A method for collecting geological exploration data

Abstract

The present invention discloses a geological exploration data acquisition method, belonging to the field of geological exploration acquisition technology. The method includes a data acquisition module, a data processing module, a result analysis module, and an exploration strategy formulation and implementation module. The data acquisition module is responsible for exploring and acquiring basic exploration data for each exploration area. The rock physical property reflection unit is responsible for calculating and outputting a rock average density estimation value YM. The rock distribution assessment unit is responsible for calculating and outputting a rock distribution index YF. The comprehensive rock property assessment unit is responsible for calculating and outputting a rock comprehensive assessment value YZ. The result analysis module is responsible for receiving the rock comprehensive assessment values ​​YZ of multiple exploration areas divided within the entire area and arranging them for size analysis. The exploration strategy formulation and implementation module is responsible for receiving the analysis results and formulating and implementing the exploration strategy. The present invention thus forms a comprehensive assessment system to comprehensively reflect the distribution and properties of rocks and improve exploration efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the field of geological exploration and acquisition technology, and in particular to a geological exploration data acquisition method. Background Art

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

[0003] With the development of science and technology, especially the application of modern exploration equipment such as geological radar and drilling machines, geological exploration data acquisition methods have been greatly improved. However, existing data acquisition methods often only focus on single or multiple independent parameters and lack a comprehensive evaluation system to fully reflect the distribution and properties of rocks.

[0004] To overcome these shortcomings, we proposed a new method for collecting geological exploration data. This method is based on three interrelated and mutually influential algorithmic formulas for calculation and analysis. These three formulas are used to estimate the density, distribution, and comprehensive characteristics of rocks, respectively. They can more 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 the existing technology has the shortcomings of single parameter evaluation, low manual exploration efficiency and lack of iterative optimization mechanism. For this reason, we propose a geological exploration data acquisition method.

[0006] The technical solution is mainly: 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 rock physical property reflection unit, a rock distribution assessment unit, and a comprehensive rock property assessment unit, characterized by:

[0007] The exploration division and data collection module is responsible for dividing the entire exploration area into exploration areas and collecting basic exploration data such as grayscale value, drilling depth, thickness and water content of all rocks in each exploration area;

[0008] The rock physical property reflecting unit is responsible for receiving basic exploration data and calculating and outputting an estimated value YM of rock average density based on the average value of each basic exploration data in the exploration area;

[0009] The rock distribution assessment unit is responsible for receiving basic exploration data and the estimated value of rock average density YM, and calculating and outputting the rock distribution index YF;

[0010] The comprehensive rock property evaluation unit is responsible for receiving basic exploration data, rock average density estimation value YM and rock distribution index YF, and calculating and outputting rock comprehensive evaluation value YZ;

[0011] The result analysis module is responsible for receiving the comprehensive rock assessment values ​​YZ of multiple exploration areas divided within the entire area, and arranging the values ​​for analysis;

[0012] The exploration strategy formulation and implementation module is responsible for receiving analysis results, and formulating and implementing exploration strategies.

[0013] Preferably, the calculation formula reflecting the rock physical property unit is as follows:

[0014] ;

[0015] in:

[0016] YM is the estimated average density of rock;

[0017] YH avg is the average gray value of the rock;

[0018] KS avg is the average drilling depth of the rock;

[0019] HD avg is the average thickness of the rock;

[0020] HS avg is the average water content of rock;

[0021] The estimated value of rock mean density YM reflects the physical properties and spatial location information of the rock;

[0022] A high YM value indicates that the rock in the exploration area is hard and compact;

[0023] A low YM value indicates that the rock in the exploration area is loose and contains more pores;

[0024] a and b are conversion factors.

[0025] Preferably, the rock average gray value YH avg The calculation formula is as follows:

[0026] YH avg =(YH1+YH2+YH3+......+YH N ) / N;

[0027] N is the total amount of rock, which reflects the total amount of rock explored in the exploration area;

[0028] YH1 is the first rock gray value, YH2 is the second rock gray value, YH3 is the third rock gray value, YH N is the gray value of the Nth rock;

[0029] The average drilling depth of the rock KS avg The calculation formula is as follows:

[0030] KS avg =(KS1+KS2+KS3+......+KS N ) / N;

[0031] KS1 is the first rock drilling depth, KS2 is the second rock drilling depth, KS3 is the third rock drilling depth, KS N Drill depth for the third rock;

[0032] The average rock thickness HD avg The calculation formula is as follows:

[0033] HD avg =(HD1+HD2+HD3+......+HD N ) / N;

[0034] HD1 is the first rock thickness, HD2 is the second rock thickness, HD3 is the third rock thickness, HD N is the Nth rock thickness;

[0035] The average water content of the rock HS avg The calculation formula is as follows:

[0036] HS avg =(HS1+HS2+HS3+......+HS N ) / N;

[0037] HS1 is the first rock water content, HS2 is the second rock water content, HS3 is the third rock water content, HS N is the water content of the Nth rock.

[0038] Preferably, before the data acquisition module inputs the collected basic exploration data into the unit reflecting rock physical properties for reception and calculation, it is necessary to average the gray value, drilling depth, thickness and water content of the rock in the exploration area.

[0039] Preferably, the calculation formula of the rock distribution evaluation unit is as follows:

[0040] ;

[0041] in:

[0042] YF is the rock distribution index;

[0043] YH max is the maximum gray value of the rock, YH max Reflects the maximum gray value in the exploration area, and is specifically YH1+YH2+YH3+......+YH N The maximum value in ;

[0044] The square root calculation in is to reduce the influence of gray value difference on the results and make the contrast between different rocks in the exploration area smoother;

[0045] The square root calculation in is the direct effect of reducing water content on the calculation of rock distribution index YF;

[0046] A high YF value indicates that the rocks are widely and evenly distributed in the exploration area;

[0047] A low YF value indicates that the rock distribution is sparse and irregular;

[0048] c, d and e are conversion factors.

[0049] Preferably, the calculation formula for the comprehensive evaluation unit of rock properties is as follows:

[0050] ;

[0051] in:

[0052] YZ is the comprehensive assessment value of rock;

[0053] HS max is the maximum water content of rock, HS max Reflects the maximum water content in the exploration area, and is specifically HS1+HS2+HS3+......+HS N The maximum value in ;

[0054] A high YZ value indicates that the rock in the exploration area has the comprehensive characteristics of high density, uniform distribution, and appropriate water content;

[0055] A low YZ value indicates poor overall rock properties;

[0056] The square root in is to reduce the impact of density differences on subsequent calculations;

[0057] Reflects the ratio of the average water content of the rocks in the exploration area to the maximum water content in the exploration area, thereby assessing the extent to which the water content of the rocks approaches / reaches the limit value of the exploration area;

[0058] h, i and j are conversion coefficients.

[0059] Preferably, the result analysis module performs a comprehensive analysis after calculating and outputting the rock comprehensive assessment value YZ of all exploration areas in the entire exploration area. The specific analysis is as follows:

[0060] First, all the comprehensive rock assessment values ​​YZ in the entire exploration area are arranged from large to small, that is, the values ​​at the front of the arrangement are high and the values ​​at the back of the arrangement are low;

[0061] Secondly, the comprehensive evaluation value YZ of rocks that are in the front of the median value reflects that the mining value and feasibility of the rocks in these exploration areas are high, and they should be given priority for mining and exploration of mineral resources;

[0062] The comprehensive rock evaluation value YZ that is behind the median value reflects that the mining value and feasibility of the rocks in these exploration areas are low. The mining of the exploration area should be shelved, and the gray value, drilling depth, thickness and water content of the rock should be re-collected and calculated.

[0063] Preferably, the equipment used in the data acquisition module includes geological radar, drilling machine, thickness measuring tool, and water content measuring instrument;

[0064] The equipment used by the data processing module includes data processing equipment;

[0065] The equipment used in the result analysis module includes data integration and analysis equipment;

[0066] The equipment used in the exploration strategy formulation and implementation module includes excavators and loaders.

[0067] Technical effects and advantages of the present invention:

[0068] In the present invention, by introducing three interrelated and mutually influential algorithm formulas for calculation and analysis, a comprehensive evaluation system is formed to comprehensively reflect the distribution and properties of rocks, which greatly improves the accuracy and comprehensiveness of the evaluation results. At the same time, through the calculation and analysis of the algorithm formula, the accuracy of exploration can be further improved, making the exploration results more objective and scientific.

[0069] In the present invention, by observing the comprehensive rock assessment value YZ of each area in the entire area and combining it with the rock distribution index YF to formulate a collection method for exploration and mining routes, a circular influence mechanism can be formed. This mechanism enables the method to be iteratively optimized according to 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 collection method to continuously adapt to new geological conditions and resource distribution situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 A flow chart of the method for collecting geological exploration data;

[0071] Figure 2 This is a schematic diagram of the overall structure of this geological exploration data acquisition method;

[0072] Figure 3 Schematic diagram of the structure of the data processing module in the present invention;

[0073] Figure 4 Schematic diagram of the process of averaging processing in the present invention. DETAILED DESCRIPTION

[0074] The present invention will now be described in further detail with reference to the accompanying drawings and preferred embodiments.

[0075] Reference Figure 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 rock physical property reflection unit, a rock distribution assessment unit, and a rock property comprehensive assessment unit, characterized in that:

[0076] Exploration division and data collection module: responsible for dividing the entire exploration area into exploration areas and collecting basic exploration data such as grayscale value, drilling depth, thickness, and water content of all rocks in each exploration area;

[0077] Rock physical property reflection unit: responsible for receiving basic exploration data and calculating and outputting the estimated value YM of rock average density based on the average value of each basic exploration data in the exploration area;

[0078] Rock distribution assessment unit: responsible for receiving basic exploration data and rock average density estimation value YM, and calculating and outputting rock distribution index YF;

[0079] Comprehensive rock property assessment unit: responsible for receiving basic exploration data, rock average density estimation value YM and rock distribution index YF, and calculating and outputting rock comprehensive assessment value YZ;

[0080] Result analysis module: responsible for receiving the comprehensive rock assessment values ​​YZ of multiple exploration areas divided within the entire area, and arranging the sizes for analysis;

[0081] Exploration strategy formulation and implementation module: responsible for receiving analysis results, formulating and implementing exploration strategies;

[0082] The equipment used in the data acquisition module includes geological radar, drilling machine, thickness measurement tool, and moisture content meter;

[0083] The equipment used by the data processing module includes data processing equipment;

[0084] The equipment used in the result analysis module includes data integration and analysis equipment;

[0085] The equipment used in the exploration strategy formulation and implementation module includes excavators and loaders.

[0086] 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 and exploration strategies.

[0087] Reference Figure 1-4 As shown, in this embodiment: the calculation formula reflecting the rock physical property unit is as follows:

[0088] ;

[0089] in:

[0090] YM is the estimated average density of rock;

[0091] YH avg is the average gray value of the rock;

[0092] KS avg is the average drilling depth of the rock;

[0093] HD avg is the average thickness of the rock;

[0094] HS avg is the average water content of rock;

[0095] The estimated value of rock mean density YM reflects the physical properties and spatial location information of the rock;

[0096] A high YM value indicates that the rock in the exploration area is hard and compact;

[0097] A low YM value indicates that the rock in the exploration area is loose and contains more pores;

[0098] a and b are conversion factors.

[0099] 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 of the rock and the spatial position. The average gray value of the rock YH avgIt reflects the rock's ability to reflect electromagnetic waves. Its size is closely related to the composition and structure of the rock. Rooting it can reduce the difference between gray values, making the contrast between different rocks smoother, while retaining the rock's average gray value YH avg The main trend of change is multiplied by the average rock drilling depth KS avg , which can combine the physical properties of the rock with its position in space, thus obtaining a composite index that takes into account both the rock properties and its spatial position. This calculation part is used as the numerator and the denominator. Divide them to get the estimated value of rock average density YM. This calculation process takes into account the physical properties, spatial position, thickness and water content of the rock, and provides a basis for the subsequent calculation of rock distribution index YF and rock comprehensive evaluation value YZ;

[0100] As the denominator after conversion, it is consistent with the molecular weight calculation and aims to combine the thickness of the rock with the water content to reflect the volume characteristics of the rock and the influence of the water content on the density estimation. Among them, the average rock thickness HD avg It is an important indicator of its volume characteristics, and the average water content of rock HS avg It reflects the water content inside the rock. The average thickness of the rock HD avg and the average water content of rock HS avg Adding together the volume and water content of the rock can comprehensively consider the effects of the rock volume and water content on density, and As the denominator, divided by the numerator, we get the estimated value of the average density of the rock, YM, thereby improving the accuracy and comprehensiveness of the density estimation;

[0101] In this algorithm unit, the average gray value of rock YH avg It reflects the physical properties of rocks and is an important basis for evaluating rock types, composition and genesis. Combined with the depth and thickness of the borehole, it can more accurately understand the distribution and morphology of rocks in underground space. The average water content of rocks, HS avg It reveals the water content of the rock, which has an important impact on the physical and mechanical properties of the rock. Combining these parameters can fully reflect the density characteristics of the rock and improve data accuracy.

[0102] The accurate rock density estimation value YM of this algorithm helps exploration to gain a deeper understanding of the distribution and properties of underground rocks, thereby formulating a more reasonable exploration strategy. The rock density estimation value YM is the basis for subsequent formula calculations. The accuracy of the rock density estimation value YM directly affects the calculation results of the rock distribution index YF and the rock comprehensive evaluation value YZ. Therefore, improving the accuracy of the rock density estimation value YM is crucial to the reliability of the entire evaluation system.

[0103] Reference Figure 1-4 As shown, in this embodiment: the average gray value of the rock YH avg The calculation formula is as follows:

[0104] YH avg =(YH1+YH2+YH3+......+YH N ) / N;

[0105] N is the total amount of rock, which reflects the total amount of rock explored in the exploration area;

[0106] YH1 is the first rock gray value, YH2 is the second rock gray value, YH3 is the third rock gray value, YH N is the gray value of the Nth rock;

[0107] Average rock drilling depth KS avg The calculation formula is as follows:

[0108] KS avg =(KS1+KS2+KS3+......+KS N ) / N;

[0109] KS1 is the first rock drilling depth, KS2 is the second rock drilling depth, KS3 is the third rock drilling depth, KS N Drill depth for the third rock;

[0110] Average rock thickness HD avg The calculation formula is as follows:

[0111] HD avg =(HD1+HD2+HD3+......+HD N ) / N;

[0112] HD1 is the first rock thickness, HD2 is the second rock thickness, HD3 is the third rock thickness, HD N is the Nth rock thickness;

[0113] Average rock water content HS avg The calculation formula is as follows:

[0114] HS avg =(HS1+HS2+HS3+......+HS N ) / N;

[0115] HS1 is the first rock water content, HS2 is the second rock water content, HS3 is the third rock water content, HS N is the water content of the Nth rock;

[0116] Before the data acquisition module inputs the collected basic exploration data into the rock physical properties unit for reception and calculation, it needs to average the gray value, drilling depth, thickness, and water content of the rock in the exploration area;

[0117] Averaging can reduce the impact of data anomalies and errors at a single measurement point. In geological exploration, due to the complexity of geological conditions and the uncertainty of measurement equipment, the data of a single measurement point may have certain errors or deviations. By averaging the data of multiple measurement points, these outliers can be smoothed out, resulting in more accurate and reliable average data, which helps improve the accuracy of subsequent density estimation, distribution assessment, and comprehensive assessment.

[0118] Averaging 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 a single measurement point can 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, thereby better understanding the rock conditions of the entire area.

[0119] Averaging can simplify the data processing process and improve evaluation efficiency. In geological exploration, a large amount of measurement data needs to be processed and analyzed. If the data of each measurement point 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 to the processing and analysis of average data, thereby improving evaluation efficiency.

[0120] Averaging also provides reliable basic data for subsequent analysis and evaluation. In geological exploration, density estimation, distribution assessment, and comprehensive evaluation are required based on the grayscale value, thickness, and water content of the rock. The accuracy and representativeness of average data, as the basic data for these evaluations, directly affect the accuracy and reliability of the evaluation results. Therefore, averaging plays an important supporting role in subsequent analysis and evaluation.

[0121] In summary, averaging has a significant beneficial effect on the processing of rock grayscale 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 averaging method should be fully utilized to perform reasonable averaging on the measurement data to improve the accuracy and reliability of the exploration results.

[0122] Reference Figure 1-4 As shown in the embodiment, the calculation formula of the rock distribution evaluation unit is as follows:

[0123] ;

[0124] in:

[0125] YF is the rock distribution index;

[0126] YH max is the maximum gray value of the rock, YH max Reflects the maximum gray value in the exploration area, and is specifically YH1+YH2+YH3+......+YH N The maximum value in ;

[0127] The square root calculation in is to reduce the influence of gray value difference on the results and make the contrast between different rocks in the exploration area smoother;

[0128] The square root calculation in is the direct effect of reducing water content on the calculation of rock distribution index YF;

[0129] A high YF value indicates that the rocks are widely and evenly distributed in the exploration area;

[0130] A low YF value indicates that the rock distribution is sparse and irregular;

[0131] c, d and e are conversion factors.

[0132] This algorithm unit This calculation part aims to combine the estimated average rock density YM with the ratio of the rock gray value to the maximum value to reflect the distribution of rocks in the region. The estimated rock density YM reflects the physical properties and spatial location information of the rock, while It reflects the ratio of the average grayscale value of the rock to the regional maximum value. Multiplying the two can comprehensively consider the influence of the rock's physical properties, spatial position and grayscale value ratio on the distribution.

[0133] In the calculation part, the average water content of rock HS avg The root opening treatment may be carried out to reduce the direct impact of water content on the calculation of rock distribution index YF, so that when the water content changes in a smaller range, the impact on the rock density estimation value YMI is smoother. Among them, the average rock drilling depth KS avg It reflects the vertical position of the rock in space and the average drilling depth of the rock KS avg and the average water content of rock HS avgThe purpose of adding them together is to comprehensively consider the influence of rock depth and water content on distribution. Such a combination may help to 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. avg As a divisor, it is to combine the distribution of rocks with their volume characteristics, so as to obtain a composite index that takes both the rock distribution and its volume characteristics into account. Such processing helps to more comprehensively evaluate the distribution of rocks in the region.

[0134] In this algorithm unit, the rock distribution index YF can intuitively reflect the distribution of rocks in the region, thus providing an important visualization tool. Through the distribution map of the rock distribution index YF, we can clearly see the concentrated distribution areas and dispersed distribution areas of rocks, which helps to determine the key areas for exploration;

[0135] By comparing the rock distribution index YF of different areas, we can prioritize exploration in areas with more concentrated and favorable rock distribution, which can not only improve exploration efficiency, but also reduce exploration costs and improve economic benefits.

[0136] The rock distribution index YF is one of the important inputs for the calculation of the comprehensive rock property evaluation unit. 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 to the accuracy and reliability of the entire evaluation system.

[0137] Reference Figure 1-4 As shown, in this embodiment: the calculation formula for the comprehensive evaluation of rock property unit is as follows:

[0138] ;

[0139] in:

[0140] YZ is the comprehensive assessment value of rock;

[0141] HS max is the maximum water content of rock, HS max Reflects the maximum water content in the exploration area, and is specifically HS1+HS2+HS3+......+HS N The maximum value in ;

[0142] A high YZ value indicates that the rock in the exploration area has the comprehensive characteristics of high density, uniform distribution, and appropriate water content;

[0143] A low YZ value indicates poor overall rock properties;

[0144] The square root in is to reduce the impact of density differences on subsequent calculations;

[0145] Reflects the ratio of the average water content of the rocks in the exploration area to the maximum water content in the exploration area, thereby assessing the extent to which the water content of the rocks approaches / reaches the limit value of the exploration area;

[0146] h, i, and j are conversion coefficients;

[0147] This algorithm unit This calculation part aims to combine the rock distribution index YF with the root value of the drilling depth to reflect the comprehensive evaluation of the rock in the area. The rock density estimate YMI comprehensively reflects the influence of the rock's physical properties, spatial position, gray value ratio, thickness, and water content on the distribution. The rock density estimate YMI is combined with the average drilling depth KS of the rock. avg Multiplying the root value of can further consider the influence of the rock's position in space on its comprehensive evaluation;

[0148] The rooting of the estimated rock density YM is performed to reduce the impact of density differences on subsequent calculations, making the comparison of rocks of different densities more fair. avg The division by the estimated rock density YM under the square root sign is to combine the thickness of the rock with the square root of its density, thus obtaining a composite index that takes into account both the volume of the rock and its density;

[0149] also, The calculation part reflects the ratio of the average water content of the rock to the maximum water content of the region, and compares it with The multiplication may be to comprehensively consider the influence of rock thickness, density and water content on the comprehensive rock evaluation value YZ. Such processing helps to identify rock areas with certain thickness and density as well as appropriate water content.

[0150] In this algorithm unit, the comprehensive rock assessment value YZ takes into account the density, distribution, and multiple physical properties of the rock, thereby providing a more comprehensive and accurate rock assessment result. Through the comprehensive rock assessment value YZ, we can fully understand the nature and characteristics of the rock, providing a scientific basis for subsequent exploration and mining work;

[0151] By comparing the comprehensive rock assessment values ​​YZ of different areas, we can give priority to mining and exploration in areas with higher comprehensive assessment values. This can not only improve resource utilization, but also reduce mining costs and improve economic benefits. At the same time, according to the distribution of the comprehensive rock assessment value YZ, we can formulate more reasonable mining plans and routes to ensure the smooth progress of mining work.

[0152] The comprehensive rock assessment value YZ not only reflects the situation in the current exploration area, but also indirectly affects the measurement and calculation of parameters in the rock physical property unit by influencing subsequent exploration strategies and data acquisition. This cyclical influence mechanism helps to continuously optimize the exploration process and improve exploration efficiency and accuracy. At the same time, through continuous data feedback and iterative optimization, the assessment system can be continuously improved and enhanced, thereby improving the reliability and practicality of the entire system.

[0153] Reference Figure 1-4 As shown, in this embodiment: after the result analysis module calculates and outputs the rock comprehensive evaluation value YZ of all exploration areas in the entire exploration area, it performs a comprehensive analysis. The specific analysis is as follows:

[0154] First, all the comprehensive rock assessment values ​​YZ in the entire exploration area are arranged from large to small, that is, the values ​​at the front of the arrangement are high and the values ​​at the back of the arrangement are low;

[0155] Secondly, the comprehensive evaluation value YZ of rocks that are in the front of the median value reflects that the mining value and feasibility of the rocks in these exploration areas are high, and they should be given priority for mining and exploration of mineral resources;

[0156] The rock comprehensive evaluation value YZ that is behind the median value indicates that the mining value and feasibility of the rocks in these exploration areas are low. The mining of these exploration areas should be shelved, and the gray value, drilling depth, thickness, and water content of the rocks should be re-collected and calculated.

[0157] The comprehensive rock assessment value YZ comprehensively considers the density, distribution, and multiple physical properties of the rock, thereby providing a more comprehensive and accurate rock assessment result. Through the comprehensive rock assessment value YZ, we can fully understand the nature and characteristics of the rock, providing a scientific basis for subsequent exploration and mining work. By comparing the comprehensive rock assessment values ​​YZ of different regions, we can give priority to areas with higher comprehensive assessment values ​​for mining exploration. This can not only improve resource utilization, but also reduce mining costs and improve economic benefits. At the same time, based on the distribution of the comprehensive rock assessment value YZ, we can formulate more reasonable mining plans and routes to ensure the smooth progress of mining work.

[0158] The comprehensive rock assessment value YZ not only reflects the situation in the current exploration area, but also indirectly affects the parameters in the unit reflecting the rock physical properties by influencing subsequent exploration strategies and data acquisition. This cyclic influence mechanism helps to continuously optimize the exploration process and improve exploration efficiency and accuracy.

[0159] To better understand the present invention, the following describes the implementation process of the specific method: First, the entire area is divided into several smaller sub-areas. This division is based on multiple factors such as geological structure, topography, and known mineral resource distribution. Each sub-area is regarded as an independent evaluation unit to facilitate more accurate and detailed data collection and analysis.

[0160] In each sub-area, the density of the rock is estimated using the unit reflecting the physical properties of the rock. It reflects the physical properties of the rock and is of great significance for understanding the composition, structure and inferring its genesis of the rock. The rock distribution unit is used to evaluate the distribution of the rock in a specific area. The rock distribution index YF is a comprehensive indicator that combines the average density estimate of the rock YM, gray value, thickness, drilling depth and water content. It is obtained through a complex calculation process. The high or low rock distribution index YF can intuitively reflect the concentration / dispersion degree of the rock in the area, thereby providing important reference information. By comparing the rock distribution index YF of different areas, it is possible to give priority to the exploration of areas with more concentrated and favorable rock distribution, thereby improving the exploration efficiency and success rate. Finally, using the comprehensive evaluation The rock property unit comprehensively evaluates the distribution and properties of rocks in a specific area. The calculated rock comprehensive evaluation value YZ is a more comprehensive and integrated indicator. It not only takes into account the distribution of rocks, but also combines the drilling depth, thickness, rock density estimate YM and water content of the rocks. By calculating the rock comprehensive evaluation value YZ, we can fully understand the comprehensive characteristics of rocks in the area and provide more accurate guidance for subsequent exploration and mining work. At the same time, the rock comprehensive evaluation value YZ can also indirectly affect the parameter measurement and calculation in the unit reflecting the rock physical properties and the unit evaluating the rock distribution by affecting 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.

[0161] It should be noted that any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present invention should also be within the scope of protection of the present invention.

Claims

1. A geological exploration data acquisition method, comprising a data acquisition module, a data processing module, a result analysis module, and an exploration strategy formulation and implementation module. The data processing module comprises a rock physical property reflection unit, a rock distribution assessment unit, and a rock property comprehensive assessment unit, characterized in that: The data acquisition module is responsible for dividing the entire exploration area into exploration areas and collecting basic exploration data such as grayscale value, drilling depth, thickness and water content of all rocks in each exploration area; The rock physical property reflecting unit is responsible for receiving basic exploration data and calculating and outputting an estimated value YM of rock average density based on the average value of each basic exploration data in the exploration area; The rock distribution assessment unit is responsible for receiving basic exploration data and the estimated value of rock average density YM, and calculating and outputting the rock distribution index YF; The comprehensive rock property evaluation unit is responsible for receiving basic exploration data, rock average density estimation value YM and rock distribution index YF, and calculating and outputting rock comprehensive evaluation value YZ; The result analysis module is responsible for receiving the comprehensive rock assessment values ​​YZ of multiple exploration areas divided within the entire area, and arranging the values ​​for analysis; The exploration strategy formulation and implementation module is responsible for receiving analysis results, and formulating and implementing exploration strategies; The calculation formula for the rock physical property unit is as follows: ； in: YM is the estimated average density of rock; 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 rock; The estimated value of rock mean 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 compact; A low YM value indicates that the rock in the exploration area is loose and contains more pores; a and b are conversion factors.

2. A geological exploration data acquisition method according to claim 1, characterized in that: The average gray value of the rock YH avg The calculation formula is as follows: YH avg =(YH1+YH2+YH3+......+YH N ) / N; N is the total amount of rock, which reflects the total amount of rock explored in the exploration area; YH1 is the first rock gray value, YH2 is the second rock gray value, YH3 is the third rock gray value, YH N is the gray value of the Nth rock; The average drilling depth of the rock KS avg The calculation formula is as follows: KS avg =(KS1+KS2+KS3+......+KS N ) / N; KS1 is the first rock drilling depth, KS2 is the second rock drilling depth, KS3 is the third rock drilling depth, KS N Drill depth for the third rock; The average rock thickness HD 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, HD N is the Nth rock thickness; The average water content of the rock HS avg The calculation formula is as follows: HS avg =(HS1+HS2+HS3+......+HS N ) / N; HS1 is the first rock water content, HS2 is the second rock water content, HS3 is the third rock water content, HS N is the water content of the Nth rock.

3. A geological exploration data acquisition method according to claim 2, characterized in that: Before the data acquisition module inputs the collected basic exploration data into the rock physical property reflecting unit for reception and calculation, it is necessary to average the gray value, drilling depth, thickness and water content of the rock in the exploration area.

4. A geological exploration data acquisition method according to claim 2, characterized in that: The calculation formula for the rock distribution evaluation unit is as follows: ； in: YF is the rock distribution index; YH max is the maximum gray value of the rock, YH max Reflects the maximum gray value in the exploration area, and is specifically YH1, YH2, YH3, ..., YH N The maximum value in ; The square root calculation in is to reduce the influence of gray value difference on the results and make the contrast between different rocks in the exploration area smoother; The square root calculation in is the direct effect of reducing water content on the calculation of 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 rock distribution is sparse and irregular; c, d and e are conversion factors.

5. A geological exploration data acquisition method according to claim 4, characterized in that: The calculation formula for the comprehensive evaluation rock property unit is as follows: ； in: YZ is the comprehensive assessment value of rock; HS max is the maximum water content of rock, HS max Reflects the maximum water content in the exploration area, and is specifically HS1, HS2, HS3, ..., HS N The maximum value of water content in the rock; A high YZ value indicates that the rock in the exploration area has the comprehensive characteristics of high density, uniform distribution, and appropriate water content; A low YZ value indicates poor overall rock properties; The square root in is to reduce the impact of density differences on subsequent calculations; Reflects the ratio of the average water content of the rocks in the exploration area to the maximum water content in the exploration area, thereby assessing the extent to which the water content of the rocks approaches / reaches the limit value of the exploration area; h, i and j are conversion coefficients.

6. A geological exploration data acquisition method according to claim 5, characterized in that: After calculating and outputting the rock comprehensive assessment value YZ of all exploration areas in the entire exploration area, the result analysis module performs a comprehensive analysis. The specific analysis is as follows: First, arrange the comprehensive rock assessment values ​​YZ of the entire exploration area from large to small, that is, the values ​​at the front of the arrangement are high and the values ​​at the back of the arrangement are low. Secondly, the comprehensive rock assessment value YZ that is in the front of the median value 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 given priority; The comprehensive rock evaluation value YZ that is behind the median value reflects that the mining value and feasibility of the rocks in these exploration areas are low. The mining of the exploration area should be shelved, and the gray value, drilling depth, thickness and water content of the rock should be re-collected and calculated.

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

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