A data extraction method and system based on geological and mineral exploration

Abstract

The present invention relates to the technical field of geological and mineral exploration, and specifically discloses a data extraction method and system based on geological and mineral exploration. By determining multiple sampling points within the target geological and mineral area, collecting ore samples from each sampling point, and integrating them to obtain each ore sample within the target geological and mineral area; preliminarily crushing and pulverizing each collected ore sample to reach a powder state with uniform particle size, and using separation technology to separate different mineral elements in each ore sample; analyzing the chemical components of each mineral element in the separated ore sample to determine the content of each mineral element in the ore sample; and conducting toxicity tests on the mineral elements in the ore sample to calculate the content of toxicity parameters of each mineral element in the ore sample; conducting an assessment of the mining environment risk for the target geological and mineral area, and conducting a mining early warning assessment for the target geological and mineral area to ensure the rational development and utilization of mineral resources, while protecting the environment and human health.

Description

Technical Field

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

[0002] In the process of mineral resource development, traditionally, the main focus has been on the availability of ores, such as the content of valuable elements in ores, the economic feasibility of mining and processing, and other factors. However, with the continuous improvement of environmental protection and public health awareness, simply relying on these factors to decide whether to carry out ore mining can no longer meet the needs of modern society. More and more evidence shows that if the toxic and harmful substances that may be contained in ores are not taken seriously and controlled, they may cause serious impacts on the environment and human health. Therefore, it is particularly important to conduct toxicity tests in ore mining decisions.

[0003] Ores may contain some toxic and harmful elements or compounds, such as arsenic, mercury, lead, cadmium, etc. If these toxic substances are released into the environment during mining and processing, they may pollute the soil, water sources and the atmosphere, and thus affect the surrounding ecosystem and human health.

[0004] The lack of ore toxicity tests may also lead to an increased occupational health risk for miners in the mining area. Miners will directly contact the harmful substances in the ores during the mining process, inhale toxic dust or gases, and long-term exposure may cause serious health problems such as respiratory diseases. Summary of the Invention

[0005] In view of the above problems existing in the prior art, the present invention provides a data extraction method and system based on geological and mineral exploration to solve the above technical problems.

[0006] To achieve the above and other purposes, the technical solutions adopted by the present invention are as follows:

[0007] On the one hand, the present invention provides a data extraction method based on geological and mineral exploration, and the method includes the following steps:

[0008] Step 1: Determine a plurality of sampling points within the target geological and mineral area, collect ore samples from each sampling point, and integrate them to obtain each ore sample within the target geological and mineral area;

[0009] Step 2: Conduct preliminary crushing and pulverization on each collected ore sample to reach a powder state with uniform particle size, and use separation technology to separate different mineral elements in each ore sample;

[0010] Step 3: Conduct chemical composition analysis on each mineral element in the separated ore sample to determine the content of each mineral element in the ore sample, and conduct toxicity tests on the mineral elements in the ore sample to calculate the toxicity parameter content of each mineral element in the ore sample;

[0011] Step 4: Conduct mining environment risk assessment on the target geological and mineral area, and conduct mining early warning assessment on the target geological and mineral area.

[0012] Exemplarily, the determination logic for determining multiple sampling points in the target geological and mineral area is specifically as follows:

[0013] Obtain the area MJ of the target geological and mineral area, and then obtain the preliminary layout sampling interval of the sampling grid in the target geological and mineral area , exp is the critical value of the set standard normal distribution, usually taken as 1.96, C1 is the set standard deviation value of the geological variable, and C2 is the set allowable error value, represents the ceiling symbol;

[0014] Based on the preliminary layout sampling interval, construct the sampling grid of the target geological and mineral area, obtain the number of sampling sub-area grids and the center points of each sampling sub-area grid from it, and use the center points of each sampling sub-area grid as each preliminary sampling point;

[0015] Use the Voronoi diagram generation algorithm to generate the Voronoi diagram of each preliminary sampling point, determine the influence area of each preliminary sampling point, record it as each Voronoi unit, and calculate the centroid of each Voronoi unit;

[0016] Move each preliminary sampling point to the centroid position of its corresponding Voronoi unit to obtain the new position of each preliminary sampling point;

[0017] Check the change distance between the new position of each preliminary sampling point and the initial position of each preliminary sampling point. If the change distance of all preliminary sampling points is less than the preset threshold, then use the new position of each preliminary sampling point as the position of each sampling point; otherwise, continue to iteratively train the Voronoi diagram generation algorithm until the change distance of all preliminary sampling points is less than the preset threshold and convergence is reached to stop training.

[0018] Exemplarily, the specific analysis logic for conducting chemical composition analysis on each mineral element in the separated ore sample is as follows:

[0019] Obtain the names of each mineral element in the ore sample;

[0020] Take a quantitative ore sample, add an appropriate amount of acid, heat and dissolve it, and dilute the dissolved ore sample solution to 100 milliliters;

[0021] Standard solutions of each mineral element name in ore samples with known concentrations are used respectively, and then the standard curve equations of each mineral element name in the ore sample solution are established, which are denoted as , where is the known concentration of the standard solution of the c-th mineral element name in the ore sample, c is the number of each mineral element, is the response signal of the standard solution of the c-th mineral element name in the ore sample, are respectively the set calculation constants;

[0022] Simultaneously measure the response signals of each mineral element name in the ore sample solution ;

[0023] From this, the concentrations of each mineral element in the ore sample are calculated .

[0024] Exemplarily, to determine the content of each mineral element in the ore sample, the specific determination formula is as follows:

[0025] The content of each mineral element in the ore sample , where m is the quantitative value of the ore sample.

[0026] In the above formula, 100 is the milliliter value of the diluted ore sample solution, and one-thousandth is to convert the unit of the diluted ore sample solution from milliliter to liter for easy calculation.

[0027] Exemplarily, to conduct toxicity tests on the mineral elements in the ore sample, the specific test process includes:

[0028] Use strong acid to dissolve the mineral elements in the ore sample, filter the dissolved ore sample to remove solid impurities, and dilute the ore sample;

[0029] Select the corresponding biological model for toxicity testing, expose the test organisms to mineral element solutions with different concentrations, and simultaneously set up a control group; set different exposure durations, observe and record the biological response data of the corresponding biological model, where the biological response data includes the survival rate and growth inhibition rate of each mineral element corresponding to each concentration of the mineral element solution within each exposure duration.

[0030] Exemplarily, to calculate the content of toxicity parameters of each mineral element in the ore sample, the specific calculation logic is:

[0031] The content of toxicity parameters of each mineral element in the ore sample is specifically divided into the median lethal concentration and the median effective concentration;

[0032] Obtain the survival rates of each mineral element in the corresponding biological model for each concentration of mineral element solution at each exposure duration, convert them to the mortality rates of each mineral element in the corresponding biological model for each concentration of mineral element solution at each exposure duration, and convert the mortality rates of each mineral element in the corresponding biological model for each concentration of mineral element solution at each exposure duration through the standard normal distribution table to obtain the Probit values of the mortality rates of each mineral element in the corresponding biological model for each concentration of mineral element solution at each exposure duration;

[0033] Use the Probit model , where p is the mortality rate, A and B are regression coefficients, C is the concentration, and substitute the Probit values of the mortality rates of each mineral element in the corresponding biological model for each concentration of mineral element solution at each exposure duration and the respective concentrations of the mineral element solutions into the Probit model to solve for the values of the regression coefficients A and B;

[0034] Let A = A1 and B = B1, and thus obtain the Probit model , substitute the Probit values of the mortality rates of each mineral element in the corresponding biological model for each concentration of mineral element solution at each exposure duration into the Probit model to obtain the median lethal concentration of each mineral element in the ore sample , h is the number of each exposure duration, h = 1, 2,... n, g is the number of each concentration of mineral element solution, g = 1, 2,... m, n is the total number of exposure durations, and m is the total number of corresponding concentrations of the mineral element solution, is the Probit value of the mortality rate of the g-th concentration of mineral element solution for the c-th mineral element in the corresponding biological model at the h-th exposure duration;

[0035] Obtain the growth inhibition rates of each mineral element in the corresponding biological model for each concentration of mineral element solution at each exposure duration, and use the Probit model , and then similarly calculate the median effective concentration of each mineral element in the ore sample.

[0036] Exemplarily, conduct a mining environmental risk assessment for the target geological and mineral area. The specific assessment process is as follows:

[0037] Obtain the contents of each mineral element in the ore sample , perform standardization processing on them to obtain the standardized contents of each mineral element in the ore sample ;

[0038] Calculate the toxicity factors of each mineral element in the ore sample , is the median effective concentration of the c-th mineral element corresponding to the ore sample;

[0039] Calculate the risk factors of each mineral element in the ore sample ;

[0040] Finally, the risk factors of all mineral elements in the final comprehensive ore sample are combined to obtain the mining environment risk assessment coefficient of the target geological and mineral area. , where c is the number of each mineral element, and c takes values from 1 to f.

[0041] Exemplarily, for the mining early warning assessment of the target geological and mineral area, the specific assessment process is as follows:

[0042] Using satellite images, analyze the spectral characteristics of the target geological and mineral area, identify the mineral distribution in the target geological and mineral area, thereby construct a three-dimensional model diagram of the mineral distribution in the target geological and mineral area, and divide the target geological and mineral area into each mining area according to it;

[0043] Obtain the total number of mineral elements and the content of each mineral element in each mining area , where r is the number of the mining area, and y is the number of each mineral element in the mining area, y = 1, 2,... u;

[0044] Conduct a comprehensive toxicity assessment on each mining area to obtain the comprehensive toxicity assessment coefficient of each mining area , are the concentration and risk factor of the y-th mineral element in the r-th mining area respectively; are the area and depth of the r-th mining area respectively;

[0045] The comprehensive toxicity assessment coefficient of each mining area is compared with the preset toxicity assessment threshold range ;

[0046] If the comprehensive toxicity assessment coefficient of a certain mining area is less than S1, then mark this mining area as a safe area and do not give an early warning prompt for this mining area;

[0047] If the comprehensive toxicity assessment coefficient of a certain mining area is greater than S2, then mark this mining area as a dangerous area and give a first-level mining early warning reminder for this mining area;

[0048] If the comprehensive toxicity assessment coefficient of a certain mining area is within the toxicity assessment threshold range, then mark this mining area as a sub-dangerous area and give a second-level mining early warning reminder for this mining area.

[0049] On the other hand, the present invention provides a data extraction system based on geological and mineral exploration, including an ore sample collection module, an ore sample preparation module, an ore toxicity test module, and a mineral risk assessment module. The above-mentioned each module is connected by wired and / or wireless connection methods to realize data transmission between each module;

[0050] Ore sample collection module: Determine multiple sampling points within the target geological and mineral area, collect ore samples from each sampling point, and consolidate them to obtain each ore sample within the target geological and mineral area;

[0051] Ore sample preparation module: Conduct preliminary crushing and pulverization on each collected ore sample to reach a powder state with uniform particle size, and use separation technology to separate different mineral elements in each ore sample;

[0052] Ore toxicity testing module: Conduct chemical composition analysis on each mineral element in the separated ore samples, determine the content of each mineral element in the ore samples, and conduct toxicity testing on the mineral elements in the ore samples to calculate the toxicity parameter content of each mineral element in the ore samples;

[0053] Mineral risk assessment module: Conduct mining environment risk assessment on the target geological and mineral area, and conduct mining warning assessment on the target geological and mineral area.

[0054] As described above, a data extraction method and system based on geological and mineral exploration provided by the present invention has at least the following beneficial effects:

[0055] (1) A data extraction method and system based on geological and mineral exploration provided by the present invention determine multiple sampling points within the target geological and mineral area, collect ore samples from each sampling point, and consolidate them to obtain each ore sample within the target geological and mineral area; By determining multiple sampling points and collecting ore samples within the target area, the representativeness and accuracy of the data can be ensured. After the ore samples from different sampling points are aggregated, the mineral distribution of the entire area can be reflected, providing reliable basic data for subsequent resource assessment;

[0056] (2) In the embodiment of the present invention, each collected ore sample is subjected to preliminary crushing and pulverization to reach a powder state with uniform particle size, and separation technology is used to separate different mineral elements in each ore sample; This helps to improve the accuracy and efficiency of analysis. The uniform powder state can ensure the consistency of the sample, thereby reducing analysis errors. The separation technology can extract each mineral element in the mixed sample separately, making the subsequent chemical composition analysis more accurate;

[0057] (3) In the embodiment of the present invention, chemical composition analysis is conducted on each mineral element in the separated ore samples to determine the content of each mineral element in the ore samples; and toxicity testing is conducted on the mineral elements in the ore samples to calculate the toxicity parameter content of each mineral element in the ore samples; There may be some harmful elements in the ore, such as heavy metals. If not evaluated and controlled, it may cause serious impacts on the ecological environment of the mining area and the health of surrounding residents. Toxicity testing can identify potential harmful elements, ensure the rational development and utilization of mineral resources, and at the same time protect the environment and human health. Brief Description of the Drawings

[0058] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0059] Figure 1 Schematic diagram of the connection of each step of the method of the present invention.

[0060] Figure 2 Schematic diagram of the structure of each module of the system of the present invention. Detailed Embodiments

[0061] The following will combine the above content of the embodiments of the present invention. The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the claims of the present invention, they should all fall within the protection scope of the present invention.

[0062] Embodiment 1

[0063] Please refer to Figure 1 As shown, a data extraction method based on geological and mineral exploration, the method includes the following steps:

[0064] Step 1: Determine a plurality of sampling points within the target geological and mineral area, collect ore samples from each sampling point, and integrate them to obtain each ore sample within the target geological and mineral area;

[0065] As a preferred solution, the determination logic for determining a plurality of sampling points within the target geological and mineral area is specifically:

[0066] Obtain the area MJ of the target geological and mineral area, and then obtain the preliminary layout sampling interval of the sampling grid in the target geological and mineral area , exp is the critical value of the set standard normal distribution, usually taking 1.96, C1 is the set standard deviation value of the geological variable, C2 is the set allowable error value, represents the ceiling symbol;

[0067] Based on the preliminary layout sampling interval, construct the sampling grid of the target geological and mineral area, obtain the number of sampling sub-area grids and the center points of each sampling sub-area grid from it, and use the center points of each sampling sub-area grid as each preliminary sampling point;

[0068] Generate the Voronoi diagram of each preliminary sampling point using the Voronoi diagram generation algorithm, determine the influence area of each preliminary sampling point, denote it as each Voronoi cell, and calculate the centroid of each Voronoi cell;

[0069] Move each preliminary sampling point to the centroid position of its corresponding Voronoi cell to obtain the new position of each preliminary sampling point;

[0070] Check the change distance between the new position of each preliminary sampling point and the initial position of each preliminary sampling point. If the change distance of all preliminary sampling points is less than the preset threshold, then take the new position of each preliminary sampling point as the position of each sampling point; otherwise, continue to iteratively train the Voronoi diagram generation algorithm until the change distance of all preliminary sampling points is less than the preset threshold and convergence is achieved to stop training.

[0071] Suppose that in a certain iteration, the initial positions of each preliminary sampling point are , by calculating the centroid of the Voronoi cell, obtain the new position of each preliminary sampling point , where i is the number of each preliminary sampling point; the change distance between the new position of each preliminary sampling point and the initial position of each preliminary sampling point can be calculated as: , if the change distance of all preliminary sampling points satisfies: , then it is considered that the algorithm converges, is the preset threshold.

[0072] It should be added that ore samples are collected from each sampling point, and the specific collection steps are as follows:

[0073] At each sampling point, use a geological hammer and chisel to collect ore samples from the ore body; for each sampling point, collect multiple sub-samples and mix them evenly to obtain a composite sample;

[0074] Number each collected sample, and mark the sample number, the collection location and collection depth of each ore sample on the sampling bag; put the collected samples into the sampling bag and seal it well to prevent the samples from being contaminated or damaged during transportation; send the samples to the laboratory for further processing and analysis, and store them in a dry and cool environment to avoid sample deterioration.

[0075] Step 2: Conduct preliminary crushing and pulverization on each collected ore sample to reach a powder state with uniform particle size, and use separation technology to separate different mineral elements in each ore sample;

[0076] Step 3: Conduct chemical composition analysis on each mineral element in the separated ore sample to determine the content of each mineral element in the ore sample, and conduct toxicity tests on the mineral elements in the ore sample to calculate the toxicity parameter content of each mineral element in the ore sample;

[0077] Performing toxicity tests before mineral extraction is to ensure the rational utilization of mineral resources and environmental protection. Mineral extraction is a complex process that involves understanding the physical and chemical properties of ores. By conducting toxicity tests, it is possible to evaluate the harmful mineral elements or compounds that may be contained in the ore, and these mineral elements or compounds may pose hazards to human health or the environment during the extraction and processing processes. For example, certain ores may contain heavy metals or other toxic substances. If toxicity tests are not conducted and direct extraction and processing are carried out, these harmful substances may be released into the environment, polluting the soil, water sources, and organisms.

[0078] Toxicity tests can also help determine the optimal treatment methods for ores, improve the recovery rate and purity of ores, and thus enhance the economic benefits of mines. Through scientific toxicity tests, it is possible to provide a scientific basis for the subsequent design of ore dressing processes, ensure the rational utilization of mineral resources, and at the same time reduce the negative impact on the environment. In summary, conducting toxicity tests is an essential step before mineral extraction, which helps evaluate the safety and environmental impact of ores and ensures the sustainable utilization of mineral resources and environmental protection.

[0079] As an optimal solution, the chemical composition analysis of each mineral element in the separated ore sample is carried out, and the specific analysis logic is as follows:

[0080] Obtain the names of each mineral element in the ore sample;

[0081] Take a quantitative ore sample, add an appropriate amount of acid, heat and dissolve it, and dilute the dissolved ore sample solution to 100 milliliters;

[0082] Respectively use standard solutions of the names of each mineral element in the ore sample with known concentrations, and then establish the standard curve equation of the names of each mineral element in the ore sample solution, which is denoted as , where is the known concentration of the standard solution of the c-th mineral element name in the ore sample, c is the number of each mineral element, is the response signal of the standard solution of the c-th mineral element name in the ore sample, are respectively set calculation constants;

[0083] Simultaneously measure the response signals of the names of each mineral element in the ore sample solution;

[0084] From this, the concentration of each mineral element in the ore sample is calculated 。

[0085] As a preferred solution, determine the content of each mineral element in the ore sample. The specific determination formula is as follows:

[0086] The content of each mineral element in the ore sample , where m is the quantitative value of the ore sample.

[0087] In the above formula, 100 is the milliliter value of the diluted ore sample solution, and one-thousandth is to convert the unit of the diluted ore sample solution from milliliter to liter for easy calculation.

[0088] As a preferred solution, conduct a toxicity test on the mineral elements in the ore sample. The specific test process includes:

[0089] Dissolve the mineral elements in the ore sample with strong acid, filter the dissolved ore sample to remove solid impurities, and dilute the ore sample;

[0090] Select the corresponding biological model for toxicity testing, expose the test organisms to mineral element solutions of different concentrations, and synchronously set up a control group; set different exposure durations, observe and record the biological response data of the corresponding biological model, where the biological response data includes the survival rate and growth inhibition rate of each mineral element corresponding to each concentration of the mineral element solution at each exposure duration.

[0091] It should be added that when selecting the corresponding biological model for toxicity testing, the specific selection logic is as follows:

[0092] Determine the test purpose: If the test purpose is to evaluate the impact of mineral elements on the ecosystem, select common biological models in the ecosystem, including but not limited to fish, crustaceans, algae, earthworms, or plants, etc. If the test purpose is to evaluate the risk of mineral elements to human health, biological models similar to human physiology and metabolism should be selected, including but not limited to bacteria, yeast, mammalian cell lines, etc.

[0093] It should be added that the calculation process of the survival rate and growth inhibition rate of each concentration of the mineral element solution corresponding to each exposure duration is as follows:

[0094] Obtain the initial number of individuals and the number of surviving individuals of each concentration of the mineral element solution corresponding to each exposure duration, so as to calculate the survival rate of each concentration of the mineral element solution corresponding to each exposure duration;

[0095] Obtain the average growth of the control group organisms and the average growth of each concentration of mineral element solution corresponding to each exposure duration. Subtract the average growth of each concentration of mineral element solution corresponding to each exposure duration from the average growth of the control group organisms to obtain the difference result, and use the difference result as the numerator of the fraction and the average growth of the control group organisms as the denominator of the fraction, thereby calculating the growth inhibition rate of each concentration of mineral element solution corresponding to each exposure duration.

[0096] As a preferred solution, calculate the toxicity parameter content of each mineral element in the ore sample. The specific calculation logic is as follows:

[0097] The toxicity parameter content of each mineral element in the ore sample is specifically divided into the median lethal concentration and the median effect concentration;

[0098] Obtain the survival rate of each concentration of mineral element solution corresponding to each exposure duration of each mineral element of the corresponding biological model, convert it to the mortality rate of each concentration of mineral element solution corresponding to each exposure duration of each mineral element of the corresponding biological model, and convert the mortality rate of each concentration of mineral element solution corresponding to each exposure duration of each mineral element of the corresponding biological model through the standard normal distribution table to obtain the mortality Probit value of each concentration of mineral element solution corresponding to each exposure duration of each mineral element of the corresponding biological model;

[0099] Use the Probit model , where p is the mortality rate, A and B are regression coefficients, and C is the concentration. Substitute the mortality Probit value of each concentration of mineral element solution corresponding to each exposure duration of each mineral element of the corresponding biological model and the concentrations of the mineral element solutions into the Probit model to solve for the values of the regression coefficients A and B;

[0100] Let A = A1 and B = B1, thereby obtaining the Probit model , substitute the mortality Probit value of each concentration of mineral element solution corresponding to each exposure duration of each mineral element of the corresponding biological model into the Probit model to obtain the median lethal concentration of each mineral element corresponding to the ore sample , h is the number of each exposure duration, h = 1, 2,... n, g is the number of each concentration of mineral element solution, g = 1, 2,... m, n is the total number of exposure durations, and m is the total number of corresponding concentrations of mineral element solutions, is the mortality Probit value of the g-th concentration of mineral element solution corresponding to the h-th exposure duration of the c-th mineral element of the corresponding biological model;

[0101] Obtain the growth inhibition rate of each concentration of mineral element solution corresponding to each exposure duration of each mineral element of the corresponding biological model, use the Probit model , and then similarly calculate the median effect concentration of each mineral element corresponding to the ore sample.

[0102] Step 4: Conduct a mining environmental risk assessment on the target geological and mineral area and conduct a mining warning assessment on the target geological and mineral area.

[0103] As an optimal solution, the mining environmental risk assessment of the target geological and mineral area is carried out, and the specific assessment process is as follows:

[0104] Obtain the content of each mineral element in the ore sample , and perform standardization processing on it to obtain the standardized content of each mineral element in the ore sample ;

[0105] Calculate the toxicity factor of each mineral element in the ore sample , is the half-effect concentration of the c-th mineral element corresponding to the ore sample;

[0106] Calculate the risk factor of each mineral element in the ore sample ;

[0107] Finally, comprehensively consider the risk factors of all mineral elements in the ore sample to obtain the mining environmental risk assessment coefficient of the target geological and mineral area , where c is the number of each mineral element, and c takes values from 1 to f.

[0108] As an optimal solution, the mining warning assessment of the target geological and mineral area is carried out, and the specific assessment process is as follows:

[0109] Use satellite images to analyze the spectral characteristics of the target geological and mineral area, identify the mineral distribution in the target geological and mineral area, thereby constructing a three-dimensional model diagram of the mineral distribution in the target geological and mineral area, and dividing the target geological and mineral area into each mining area according to it;

[0110] Obtain the total number of mineral elements and the content of each mineral element in each mining area , where r is the number of the mining area, and y is the number of each mineral element in the mining area, y = 1, 2,... u;

[0111] Conduct a comprehensive toxicity assessment on each mining area to obtain the comprehensive toxicity assessment coefficient of each mining area , are the concentration and risk factor of the y-th mineral element in the r-th mining area respectively; are the area and depth of the r-th mining area respectively;

[0112] Compare the comprehensive toxicity assessment coefficient of each mining area with the preset toxicity assessment threshold interval ;

[0113] If the comprehensive toxicity assessment coefficient of a mining area is less than S1, the mining area is recorded as a safe area, and no early warning prompt is given for the mining area;

[0114] If the comprehensive toxicity assessment coefficient of a mining area is greater than S2, the mining area is recorded as a dangerous area, and a first-level mining early warning reminder is given for the mining area;

[0115] If the comprehensive toxicity assessment coefficient of a mining area is within the toxicity assessment threshold range, the mining area is recorded as a sub-dangerous area, and a second-level mining early warning reminder is given for the mining area.

[0116] Among them, the severity of the first-level mining early warning is greater than that of the second-level mining early warning.

[0117] Embodiment 2

[0118] Please refer to Figure 2 As shown, a data extraction system based on geological and mineral exploration, the system includes an ore sample collection module, an ore sample preparation module, an ore toxicity test module, and a mineral risk assessment module. The above-mentioned modules are connected by wired and / or wireless connection methods to realize data transmission between the modules;

[0119] Ore sample collection module: Determine multiple sampling points in the target geological and mineral area, collect ore samples from each sampling point, and integrate them to obtain each ore sample in the target geological and mineral area;

[0120] Ore sample preparation module: Conduct preliminary crushing and pulverization on the collected ore samples to reach a powder state with uniform particle size, and use separation technology to separate different mineral elements in each ore sample;

[0121] Ore toxicity test module: Conduct chemical composition analysis on each mineral element in the separated ore samples, determine the content of each mineral element in the ore samples, and conduct toxicity tests on the mineral elements in the ore samples to calculate the toxicity parameter content of each mineral element in the ore samples;

[0122] Mineral risk assessment module: Conduct mining environment risk assessment on the target geological and mineral area, and conduct mining early warning assessment on the target geological and mineral area.

[0123] It should be understood that in various embodiments of the present application, the size of the serial numbers of the above processes does not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0124] It should be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0125] 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. Therefore, the protection scope of the present application shall be subject to the protection scope of the claimed rights.

[0126] Finally: The above description is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A data extraction method based on geological and mineral exploration, characterized in that: The following steps are involved: Determine multiple sampling points in the target geological and mineral area, collect ore samples from each sampling point, and aggregate them to obtain ore samples in the target geological and mineral area; The specific logic for determining multiple sampling points within the target geological and mineral area is as follows: Obtain the area MJ of the target geological and mineral area, and then obtain the preliminary layout sampling spacing of the sampling grid in the target geological and mineral area , exp is the critical value of the standard normal distribution, C1 is the set standard deviation of the geological variable, C2 is the set allowable error value, Indicates the rounding up symbol; According to the preliminary sampling spacing, a sampling grid of the target geological mineral area is constructed, from which the number of sampling sub-area grids and the center point of each sampling sub-area grid are obtained, and the center point of each sampling sub-area grid is used as each preliminary sampling point; The Voronoi diagram generation algorithm is used to generate the Voronoi diagram of each preliminary sampling point, the influence area of ​​each preliminary sampling point is determined, recorded as each Voronoi unit, and the centroid of each Voronoi unit is calculated; Move each preliminary sampling point to the centroid position of its corresponding Voronoi unit to obtain the new position of each preliminary sampling point; Check the change distance between the new position of each preliminary sampling point and the initial position of each preliminary sampling point. If the change distance of all preliminary sampling points is less than the preset threshold, the new position of each preliminary sampling point is used as the position of each sampling point. Otherwise, the Voronoi diagram generation algorithm continues to be iteratively trained until the change distance of all preliminary sampling points is less than the preset threshold and convergence is reached, and then stop training. The collected ore samples are preliminarily crushed and pulverized to achieve a powder state with uniform particle size, and the different mineral elements in each ore sample are separated using separation technology; Conduct chemical composition analysis on each mineral element in the separated ore sample to determine the content of each mineral element in the ore sample; and conduct toxicity test on the mineral elements in the ore sample to calculate the toxicity parameter content of each mineral element in the ore sample; Conduct mining environmental risk assessments on target geological and mineral areas, and conduct mining early warning assessments on target geological and mineral areas.

2. The data extraction method based on geological and mineral exploration according to claim 1 is characterized in that: The chemical composition of each mineral element in the separated ore sample is analyzed. The specific analysis logic is as follows: Get the names of each mineral element in the ore sample; Take a quantitative ore sample, add an appropriate amount of acid, heat and dissolve, and dilute the dissolved ore sample solution to 100 ml; Use the standard solutions of the mineral elements in the ore samples with known concentrations to establish the standard curve equations of the mineral elements in the ore sample solutions, which are recorded as ,in is the known concentration of the standard solution of the cth mineral element name in the ore sample, c is the number of each mineral element, is the response signal of the standard solution of the cth mineral element name in the ore sample, are the calculation constants set respectively; Synchronous determination of the response signals of the names of various mineral elements in ore sample solutions ; The concentration of each mineral element in the ore sample is calculated .

3. A data extraction method based on geological and mineral exploration according to claim 2, characterized in that: Determine the content of each mineral element in the ore sample. The specific determination formula is as follows: Content of each mineral element in the ore sample , m is the quantitative value of the ore sample.

4. The data extraction method based on geological and mineral exploration according to claim 1 is characterized in that: Toxicity test of mineral elements in ore samples. The specific test process includes: Use strong acid to dissolve mineral elements in the ore sample, filter the dissolved ore sample to remove solid impurities, and dilute the ore sample; Select the corresponding biological model for toxicity testing, expose the test organisms to mineral element solutions of different concentrations, and set up a control group simultaneously; set different exposure time, observe and record the biological response data of the corresponding biological model, where the biological response data include the survival rate and growth inhibition rate of each mineral element in each concentration of mineral element solution within each exposure time.

5. The data extraction method based on geological and mineral exploration according to claim 4 is characterized in that: Calculate the toxicity parameter content of each mineral element in the ore sample. The specific calculation logic is: The toxicity parameter content of each mineral element in the ore sample is specifically divided into median lethal concentration and median effect concentration; Obtain the survival rate of each concentration of mineral element solution for each mineral element in the corresponding biological model for each exposure duration, convert it into the mortality rate of each concentration of mineral element solution for each mineral element in the corresponding biological model for each exposure duration, convert the mortality rate of each concentration of mineral element solution for each mineral element in the corresponding biological model for each exposure duration through the standard normal distribution table, and obtain the mortality rate Probit value of each concentration of mineral element solution for each mineral element in the corresponding biological model for each exposure duration; Using the Probit model , where p is the mortality rate, A and B are regression coefficients, C is the concentration, and the mortality Probit values ​​of mineral element solutions of each concentration in each exposure time of each mineral element in the corresponding biological model and the concentrations of the mineral element solutions are substituted into the Probit model to solve for the values ​​of the regression coefficients A and B; Let A=A1, B=B1, and we get the Probit model The mortality Probit values ​​of each concentration of mineral element solutions corresponding to each mineral element in the corresponding biological model and each exposure time are imported into the Probit model to obtain the median lethal concentration of each mineral element in the ore sample. , h is the number of each exposure time, h=1,2,...n, g is the number of each concentration of mineral element solution, g=1,2,...m, n is the total number of exposure time, m is the total number of corresponding concentrations of mineral element solutions, is the mortality Probit value of the mineral element solution with the gth concentration in the hth exposure time corresponding to the cth mineral element in the biological model; Obtain the growth inhibition rate of each concentration of mineral element solution for each mineral element in the corresponding biological model at each exposure time, and use the Probit model , and then the half-effective concentration of each mineral element in the ore sample can be calculated by the same method.

6. The data extraction method based on geological and mineral exploration according to claim 1 is characterized in that: Conduct mining environmental risk assessment on the target geological and mineral areas. The specific assessment process is as follows: Obtain the content of each mineral element in the ore sample , and standardize it to obtain the standardized content of each mineral element in the ore sample ; Calculate the toxicity factor of each mineral element in the ore sample , is the half-maximum effect concentration of the cth mineral element in the ore sample; Calculate the risk factor of each mineral element in the ore sample ; Finally, the risk factors of all mineral elements in the ore sample are integrated to obtain the mining environment risk assessment coefficient of the target geological mineral area. , c is the number of each mineral element, and the value of c ranges from 1 to f.

7. The data extraction method based on geological and mineral exploration according to claim 1 is characterized in that: Conduct mining early warning assessment on the target geological and mineral areas. The specific assessment process is as follows: Using satellite images, analyze the spectral characteristics of the target geological and mineral areas, identify the mineral distribution of the target geological and mineral areas, and construct a three-dimensional model of the mineral distribution of the target geological and mineral areas, and divide the target geological and mineral areas into various mining areas based on it; Obtain the total number of mineral elements and the content of each mineral element in each mining area , r is the number of the mining area, y is the number of each mineral element in the mining area, y=1,2,...u; Conduct a comprehensive toxicity assessment on each mining area and obtain the comprehensive toxicity assessment coefficient of each mining area , are the concentration and risk factor of the yth mineral element in the rth mining area; are the area and depth of the rth mining area respectively; The comprehensive toxicity assessment coefficient of each mining area Compared with the preset toxicity assessment threshold range Make a comparison; If the comprehensive toxicity assessment coefficient of a mining area is less than S1, the mining area will be recorded as a safe area and no warning will be issued for the mining area; If the comprehensive toxicity assessment coefficient of a mining area is greater than S2, the mining area will be recorded as a dangerous area and a first-level mining warning will be issued to the mining area; If the comprehensive toxicity assessment coefficient of a mining area is within the toxicity assessment threshold range, the mining area will be recorded as a secondary hazardous area and a secondary mining warning reminder will be issued for the mining area.

8. A data extraction system based on geological and mineral exploration, characterized in that: It is implemented based on a data extraction method based on geological and mineral exploration as described in any one of claims 1 to 7, including an ore sample collection module, an ore sample preparation module, an ore toxicity test module and a mineral risk assessment module, wherein the above modules are connected by wired and / or wireless connection to realize data transmission between the modules; Ore sample collection module: determine multiple sampling points in the target geological and mineral area, collect ore samples from each sampling point, and aggregate them to obtain ore samples in the target geological and mineral area; Ore sample preparation module: the collected ore samples are preliminarily crushed and pulverized to achieve a powder state with uniform particle size, and the different mineral elements in each ore sample are separated by separation technology; Ore toxicity test module: perform chemical composition analysis on each mineral element in the separated ore sample, determine the content of each mineral element in the ore sample, perform toxicity test on the mineral elements in the ore sample, and calculate the toxicity parameter content of each mineral element in the ore sample; Mineral risk assessment module: Conduct mining environmental risk assessment on the target geological and mineral areas, and conduct mining early warning assessment on the target geological and mineral areas.

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