A mining management system for smart mines

Abstract

The present invention belongs to the field of mining management, and specifically discloses a mining management system for a smart mine, comprising: a three-dimensional geological model construction module responsible for collecting geological exploration data of each drilling monitoring point of the mine to construct a three-dimensional geological model of the mine, a mineral quality evaluation module identifying the mining area according to the three-dimensional geological model, screening the corresponding drilling monitoring points, and analyzing the mineral quality evaluation coefficient, so as to select the monitoring points that meet the requirements, a mining difficulty analysis module collecting the number of faults, folds and rock layer inclination angles that meet the monitoring points, analyzing the mining difficulty, and then determining the mining points of each mining area, and a safety factor analysis module collecting the internal stress and groundwater level of the mining points of each mining area at the set monitoring time point, analyzing the safety factor, judging whether the mine is safe and issuing an early warning, thereby providing strong support for the scientific, safe and efficient mining of the mine, and improving the mine management efficiency and operation safety.

Description

Technical Field

[0001] The invention belongs to the field of mining management and relates to a mining management system for a smart mine. Background Art

[0002] With the increasing depletion of global mineral resources and the continuous decline in ore grades, traditional mining methods are facing many challenges such as low production efficiency, high safety risks, and serious waste of resources. In order to improve the efficiency and safety of mining, reduce operating costs, and promote the sustainable development of the mining industry, the construction of smart mines has gradually become an important trend in the mining field.

[0003] Although the existing mining management system of smart mines meets certain requirements, it still has limitations. Specifically: 1. Existing technologies rely on traditional two-dimensional geological maps or plane drawings to plan mines, which is not conducive to engineers designing reasonable and efficient mining plans, and increases the uncertainty and risk in the mining process.

[0004] 2. The existing technology fails to combine the quality of the mineral and the difficulty of mining when selecting the collection site of the mineral. Therefore, a collection point with high quality of the mineral but extremely high mining cost may be selected. This will lead to a large amount of manpower, material and financial resources being invested in the mining process, but no economic benefits can be obtained that match it. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a mining management system for a smart mine is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a mining management system for a smart mine, including: a three-dimensional geological model construction module: used to collect geological exploration data from various drilling monitoring points in the mine to construct a three-dimensional geological model of the mine, wherein the geological exploration data include rock type, rock structure, ore body distribution status and structural characteristics.

[0007] Mineral quality evaluation module: used to identify the mining areas of the mine according to the three-dimensional geological model of the mine, screen the drilling monitoring points corresponding to the mining areas of the mine, analyze the mineral quality evaluation coefficients of the drilling monitoring points corresponding to the mining areas of the mine, and then screen out the qualified monitoring points corresponding to the mining areas of the mine.

[0008] Mining difficulty analysis module: used to collect the number of faults, fold degree and rock layer inclination angle of each monitoring point corresponding to each mining area of ​​the mine, analyze the mining difficulty of each monitoring point corresponding to each mining area of ​​the mine, and then analyze the position compliance of each monitoring point corresponding to each mining area of ​​the mine according to the monitoring points corresponding to each mining area of ​​the mine, and then screen out the mining points of each mining area of ​​the mine.

[0009] Safety factor analysis module: used to collect the drilling stress and groundwater level of the mining points in each mining area of ​​the mine, analyze the safety factor of each mining area of ​​the mine, determine whether each mining area of ​​the mine is safe, and then screen out the unsafe mining areas of the mine and issue early warning.

[0010] Mine database: used to store the location information of each drilling monitoring point in the mine.

[0011] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention constructs a three-dimensional geological model of the mine by collecting geological exploration data from each drilling monitoring point of the mine, which can intuitively display the spatial form and geological characteristics of the mine, help engineers design more reasonable and efficient mining plans, and reduce uncertainties and risks in the mining process.

[0012] (2) The present invention identifies each mining area of ​​the mine through the three-dimensional geological model of the mine, screens each drilling monitoring point corresponding to each mining area of ​​the mine, analyzes the mineral quality evaluation coefficient of each drilling monitoring point corresponding to each mining area of ​​the mine, and then screens out each qualified monitoring point corresponding to each mining area of ​​the mine, which can provide a reliable basis for mineral quality evaluation. The precise layout of monitoring points can also ensure the adequacy and accuracy of monitoring data, provide strong support for subsequent mineral product development and utilization, help to screen out high-quality mineral products, and improve the economic benefits of the mine. At the same time, it can also timely discover and deal with low-quality ore bodies to avoid waste of resources.

[0013] (3) The present invention collects the number of faults, fold degrees and rock layer inclination angles of each monitoring point corresponding to each mining area of ​​the mine, analyzes the mining difficulty of each monitoring point corresponding to each mining area of ​​the mine, and then analyzes the position compliance of each monitoring point corresponding to each mining area of ​​the mine according to the monitoring points corresponding to each mining area of ​​the mine, thereby screening out the mining points of each mining area of ​​the mine, which can avoid wasting time and resources in areas that do not have mining conditions or are too difficult to mine, help to improve the overall mining efficiency, shorten the mining cycle, reduce production costs, and can more accurately determine the mining points of each mining area, avoid blind mining and waste, help to improve the utilization rate of mineral resources, and extend the service life of mines.

[0014] (4) The present invention collects the drilling stress and groundwater level of the mining points in each mining area of ​​the mine, analyzes the safety factor of each mining area of ​​the mine, determines whether each mining area of ​​the mine is safe, and then screens out the non-safe mining areas of the mine for early warning. It can timely discover potential safety hazards, prevent the occurrence of mine accidents, and protect the life safety and physical health of miners. Mine managers can know the potential safety risks in advance and take corresponding prevention and response measures to reduce the possibility of accidents and mitigate the consequences of accidents, and can improve resource mining efficiency and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention provides a mining management system for a smart mine, including: a three-dimensional geological model construction module, a mineral quality evaluation module, a mining difficulty analysis module, a safety factor analysis module and a mine database.

[0019] The mineral product quality evaluation module is respectively connected with the three-dimensional geological model construction module, the mining difficulty analysis module and the mine database, and the mining difficulty analysis module is respectively connected with the mineral product quality evaluation module and the safety factor analysis module.

[0020] 3D geological model building module: used to collect geological exploration data from various drilling monitoring points in the mine to build a 3D geological model of the mine, where the geological exploration data include rock type, rock structure, ore body distribution and structural characteristics.

[0021] Furthermore, the specific process of constructing the three-dimensional geological model of the mine is: arranging each borehole monitoring point in the mine according to the preset borehole monitoring point layout principle, collecting core samples of each borehole monitoring point of the mine by a mining robot, performing petrological analysis on the core samples of each borehole monitoring point of the mine to obtain the rock type and rock structure of the core samples of each borehole monitoring point of the mine, obtaining the ore body distribution of the mine by geophysical exploration methods, and obtaining the structural characteristics of the mine by seismographs and laser scanners.

[0022] The area where the mine is located is divided into different geological units according to the rock types and rock structures of the core samples at each drilling monitoring point of the mine. The structural framework of the different geological units in the area where the mine is located is constructed based on the structural characteristics of the mine. Then, based on the distribution of the ore bodies in the mine, a three-dimensional geological model of the mine is constructed through three-dimensional modeling technology.

[0023] As a preferred embodiment, the specific process of obtaining the rock type and rock structure of the core samples of each drilling monitoring point in the mine through petrological analysis is: using a polarizing microscope to observe the mineral composition, crystal morphology, particle size, arrangement, etc. of the core samples to determine the rock type of the core samples.

[0024] The rock structure of the core sample is determined by combining the rock type and the structural characteristics of the described core sample, such as grain structure, matrix structure, replacement structure, etc., as well as structural phenomena such as bedding, joints, and fissures.

[0025] The specific process of obtaining the ore body distribution of a mine through geophysical exploration is as follows: conducting gravity exploration, magnetic exploration, electrical exploration, and seismic exploration on the mine to obtain the geophysical data of the mine, and using geophysical data processing software to perform imaging processing on the processed data, such as seismic tomography and magnetic inversion, to extract the physical property characteristic information of the underground rock ore body, and then obtain the ore body distribution of the ore body.

[0026] The specific process of obtaining the structural characteristics of the mine is as follows: the structural characteristics of the mine include the number of faults, folding degree and inclination angle of the rock formations, wherein the number of faults is obtained by deploying seismographs around the mine, continuously monitoring and recording the seismic data of underground seismic waves, including parameters such as amplitude, frequency, and waveform, and imaging the seismic data, such as seismic tomography and seismic reflection imaging. In the seismic data imaging results, possible fault structures are identified by observing the reflection, refraction and other phenomena of seismic waves when propagating underground, thereby obtaining the number of faults in the mine.

[0027] Among them, the shape and position of folds are identified by using the reflection, refraction and other phenomena of seismic waves when they propagate underground in the seismic data imaging results.

[0028] The inclination angle of the rock formation is obtained by setting up a laser scanning radar device near the drilling monitoring point, starting the device to scan, and obtaining the three-dimensional point cloud data of the rock formation; the point cloud data is processed and analyzed using ArcGIS pro software to calculate the inclination angle of the rock formation.

[0029] The present invention constructs a three-dimensional geological model of the mine by collecting geological exploration data from each drilling monitoring point of the mine, which can intuitively display the spatial form and geological characteristics of the mine, help engineers design more reasonable and efficient mining plans, and reduce uncertainties and risks in the mining process.

[0030] Mineral quality evaluation module: used to identify the mining areas of the mine according to the three-dimensional geological model of the mine, screen the drilling monitoring points corresponding to the mining areas of the mine, analyze the mineral quality evaluation coefficients of the drilling monitoring points corresponding to the mining areas of the mine, and then screen out the qualified monitoring points corresponding to the mining areas of the mine.

[0031] Further, the drilling monitoring points corresponding to the mining areas of the mine are screened, including: obtaining the ore body distribution of the mine according to the three-dimensional geological model of the mine, dividing the mine into mining areas, and then obtaining the mining areas of the mine.

[0032] The location information of each drilling monitoring point of the mine is extracted from the mine database.

[0033] The location information of each drilling monitoring point of the mine is imported into the 3D modeling software to obtain the location coordinates of each drilling monitoring point of the mine, which are then compared with the mining areas of the mine to obtain the drilling monitoring points corresponding to the mining areas of the mine.

[0034] Furthermore, the analysis of the mineral product quality evaluation coefficient of each borehole monitoring point corresponding to each mining area of ​​the mine includes: obtaining the content of each chemical element of the core sample of each borehole monitoring point corresponding to each mining area of ​​the mine by inductively coupled plasma mass spectrometry, and then obtaining the content of each chemical element per unit volume of the core sample of each borehole detection point corresponding to each mining area of ​​the mine, recorded as Wherein q represents the number corresponding to the qth mining area of ​​the mine, q=1,2,3,...Q, d represents the number corresponding to the dth drilling monitoring point of the mine, d=1,2,3,...D, and i represents the number corresponding to the i-th chemical element content of the mine, i=1,2,3,...I.

[0035] The density of the core samples at each borehole monitoring point corresponding to each mining area of ​​the mine is obtained by the densitometer, and then the density of the core samples per unit volume at each borehole monitoring point corresponding to each mining area of ​​the mine is obtained, which is recorded as m qd .

[0036] The particle size distribution of the minerals per unit volume of the core sample monitored by each borehole in each mining area of ​​the mine is obtained by a laser particle size analyzer, which is recorded as L qd .

[0037] Analyze the mineral quality evaluation coefficient M of each drilling monitoring point corresponding to each mining area of ​​the mine qd , where h i ′ represents the standard content of the i-th chemical element in the unit volume of minerals in the mining area of ​​the set mine, m′0 and L0′ represent the standard density of the unit volume of minerals and the standard particle size distribution of the minerals in the set mine, respectively, α1, α2 and α3 represent the weights corresponding to the chemical element content, density and particle size distribution of the unit volume of core samples in the set mine, respectively, and α1+α2+α3=1.

[0038] As a preferred embodiment, the α1, α2 and α3 can be set to 0.5, 0.3 and 0.2 respectively. The chemical element content is the basis for evaluating the quality of the ore, which directly determines the grade and potential value of the ore. Density is one of the important indicators of the physical properties of the ore, which affects the mining, transportation and processing costs of the ore. The particle size distribution reflects the size distribution of the ore particles, which has an important influence on the processing performance of the ore. Therefore, the weight corresponding to the chemical element content per unit volume of the core sample of the mine is the largest.

[0039] The specific process of obtaining the content of each chemical element of the core samples monitored by each borehole corresponding to each mining area of ​​the mine by inductively coupled plasma mass spectrometry is as follows: the collected core samples monitored by each borehole corresponding to each mining area of ​​the mine are crushed and ground to obtain uniform and fine core sample particles, the core samples are dissolved by appropriate acids, such as hydrofluoric acid, nitric acid, perchloric acid, etc., to extract the chemical elements therein, the diluted core sample solution is introduced into the ICP-MS instrument through the sampling system, the core sample is ionized into ions in the ion source, and separated and detected by the mass spectrometer, the instrument automatically records the ion signal intensity of each element and generates corresponding data, and the ion signal intensity is converted into the content of the chemical element according to the standard curve or the internal standard method, thereby obtaining the content of each chemical element of the core samples monitored by each borehole corresponding to each mining area of ​​the mine.

[0040] The specific process of obtaining the content of each chemical element in the unit volume of the core sample at each borehole detection point corresponding to each mining area of ​​the mine is: obtaining the volume of the core sample monitored by each borehole corresponding to each mining area of ​​the mine by a volume meter, comparing the content of each chemical element in the core sample monitored by each borehole corresponding to each mining area of ​​the mine with the volume of the corresponding core sample, and obtaining the content of each chemical element in the unit volume of the core sample at each borehole detection point corresponding to each mining area of ​​the mine.

[0041] According to the analysis method of the content of each chemical element in the unit volume of core samples at each drilling detection point corresponding to each mining area of ​​the mine, the density of the unit volume of core samples and the particle size distribution of the minerals at each drilling monitoring point corresponding to each mining area of ​​the mine are obtained similarly.

[0042] Furthermore, the specific process of screening out the compliant monitoring points corresponding to each mining area of ​​the mine is: comparing the mineral quality evaluation coefficient of each borehole monitoring point corresponding to each mining area of ​​the mine with a preset mineral quality evaluation coefficient threshold; if the mineral quality evaluation coefficient of a borehole monitoring point corresponding to a mining area of ​​the mine is greater than the preset mineral quality evaluation coefficient threshold, then the borehole detection point corresponding to the mining area of ​​the mine is a compliant detection point, and then the compliant monitoring points corresponding to each mining area of ​​the mine are obtained.

[0043] The present invention identifies each mining area of ​​the mine through the three-dimensional geological model of the mine, screens each drilling monitoring point corresponding to each mining area of ​​the mine, analyzes the mineral quality evaluation coefficient of each drilling monitoring point corresponding to each mining area of ​​the mine, and then screens out each qualified monitoring point corresponding to each mining area of ​​the mine, which can provide a reliable basis for mineral quality evaluation. The precise arrangement of monitoring points can also ensure the adequacy and accuracy of monitoring data, provide strong support for subsequent mineral product development and utilization, help to screen out high-quality mineral products, and improve the economic benefits of the mine. At the same time, it can also timely discover and process low-quality ore bodies to avoid waste of resources.

[0044] Mining difficulty analysis module: used to collect the number of faults, fold degree and rock layer inclination angle of each monitoring point corresponding to each mining area of ​​the mine, analyze the mining difficulty of each monitoring point corresponding to each mining area of ​​the mine, and then analyze the position compliance of each monitoring point corresponding to each mining area of ​​the mine according to the monitoring points corresponding to each mining area of ​​the mine, and then screen out the mining points of each mining area of ​​the mine.

[0045] Furthermore, the analysis of the mining difficulty of each mining area corresponding to each monitoring point of the mine includes: obtaining the number of faults corresponding to each monitoring point of each mining area of ​​the mine through the three-dimensional geological model of the mine, which is recorded as S qf , where f represents the number corresponding to the f-th monitoring point, f = 1, 2, 3, ... F.

[0046] The height of each fold that meets the monitoring points corresponding to each mining area of ​​the mine is obtained through the three-dimensional geological model of the mine, from which the highest height and the lowest height of the folds that meet the monitoring points corresponding to each mining area of ​​the mine are screened out, and the highest height of the folds that meet the monitoring points corresponding to each mining area of ​​the mine is subtracted from the lowest height to obtain the fold amplitude of each monitoring point corresponding to each mining area of ​​the mine.

[0047] Substituting the height of each fold that meets the monitoring point corresponding to each mining area of ​​the mine into the average formula, the average height of each fold that meets the monitoring point corresponding to each mining area of ​​the mine is obtained.

[0048] The fold amplitude of each monitoring point corresponding to each mining area of ​​the mine is divided by the average height of the fold to obtain the fold degree of each monitoring point corresponding to each mining area of ​​the mine, which is recorded as G qf .

[0049] The three-dimensional geological model of the mine is used to obtain the inclination angle of the rock formation corresponding to each monitoring point in each mining area of ​​the mine, which is recorded as X qf .

[0050] Analyze the mining difficulty N of each mining area corresponding to each monitoring point qf , S0, G0 and X0 respectively represent the allowable number of faults, allowable folding degree and allowable rock formation inclination angle of the mining area of ​​the set mine, β1, β2 and β3 respectively represent the weights corresponding to the number of faults, folding degree and rock formation inclination angle of the mining area of ​​the set mine that meet the monitoring points, and β1+β2+β3=1.

[0051] As a preferred embodiment, the β1, β2 and β3 can be expressed as 0.4, 0.3 and 0.3 respectively. A fault is a structure in which rocks or rock masses in the earth's crust undergo significant displacement along the fracture surface. Its existence will seriously affect the mining safety and production efficiency of the mine. A fold is a continuous bending deformation of rock formed under the action of tectonic stress, which reflects the deformation history and stress state of the rock. The inclination angle of the rock formation refers to the degree of inclination of the rock or ore body relative to the horizontal plane. In areas with a large inclination angle of the rock formation, more complex mining methods and support measures may be required during mining to ensure operational safety and efficiency. Therefore, the weight corresponding to the number of faults in the core samples of each monitoring point corresponding to each mining area of ​​the mine is greater than the weights corresponding to the degree of fold and the inclination angle of the rock formation.

[0052] The specific process of obtaining the inclination angle of the rock strata corresponding to each monitoring point in each mining area of ​​the mine is as follows: in the three-dimensional geological model of the mine, the horizontal plane is used as the reference plane, and the angle between the rock strata corresponding to each monitoring point in each mining area of ​​the mine and the horizontal plane is obtained, and the angle is used as the inclination angle of the rock strata corresponding to each monitoring point in each mining area of ​​the mine.

[0053] Furthermore, the analysis of the positional conformity of each conforming monitoring point corresponding to each mining area of ​​the mine includes: substituting each conforming monitoring point corresponding to each mining area of ​​the mine into the three-dimensional geological model of the mine to obtain the position coordinates of each conforming monitoring point corresponding to each mining area of ​​the mine, recorded as (x qf ,y qf ,z qf ).

[0054] The three-dimensional geological model of the mine is used to obtain the center coordinates of each mining area of ​​the mine, which are recorded as (x′ q ,y′ q ,z′ q ).

[0055] Analyze the location compliance of each monitoring point corresponding to each mining area of ​​the mine qf ,

[0056]

[0057] Furthermore, the screening out of mining points in each mining area of ​​the mine includes: comparing the mining difficulty of each conforming monitoring point corresponding to each mining area of ​​the mine with a preset mining difficulty threshold; if the mining difficulty of a conforming monitoring point corresponding to a mining area of ​​the mine is less than the preset mining difficulty threshold, then the conforming monitoring point corresponding to the mining area of ​​the mine is the expected mining point, thereby obtaining the expected mining points of each mining area of ​​the mine.

[0058] The predicted mining points corresponding to the largest positional coincidence in each mining area of ​​the mine are selected from the predicted mining points in each mining area of ​​the mine, and are recorded as the mining points in each mining area of ​​the mine.

[0059] The present invention collects the number of faults, fold degrees and rock layer inclination angles of each monitoring point that meets the requirements of each mining area of ​​the mine, analyzes the mining difficulty of each monitoring point that meets the requirements of each mining area of ​​the mine, and then analyzes the position compliance of each monitoring point that meets the requirements of each mining area of ​​the mine according to the monitoring points that meet the requirements of each mining area of ​​the mine, thereby screening out the mining points of each mining area of ​​the mine, which can avoid wasting time and resources in areas that do not have mining conditions or are too difficult to mine, help to improve the overall mining efficiency, shorten the mining cycle, reduce production costs, and can more accurately determine the mining points of each mining area, avoid blind mining and waste, help to improve the utilization rate of mineral resources, and extend the service life of mines.

[0060] Safety factor analysis module: used to collect the drilling stress and groundwater level of the mining points in each mining area of ​​the mine, analyze the safety factor of each mining area of ​​the mine, determine whether each mining area of ​​the mine is safe, and then screen out the unsafe mining areas of the mine and issue early warning.

[0061] Furthermore, the safety factor of each mining area of ​​the mine is analyzed, including: obtaining the drilling mining stress of the mining point of each mining area of ​​the mine by a stress meter, recorded as Y q .

[0062] The underground water level at each mining area of ​​the mine is obtained by the underground water level meter, which is recorded as E q .

[0063] Analyze the safety factor A of each mining area in the mine q , Among them, χ1 and χ2 represent the weights corresponding to the drilling stress and groundwater level of the mining points in the mining area of ​​the set mine, respectively, χ1+χ2=1, Y0 and E0 represent the allowable drilling stress and allowable groundwater level of the set mine, respectively, and R represents the total number of mining points.

[0064] As a preferred embodiment, the χ1 and χ2 can be set to 0.6 and 0.4 respectively. Since drilling mining will directly affect the stability and stress distribution of the rock mass, the drilling mining stress is often regarded as a very important safety indicator. The groundwater level is the existence state of groundwater in the pores and cracks of the rock, and it also affects the stability of the mine. Too high a groundwater level may cause rock softening and reduced strength, and increase the risks of slope instability and water gushing. Therefore, the weight corresponding to the internal stress of the mining point in the mining area of ​​the mine is greater than the weight corresponding to the groundwater level.

[0065] Furthermore, the screening out of the various unsafe mining areas of the mine includes: comparing the safety factor of each mining area of ​​the mine with a preset safety factor threshold of the mine; if the safety factor of a mining area of ​​the mine is less than the preset safety factor threshold of the mine, then the mining area of ​​the mine is unsafe, and then the various unsafe mining areas of the mine are screened out and an early warning is issued.

[0066] The present invention collects the drilling mining stress and groundwater level of the mining points in each mining area of ​​the mine, analyzes the safety factor of each mining area of ​​the mine, determines whether each mining area of ​​the mine is safe, and then screens out various unsafe mining areas of the mine for early warning. It can timely discover potential safety hazards, prevent the occurrence of mine accidents, and protect the life safety and physical health of miners. Mine managers can know the potential safety risks in advance and take corresponding prevention and response measures to reduce the possibility of accidents and mitigate the consequences of accidents, and can improve resource mining efficiency and economic benefits.

[0067] Mine database: used to store the location information of each drilling monitoring point in the mine.

[0068] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A mining management system for a smart mine, characterized by: include: 3D geological model building module: used to collect geological exploration data from various drilling monitoring points of the mine to build a 3D geological model of the mine, where the geological exploration data includes rock type, rock structure, ore body distribution and structural characteristics; Mineral quality evaluation module: used to identify the mining areas of the mine according to the three-dimensional geological model of the mine, screen the drilling monitoring points corresponding to the mining areas of the mine, analyze the mineral quality evaluation coefficients of the drilling monitoring points corresponding to the mining areas of the mine, and then screen out the monitoring points that meet the requirements of the mining areas of the mine; Mining difficulty analysis module: used to collect the number of faults, folds and rock layer inclination angles of each monitoring point corresponding to each mining area of ​​the mine, analyze the mining difficulty of each monitoring point corresponding to each mining area of ​​the mine, and then analyze the position conformity of each monitoring point corresponding to each mining area of ​​the mine according to each monitoring point corresponding to each mining area of ​​the mine, and then screen out the mining points of each mining area of ​​the mine; Safety factor analysis module: used to collect the drilling stress and groundwater level of each mining area of ​​the mine, analyze the safety factor of each mining area of ​​the mine, determine whether each mining area of ​​the mine is safe, and then screen out the unsafe mining areas of the mine for early warning; Mine database: used to store the location information of each drilling monitoring point in the mine; The mineral product quality evaluation coefficients of each drilling monitoring point corresponding to each mining area of ​​the analysis mine include: The contents of each chemical element in the core samples of each drilling monitoring point corresponding to each mining area of ​​the mine were obtained by inductively coupled plasma mass spectrometry, and then the contents of each chemical element per unit volume of the core samples of each drilling detection point corresponding to each mining area of ​​the mine were obtained, which was recorded as Where q represents the number corresponding to the qth mining area of ​​the mine, q = 1, 2, 3, ... Q, d represents the number corresponding to the dth drilling monitoring point of the mine, d = 1, 2, 3, ... D, i represents the number corresponding to the i-th chemical element content of the mine, i = 1, 2, 3, ... I; The density of the core samples at each borehole monitoring point corresponding to each mining area of ​​the mine is obtained by the densitometer, and then the density of the core samples per unit volume at each borehole monitoring point corresponding to each mining area of ​​the mine is obtained, which is recorded as m qd ; The particle size distribution of the minerals per unit volume of the core sample monitored by each borehole in each mining area of ​​the mine is obtained by a laser particle size analyzer, which is recorded as L qd ; Analyze the mineral quality evaluation coefficient M of each drilling monitoring point corresponding to each mining area of ​​the mine qd , where h i ′ represents the standard content of the ith chemical element per unit volume of minerals in the mining area of ​​the set mine, m′0 and L0′ represent the standard density of the unit volume of minerals and the standard particle size distribution of minerals in the set mine, respectively, α1, α2 and α3 represent the weights corresponding to the chemical element content, density and particle size distribution of the unit volume of the core sample of the set mine, respectively, and α1+α2+α3=1; The safety factor of each mining area of ​​the mine is analyzed, including: The drilling stress at each mining point in the mining area of ​​the mine is obtained by the stress meter, which is recorded as Y q ; The underground water level at each mining area of ​​the mine is obtained by the underground water level meter, which is recorded as E q ; Analyze the safety factor A of each mining area in the mine q , Among them, χ1 and χ2 represent the weights corresponding to the drilling stress and groundwater level of the mining points in the mining area of ​​the set mine, respectively, χ1+χ2=1, Y0 and E0 represent the allowable drilling stress and allowable groundwater level of the set mine, respectively, and Q represents the total number of mining points.

2. The mining management system of a smart mine according to claim 1, characterized in that: The specific process of constructing the three-dimensional geological model of the mine is as follows: According to the preset drilling monitoring point layout principle, various drilling monitoring points are arranged in the mine, and the core samples of each drilling monitoring point of the mine are collected by the mining robot. The rock type and rock structure of the core samples of each drilling monitoring point of the mine are obtained by petrological analysis, the ore body distribution of the mine is obtained by geophysical exploration method, and the structural characteristics of the mine are obtained by seismograph and laser scanner; The area where the mine is located is divided into different geological units according to the rock types and rock structures of the core samples at each drilling monitoring point of the mine. The structural framework of the different geological units in the area where the mine is located is constructed based on the structural characteristics of the mine. Then, based on the distribution of the ore bodies in the mine, a three-dimensional geological model of the mine is constructed through three-dimensional modeling technology.

3. The mining management system of a smart mine according to claim 1, characterized in that: The drilling monitoring points corresponding to the mining areas of the screening mine include: The distribution of the ore bodies of the mine is obtained according to the three-dimensional geological model of the mine, and the mine is divided into various mining areas, thereby obtaining various mining areas of the mine; Extracting the location information of each drilling monitoring point of the mine from the mine database; The location information of each drilling monitoring point of the mine is imported into the 3D modeling software to obtain the location coordinates of each drilling monitoring point of the mine, which are then compared with the mining areas of the mine to obtain the drilling monitoring points corresponding to the mining areas of the mine.

4. The mining management system of a smart mine according to claim 1, characterized in that: The specific process of screening out the monitoring points corresponding to the mining areas of the mine is as follows: The mineral quality evaluation coefficient of each borehole monitoring point corresponding to each mining area of ​​the mine is compared with the preset mineral quality evaluation coefficient threshold. If the mineral quality evaluation coefficient of a borehole monitoring point corresponding to a mining area of ​​the mine is greater than the preset mineral quality evaluation coefficient threshold, then the borehole detection point corresponding to the mining area of ​​the mine is a compliant detection point, and then the compliant monitoring points corresponding to each mining area of ​​the mine are obtained.

5. The mining management system of a smart mine according to claim 1, characterized in that: The analysis of the mining difficulty of each monitoring point corresponding to each mining area of ​​the mine includes: The number of faults that meet the monitoring points in each mining area of ​​the mine is obtained through the three-dimensional geological model of the mine, which is recorded as S qf , where f represents the number corresponding to the f-th monitoring point, f = 1, 2, 3, ... F; The height of each fold that meets the monitoring point corresponding to each mining area of ​​the mine is obtained through the three-dimensional geological model of the mine, and the highest and lowest heights of the folds that meet the monitoring point corresponding to each mining area of ​​the mine are screened out, and the highest height of the folds that meet the monitoring point corresponding to each mining area of ​​the mine is subtracted from the lowest height to obtain the fold amplitude of each monitoring point corresponding to each mining area of ​​the mine; Substituting the height of each fold that meets the monitoring point corresponding to each mining area of ​​the mine into the average formula, the average height of each fold that meets the monitoring point corresponding to each mining area of ​​the mine is obtained; The fold amplitude of each monitoring point corresponding to each mining area of ​​the mine is divided by the average height of the fold to obtain the fold degree of each monitoring point corresponding to each mining area of ​​the mine, which is recorded as G qf ; The three-dimensional geological model of the mine is used to obtain the inclination angle of the rock formation corresponding to each monitoring point in each mining area of ​​the mine, which is recorded as X qf ; Analyze the mining difficulty N of each mining area of ​​the mine corresponding to each monitoring point qf , S0, G0 and X0 respectively represent the allowable number of faults, allowable folding degree and allowable rock formation inclination angle of the mining area of ​​the set mine, β1, β2 and β3 respectively represent the weights corresponding to the number of faults, folding degree and rock formation inclination angle of the mining area of ​​the set mine that meet the monitoring points, and β1+β2+β3=1.

6. The mining management system of a smart mine according to claim 5, characterized in that: The analysis of the location conformity of each conforming monitoring point corresponding to each mining area of ​​the mine includes: Substitute the monitoring points corresponding to each mining area of ​​the mine into the three-dimensional geological model of the mine to obtain the position coordinates of the monitoring points corresponding to each mining area of ​​the mine, which are recorded as (x qf ,y qf ,z qf ); The three-dimensional geological model of the mine is used to obtain the center coordinates of each mining area of ​​the mine, which are recorded as (x′ q ,y′ q ,z′ q ); Analyze the location compliance of each monitoring point corresponding to each mining area of ​​the mine qf , 7. The mining management system of a smart mine according to claim 1, characterized in that: The mining points of each mining area of ​​the selected mine include: The mining difficulty of each monitoring point corresponding to each mining area of ​​the mine is compared with the preset mining difficulty threshold. If the mining difficulty of a monitoring point corresponding to a mining area of ​​the mine is less than the preset mining difficulty threshold, the monitoring point corresponding to the mining area of ​​the mine is the expected mining point, and then the expected mining points of each mining area of ​​the mine are obtained; The predicted mining points corresponding to the largest positional coincidence in each mining area of ​​the mine are selected from the predicted mining points in each mining area of ​​the mine, and are recorded as the mining points in each mining area of ​​the mine.

8. The mining management system of a smart mine according to claim 1, characterized in that: The non-safe mining areas of the mines screened out include: The safety factor of each mining area of ​​the mine is compared with the preset safety factor threshold of the mine. If the safety factor of a mining area of ​​the mine is less than the preset safety factor threshold of the mine, the mining area of ​​the mine is unsafe, and then the non-safe mining areas of the mine are screened out and early warning is issued.

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