Underground exploration information visualization method and device

Abstract

The embodiment of the invention provides an underground exploration information visualization method and device, and the method comprises the steps: obtaining an original negative film of a remote sensing satellite picture, and determining a corresponding target substance radiation image according to a preset subatomic field generator; carrying out image enhancement processing on the target substance radiation image according to a nonlinear algorithm, determining a corresponding enhanced radiation image, carrying out plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, carrying out vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm, and obtaining the target substance radiation image. Determining a corresponding target substance digital map; and constructing a corresponding target substance mathematical model according to the target substance digital map, and realizing target substance visualization according to the target substance mathematical model. According to the application, the subatomic field can be extracted based on the remote sensing satellite map, and geological mineral visualization is performed by using the subatomic characteristics, so that the efficiency and accuracy of geological exploration information visualization are 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 underground exploration information. Background Art

[0002] The existing exploration methods for underground rocks and minerals (ore deposits) mainly include geological exploration, geophysical exploration, geochemical exploration, drilling engineering and other methods. These methods have their own characteristics. However, due to the complexity of geological natural formation, these methods face the following deficiencies in information processing and visualization:

[0003] 1. The information processing and visualization technology of geophysical exploration is currently mainly at the stage of computer graphics of data fields, which cannot realize analysis, interpretation and geological modeling, and is insufficient to meet the in-depth analysis and interpretation needs of geophysical exploration.

[0004] 2. The drawing of geophysical results maps mainly focuses on two-dimensional graphics. For example, the main results maps of electromagnetic methods are two-dimensional contour maps and horizontal depth slice maps, which limits the comprehensive display and understanding of geophysical data.

[0005] 3. Although the application of artificial intelligence technology in the field of geophysics has gradually attracted attention, the application of these technologies is mainly concentrated in information processing and analysis, and their role in improving visualization technology is relatively limited.

[0006] As can be seen from the above, the existing geological exploration information processing and visualization technology limits the ability to deeply analyze and interpret geophysical data, as well as the establishment of geological and geophysical models, thus affecting the efficiency and accuracy of geophysical exploration. Finding new data information processing and visualization methods is a top priority.

[0007] Subatomic particles (leptons) are extremely light, weakly interacting particles. All material bodies, no matter where they are on the earth, have subatomic (lepton) fields. Through computer processing, the abnormal distribution of subatomic fields can be identified and the outlines of underground minerals can be distinguished. In addition to the images of the earth's surface that can be seen by the naked eye in remote sensing satellite images, there are also subatomic (lepton) fields of various geological bodies inside the earth that are invisible to the naked eye. Based on the characteristics of subatomic fields and the above-mentioned visualization defects, this application proposes a technical solution for extracting subatomic fields from remote sensing satellite images and using the characteristics of subatomic fields to increase the efficiency and accuracy of geological exploration information visualization. Summary of the invention

[0008] In response to the problems in the prior art, the present application provides a method and device for visualizing underground exploration information, which can extract subatomic fields based on remote sensing satellite images and visualize geological minerals using subatomic properties, thereby improving the efficiency and accuracy of geological exploration information visualization.

[0009] In order to solve at least one of the above problems, the present application provides the following technical solutions:

[0010] In a first aspect, the present application provides a method for visualizing underground exploration information, comprising:

[0011] Acquire an original negative of a remote sensing satellite image, perform a radiation operation on the original negative according to a preset subatomic field generator, determine a corresponding radiation resonance of a target substance, receive the radiation resonance of the target substance according to a preset photosensitive film, and determine a corresponding radiation image of the target substance;

[0012] Performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm to determine a corresponding enhanced radiation image, performing a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image, digitizing the vectorized radiation image, and performing a digital map drawing operation based on the digitized radiation image obtained after the digitization operation to determine a corresponding digital map of the target material;

[0013] A corresponding mathematical model of the target substance is constructed according to the digital map of the target substance, and visualization of the target substance is achieved according to the mathematical model of the target substance.

[0014] Furthermore, the radiation operation is performed on the original film according to the preset subatomic field generator to determine the corresponding target material radiation resonance, including:

[0015] Performing a radiation operation on the original film according to a subatomic field emitted by a preset subatomic field generator having the same radiation frequency as that of the target material;

[0016] The subatomic field radiation resonance obtained after the radiation operation is received according to a preset subatomic filter, and the subatomic field radiation resonance is filtered to determine the corresponding target substance radiation resonance.

[0017] Furthermore, the step of receiving the radiation resonance of the target substance according to a preset photosensitive film and determining a corresponding radiation image of the target substance includes:

[0018] Performing an irradiation operation on a preset photosensitive film according to a preset radiation source, wherein the radiation source is arranged below the photosensitive film;

[0019] According to the radiation resonance of the target substance received by the irradiated photosensitive film, a corresponding radiation image of the target substance is determined.

[0020] Further, performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm to determine a corresponding enhanced radiation image includes:

[0021] Performing a denoising operation on the target material radiation image according to a nonlinear filtering algorithm to determine a corresponding first material radiation image;

[0022] An image feature extraction operation is performed on the radiation image of the first material according to a nonlinear image processing algorithm to determine a corresponding enhanced radiation image.

[0023] Furthermore, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image includes:

[0024] Performing a vector conversion operation on the image after the plane position calibration operation according to a preset vector algorithm to determine corresponding image vector data;

[0025] A corresponding vectorized radiation image is determined according to the image vector data.

[0026] Furthermore, the digitizing operation is performed on the vectorized radiation image, and a digital map drawing operation is performed according to the digitized radiation image obtained after the digitizing operation to determine the corresponding digital map of the target material, including:

[0027] Performing a digitization operation on the vectorized radiation image to determine a corresponding digitized radiation image;

[0028] A digital map drawing operation is performed according to the radiation flux density in the digitized radiation image to determine a corresponding target material digital map, wherein the target material digital map is used to display the spatial distribution of the radiation flux density.

[0029] Furthermore, the constructing a corresponding mathematical model of the target substance according to the digital map of the target substance, and realizing visualization of the target substance according to the mathematical model of the target substance, comprises:

[0030] Numbering the radiation flux density abnormal areas in the target material digital map to determine corresponding abnormal numbers;

[0031] Performing an analysis operation on the abnormal area of ​​radiation flux density in the digital map of the target material to determine the corresponding abnormal feature, wherein the abnormal feature includes at least one of an abnormal distribution feature and an abnormal intensity feature;

[0032] A corresponding mathematical model of the target substance is constructed according to the abnormal number and the abnormal characteristics, and visualization of the target substance is achieved according to the mathematical model of the target substance.

[0033] In a second aspect, the present application provides an underground exploration information visualization device, comprising:

[0034] A radiation information extraction module is used to obtain the original negative film of the remote sensing satellite image, perform a radiation operation on the original negative film according to a preset subatomic field generator, determine the corresponding radiation resonance of the target material, receive the radiation resonance of the target material according to a preset photosensitive film, and determine the corresponding radiation image of the target material;

[0035] a radiation map drawing module, used for performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm, determining a corresponding enhanced radiation image, performing a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm, determining a corresponding vectorized radiation image, digitizing the vectorized radiation image, and performing a digital map drawing operation based on the digitized radiation image obtained after the digitization operation, to determine a corresponding digital map of the target material;

[0036] The radiation information visualization module is used to construct a corresponding mathematical model of the target substance according to the digital map of the target substance, and realize visualization of the target substance according to the mathematical model of the target substance.

[0037] In a third aspect, the present application provides an electronic device, including 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 underground exploration information visualization method when executing the program.

[0038] 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 underground exploration information visualization method.

[0039] In a fifth aspect, the present application provides a computer program product, including a computer program / instruction, which implements the steps of the underground exploration information visualization method when executed by a processor.

[0040] It can be seen from the above technical scheme that the present application provides a method and device for visualizing underground exploration information, which obtains the original negative of the remote sensing satellite image and determines the corresponding target material radiation image according to the preset subatomic field generator; performs image enhancement processing on the target material radiation image according to a nonlinear algorithm to determine the corresponding enhanced radiation image, performs a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, and performs a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine the corresponding target material digital map; constructs a corresponding target material mathematical model according to the target material digital map, and realizes target material visualization according to the target material mathematical model, thereby extracting subatomic fields based on remote sensing satellite images and visualizing geological minerals using subatomic characteristics, thereby improving the efficiency and accuracy of geological exploration information visualization. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] 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.

[0042] Figure 1 This is one of the flow charts of the underground exploration information visualization method in the embodiment of the present application;

[0043] Figure 2 This is the second flow chart of the underground exploration information visualization method in the embodiment of the present application;

[0044] Figure 3 This is the third flow chart of the underground exploration information visualization method in the embodiment of the present application;

[0045] Figure 4 This is a fourth flow chart of the underground exploration information visualization method in the embodiment of the present application;

[0046] Figure 5 This is a fifth flow chart of the underground exploration information visualization method in the embodiment of the present application;

[0047] Figure 6 This is the sixth flow chart of the underground exploration information visualization method in the embodiment of the present application;

[0048] Figure 7 This is the seventh flow chart of the method for visualizing underground exploration information in the embodiment of the present application;

[0049] Figure 8 It is a structural diagram of the underground exploration information visualization device in an embodiment of the present application;

[0050] Fig. 9 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application.

[0051] Reference numerals:

[0052] 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

[0053] 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.

[0054] 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.

[0055] Considering the problem that the existing geological exploration information processing and visualization technology limits the ability to deeply analyze and interpret geophysical data. The present application provides a method and device for visualizing underground exploration information, which obtains the original negative of the remote sensing satellite image, determines the corresponding target material radiation image according to the preset subatomic field generator; performs image enhancement processing on the target material radiation image according to the nonlinear algorithm, determines the corresponding enhanced radiation image, performs a plane position calibration operation on the enhanced radiation image according to the preset geographic coordinates, and performs a vectorization operation on the image after the plane position calibration operation according to the preset vector algorithm to determine the corresponding target material digital map; constructs the corresponding target material mathematical model according to the target material digital map, and realizes the visualization of the target material according to the target material mathematical model, thereby being able to extract the subatomic field based on the remote sensing satellite image and visualize the geological minerals using the subatomic characteristics, thereby improving the efficiency and accuracy of geological exploration information visualization.

[0056] In order to extract subatomic fields based on remote sensing satellite images and use subatomic properties to visualize geological minerals, thereby improving the efficiency and accuracy of geological exploration information visualization, this application provides an embodiment of an underground exploration information visualization method, see Figure 1, the underground exploration information visualization method specifically includes the following contents:

[0057] Step S101: obtaining an original negative of a remote sensing satellite image, performing a radiation operation on the original negative according to a preset subatomic field generator to determine a corresponding radiation resonance of a target substance, receiving the radiation resonance of the target substance according to a preset photosensitive film, and determining a corresponding radiation image of the target substance;

[0058] Optionally, in this embodiment, the purpose of this step is to extract the radiation image of the target material from the satellite image, so as to lay a foundation for the subsequent construction of a visualization model of underground minerals.

[0059] It can be understood that in the prior art, the geophysical visualization result is the structural distribution of the geological body, and it is necessary to analyze the characteristics of the regional geological body to infer the abnormal distribution characteristics, and it must be carried out by experienced technicians who understand the regional geological conditions. The present application is different from any prior art. By studying the correlation between the exploration target (solid mineral) and the subatomic radiation spectrum information, the abnormal distribution identified is the element (ore body) distribution. The element (ore body) anomaly is unique, and the distribution characteristics of the anomaly can be automatically analyzed through a mathematical model.

[0060] Optionally, in this embodiment, the technical means adopted in this step is subatomic (lepton) field radiation information extraction.

[0061] Optionally, in this embodiment, subatomic (lepton) field radiation information extraction is carried out through a professional processing process to make the invisible subatomic (lepton) field radiation information visible in the optical band, and its abnormal distribution is identified and its shape contour is distinguished through computer processing.

[0062] In addition to the images of the earth's surface that can be seen with the naked eye in remote sensing satellite images, there are also subatomic (lepton) fields of various geological bodies inside the earth that are invisible to the naked eye. In the radioactive chemistry laboratory, the original satellite film negatives obtained are used to apply the subatomic (lepton) field of the radiation frequency to the test substance (mineral element) through the subatomic (lepton) field generator, thereby generating resonance of the subatomic (lepton) field of the test substance (mineral element), enhancing its radiation information intensity, and developing it on X-ray film, which is the radiation information of our test substance (mineral element).

[0063] Optionally, in this embodiment, the original film is radiated according to a preset subatomic field generator to determine the corresponding radiation resonance of the target substance.

[0064] Specifically, this step is carried out in a radioactive laboratory. The principle of radiation resonance is that when the leptons in a material body (such as rocks, ores, minerals, etc.) encounter energy fluctuations to form resonance conditions, they will show an energy difference response, thereby radiating a lepton field of a specific frequency. This radiation information can be captured and recorded by remote sensing equipment such as remote sensing satellites. The lepton field can absorb and re-emit radiation energy under the irradiation of a radiation source of a specific wavelength.

[0065] Since the subatomic field vibration frequencies of different substances are different, when extracting the subatomic resonance field, the vibration frequency of the subatomic field generator is selected according to the vibration frequency of the target substance in the vibration frequency spectrum of different substances, and the remote sensing satellite images are radiated to obtain the subatomic distributed radiation resonance field.

[0066] Next, the subatomic distributed radiation resonance field is projected onto the subatomic filter, and the radiation resonance of the target substance is accurately extracted through the filter and the gel of the substance to be collected arranged on the filter.

[0067] Optionally, in this embodiment, the subatomic filter can selectively filter radiation signals of specific wavelengths or energies, thereby extracting lepton radiation characteristics associated with the target material (such as an ore body). This enables the target signal to be more clearly identified in a complex background. In the process of data visualization, the subatomic filter can help generate clearer and more informative radiation images, allowing researchers to more intuitively understand the distribution and characteristics of the ore body.

[0068] Optionally, in this embodiment, the gel of the substance to be collected can effectively concentrate the minerals or compounds in the target sample, which is convenient for subsequent analysis, especially the extraction of trace elements, and focuses on improving sample processing and detection sensitivity, and is used in combination with spectral analysis, chromatographic analysis and other technologies to improve analysis efficiency and accuracy.

[0069] It can be understood that, after the above steps, a distributed radiation resonance field for the target mineral material to be measured is obtained.

[0070] Optionally, in this embodiment, the radiation resonance of the target substance is received by a preset photosensitive film to determine a corresponding radiation image of the target substance.

[0071] Specifically, photographic film can respond to radiation energy. By irradiating the resonance of the target material, the photographic film can record these radiation signals. The material selection and processing of the photographic film make it sensitive to slight changes in radiation.

[0072] During the experiment, a preset radiation source (such as a laser or other high-energy radiation source) will irradiate the photographic film. The purpose of this process is to enhance the signal and make the radiation characteristics of the target material more obvious. Through appropriate irradiation methods, changes in radiation flux can be effectively recorded.

[0073] When the photographic film receives the radiation signal, the radiation resonance forms corresponding images on the film. These images reflect the radiation characteristics of the target material, including radiation intensity and distribution pattern.

[0074] Optionally, in the above step S101, the entire radioactivity test is carried out at three levels:

[0075] The satellite images are placed on the top layer, and the top layer of satellite images are radiated by an external subatomic field generator;

[0076] The subatomic filter is placed in the middle layer to receive the resonance field of the top layer, and the accuracy of the target resonance field is improved through the filter and the gel of the substance to be collected;

[0077] The photosensitive film is placed at the bottom layer, and by arranging a radiation source at the bottom of the photosensitive film, the resonance field can be effectively imaged.

[0078] Preferably, the photosensitive film may be an X-ray film, and the radiation source below the photosensitive film may be an ultraviolet radiation source.

[0079] It is understandable that the radiation resonance presents the radiation image of the target material, which involves multiple links such as the principle of radiation resonance, the application of photosensitive materials, irradiation operation and subsequent image processing. The successful implementation of this process provides important technical support for geological exploration and resource assessment.

[0080] Step S102: performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm to determine a corresponding enhanced radiation image, performing a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image, performing a digitization operation on the vectorized radiation image, and performing a digital map drawing operation based on the digitized radiation image obtained after the digitization operation to determine a corresponding digital map of the target material;

[0081] Optionally, in this embodiment, the purpose of this step is to process the radiation resonance image obtained above by computer to obtain a digital map of the target substance corresponding to the image, so as to facilitate subsequent mathematical model establishment and visualization through the digital map.

[0082] Optionally, in this embodiment, image enhancement processing is performed on the radiation image of the target material according to a nonlinear algorithm to determine a corresponding enhanced radiation image.

[0083] Specifically, the nonlinear algorithm is a nonlinear image processing method, which refers to processing the image by using nonlinear mathematical operations and algorithms to improve the quality visualization effect of the image.

[0084] More specifically, nonlinear processing includes the following key links:

[0085] Image brightness and contrast adjustment: Through nonlinear transformation, the brightness and contrast of the image are optimized to make the image with abnormal radiation intensity distribution clearer and more visible.

[0086] Noise Removal: Apply nonlinear filtering technology to remove noise from images and improve the overall image quality.

[0087] Feature description: Use nonlinear image processing technology to perform image edge detection, image segmentation, image enhancement and image compression to better describe the features and structures in the image and improve the visual effect.

[0088] This step lays a solid foundation for subsequent digital map drawing and mathematical model establishment, and can be said to be a key step in the visualization method.

[0089] Optionally, in this embodiment, a plane position calibration operation is performed on the enhanced radiation image according to preset geographic coordinates.

[0090] Specifically, the GIS geographic information system program is used to perform plane position calibration on the image after nonlinear processing. This process ensures that the extracted radiation intensity image corresponds to the geographic coordinate system and ensures the spatial position of the data is accurate. Through position calibration, the radiation anomaly phenomenon can be correctly located in the actual geographical environment, thereby providing a reliable geographical background for subsequent analysis.

[0091] Optionally, in this embodiment, a vectorization operation is performed on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image.

[0092] Specifically, the geoscientific vectorization program is used to vectorize the images after nonlinear processing and calibration. The vectorization process converts the raster image (pixel-based) into vector data (points, lines, and surfaces), making the data more flexible and accurate in display and analysis. Vector data allows for more complex geological analysis and modeling, for example, it is easier to perform spatial analysis and overlay analysis, which improves the usability of the data.

[0093] It is understood that vector data is a representation of geographic information using points, lines, and surfaces. For example, in mineral exploration, the radiation anomaly area of ​​a mining area can be represented by a polygon, and the boundary of this polygon is connected by multiple points (coordinates). Vector data usually has a higher accuracy because it uses coordinates to accurately locate specific geographic features.

[0094] As described above, the image after the plane position calibration operation is vector-converted using a vector algorithm to determine the vector data of the edge points of the image, and then a vector image can be drawn and generated based on the vector data.

[0095] Vector data include but are not limited to: boundary coordinates of the abnormal area (for example, the longitude and latitude of a point); abnormal type (such as elements such as uranium and thorium); radiation flux density value (such as radiation intensity per square meter).

[0096] Optionally, in this embodiment, a digitization operation is performed on the vectorized radiation image, and a digital map drawing operation is performed based on the digitized radiation image obtained after the digitization operation to determine the corresponding digital map of the target material.

[0097] Specifically, relevant data is extracted from the vectorized image, including radiation flux density value, abnormal distribution area, abnormal position coordinates and other information.

[0098] The abnormal radiation range is divided according to the radiation flux density value, and the extracted range-related data is converted into digital format for storage and analysis by the computer system. These data are usually saved in the form of tables or databases. Using the GIS geographic information system, the digitized data is drawn into a digital map to show the spatial distribution of the radiation flux density.

[0099] Optionally, the process of converting to digital format means converting these vector data into digital form that can be processed by computers. Once the vector data is converted into digital format, researchers can easily use computer programs to perform spatial analysis of radiation intensity, generate heat maps, make model predictions, etc. For example: convert the coordinates of the boundary points of the polygon (such as (x1, y1), (x2, y2),...) into a digital array. Convert the radiation flux density value into numerical data for easy calculation and analysis.

[0100] Preferably, a software tool (such as QGIS, ArcGIS, etc.) is used to export the vector file into a digital format (such as CSV or GeoJSON), which can contain coordinate and attribute information.

[0101] The overall steps of S102 are explained with examples.

[0102] Assume that we are conducting exploration in a certain mining area. After step S102, the digital map obtained shows the distribution of radiation intensity in different areas:

[0103] Plane position calibration: Ensure that the radiation image matches the actual mine area geographic coordinates, for example, a high radiation area is accurately marked in the southwest corner of the mine area.

[0104] Vectorization: The boundary of the high radiation area is extracted as a polygon to facilitate subsequent analysis of the mineral potential of the area.

[0105] Digital processing: extract relevant data from the vectorized image and convert the extracted data into digital format.

[0106] Digital Mapping: The generated digital map shows the distribution of radiation intensity in the mining area. Geologists can use the map to quickly identify key exploration areas and develop further sampling and analysis plans.

[0107] Through the above steps, digital maps not only improve the visualization of data, but also enhance the understanding and analysis capabilities of underground resources, providing important information support for mineral exploration.

[0108] Step S103: constructing a corresponding mathematical model of the target substance according to the digital map of the target substance, and realizing visualization of the target substance according to the mathematical model of the target substance.

[0109] Optionally, in this embodiment, the purpose of this step is to construct a mathematical model based on the digitized digital map for data visualization to clearly display the distribution and form of underground mineral resources.

[0110] Specifically, in this embodiment, a mathematical model is established for the digitized radiation anomaly distribution map, including anomaly number, element category, radiation flux density value (radiation intensity value), anomaly distribution area, anomaly position coordinates, anomaly distribution occurrence, anomaly depth range, etc.

[0111] More specifically, the model is built by first numbering the extracted radiation anomaly data and assigning a unique identifier to each anomaly area. The anomaly number helps to systematically manage each radiation anomaly and facilitate subsequent data processing and analysis. This process provides a clear record for subsequent analysis, allowing specific anomaly data to be clearly referenced during discussions and reports.

[0112] Then, the morphology of the radiation anomaly is analyzed to determine the meaning of the morphological characteristics, wherein the anomaly characteristics include an abnormal distribution characteristic and an abnormal intensity characteristic.

[0113] Abnormal distribution characteristics: abnormal distribution area, abnormal location coordinates, abnormal distribution occurrence, etc.

[0114] Abnormal intensity characteristics: element category, radiation flux density value (radiation intensity value), abnormal depth range, etc.

[0115] Optionally, in the above features, element category, is to identify the element category of each abnormal area based on the radiation intensity and known geological characteristics. The identification of element category can help geologists understand the composition and properties of the ore body. This is crucial for mineral exploration, because different element distributions can indicate different types of mineral deposits, thus affecting exploration strategies and methods.

[0116] Optionally, in the above features, the radiation flux density value is the radiation flux density value (radiation intensity value) of each abnormal area. The radiation flux density value is a key indicator for evaluating the intensity of radiation anomalies and has a direct impact on subsequent analysis, visualization and decision-making.

[0117] Optionally, in the above features, the anomaly distribution area, the area of ​​each radiation anomaly area. Knowing the anomaly distribution area can help geologists assess the scale of the mineral deposit and make reasonable development plans and resource assessments.

[0118] Optionally, among the above features, the coordinates of the abnormal location, the geographical coordinates of each abnormal area, the recording of the geographical coordinates enables the abnormal area to be accurately located on the map, providing basic data for subsequent exploration and development.

[0119] Optionally, among the above characteristics, the occurrence of abnormal distribution is analyzed to analyze the geological characteristics of each abnormal area, including inclination, strike, etc. The occurrence information of abnormal distribution is very important for understanding the formation and evolution process of ore bodies, which helps to predict the location of other possible ore bodies and guide further exploration work.

[0120] Optionally, among the above features, the anomaly depth range, the depth range of each anomaly area, by understanding the depth distribution of the anomalies, the exploration team can more effectively design drilling plans and select appropriate mining technologies.

[0121] For example, suppose a lepton field radiation exploration is carried out in a mining area. After the mathematical model is established, the following results are obtained:

[0122] Anomaly number: Different radiation anomaly areas are numbered, such as "Anomaly 1", "Anomaly 2", etc.

[0123] Element category identification: It was found that "Anomaly 1" mainly contained uranium, and "Anomaly 2" mainly contained thorium.

[0124] Radiation flux density value record: The radiation intensity of "Abnormal 1" is recorded as 150Bq / m 2 , "Abnormal 2" is 80Bq / m 2 .

[0125] Calculation of abnormal distribution area: The area of ​​"anomaly 1" is 500 square meters, and the area of ​​"anomaly 2" is 300 square meters.

[0126] Anomaly location coordinate record: "Anomaly 1" is located at (longitude X1, latitude Y1), and "Anomaly 2" is located at (longitude X2, latitude Y2).

[0127] Anomaly distribution and occurrence analysis: The analysis shows that "Anomaly 1" is NW-SE trending with a dip of 30 degrees.

[0128] Anomaly Depth Range Estimate: The depth range of "Anomaly 1" is estimated to be 50-100 meters.

[0129] Through the above steps, a visualization model of mining resources was established, and the distribution characteristics of anomalies were automatically analyzed through mathematical models to improve the efficiency and accuracy of geological exploration information visualization.

[0130] This example demonstrates how this embodiment extracts subatomic field information through subatomic resonance, constructs a mathematical model of underground minerals based on subatomic information images, and automatically analyzes the distribution characteristics of anomalies through mathematical models to improve the efficiency and accuracy of geological exploration information visualization.

[0131] From the above description, it can be seen that the underground exploration information visualization method provided in the embodiment of the present application can obtain the original film of the remote sensing satellite image, determine the corresponding target material radiation image according to the preset subatomic field generator; perform image enhancement processing on the target material radiation image according to the nonlinear algorithm to determine the corresponding enhanced radiation image, perform a plane position calibration operation on the enhanced radiation image according to the preset geographic coordinates, and perform a vectorization operation on the image after the plane position calibration operation according to the preset vector algorithm to determine the corresponding target material digital map; construct a corresponding target material mathematical model according to the target material digital map, and realize target material visualization according to the target material mathematical model, thereby extracting subatomic fields based on remote sensing satellite images and using subatomic characteristics to visualize geological minerals, thereby improving the efficiency and accuracy of geological exploration information visualization.

[0132] In one embodiment of the underground exploration information visualization method of the present application, see Figure 2 , and can also include the following:

[0133] Step S201: performing a radiation operation on the original film according to a subatomic field having the same radiation frequency as the target material emitted by a preset subatomic field generator;

[0134] Step S202: receiving the subatomic field radiation resonance obtained after the radiation operation according to a preset subatomic filter, and performing a filtering operation on the subatomic field radiation resonance to determine the corresponding target substance radiation resonance.

[0135] Optionally, in this embodiment, this step is performed in a radioactive laboratory. The principle of radiation resonance is that when the leptons in a material body (such as rocks, ores, minerals, etc.) encounter energy fluctuations to form a resonance condition, they will show an energy difference response, thereby radiating a lepton field of a specific frequency. This radiation information can be captured and recorded by remote sensing equipment such as remote sensing satellites. The lepton field can absorb and re-emit radiation energy under the irradiation of a radiation source of a specific wavelength.

[0136] Since the subatomic field vibration frequencies of different substances are different, when extracting the subatomic resonance field, the vibration frequency of the subatomic field generator is selected according to the vibration frequency of the target substance in the vibration frequency spectrum of different substances, and the remote sensing satellite images are radiated to obtain the subatomic distributed radiation resonance field.

[0137] Next, the subatomic distributed radiation resonance field is projected onto the subatomic filter, and the radiation resonance of the target substance is accurately extracted through the filter and the gel of the substance to be collected arranged on the filter.

[0138] Optionally, in this embodiment, the subatomic filter can selectively filter radiation signals of specific wavelengths or energies, thereby extracting lepton radiation characteristics associated with the target material (such as an ore body). This enables the target signal to be more clearly identified in a complex background. In the process of data visualization, the subatomic filter can help generate clearer and more informative radiation images, allowing researchers to more intuitively understand the distribution and characteristics of the ore body.

[0139] Optionally, in this embodiment, the gel of the substance to be collected can effectively concentrate the minerals or compounds in the target sample, which is convenient for subsequent analysis, especially the extraction of trace elements, and focuses on improving sample processing and detection sensitivity, and is used in combination with spectral analysis, chromatographic analysis and other technologies to improve analysis efficiency and accuracy.

[0140] Through step S202, this embodiment obtains the distributed radiation resonance field for the target mineral material to be measured, laying a foundation for subsequent radiation image extraction.

[0141] In one embodiment of the underground exploration information visualization method of the present application, see Figure 3 , and can also include the following:

[0142] Step S301: performing an irradiation operation on a preset photosensitive film according to a preset radiation source, wherein the radiation source is arranged below the photosensitive film;

[0143] Step S302: determining a corresponding radiation image of the target substance according to the radiation resonance received by the irradiated photosensitive film.

[0144] Optionally, in this embodiment, the photosensitive film can respond to radiation energy. By irradiating the resonance of the radiation of the target material, the photosensitive film can record these radiation signals. The material selection and processing method of the photosensitive film make it sensitive to subtle changes in radiation.

[0145] During the experiment, a preset radiation source (such as a laser or other high-energy radiation source) will irradiate the photographic film. The purpose of this process is to enhance the signal and make the radiation characteristics of the target material more obvious. Through appropriate irradiation methods, changes in radiation flux can be effectively recorded.

[0146] When the photographic film receives the radiation signal, the radiation resonance forms corresponding images on the film. These images reflect the radiation characteristics of the target material, including radiation intensity and distribution pattern.

[0147] Preferably, the photosensitive film may be an X-ray film, and the radiation source below the photosensitive film may be an ultraviolet radiation source.

[0148] Through step S302, this embodiment obtains the subatomic radiation resonance image of the target substance, which provides a basis for the subsequent construction of a mathematical model to realize data visualization.

[0149] In one embodiment of the underground exploration information visualization method of the present application, see Figure 4 , and can also include the following:

[0150] Step S401: performing a denoising operation on the target material radiation image according to a nonlinear filtering algorithm to determine a corresponding first material radiation image;

[0151] Step S402: performing an image feature extraction operation on the radiation image of the first material according to a nonlinear image processing algorithm to determine a corresponding enhanced radiation image;

[0152] Optionally, in this embodiment, the nonlinear algorithm is a nonlinear image processing method, which refers to processing an image by using nonlinear mathematical operations and algorithms to improve the quality visualization effect of the image.

[0153] More specifically, nonlinear processing includes the following key links:

[0154] Image brightness and contrast adjustment: Through nonlinear transformation, the brightness and contrast of the image are optimized to make the image with abnormal radiation intensity distribution clearer and more visible.

[0155] Noise Removal: Apply nonlinear filtering technology to remove noise from images and improve the overall image quality.

[0156] Feature description: Use nonlinear image processing technology to perform image edge detection, image segmentation, image enhancement and image compression to better describe the features and structures in the image and improve the visual effect.

[0157] Through step S402, this embodiment successfully enhances the subatomic resonance image of the target substance and obtains an enhanced radiation image, which lays a solid foundation for subsequent digital map drawing and mathematical model establishment.

[0158] In one embodiment of the underground exploration information visualization method of the present application, see Figure 5 , and can also include the following:

[0159] Step S501: performing a vector conversion operation on the image after the plane position calibration operation according to a preset vector algorithm to determine corresponding image vector data;

[0160] Step S502: Determine a corresponding vectorized radiation image according to the image vector data.

[0161] Optionally, in this embodiment, a geoscientific vectorization program is used to vectorize the image after nonlinear processing and calibration. The vectorization process converts the raster image (pixel-based) into vector data (points, lines, and surfaces), making the data more flexible and accurate when displayed and analyzed. Vector data allows for more complex geological analysis and modeling, for example, making it easier to perform spatial analysis, overlay analysis, etc., and improving the usability of the data.

[0162] It is understood that vector data is a representation of geographic information using points, lines, and surfaces. For example, in mineral exploration, the radiation anomaly area of ​​a mining area can be represented by a polygon, and the boundary of this polygon is connected by multiple points (coordinates). Vector data usually has a higher accuracy because it uses coordinates to accurately locate specific geographic features.

[0163] As described above, the image after the plane position calibration operation is vector-converted using a vector algorithm to determine the vector data of the edge points of the image, and then a vector image can be drawn and generated based on the vector data.

[0164] Vector data include but are not limited to: boundary coordinates of the abnormal area (for example, the longitude and latitude of a point); abnormal type (such as elements such as uranium and thorium); radiation flux density value (such as radiation intensity per square meter).

[0165] Through step S502, this embodiment successfully vectorizes the calibrated enhanced radiation image, thereby improving the availability of data.

[0166] In one embodiment of the underground exploration information visualization method of the present application, see Figure 6 , and can also include the following:

[0167] Step S601: performing a digitization operation on the vectorized radiation image to determine a corresponding digitized radiation image;

[0168] Step S602: performing a digital map drawing operation according to the radiation flux density in the digitized radiation image to determine a corresponding target material digital map, wherein the target material digital map is used to display the spatial distribution of the radiation flux density.

[0169] Optionally, in this embodiment, relevant data is extracted from the vectorized image, including information such as the radiation flux density value, the abnormal distribution area, and the abnormal position coordinates.

[0170] The abnormal radiation range is divided according to the radiation flux density value, and the extracted range-related data is converted into digital format for storage and analysis by the computer system. These data are usually saved in the form of tables or databases. Using the GIS geographic information system, the digitized data is drawn into a digital map to show the spatial distribution of the radiation flux density.

[0171] Optionally, the process of converting to digital format means converting these vector data into digital form that can be processed by computers. Once the vector data is converted into digital format, researchers can easily use computer programs to perform spatial analysis of radiation intensity, generate heat maps, make model predictions, etc. For example: convert the coordinates of the boundary points of the polygon (such as (x1, y1), (x2, y2),...) into a digital array. Convert the radiation flux density value into numerical data for easy calculation and analysis.

[0172] Preferably, a software tool (such as QGIS, ArcGIS, etc.) is used to export the vector file into a digital format (such as CSV or GeoJSON), which can contain coordinate and attribute information.

[0173] Through step S602, this embodiment successfully digitizes the vectorized image and generates a digital map, which provides a solid data foundation for subsequent data visualization.

[0174] In one embodiment of the underground exploration information visualization method of the present application, see Figure 7 , and can also include the following:

[0175] Step S701: performing a numbering operation on the radiation flux density abnormal area in the target material digital map to determine the corresponding abnormal number;

[0176] Step S702: Analyze the abnormal area of ​​radiation flux density in the digital map of the target material to determine the corresponding abnormal characteristics, wherein the abnormal characteristics include at least one of abnormal distribution characteristics and abnormal intensity characteristics.

[0177] Step S703: constructing a corresponding mathematical model of the target substance according to the abnormal number and the abnormal feature, and realizing visualization of the target substance according to the mathematical model of the target substance.

[0178] Optionally, in this embodiment, a mathematical model is established for the digitized radiation anomaly distribution map, including anomaly number, element category, radiation flux density value (radiation intensity value), anomaly distribution area, anomaly position coordinates, anomaly distribution occurrence, anomaly depth range, etc.

[0179] More specifically, the model is built by first numbering the extracted radiation anomaly data and assigning a unique identifier to each anomaly area. The anomaly number helps to systematically manage each radiation anomaly and facilitate subsequent data processing and analysis. This process provides a clear record for subsequent analysis, allowing specific anomaly data to be clearly referenced during discussions and reports.

[0180] Then, the morphology of the radiation anomaly is analyzed to determine the meaning of the morphological characteristics, wherein the anomaly characteristics include an abnormal distribution characteristic and an abnormal intensity characteristic.

[0181] Abnormal distribution characteristics: abnormal distribution area, abnormal location coordinates, abnormal distribution occurrence, etc.

[0182] Abnormal intensity characteristics: element category, radiation flux density value (radiation intensity value), abnormal depth range, etc.

[0183] Optionally, in the above features, element category, is to identify the element category of each abnormal area based on the radiation intensity and known geological characteristics. The identification of element category can help geologists understand the composition and properties of the ore body. This is crucial for mineral exploration, because different element distributions can indicate different types of mineral deposits, thus affecting exploration strategies and methods.

[0184] Optionally, in the above features, the radiation flux density value is the radiation flux density value (radiation intensity value) of each abnormal area. The radiation flux density value is a key indicator for evaluating the intensity of radiation anomalies and has a direct impact on subsequent analysis, visualization and decision-making.

[0185] Optionally, in the above features, the anomaly distribution area, the area of ​​each radiation anomaly area. Knowing the anomaly distribution area can help geologists assess the scale of the mineral deposit and make reasonable development plans and resource assessments.

[0186] Optionally, among the above features, the coordinates of the abnormal location, the geographical coordinates of each abnormal area, the recording of the geographical coordinates enables the abnormal area to be accurately located on the map, providing basic data for subsequent exploration and development.

[0187] Optionally, among the above characteristics, the occurrence of abnormal distribution is analyzed to analyze the geological characteristics of each abnormal area, including inclination, strike, etc. The occurrence information of abnormal distribution is very important for understanding the formation and evolution process of ore bodies, which helps to predict the location of other possible ore bodies and guide further exploration work.

[0188] Optionally, among the above features, the anomaly depth range, the depth range of each anomaly area, by understanding the depth distribution of the anomalies, the exploration team can more effectively design drilling plans and select appropriate mining technologies.

[0189] Through step S703, this embodiment successfully establishes a visualization model of mining resources, automatically analyzes the distribution characteristics of anomalies through mathematical models, and improves the efficiency and accuracy of geological exploration information visualization.

[0190] In order to extract subatomic fields based on remote sensing satellite images and visualize geological minerals using subatomic properties, and improve the efficiency and accuracy of geological exploration information visualization, the present application provides an embodiment of an underground exploration information visualization device for realizing all or part of the contents of the underground exploration information visualization method, see Figure 8 The underground exploration information visualization device specifically includes the following contents:

[0191] The form feature extraction module 10 is used to obtain the original negative film of the remote sensing satellite image, perform radiation operation on the original negative film according to a preset subatomic field generator, determine the corresponding target material radiation resonance, receive the target material radiation resonance according to a preset photosensitive film, and determine the corresponding target material radiation image;

[0192] The model training module 20 is used to perform image enhancement processing on the radiation image of the target material according to a nonlinear algorithm, determine the corresponding enhanced radiation image, perform a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, perform a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm, determine the corresponding vectorized radiation image, digitize the vectorized radiation image, and perform a digital map drawing operation based on the digitized radiation image obtained after the digitization operation to determine the corresponding digital map of the target material;

[0193] The prediction and maintenance optimization module 30 is used to construct a corresponding mathematical model of the target substance according to the digital map of the target substance, and realize the visualization of the target substance according to the mathematical model of the target substance.

[0194] From the above description, it can be seen that the underground exploration information visualization device provided in the embodiment of the present application can obtain the original film of the remote sensing satellite image, determine the corresponding target material radiation image according to the preset subatomic field generator; perform image enhancement processing on the target material radiation image according to the nonlinear algorithm to determine the corresponding enhanced radiation image, perform a plane position calibration operation on the enhanced radiation image according to the preset geographic coordinates, and perform a vectorization operation on the image after the plane position calibration operation according to the preset vector algorithm to determine the corresponding target material digital map; construct a corresponding target material mathematical model according to the target material digital map, and realize target material visualization according to the target material mathematical model, thereby extracting subatomic fields based on remote sensing satellite images and using subatomic characteristics to visualize geological minerals, thereby improving the efficiency and accuracy of geological exploration information visualization.

[0195] From the hardware level, in order to extract subatomic fields based on remote sensing satellite images and visualize geological minerals using subatomic properties, and improve the efficiency and accuracy of geological exploration information visualization, the present application provides an embodiment of an electronic device for implementing all or part of the content of the underground exploration information visualization method, and the electronic device specifically includes the following content:

[0196] 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 underground exploration information visualization method and related devices such as the core business system, user terminal and related database; 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 underground exploration information visualization method in the embodiment and the embodiment of the underground exploration information visualization method, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0197] 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.

[0198] In practical applications, part of the underground exploration information visualization method can be executed on the electronic device side as described above, or all operations can be completed in the client device. The selection can be made 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.

[0199] 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.

[0200] Fig. 9 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Fig. 9 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. 9 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0201] In one embodiment, the underground exploration information visualization method function may be integrated into the central processing unit 9100. The central processing unit 9100 may be configured to perform the following control:

[0202] Step S101: obtaining an original negative of a remote sensing satellite image, performing a radiation operation on the original negative according to a preset subatomic field generator to determine a corresponding radiation resonance of a target substance, receiving the radiation resonance of the target substance according to a preset photosensitive film, and determining a corresponding radiation image of the target substance;

[0203] Step S102: performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm to determine a corresponding enhanced radiation image, performing a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image, performing a digitization operation on the vectorized radiation image, and performing a digital map drawing operation based on the digitized radiation image obtained after the digitization operation to determine a corresponding digital map of the target material;

[0204] Step S103: constructing a corresponding mathematical model of the target substance according to the digital map of the target substance, and realizing visualization of the target substance according to the mathematical model of the target substance.

[0205] From the above description, it can be seen that the electronic device provided in the embodiment of the present application obtains the original film of the remote sensing satellite image, determines the corresponding target material radiation image according to the preset subatomic field generator; performs image enhancement processing on the target material radiation image according to a nonlinear algorithm to determine the corresponding enhanced radiation image, performs a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, and performs a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine the corresponding target material digital map; constructs a corresponding target material mathematical model according to the target material digital map, and realizes target material visualization according to the target material mathematical model, thereby extracting subatomic fields based on remote sensing satellite images and visualizing geological minerals using subatomic characteristics, thereby improving the efficiency and accuracy of geological exploration information visualization.

[0206] In another embodiment, the underground exploration information visualization method can be configured separately from the central processing unit 9100. For example, the underground exploration information visualization method can be configured as a chip connected to the central processing unit 9100, and the functions of the underground exploration information visualization method are realized through the control of the central processing unit.

[0207] like Fig. 9 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. 9 In addition, the electronic device 9600 may also include Fig. 9 For components not shown, reference may be made to the prior art.

[0208] like Fig. 9 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.

[0209] 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.

[0210] 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.

[0211] 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.

[0212] 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.).

[0213] 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.

[0214] 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.

[0215] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the underground exploration information visualization method 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 underground exploration information visualization method in the above-mentioned embodiments are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0216] Step S101: obtaining an original negative of a remote sensing satellite image, performing a radiation operation on the original negative according to a preset subatomic field generator to determine a corresponding radiation resonance of a target substance, receiving the radiation resonance of the target substance according to a preset photosensitive film, and determining a corresponding radiation image of the target substance;

[0217] Step S102: performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm to determine a corresponding enhanced radiation image, performing a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image, performing a digitization operation on the vectorized radiation image, and performing a digital map drawing operation based on the digitized radiation image obtained after the digitization operation to determine a corresponding digital map of the target material;

[0218] Step S103: constructing a corresponding mathematical model of the target substance according to the digital map of the target substance, and realizing visualization of the target substance according to the mathematical model of the target substance.

[0219] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application obtains the original film of the remote sensing satellite image, determines the corresponding target material radiation image according to the preset subatomic field generator; performs image enhancement processing on the target material radiation image according to a nonlinear algorithm to determine the corresponding enhanced radiation image, performs a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, and performs a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine the corresponding target material digital map; constructs a corresponding target material mathematical model according to the target material digital map, and realizes target material visualization according to the target material mathematical model, thereby extracting subatomic fields based on remote sensing satellite images and visualizing geological minerals using subatomic characteristics, thereby improving the efficiency and accuracy of geological exploration information visualization.

[0220] The embodiments of the present application also provide a computer program product capable of implementing all the steps of the underground exploration information visualization method in the above-mentioned embodiment, where the execution subject is a server or a client. When the computer program / instruction is executed by a processor, the steps of the underground exploration information visualization method are implemented. For example, the computer program / instruction implements the following steps:

[0221] Step S101: obtaining an original negative of a remote sensing satellite image, performing a radiation operation on the original negative according to a preset subatomic field generator to determine a corresponding radiation resonance of a target substance, receiving the radiation resonance of the target substance according to a preset photosensitive film, and determining a corresponding radiation image of the target substance;

[0222] Step S102: performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm to determine a corresponding enhanced radiation image, performing a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image, performing a digitization operation on the vectorized radiation image, and performing a digital map drawing operation based on the digitized radiation image obtained after the digitization operation to determine a corresponding digital map of the target material;

[0223] Step S103: constructing a corresponding mathematical model of the target substance according to the digital map of the target substance, and realizing visualization of the target substance according to the mathematical model of the target substance.

[0224] From the above description, it can be seen that the computer program product provided in the embodiment of the present application obtains the original negative of the remote sensing satellite image, determines the corresponding target material radiation image according to the preset subatomic field generator; performs image enhancement processing on the target material radiation image according to a nonlinear algorithm to determine the corresponding enhanced radiation image, performs a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, and performs a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine the corresponding target material digital map; constructs a corresponding target material mathematical model according to the target material digital map, and realizes target material visualization according to the target material mathematical model, thereby extracting subatomic fields based on remote sensing satellite images and visualizing geological minerals using subatomic characteristics, thereby improving the efficiency and accuracy of geological exploration information visualization.

[0225] 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.

[0226] 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.

[0227] 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 comprising 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.

[0228] 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.

[0229] 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 underground exploration information, characterized in that: The method comprises: Acquire an original negative of a remote sensing satellite image, perform a radiation operation on the original negative according to a preset subatomic field generator, determine a corresponding radiation resonance of a target substance, receive the radiation resonance of the target substance according to a preset photosensitive film, and determine a corresponding radiation image of the target substance; Performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm to determine a corresponding enhanced radiation image, performing a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image, digitizing the vectorized radiation image, and performing a digital map drawing operation based on the digitized radiation image obtained after the digitization operation to determine a corresponding digital map of the target material; A corresponding mathematical model of the target substance is constructed according to the digital map of the target substance, and visualization of the target substance is achieved according to the mathematical model of the target substance.

2. The underground exploration information visualization method according to claim 1, characterized in that: The step of performing a radiation operation on the original film according to a preset subatomic field generator to determine the corresponding radiation resonance of the target substance includes: Performing a radiation operation on the original film according to a subatomic field emitted by a preset subatomic field generator having the same radiation frequency as that of the target material; The subatomic field radiation resonance obtained after the radiation operation is received according to a preset subatomic filter, and the subatomic field radiation resonance is filtered to determine the corresponding target substance radiation resonance.

3. The underground exploration information visualization method according to claim 1, characterized in that: The receiving the radiation resonance of the target substance according to the preset photosensitive film and determining the corresponding radiation image of the target substance includes: Performing an irradiation operation on a preset photosensitive film according to a preset radiation source, wherein the radiation source is arranged below the photosensitive film; According to the radiation resonance of the target substance received by the irradiated photosensitive film, a corresponding radiation image of the target substance is determined.

4. The underground exploration information visualization method according to claim 1, characterized in that: The performing image enhancement processing on the radiation image of the target material according to the nonlinear algorithm to determine the corresponding enhanced radiation image includes: Performing a denoising operation on the target material radiation image according to a nonlinear filtering algorithm to determine a corresponding first material radiation image; An image feature extraction operation is performed on the radiation image of the first material according to a nonlinear image processing algorithm to determine a corresponding enhanced radiation image.

5. The underground exploration information visualization method according to claim 1, characterized in that: The performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm to determine a corresponding vectorized radiation image includes: Performing a vector conversion operation on the image after the plane position calibration operation according to a preset vector algorithm to determine corresponding image vector data; A corresponding vectorized radiation image is determined according to the image vector data.

6. The underground exploration information visualization method according to claim 1, characterized in that: The step of performing a digitization operation on the vectorized radiation image and performing a digital map drawing operation on the digitized radiation image obtained after the digitization operation to determine a corresponding digital map of the target material includes: Performing a digitization operation on the vectorized radiation image to determine a corresponding digitized radiation image; A digital map drawing operation is performed according to the radiation flux density in the digitized radiation image to determine a corresponding target material digital map, wherein the target material digital map is used to display the spatial distribution of the radiation flux density.

7. The underground exploration information visualization method according to claim 1, characterized in that: The step of constructing a corresponding mathematical model of the target substance according to the digital map of the target substance, and realizing visualization of the target substance according to the mathematical model of the target substance, comprises: Numbering the radiation flux density abnormal areas in the target material digital map to determine corresponding abnormal numbers; Performing an analysis operation on the abnormal radiation flux density area in the target material digital map to determine the corresponding abnormal characteristics, wherein the abnormal characteristics include at least one of abnormal distribution characteristics and abnormal intensity characteristics; A corresponding mathematical model of the target substance is constructed according to the abnormal number and the abnormal characteristics, and visualization of the target substance is achieved according to the mathematical model of the target substance.

8. An underground exploration information visualization device, characterized in that: The device comprises: A radiation information extraction module is used to obtain the original negative film of the remote sensing satellite image, perform a radiation operation on the original negative film according to a preset subatomic field generator, determine the corresponding radiation resonance of the target material, receive the radiation resonance of the target material according to a preset photosensitive film, and determine the corresponding radiation image of the target material; a radiation map drawing module, used for performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm, determining a corresponding enhanced radiation image, performing a plane position calibration operation on the enhanced radiation image according to preset geographic coordinates, performing a vectorization operation on the image after the plane position calibration operation according to a preset vector algorithm, determining a corresponding vectorized radiation image, digitizing the vectorized radiation image, and performing a digital map drawing operation based on the digitized radiation image obtained after the digitization operation, to determine a corresponding digital map of the target material; The radiation information visualization module is used to construct a corresponding mathematical model of the target substance according to the digital map of the target substance, and realize visualization of the target substance according to the mathematical model of the target substance.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the underground exploration information visualization method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the underground exploration information visualization method described in any one of claims 1 to 7 are implemented.

Images