Ore body three-dimensional modeling method and device

Abstract

The invention provides an ore body three-dimensional modeling method and device, relates to the technical field of earth detection and information, and realizes fine simulation of dynamic behaviors of an ore body under different temperature and pressure conditions by introducing a volume change evaluation index and a reaction change evaluation index; the precision and the dynamic response capability of the three-dimensional model are improved, so that the actual condition of the ore body can be reflected more truly; the evaluation indexes of the volume change and the reaction change are integrated, more scientific and comprehensive decision support is provided for managers, the mining production process is optimized, and the overall operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of earth exploration and information technology, and specifically to a three-dimensional modeling method and device for ore bodies. Background Art

[0002] Three-dimensional modeling technology has been widely used in the fields of geological exploration and ore body research. Early three-dimensional modeling of ore bodies mainly relied on surface mapping and a limited number of borehole data. Although this method reflected the distribution of ore bodies to a certain extent, due to insufficient data, the accuracy and reliability of the model had great limitations. With the continuous progress of geophysical exploration technology, remote sensing technology, and computer technology, three-dimensional modeling of ore bodies has gradually shifted to a more refined comprehensive method, such as introducing high-resolution seismic imaging, geomagnetic measurement, and gravity measurement. These new technologies can provide richer underground information, thus greatly improving the accuracy of three-dimensional models;

[0003] In the prior art, the publication number is CN102279980A, and the name is a three-dimensional modeling method and device for geological exploration ore bodies. The method includes: Step 1, determining the upper and lower boundaries of the ore body according to the exploration engineering to obtain the ore body upper and lower boundaries; Step 2, projecting the exploration engineering onto the exploration section, and connecting the upper and lower boundaries of the ore body on the exploration section to obtain the geological body boundary of the ore body on the exploration section; Step 3, connecting the geological body boundaries between the exploration sections with a three-dimensional surface to obtain the three-dimensionally reconstructed geological body. This method can realize geological three-dimensional modeling from boreholes to sections to surfaces and finally to entities;

[0004] Although the existing three-dimensional modeling technology has made remarkable progress, it still faces many challenges in dealing with the dynamic behavior of ore bodies under temperature and pressure changes. The existing three-dimensional models are mainly based on static data, lacking effective characterization of the dynamic changes in mineral composition and the volume changes of ore bodies, and unable to accurately predict the behavior of ore bodies during mining. This limitation has led to low utilization rate of ore body resources, frequent unforeseen problems during mining, and affected the economic efficiency and safety of mining production.

[0005] The above information disclosed in the background art section is only used to enhance the understanding of the background of the present disclosure, and thus it may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide a three-dimensional modeling method and device for ore bodies to solve the problems raised in the above background art.

[0007] To achieve the above purpose, the present invention provides the following technical solutions:

[0008] The three-dimensional modeling method for ore bodies specifically includes the following steps:

[0009] Step S1: Determine the ore body research area and collect the geological exploration data of this area. The geological exploration data includes mineral composition, initial volume of the ore body, and geological mapping data. Based on these data, construct a three-dimensional model of the current ore body research area;

[0010] Step S2: Collect the core samples of the ore body in Step S1, and measure the volume change data of the core samples under increasing temperature or pressure;

[0011] Step S3: Calculate the volume change rate of the core samples in Step S2 after each increase in temperature or pressure respectively, and analyze by combining these volume change rates, and comprehensively generate a volume change evaluation index;

[0012] Step S4: Measure the reaction rate of the mineral composition of the core samples under increasing temperature or pressure;

[0013] Step S5: Calculate the reaction rate change rate of the mineral composition of the core samples in Step S4 after each increase in temperature or pressure respectively, and analyze by combining these reaction rate change rates, and comprehensively generate a reaction change evaluation index;

[0014] Step S6: Combine and analyze the volume change evaluation index and the reaction change evaluation index, and comprehensively generate a fine-tuning strategy for adjusting the three-dimensional model of the ore body research area.

[0015] Further, comprehensively generate a fine-tuning strategy for adjusting the three-dimensional model of the ore body research area, specifically including:

[0016] Calibrate the output value of the fine-tuning strategy as FineTuning, and the calculation formula is as follows:

[0017]

[0018] where I V is the volume change evaluation index, and I R is the reaction change evaluation index;

[0019] The value range of the output value FineTuning of the fine-tuning strategy is (0, 1), and this interval is divided into the following intervals;

[0020] Interval 1 (0, 0.25], indicating that the three-dimensional model of the current ore body research area needs to be adjusted at the first level;

[0021] The first-level adjustment specifically includes:

[0022] Re-collect and analyze more than 50% of the mineral composition samples, initial volume data of the ore body, and geological mapping data; for the grid resolution, number of sampling points, and sampling point spacing in the three-dimensional model, respectively perform the current values of and Adjustment;

[0023] Interval two (0.25, 0.5], indicating that the three-dimensional model of the current ore body research area needs secondary adjustment;

[0024] The secondary adjustment specifically includes:

[0025] Re-measure and analyze 25% - 50% of the mineral composition samples, the initial ore body volume data, and the geological mapping data;

[0026] For the grid resolution, the number of sampling points, and the sampling point spacing in the three-dimensional model, respectively perform the current value of and Adjustment;

[0027] Interval three (0.5, 0.75], indicating that the three-dimensional model of the current ore body research area needs tertiary adjustment;

[0028] The tertiary adjustment specifically includes:

[0029] Re-measure and analyze 10% - 25% of the mineral composition samples, the initial ore body volume data, and the geological mapping data;

[0030] For the grid resolution, the number of sampling points, and the sampling point spacing in the three-dimensional model, respectively perform the current value of and Adjustment;

[0031] Interval four (0.75, 1), indicating that the three-dimensional model of the current ore body research area needs quaternary adjustment;

[0032] The quaternary adjustment specifically includes:

[0033] Re-measure and analyze 0% - 10% of the mineral composition samples, the initial ore body volume data, and the geological mapping data;

[0034] For the grid resolution, the number of sampling points, and the sampling point spacing in the three-dimensional model, respectively perform the current value of and Adjustment.

[0035] An ore body three-dimensional modeling device, the device is used to execute the described ore body three-dimensional modeling method, including:

[0036] Three-dimensional model construction module: used to determine the ore body research area and collect the geological exploration data of this area, the geological exploration data includes mineral composition, initial ore body volume, and geological mapping data, and based on these data, construct the three-dimensional model of the current ore body research area;

[0037] The first measurement module: It is used to collect core samples of the ore body and measure the volume change data of the core samples under increasing temperature or pressure;

[0038] The volume change evaluation index generation module: It is used to calculate the volume change rate of the core samples after each increase in temperature or pressure respectively, and analyze by combining these volume change rates, and comprehensively generate a volume change evaluation index;

[0039] The second measurement module: It is used to measure the reaction rate of the mineral composition of the core samples under increasing temperature or pressure;

[0040] The reaction change evaluation index generation module: It is used to calculate the reaction rate change rate of the mineral composition of the core samples after each increase in temperature or pressure respectively, and analyze by combining these reaction rate change rates, and comprehensively generate a reaction change evaluation index;

[0041] The fine-tuning module: It is used to combine and analyze the volume change evaluation index and the reaction change evaluation index, and comprehensively generate a fine-tuning strategy for adjusting the three-dimensional model of the ore body research area.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows: By introducing the volume change evaluation index and the reaction change evaluation index, the fine simulation of the dynamic behavior of the ore body under different temperature and pressure conditions is realized; The accuracy and dynamic response ability of the three-dimensional model are improved, enabling it to more realistically reflect the actual situation of the ore body; The evaluation indexes of comprehensive volume change and reaction change provide more scientific and comprehensive decision-making support for managers, optimize the mining production process, and improve the overall operation efficiency. Description of the Drawings

[0043] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0044] Figure 2 It is a block diagram of the modules of the device of the present invention. Detailed Embodiments

[0045] In order to make the purpose, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with specific embodiments.

[0046] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention shall have the ordinary meanings understood by those of ordinary skill in the field to which the present invention pertains. The "first", "second" and similar terms used in the present invention do not denote any order, quantity or importance, but are only used to distinguish different components. Words such as "comprising" or "including" mean that the elements or objects appearing before this word cover the elements or objects listed after this word and their equivalents, without excluding other elements or objects. Words such as "connected" or "linked" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Upper", "lower", "left", "right", etc. are only used to represent relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0047] Embodiment 1:

[0048] Please refer to Figure 1 , the present invention provides a technical solution:

[0049] A three-dimensional modeling method for ore bodies, the specific steps include:

[0050] Step S1: Determine the ore body research area and collect the geological exploration data of this area. The geological exploration data includes mineral composition, initial volume of the ore body and geological mapping data, and based on these data, construct a three-dimensional model of the current ore body research area;

[0051] Step S2: Collect representative core samples of the ore body in Step S1, and measure the volume change data of the core samples under increasing temperature or pressure;

[0052] Step S3: Calculate the volume change rate of the core samples in Step S2 after each increase in temperature or pressure respectively, and analyze by combining these volume change rates, and comprehensively generate a volume change evaluation index;

[0053] Step S4: Measure the mineral composition reaction rate of the core samples under increasing temperature or pressure;

[0054] Step S5: Calculate the reaction rate change rate of the mineral composition of the core samples in Step S4 after each increase in temperature or pressure respectively, and analyze by combining these reaction rate change rates, and comprehensively generate a reaction change evaluation index;

[0055] Step S6: Combine and analyze the volume change evaluation index and the reaction change evaluation index, and comprehensively generate a fine-tuning strategy for adjusting the three-dimensional model of the ore body research area.

[0056] Further elaboration: Determine the ore body research area and collect geological exploration data of this area. The geological exploration data includes mineral composition, initial volume of the ore body, and geological mapping data. Based on these data, construct a three-dimensional model of the current ore body research area, specifically including:

[0057] In step S1, the representative core samples of the ore body are determined according to the expert group;

[0058] Determine the boundary of the ore body research area through Geographic Information System (GIS); Use the existing mine maps and satellite image data to clarify the geographical coordinates and boundary range of the ore body research area;

[0059] After determining the research area, use X-ray fluorescence spectrometer (XRF) and electron probe microanalysis (EPMA) equipment to analyze the core samples in the research area to obtain mineral composition data; The specific operation steps are as follows:

[0060] Layout boreholes in the research area to obtain core samples;

[0061] Prepare the collected core samples into thin sections for XRF and EPMA analysis;

[0062] Record the mineral composition data at the positions of each borehole and mark it in the three-dimensional coordinate system; The mineral composition data includes mineral composition ratio, mineral density, and mineral hardness;

[0063] Use a laser rangefinder and a terrestrial laser scanner to measure the initial volume of the ore body; The specific operation steps are as follows:

[0064] Layout scanning points in the ore body research area for all-round laser scanning to establish the initial three-dimensional point cloud data of the ore body;

[0065] Data processing: Use point cloud processing software to process the initial point cloud data into a three-dimensional model and calculate the initial volume of the ore body;

[0066] Through geological mapping technology, obtain the geological mapping data of the ore body research area. The geological mapping data includes underlying thickness, fault distribution, geological structure, and stratigraphic unit boundary; The specific operation steps are as follows:

[0067] 1. Geological mapping: Conduct detailed geological mapping in the research area and record geological structure features such as faults and folds;

[0068] 2. Data collation: Integrate the geological mapping data with the mineral composition data and the initial volume data to establish a comprehensive geological model;

[0069] Import the mineral composition data, initial volume data, and geological mapping data into 3D modeling software. In this embodiment, the 3D modeling software is selected from Surpac, Leapfrog, or MICROMINE for data fusion;

[0070] Use the interpolation algorithm in the 3D modeling software. The interpolation algorithm includes the Inverse Distance Weighting (IDW) method and the Kriging method to construct a 3D model; the 3D model includes model parameters such as grid resolution, number of sampling points, and sampling point spacing;

[0071] Verify the accuracy and reliability of the 3D model through cross-validation and geological expert review;

[0072] Export the final 3D model into a visualization file format. The visualization file format includes 3DPDF, OBJ, or STL.

[0073] Further illustrate that the number of increments for both temperature and pressure is set to n, forming an increasing sequence {1, 2,..., i,..., n}, where i represents the i-th increment; and the initial values of temperature and pressure are set to T0 and P0 respectively; the increment amplitudes of temperature and pressure each time are set to q1 and q2 respectively;

[0074] Use a 3D scanner to measure the initial volume of the core sample as V0;

[0075] Based on the pressure value of P0, mark the temperature value of the i-th increment as T i , and T i = T0 + q1 × i; record the volume of the core sample at the temperature value T i as

[0076] Based on the temperature value of T0, mark the pressure value of the i-th increment as P i , and P i = P0 + q2 × i; record the volume of the core sample at the pressure value P i as

[0077] The construction of the volume change evaluation index specifically includes:

[0078] Use a high-temperature and high-pressure reactor, which has precise temperature and pressure control functions;

[0079] Express the volume change rate of the core sample after each increment of temperature or pressure using the following calculation formula:

[0080]

[0081] where X ∈ {T, P}; is the volume change rate, and It represents the volume change rate of the core sample after the i-th temperature value increases; It represents the volume change rate of the core sample after the i-th pressure value increase;

[0082] The increasing sequence {1,2,…,i,…,n} is divided into the first segment sequence {1,2,…,k} and the second segment sequence {k+1,k+2,…,n} in sequence;

[0083] Calculate the average volume change rate for the first sequence:

[0084]

[0085] in, is the average volume change rate of the first sequence, k is the dividing point, which is the middle value of the current increasing sequence;

[0086] Calculate the average volume change rate of the second sequence:

[0087]

[0088] in, is the average volume change rate of the second sequence;

[0089] Define the volume change evaluation index as I V , the calculation formula is as follows:

[0090]

[0091] Where η1 is the adjustment constant; 0.15≤η1≤0.68; set the volume change evaluation index I V The value range of is (0,1);

[0092] When I V The closer it is to 0, the lower the volume change rate of the core sample in the first half of the temperature or pressure increase than that in the second half; this means that the volume change of the core sample is relatively slow under lower temperature or pressure conditions, and the volume change becomes more significant as the temperature or pressure increases;

[0093] When I V The closer it is to 1, the higher the volume change rate of the core sample in the first half of the temperature or pressure increase is than that in the second half. This means that the volume change of the core sample is more dramatic under lower temperature or pressure conditions, while the volume change tends to be gentler as the temperature or pressure increases.

[0094] Further explanation: Analyze by combining the corresponding reaction rate change rate of temperature and pressure after each increase, and comprehensively generate a reaction change evaluation index; specifically including:

[0095] Measure the reaction rate of mineral components in the core sample under the condition of increasing temperature or pressure;

[0096] Mineral components include but are not limited to: quartz Potassium feldspar Albite Muscovite Calcite Diopside

[0097] Classify the mineral components by category to form a classification sequence {1, 2,..., j,..., m}, where j represents the index of the jth type of mineral component, and m represents the total number of mineral component categories;

[0098] Use X-ray diffraction (XRD) instrument and scanning electron microscope (SEM) to conduct initial mineral composition analysis on the core sample to record the initial mineral composition;

[0099] After the i-th increase in temperature or pressure, the calculation formula for the average reaction rate of mineral components is expressed as:

[0100]

[0101] Among them, C j (T i ) represents the mass fraction of the jth mineral component in the temperature value T i in the i-th increase; C j (P i ) represents the mass fraction of the jth mineral component in the pressure value P i in the i-th increase, R(T i ) is the average reaction rate of the mineral components of the core sample after the i-th temperature increase, and R(P i ) is the average reaction rate of the mineral components of the core sample after the i-th pressure increase;

[0102] Reaction rate change rate formula:

[0103]

[0104] Among them, QV1 i is the reaction rate change rate of the mineral components of the core sample after the i-th temperature increase; QV2 i is the reaction rate change rate of the mineral components of the core sample after the i-th pressure increase;

[0105] Obtain the first-segment sequence {1, 2, …, k} and the second-segment sequence {k + 1, k + 2, …, n} into which the increasing sequence {1, 2, …, i, …, n} is successively divided;

[0106] Rate of change of the average reaction rate in the first segment:

[0107]

[0108] Rate of change of the average reaction rate in the second segment:

[0109]

[0110] where k is the division point, and DV1 and DV2 are the rates of change of the average reaction rates in the first and second segments respectively;

[0111] Define the reaction change evaluation index as I R , and the calculation formula is as follows;

[0112]

[0113] where η2 is an adjustment constant term; 0.01 ≤ η2 ≤ 0.77; set the value range of I R to be in (0, 1);

[0114] I R The closer it is to 0, the smaller the change in the reaction rate represented by the mineral composition in the first half of the increasing temperature or pressure, and the greater the change in the reaction rate in the second half; this indicates that the mineral reaction is relatively slow under lower temperature or pressure conditions, but as the temperature or pressure increases, the reaction rate becomes faster;

[0115] I R The closer it is to 1, the greater the change in the reaction rate represented by the mineral composition in the first half of the increasing temperature or pressure, and the smaller the change in the reaction rate in the second half. This indicates that the mineral reaction is relatively intense under lower temperature or pressure conditions, but as the temperature or pressure increases, the reaction rate tends to level off.

[0116] Furthermore, a fine-tuning strategy for adjusting the three-dimensional model of the ore body research area is comprehensively generated, specifically including:

[0117] Calibrate the output value of the fine-tuning strategy as FineTuning, and the calculation formula is as follows:

[0118]

[0119] where I V is the volume change evaluation index, and I R is the reaction change evaluation index;

[0120] The value range of the output value of the FineTuning strategy is (0, 1), and this interval is divided into the following intervals;

[0121] Interval 1 (0, 0.25], indicating that the 3D model of the current ore body research area needs to be adjusted at the first level;

[0122] The first-level adjustment specifically includes:

[0123] Re-collect and analyze more than 50% of the mineral composition samples, initial ore body volume data, and geological mapping data;

[0124] For the grid resolution, number of sampling points, and sampling point spacing in the 3D model, perform the current value of

[0125] Interval 2 (0.25, 0.5], indicating that the 3D model of the current ore body research area needs to be adjusted at the second level;

[0126] The second-level adjustment specifically includes:

[0127] Re-measure and analyze 25% - 50% of the mineral composition samples, initial ore body volume data, and geological mapping data;

[0128] For the grid resolution, number of sampling points, and sampling point spacing in the 3D model, perform the current value of and adjustment;

[0129] Interval 3 (0.5, 0.75], indicating that the 3D model of the current ore body research area needs to be adjusted at the third level;

[0130] The third-level adjustment specifically includes:

[0131] Re-measure and analyze 10% - 25% of the mineral composition samples, initial ore body volume data, and geological mapping data; for the grid resolution, number of sampling points, and sampling point spacing in the 3D model, perform the current value of and adjustment;

[0132] Interval 4 (0.75, 1), indicating that the 3D model of the current ore body research area needs to be adjusted at the fourth level;

[0133] The fourth-level adjustment specifically includes:

[0134] Re-measure and analyze 0% - 10% of the mineral composition samples, initial ore body volume data, and geological mapping data;

[0135] For the grid resolution, number of sampling points, and sampling point spacing in the 3D model, perform the current value of and Adjustment.

[0136] When I V increases, the value of FineTuning, the output value of the fine-tuning strategy, increases, and the corresponding model needs to reduce the adjustment;

[0137] When the volume change rate rises by 10%, the FineTuning value increases by 5%;

[0138] The change rate of the reaction rate remains unchanged or the change amount is below 5%;

[0139] When I R increases, the value of FineTuning, the output value of the fine-tuning strategy, increases, and the corresponding model needs to reduce the adjustment;

[0140] When the change rate of the reaction rate rises by 10%, the FineTuning value increases by 5%;

[0141] The volume change rate remains unchanged or the change amount is less than 5%.

[0142] Improve the model accuracy and dynamic response ability: By introducing the volume change evaluation index and the reaction change evaluation index, the dynamic behavior of the ore body under different temperature and pressure conditions can be more accurately simulated. This improves the accuracy of the 3D model and enables it to more realistically reflect the actual ore body situation.

[0143] Enhance production safety: The dynamic model can predict potential dangerous situations during the mining process, such as ore body instability, collapse, etc. By giving early warnings and adjusting the mining strategy, the production risk can be effectively reduced and the safety of workers can be guaranteed.

[0144] Reduce unforeseen problems: Existing static models will encounter unforeseen problems during the mining process, while the dynamic model can more comprehensively consider the performance of the ore body under different environmental conditions, thereby reducing the occurrence frequency of these problems and enhancing the continuity and stability of production.

[0145] Provide scientific decision-making support: By comprehensively considering the volume change evaluation index and the reaction change evaluation index, managers can obtain more scientific and comprehensive decision-making support. This helps to optimize the mining production process and improve the overall operation efficiency.

[0146] Example Two:

[0147] Please refer to Figure 2 , a three-dimensional ore body modeling device, which is used to execute the three-dimensional ore body modeling method described above, including:

[0148] 3D Model Construction Module: It is used to determine the ore body research area and collect the geological exploration data of this area. The geological exploration data includes mineral composition, initial volume of the ore body, and geological mapping data. Based on these data, a 3D model of the current ore body research area is constructed;

[0149] First Measurement Module: It is used to collect representative core samples of the ore body and measure the volume change data of the core samples under increasing temperature or pressure;

[0150] Volume Change Evaluation Index Generation Module: It is used to calculate the volume change rate of the core samples after each increase in temperature or pressure respectively, and analyze by combining these volume change rates, and comprehensively generate a volume change evaluation index;

[0151] Second Measurement Module: It is used to measure the mineral composition reaction rate of the core samples under increasing temperature or pressure;

[0152] Reaction Change Evaluation Index Generation Module: It is used to calculate the reaction rate change rate of the mineral composition of the core samples after each increase in temperature or pressure respectively, and analyze by combining these reaction rate change rates, and comprehensively generate a reaction change evaluation index;

[0153] Fine-tuning Module: It is used to combine and analyze the volume change evaluation index and the reaction change evaluation index, and comprehensively generate a fine-tuning strategy for adjusting the 3D model of the ore body research area.

[0154] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the real situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0155] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by the combination of computer software and electronic hardware. Whether these functions are executed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0156] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units. They can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0157] As described above, it is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application.

Claims

1. A three-dimensional modeling method for an ore body, characterized in that The specific steps include: Step S1: Determine the ore body research area and collect geological exploration data of this area. The geological exploration data includes mineral composition, initial volume of the ore body, and geological mapping data. Based on these data, construct a three-dimensional model of the current ore body research area; Step S2: Collect core samples of the ore body in Step S1 and measure the volume change data of the core samples under increasing temperature or pressure; Step S3: Calculate the volume change rate of the core samples in Step S2 after each increase in temperature or pressure respectively, and analyze by combining these volume change rates to comprehensively generate a volume change evaluation index; Step S4: Measure the mineral composition reaction rate of the core samples under increasing temperature or pressure; Step S5: Calculate the reaction rate change rate of the mineral composition of the core samples in Step S4 after each increase in temperature or pressure respectively, and analyze by combining these reaction rate change rates to comprehensively generate a reaction change evaluation index; Step S6: Combine and analyze the volume change evaluation index and the reaction change evaluation index to comprehensively generate a fine-tuning strategy for adjusting the three-dimensional model of the ore body research area.

2. The three-dimensional modeling method of the ore body according to claim 1, characterized in that: Constructing the three-dimensional model of the current ore body research area specifically includes: Determine the boundary of the ore body research area through a geographic information system; After determining the research area, use an X-ray fluorescence spectrometer and an electron probe microanalysis device to analyze the core samples in the research area to obtain mineral composition data; Use a laser rangefinder and a terrestrial laser scanner to measure the initial volume of the ore body; Through geological mapping technology, obtain geological mapping data of the ore body research area. The geological mapping data includes underlying thickness, fault distribution, geological structure, and stratigraphic unit boundaries; Import the mineral composition data, initial volume data, and geological mapping data into three-dimensional modeling software; the mineral composition data includes mineral composition ratio, mineral density, and mineral hardness; Use the interpolation algorithm in the three-dimensional modeling software to construct a three-dimensional model; export the final three-dimensional model as a visualization file format. The three-dimensional model includes model parameters such as grid resolution, number of sampling points, and sampling point spacing.

3. The three-dimensional modeling method of the ore body according to claim 2, characterized in that: Set the number of increases in temperature and pressure to be both n, forming an increasing sequence {1, 2,..., i,..., n}, where i represents the i-th increase; and set the starting values of temperature and pressure to be T0 and P0 respectively; set the increase amplitudes of temperature and pressure each time to be q1 and q2 respectively; Use a three-dimensional scanner to measure the initial volume of the core sample as V0; Based on the pressure value of P0, mark the temperature value increased for the i-th time as T i , and T i = T0 + q1 × i; Denote the volume of the core sample at the temperature value T i as Based on the temperature value of T0, mark the pressure value increased for the i-th time as P i , and P i = P0 + q2 × i; Denote the volume of the core sample under the pressure value P i as 4. The three-dimensional modeling method of an ore body according to claim 3, characterized in that: The construction of the volume change evaluation index specifically includes: Express the volume change rate of the core sample after each increase in temperature or pressure using the following calculation formula: where X ∈ {T, P}; is the volume change rate, and represents the volume change rate of the core sample after the i-th increase in temperature value; represents the volume change rate of the core sample after the i-th increase in pressure value; Divide the increasing sequence {1, 2,..., i,..., n} into the first sequence {1, 2,..., k} and the second sequence {k + 1, k + 2,..., n} in turn; Calculate the average volume change rate of the first sequence: Among them, is the average volume change rate of the first-segment sequence, k is the division point, and this division point is the middle value of the current increasing sequence; Calculate the average volume change rate of the second sequence: Among them, is the average volume change rate of the second segment sequence; Define the volume change evaluation index as I V , and the calculation formula is as follows: Among them, η1 is an adjustment constant term; 0.15 ≤ η1 ≤ 0.68; the set value range of the volume change evaluation index I V is in the range of (0, 1); When I V approaches 0 more and more, it indicates that the volume change rate of the core sample in the first half of the increasing temperature or pressure is lower than that in the second half. When I V approaches 1 more closely, it indicates that the volume change rate of the core sample in the first half of the increasing temperature or pressure is higher than that in the second half.

5. The three-dimensional modeling method of the ore body according to claim 4, characterized in that: Combine and analyze the corresponding reaction rate change rates of temperature and pressure after each increase to comprehensively generate a reaction change evaluation index; specifically including: Measure the mineral composition reaction rate of the core samples under increasing temperature or pressure; The mineral components are classified by category to form a classification sequence {1, 2, …, j, …, m}, where j represents the index of the j-th category of mineral components, and m represents the total number of mineral component categories; After the i-th increase in temperature or pressure, the calculation formula for the average reaction rate of mineral components is expressed as: Among them, C j (T i ) represents the mass fraction of the j-th mineral component in the temperature value T i in the i-th increasing step; C j (P i ) represents the mass fraction of the j-th mineral component in the pressure value P i in the i-th increasing step, R(T i ) is the average reaction rate of the mineral components of the core sample after the i-th temperature increase, and R(P i ) is the average reaction rate of the mineral components of the core sample after the i-th pressure increase; Reaction rate change rate formula: Among them, QV1 i is the reaction rate change rate of the mineral composition of the core sample after the i-th temperature increase; QV2 i is the reaction rate change rate of the mineral composition of the core sample after the i-th pressure increase; Obtain the first segment sequence {1, 2, …, k} and the second segment sequence {k + 1, k + 2, …, n} successively divided from the increasing sequence {1, 2, …, i, …, n}; Calculate the average reaction rate change rate of the first segment: Calculate the average reaction rate change rate of the second segment: where k is the division point, and DV1 and DV2 are the average reaction rate change rates of the first segment and the second segment respectively; Define the reaction change evaluation index as I R , and the calculation formula is as follows; Among them, η2 is an adjustment constant term; 0.01 ≤ η2 ≤ 0.77; it is set that the value range of I R is in (0, 1); I R The closer it is to 0, the smaller the change in the reaction rate represented by the mineral composition in the first half of the increasing temperature or pressure, and the greater the change in the reaction rate in the second half; I R When it approaches 1 more closely, it indicates that the change in the reaction rate represented by the mineral composition is greater in the first half of the increasing temperature or pressure, and the change in the reaction rate is smaller in the second half.

6. The three-dimensional modeling method of the ore body according to claim 5, wherein: Comprehensively generate a fine-tuning strategy for adjusting the three-dimensional model of the ore body research area, specifically including: Calibrate the output value of the fine-tuning strategy as FineTuning, and the calculation formula is as follows: Among them, I V is the volume change evaluation index, and I R is the reaction change evaluation index; The value range of the output value FineTuning of the fine-tuning strategy is (0, 1), and this range is divided into the following intervals; Interval 1 (0, 0.25], indicating that the three-dimensional model of the current ore body research area needs to be adjusted at the first level; The first-level adjustment specifically includes: Re-collect and analyze more than 50% of the mineral component samples, initial ore body volume data, and geological mapping data; Adjust the current values of the mesh resolution, the number of sampling points, and the sampling point spacing in the three-dimensional model respectively; and of; Interval 2 (0.25, 0.5], indicating that the three-dimensional model of the current ore body research area needs to be adjusted at the second level; The second-level adjustment specifically includes: Re-measure and analyze 25% - 50% of the mineral component samples, initial ore body volume data, and geological mapping data; Adjust the current values of the mesh resolution, the number of sampling points, and the sampling point spacing in the three-dimensional model respectively; and ; Interval 3 (0.5, 0.75], indicating that the three-dimensional model of the current ore body research area needs to be adjusted at the third level; The third-level adjustment specifically includes: Re-measure and analyze 10% - 25% of the mineral component samples, initial ore body volume data, and geological mapping data; Adjust the current values of the mesh resolution, the number of sampling points, and the sampling point spacing in the three-dimensional model respectively; and of; Interval 4 (0.75, 1), indicating that the three-dimensional model of the current ore body research area needs to be adjusted at the fourth level; The fourth-level adjustment specifically includes: Re-measure and analyze 0% - 10% of the mineral component samples, initial ore body volume data, and geological mapping data; Adjust the current values of the mesh resolution, the number of sampling points, and the sampling point spacing in the three-dimensional model respectively and respectively.

7. A three-dimensional modeling device for an ore body, characterized in that: The device is used to execute the three-dimensional ore body modeling method described in any one of claims 1 - 6, including: Three-dimensional model construction module: used to determine the ore body research area and collect geological exploration data of this area. The geological exploration data includes mineral components, initial ore body volume, and geological mapping data, and based on these data, construct a three-dimensional model of the current ore body research area; First measurement module: used to collect core samples of the ore body and measure the volume change data of the core samples under the condition of increasing temperature or pressure; Volume change evaluation index generation module: used to calculate the volume change rate of the core samples after each increase in temperature or pressure respectively, and analyze by combining these volume change rates, and comprehensively generate a volume change evaluation index; Second measurement module: used to measure the mineral component reaction rate of the core samples under the condition of increasing temperature or pressure; Reaction change evaluation index generation module: used to calculate the reaction rate change rate of the mineral composition of the core sample after each increase in temperature or pressure respectively, and analyze by combining these reaction rate change rates, and comprehensively generate a reaction change evaluation index; Fine-tuning module: used to combine and analyze the volume change evaluation index and the reaction change evaluation index, and comprehensively generate a fine-tuning strategy for adjusting the three-dimensional model of the ore body research area.

Images