Method for extracting data in geological mineral exploration

Abstract

The invention discloses a geological mineral exploration data extraction method, and relates to the technical field of geological exploration, three groups of algorithm units are matched with one another to form a core architecture of the geological mineral exploration data extraction method, and the geological mineral exploration data extraction method can be used for calculating and analyzing the geological mineral exploration data. Key factors such as the content of key elements in ores in different area modules in the total exploration area, the density of the ores, the fault density and the thickness of an ore body are comprehensively considered, and distribution of exploration resources and mining resources is optimized; according to the method, the exploration area with high mineral richness and low exploration and mining difficulty is preferentially exploited and developed, the exploration efficiency is improved, under the condition that resources are limited, the area with the high comprehensive exploration value Cg value is preferentially exploited, exploration funds and technical strength can be more effectively utilized, resource distribution is optimized, and the exploration efficiency is improved. And scientific and reliable data support is provided for development of mineral resources.

Description

Technical Field

[0001] The invention relates to the technical field of geological exploration, and in particular to a method for extracting data from geological and mineral exploration. Background Art

[0002] Geological exploration is a geological concept. It refers to the use of comprehensive geological means and methods such as geological surveying, physical and chemical exploration, and drilling engineering to obtain reliable geological and mineral information based on advanced geological science theories, on the basis of a large amount of field geological observations and the collection and collation of relevant geological data. After the geological exploration, subsequent geological and mineral development work is carried out based on the exploration information obtained.

[0003] The current method of extracting data from geological and mineral exploration in the existing technology is often to directly conduct sampling exploration in the exploration area, and directly carry out geological and mineral development work after obtaining geological and mineral resources that can be developed through exploration information. It is difficult to comprehensively consider key factors such as the content of key elements in the ores of different regional modules in the total exploration area, ore density, fault density, and ore body thickness based on the extracted mineral exploration data. It is difficult to optimize the allocation of exploration resources and mining resources, and it is also difficult to give priority to exploration and development of exploration areas with higher mineral richness and lower mining difficulty, thereby reducing the efficiency of exploration.

[0004] Therefore, there is an urgent need for a geological and mineral exploration data extraction method that can optimize the allocation of exploration resources and mining resources. Summary of the invention

[0005] The purpose of the present invention is to provide a method for extracting data in geological and mineral exploration to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for extracting data from geological and mineral exploration, comprising the following steps:

[0007] Rock sampling and analysis: The total area to be explored is divided into several exploration areas through the rock sampling and analysis module, and the rocks in multiple exploration areas are sampled and analyzed to obtain the key element content C in the sampled ore, the associated element content T in the sampled ore, and the ore density ρ, and upload them to the database;

[0008] Data preprocessing: uploading the data information in the database to the data processing module for decoding preprocessing to obtain the parameter values ​​calculated in the calculation processing module;

[0009] Calculate the comprehensive geological and mineral exploration value. Substitute the parameter values ​​obtained after decoding by the data processing module into the mineralization intensity value algorithm unit, geological anomaly value algorithm unit and geological and mineral comprehensive exploration value algorithm unit in the calculation processing module to calculate the comprehensive exploration values ​​Cg of different minerals in different exploration areas and upload them to the database. In addition, the comprehensive exploration values ​​Cg of different minerals in different exploration areas are integrated and calculated to obtain the average value Cg of the comprehensive mineral exploration value. ave Upload them to the database together;

[0010] Resource allocation, the comprehensive exploration value Cg of different minerals in different exploration areas and the average value Cg of the comprehensive exploration value of minerals ave In comparison, the average value Cg is higher than 0.3 times the comprehensive mineral exploration value. ave The exploration area is classified into interval 1, and the average value Cg below 0.3 times the comprehensive mineral exploration value ave The exploration area is classified into interval two. Through the resource allocation module, secondary high-density sampling exploration and mineral development are given priority in the exploration area with high comprehensive mineral exploration value Cg in interval one. Before the mineral development of the exploration area in interval one is completed, the exploration and mineral development of the exploration area in interval two are suspended.

[0011] Optionally, the geological and mineral exploration data extraction method is operated through a rock sampling and analysis module, a data processing module, a calculation processing module and a resource allocation module.

[0012] Optionally, the calculation and processing module includes a mineralization intensity value algorithm unit, a geological anomaly value algorithm unit and a geological and mineral comprehensive exploration value algorithm unit.

[0013] Optionally, the mineralization intensity value algorithm unit is as follows:

[0014]

[0015] in:

[0016] Mi represents the mineralization intensity value;

[0017] C represents the content of key elements in the sampled ore, reflecting the main mineralizing elements in the ore. It is the main component of the economic value of the ore and determines the grade and mining value of the ore.

[0018] T represents the content of associated elements in the sampled ore, reflecting the origin and source of the ore;

[0019] ρ represents the density of the ore, reflecting the relationship between the mass and volume of the ore;

[0020] S represents the area of ​​the planned exploration area. During geological exploration, the total area to be explored is divided into several exploration areas;

[0021] ω is the weight coefficient;

[0022] In the calculation formula:

[0023] The "(C×ρ×S)" part represents the total mass of the key elements in the ore within the exploration area obtained by multiplying the key element content C in the sampled ore by the ore density ρ to obtain the element mass per unit volume, and then multiplying it by the area S of the planned exploration area;

[0024] The "(T×ρ×S)" part represents the total mass of associated elements in the ore within the exploration area. The two calculation items are weighted by the weight coefficients ω and 1-ω and then squared to obtain a mineralization intensity value Mi that comprehensively reflects the key element content C in the sampled ore, the associated element content T in the sampled ore, the ore density ρ, the area S of the planned exploration area, and their relative importance, and is smoother and more stable.

[0025] Optionally, the geological outlier algorithm unit is as follows:

[0026]

[0027] in:

[0028] Ga represents the geological outlier;

[0029] Mi represents the mineralization intensity value;

[0030] Fd stands for fault density, which represents the number and length of faults per unit area. The greater the density, the more complex the geological structure and the more difficult it is to mine ores.

[0031] To represents the thickness of the ore body. The thicker the ore body, the greater the resistance to subsequent ore mining;

[0032] α and β are adjustment coefficients for fault density Fd and ore body thickness To, respectively;

[0033] D represents the exploration depth. The deeper the depth, the more difficult it is to mine the ore in the exploration area.

[0034] In the calculation formula:

[0035] The mineralization intensity value Mi is used as the denominator in the algorithm formula. Its value directly affects the calculation of the geological anomaly value Ga. The larger the mineralization intensity value Mi, the smaller the calculated geological anomaly value Ga.

[0036] Fault density Fd represents the number and length of faults per unit area. As the numerator in the formula, the larger its value is, the more complex the geological structure is, and the higher the calculated geological anomaly value Ga is.

[0037] The exploration depth D is the denominator of the subtracted term in the formula calculation. As the exploration depth D increases, the difficulty of mining the ore in the exploration area will become higher, so the geological anomaly value Ga will also become larger. Dividing the exploration depth D by 10 makes the impact of the exploration depth D on the geological anomaly value smoother, avoiding the situation where the exploration depth D accounts for a large proportion in the calculation of the geological anomaly value Ga when the value is large.

[0038] Optionally, the specific calculation formula of the fault density Fd is as follows:

[0039]

[0040] in:

[0041] Fd represents the total fault density;

[0042] Hi represents the fall of the i-th fault;

[0043] Li represents the extension length of the i-th fault;

[0044] S represents the area of ​​the planned survey area;

[0045] In the calculation formula:

[0046] The density of the fault is obtained by multiplying the i-th fault drop Hi of the i-th fault in the exploration area by the extension length Li of the i-th fault. The densities of multiple faults are added and divided by the area S of the planned exploration area to obtain the total fault density Fd in the exploration area.

[0047] Optionally, the geological and mineral comprehensive exploration value algorithm unit is as follows:

[0048]

[0049] in:

[0050] Cg represents the comprehensive mineral exploration value;

[0051] Mi represents the mineralization intensity value;

[0052] Ga represents the geological outlier;

[0053] Cc is the exploration and development cost, which is obtained from the geological and mineral exploration plan of the exploration department;

[0054] Es represents the environmental sensitivity index;

[0055] In the calculation formula:

[0056] Es is the environmental sensitivity index. When the value of the environmental sensitivity index Es increases, the formula The value of this part will decrease, and lead to a decrease in the comprehensive mineral exploration value Cg, that is, the increase in the environmental sensitivity index Es means that the exploration activities face higher environmental risks and restrictions.

[0057] Optionally, the specific calculation formula of the environmental sensitivity index Es is as follows:

[0058]

[0059] in:

[0060] Es represents the environmental sensitivity index;

[0061] Sd represents the area directly affected by the exploration activities;

[0062] S represents the area of ​​the planned survey area;

[0063] Ps represents the soil erosion rate, and the soil erosion rate value of the city in the survey area is obtained through the Meteorological Bureau;

[0064] Gh represents the probability of geological disasters. The number of geological disasters that occurred in the survey area in the past five years is obtained from the database of the Meteorological Bureau and divided by 100 to obtain the probability of geological disasters in the survey area.

[0065] In the calculation formula:

[0066] The ratio of the area Sd directly affected by the exploration activities to the area S of the planned exploration area reflects the direct impact of the exploration activities on the planned area. The impact obtained by subtracting this ratio from 1 directly reflects the impact of mineral exploration on the surrounding environment. As the area Sd directly affected by the exploration activities increases, the environmental sensitivity index Es increases.

[0067] The values ​​in this part reflect the comprehensive impact of exploration activities on environmental issues, among which environmental issues are reflected in two aspects: soil erosion and geological disasters. As mineral exploration and development work proceeds, when the soil erosion rate Ps and the probability of geological disasters Gh increase, the calculated environmental sensitivity index Es also increases;

[0068] Will and The square root of the multiplication of these two parts maps the degree of impact on the surrounding environment and environmental problems during mineral exploration and mining into an intuitive numerical range. The calculated environmental sensitivity index Es intuitively reflects the actual impact on environmental sensitivity during mineral exploration and collection.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] 1. The present invention forms the core framework of a method for extracting data from geological and mineral exploration through the mutual cooperation of three groups of algorithm units. In the process of analyzing and calculating the data extracted from geological and mineral exploration, the present invention can comprehensively consider key factors such as the content of key elements in ores in different regional modules within the total exploration area, the density of the ore, the fault density, and the thickness of the ore body, optimize the allocation of exploration resources and mining resources, give priority to exploration and development of exploration areas with higher mineral richness and lower exploration and mining difficulty, improve the efficiency of exploration, and help decision makers to more reasonably allocate the exploration and development of mineral resources. In the case of limited resources, priority is given to areas with higher comprehensive exploration values ​​Cg values, so as to more effectively utilize exploration funds and technical forces, optimize the allocation of resources, and provide scientific and reliable data support for the development of mineral resources.

[0071] 2. In the present invention, by calculating the comprehensive geological and mineral exploration value Cg of different exploration areas and analyzing the comprehensive geological and mineral exploration value Cg, it can more comprehensively reflect the distribution characteristics of geological and mineral resources, which helps geologists to more accurately judge the type, scale and distribution characteristics of mineral resources during the exploration process, and provide scientific and reliable data support for subsequent mineral development and utilization. At the same time, it can also help surveyors quickly and easily identify areas with complex geological conditions and difficult-to-mine mineral resources, and avoid these high-risk areas when collecting minerals, thereby reducing the risk of safety accidents and economic losses in the subsequent mineral collection process. It is worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 A flowchart of a method for extracting data for geological and mineral exploration;

[0073] Figure 2 The figure is a schematic diagram of the overall structure of a method for extracting data in geological and mineral exploration. DETAILED DESCRIPTION

[0074] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] For example, see Figure 1 to Figure 2 The present invention provides a method for extracting data from geological and mineral exploration, comprising the following steps:

[0076] Rock sampling and analysis: The total area to be explored is divided into several exploration areas through the rock sampling and analysis module, and the rocks in multiple exploration areas are sampled and analyzed to obtain the key element content C in the sampled ore, the associated element content T in the sampled ore, and the ore density ρ, and upload them to the database;

[0077] Data preprocessing: uploading the data information in the database to the data processing module for decoding preprocessing to obtain the parameter values ​​calculated in the calculation processing module;

[0078] Calculate the comprehensive geological and mineral exploration value. Substitute the parameter values ​​obtained after decoding by the data processing module into the mineralization intensity value algorithm unit, geological anomaly value algorithm unit and geological and mineral comprehensive exploration value algorithm unit in the calculation processing module to calculate the comprehensive exploration values ​​Cg of different minerals in different exploration areas and upload them to the database. In addition, the comprehensive exploration values ​​Cg of different minerals in different exploration areas are integrated and calculated to obtain the average value Cg of the comprehensive mineral exploration value. ave Upload them to the database together;

[0079] Resource allocation, the comprehensive exploration value Cg of different minerals in different exploration areas and the average value Cg of the comprehensive exploration value of minerals ave In comparison, the average value Cg is higher than 0.3 times the comprehensive mineral exploration value. ave The exploration area is classified into interval 1, and the average value Cg below 0.3 times the comprehensive mineral exploration value ave The exploration area is classified into interval two. Through the resource allocation module, secondary high-density sampling exploration and mineral development are given priority in the exploration area with high comprehensive mineral exploration value Cg in interval one. Before the mineral development of the exploration area in interval one is completed, the exploration and mineral development of the exploration area in interval two are suspended.

[0080] The method for extracting data from geological and mineral exploration includes a rock sampling and analysis module, a data processing module, a calculation processing module and a resource allocation module. The calculation processing module includes a mineralization intensity value algorithm unit, a geological anomaly value algorithm unit and a geological and mineral comprehensive exploration value algorithm unit.

[0081] In this embodiment:

[0082] The present invention forms the core framework of a method for extracting data from geological and mineral exploration through the cooperation of three algorithm units. In the process of analyzing and calculating the data extracted from geological and mineral exploration, the present invention can comprehensively consider key factors such as the content of key elements in ores in different regional modules within the total exploration area, the density of the ore, the fault density, and the thickness of the ore body, optimize the allocation of exploration resources and mining resources, give priority to the exploration and development of exploration areas with higher mineral richness and lower exploration and mining difficulty, and improve the efficiency of exploration.

[0083] By calculating the comprehensive geological and mineral exploration value Cg of different exploration areas, the distribution characteristics of geological and mineral resources can be more comprehensively reflected, which will help geologists to more accurately judge the type, scale and distribution characteristics of mineral resources during the exploration process, and provide scientific and reliable data support for subsequent mineral development and utilization. At the same time, it can also help explorers quickly and easily identify areas with complex geological conditions and difficult-to-mine mineral resources, and avoid these high-risk areas when collecting minerals, thereby reducing the risk of safety accidents and economic losses in the subsequent mineral collection process.

[0084] See also Figure 1 to Figure 2 , the mineralization intensity value algorithm unit is as follows:

[0085]

[0086] in:

[0087] Mi represents the mineralization intensity value;

[0088] C represents the content of key elements in the sampled ore, referring to the main mineralizing elements in the ore, such as copper (Cu), iron (Fe), gold (Su), etc. These elements are the main components of the economic value of the ore, and their content directly determines the grade and mining value of the ore. The larger the value of C, the higher the content of the element in the ore, which is usually proportional to the richness of the mineral.

[0089] T represents the content of associated elements in the sampled ore. The content of associated elements in the ore can reflect the origin and source of the ore, and can help geologists understand the process and mechanism of mineralization. According to the distribution of the content of associated elements in the ore in the exploration area, the potential mineralized area can be delineated;

[0090] ρ represents the density of the ore, reflecting the relationship between the mass and volume of the ore. In mineral exploration, density is an important parameter for calculating the actual mass of key elements in the ore;

[0091] S represents the area of ​​the planned exploration area. During geological exploration, the total area to be explored is divided into several exploration areas;

[0092] ω is a weight coefficient, which is used to adjust the relative importance of elements C and T when calculating the mineralization intensity index. When ω is close to 1, it means that the importance of element C is much greater than that of element T; when ω is close to 0, it means that the importance of element T is much greater than that of element C. The value of ω can be self-adjusted as the mineralization intensity value algorithm unit calculates;

[0093] The "(C×ρ×S)" part represents the total mass of the key elements in the ore in the exploration area obtained by multiplying the content C of the key elements in the ore by the density of the ore to obtain the element mass per unit volume, and then multiplying it by the area S of the exploration area;

[0094] Similarly, the part "(T×ρ×S)" represents the total mass of the associated elements in the ore within the exploration area. The two calculation items are weighted by the weight coefficients ω and 1-ω and then squared to obtain a smoother and more stable mineralization intensity value Mi that can comprehensively reflect the key element content, associated element content and ore density, exploration area area and their relative importance in the exploration area.

[0095] In this embodiment:

[0096] The mineralization intensity value Mi in the exploration area is calculated by comprehensively considering multiple influencing factors, including the content of key elements in the ore, the content of associated elements, the density of the ore, and the area of ​​the exploration area. Areas with higher mineralization intensity values ​​Mi mean that the content of key elements is higher, and these areas should become the focus of mineral exploration. By comparing the mineralization intensity index of different areas, geologists can determine which areas are more likely to have valuable mineral resources. After determining the exploration focus, geologists can optimize the layout of the exploration work according to the distribution of the mineralization intensity index Mi. For example, increase the exploration density in areas with higher mineralization intensity index Mi to more accurately understand the distribution and scale of mineral resources.

[0097] At the same time, the mineralization intensity index Mi is an important reference indicator. By analyzing the content distribution of key elements in the mineralization intensity index Mi, it can determine the enriched and depleted areas of ore, provide scientific and reliable guidance for mining operations, and also provide scientific and reliable data support for decision makers to evaluate the value of mineral resources in the exploration area, determine exploration and development strategies, and formulate budgets and plans.

[0098] See also Figure 1 to Figure 2 , the geological outlier algorithm unit is as follows:

[0099]

[0100] in:

[0101] Ga represents the geological outlier;

[0102] Mi represents the mineralization intensity value. As the denominator in the algorithm formula, Mi has a direct reverse effect on the calculation of the geological anomaly value Ga. The larger Mi is, the smaller the calculated geological anomaly value Ga is. This means that when the mineralization intensity in the exploration area is high, the determination to overcome the geological anomaly value in the area during geological mineral collection is also higher.

[0103] Fd stands for fault density, which indicates the number and length of faults per unit area. Faults are structural phenomena in which rocks or rock masses in the earth's crust undergo significant displacement along the fracture surface. The greater the density, the more complex the geological structure, and the more difficult it is to mine ores.

[0104] To represents the thickness of the ore body. The thicker the ore body, the greater the resistance to subsequent ore mining.

[0105] α and β are adjustment coefficients of fault density Fd and ore body thickness To, respectively. By adjusting the values ​​of these two coefficients, the weights of fault density Fd and ore body thickness To in the formula can be changed, and self-adjustment can be performed in the calculation of the geological outlier algorithm unit. For example, when the hardness of the ore to be mined is high, it means that the higher the ore body thickness To, the greater the difficulty of mining. Therefore, the value of β will be increased in the calculation. On the contrary, when the hardness of the ore to be mined is low, the value of β will be lowered in the calculation of the geological outlier algorithm unit.

[0106] D represents the exploration depth. In geological and mineral exploration, as the depth increases, the geological conditions will change, and the difficulty of mining the ore in the exploration area will become higher. Therefore, the geological anomaly value Ga will also become larger. Dividing 10 by the exploration depth D can make the impact of the exploration depth D on the geological anomaly value smoother, avoiding the situation where the exploration depth D accounts for a large proportion in the calculation of the geological anomaly value Ga when the value is large.

[0107] The specific calculation formula of fault density Fd is as follows:

[0108]

[0109] in:

[0110] Fd represents the total fault density;

[0111] Hi represents the fall of the i-th fault;

[0112] Li represents the extension length of the i-th fault;

[0113] S represents the area of ​​the planned survey area;

[0114] The density of the fault can be obtained by multiplying the numerical height difference of the i-th fault in the exploration area by its extension length and dividing it by the area of ​​the exploration area. The total fault density Fd in the exploration area can be obtained by adding the densities of multiple faults and dividing it by the area S of the planned exploration area.

[0115] In this embodiment:

[0116] The geological anomaly value Ga comprehensively considers multiple key factors such as mineralization intensity index, fault density, ore body thickness and exploration depth. It can more comprehensively reflect the distribution characteristics of geological mineral resources, and help geologists more accurately judge the type, scale and distribution characteristics of mineral resources during the exploration process, and provide scientific and reliable data support for subsequent mineral development and utilization. At the same time, it can also help explorers quickly and easily identify areas with complex geological conditions and difficult-to-mine mineral resources, and avoid these high-risk areas when collecting minerals, thereby reducing the risk of safety accidents and economic losses in the subsequent mineral collection process.

[0117] See also Figure 1 to Figure 2 , the algorithm unit of geological and mineral comprehensive exploration value is as follows:

[0118]

[0119] in:

[0120] Cg represents the comprehensive mineral exploration value;

[0121] Mi represents the mineralization intensity value. When the mineralization intensity value Mi increases, the numerator in the formula will increase, resulting in an increase in the value within the square root, which in turn increases the comprehensive mineral exploration value Cg. This means that the mineral resources in the exploration area may be more abundant and have higher development value.

[0122] Ga represents the geological anomaly value, which reflects the complexity of the geological structure and the quality of the exploration conditions. When the geological anomaly index Ga increases, the denominator in the formula will also increase, resulting in a smaller value of Cg. This means that when the mineralization intensity value Mi remains unchanged, that is, the total amount of mineral resources in the exploration area remains unchanged, the higher the geological anomaly index Ga, the greater the difficulty of exploration and development of ores in the exploration area;

[0123] Cc is the exploration and development cost, which is obtained from the geological and mineral exploration plan of the exploration department. Similarly, the exploration cost Cc is used as the denominator in the algorithm formula. Too high exploration cost will also reduce the comprehensive mineral exploration value Cg of the exploration area.

[0124] Es represents the environmental sensitivity index, and the specific calculation formula is as follows:

[0125]

[0126] in:

[0127] Es represents the environmental sensitivity index;

[0128] Sd represents the area directly affected by the exploration activities;

[0129] S represents the area of ​​the planned survey area;

[0130] Ps represents the rate of soil erosion; the value of soil erosion rate in the city where the survey area is located is obtained through the Meteorological Bureau;

[0131] Gh represents the probability of geological disasters. The number of geological disasters that occurred in the survey area in the past five years is obtained from the database of the Meteorological Bureau and divided by 100 to obtain the probability of geological disasters in the survey area.

[0132] The ratio of the area Sd directly affected by the exploration activities to the area S of the planned exploration area reflects the degree of direct impact of the exploration activities on the planned area. The larger the ratio, the greater the direct impact of the exploration activities on the area. Since dust and noise will be generated during the exploration process, it will affect the surrounding situation. Therefore, the area Sd directly affected must be greater than the area S of the planned exploration area. Therefore This part must be greater than 1. The degree of influence obtained by using this ratio -1 can more intuitively reflect the degree of influence of mineral exploration on the surrounding environment. As the area Sd directly affected by the exploration activities increases, the environmental sensitivity index Es will increase.

[0133] and The values ​​in this part reflect the comprehensive impact of exploration activities on environmental issues. Environmental issues are directly reflected in soil erosion and geological disasters. As mineral exploration and development work proceeds, when the rate of soil erosion and the probability of geological disasters increase, the calculated environmental sensitivity index Es will also increase.

[0134] When the environmental sensitivity index Es increases, The value of this part will decrease, and lead to a decrease in the comprehensive exploration value Cg of mineral resources. Specifically, the increase in the environmental sensitivity index means that the exploration activities face higher environmental risks and restrictions. Therefore, when calculating the comprehensive exploration value Cg of the exploration area, it is necessary to comprehensively consider the balance between environmental protection and economic benefits;

[0135] In this embodiment:

[0136] The comprehensive geological and mineral exploration value algorithm can comprehensively consider multiple factors such as mineralization intensity, geological anomalies, exploration costs and environmental sensitivity, providing a more comprehensive evaluation capability for geological and mineral exploration. By calculating different comprehensive exploration values ​​Cg values ​​for different exploration areas, geological and mineral exploration personnel can more accurately evaluate the development potential of different exploration areas, thereby optimizing exploration strategies and improving exploration efficiency.

[0137] In addition, the importance of environmental protection in mineral exploration is emphasized in the calculation of the geological and mineral comprehensive exploration value algorithm. By introducing the environmental sensitivity index Es, exploration activities can pay more attention to environmental protection, achieve sustainable development and utilization of mineral resources, and promote sustainable development.

[0138] After calculating the geological anomaly values ​​Cg of different exploration areas, the different geological and mineral comprehensive exploration values ​​Cg of different exploration areas are integrated to obtain the average value Cg of the geological and mineral comprehensive exploration value. ave Upload the geological anomaly values ​​Cg of different exploration areas to the database for comparison, and compare the average value Cg of the geological and mineral comprehensive exploration value higher than 0.3 times. ave The exploration area is classified into interval 1, and the average value Cg below 0.3 times the comprehensive geological and mineral exploration value ave The exploration area is classified into interval two. In interval one, secondary high-density sampling exploration and mineral development are given priority in the exploration area with high comprehensive mineral exploration value Cg. Before the mineral development in the exploration area in interval one is completed, the mineral development in the exploration area in interval two is suspended.

[0139] In summary, the different comprehensive exploration values ​​Cg values ​​of different exploration areas calculated by comprehensively considering multiple factors such as mineralization intensity, geological anomalies, exploration costs and environmental sensitivity can provide a scientific basis for the development of mineral resources and help decision makers to more reasonably allocate the exploration and development of mineral resources. In the case of limited resources, areas with higher comprehensive exploration values ​​Cg values ​​can more effectively utilize exploration funds and technical forces, optimize the allocation of resources, and are worthy of promotion and use.

[0140] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for extracting data from geological and mineral exploration, characterized in that: The following steps are involved: Rock sampling and analysis: The total area to be explored is divided into several exploration areas through the rock sampling and analysis module, and the rocks in multiple exploration areas are sampled and analyzed to obtain the key element content C in the sampled ore, the associated element content T in the sampled ore, and the ore density ρ, and upload them to the database; Data preprocessing: uploading the data information in the database to the data processing module for decoding preprocessing to obtain the parameter values ​​calculated in the calculation processing module; Calculate the comprehensive geological and mineral exploration value. Substitute the parameter values ​​obtained after decoding by the data processing module into the mineralization intensity value algorithm unit, geological anomaly value algorithm unit and geological and mineral comprehensive exploration value algorithm unit in the calculation processing module to calculate the comprehensive exploration values ​​Cg of different minerals in different exploration areas and upload them to the database. In addition, the comprehensive exploration values ​​Cg of different minerals in different exploration areas are integrated and calculated to obtain the average value Cg of the comprehensive mineral exploration value. ave Upload them to the database together; Resource allocation, the comprehensive exploration value Cg of different minerals in different exploration areas and the average value Cg of the comprehensive exploration value of minerals ave In comparison, the average value Cg is higher than 0.3 times the comprehensive mineral exploration value. ave The exploration area is classified into interval 1, and the average value Cg below 0.3 times the comprehensive mineral exploration value ave The exploration area is classified into interval two. Through the resource allocation module, secondary high-density sampling exploration and mineral development are given priority in the exploration area with high comprehensive mineral exploration value Cg in interval one. Before the mineral development of the exploration area in interval one is completed, the exploration and mineral development of the exploration area in interval two are suspended.

2. The method for extracting data from geological and mineral exploration according to claim 1, characterized in that: The geological and mineral exploration data extraction method is operated through a rock sampling and analysis module, a data processing module, a calculation processing module and a resource allocation module.

3. The method for extracting data from geological and mineral exploration according to claim 2, characterized in that: The calculation and processing module includes a mineralization intensity value algorithm unit, a geological anomaly value algorithm unit and a geological and mineral comprehensive exploration value algorithm unit.

4. The method for extracting data from geological and mineral exploration according to claim 3, characterized in that: The mineralization intensity value algorithm unit is as follows: in: Mi represents the mineralization intensity value; C represents the key element content in the sampled ore, reflecting the main ore-forming elements in the ore; T represents the content of associated elements in the sampled ore, reflecting the origin and source of the ore; ρ represents the density of ore; S represents the area of ​​the planned exploration area. During geological exploration, the total area to be explored is divided into several exploration areas; ω is the weight coefficient; In the calculation formula: "(C×ρ×S)" means that the key element content C in the sampled ore is multiplied by the ore density ρ to obtain the element mass per unit volume, and then multiplied by the area S of the planned exploration area to obtain the total mass of the key elements in the ore within the exploration area; The "(T×ρ×S)" part represents the total mass of associated elements in the ore within the exploration area. The two calculation items are weighted by the weight coefficients ω and 1-ω and then squared to obtain a comprehensive reflection of the key element content C in the sampled ore, the associated element content T in the sampled ore, the ore density ρ, the area S of the planned exploration area and their relative importance.

5. The method for extracting data from geological and mineral exploration according to claim 4, characterized in that: The geological outlier algorithm unit is as follows: in: Ga represents the geological outlier; Mi represents the mineralization intensity value; Fd stands for fault density, which represents the number and length of faults per unit area. The greater the density, the more complex the geological structure. To represents the thickness of the ore body. The thicker the ore body, the greater the resistance to subsequent ore mining; α and β are adjustment coefficients for fault density Fd and ore body thickness To, respectively; D represents the exploration depth. The deeper the depth, the more difficult it is to mine the ore in the exploration area. In the calculation formula: Fault density Fd represents the number and length of faults per unit area. As the numerator in the formula, the larger its value is, the more complex the geological structure is, and the higher the resulting geological anomaly value Ga is.

6. A method for extracting data from geological and mineral exploration according to claim 5, characterized in that: The specific calculation formula of the fault density Fd is as follows: in: Fd represents the total fault density; Hi represents the fall of the i-th fault; Li represents the extension length of the i-th fault; S represents the area of ​​the planned survey area; In the calculation formula: The density of the fault is obtained by multiplying the i-th fault drop Hi of the i-th fault in the exploration area by the extension length Li of the i-th fault. The densities of multiple faults are added and divided by the area S of the planned exploration area to obtain the total fault density Fd in the exploration area.

7. A method for extracting data from geological and mineral exploration according to claim 6, characterized in that: The algorithm unit of the geological and mineral comprehensive exploration value is as follows: in: Cg represents the comprehensive mineral exploration value; Mi represents the mineralization intensity value; Ga represents the geological outlier; Cc is the exploration and development cost, which is obtained from the geological and mineral exploration plan of the exploration department; Es represents the environmental sensitivity index; In the calculation formula: When the value of the environmental sensitivity index Es increases, the formula The value of this part decreases, resulting in a decrease in the comprehensive mineral exploration value Cg, that is, the increase in the environmental sensitivity index Es means that exploration activities face higher environmental risks and restrictions.

8. A method for extracting data from geological and mineral exploration according to claim 7, characterized in that: The specific calculation formula of the environmental sensitivity index Es is as follows: in: Es represents the environmental sensitivity index; Sd represents the area directly affected by the exploration activities; S represents the area of ​​the planned survey area; Ps represents the soil erosion rate; Gh represents the probability of geological disasters; In the calculation formula: The direct impact of exploration activities on the planned area is reflected by dividing the area Sd directly affected by the exploration activities by the area S planned for the exploration area. The impact obtained by -1 can intuitively reflect the impact of mineral exploration on the surrounding environment. As the area Sd directly affected by the exploration activities increases, the environmental sensitivity index Es increases. This part reflects the comprehensive impact of exploration activities on environmental issues, among which environmental issues are reflected in two aspects: soil erosion and geological disasters. With the progress of mineral exploration and development, when the soil erosion rate Ps and the probability of geological disasters Gh increase, the environmental sensitivity index Es also increases; Will and The square root of the multiplication of these two parts maps the degree of impact on the surrounding environment and environmental problems during mineral exploration and mining into an intuitive numerical range. The calculated environmental sensitivity index Es intuitively reflects the actual impact on environmental sensitivity during mineral exploration and collection.

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