Data extraction method and system based on geological mineral exploration

Abstract

The invention relates to the technical field of geological mineral exploration, and particularly discloses a data extraction method and system based on geological mineral exploration, and the method comprises the steps: determining a plurality of sampling points in a target geological mineral region, collecting ore samples from each sampling point, and collecting the ore samples to obtain each ore sample in the target geological mineral region; the method comprises the following steps: preliminarily crushing and crushing each collected ore sample to achieve a powder state with uniform particle size, and separating different mineral elements in each ore sample by using a separation technology; performing chemical component analysis on each mineral element in the separated ore sample, and determining the content of each mineral element in the ore sample; carrying out toxicity test on mineral elements in the ore sample, and calculating the toxicity parameter content of each mineral element in the ore sample; the mining environment risk assessment is carried out on the target geological mineral product area, and the mining early warning assessment is carried out on the target geological mineral product area, so that the reasonable development and utilization of mineral product resources are ensured, and the environment and human health are guaranteed.

Description

Technical Field

[0001] The 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, the main focus has traditionally been on the availability of ore, that is, the content of valuable elements in the ore, the economic feasibility of mining and processing, and other factors. However, with the increasing awareness of environmental protection and public health, relying solely on these factors to decide whether to mine ores can no longer meet the needs of modern society. More and more evidence shows that if toxic and hazardous substances that may be contained in ores are not taken seriously and controlled, they may have serious impacts on the environment and human health. Therefore, toxicity testing is particularly important 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 atmosphere, and further affect the surrounding ecosystem and human health.

[0004] The lack of ore toxicity testing may also lead to increased occupational health risks for workers in mining areas. Miners are directly exposed to harmful substances in the ore during the mining process, and inhale toxic dust or gas. 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, which are used to solve the above technical problems.

[0006] In order to achieve the above purpose and other purposes, the technical solution adopted by the present invention is as follows: On the one hand, the present invention provides a data extraction method based on geological and mineral exploration, the method comprising the following steps: Step 1: determine multiple sampling points in the target geological and mineral area, collect ore samples from each sampling point, and integrate them to obtain ore samples in the target geological and mineral area; Step 2: Preliminarily crush and pulverize the collected ore samples to achieve a powder state with uniform particle size, and use separation technology to separate different mineral elements in each ore sample; Step 3: Perform 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 perform toxicity test on the mineral elements in the ore sample to calculate the toxicity parameter content of each mineral element in the ore sample; Step 4: Conduct a mining environmental risk assessment on the target geological and mineral areas, and conduct a mining early warning assessment on the target geological and mineral areas.

[0007] Exemplarily, the determination logic of multiple sampling points in the target geological mineral area is specifically 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, usually 1.96, 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, then stop the training.

[0008] Exemplarily, the chemical composition analysis of each mineral element in the separated ore sample is performed, and the specific analysis logic is: 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 .

[0009] Exemplarily, the content of each mineral element in the ore sample is determined by the following specific formula: Content of each mineral element in the ore sample , m is the quantitative value of the ore sample.

[0010] In the above formula, 100 is the milliliter value of the diluted ore sample solution, and 1 / 1000 is for converting the unit of the diluted ore sample solution from milliliter to liter for ease of calculation.

[0011] Exemplarily, the toxicity test of mineral elements in the ore sample is performed, and the specific testing 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.

[0012] For example, the toxicity parameter content of each mineral element in the ore sample is calculated, and 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.

[0013] For example, a mining environmental risk assessment is conducted on the target geological and mineral area. 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.

[0014] For example, a mining early warning assessment is conducted on the target geological and mineral area. 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 early 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 will be issued to the mining area.

[0015] 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, wherein the above modules are connected by wired and / or wireless connection to achieve 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.

[0016] As described above, the data extraction method and system based on geological and mineral exploration provided by the present invention have at least the following beneficial effects: (1) The present invention provides a data extraction method and system based on geological and mineral exploration. By determining multiple sampling points in the target geological and mineral area, and collecting ore samples from each sampling point, the ore samples are aggregated to obtain ore samples in the target geological and mineral area. By determining multiple sampling points in the target area and collecting ore samples, 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 evaluation. (2) The embodiment of the present invention performs preliminary crushing and pulverization of the collected ore samples to achieve a powder state with uniform particle size, and uses separation technology to separate the different mineral elements in each ore sample; this helps to improve the accuracy and efficiency of the analysis. The uniform powder state can ensure the consistency of the sample, thereby reducing the analysis error. The separation technology can extract each mineral element in the mixed sample separately, making the subsequent chemical composition analysis more accurate; (3) The embodiment of the present invention performs 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 performs toxicity test on the mineral elements in the ore sample to calculate the toxicity parameter content of each mineral element in the ore sample; the ore may contain some harmful elements, such as heavy metals, which may have a serious impact on the ecological environment of the mining area and the health of surrounding residents if not evaluated and controlled. Toxicity testing can identify potential harmful elements, ensure the rational development and utilization of mineral resources, and protect the environment and human health. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0018] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention.

[0019] Figure 2 It is a schematic diagram of the structure of each module of the system of the present invention. DETAILED DESCRIPTION

[0020] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0021] Example 1 See also Figure 1 As shown, a data extraction method based on geological and mineral exploration comprises the following steps: Step 1: determine multiple sampling points in the target geological and mineral area, collect ore samples from each sampling point, and integrate them to obtain ore samples in the target geological and mineral area; As a preferred solution, the specific logic for determining multiple sampling points in 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, usually 1.96, 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, then stop the training.

[0022] Assume that in a certain iteration, the initial position of each preliminary sampling point is , by calculating the centroid of the Voronoi cell, the new position of each preliminary sampling point is obtained , 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 distances of all preliminary sampling points satisfy: , then the algorithm is considered to have converged. is the preset threshold.

[0023] It should be added that the ore samples were collected from each sampling point. The specific collection steps are as follows: At each sampling point, ore samples are collected from the ore body using a geological hammer and chisel; for each sampling point, multiple sub-samples are collected and mixed evenly to obtain a comprehensive sample; Each collected sample is numbered, and the sample number, collection location and collection depth of each ore sample are marked on the sampling bag; the collected samples are placed in the sampling bag and sealed to prevent the samples from being contaminated or damaged during transportation; the samples are sent to the laboratory for further processing and analysis, and stored in a dry and cool environment to avoid sample deterioration.

[0024] Step 2: Preliminarily crush and pulverize the collected ore samples to achieve a powder state with uniform particle size, and use separation technology to separate different mineral elements in each ore sample; Step 3: Perform 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 perform toxicity test on the mineral elements in the ore sample to calculate the toxicity parameter content of each mineral element in the ore sample; Toxicity testing is performed before mining to ensure the rational use of mineral resources and environmental protection. Mineral mining is a complex process that involves understanding the physical and chemical properties of ores. Toxicity testing can be used to assess the harmful mineral elements or compounds that may be contained in ores, which may cause harm to human health or the environment during mining and processing. For example, some ores may contain heavy metals or other toxic substances. If toxicity testing is not performed and mining and processing are carried out directly, these harmful substances may be released into the environment, causing pollution to soil, water sources and organisms.

[0025] Toxicity testing can also help determine the best treatment method for ore, improve the recovery rate and purity of ore, and thus improve the economic benefits of the mine. Through scientific toxicity testing, it can provide a scientific basis for the subsequent mineral processing process design, ensure the rational use of mineral resources, and reduce the negative impact on the environment. In summary, toxicity testing is an indispensable step before mineral mining. It helps to evaluate the safety and environmental impact of ore, and ensure the sustainable use of mineral resources and environmental protection.

[0026] As a preferred solution, 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 .

[0027] As a preferred solution, the content of each mineral element in the ore sample is determined by the following specific formula: Content of each mineral element in the ore sample , m is the quantitative value of the ore sample.

[0028] In the above formula, 100 is the milliliter value of the diluted ore sample solution, and 1 / 1000 is for converting the unit of the diluted ore sample solution from milliliter to liter for ease of calculation.

[0029] As a preferred solution, toxicity tests are conducted on mineral elements in ore samples. The specific testing 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.

[0030] It should be added that the specific selection logic for selecting the corresponding biological model for toxicity testing is as follows: Determine the purpose of the test: If the purpose of the test 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 purpose of the test is to evaluate the risks 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.

[0031] It should be added that the calculation process of the survival rate and growth inhibition rate of each concentration of mineral element solution corresponding to each exposure time is as follows: Obtain the initial number of individuals and the number of surviving individuals at each exposure time corresponding to each concentration of mineral element solution, so as to calculate the survival rate at each exposure time corresponding to each concentration of mineral element solution; The average growth of the organisms in the control group and the average growth of the mineral element solutions of each concentration corresponding to each exposure time were obtained, and the average growth of the organisms in the control group was subtracted from the average growth of the organisms in the control group to obtain the difference result. The difference result was used as the numerator of the fraction, and the average growth of the organisms in the control group was used as the denominator of the fraction. The growth inhibition rate of the mineral element solutions of each concentration corresponding to each exposure time was calculated.

[0032] As a preferred solution, the toxicity parameter content of each mineral element in the ore sample is calculated. 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.

[0033] Step 4: Conduct a mining environmental risk assessment on the target geological and mineral areas, and conduct a mining early warning assessment on the target geological and mineral areas.

[0034] As a preferred option, a mining environmental risk assessment is conducted 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.

[0035] As a preferred option, a mining early warning assessment is conducted 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 early 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 will be issued to the mining area.

[0036] The severity of the first-level mining warning is greater than that of the second-level mining warning.

[0037] Example 2 See also Figure 2 As shown, a data extraction system based on geological and mineral exploration includes 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.

[0038] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0039] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0040] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0041] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in 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 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 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, then stop the training.

3. 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 .

4. A data extraction method based on geological and mineral exploration according to claim 3, 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.

5. 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.

6. A data extraction method based on geological and mineral exploration according to claim 5, 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.

7. 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.

8. 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 early 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 will be issued to the mining area.

9. 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 8, 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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