Geological exploration data acquisition method

Abstract

The invention discloses a geological exploration data acquisition method, and belongs to the technical field of geological exploration acquisition. The method comprises a data acquisition module, a data processing module, a result analysis module and an exploration strategy making and implementing module, the data acquisition module is responsible for performing exploration acquisition on basic exploration data of each exploration area, and a rock physical characteristic reflecting unit is responsible for calculating and outputting a rock average density estimated value YM; the rock distribution condition evaluation unit is responsible for calculating and outputting a rock distribution index YF, the comprehensive rock property evaluation unit is responsible for calculating and outputting a comprehensive rock evaluation value YZ, and the result analysis module is responsible for receiving the comprehensive rock evaluation values YZ of a plurality of exploration areas divided in the whole area, arranging the sizes of the comprehensive rock evaluation values YZ and analyzing the sizes of the comprehensive rock evaluation values YZ. And the exploration strategy making and implementing module is responsible for receiving the analysis result and making and implementing an exploration strategy. According to the invention, a comprehensive evaluation system is formed to comprehensively reflect the distribution and properties of rocks, and the exploration efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of geological exploration and collection, and particularly to a method for collecting geological exploration data. Background Art

[0002] Geological exploration is an important link in the development of mineral resources. Its purpose is to collect, adjust and analyze geological structures, rock types, and the distribution of mineral resources in detail through scientific methods and technical means.

[0003] With the development of technology, especially the application of modern exploration equipment such as ground penetrating radar and drilling machines, the method for collecting geological exploration data has been greatly improved. However, the existing data collection methods often only focus on single and multiple independent parameters, lacking a comprehensive evaluation system to comprehensively reflect the distribution and properties of rocks.

[0004] To overcome the above deficiencies, we propose a new method for collecting geological exploration data. This method is calculated and analyzed based on three interrelated and interacting algorithm formulas, which are respectively used to estimate the density, distribution, and comprehensive characteristics evaluation of rocks, and can comprehensively evaluate and analyze the distribution of rocks in geological exploration. Summary of the Invention

[0005] The technical problem to be solved by the present invention is that there are disadvantages in the prior art such as single parameter evaluation, low efficiency of manual exploration, and lack of an iterative optimization mechanism. For this reason, we propose a method for collecting geological exploration data.

[0006] The technical solution mainly includes: a method for collecting geological exploration data, including a data collection module, a data processing module, a result analysis module, and an exploration strategy formulation and implementation module. The data processing module includes a unit for reflecting the physical properties of rocks, a unit for evaluating the distribution of rocks, and a unit for comprehensively evaluating the properties of rocks. Its characteristics are as follows: The exploration division and data collection module: responsible for dividing the entire exploration area and collecting basic exploration data such as the gray value, drilling depth, thickness, and water content of all rocks in each exploration area. The unit for reflecting the physical properties of rocks: responsible for receiving the basic exploration data and calculating and outputting the estimated value YM of the average density of rocks based on the average value of each basic exploration data in the exploration area. The unit for evaluating the distribution of rocks: responsible for receiving the basic exploration data and the estimated value YM of the average density of rocks, and calculating and outputting the rock distribution index YF. The unit for comprehensively evaluating the properties of rocks: responsible for receiving the basic exploration data, the estimated value YM of the average density of rocks, and the rock distribution index YF, and calculating and outputting the rock comprehensive evaluation value YZ. The result analysis module: responsible for receiving the comprehensive rock evaluation value YZ of multiple exploration areas divided within the entire area, arranging them in size and analyzing them; The exploration strategy formulation and implementation module: responsible for receiving the analysis results and formulating and implementing exploration strategies.

[0007] Preferably, the calculation formula of the unit reflecting the physical properties of the rock is as follows: ; Where: YM is the estimated value of the average rock density; YH avg is the average rock gray value; KS avg is the average drilling depth of the rock; HD avg is the average thickness of the rock; HS avg is the average water content of the rock; The estimated value of the average rock density YM reflects the physical properties and spatial location information of the rock; A high YM value indicates that the rock in the exploration area is hard and dense; A low YM value indicates that the rock in the exploration area is loose and contains more pores; Both a and b are conversion coefficients.

[0008] Preferably, the average rock gray value YH avg has the following calculation formula: YH avg =(YH1 + YH2 + YH3 +...... + YH N ) / N; N is the total amount of rock, and N reflects the total amount of rock explored within the exploration area; YH1 is the gray value of the first rock, YH2 is the gray value of the second rock, YH3 is the gray value of the third rock, and YH N is the gray value of the Nth rock; The average drilling depth of the rock KS avg has the following calculation formula: KS avg =(KS1 + KS2 + KS3 +...... + KS N ) / N; KS1 is the drilling depth of the first rock, KS2 is the drilling depth of the second rock, KS3 is the drilling depth of the third rock, and KS N is the drilling depth of the third rock; The average thickness of the rock HD avg has the following calculation formula: HDavg =(HD1 + HD2 + HD3 +...... + HD N ) / N; HD1 is the thickness of the first rock, HD2 is the thickness of the second rock, HD3 is the thickness of the third rock, and HD N is the thickness of the Nth rock; The average water content HS of the rock avg is calculated as follows: HS avg =(HS1 + HS2 + HS3 +...... + HS N ) / N; HS1 is the water content of the first rock, HS2 is the water content of the second rock, HS3 is the water content of the third rock, and HS N is the water content of the Nth rock.

[0009] Preferably, before the data acquisition module inputs the collected basic exploration data into the unit reflecting the physical properties of the rock for reception and calculation, the gray value, drilling depth, thickness, and water content of the rock in the exploration area need to be averaged.

[0010] Preferably, the calculation formula of the unit for evaluating the rock distribution is as follows: ; Where: YF is the rock distribution index; YH max is the maximum gray value of the rock, and YH max reflects the degree of the maximum gray value in the exploration area, and specifically is the maximum value in YH1 + YH2 + YH3 +...... + YH N ; The square root calculation in is to reduce the influence of the gray value difference on the result and make the comparison between different rocks in the exploration area tend to be smooth; The square root calculation in is to reduce the direct influence of the water content on the calculation of the rock distribution index YF; A high YF value indicates that the rock is widely and evenly distributed in the exploration area; A low YF value indicates that the rock is sparsely and irregularly distributed; c, d, and e are all conversion coefficients.

[0011] Preferably, the calculation formula of the unit for comprehensively evaluating the rock properties is as follows: ; Where: YZ is the comprehensive evaluation value of the rock; HS max is the maximum water content of the rock, HS max reflects the maximum degree of water content in this exploration area, and specifically is the maximum value among HS1 + HS2 + HS3 +...... + HS N ; A high YZ value indicates that the rock has comprehensive characteristics of high density, uniform distribution, and appropriate water content in this exploration area; A low YZ value indicates poor comprehensive characteristics of the rock; The square root in is to reduce the influence of density difference on subsequent calculations; reflects the ratio of the average water content level of the rock in this exploration area to the maximum water content of this exploration area, thereby evaluating the degree to which the water content state of the rock approaches / reaches the limit value of this exploration area; h, i, and j are all conversion coefficients.

[0012] Preferably, after calculating and outputting the comprehensive evaluation value YZ of the rocks in all exploration areas of the entire exploration area, the result analysis module conducts a comprehensive analysis, and the specific analysis is as follows: First, arrange all the comprehensive evaluation values YZ of the rocks in the entire exploration area from large to small, that is, the front of the arrangement is high value, and the back of the arrangement is low value; Secondly, the comprehensive evaluation value YZ of the rocks in the position slightly in front of the median reflects that the mining value and feasibility of the rocks in these exploration areas are high, and the mining and exploration of mineral resources should be prioritized; The comprehensive evaluation value YZ of the rocks in the position slightly behind the median reflects that the mining value and feasibility of the rocks in these exploration areas are low, and the mining of this exploration area should be shelved, and the gray value, drilling depth, thickness, and water content of the rock should be re - collected and calculated.

[0013] Preferably, the equipment used by the data acquisition module includes a ground penetrating radar, a drilling machine, a thickness measuring tool, and a water content measuring instrument; The equipment used by the data processing module includes data processing equipment; The equipment used by the result analysis module includes data integration and analysis equipment; The equipment used by the exploration strategy formulation and implementation module includes an excavator and a loader.

[0014] The technical effects and advantages of the present invention: In the present invention, through the introduction of three interrelated and interacting algorithmic formulas for calculation and analysis, a comprehensive evaluation system is formed to comprehensively reflect the distribution and properties of rocks. This greatly improves the accuracy and comprehensiveness of the evaluation results. At the same time, through the calculation and analysis of the algorithmic formulas, the accuracy of exploration can be further improved, making the exploration results more objective and scientific.

[0015] In the present invention, by observing the comprehensive evaluation value YZ of rocks in each area of the entire area and combining with the rock distribution index YF to formulate the acquisition method of the exploration and exploitation route, a cyclic influence mechanism can be formed. This mechanism enables the method to be iteratively optimized based on new data, continuously improving the accuracy and efficiency of exploration. At the same time, the establishment of the iterative optimization mechanism also enables the exploration strategy and data acquisition method to continuously adapt to new geological conditions and resource distribution situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is the method flow chart of this geological exploration data acquisition method; Figure 2 is the overall structural schematic diagram of this geological exploration data acquisition method; Figure 3 is the structural schematic diagram of the data processing module in the present invention; Figure 4 is the flow schematic diagram of the averaging process in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0017] Now, the present invention will be further described in detail with reference to the accompanying drawings and preferred embodiments.

[0018] Referring to Figures 1 - 4 as shown, the present invention provides a technical solution: a geological exploration data acquisition method, including a data acquisition module, a data processing module, a result analysis module, and an exploration strategy formulation and implementation module. The data processing module includes a unit for reflecting the physical properties of rocks, a unit for evaluating the rock distribution, and a unit for comprehensively evaluating the rock properties, and is characterized in that: Exploration division and data acquisition module: responsible for dividing the exploration area of the entire exploration area and collecting the basic exploration data of the gray value, drilling depth, thickness, and water content of all rocks in each exploration area; Unit for reflecting the physical properties of rocks: responsible for receiving the basic exploration data and calculating and outputting the estimated value YM of the average density of rocks based on the average value of each basic exploration data in the exploration area; Unit for evaluating the rock distribution: responsible for receiving the basic exploration data and the estimated value YM of the average density of rocks and calculating and outputting the rock distribution index YF; Comprehensive rock property evaluation unit: responsible for receiving basic exploration data, the estimated average rock density value YM, and the rock distribution index YF, and calculating and outputting the comprehensive rock evaluation value YZ; Result analysis module: responsible for receiving the comprehensive rock evaluation values YZ of multiple exploration areas divided within the entire area, and arranging and analyzing them by size; Exploration strategy formulation and implementation module: responsible for receiving the analysis results, and formulating and implementing exploration strategies; The equipment used by the data acquisition module includes a ground penetrating radar, a drilling machine, a thickness measuring tool, and a water content measuring instrument; The equipment used by the data processing module includes data processing equipment; The equipment used by the result analysis module includes data integration and analysis equipment; The equipment used by the exploration strategy formulation and implementation module includes an excavator and a loader.

[0019] In summary, the method steps, modules, units, and equipment used in this geological exploration data acquisition method form a complete geological exploration data acquisition and analysis system, which can comprehensively evaluate and analyze the distribution of rocks in geological exploration, and provide a scientific basis for subsequent mining exploration strategies.

[0020] Refer to Figures 1 - 4 As shown, in this implementation plan: the calculation formula of the unit reflecting the physical properties of rocks is as follows: ; Where: YM is the estimated average rock density value; YH avg is the average rock gray value; KS avg is the average rock drilling depth; HD avg is the average rock thickness; HS avg is the average rock water content; The estimated average rock density value YM reflects the physical properties and spatial position information of the rock; A high YM value indicates that the rock in the exploration area is hard and dense; A low YM value indicates that the rock in the exploration area is loose and contains more pores; Both a and b are conversion coefficients.

[0021] This algorithm unit This calculation part aims to combine the gray value of the rock with the drilling depth to reflect the relationship between the physical properties and spatial position of the rock. Among them, the average rock gray value YH avgIt reflects the reflection ability of rocks to electromagnetic waves, and its magnitude is closely related to the composition and structure of rocks. Taking the square root of it can reduce the differences between gray values, making the comparison between different rocks smoother, while retaining the average gray value YH of the rocks avg of the main changing trend, and multiplying by the average drilling depth KS of the rocks avg , can combine the physical properties of the rocks with their positions in space, thus obtaining a composite index that takes into account both the rock properties and their spatial positions. This calculation part serves as the numerator part and is divided by the denominator to obtain the estimated value YM of the average rock density. This calculation process comprehensively considers the physical properties, spatial positions, as well as thickness and water content factors of the rocks, providing a basis for the subsequent calculation of the rock distribution index YF and the comprehensive rock evaluation value YZ; As the denominator part after conversion, it is consistent with the molecular weight dimension calculation, aiming to combine the thickness and water content of the rocks to reflect the influence of the volume characteristics and water content of the rocks on density estimation. Among them, the average rock thickness HD avg is an important index of its volume characteristics, while the average rock water content HS avg reflects the water content inside the rocks. Adding the average rock thickness HD avg and the average rock water content HS avg can comprehensively consider the influence of the volume and water content of the rocks on density, and as the denominator, divided by the numerator, to obtain the estimated value YM of the average rock density, thus improving the accuracy and comprehensiveness of density estimation; In this algorithm unit, the average rock gray value YH avg reflects the physical properties of the rocks and is an important basis for evaluating rock types, compositions, and origins. Combining the drilling depth and thickness can more accurately understand the distribution and morphology of the rocks in the underground space. The average rock water content HS avg reveals the water-bearing state of the rocks and has an important impact on the physical and mechanical properties of the rocks. Combining these parameters can comprehensively reflect the density characteristics of the rocks and improve the data accuracy; The accurate estimated value YM of the rock density in this algorithm helps exploration to more deeply understand the distribution and properties of underground rocks, thus formulating a more reasonable exploration strategy. And the estimated value YM of the rock density is the basis for subsequent formula calculations. The accuracy of the estimated value YM of the rock density directly affects the calculation results of the rock distribution index YF and the comprehensive rock evaluation value YZ. Therefore, improving the accuracy of the estimated value YM of the rock density is crucial for the reliability of the entire evaluation system.

[0022] Refer to Figures 1 - 4 as shown, in this implementation plan: the average rock gray value YHavg The calculation formula is as follows: YH avg =(YH1 + YH2 + YH3 +...... + YH N ) / N; N is the total amount of rocks, and N reflects the total amount of rocks explored in this exploration area; YH1 is the gray value of the first rock, YH2 is the gray value of the second rock, YH3 is the gray value of the third rock, and YH N is the gray value of the Nth rock; The average drilling depth KS of the rock avg The calculation formula is as follows: KS avg =(KS1 + KS2 + KS3 +...... + KS N ) / N; KS1 is the drilling depth of the first rock, KS2 is the drilling depth of the second rock, KS3 is the drilling depth of the third rock, and KS N is the drilling depth of the third rock; The average thickness HD of the rock avg The calculation formula is as follows: HD avg =(HD1 + HD2 + HD3 +...... + HD N ) / N; HD1 is the thickness of the first rock, HD2 is the thickness of the second rock, HD3 is the thickness of the third rock, and HD N is the thickness of the Nth rock; The average water content HS of the rock avg The calculation formula is as follows: HS avg =(HS1 + HS2 + HS3 +...... + HS N ) / N; HS1 is the water content of the first rock, HS2 is the water content of the second rock, HS3 is the water content of the third rock, and HS N is the water content of the Nth rock; Before the data acquisition module inputs the basic exploration data collected into the unit reflecting the physical properties of the rock for reception and calculation, it is necessary to average the gray value, drilling depth, thickness, and water content of the rocks in this exploration area; Averaging processing can reduce the influence brought by abnormal data and errors at individual measurement points. In geological exploration, due to the complexity of geological conditions and the uncertainty of measurement equipment, there will be certain errors or deviations in the data of individual measurement points. By averaging the data of multiple measurement points, these outliers can be smoothed out, thus obtaining more accurate and reliable average data, which helps to improve the accuracy of subsequent density estimation, distribution evaluation, and comprehensive evaluation; Averaging processing can enhance the representativeness of data. In geological exploration, it is necessary to understand and analyze the rock characteristics of the entire area. The data of individual measurement points often only reflect the local characteristics of that point, while the average data can more comprehensively reflect the rock characteristics of the entire area. By averaging the data of multiple measurement points, more representative average data can be obtained, so as to better understand the rock situation of the entire area; Averaging processing can simplify the data processing process and improve the evaluation efficiency. In geological exploration, a large amount of measurement data needs to be processed and analyzed. If each measurement point data is processed one by one, it will not only consume a lot of time and energy, but also be prone to errors. By averaging the data of multiple measurement points, the complex data processing process can be simplified into the processing and analysis of average data, thus improving the evaluation efficiency; Averaging processing also provides reliable basic data for subsequent analysis and evaluation. In geological exploration, density estimation, distribution evaluation, and comprehensive evaluation need to be carried out according to the gray value, thickness, and water content parameters of rocks. As the basic data for these evaluations, the accuracy and representativeness of the average data directly affect the accuracy and reliability of the evaluation results. Therefore, averaging processing plays an important supporting role in subsequent analysis and evaluation; In summary, averaging processing has significant beneficial effects on the processing of rock gray value, thickness, and water content parameters in geological exploration. It can improve the accuracy and representativeness of data, simplify the data processing process, improve the evaluation efficiency, and provide reliable basic data for subsequent analysis and evaluation. Therefore, in geological exploration, the method of averaging processing should be fully utilized to reasonably average the measurement data to improve the accuracy and reliability of exploration results.

[0023] Refer to Figures 1 - 4 As shown, in this implementation plan: The calculation formula of the unit for evaluating the rock distribution situation is as follows: ; Where: YF is the rock distribution index; YH max is the maximum gray value of the rock, YH maxReflects the maximum degree of gray value within the exploration area, specifically the maximum value of YH1 + YH2 + YH3 +...... + YH N in; The square root calculation in is to reduce the impact of gray value differences on the result and make the contrast between different rocks within the exploration area tend to be smooth; The square root calculation in is to reduce the direct impact of water content on the calculation of the rock distribution index YF; A high YF value indicates that the rocks are widely and evenly distributed within the exploration area; A low YF value indicates that the rocks are sparsely and irregularly distributed; c, d, and e are all conversion coefficients.

[0024] This algorithm unit This calculation part aims to combine the estimated value of the average rock density YM with the ratio of the rock gray value to the maximum value to reflect the distribution of rocks within the area. Among them, the estimated value of the rock density YM reflects the physical properties and spatial location information of the rocks, while reflects the ratio of the average degree of rock gray value to the maximum value of the area. Multiplying the two can comprehensively consider the physical properties, spatial location, and the impact of gray value ratio on the distribution of rocks; In the calculation part, for the average water content HS of the rocks avg performing a square root operation may be to reduce the direct impact of water content on the calculation of the rock distribution index YF, so that when the water content changes within a small range, the impact on the estimated value of the rock density YMI is smoother. Among them, the average drilling depth KS of the rocks avg reflects the vertical position of the rocks in space. Adding the average drilling depth KS of the rocks avg to the average water content HS of the rocks avg is to comprehensively consider the impact of the depth and water content of the rocks on the distribution. Such a combination may help identify rock areas that are both located at a deeper position and contain a certain amount of water, and these areas have special geological significance and mining value. Using the average rock thickness HD avg as the divisor is to combine the distribution of the rocks with their volume characteristics to obtain a composite index that takes into account both the rock distribution and its volume characteristics. Such a treatment helps to more comprehensively evaluate the distribution of rocks within the area; In this algorithm unit, the rock distribution index YF can intuitively reflect the distribution of rocks within the area, and thus provides an important visualization tool. Through the distribution map of the rock distribution index YF, the concentrated distribution areas and scattered distribution areas of the rocks can be clearly seen, which helps to determine the key areas for exploration; By comparing the rock distribution index YF in different regions, it is possible to preferentially select regions where the rock distribution is more concentrated and favorable for exploration. This can not only improve the exploration efficiency, but also reduce the exploration cost and enhance the economic benefits. The rock distribution index YF is one of the important inputs for comprehensively evaluating the calculation of rock property units, and its accuracy directly affects the reliability of the comprehensive rock evaluation value YZ. Therefore, improving the accuracy of the rock density estimation value YMI is of great significance for the accuracy and reliability of the entire evaluation system.

[0025] Refer to Figures 1 - 4 As shown, in this implementation plan: the calculation formula for comprehensively evaluating rock property units is as follows: ; Where: YZ is the comprehensive rock evaluation value; HS max is the maximum water content of the rock, and HS max reflects the maximum degree of water content in the exploration area, and specifically is the maximum value among HS1 + HS2 + HS3 +...... + HS N ; A high YZ value indicates that the rock has comprehensive characteristics of high density, uniform distribution, and appropriate water content in the exploration area; A low YZ value indicates poor comprehensive characteristics of the rock; The square root in is to reduce the influence of density differences on subsequent calculations; h, i, and j are all conversion coefficients; This algorithm unit This calculation part aims to combine the rock distribution index YF with the square root value of the borehole depth to reflect the comprehensive evaluation of the rock in the region. The rock density estimation value YMI comprehensively reflects the physical characteristics, spatial position, gray value ratio, and the influence of thickness and water content factors on the distribution of the rock. Multiplying the rock density estimation value YMI by the square root value of the average borehole depth KS avg can further consider the influence of the rock's spatial position on its comprehensive evaluation; Taking the square root of the rock density estimation value YM in avgDividing by the estimated value YM of the square root of the rock density is to combine the thickness of the rock with the square root of its density, so as to obtain a composite index that takes into account both the rock volume and its density; In addition, The calculation part reflects the proportion of the average water content of the rock relative to the maximum water content in the region. Multiplying it by may be to comprehensively consider the impacts of the thickness, density, and water content of the rock on the comprehensive evaluation value YZ of the rock. Such processing helps to identify rock areas that have a certain thickness and density and contain an appropriate amount of water; In this algorithm unit, the comprehensive evaluation value YZ of the rock comprehensively considers the density, distribution, and multiple physical properties of the rock, and thus provides a more comprehensive and accurate rock evaluation result. Through the comprehensive evaluation value YZ of the rock, the nature and characteristics of the rock can be comprehensively understood, providing a scientific basis for subsequent exploration and mining work; By comparing the comprehensive evaluation values YZ of the rock in different regions, it is possible to preferentially select regions with higher comprehensive evaluation values for mining exploration. This can not only improve resource utilization rate, but also reduce mining costs and improve economic benefits. At the same time, based on the distribution of the comprehensive evaluation value YZ of the rock, a more reasonable mining plan and route can be formulated to ensure the smooth progress of the mining work; The comprehensive evaluation value YZ of the rock not only reflects the situation of the current exploration area, but also indirectly affects the measurement and calculation of the parameters in the unit reflecting the physical properties of the rock by influencing subsequent exploration strategies and data collection. This cyclic influence mechanism helps to continuously optimize the exploration process, improve exploration efficiency and accuracy. At the same time, through continuous data feedback and iterative optimization, the evaluation system can be continuously improved and optimized, and the reliability and practicality of the entire system can be improved.

[0026] Referring to Figures 1 - 4 As shown, in this implementation plan: after the result analysis module calculates and outputs the comprehensive evaluation values YZ of the rock in all exploration areas of the entire exploration area, a comprehensive analysis is carried out, and the specific analysis is as follows: First, arrange all the comprehensive evaluation values YZ of the rock in the entire exploration area from large to small, that is, the front of the arrangement is the high value and the back is the low value; Secondly, the comprehensive evaluation value YZ of the rock in the position slightly in front of the median value reflects that the mining value and feasibility of the rock in these exploration areas are high, and the mining and exploration of mineral resources should be prioritized; The comprehensive evaluation value YZ of the rock in the position slightly behind the median value reflects that the mining value and feasibility of the rock in these exploration areas are low. The mining of this exploration area should be shelved, and the gray value, drilling depth, thickness, and water content of the rock should be re-collected and calculated; The comprehensive rock evaluation value YZ comprehensively considers the density, distribution, and multiple physical properties of rocks, thereby providing a more comprehensive and accurate rock evaluation result. Through the comprehensive rock evaluation value YZ, the nature and characteristics of rocks can be comprehensively understood, providing a scientific basis for subsequent exploration and mining work. By comparing the comprehensive rock evaluation values YZ of different regions, areas with higher comprehensive evaluation values can be preferentially selected for mining exploration. This can not only improve resource utilization efficiency but also reduce mining costs and increase economic benefits. At the same time, based on the distribution of the comprehensive rock evaluation value YZ, a more reasonable mining plan and route can be formulated to ensure the smooth progress of mining work; The comprehensive rock evaluation value YZ not only reflects the current exploration area but also indirectly affects the parameters in the unit reflecting rock physical properties by influencing subsequent exploration strategies and data collection. This cyclic influence mechanism helps to continuously optimize the exploration process, improving exploration efficiency and accuracy.

[0027] To better understand the present invention, the implementation process of the specific method is given below: First, the entire area is divided into several smaller sub-areas. Such a division is based on various factors such as geological structure, topography, and known mineral resource distribution. Each sub-area is regarded as an independent evaluation unit for more precise and detailed data collection and analysis; Within each sub-region, the density of the rock is estimated using the unit that reflects the petrophysical properties, which reflects the physical properties of the rock and is of great significance for understanding the composition, structure of the rock and inferring its origin. The unit for evaluating the rock distribution is used to evaluate the distribution of the rock in a specific area. The rock distribution index YF is a comprehensive index, which combines multiple parameters such as the estimated value of the average rock density YM, the gray value, the thickness, the drilling depth, and the water content, and is obtained through a complex calculation process. The level of the rock distribution index YF can intuitively reflect the concentration / dispersion degree of the rock in the area, and thus provides important reference information. By comparing the rock distribution indices YF of different areas, it is possible to preferentially select areas where the rock distribution is more concentrated and favorable for exploration, thereby improving the exploration efficiency and success rate. Finally, the unit for comprehensively evaluating the rock properties is used to comprehensively evaluate the distribution and properties of the rock in a specific area. The calculated comprehensive rock evaluation value YZ is a more comprehensive and integrated index, which not only considers the rock distribution, but also combines information on the drilling depth, thickness, estimated value of the rock density YM, and water content of the rock. By calculating the comprehensive rock evaluation value YZ, it is possible to comprehensively understand the comprehensive characteristics of the rock in this area, providing more accurate guidance for subsequent exploration and mining work. At the same time, the comprehensive rock evaluation value YZ can also indirectly affect the parameter measurement and calculation in the unit that reflects the petrophysical properties and the unit for evaluating the rock distribution by influencing the exploration strategy and data collection, forming an interconnected and mutually influential system. This cyclic influence mechanism helps to continuously optimize the exploration process and improve the accuracy and reliability of the exploration results.

[0028] It should be noted that any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall also be within the protection scope of the present invention.

Claims

1. A method for collecting geological exploration data, including a data collection module, a data processing module, a result analysis module, and an exploration strategy formulation and implementation module. The data processing module includes a unit for reflecting rock physical properties, a unit for evaluating rock distribution, and a unit for comprehensively evaluating rock properties. It is characterized in that: The data collection module: is responsible for dividing the entire exploration area, and collecting basic exploration data such as the gray value, drilling depth, thickness, and water content of all rocks in each exploration area; The unit for reflecting rock physical properties: is responsible for receiving the basic exploration data, and calculating and outputting an estimated value YM of the average rock density based on the average value of each basic exploration data in the exploration area; The unit for evaluating rock distribution: is responsible for receiving the basic exploration data and the estimated value YM of the average rock density, and calculating and outputting a rock distribution index YF; The unit for comprehensively evaluating rock properties: is responsible for receiving the basic exploration data, the estimated value YM of the average rock density, and the rock distribution index YF, and calculating and outputting a comprehensive evaluation value YZ of the rock; The result analysis module: is responsible for receiving the comprehensive evaluation value YZ of the rocks in multiple exploration areas divided within the entire area, and arranging and analyzing them by size; The exploration strategy formulation and implementation module: is responsible for receiving the analysis results, and formulating and implementing exploration strategies.

2. The geological exploration data acquisition method according to claim 1, characterized in that: The calculation formula of the unit for reflecting rock physical properties is as follows: ； Where: YM is the estimated value of the average rock density; YH avg is the average gray value of the rock; KS avg is the average drilling depth of the rock; HD avg is the average thickness of the rock; HS avg is the average water content of the rock; The estimated value YM of the average rock density reflects the physical properties and spatial position information of the rock; A high YM value indicates that the rocks in the exploration area are hard and dense; A low YM value indicates that the rocks in the exploration area are loose and contain more pores; Both a and b are conversion coefficients.

3. The method for collecting geological exploration data according to claim 2, wherein: The average gray value YH of the rock avg The calculation formula is as follows: YH avg =(YH1 + YH2 + YH3 +...... + YH N ) / N; N is the total amount of rocks, and N reflects the total amount of rocks explored in the exploration area; YH1 is the gray value of the first rock, YH2 is the gray value of the second rock, YH3 is the gray value of the third rock, and YH N is the gray value of the Nth rock; The average drilling depth KS of the rock avg The calculation formula is as follows: KS avg =(KS1 + KS2 + KS3 +...... + KS N ) / N; KS1 is the depth of the first rock borehole, KS2 is the depth of the second rock borehole, KS3 is the depth of the third rock borehole, KS N is the depth of the third rock borehole; The average thickness HD of the rock avg The calculation formula is as follows: HD avg =(HD1 + HD2 + HD3 +...... + HD N ) / N; HD1 is the first rock thickness, HD2 is the second rock thickness, HD3 is the third rock thickness, and HD N is the Nth rock thickness; The average water content HS of the rock avg is calculated as follows: HS avg =(HS1 + HS2 + HS3 +...... + HS N ) / N; HS1 is the water content of the first rock, HS2 is the water content of the second rock, HS3 is the water content of the third rock, and HS N is the water content of the Nth rock.

4. A geological exploration data acquisition method according to claim 3, characterized in that: Before the data collection module inputs the collected basic exploration data to the unit for reflecting rock physical properties for reception and calculation, it is necessary to average the gray value, drilling depth, thickness, and water content of the rocks in the exploration area.

5. A method for collecting geological exploration data according to claim 3, characterized in that: The calculation formula of the unit for evaluating rock distribution is as follows: ； Where: YF is the rock distribution index; YH max is the maximum gray value of the rock, YH max reflects the degree of the maximum gray value within the exploration area, and specifically is the maximum value among YH1, YH2, YH3,......, YH N ; The square root calculation in it is to reduce the influence of the gray value difference on the result and make the contrast between different rocks in the exploration area tend to be smooth; The square root calculation in it is to reduce the direct influence of water content on the calculation of the rock distribution index YF; A high YF value indicates that the rocks are widely and evenly distributed in the exploration area; A low YF value indicates that the rocks are sparsely and irregularly distributed; Both c, d, and e are conversion coefficients.

6. A geological exploration data acquisition method according to claim 5, characterized in that: The calculation formula of the unit for comprehensively evaluating rock properties is as follows: ； Where: YZ is the comprehensive evaluation value of the rock; HS max is the maximum water content of the rock, HS max reflects the maximum degree of water content in the exploration area, and specifically is the maximum value of the water content of the rock in HS1, HS2, HS3,......, HS N ; A high YZ value indicates that the rocks in the exploration area have comprehensive characteristics of high density, uniform distribution, and appropriate water content; A low YZ value indicates poor comprehensive characteristics of the rocks; The square root is to reduce the influence of density difference on subsequent calculations; Reflect the ratio of the average water content level of the rocks in the exploration area to the maximum water content in the exploration area, thereby evaluating the degree to which the water content state of the rocks approaches / reaches the limit value of the exploration area; Both h, i, and j are conversion coefficients.

7. A geological exploration data acquisition method according to claim 6, characterized in that: After the result analysis module calculates and outputs the comprehensive evaluation value YZ of the rocks in all exploration areas of the entire exploration area, a comprehensive analysis is carried out. The specific analysis is as follows: First, arrange all the comprehensive evaluation values YZ of the rocks in the entire exploration area from large to small, that is, the front of the arrangement is high value, and the back of the arrangement is low value; Secondly, the comprehensive evaluation value YZ of the rocks in the position slightly ahead of the median reflects that the mining value and feasibility of the rocks in these exploration areas are high, and the mining and exploration of mineral resources should be prioritized; The comprehensive evaluation value YZ of the rocks in the position slightly behind the median reflects that the mining value and feasibility of the rocks in these exploration areas are low. The mining of this exploration area should be shelved, and the gray value, drilling depth, thickness, and water content of the rocks should be recollected and calculated.

8. A geological exploration data acquisition method according to claim 1, wherein The equipment used in the data acquisition module includes a ground penetrating radar, a drilling machine, a thickness measurement tool, and a water content measuring instrument; The data processing module includes data processing equipment; The result analysis module includes data integration and analysis equipment; The exploration strategy formulation and implementation module includes an excavator and a loader.

Images