrence and depth of the target body (ore body) through the distribution characteristics of radiation anomalies at different angles is simpler and more accurate, which overcomes the limitations and multi-solutions of geophysical depth three-dimensional visualization calculations and improves the accuracy of the results.

[0152] This example demonstrates how this embodiment can be used to visualize geophysical data based on subatomic properties fusion data processing.

[0153] From the above description, it can be seen that the geophysical data visualization method based on subatomic radiation characteristics provided in the embodiment of the present application can obtain subatomic radiation anomaly films, perform contour drawing operations on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determine the corresponding subatomic radiation anomaly contour map; perform data fusion operations according to a preset data fusion algorithm to determine the corresponding subatomic radiation anomaly contour line coordinate map; perform attribute assignment operations on the subatomic radiation anomaly contour line coordinate map, and perform point attribute export operations on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to 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, thereby being able to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information.

[0154] In one embodiment of the geophysical data visualization method based on subatomic radiation characteristics of the present application, see Figure 2 , and can also include the following:

[0155] Step S201: performing a contour interval selection operation according to preset spatial distribution characteristics to determine the corresponding contour interval;

[0156] Step S202: performing contour drawing operations according to the contour interval and the preset color coding scheme to determine the corresponding subatomic radiation anomaly contour map.

[0157] Optionally, in this embodiment, contour processing is the process of converting continuous data in the radiation anomaly image into discrete contour lines. The key lies in selecting a suitable contour generation algorithm and parameter settings. When generating contour lines, it is necessary to set a suitable contour interval and color coding scheme according to the intensity and change trend of the spatial distribution characteristics of the radiation anomaly. By adjusting these parameters, a clear and intuitive contour map can be generated, thereby better showing the distribution law and change trend of the radiation anomaly.

[0158] In addition, in the process of contouring, attention should also be paid to the smoothness and continuity of the contour lines. By adopting interpolation algorithms and filtering techniques, it is possible to ensure that the generated contour lines have good smoothness and continuity, thereby improving the readability and aesthetics of the image.

[0159] Preferably, the Surf drawing program is used for contour processing. The Surf program has powerful graphics processing capabilities and supports a variety of contour generation algorithms and parameter settings. In the Surf program, open the radiation anomaly image obtained by scanning. Using the "contour" function, select the appropriate contour interval (such as 5 units) and color coding scheme (such as blue to red represents radiation intensity from low to high). By adjusting the algorithm parameters, such as smoothness and continuity thresholds, ensure that the generated contour lines are both accurate and beautiful. Export the generated subatomic radiation anomaly contour map to a picture format (such as png) for subsequent processing.

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

[0161] In one embodiment of the geophysical data visualization method based on subatomic radiation characteristics of the present application, see Figure 3 , and can also include the following:

[0162] Step S301: performing a control point information selection operation on the preset area coordinates to determine the corresponding control points;

[0163] Step S302: performing a data fusion operation 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.

[0164] Optionally, in this embodiment, the control point information is selected to accurately correct the image by selecting a sufficient number of evenly distributed control points. During the correction process, the least squares method or 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 coordinate fusion. The specific fusion steps are:

[0166] 1. In the MapGis system, use the "image processing", "image analysis" and "data conversion" functions to convert the radiation anomaly contour image into an msi file;

[0167] 2. In the MapGis system, create a new project file through "Image Processing" and "Input Editing", and create a work area line file in the project file with known block coordinates;

[0168] 3. In the MapGis system, open the created msi file through "Image Processing", "Image Analysis" and "Mosaic Fusion", select the block line file as the reference file, and correct and control the radiation anomaly contour map msi file by adding control points. Finally, the corrected radiation anomaly contour map msi file is generated, which is the raster data with coordinate attributes.

[0169] It is understandable that image correction is to ensure the geographical coordinates of the contour map are accurate, which is crucial for subsequent visualization analysis.

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

[0171] In one embodiment of the geophysical data visualization method based on subatomic radiation characteristics of the present application, see Figure 4 , and can also include the following:

[0172] Step S401: performing a radiation flux attribute value assignment operation on the subatomic radiation anomaly contour vectorized line file;

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

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

[0175] Preferably, the "attribute editing" function of the MapGis system is used to add attribute information such as coordinates and radiation flux attribute values ​​to the vectorized contour lines. The corresponding attribute values ​​are assigned to each contour line by reading the pixel values ​​of the original image or using other data sources.

[0176] For example:

[0177] Through the auxiliary tools of the MapGis system, the "automatic attachment" function is used to attach radiation flux attribute values ​​to the vectorized line files.

[0178] Through the auxiliary tools of the MapGis system, use the "point position to attribute" function to assign coordinates to point attributes.

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

[0180] In one embodiment of the geophysical data visualization method based on subatomic radiation characteristics of the present application, see Figure 5, and can also include the following:

[0181] Step S501: performing radiation operation on the original film of geophysical data according to a preset subatomic field generator;

[0182] Step S502: Determine a corresponding subatomic radiation abnormality film according to the subatomic radiation resonance obtained after receiving the radiation operation on a preset photosensitive film.

[0183] Optionally, in this embodiment, the original film of geophysical data is a customized original film of remote sensing satellite obtained after clarifying specific requirements such as the type, resolution, band, and time resolution of the required satellite data based on the purpose of exploration.

[0184] Specifically, set the scale and customize satellite images of different scales according to the survey needs. This involves extracting and synthesizing images of different scales from high-resolution satellite data. Use professional software (such as ERDAS IMAGINE, ArcGIS, etc.) to scale, crop and splice images to meet the needs of different scales.

[0185] Specifically, the shooting angle is set to take a satellite image every 3° within the range of 0-180°, ensuring 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 combining data from multiple satellites are required to meet this requirement.

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

[0187] Specifically, set the bands and customize satellite images in five bands: radio frequency, optical, short-wave infrared, long-wave infrared, and ultraviolet. This requires the satellite to have multi-spectral or hyperspectral imaging capabilities. According to the satellite's band coverage, select the band closest to the requirements for data collection.

[0188] In summary, accurate original negatives of geophysical data can be obtained through different scales, different shooting angles, different time periods, and different bands.

[0189] Optionally, in this embodiment, after obtaining the original film of geophysical data, the information carrier of the original film is radiated by a subatomic field generator, and a subatomic radiation abnormal film is obtained by the subatomic resonance principle. Among them, the subatomic field generator is composed of two coils nested in each other. 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 radiation of different energy levels has different penetration capabilities and response characteristics for different types of geological structures or mineral components. By adjusting the radiation energy level, explorers can more accurately detect the target stratum or mineral, reduce false positives and false negatives, and improve the accuracy of the exploration results. The lepton radiation generated by the two coils has different characteristics, such as frequency, wavelength or phase. This diversity can enhance the recognition ability of the signal and improve the distinction between different geological structures during the exploration process. And the effect of lepton radiation on the information carrier can improve the quality and contrast of the final imaging, so that the visualization effect of the ore body is better, thereby improving the researchers' understanding of the underground structure.

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

[0191] Through step S502, this embodiment successfully obtains the subatomic radiation anomaly film, laying a solid foundation for the subsequent digitization of the film to achieve three-dimensional visualization.

[0192] In one embodiment of the geophysical data visualization method based on subatomic radiation characteristics of the present application, see Figure 6 , and can also include the following:

[0193] Step S601: 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;

[0194] Step S602: Perform geophysical data visualization operations according to the subatomic radiation anomaly contour grid map to determine a corresponding three-dimensional visualization map.

[0195] Optionally, the digital terrain model is used to perform spatial analysis and gridding on the digitized file, and the subatomic radiation anomaly contour digital file is further plotted into a contour map to generate a high-quality digitized 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 relationship (such as distance, orientation, topological relationship, etc.) of geographic objects from spatial data, and to describe, understand, explain, and predict this information. DTM is a form of digital terrain model, which simulates and represents the morphology of the surface through a series of elevation points or elevation surfaces.

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

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

[0199] Improve computational efficiency: On gridded terrain, many spatial analysis operations (such as slope and aspect calculations, hydrological analysis, etc.) can be performed more efficiently because each grid cell can be used as an independent computational unit.

[0200] Support visualization: Gridded terrain data provides the 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.

[0201] Preferably, in the digital terrain model subsystem of MapGis, load the vectorized contour line data. Use the "DTM Analysis" function in the "Spatial Analysis" module to grid the data. Set a suitable grid size and resolution (such as 50 meters × 50 meters) to generate a high-quality digital contour line grid map.

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

[0203] In one embodiment of the geophysical data visualization method based on subatomic radiation characteristics of the present application, see Figure 7 , and can also include the following:

[0204] Step S701: performing a section cutting operation on the subatomic radiation anomaly contour line grid map, and determining the corresponding subatomic radiation anomaly tendency and subatomic radiation anomaly dip angle according to the section map obtained through the section cutting operation;

[0205] Step S702: determining a corresponding three-dimensional visualization image according to the subatomic radiation anomaly tendency and the subatomic radiation anomaly inclination angle.

[0206] Optionally, in this embodiment, after obtaining the subatomic radiation anomaly contour grid map, the network map is a plane map, but in the above-mentioned digital processing process, the image will present ellipses of varying depths, linearly surrounding from large to small, according to the severity of the anomaly. A section is cut at the peak of the central ellipse to restore the cross-sectional distribution characteristics of the image. At this time, the occurrence characteristics of the target geophysical data, that is, the inclination and dip of the target material, can be obtained based on the cross-sectional distribution characteristics.

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

[0208] Dip angle refers to the angle between the inclined line on the layer and its projection on the horizontal plane, also known as true dip angle. The size of the dip angle indicates the degree of inclination of the rock layer, ranging from 0° to 90°.

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

[0210] For example, if in the profile line, the abnormal profile curve shows the characteristics of a steep left branch and a gentle right branch, it means that the target body (ore body) is inclined to the right. If a tangent is made to the right branch curve, the angle between it and the horizontal line is approximately the approximate inclination angle θ of the target body (ore body).

[0211] Through step S702, this embodiment successfully obtains the inclination and dip of the target geophysical data based on the subatomic radiation anomaly contour grid map, laying a solid foundation for the subsequent three-dimensional visualization.

[0212] In one embodiment of the geophysical data visualization method based on subatomic radiation characteristics of the present application, see Figure 8 , and can also include the following:

[0213] Step S801: performing a radiation operation on the original film of the geophysical data according to the subatomic field generator and the abnormal inclination of the subatomic radiation, and determining a corresponding vertical inclination radiation image of the geophysical data and a parallel inclination radiation image of the geophysical data;

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

[0215] Step S803: Determine 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.

[0216] Optionally, in this embodiment, after obtaining the inclination and dip of the target material, the dip direction and the vertical dip direction are determined respectively. The original film is irradiated from these two directions by the subatomic field generator to obtain a subatomic radiation anomaly film with a dip angle and a subatomic radiation anomaly film with a vertical dip angle. The films can be processed separately to obtain two contour line radiation images. The specific contour line image processing steps are the same as the aforementioned steps S101 and S102, and will not be described in detail.

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

[0218] Through step S803, this embodiment successfully obtains three contour anomaly maps, laying a solid data foundation for subsequent computer processing to achieve three-dimensional visualization.

[0219] In one embodiment of the geophysical data visualization method based on subatomic radiation characteristics of the present application, see Fig. 9 , and can also include the following:

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

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

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

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

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

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

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

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

[0228] As described above, based on the movement characteristics of the two radiation anomalies, the top plate burial depth H1, the center point burial depth H, and the bottom plate burial 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 dip angle radiation image of the target material, the thickness T=D3 of the target body (ore body) can be roughly inferred.

[0230] The parallel dip angle radiation image of the target material is directly emitted from the target material body in the dip angle direction, and the distance between the vertices of the obtained ellipse can be inferred as the thickness of the ore body.

[0231] For example, the 3D visualization scheme is as follows:

[0232] 1. Apply subatomic (lepton) radiation vertically to the original film to obtain a vertical radiation anomaly distribution contour map. After digital processing, cut a section of the anomaly distribution contour map to obtain the inclination and dip of the deep ore body reflected by the anomaly.

[0233] 2. According to the ore body inclination obtained in the first step, a radiation according to the ore body inclination and a radiation perpendicular to the ore body inclination are applied on both sides of the vertical incidence. The abnormal distribution of different radiation directions is obtained through radiation in three directions.

[0234] 3. Calculate the characteristic parameters of the mineral deposits based on the geometric distribution law of radiation anomalies in three directions (translation of anomalies): calculate the burial depth of the top, bottom plate and center of the ore body through the geometric position relationship between the vertical film radiation anomaly and the vertical ore body inclination radiation anomaly; infer the approximate thickness of the ore body through the radiation anomaly of the ore body inclination.

[0235] It can be understood that the calculation process of obtaining the occurrence and depth of the target body (ore body) through the distribution characteristics of radiation anomalies at different angles is simpler and more accurate, which overcomes the limitations and multi-solutions of geophysical depth inversion calculations and improves the accuracy of the results.

[0236] Through step S902, this embodiment successfully realizes the three-dimensional visualization of the target geophysical data.

[0237] In order to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information, the present application provides an embodiment of a geophysical data visualization device based on subatomic radiation characteristics for realizing all or part of the content of the geophysical data visualization method based on subatomic radiation characteristics, see Fig.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 to obtain a subatomic radiation anomaly film, perform a scanning operation on the subatomic radiation anomaly film, determine a corresponding subatomic radiation anomaly map, perform a contour drawing operation on the subatomic radiation anomaly map according to a preset spatial distribution feature, and determine a corresponding subatomic radiation anomaly contour map;

[0239] The contour coordinate map drawing module 20 is used to perform data conversion operation on the subatomic radiation anomaly contour map according to a preset data conversion method to determine the corresponding subatomic radiation anomaly contour conversion map, and perform data fusion operation on the subatomic radiation anomaly contour conversion map and preset regional coordinates according to a preset data fusion algorithm to determine the corresponding subatomic radiation anomaly contour coordinate map;

[0240] The three-dimensional visualization module 30 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.

[0241] From the above description, it can be seen that the geophysical data visualization device based on subatomic radiation characteristics provided in the embodiment of the present application can obtain subatomic radiation anomaly films, perform contour drawing operations on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determine the corresponding subatomic radiation anomaly contour map; perform data fusion operations according to a preset data fusion algorithm to determine the corresponding subatomic radiation anomaly contour line coordinate map; perform attribute assignment operations on the subatomic radiation anomaly contour line coordinate map, and perform point attribute export operations on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to 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, thereby being able to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information.

[0242] From the hardware level, in order to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information, the present 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, and the electronic device specifically includes the following content:

[0243] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication 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 and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the logic controller can be implemented with reference 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 in the embodiment, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0244] It is understandable that the user terminal may 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, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0245] In practical applications, part of the geophysical data visualization method based on subatomic radiation characteristics can be executed on the electronic device side as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capability of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

[0246] The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0247] Fig.11FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Fig.11 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Fig.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 function of the geophysical data visualization method based on subatomic radiation characteristics can be integrated into the central processing unit 9100. The central processing unit 9100 can 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: vectorize the subatomic radiation anomaly contour line coordinate map, determine the corresponding subatomic radiation anomaly contour line vectorization line file, perform attribute assignment operation on the subatomic radiation anomaly contour line vectorization line file, and perform point attribute export operation on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, perform geophysical data visualization operation based on the subatomic radiation anomaly contour line digital file, and determine the corresponding three-dimensional visualization map.

[0252] From the above description, it can be seen that the electronic device provided in the embodiment of the present application obtains a subatomic radiation anomaly film, performs contour drawing operations on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determines the corresponding subatomic radiation anomaly contour map; performs data fusion operations according to a preset data fusion algorithm to determine the corresponding subatomic radiation anomaly contour line coordinate map; performs attribute assignment operations on the subatomic radiation anomaly contour line coordinate map, and performs point attribute export operations on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, performs geophysical data visualization operations based on the subatomic radiation anomaly contour line digital file, and determines the corresponding three-dimensional visualization map, thereby being able to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information.

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

[0254] like Fig.11 As shown, the electronic device 9600 may also include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Fig.11 In addition, the electronic device 9600 may also include Fig.11 For components not shown, reference may be made to the prior art.

[0255] like Fig.11 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0256] The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement 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 used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0258] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

[0259] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

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

[0261] Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless local area network module, etc. The communication module 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the machine through the microphone 9132, and the sound stored on the machine can be played through the speaker 9131.

[0262] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the geophysical data visualization method based on subatomic radiation characteristics in the above-mentioned embodiments, where the execution subject is a server or a client. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, all the steps of the geophysical data visualization method based on subatomic radiation characteristics in the above-mentioned embodiments are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0263] 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;

[0264] 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;

[0265] Step S103: vectorize the subatomic radiation anomaly contour line coordinate map, determine the corresponding subatomic radiation anomaly contour line vectorization line file, perform attribute assignment operation on the subatomic radiation anomaly contour line vectorization line file, and perform point attribute export operation on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, perform geophysical data visualization operation based on the subatomic radiation anomaly contour line digital file, and determine the corresponding three-dimensional visualization map.

[0266] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application obtains a subatomic radiation anomaly film, performs contour drawing operations on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determines the corresponding subatomic radiation anomaly contour map; performs data fusion operations according to a preset data fusion algorithm to determine the corresponding subatomic radiation anomaly contour line coordinate map; performs attribute assignment operations on the subatomic radiation anomaly contour line coordinate map, and performs point attribute export operations on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, performs geophysical data visualization operations based on the subatomic radiation anomaly contour line digital file, and determines the corresponding three-dimensional visualization map, thereby being able to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information.

[0267] The embodiments of the present application also provide a computer program product capable of implementing all the steps of the geophysical data visualization method based on subatomic radiation characteristics in the above embodiments, where the execution subject is a server or a client. When the computer program / instruction is executed by a processor, the steps of the geophysical data visualization method based on subatomic radiation characteristics are implemented. For example, the computer program / instruction implements the following steps:

[0268] 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;

[0269] 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;

[0270] Step S103: vectorize the subatomic radiation anomaly contour line coordinate map, determine the corresponding subatomic radiation anomaly contour line vectorization line file, perform attribute assignment operation on the subatomic radiation anomaly contour line vectorization line file, and perform point attribute export operation on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, perform geophysical data visualization operation based on the subatomic radiation anomaly contour line digital file, and determine the corresponding three-dimensional visualization map.

[0271] From the above description, it can be seen that the computer program product provided in the embodiment of the present application obtains a subatomic radiation anomaly film, performs contour drawing operations on the subatomic radiation anomaly map according to preset spatial distribution characteristics, and determines the corresponding subatomic radiation anomaly contour map; performs data fusion operations according to a preset data fusion algorithm to determine the corresponding subatomic radiation anomaly contour line coordinate map; performs attribute assignment operations on the subatomic radiation anomaly contour line coordinate map, and performs point attribute export operations on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, performs geophysical data visualization operations based on the subatomic radiation anomaly contour line digital file, and determines the corresponding three-dimensional visualization map, thereby being able to improve the efficiency and accuracy of geophysical information visualization based on material subatomic radiation anomaly information.

[0272] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0273] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0274] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0275] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0276] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for visualizing geophysical data based on subatomic radiation characteristics, characterized in that: The method comprises: 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; Performing 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 performing 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; A vectorization operation is performed on the subatomic radiation anomaly contour line coordinate map to determine the corresponding subatomic radiation anomaly contour line vectorization line file, an attribute assignment operation is performed on the subatomic radiation anomaly contour line vectorization line file, and a point attribute export operation is performed on the subatomic radiation anomaly contour line assignment map obtained after the attribute assignment operation to determine the corresponding subatomic radiation anomaly contour line digital file, a geophysical data visualization operation is performed based on the subatomic radiation anomaly contour line 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 step of performing a contour drawing operation on the subatomic radiation anomaly map according to the preset spatial distribution characteristics to determine a corresponding subatomic radiation anomaly contour map includes: Perform contour line interval selection operation according to preset spatial distribution characteristics to determine the corresponding contour line 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 regional coordinates according to a preset data fusion algorithm to determine a corresponding subatomic radiation anomaly contour coordinate map includes: Perform a 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; The 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 abnormality film comprises: Perform radiation operations on the original film of geophysical data 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 abnormal 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 according to 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 geophysical data visualization operation is performed according to the subatomic radiation anomaly contour grid map to determine the corresponding three-dimensional visualization map, including: Performing a section cutting operation on the subatomic radiation anomaly contour line grid map, and determining the corresponding subatomic radiation anomaly tendency and subatomic radiation anomaly dip angle according to the section map obtained through the section cutting operation; A corresponding three-dimensional visualization diagram is determined according to the subatomic radiation anomaly tendency and the subatomic radiation anomaly inclination.

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 map according to the abnormal tendency of subatomic radiation and the abnormal inclination angle of subatomic radiation includes: Perform radiation operation on the original film of the geophysical data according to the subatomic field generator and the abnormal inclination of the subatomic radiation, and determine the corresponding vertical inclination radiation image of the geophysical data and the parallel inclination radiation image of the geophysical data; Performing a vertical radiation operation on the geophysical data original 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 according to 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 according to the parallel dip radiation image of the geophysical data; A corresponding three-dimensional visualization image 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 is used to obtain a subatomic radiation anomaly film, perform a scanning operation on the subatomic radiation anomaly film, determine a corresponding subatomic radiation anomaly map, perform a contour drawing operation on the subatomic radiation anomaly map according to a preset spatial distribution feature, and determine a corresponding subatomic radiation anomaly contour map; A contour coordinate map drawing module is used 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 to 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; A 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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