Resource evaluation method and system based on SD reserve calculation method

Abstract

The invention relates to the field of resource assessment, and discloses a resource assessment method and system based on the SD reserve calculation method. By performing feature analysis on the collected mining area resource data, resource characteristic parameters that best meet the geological characteristics of the mining area are screened out. By analyzing the collected mining area environmental data, the environmental characteristic parameters are quantified. A structural geological variable model is established by using the screened resource characteristic parameters and the quantified environmental characteristic parameters. A mining area cross-section diagram is drawn according to the mining area geological exploration data, and the geometric shape of the ore body is deformed. The ore body reserves are calculated based on the mining area cross-section configuration. The resource quantity is evaluated by calculating the resource quantity assessment value based on the ore body reserves. This is conducive to more accurately identifying and quantifying the key factors affecting the reserves, accurately analyzing the characteristic parameters reflecting the complexity of the ore body shape and geological structure, thereby improving the accuracy of the reserve calculation and making the resource quantity evaluation result more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of resource assessment, and more specifically to a resource assessment method and system based on the SD reserve calculation method. Background Art

[0002] With the increasing shortage of mineral resources and the intensification of market competition, the accurate assessment of mineral reserves has become increasingly important. Traditional resource assessment methods mainly use geometric methods, but traditional geometric methods have problems such as poor reliability and large errors, and the error size cannot be estimated in advance, which may cause varying degrees of losses to subsequent work. Therefore, the SD reserve calculation method can more accurately assess the resource volume. Based on the SD method software system, geological variables are regarded as variables with both regularity and randomness. The weight method is used to establish structural geological variables. The spline function is used to fit the structural geological variable curve on the engineering coordinates or section coordinates. The integral method is used to calculate the reserves, so that the calculation process can be fully computerized, thereby realizing the scientific and automated calculation of mineral reserves.

[0003] However, the above process still has the following disadvantages:

[0004] First, the existing SD reserve calculation method may overly rely on data from exploration points for resource assessment, while ignoring geological structure and topographic information in a larger area of ​​the mining area, making it impossible to more accurately identify and quantify key factors affecting reserves;

[0005] Second, the existing SD reserve calculation method lacks effective extraction and analysis of resource characteristics and environmental characteristics, and cannot accurately reflect the complexity of ore body morphology and geological structure, which may lead to inaccurate reserve calculations. It also lacks the ability to dynamically evaluate resource quantities because it is not adapted to changes in geological conditions. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides a resource assessment method and system based on the SD reserve calculation method to solve the problems existing in the above-mentioned background technology.

[0007] The present invention provides the following technical solution: a resource assessment method based on the SD reserve calculation method, comprising:

[0008] S1: used to obtain the geological structure, topography and vegetation coverage of the mining area, so as to collect mining area resource data, and transmit the collected mining area resource data to S3;

[0009] S2: used to monitor the surface subsidence, vegetation destruction and soil erosion in the mining area in real time, so as to collect the mining area environmental data and transmit the collected mining area environmental data to S5;

[0010] S3: used to extract resource characteristic parameters, analyze the mining area resource data, calculate the matching degree of geological resource characteristics, and transmit the characteristic analysis results to S4;

[0011] S4: Perform data screening on resource characteristic parameters according to the characteristic analysis results, screen out the resource characteristic parameters that best match the geological characteristics of the mining area, and transmit the screened resource characteristic parameters to S6;

[0012] S5: By analyzing the mining area environmental data, the rock hardness characteristic value, the groundwater flow characteristic value and the pollutant concentration characteristic value are obtained, and the quantified environmental characteristic parameters are transmitted to S6;

[0013] S6: Establish a structural geological variable model by integrating the screened resource characteristic parameters and the quantified environmental characteristic parameters into a database;

[0014] S7: Draw a cross-section of the mining area based on the geological exploration data of the mining area, then map the structural geological variables onto the cross-section, and perform deformation processing on the geometric form of the ore body;

[0015] S8: Analyze and calculate the ore reserves based on the cross-section configuration of the mining area;

[0016] S9: Analyze the calculated ore reserves and calculate the resource assessment value, and evaluate the resource quantity based on the resource assessment value.

[0017] Preferably, the S1 determines the coverage, time, frequency and required image quality of remote sensing data by utilizing remote sensing monitoring technology, and then obtains high-resolution optical images and multispectral data of the mining area through the remote sensing platform, thereby collecting mining area resource data, and automatically transmits the collected mining area resource data to the computing terminal through the data interface, and then pre-processes the input mining area resource data, including data cleaning, data conversion, data standardization and data integration.

[0018] Preferably, S2 conducts real-time monitoring of surface subsidence, vegetation destruction and soil erosion by combining remote sensing monitoring technology with ground monitoring methods, and pre-processes the remote sensing monitoring data collected by the remote sensing monitoring technology and the ground monitoring data collected by the ground monitoring method, and then merges the pre-processed remote sensing monitoring data and the ground monitoring data, thereby collecting mining area environmental data.

[0019] Preferably, S3 continuously collects mining area resource data over a period of time, and analyzes the variation pattern of resource quantity in different time periods and different regions, and extracts resource characteristic parameters from the data, including grade, ore body thickness, ore body area and ore density;

[0020] The specific calculation formula for the geological resource characteristic matching degree is: Among them, σ i Indicates the standard deviation of the i-th resource characteristic parameter collected continuously, represents the average value of the i-th resource characteristic parameter collected continuously, α i Represents the weight coefficient of the i-th resource characteristic parameter.

[0021] Preferably, the S4 sets a feature matching threshold θ1 to set the geological resource feature matching degree R i Compared with the characteristic matching threshold θ1, if the geological resource characteristic matching degree R i ≥ characteristic matching threshold θ1, then the characteristic parameter is selected for reserve calculation. i <feature matching threshold θ1, the feature parameter is excluded.

[0022] Preferably, the S5 performs standardization processing on the collected mining area environmental data, and then specifically analyzes the processed mining area environmental data, and calculates the rock hardness index, groundwater flow index and pollutant concentration index;

[0023] The specific calculation formula of the rock hardness characteristic value is: Among them, H k represents the k-th rock hardness value in the mining area, represents the average density of all rocks in the mining area, and K represents the type of rock in the mining area;

[0024] The specific calculation formula of the groundwater flow characteristic value is: Among them, Q v represents the flow rate of the vth well in the mining area, L v represents the angle between the flow direction of the vth well in the mining area and the main flow direction, and A represents the area of ​​the mining area;

[0025] The specific calculation formula of the pollutant concentration characteristic value is: Among them, C p represents the concentration value of the pth pollutant in the mining area, S p It represents the distribution area of ​​the pth pollutant in the mining area, and P represents the type of pollutant in the mining area.

[0026] Preferably, the S7 collects geological exploration data of the mining area, including the location of the exploration line, drilling data and profile data, and then draws a cross-sectional view of the mining area using drawing software based on the exploration data, and verifies the drawn cross-sectional view, selects variables related to the cross-sectional view of the mining area from the structural geological variable model, including stratum thickness, ore body thickness and grade, maps the selected variables to the cross-sectional view of the mining area to form a variable distribution map, analyzes the deformation law and characteristics of the ore body according to the changes in the geological structure of the mining area and the ore body morphology, analyzes the comprehensive deformation index, deformation complexity index and ore body stability index, deforms the geometric morphology of the mining area, and uses deformation processing software to deform the geometric morphology of the ore body. The deformation processing process includes fitting the mine edge and the internal structure of the ore body using a spline function to obtain a continuous curve and a continuous structural geological variable curve.

[0027] Preferably, the S8 uses the fitted spline function to calculate the ore body reserves by integration method. x1 represents the starting point of the ore body in the selected direction, x2 represents the end point of the ore body in the selected direction, G(x) represents the grade of the ore body at position x, T(x) represents the thickness of the ore body at position x, and U(x) represents the cross-sectional area of ​​the ore body at position x.

[0028] Preferably, S9 analyzes the resource assessment value in the ore body through the calculated ore body reserves, and the specific calculation formula is Q=V×ω, wherein V represents the ore body reserves, ω represents the resource correction factor, and 0<ω<1.

[0029] To achieve the above object, the present invention provides the following technical solution: a resource assessment system based on the SD reserve calculation method, implementing the resource assessment method based on the SD reserve calculation method, comprising:

[0030] Remote sensing detection module: used to obtain the geological structure, topography and vegetation coverage of the mining area, so as to collect mining area resource data, and transmit the collected mining area resource data to the feature analysis module;

[0031] Environmental monitoring module: used to monitor the surface subsidence, vegetation destruction and soil erosion in the mining area in real time, so as to collect the mining area environmental data and transmit the collected mining area environmental data to the environmental data analysis module;

[0032] Feature analysis module: used to extract resource characteristic parameters, analyze mining area resource data, calculate the matching degree of geological resource characteristics, and transmit the feature analysis results to the data screening module;

[0033] Data screening module: perform data screening on resource characteristic parameters according to the characteristic analysis results, select the resource characteristic parameters that best match the geological characteristics of the mining area, and transmit the selected resource characteristic parameters to the structural geological variable establishment module;

[0034] Environmental data analysis module: by analyzing the mining area environmental data, the rock hardness characteristic value, groundwater flow characteristic value and pollutant concentration characteristic value are obtained, and the quantified environmental characteristic parameters are transmitted to the structural geological variable establishment module;

[0035] Structural geological variable establishment module: Establish a structural geological variable model by integrating the screened resource characteristic parameters and quantified environmental characteristic parameters into a database;

[0036] Mining area cross-section configuration module: Draw the mining area cross-section diagram based on the mining area geological exploration data, then map the structural geological variables to the cross-section diagram, and perform deformation processing on the geometric shape of the ore body;

[0037] Reserve calculation module: Analyze and calculate the ore body reserves based on the mining area section configuration;

[0038] Resource assessment module: Analyze the calculated ore reserves and calculate the resource assessment value, and evaluate the resource through the resource assessment value.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention collects resource data of mining areas and performs feature analysis on the collected resource data of mining areas, thereby screening out resource feature parameters that best meet the geological characteristics of the mining areas, and analyzes the collected environmental data of mining areas, thereby quantifying the environmental feature parameters, and integrating the screened resource feature parameters and the quantified environmental feature parameters into a database, establishing a structural geological variable model, drawing a mining area cross-section diagram according to the mining area geological exploration data, and then mapping the structural geological variables to the cross-section diagram, and performing deformation processing on the geometric form of the ore body, and then analyzing and calculating the ore body reserves based on the mining area cross-section configuration, and finally, performing ore body reserve analysis according to the ore body reserves. Analyze and calculate the resource assessment value, evaluate the resources through the resource assessment value, and provide a more comprehensive geological background by collecting more comprehensive resource data in the mining area, which is conducive to analyzing the geological structure and topographic information data in a larger range of the mining area, so as to more accurately identify and quantify the key factors affecting the reserves. Through the effective extraction and analysis of resource characteristics and environmental characteristics, it is conducive to accurately analyzing the characteristic parameters that reflect the complexity of the ore body morphology and geological structure, thereby improving the accuracy of reserve calculation, and helping to adapt to changes in geological conditions, increasing the dynamic assessment ability of resources, and making the resource assessment results more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a diagram of the method steps of the present invention;

[0042] Figure 2 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0043] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The resource assessment method and system based on the SD reserve calculation method involved in the present invention are not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0044] like Figure 1 This embodiment provides a resource assessment method based on the SD reserve calculation method, including:

[0045] S1: used to obtain the geological structure, topography and vegetation coverage of the mining area, so as to collect mining area resource data, and transmit the collected mining area resource data to S3.

[0046] In this embodiment, S1 determines the coverage, time, frequency and required image quality of remote sensing data by utilizing remote sensing monitoring technology, and then obtains high-resolution optical images and multi-spectral data of the mining area through the remote sensing platform, thereby collecting mining area resource data, and automatically transmits the collected mining area resource data to the computing terminal through the data interface, and then pre-processes the input mining area resource data, including data cleaning, data conversion, data standardization and data integration.

[0047] It should be specifically noted that remote sensing technology can provide large-scale, high-resolution surface information of mining areas and regularly obtain mining area data, which will help monitor changes in mining areas in real time, accurately identify geological structures, topography and vegetation coverage, and thus fully understand the surface characteristics of mining areas.

[0048] S2: Used to monitor the surface subsidence, vegetation destruction and soil erosion in the mining area in real time, so as to collect the mining area environmental data and transmit the collected mining area environmental data to S5.

[0049] In this embodiment, S2 conducts real-time monitoring of surface subsidence, vegetation destruction and soil erosion by combining remote sensing monitoring technology with ground monitoring methods, and pre-processes the remote sensing monitoring data collected by the remote sensing monitoring technology and the ground monitoring data collected by the ground monitoring method, and then integrates the pre-processed remote sensing monitoring data and the ground monitoring data to collect mining area environmental data.

[0050] S3: It is used to extract resource characteristic parameters, analyze the mining area resource data, calculate the matching degree of geological resource quantity characteristics, and transmit the characteristic analysis results to S4.

[0051] In this embodiment, S3 continuously collects mining area resource data over a period of time, analyzes the variation pattern of resource quantity in different time periods and different regions, and extracts resource characteristic parameters from the data, including grade, ore body thickness, ore body area and ore density;

[0052] The specific calculation formula for the geological resource characteristic matching degree is: Among them, σ i Indicates the standard deviation of the i-th resource characteristic parameter collected continuously, represents the average value of the i-th resource characteristic parameter collected continuously, α i Represents the weight coefficient of the i-th resource characteristic parameter.

[0053] It should be noted that the formula for calculating the standard deviation of the i-th resource characteristic parameter collected continuously is: x ij represents the i-th resource characteristic parameter value collected at the j-th collection time point, It represents the average value of the i-th resource characteristic parameter collected continuously, and m represents the number of time points for collecting data.

[0054] S4: Perform data screening on resource characteristic parameters according to the characteristic analysis results, screen out the resource characteristic parameters that best match the geological characteristics of the mining area, and transmit the screened resource characteristic parameters to S6.

[0055] In this embodiment, S4 sets a feature matching degree threshold θ1 to set the geological resource feature matching degree R i Compared with the characteristic matching threshold θ1, if the geological resource characteristic matching degree R i ≥ characteristic matching threshold θ1, then the characteristic parameter is selected for reserve calculation. i <feature matching threshold θ1, the feature parameter is excluded.

[0056] S5: By analyzing the mining area environmental data, the rock hardness characteristic value, groundwater flow characteristic value and pollutant concentration characteristic value are obtained, and the quantified environmental characteristic parameters are transmitted to S6.

[0057] In this embodiment, the S5 performs standardization processing on the collected mining area environmental data, and then specifically analyzes the processed mining area environmental data, and calculates the rock hardness index, groundwater flow index, and pollutant concentration index;

[0058] The specific calculation formula of the rock hardness characteristic value is: Among them, H k represents the k-th rock hardness value in the mining area, represents the average density of all rocks in the mining area, and K represents the type of rock in the mining area;

[0059] The specific calculation formula of the groundwater flow characteristic value is: Among them, Q v represents the flow rate of the vth well in the mining area, L v represents the angle between the flow direction of the vth well in the mining area and the main flow direction, and A represents the area of ​​the mining area;

[0060] The specific calculation formula of the pollutant concentration characteristic value is: Among them, C p represents the concentration value of the pth pollutant in the mining area, S p It represents the distribution area of ​​the pth pollutant in the mining area, and P represents the type of pollutant in the mining area.

[0061] S6: Establish a structural geological variable model by integrating the screened resource characteristic parameters and quantified environmental characteristic parameters into a database.

[0062] It should be specifically explained that by analyzing the correlation between the characteristic parameters, the structural geological variables are constructed according to the correlation analysis results, and then according to the geological principles and statistical methods, the model framework between the structural geological variables is established, thereby constructing the structural geological variable model, and further screening out the structural geological variables directly related to the drawing of the mining area cross-section map;

[0063] The specific steps for constructing the structural geological variable model include: integrating the screened resource characteristic parameters and quantified environmental characteristic parameters into a database for centralized management, and then performing correlation analysis and calculation on the resource characteristic parameters and the quantified environmental characteristic parameters through regression equations. Based on the results of the correlation analysis and calculation, characteristic parameters that have an important impact on reserve assessment are selected as the basis for constructing structural geological variables. The model framework between structural geological variables is established through the mathematical method of weighted summation, the structural geological variable model is constructed, and the established model is verified. Based on the verification results, the model is optimized and adjusted to improve the prediction ability of the model.

[0064] S7: Draw a cross-section of the mining area based on the geological exploration data of the mining area, then map the structural geological variables onto the cross-section, and perform deformation processing on the geometric shape of the ore body.

[0065] In this embodiment, the S7 collects geological exploration data of the mining area, including the location of the exploration line, drilling data and profile data, and then draws a cross-sectional view of the mining area using drawing software based on the exploration data, and verifies the drawn cross-sectional view, selects variables related to the cross-sectional view of the mining area from the structural geological variable model, including stratum thickness, ore body thickness and grade, maps the selected variables to the cross-sectional view of the mining area to form a variable distribution map, analyzes the deformation law and characteristics of the ore body according to the changes in the geological structure and ore body morphology of the mining area, analyzes the comprehensive deformation index, deformation complexity index and ore body stability index, deforms the geometric morphology of the mining area, and uses deformation processing software to deform the geometric morphology of the ore body. The deformation processing process includes fitting the mine edge and the internal structure of the ore body using a spline function to obtain a continuous curve and a continuous structural geological variable curve.

[0066] It should be specifically stated that, according to the deformation law and characteristics of the ore body, the mining area is divided into several research areas of equal area for analysis, and the divided research areas are numbered as 1, 2, 3…m, and the comprehensive deformation index, deformation complexity index and ore body stability index are calculated to deform the geometric morphology of the mining area;

[0067] The specific calculation formula for the comprehensive deformation index is: Among them, D j represents the area of ​​the jth research area divided in the mining area, f j represents the stress in the jth study area;

[0068] The specific calculation formula for the deformation complexity index is: γ j represents the stress ratio of the jth study area;

[0069] The specific calculation formula for the ore body stability index is: σ represents the standard deviation of the grade of the mining area, μ represents the average grade of the mining area, N represents the number of joints, l represents the length of the measuring line, Y represents the amount of fault slip, and M represents the length of the fold.

[0070] S8: Analyze and calculate the ore reserves based on the cross-sectional configuration of the mining area.

[0071] In this embodiment, S8 uses the fitted spline function to calculate the ore body reserves by integration method. x1 represents the starting point of the ore body in the selected direction, x2 represents the end point of the ore body in the selected direction, G(x) represents the grade of the ore body at position x, T(x) represents the thickness of the ore body at position x, and U(x) represents the cross-sectional area of ​​the ore body at position x.

[0072] S9: Analyze the calculated ore reserves and calculate the resource assessment value, and evaluate the resource quantity based on the resource assessment value.

[0073] In this embodiment, S9 analyzes the resource assessment value in the ore body through the calculated ore body reserves, and the specific calculation formula is Q=V×ω, wherein V represents the ore body reserves, ω represents the resource correction factor, and 0<ω<1.

[0074] like Figure 2 The embodiment shown provides an implementation system corresponding to the resource assessment method based on the SD reserve calculation method, including a remote sensing detection module, an environmental monitoring module, a feature analysis module, a data screening module, an environmental data analysis module, a structural geological variable establishment module, a mining area section configuration module, a reserve calculation module and a resource assessment module, wherein the remote sensing detection module is connected to the feature analysis module, the feature analysis module is connected to the data screening module, the data screening module is connected to the structural geological variable establishment module, the environmental monitoring module is connected to the environmental data analysis module, the environmental data analysis module is connected to the structural geological variable establishment module, the structural geological variable establishment module is connected to the mining area section configuration module, the mining area section configuration module is connected to the reserve calculation module, and the reserve calculation module is connected to the resource assessment module.

[0075] The remote sensing detection module is used to obtain the geological structure, topography and vegetation coverage of the mining area, so as to collect mining area resource data, and transmit the collected mining area resource data to the feature analysis module;

[0076] The environmental monitoring module is used to monitor the surface subsidence, vegetation destruction and soil erosion in the mining area in real time, thereby collecting mining area environmental data, and transmitting the collected mining area environmental data to the environmental data analysis module;

[0077] The feature analysis module is used to extract resource feature parameters, analyze the mining area resource data, calculate the matching degree of geological resource quantity characteristics, and transmit the feature analysis results to the data screening module;

[0078] The data screening module screens the resource characteristic parameters according to the characteristic analysis results, screens out the resource characteristic parameters that best match the geological characteristics of the mining area, and transmits the screened resource characteristic parameters to the structural geological variable establishment module;

[0079] The environmental data analysis module obtains rock hardness characteristic values, groundwater flow characteristic values ​​and pollutant concentration characteristic values ​​by analyzing the mining area environmental data, and transmits the quantified environmental characteristic parameters to the structural geological variable establishment module;

[0080] The structural geological variable establishment module establishes a structural geological variable model by integrating the screened resource characteristic parameters and the quantified environmental characteristic parameters into a database;

[0081] The mining area cross-section configuration module draws a mining area cross-section diagram based on the mining area geological exploration data, maps the structural geological variables onto the cross-section diagram, and performs deformation processing on the geometric form of the ore body;

[0082] The reserve calculation module calculates the ore body reserves based on the cross-sectional configuration analysis of the mining area;

[0083] The resource assessment module performs analysis based on the calculated ore body reserves, calculates a resource assessment value, and assesses the resource quantity through the resource assessment value.

[0084] It should be noted that in the present disclosure, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element limited by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0085] Although the embodiments disclosed in the present disclosure are as above, the above contents are only embodiments adopted for facilitating the understanding of the present disclosure and are not intended to limit the present disclosure. Any technician in the technical field to which the present disclosure belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present disclosure, but the scope of patent protection of the present disclosure shall still be subject to the scope defined in the attached claims.

Claims

1. The resource assessment method based on the SD reserve calculation method is characterized by: include: S1: used to obtain the geological structure, topography and vegetation coverage of the mining area, so as to collect mining area resource data, and transmit the collected mining area resource data to S3; S2: used to monitor the surface subsidence, vegetation destruction and soil erosion in the mining area in real time, so as to collect the mining area environmental data and transmit the collected mining area environmental data to S5; S3: used to extract resource characteristic parameters, analyze the mining area resource data, calculate the matching degree of geological resource characteristics, and transmit the characteristic analysis results to S4; S4: Perform data screening on resource characteristic parameters according to the characteristic analysis results, screen out the resource characteristic parameters that best match the geological characteristics of the mining area, and transmit the screened resource characteristic parameters to S6; S5: By analyzing the mining area environmental data, the rock hardness characteristic value, the groundwater flow characteristic value and the pollutant concentration characteristic value are obtained, and the quantified environmental characteristic parameters are transmitted to S6; S6: Establish a structural geological variable model by integrating the screened resource characteristic parameters and the quantified environmental characteristic parameters into a database; S7: Draw a cross-section of the mining area based on the geological exploration data of the mining area, then map the structural geological variables onto the cross-section, and perform deformation processing on the geometric form of the ore body; S8: Analyze and calculate the ore reserves based on the cross-section configuration of the mining area; S9: Analyze the calculated ore reserves and calculate the resource assessment value, and evaluate the resource quantity based on the resource assessment value.

2. The resource assessment method based on the SD reserve calculation method according to claim 1 is characterized in that: The S1 determines the coverage, time, frequency and required image quality of remote sensing data by using remote sensing monitoring technology, and then obtains high-resolution optical images and multi-spectral data of the mining area through the remote sensing platform, thereby collecting mining area resource data, and automatically transmits the collected mining area resource data to the computing terminal through the data interface, and then pre-processes the input mining area resource data, including data cleaning, data conversion, data standardization and data integration.

3. The resource assessment method based on the SD reserve calculation method according to claim 1, characterized in that: The S2 conducts real-time monitoring of surface subsidence, vegetation destruction and soil erosion by combining remote sensing monitoring technology with ground monitoring methods, and pre-processes the remote sensing monitoring data collected by remote sensing monitoring technology and the ground monitoring data collected by the ground monitoring method, and then merges the pre-processed remote sensing monitoring data and ground monitoring data to collect mining area environmental data.

4. The resource assessment method based on the SD reserve calculation method according to claim 1, characterized in that: The S3 continuously collects the mining area resource data within a period of time, and analyzes the variation pattern of resource quantity in different time periods and different regions, and extracts resource characteristic parameters from the data, including grade, ore body thickness, ore body area and ore density; The specific calculation formula for the geological resource characteristic matching degree is: Among them, σ i Indicates the standard deviation of the i-th resource characteristic parameter collected continuously, represents the average value of the i-th resource characteristic parameter collected continuously, α i Represents the weight coefficient of the i-th resource characteristic parameter.

5. The resource assessment method based on the SD reserve calculation method according to claim 1, characterized in that: S4 sets a feature matching threshold θ1 to set the geological resource feature matching degree R i Compared with the characteristic matching threshold θ1, if the geological resource characteristic matching degree R i ≥ characteristic matching threshold θ1, then the characteristic parameter is selected for reserve calculation. i <feature matching degree threshold θ1, the feature parameter is excluded.

6. The resource assessment method based on the SD reserve calculation method according to claim 1, characterized in that: The S5 performs standardization processing on the collected mining area environmental data, and then specifically analyzes the processed mining area environmental data, and calculates the rock hardness index, groundwater flow index and pollutant concentration index; The specific calculation formula of the rock hardness characteristic value is: Among them, H k represents the k-th rock hardness value in the mining area, represents the average density of all rocks in the mining area, and K represents the type of rock in the mining area; The specific calculation formula of the groundwater flow characteristic value is: Among them, Q v represents the flow rate of the vth well in the mining area, L v represents the angle between the flow direction of the vth well in the mining area and the main flow direction, and A represents the area of ​​the mining area; The specific calculation formula of the pollutant concentration characteristic value is: Among them, C p represents the concentration value of the pth pollutant in the mining area, S p It represents the distribution area of ​​the pth pollutant in the mining area, and P represents the type of pollutant in the mining area.

7. The resource assessment method based on the SD reserve calculation method according to claim 1, characterized in that: The S7 collects geological exploration data of the mining area, including the location of the exploration line, drilling data and profile data, and then draws a cross-section diagram of the mining area using drawing software based on the exploration data, and verifies the drawn cross-section diagram. By selecting variables related to the cross-section diagram of the mining area from the structural geological variable model, including stratum thickness, ore body thickness and grade, the selected variables are mapped to the cross-section diagram of the mining area to form a variable distribution diagram, and according to the changes in the geological structure of the mining area and the ore body morphology, the deformation law and characteristics of the ore body are analyzed, and the comprehensive deformation index, deformation complexity index and ore body stability index are analyzed, the geometric morphology of the mining area is deformed, and the geometric morphology of the ore body is deformed using deformation processing software. The deformation processing process includes fitting the mine edge and the internal structure of the ore body using a spline function to obtain a continuous curve and a continuous structural geological variable curve.

8. The resource assessment method based on the SD reserve calculation method according to claim 1, characterized in that: S8 uses the fitted spline function to calculate the ore body reserves by integration method x1 represents the starting point of the ore body in the selected direction, x2 represents the end point of the ore body in the selected direction, G(x) represents the grade of the ore body at position x, T(x) represents the thickness of the ore body at position x, and U(x) represents the cross-sectional area of ​​the ore body at position x.

9. The resource assessment method based on the SD reserve calculation method according to claim 1, characterized in that: The S9 analyzes the resource assessment value in the ore body through the calculated ore body reserves, and the specific calculation formula is Q=V×ω, wherein V represents the ore body reserves, ω represents the resource correction factor, and 0<ω<1.

10. A resource assessment system based on the SD reserve calculation method, implementing the resource assessment method based on the SD reserve calculation method as claimed in any one of claims 1 to 9, characterized in that: include: Remote sensing detection module: used to obtain the geological structure, topography and vegetation coverage of the mining area, so as to collect mining area resource data, and transmit the collected mining area resource data to the feature analysis module; Environmental monitoring module: used to monitor the surface subsidence, vegetation destruction and soil erosion in the mining area in real time, so as to collect the mining area environmental data and transmit the collected mining area environmental data to the environmental data analysis module; Feature analysis module: used to extract resource characteristic parameters, analyze mining area resource data, calculate the matching degree of geological resource characteristics, and transmit the feature analysis results to the data screening module; Data screening module: perform data screening on resource characteristic parameters according to the characteristic analysis results, select the resource characteristic parameters that best match the geological characteristics of the mining area, and transmit the selected resource characteristic parameters to the structural geological variable establishment module; Environmental data analysis module: by analyzing the mining area environmental data, the rock hardness characteristic value, groundwater flow characteristic value and pollutant concentration characteristic value are obtained, and the quantified environmental characteristic parameters are transmitted to the structural geological variable establishment module; Structural geological variable establishment module: Establish a structural geological variable model by integrating the screened resource characteristic parameters and quantified environmental characteristic parameters into a database; Mining area cross-section configuration module: Draw the mining area cross-section diagram based on the mining area geological exploration data, then map the structural geological variables to the cross-section diagram, and perform deformation processing on the geometric shape of the ore body; Reserve calculation module: Analyze and calculate the ore body reserves based on the mining area section configuration; Resource assessment module: Analyze the calculated ore reserves and calculate the resource assessment value, and evaluate the resource through the resource assessment value.

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