Mine geological environment comprehensive evaluation method and system

Abstract

The invention relates to the technical field of environment evaluation, in particular to a comprehensive evaluation method and system for a mine geological environment. The method comprises the following steps that mine ore content data, underground water level data, soil acidity and alkalinity data and mine geological meteorological condition data are obtained and subjected to time sequence synchronization processing, and corresponding ore content data, underground water level data, soil acidity and alkalinity data and mine geological meteorological condition data in the same time sequence range are obtained; mine geologic structure exploration data are obtained, three-dimensional space structure modeling and environment risk factor monitoring of all sites are carried out, meanwhile, environment risk comprehensive evaluation analysis and environment risk management analysis are carried out on a three-dimensional space model of mine geologic structure distribution, and mine geologic environment risk management decision suggestions are generated. And executing a corresponding mine geological environment risk level management decision treatment plan. According to the invention, comprehensive dynamic monitoring of the geological environment of the mine can be realized on different time scales and spatial position dimensions.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental assessment, and in particular to a method and system for comprehensive assessment of mine geological environment. Background Art

[0002] Mining activities will inevitably have a certain impact on the surrounding geological environment. Problems such as surface subsidence, groundwater pollution, ecological damage and geological disasters have become important challenges to the sustainable development of the mining industry. In order to effectively evaluate the environmental impact of mining and formulate reasonable environmental protection measures, it is particularly important to carry out a comprehensive evaluation of the mining geological environment. At present, the commonly used techniques in the comprehensive evaluation of mining geological environment include the analytic hierarchy process (AHP), fuzzy comprehensive evaluation method, geographic information system (GIS) analysis, multivariate statistical analysis method, etc. These methods can effectively integrate multiple evaluation indicators and quantify the comprehensive impact of different factors on the mining geological environment through weight assignment and mathematical model construction. However, the existing evaluation methods still have some shortcomings. For example, in the process of multi-factor comprehensive evaluation, the relationship and influence between indicators are difficult to accurately quantify, and it is difficult to fully reflect the multi-dimensional impact of mining activities on environmental changes, which leads to certain restrictions on the accuracy and reliability of the evaluation results. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a comprehensive evaluation method and system for the geological environment of a mine to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a comprehensive evaluation method for mine geological environment includes the following steps: Step S1: obtaining the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, and performing time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range; Step S2: obtaining the mine geological structure exploration data, and performing three-dimensional spatial structure modeling based on the mine geological structure exploration data to generate a three-dimensional spatial model of the mine geological structure distribution; monitoring the environmental risk factors of each point in the three-dimensional spatial model of the mine geological structure distribution based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data in the same time series range, and obtaining the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial position node; Step S3: Based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial location node, a comprehensive environmental risk evaluation and analysis is performed on the three-dimensional spatial model of mine geological structure distribution to obtain a comprehensive score of mine geological environmental risk; Step S4: Based on the comprehensive score of mine geological environmental risk, an environmental risk management analysis is performed on the three-dimensional spatial model of mine geological structure distribution to generate mine geological environmental risk management decision recommendations to implement the corresponding mine geological environmental risk level management decision governance plan.

[0005] Further, step S1 includes the following steps: Step S11: obtaining mine ore content data; Step S12: obtaining groundwater level data; Step S13: obtaining soil pH data; Step S14: obtaining geological and meteorological condition data of the mine, including precipitation in the mine area, temperature in the mine area, and humidity in the mine area; Step S15: Perform time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range.

[0006] Further, step S2 includes the following steps: Step S21: Acquire mining geological structure exploration data, including mining geological structure distribution, mining rock layer distribution and mining ore body reserve distribution; Step S22: Perform three-dimensional spatial structure modeling according to the mine geological structure exploration data to generate a three-dimensional spatial model of the mine geological structure distribution; perform spatial mapping of geological environment changes on the three-dimensional spatial model of the mine geological structure distribution based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range to generate a spatial distribution model of the mine geological structure environment changes; Step S23: performing landslide risk assessment analysis on the ore content and mine geological meteorological conditions corresponding to each spatial position node in the spatial distribution model of mine geological structure environment change, and obtaining the mine environmental landslide risk factor corresponding to each spatial position node; Step S24: Perform water pollution risk assessment and analysis on the groundwater level and soil pH corresponding to each spatial location node in the spatial distribution model of mine geological structure environment change, and obtain the mine water pollution risk factor corresponding to each spatial location node; Step S25: Conduct ore body subsidence risk assessment and analysis on the ore content and soil pH corresponding to each spatial location node in the spatial distribution model of mine geological structure environment changes, and obtain the mine land subsidence risk factor corresponding to each spatial location node.

[0007] Further, step S23 includes the following steps: Step S231: finely divide the spatial grid nodes of the spatial distribution model of the mine geological structure environment change to generate each mine geological structure environment spatial grid position node; Step S232: obtaining the corresponding ore content and mine geological meteorological conditions through each mine geological structure environment spatial grid position node, and performing a time series response coupling analysis according to the ore content and mine geological meteorological conditions corresponding to each spatial position node to generate a time series dynamic response distribution field between mine geological ore content and meteorological conditions; Step S233: Based on the time-series dynamic response distribution field between the mine geological ore content and the meteorological conditions, the corresponding spatial position nodes in the mine geological structure environment change spatial distribution model are subjected to ore stress analysis to generate the rock mass change stress of the mine geological ore at the corresponding meteorological conditions at each spatial position node; the ore rock mass stability analysis is performed according to the rock mass change stress of the mine geological ore at the corresponding meteorological conditions at each spatial position node to obtain the corresponding mine geological ore rock mass stability index at each spatial position node; Step S234: Based on the mine geological ore rock mass stability index corresponding to each spatial position node, a spatial landslide potential probability assessment analysis is performed on the corresponding spatial position node in the mine geological structure environment change spatial distribution model to obtain the mine geological spatial landslide potential probability corresponding to each spatial position node; Step S235: According to the potential probability of landslide in the mine geology space corresponding to each spatial location node, landslide risk assessment analysis is performed on the corresponding spatial location nodes in the spatial distribution model of the mine geological structure environment change to obtain the mine environment landslide risk factor corresponding to each spatial location node.

[0008] Further, step S232 includes the following steps: Conduct time series change analysis on the ore content and mine geological and meteorological conditions corresponding to each spatial location node, and obtain the time series of ore content and meteorological conditions corresponding to each spatial location node; Perform time-varying statistical analysis on the time-varying sequence of ore content and meteorological conditions corresponding to each spatial location node, and obtain the time-varying response characteristics between the ore content and meteorological conditions corresponding to each spatial location node; The spatial difference evaluation and analysis of the ore content time variation series and meteorological condition time variation series corresponding to each spatial location node are performed to obtain the spatial distribution difference between the ore content and meteorological conditions corresponding to each spatial location node; Based on the time-varying response characteristics and spatial distribution differences between the ore content and meteorological conditions at each spatial location node, the corresponding ore content time variation series and meteorological condition time variation series are subjected to time series response coupling analysis to generate the time series dynamic response distribution field between the mine geological ore content and meteorological conditions.

[0009] Further, step S24 includes the following steps: Step S241: obtaining the groundwater level and soil pH corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change; Step S242: Based on the groundwater level and soil pH corresponding to each spatial location node, the spatial location node corresponding to the spatial distribution model of the mine geological structure environment change is analyzed to generate the spatial distribution of the groundwater level in the mining area and the spatial distribution of the soil pH in the mining area corresponding to each spatial location node; Step S243: performing groundwater pollution sensitivity analysis according to the spatial distribution of groundwater levels in the mining area and the spatial distribution of soil pH in the mining area corresponding to each spatial location node, and obtaining the probability of groundwater pollution sensitivity in the mining area corresponding to each spatial location node; Step S244: Based on the pollution sensitivity probability of underground water quality in the mining area corresponding to each spatial location node, a water pollution risk assessment analysis is performed on the corresponding spatial location nodes in the spatial distribution model of the mine geological structure environment change to obtain the mine water pollution risk factor corresponding to each spatial location node.

[0010] Further, step S25 includes the following steps: Step S251: performing spatial distribution quantitative analysis on the ore content corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change, and obtaining the spatial distribution of the mine geological ore content corresponding to each spatial position node; Step S252: quantifying the ore body soil settlement sensitivity of the spatial distribution of the mine geological ore content corresponding to each spatial position node based on the soil pH corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change, so as to obtain the mine geological soil settlement sensitivity probability corresponding to each spatial position node; Step S253: performing settlement potential prediction analysis on the corresponding spatial position nodes in the spatial distribution model of the mine geological structure environment change based on the mine geological soil settlement sensitivity probability corresponding to each spatial position node, and obtaining the mine geological soil settlement prediction potential corresponding to each spatial position node; Step S254: Based on the mine geological soil subsidence prediction potential corresponding to each spatial position node, an ore body subsidence risk assessment analysis is performed on the corresponding spatial position nodes in the mine geological structure environment change spatial distribution model to obtain the mine land subsidence risk factor corresponding to each spatial position node.

[0011] Further, step S3 includes the following steps: Step S31: performing environmental risk assessment calculation on the three-dimensional spatial model of mine geological structure distribution based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial position node, and obtaining the mine geological structure environmental risk score corresponding to each spatial position node; Step S32: performing risk equal-value clustering on the three-dimensional spatial model of the mine geological structure distribution based on the mine geological structure environmental risk score corresponding to each spatial position node, so as to generate each mine geological structure environmental risk equal-value distribution area; Step S33: Obtain the corresponding mine geological risk weight value through each mine geological structure environmental risk equal distribution area; Step S34: Based on the mine geological risk weight values ​​corresponding to the equal distribution areas of each mine geological structure environmental risk, a comprehensive environmental risk evaluation and analysis is performed on the corresponding mine geological structure distribution three-dimensional spatial model to obtain a comprehensive mine geological environmental risk score.

[0012] Furthermore, the present invention also provides a mine geological environment comprehensive evaluation system for executing the mine geological environment comprehensive evaluation method as described above, and the mine geological environment comprehensive evaluation system comprises: The mine geological environment data time series synchronization module is used to obtain mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, and perform time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, so as to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range; The mine spatial site risk factor analysis module is used to obtain mine geological structure exploration data, and to perform three-dimensional spatial structure modeling based on the mine geological structure exploration data to generate a three-dimensional spatial model of mine geological structure distribution; based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological conditions data in the same time series range, the three-dimensional spatial model of mine geological structure distribution is used to monitor the environmental risk factors of each site, so as to obtain the corresponding mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor under each spatial position node; The mine geological environment risk comprehensive evaluation module is used to conduct a comprehensive environmental risk evaluation and analysis on the three-dimensional spatial model of mine geological structure distribution based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial location node, so as to obtain a comprehensive score of mine geological environment risk; The mine geological environment risk management module is used to conduct environmental risk management analysis on the three-dimensional spatial model of mine geological structure distribution based on the comprehensive mine geological environment risk score, generate mine geological environment risk management decision recommendations, and implement the corresponding mine geological environment risk level management decision governance plan.

[0013] Furthermore, the present invention also provides a computer storage medium on which a computer program is stored, and when the computer program is executed, the above-mentioned comprehensive evaluation method for the mining geological environment is implemented.

[0014] Beneficial effects of the present invention: 1. Compared with the prior art, the comprehensive evaluation method for the geological environment of a mine proposed in the present invention has the beneficial effect that, by collecting ore content data at different locations and depths of a mine, the distribution of mineral resources in the mine can be more accurately understood, providing a scientific basis for subsequent processing processes. By acquiring groundwater level data to monitor groundwater level changes, water source infiltration, groundwater level rise or fall, etc. can be discovered in a timely manner, thereby avoiding the occurrence of emergencies such as floods, providing data support for the management of water resources around mines, environmental impact assessments, and research on water pollution. By acquiring soil pH data, it can help evaluate soil fertility, plant growth conditions, and soil pollution problems in the mining area. It also obtains data on geological and meteorological conditions of mines, including information such as precipitation, temperature and humidity in the mining area. These data have an important impact on the production safety, resource exploitation and environmental protection of mines. Precipitation directly affects the water resource management of mines. Excessive precipitation leads to soil erosion, landslides and floods in mining areas. Insufficient precipitation affects the water supply of mines. Temperature and humidity affect the operating efficiency of mining equipment, the physical and chemical properties of ore and the stability of the mining ecosystem. By obtaining and analyzing the geological and meteorological conditions data of mines, mines can make corresponding adjustments according to different climate changes, thereby providing data support for subsequent processing processes. At the same time, by performing time-series synchronization processing on mine ore content data, groundwater level data, soil pH data, and mine geological and meteorological conditions data, it is possible to achieve coordination and integration between different data sets, and ensure that all data are compared and analyzed within the same time frame, thereby avoiding deviations caused by data time differences. This process not only helps to discover the correlation between different factors, such as the impact of changes in soil pH on ore extraction efficiency, or the potential impact of groundwater level changes on mine environmental changes, but also allows for more refined control of the comprehensive evaluation of mine geological environment, thereby being able to accurately quantify the relationship and impact between various mine geological environmental indicators. Secondly, by obtaining mine geological structure exploration data, including important information such as mine geological structure distribution, rock layer distribution and ore reserve distribution, geologists and mine engineers can fully understand the geological conditions and mineral resource distribution of the mine. This step can provide the most basic geological data support for subsequent mine evaluation, modeling, risk analysis and other work. By performing three-dimensional spatial structure modeling on the mine geological structure exploration data, a three-dimensional model of the mine geological structure can be generated, so that the complex geological structure of the mine can be visualized and deeply analyzed, and it can accurately reflect the relative position and distribution characteristics of each geological unit in the mine, thereby helping engineers better understand the spatial distribution of underground rock formations.It also monitors the environmental risk factors at each point in the three-dimensional spatial model of the mine geological structure distribution based on the corresponding ore content data, groundwater level data, soil pH data and mine geological and meteorological conditions data in the same time series, and can comprehensively evaluate the possibility and risk factors of landslides, water pollution and land subsidence. Through accurate landslide risk assessment, it can help mine managers predict and identify potential landslide hazard areas in advance. By integrating environmental data such as groundwater level changes and soil pH, the risk of water pollution caused by mining can be predicted. By comprehensively considering the ore content and soil pH, the potential risk of land subsidence during mining can be effectively evaluated, thereby fully reflecting the multi-dimensional impact of mining activities on environmental changes. Then, by collecting and analyzing various risk factors at different spatial location nodes, including landslide risk factors, water pollution risk factors and land subsidence risk factors, these factors reflect the potential risk level of different environmental problems in the mining area. Each factor is derived from a comprehensive assessment of multiple factors, such as soil type, slope, hydrological conditions, groundwater level, etc. Through a reasonable risk assessment calculation formula, these factors can be comprehensively analyzed to calculate a specific environmental risk score for each spatial location node of the mine geological structure. This score represents the overall level of geological environmental risk faced by the location, and by weighting the risk weight of each location with the corresponding environmental risk score, a comprehensive risk score for the mine geological environment is obtained. This comprehensive score is an overall assessment of the geological environmental risk status of the entire mine, which can reflect the comprehensive risk level of each area of ​​the mine, making the evaluation results more accurate and reliable, thereby providing mine managers with a clear basis for decision-making. Finally, by conducting management analysis of mine geological environmental risks based on comprehensive scoring and generating corresponding risk management decision recommendations, the significance of this process lies in providing a concise and intuitive tool through quantitative comprehensive scoring to help mine operators and managers clearly understand the environmental risk status of the mine and take appropriate management measures based on this status. The analysis of comprehensive scores can not only reveal which areas face higher environmental risks, but also help decision makers give priority to key monitoring and governance of high-risk areas. This process helps to formulate a scientific risk classification management system, so that the mine geological environment can implement targeted risk control and emergency response strategies.

[0015] 2. The comprehensive mine geological environment evaluation system proposed in the present invention is composed of a mine geological environment data time series synchronization module, a mine spatial site risk factor analysis module, a mine geological environment risk comprehensive evaluation module and a mine geological environment risk management module. It can realize any mine geological environment comprehensive evaluation method described in the present invention, and is used to combine the operations between computer programs running on each module to realize the mine geological environment comprehensive evaluation method. The internal structure of the system cooperates with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient mine geological environment comprehensive evaluation process, thereby simplifying the operation process of the mine geological environment comprehensive evaluation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings: Figure 1 It is a schematic diagram of the steps of the comprehensive evaluation method of the mine geological environment of the present invention; Figure 2 for Figure 1 Detailed step flow diagram of step S1; Figure 3 for Figure 1 Detailed step flow chart of step S2 in FIG. DETAILED DESCRIPTION

[0017] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0018] To achieve this, please refer to Figures 1 to 3 The present invention provides a method for comprehensive evaluation of mining geological environment. In the embodiments of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the comprehensive evaluation method for the mine geological environment of the present invention. In this example, the comprehensive evaluation method for the mine geological environment includes the following steps: Step S1: obtaining the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, and performing time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range; In an embodiment of the present invention, underground rock strata sampling is performed in the mining area by means of geological exploration and drilling technology. The location of each sampling point is recorded by a GPS positioning system to ensure that the spatial distribution of the data is accurate. The test results will obtain the specific value of the ore content, forming a data set containing the ore content, spatial position and sampling time, thereby obtaining the mine ore content data. It is obtained by laying groundwater monitoring wells. These monitoring wells should be reasonably arranged according to the distribution of the groundwater system in the area where the mine is located to ensure that the main mining area of ​​the mine and its surrounding environment are covered. Each monitoring well will be equipped with a water level sensor to record the changes in the groundwater level in real time, thereby obtaining groundwater level data. Through soil sampling and laboratory chemical analysis, first, multiple soil sampling points are selected in the mining area according to a certain spatial distribution and depth. When sampling, standardized sampling tools such as soil drills, shovels, etc. are used to ensure that the sampling process is not contaminated. The soil samples are sent to the laboratory for pH testing. Commonly used testing methods include glass electrode method and potentiometric titration method. The pH data of the soil samples need to be recorded in detail according to the geological characteristics of the mine, the soil type and the specific depth of sampling, thereby obtaining soil pH data. At the same time, by obtaining corresponding meteorological conditions data, including parameters such as precipitation, temperature and humidity, the precipitation data is usually obtained by setting up meteorological stations or using data from surrounding meteorological stations. The meteorological stations record the precipitation in the mining area in real time through rain gauges; temperature and humidity data are collected through meteorological sensors. These sensors are installed at different locations in the mining area to record changes in temperature and humidity. The data collection frequency is generally hourly or daily to ensure that the overall meteorological characteristics of the mining area can be reflected, thereby obtaining mining geological meteorological conditions data. Then, by integrating the mine ore content, groundwater level, soil pH and meteorological conditions data into a unified time series data set, first time align the various types of data. The collection frequencies of different data sources are inconsistent. The ore content data is collected monthly, while the groundwater level data and meteorological data are collected hourly or daily. Therefore, all data need to be adjusted to a unified time step through interpolation methods. For example, linear interpolation or spline interpolation is used to fill in the missing data between time points. If there is a large time difference between the data or the data is incomplete, the time window technology can be used to resample the data to ensure the integrity of the data coverage. The mine environmental data that has been synchronized in time will form a complete database, which can fully reflect the changing trends of the ore content, groundwater level, soil pH and meteorological conditions of the mine at different time nodes, and finally obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological and meteorological conditions data within the same time series range.

[0019] Step S2: obtaining the mine geological structure exploration data, and performing three-dimensional spatial structure modeling based on the mine geological structure exploration data to generate a three-dimensional spatial model of the mine geological structure distribution; monitoring the environmental risk factors of each point in the three-dimensional spatial model of the mine geological structure distribution based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data in the same time series range, and obtaining the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial position node; In the embodiment of the present invention, by obtaining relevant exploration data of the geological structure of the mine, these data are usually derived from geological exploration work, including drilling sampling, seismic reflection exploration, geological profile analysis and mineral deposit investigation. Specifically, the distribution of geological structure is obtained through geological profiles and drilling data. These images and data record the type, thickness, inclination and distribution of rock layers at different depths; the distribution of rock layers in the mine is achieved through detailed stratigraphic division and lithology analysis, which can be analyzed using the observation results of drilling samples and field outcrops; the distribution of mine ore reserves is usually obtained through resource reserve calculation, based on the exploration data of the mineral deposit. According to the data, the reserve information of the ore body is calculated by combining the ore content, the geometric shape of the ore body and the distribution law of the ore body with the numerical simulation method, and after completing the acquisition of the mine geological structure exploration data, a three-dimensional spatial model of the mine geological structure is constructed based on these data. The specific implementation method is to use professional three-dimensional modeling software, such as GOCAD, Petrel, etc. First, the geological profile and drilling data of the mine are input into the model, and three-dimensional modeling is performed according to the actual geological structure characteristics of the ore deposit, considering the geometric shape of the ore layer, the distribution law of the ore body and the physical properties of each rock layer, so as to construct a three-dimensional spatial model of the mine geological structure distribution. Then, based on the ore content data, groundwater level data, soil pH data and mine geological meteorological conditions data in the same time series, the mine geological structure distribution model is mapped spatially for geological environmental changes. This process requires the use of numerical simulation and spatial analysis technology, and the use of geographic information system (GIS) tools such as ArcGIS or MapInfo to perform spatial interpolation and predictive analysis on different environmental variables to generate a spatial distribution model of mine geological structure environmental changes. Based on the spatial distribution model of the mining geological structure and environmental changes generated previously, the landslide risk assessment is performed on each spatial location node in the model. At this time, the landslide risk assessment analysis needs to be combined with the ore content data, mining geological and meteorological conditions, and the geological structure in the three-dimensional spatial model. The specific method is to use landslide models, such as factor scoring method (FS), conditional probability model (CPM), etc., combined with multi-factor analysis technology, to evaluate the landslide potential of each spatial node, calculate the landslide risk factor corresponding to each node, and thus obtain the mine environment landslide risk factor corresponding to each spatial location node.At the same time, based on the spatial distribution model of the mine geological structure and environmental changes, the water pollution risk of each spatial location node is further assessed. The main factors considered in this analysis are the groundwater level and soil pH data. Changes in groundwater levels directly affect the hydrological conditions in the mining area, especially the water level changes and water flow paths after mining. These factors determine the pollution diffusion direction and pollution concentration of mine water bodies. Changes in soil pH affect the acidification or alkalization process of mine soils, which in turn affects the quality of groundwater, especially the acidification of water bodies caused by mine drainage. The water pollution risk assessment adopts a combination of hydrological models and pollution diffusion models (such as ModFlow and Water Quality Model), combined with the hydrogeological conditions of the mining area, and through numerical simulation calculations, the water pollution risk factors of each node are evaluated, thereby obtaining the corresponding mine water pollution risk factors at each spatial location node. Then, the ore body subsidence risk assessment analysis is carried out for each spatial position node in the spatial distribution model of the mine geological structure environment change. This analysis is mainly based on the data of ore content and soil pH. Ore body subsidence is usually closely related to the mining of the ore body, changes in groundwater levels and changes in soil properties. In order to achieve subsidence risk assessment, a ground subsidence prediction model is usually used, such as the finite element method (FEM) or artificial neural network model (ANN), and the ore content and soil pH are combined into these models for analysis. Through these numerical simulations, the surface subsidence effect occurring in the mining area under different environmental conditions can be predicted, and finally the corresponding mine land subsidence risk factor at each spatial position node is obtained.

[0020] Step S3: Based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial location node, a comprehensive environmental risk evaluation and analysis is performed on the three-dimensional spatial model of mine geological structure distribution to obtain a comprehensive score of mine geological environmental risk; In an embodiment of the present invention, a suitable risk assessment calculation formula is formed by combining the mine environmental landslide risk factor, mine water pollution risk factor, mine land subsidence risk factor and related parameters corresponding to the spatial position node to perform environmental risk assessment calculation on the three-dimensional spatial model of mine geological structure distribution, so as to quantify and output the environmental risk score of each position node, and analyze the environmental risk score of each spatial position node, and use a clustering algorithm to perform equal value division on the mine geological structure. The specific operation is to group all nodes according to their environmental risk scores and generate contour lines. Common clustering algorithms such as K-means, DBSCAN or hierarchical clustering method are used, and the algorithm that best suits the characteristics of the mine geological environment is selected for processing, so as to divide different risk level areas through cluster analysis, such as high risk area (85-100 points), medium risk area (45-84) and low risk area (0-44). According to the division results of the equal value distribution area of ​​the mine geological structure environmental risk, each is determined. The mine geological risk weight value of each equivalent area is calculated. In this process, we must first set the weight of each equivalent area according to the specific situation of the mining area and the influence of each risk factor. These weight values ​​represent the environmental risk intensity of each area. Then, a comprehensive risk assessment of the mine geological environment is carried out based on the risk equivalent distribution area and the corresponding risk weight value. The specific operation is to combine the risk weight of each area with the mine environmental risk score of each node in the area to calculate the comprehensive environmental risk score of each area. This score is a quantitative result of the overall environmental risk of each mining area. In the comprehensive evaluation and analysis process, the risk score is processed using the weighted average method or a multi-factor evaluation model. The analysis can be automatically calculated through the geographic information system software, and the comprehensive risk score of each area can be displayed in a color map or a digital model to clarify the environmental risk level of different mining areas and provide a scientific mine geological environment risk assessment result, and finally obtain a comprehensive mine geological environment risk score.

[0021] Step S4: Based on the comprehensive score of mine geological environmental risk, an environmental risk management analysis is performed on the three-dimensional spatial model of mine geological structure distribution to generate mine geological environmental risk management decision recommendations to implement the corresponding mine geological environmental risk level management decision governance plan.

[0022] In an embodiment of the present invention, a risk management analysis is performed on the corresponding mine geological environment in the three-dimensional spatial model of the mine geological structure distribution according to the previously obtained comprehensive score of the mine environmental risk. First, the overall risk level of the mine should be divided into different risk levels according to the score results, such as low risk, medium risk, high risk, etc. Then, based on the characteristics of each risk level, a corresponding mine geological environment risk management decision is made. For example, for high-risk areas, measures such as strengthening monitoring, timely intervention and restoration can be taken; while for low-risk areas, the monitoring frequency can be appropriately reduced to reduce the cost of governance. In addition, specific governance plans need to be formulated for different risk factors. For example, in areas with higher landslide risks, slope reinforcement or changes in mining methods are required; in areas with higher water pollution risks, consideration can be given to strengthening water quality monitoring and pollution source control, and generating a detailed mine geological environment risk management decision recommendation report, which will provide a decision-making basis for the mine management department to ensure the safe operation and environmental protection of the mine, and ultimately implement the corresponding mine geological environment risk level management decision governance plan.

[0023] Further, as an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps: Step S11: obtaining mine ore content data; In an embodiment of the present invention, underground rock sampling is carried out in a mining area by means of geological exploration and drilling technology. The location of each sampling point is recorded by a GPS positioning system to ensure accurate spatial distribution of the data. The collected rock samples will undergo chemical analysis. Common testing methods include X-ray fluorescence (XRF) analysis, flame photometry, etc. Appropriate testing methods are selected according to different ore types. The test results will obtain specific values ​​of the ore content, such as the metal element content of a certain type of ore. The data needs to be cleaned and standardized, and data from different sources and different time periods are converted into a unified format, and interpolation processing is performed to supplement missing values ​​caused by sampling intervals and irregular distribution, so as to form a set of data including ore content, spatial position and sampling time, and finally obtain mine ore content data.

[0024] Step S12: obtaining groundwater level data; In an embodiment of the present invention, groundwater is obtained by laying out groundwater monitoring wells. These monitoring wells should be reasonably arranged according to the distribution of the groundwater system in the area where the mine is located to ensure coverage of the main mining area of ​​the mine and its surrounding environment. Each monitoring well will be equipped with a water level sensor to record changes in the groundwater level in real time. The sensor usually adopts capacitive or electromagnetic induction principles, and the water level data is uploaded to the database through an automated data acquisition system. The water level data of each monitoring point will be recorded and stored on an hourly or daily basis to ensure the continuity and timeliness of the data, and finally the groundwater level data is obtained.

[0025] Step S13: obtaining soil pH data; In an embodiment of the present invention, soil sampling is performed and laboratory chemical analysis is performed. First, multiple soil sampling points are selected in a mining area according to a certain spatial distribution and depth. When sampling, standardized sampling tools such as soil drills and shovels are used to ensure that the sampling process is not contaminated. The soil samples are sent to the laboratory for pH testing. Commonly used testing methods include the glass electrode method and the potentiometric titration method. The pH data of the soil samples must be recorded in detail based on the geological characteristics of the mine, the soil type and the specific depth of the sampling. Each sample collected will be accompanied by the spatial location, sampling time and other relevant environmental data, and finally the soil pH data is obtained.

[0026] Step S14: obtaining geological and meteorological condition data of the mine, including precipitation in the mine area, temperature in the mine area, and humidity in the mine area; In an embodiment of the present invention, corresponding meteorological condition data are obtained, including parameters such as precipitation, temperature and humidity, wherein precipitation data is usually obtained by deploying meteorological stations or using data from surrounding meteorological stations. The meteorological stations record the precipitation in the mining area in real time through rain gauges to ensure the accuracy and real-time nature of the data; temperature and humidity data are collected through meteorological sensors, which are installed at different locations in the mining area to record changes in temperature and humidity. The data collection frequency is generally hourly or daily to ensure sufficient time resolution. During the data processing process, all meteorological data must be quality controlled to eliminate outliers and null values ​​and convert them into a standard time series format. The meteorological data must also be smoothed to eliminate mutations and fluctuations, and the precipitation, temperature and humidity data are synchronized with other environmental data in the mining area to ensure that the overall meteorological characteristics of the mining area can be reflected, and finally the mining geological meteorological condition data is obtained.

[0027] Step S15: Perform time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range.

[0028] In an embodiment of the present invention, by integrating the mine ore content, groundwater level, soil pH and meteorological condition data into a unified time series data set, firstly, time alignment is performed on various types of data. The collection frequencies of different data sources are inconsistent. The ore content data is collected monthly, while the groundwater level data and meteorological data are collected hourly or daily. Therefore, all data need to be adjusted to a unified time step by an interpolation method. For example, linear interpolation or spline interpolation is used to fill in the missing data between time points. If there is a large time difference between the data or the data is incomplete, the data can be resampled by time window technology to ensure the integrity of the data coverage. All synchronized data need to be uniformly standardized to ensure the consistency of data dimensions and avoid the impact of dimensional differences of different data types on subsequent analysis. The mine environment data synchronized by time series will form a complete database, which can fully reflect the changing trends of the ore content, groundwater level, soil pH and meteorological conditions of the mine at different time nodes, and finally obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological and meteorological condition data in the same time series range.

[0029] Further, as an embodiment of the present invention, refer to Figure 3 As shown, Figure 1 Detailed step flow diagram of step S2 in FIG. 1 , in this embodiment, step S2 includes the following steps: Step S21: Acquire mining geological structure exploration data, including mining geological structure distribution, mining rock layer distribution and mining ore body reserve distribution; In an embodiment of the present invention, relevant exploration data of the geological structure of a mine is obtained. These data are usually derived from geological exploration work, including drilling sampling, seismic reflection exploration, geological profile analysis, and mineral deposit investigation. Specifically, geological structure distribution data is obtained through geological profiles and drilling data. These images and data record the type, thickness, inclination, and distribution of rock layers at different depths. The distribution of rock layers in the mine is achieved through detailed stratigraphic division and lithology analysis, which can be analyzed using drilling samples and observation results of field outcrops. The reserve distribution data of the mine ore body is usually obtained through resource reserve calculation. Based on the exploration data of the ore deposit, a numerical simulation method is used to combine the ore content, the geometric shape of the ore body, and the distribution law to calculate the reserve information of the ore body. The data collection and analysis at this stage rely on geological exploration tools, such as geological drilling machines, reflection wave exploration instruments, geological radars, and computer-aided geological analysis software, and finally the exploration data of the mine geological structure are obtained, including the distribution of the mine geological structure, the distribution of the mine rock layer, and the distribution of the mine ore body reserves.

[0030] Step S22: Perform three-dimensional spatial structure modeling according to the mine geological structure exploration data to generate a three-dimensional spatial model of the mine geological structure distribution; perform spatial mapping of geological environment changes on the three-dimensional spatial model of the mine geological structure distribution based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range to generate a spatial distribution model of the mine geological structure environment changes; In an embodiment of the present invention, after completing the acquisition of mine geological structure exploration data, a three-dimensional spatial model of the mine geological structure is constructed based on these data. The specific implementation method is to use professional three-dimensional modeling software, such as GOCAD, Petrel, etc. First, the geological profile and drilling data of the mine are input into the model, and three-dimensional modeling is performed according to the actual geological structure characteristics of the ore deposit. When constructing the three-dimensional spatial model, the geometric shape of the ore layer, the distribution law of the ore body and the physical properties of each rock layer are considered, so as to construct a three-dimensional spatial model of the mine geological structure distribution. Next, based on the ore content data, groundwater level data, soil pH data and mine geological and meteorological conditions data in the same time series, the mine geological structure distribution model is spatially mapped for geological environmental changes. This process requires the use of numerical simulation and spatial analysis techniques, and the use of geographic information system (GIS) tools such as ArcGIS or MapInfo to perform spatial interpolation and predictive analysis on different environmental variables to generate a spatial distribution model of mine geological structure environmental changes. At this time, the three-dimensional model will integrate the mine's geological environment data, such as groundwater level changes, spatiotemporal changes in soil pH and the influence of meteorological conditions, to form a complete geological environment change distribution model, and finally generate a spatial distribution model of mine geological structure environmental changes.

[0031] Step S23: performing landslide risk assessment analysis on the ore content and mine geological meteorological conditions corresponding to each spatial position node in the spatial distribution model of mine geological structure environment change, and obtaining the mine environmental landslide risk factor corresponding to each spatial position node; In an embodiment of the present invention, based on the spatial distribution model of the mine geological structure environment change previously generated, a landslide risk assessment is performed on each spatial position node in the model. At this time, the landslide risk assessment analysis needs to be analyzed in combination with the ore content data, the mine geological meteorological conditions and the geological structure in the three-dimensional spatial model. The specific method is to use a landslide model, such as the factor scoring method (FS), the conditional probability model (CPM), etc., combined with multi-factor analysis technology to evaluate the landslide potential of each spatial node. These risk factors usually include changes in ore content, especially the slippery substances in the ore (such as the distribution of clay minerals), and the influence of meteorological factors such as precipitation, wind speed, and temperature in the mining area. Use a dedicated geological disaster assessment software (such as LANDSLIDE or Slope Analysis Tool) to quantify the risk factor of each spatial position, calculate the landslide risk factor corresponding to each node, and finally obtain the mine environment landslide risk factor corresponding to each spatial position node.

[0032] Step S24: Perform water pollution risk assessment and analysis on the groundwater level and soil pH corresponding to each spatial location node in the spatial distribution model of mine geological structure environment change, and obtain the mine water pollution risk factor corresponding to each spatial location node; In an embodiment of the present invention, based on the spatial distribution model of the mine geological structure environment change, a water pollution risk assessment is further performed on each spatial location node. The main factors considered in this analysis are the groundwater level and soil pH data. The change of the groundwater level directly affects the hydrological conditions of the mining area, especially the water level change and water flow path after mining in the mining area. These factors determine the pollution diffusion direction and pollution concentration of the mine water body. The change of soil pH affects the acidification or alkalization process of the mine soil, and then affects the quality of groundwater, especially the water acidification caused by mining drainage. The water pollution risk assessment adopts a combination of hydrological model and pollution diffusion model (such as ModFlow and Water Quality Model), combined with the hydrogeological conditions of the mining area, and through numerical simulation calculation, the water pollution risk factor of each node is evaluated, which will reflect the possibility and degree of water pollution in the area, and finally obtain the corresponding mine water pollution risk factor under each spatial location node.

[0033] Step S25: Conduct ore body subsidence risk assessment and analysis on the ore content and soil pH corresponding to each spatial location node in the spatial distribution model of mine geological structure environment changes, and obtain the mine land subsidence risk factor corresponding to each spatial location node.

[0034] In an embodiment of the present invention, an ore body settlement risk assessment and analysis is performed for each spatial position node in the spatial distribution model of the mine geological structure environment change. This analysis is mainly based on the data of ore content and soil pH. Ore body settlement is usually closely related to the mining of the ore body, changes in groundwater levels and changes in soil properties. In particular, changes in ore content trigger different settlement effects on the mine surface, and changes in soil pH may also affect the stability of the ore body. In order to achieve settlement risk assessment, a ground settlement prediction model is usually used, such as the finite element method (FEM) or the artificial neural network model (ANN), and the ore content and soil pH are combined with these models for analysis. Through these numerical simulations, the surface settlement effect occurring in the mine area under different environmental conditions can be predicted, and the settlement risk factor of each spatial position node can be quantitatively analyzed, and finally the corresponding mine land settlement risk factor under each spatial position node is obtained.

[0035] Further, step S23 includes the following steps: Step S231: finely divide the spatial grid nodes of the spatial distribution model of the mine geological structure environment change to generate each mine geological structure environment spatial grid position node; In an embodiment of the present invention, the spatial distribution model of the geological structure and environmental changes of the mine is finely divided by using professional geological modeling software (such as GMS, GEO5, ArcGIS, etc.) according to the geographical location, scale and geological characteristics of the mine. During the specific operation, the geological profile data, ore body distribution, faults, fissures, rock formation types and other information of the mining area are input into the modeling system, and a spatial grid model is generated through an algorithm. The granularity of the grid division should be optimized according to the actual situation of the mine to ensure that each grid node can accurately reflect the geological changes inside the mine. Through this grid model, the spatial distribution of different areas of the mine can be clearly displayed, and finally the spatial grid position nodes of the geological structure environment of each mine are generated.

[0036] Step S232: obtaining the corresponding ore content and mine geological meteorological conditions through each mine geological structure environment spatial grid position node, and performing a time series response coupling analysis according to the ore content and mine geological meteorological conditions corresponding to each spatial position node to generate a time series dynamic response distribution field between mine geological ore content and meteorological conditions; In an embodiment of the present invention, by extracting the ore content of each spatial grid node and the meteorological data of the mine (such as temperature, humidity, precipitation, etc.) from the mine geological structure environment model, the geological survey data and the real-time meteorological monitoring system can be used to import the data into the time series analysis model, and the ore content and meteorological conditions of each spatial position node are coupled and analyzed through numerical simulation tools (such as MATLAB, Python and other programming languages ​​combined with machine learning algorithms) to obtain the dynamic response of the ore content with the change of meteorological conditions. This coupling analysis takes into account the long-term and short-term impact of meteorological factors on the geological structure of the mine, and generates a time series dynamic response distribution field between the mine geological ore content and meteorological conditions through time series modeling. The change of ore content will change dynamically with the fluctuation of meteorological conditions, thereby affecting the stability of the mine rock mass, and finally generating a time series dynamic response distribution field between the mine geological ore content and meteorological conditions.

[0037] Step S233: Based on the time-series dynamic response distribution field between the mine geological ore content and the meteorological conditions, the corresponding spatial position nodes in the mine geological structure environment change spatial distribution model are subjected to ore stress analysis to generate the rock mass change stress of the mine geological ore at the corresponding meteorological conditions at each spatial position node; the ore rock mass stability analysis is performed according to the rock mass change stress of the mine geological ore at the corresponding meteorological conditions at each spatial position node to obtain the corresponding mine geological ore rock mass stability index at each spatial position node; In an embodiment of the present invention, the stress changes of the corresponding spatial position nodes in the spatial distribution model of the mine geological structure environment change are simulated and calculated by combining the time-series dynamic response distribution field between the mine geological ore content and the meteorological conditions using the finite element analysis method (FEM) or the discrete element method (DEM), so as to use the time-series dynamic response distribution field data in the mine geological model, combined with the changes in the ore content and meteorological conditions at each spatial position node, and use numerical simulation software (such as ABAQUS, FLAC3D, etc.) to perform rock stress analysis. First, the spatial grid model and meteorological data are input, and the stress distribution in the ore body at each spatial position node is calculated by simulating the change process of the ore under different meteorological conditions, that is, ,in is the spatial location node Stress under external loads such as ore content and meteorological conditions, is the spatial location node The original stress under the meteorological conditions is obtained to generate the rock mass change stress of the mine geological ore under the corresponding meteorological conditions at each spatial position node. At the same time, the rock mass stability is evaluated based on the ore stress analysis results of the previous step, and the stability of the ore rock mass under different meteorological conditions is analyzed in detail by introducing rock mass stability analysis models (such as slope stability analysis, landslide potential assessment model, etc.). In specific operations, the appropriate rock mass stability calculation formula, such as the Moore-Coulomb criterion, is used to make stability judgments based on factors such as the stress distribution, lithology, and crack conditions of the rock mass. The stability index of the spatial node is calculated using rock mass stability evaluation software (such as Slide, RocScience, etc.). Each spatial position node will obtain a stability index, which reflects the stability level of the mine rock mass under the current meteorological conditions, that is, ,in is the spatial location node The corresponding ore rock mass stability index is: To grade the quality of the rock, is the geological intensity index, is the spatial location node The corresponding rock mass change stress is calculated, and finally the corresponding mine geological ore rock mass stability index at each spatial position node is obtained.

[0038] Step S234: Based on the mine geological ore rock mass stability index corresponding to each spatial position node, a spatial landslide potential probability assessment analysis is performed on the corresponding spatial position node in the mine geological structure environment change spatial distribution model to obtain the mine geological spatial landslide potential probability corresponding to each spatial position node; In the embodiment of the present invention, by combining the aforementioned rock mass stability index, the potential probability of landslide is evaluated for each spatial position node, so as to adopt a geological hazard risk assessment model (such as probability analysis method, Monte Carlo simulation, etc.), and analyze the landslide potential of each node in the mine according to factors such as rock mass stability index, terrain slope, soil moisture, groundwater level, earthquake, etc. In the specific operation, professional geological hazard risk assessment tools (such as GeoSlope, PLAXIS, etc.) are used to calculate the potential probability of spatial landslide. The potential probability value of landslide at each node will give a quantitative landslide risk index after considering the stability of the ore rock mass and external environmental factors, that is, ,in is the spatial location node The corresponding landslide potential probability is, , , , The weights of each factor are a, b, c, , and finally the potential probability of landslide in mining geology space corresponding to each spatial position node is obtained.

[0039] Step S235: According to the potential probability of landslide in the mine geology space corresponding to each spatial location node, landslide risk assessment analysis is performed on the corresponding spatial location nodes in the spatial distribution model of the mine geological structure environment change to obtain the mine environment landslide risk factor corresponding to each spatial location node.

[0040] In the embodiment of the present invention, the landslide risk assessment of the mine geological environment is further performed based on the potential probability of landslide in the mine geological space obtained in the previous step, so as to comprehensively consider the potential probability of landslide with multiple factors such as geology, meteorology, and engineering, and adopt a risk assessment model (such as hierarchical analysis method, fuzzy comprehensive evaluation, etc.) to analyze the landslide risk factor of each spatial location node. In the specific operation, the actual consequences of mine landslides and the potential probability of landslides are combined into the risk assessment model to obtain the landslide risk factor of each spatial node. ,in The risk factor is the actual consequence of mine landslides. It can quantify the degree of landslide risk in the mine environment and finally obtain the corresponding mine environment landslide risk factor at each spatial location node.

[0041] Further, step S232 includes the following steps: Conduct time series change analysis on the ore content and mine geological and meteorological conditions corresponding to each spatial location node, and obtain the time series of ore content and meteorological conditions corresponding to each spatial location node; In an embodiment of the present invention, by collecting the original data of the ore content and the geological and meteorological conditions of the mine at each spatial location node, these data are usually obtained through a sensor network or remote sensing technology in the mining area, wherein the ore content data is usually obtained through underground sampling or drilling detection, and the meteorological condition data is obtained by a ground meteorological station or a meteorological satellite. For each spatial location node, data cleaning and preprocessing are first performed to remove outliers and missing data. Next, time series modeling is performed on the ore content data and meteorological condition data of each node through time series analysis tools (such as ARIMA model, time series stabilization method, etc.), so as to identify the trend, periodic fluctuation and random change characteristics of the ore content and meteorological condition data at different time points by comparing and analyzing them, and display the time series data through visualization means (such as time series graph) so that the law of data change is clear at a glance, and finally the ore content time change series and meteorological condition time change series corresponding to each spatial location node are obtained.

[0042] Preferably, a time-varying statistical analysis is performed on the time-varying sequence of ore content and the time-varying sequence of meteorological conditions corresponding to each spatial position node to obtain the time-varying response characteristics between the ore content and meteorological conditions corresponding to each spatial position node; In an embodiment of the present invention, the time-varying sequence of the ore content of each spatial position node is compared with the time-varying sequence of the meteorological conditions in parallel, so as to evaluate the dynamic relationship between the ore content and the meteorological conditions by using time-varying statistical methods such as regression analysis and correlation analysis. Commonly used analysis methods include Pearson correlation coefficient, mutual information, principal component analysis (PCA), etc. These methods can reveal the time-varying correlation between the ore content and the meteorological conditions. In order to further analyze the time-varying characteristics, the sliding window technology is used to segment the time series data, and the correlation between the ore content and the meteorological conditions in each time window is calculated. This method can reveal the time-varying response relationship between the ore content and the meteorological conditions in different time periods, and help analyze the potential connection between the change in ore content and the meteorological change. For example, the ore content will be affected by factors such as precipitation, temperature, and humidity, and this influence is nonlinear or has a lag effect. Finally, the time-varying response characteristics between the ore content and the meteorological conditions corresponding to each spatial position node are obtained.

[0043] Preferably, a spatial difference evaluation analysis is performed on the ore content time variation sequence and the meteorological condition time variation sequence corresponding to each spatial position node to obtain the spatial distribution difference between the ore content and the meteorological condition corresponding to each spatial position node; In an embodiment of the present invention, the spatial difference between the ore content and the meteorological conditions of each spatial position node is evaluated. In this process, it is first necessary to perform spatial interpolation processing (such as Kriging interpolation method or inverse distance weighted method) on the ore content data and the meteorological condition data of each spatial position node, so as to obtain a smoother and continuous data distribution in space, and evaluate the distribution difference of the ore content and meteorological conditions at different spatial positions through spatial statistical analysis methods (such as spatial autocorrelation analysis, hot spot analysis, geographical weighted regression analysis, etc.), especially through Moran's I index, local spatial autocorrelation and other indicators, reveal whether there is a significant spatial correlation between the ore content and meteorological conditions at different spatial positions. For example, some areas have a higher ore content and relatively stable meteorological conditions, while other areas have more drastic changes in ore content due to special geological structures or climatic factors. Through spatial difference analysis, the spatial distribution law at each spatial position node of the mine can be revealed, and finally the spatial distribution difference between the ore content and meteorological conditions corresponding to each spatial position node is obtained.

[0044] Preferably, based on the time-varying response characteristics and spatial distribution differences between the ore content and meteorological conditions corresponding to each spatial position node, a time-series response coupling analysis is performed on the corresponding ore content time-varying sequence and meteorological condition time-varying sequence to generate a time-series dynamic response distribution field between the mine geological ore content and meteorological conditions.

[0045] In the embodiment of the present invention, by combining the time series change analysis results obtained by the previous analysis (i.e., the time-varying response characteristics of the ore content time series and the meteorological condition time series), and the spatial difference evaluation results (i.e., the spatial distribution difference of the ore content and the meteorological condition), a more in-depth coupling analysis is performed on the corresponding ore content time series and the meteorological condition time series. The main methods used in the coupling analysis include dynamic time warping (DTW), coupled equation model, mutual information calculation, etc. These methods can accurately capture the nonlinear time series coupling relationship between the ore content and the meteorological condition, especially the interaction between the two may not be a simple linear relationship, but has the characteristics of hysteresis effect, non-stationarity, etc. The response coupling analysis can establish a response mechanism model between ore content and meteorological conditions in the mine geological environment, and generate a time-series dynamic response distribution field. In order to further optimize the time-series coupling results, the weighted average method based on spatial position nodes is used to spatially weight the coupling responses at different spatial positions to obtain the dynamic response distribution field between ore content and meteorological conditions in the entire mine area. This distribution field can effectively reflect the comprehensive change trend of ore content and meteorological conditions in time and space dimensions, and further reveal the synchronization and lag effect of ore content changes and meteorological conditions changes in different areas of the mine in different time periods, and finally generate a time-series dynamic response distribution field between mine geological ore content and meteorological conditions.

[0046] Further, step S24 includes the following steps: Step S241: obtaining the groundwater level and soil pH corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change; In an embodiment of the present invention, the groundwater level and soil pH data of each spatial location node in the mining area are obtained by using geological exploration equipment and monitoring technology. First, the mining area is sampled in depth using drilling technology, and multiple monitoring points are set and the corresponding water level conditions are recorded. The groundwater level can be collected by installing water level monitoring instruments (such as pore water level meters, groundwater samplers, etc.) and regularly obtaining dynamic change data of the groundwater level. The soil samples are collected and analyzed, and the soil pH test equipment (such as pH meter or soil test kit) is used for measurement to obtain the acidity and alkalinity values ​​of the soil at each node in the mining area. These data are spatially located and encoded through a professional geographic information system (GIS), and the groundwater level and soil pH data of each spatial node are input into the spatial distribution model of geological structure environmental changes to form a basic data set, and finally the groundwater level and soil pH corresponding to each spatial location node are obtained.

[0047] Step S242: Based on the groundwater level and soil pH corresponding to each spatial location node, the spatial location node corresponding to the spatial distribution model of the mine geological structure environment change is analyzed to generate the spatial distribution of the groundwater level in the mining area and the spatial distribution of the soil pH in the mining area corresponding to each spatial location node; In an embodiment of the present invention, spatial analysis is performed on the corresponding spatial position nodes in combination with previously collected groundwater level and soil pH data to determine the spatial distribution characteristics of environmental changes in the mining area. The collected spatial position nodes are analyzed using a GIS platform to establish a spatial distribution model of geological environmental changes. A spatial interpolation method (such as Kriging interpolation, inverse distance weighted method, etc.) is used to combine the groundwater level and soil pH data to infer the distribution of groundwater level and soil pH at each location within the entire mining area. This process can also be combined with digital elevation model (DEM) data to more accurately analyze the topography and hydrogeological characteristics of the mining area, further adjust the spatial distribution of groundwater level and soil pH, generate a spatial distribution map of groundwater level and soil pH in the mining area, and finally generate the corresponding spatial distribution of groundwater level in the mining area and the spatial distribution of soil pH in the mining area under each spatial position node.

[0048] Step S243: performing groundwater pollution sensitivity analysis according to the spatial distribution of groundwater levels in the mining area and the spatial distribution of soil pH in the mining area corresponding to each spatial location node, and obtaining the probability of groundwater pollution sensitivity in the mining area corresponding to each spatial location node; In an embodiment of the present invention, a groundwater pollution sensitivity analysis is performed based on the spatial distribution of groundwater levels and soil pH in a mining area generated previously. The flow direction and velocity of groundwater, as well as the exchange process of groundwater, can be determined based on the spatial distribution of groundwater levels. The influence of different soil pH areas on the adsorption and migration of pollutants in groundwater is analyzed by combining the distribution data of soil pH. Then, based on the interaction between groundwater and soil, a water pollution sensitivity analysis model (such as a numerical hydrological model, a geological hydrological response model, etc.) is used to evaluate the pollution sensitivity of groundwater at each spatial location node. The model simulates the influencing factors of pollutant migration, degradation, and soil media in detail to obtain the groundwater pollution sensitivity probability corresponding to each spatial location node. ,in is the spatial location node The corresponding groundwater level distribution is as follows: is the spatial location node The corresponding soil pH distribution is as follows: is the pollutant migration influencing factor, is the degradation influencing factor, The soil medium influencing factor is used as the sensitivity assessment result, which can reflect the groundwater pollution risk in different areas of the mining area, and finally obtain the sensitive probability of groundwater pollution in the mining area corresponding to each spatial location node.

[0049] Step S244: Based on the pollution sensitivity probability of underground water quality in the mining area corresponding to each spatial location node, a water pollution risk assessment analysis is performed on the corresponding spatial location nodes in the spatial distribution model of the mine geological structure environment change to obtain the mine water pollution risk factor corresponding to each spatial location node.

[0050] In an embodiment of the present invention, by relying on the previously obtained groundwater pollution sensitivity probability and combining the spatial distribution model of the mine geological structure environment change, a water pollution risk assessment analysis is performed. First, the groundwater quality pollution sensitivity probability of each spatial location node is combined with the hydrological conditions, soil permeability, mineral resource mining activities and other factors of the node, and a risk assessment model (such as risk assessment based on fuzzy logic, Monte Carlo simulation method, etc.) is used to quantitatively analyze the water pollution risk in the mining area. Specifically, the water pollution risk factor of the mining area needs to be comprehensively evaluated based on multidimensional data such as groundwater level changes, soil pH, pollutant distribution, and groundwater pollution sensitivity. During the assessment process, the water pollution risk factor is combined with the spatial distribution model using the GIS system to obtain a water pollution risk distribution map under each spatial location node, reflecting the pollution risk level of each area, that is, ,in is the spatial location node The corresponding groundwater flow velocity is is the spatial location node The corresponding soil permeability is is the spatial location node The corresponding mining pollution source intensity of the mining area is obtained, and finally the corresponding mine water pollution risk factor of each spatial location node is obtained.

[0051] Further, step S25 includes the following steps: Step S251: performing spatial distribution quantitative analysis on the ore content corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change, and obtaining the spatial distribution of the mine geological ore content corresponding to each spatial position node; In an embodiment of the present invention, when performing a quantitative analysis of the spatial distribution of ore content in a spatial distribution model of a mine geological structure and environmental change, it is first necessary to use geological exploration data, remote sensing images and geological measurement results to determine various spatial position nodes in the mine area. These spatial nodes can be divided according to geological profiles, drilling holes or three-dimensional grids of the mine area, so that these spatial nodes are located and interpolated in three-dimensional space by using spatial analysis tools (such as ArcGIS, MapInfo or dedicated mineral resource assessment software) to generate a spatial distribution model of ore content. In this model construction process, the data sources of ore content include drilling sampling data, surface outcrop ore content detection and geological radar scanning results, etc., and geostatistical methods such as Kriging interpolation method (Kriging) or inverse distance weighted method (IDW) are used to spatially interpolate and quantify the ore content. Through these methods, the ore content distribution can be accurately calculated at different spatial nodes in the mine area to form a spatial distribution map of the geological ore content of the mine, and finally the spatial distribution of the mine geological ore content corresponding to each spatial position node is obtained.

[0052] Step S252: Based on the soil pH corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change, the spatial distribution of the mine geological ore content corresponding to each spatial position node is quantified to obtain the mine geological soil settlement sensitivity probability corresponding to each spatial position node; wherein, the ore body soil settlement sensitivity is quantitatively calculated using the ore body soil settlement sensitivity calculation formula, and the ore body soil settlement sensitivity calculation formula is specifically: In an embodiment of the present invention, a suitable ore body soil settlement sensitivity calculation formula is constructed by combining the soil pH corresponding to the spatial position node, the spatial distribution of mine geological ore content, the mine geological structure change factor, the mine geological soil settlement physical property coefficient, the soil settlement sensitivity adjustment factor, the mine geological soil settlement spatial distribution, the micro-element volume element and related parameters to perform quantitative calculation to quantify the corresponding settlement sensitivity probability value. In addition, the calculation formula can be processed using any land settlement sensitivity assessment method in the field, and reveals the response characteristics of different spatial position nodes to settlement changes, and finally obtains the mine geological soil settlement sensitivity probability corresponding to each spatial position node.

[0053] ; In the formula, For nodes in space The corresponding mine geological soil settlement sensitivity probability is: For nodes in space The corresponding soil pH is For nodes in space The spatial distribution of ore content in the corresponding mine geology is shown below. For nodes in space The corresponding mine geological structure change factor is: For nodes in space The corresponding physical property coefficient of mining geological soil settlement is: is an exponential function, is the soil settlement sensitivity adjustment factor, For nodes in space The corresponding spatial distribution of soil settlement in mining geology is shown below. is the infinitesimal volume element, is the correction coefficient of the probability of soil settlement sensitivity in mining geology; The present invention obtains a calculation formula for soil subsidence sensitivity of an ore body by using a specific mathematical model and after verification, which is used to quantify the soil subsidence sensitivity of an ore body for the spatial distribution of the mine geological ore content corresponding to each spatial position node. The calculation formula for soil subsidence sensitivity of an ore body can quantitatively analyze each spatial position node in the mine geological environment through integral calculations, thereby accurately calculating the soil subsidence sensitivity of each spatial position. Such spatial distribution quantification not only helps to fully understand the subsidence potential of different areas in the mining area, but also provides basic data for subsequent subsidence potential prediction and risk assessment. The exponential term in the formula The nonlinear characteristics of soil settlement sensitivity are shown. Under actual geological conditions, settlement behavior is usually affected by complex factors, such as the physical properties of the soil, the mining process of the ore body, and external factors such as groundwater. This item can effectively simulate these complex relationships. By accurately quantifying each influencing factor, the formula provides an operational calculation tool for the sensitivity of soil settlement in mine geology, which not only helps researchers understand and predict the spatial distribution characteristics of soil settlement, but also provides important reference data for engineering design, environmental protection, and mining. The soil settlement sensitivity probability, as an input for subsequent analysis, provides accurate spatial data support for settlement potential prediction and risk assessment. Therefore, the accuracy and rationality of this formula directly determine the effect of subsequent prediction and assessment. By calculating the soil settlement sensitivity probability of each spatial location node, the settlement prediction potential and settlement risk factor of different areas of the mine can be obtained. This information is of great significance to the mining plan, environmental protection measures, and prevention of geological disasters in the mine. It can help decision makers formulate more scientific and reasonable mine development and management plans and reduce the geological risks that occur. In summary, the soil settlement sensitivity calculation formula of the ore body not only provides a tool for quantifying settlement sensitivity by considering multiple geological, physical and chemical factors and combining quantitative analysis of spatial distribution, but also provides accurate basic data for subsequent potential prediction and risk assessment. Corresponding mine geological soil settlement sensitivity probability , at the spatial location node The corresponding soil pH , at the spatial location node The spatial distribution of ore content in the corresponding mine geology , at the spatial location node The corresponding mine geological structure change factor , at the spatial location node The corresponding physical property coefficient of mine geological soil settlement , exponential function , soil settlement sensitivity adjustment factor , at the spatial location node The spatial distribution of soil settlement in mining geology corresponding to , micro volume element , Correction coefficient of soil settlement sensitivity probability in mining geology , according to the spatial position of the node Corresponding mine geological soil settlement sensitivity probability The correlation between the above parameters constitutes a functional relationship This formula can realize the quantification process of the ore body soil settlement sensitivity of the spatial distribution of the mine geological ore content corresponding to each spatial position node. At the same time, by introducing the correction coefficient of the mine geological soil settlement sensitivity probability, it can be adjusted according to the error occurring in the calculation process, thereby improving the accuracy and applicability of the ore body soil settlement sensitivity calculation formula.

[0054] Step S253: performing settlement potential prediction analysis on the corresponding spatial position nodes in the spatial distribution model of the mine geological structure environment change based on the mine geological soil settlement sensitivity probability corresponding to each spatial position node, and obtaining the mine geological soil settlement prediction potential corresponding to each spatial position node; In an embodiment of the present invention, the settlement potential of the corresponding spatial position nodes is predicted by combining the previously quantified mine geological soil settlement sensitivity probability. First, the physical properties of the geological structure (such as soil density, moisture, porosity, etc.) and the influence of external factors (such as hydrological conditions, mining activities, etc.) on soil settlement are analyzed. These physical properties can be obtained through field surveys, laboratory tests and remote sensing data analysis. Based on these data, numerical simulation methods (such as finite element analysis or finite difference method) are used to predict the settlement potential. The mine geological structure environment model is used to consider the deformation characteristics of different depths and different soil layers. The soil settlement sensitivity probability is combined with other geological data to establish a soil settlement potential prediction model. The model can reflect the settlement potential at different spatial position nodes, specifically including the settlement velocity, maximum settlement amount and spatial distribution trend of settlement, and through simulation calculation, the soil settlement prediction potential corresponding to each spatial node is obtained, that is, ,in For nodes in space The corresponding soil settlement prediction potential is: For nodes in space The corresponding effective soil stress change is: For nodes in space The corresponding soil layer thickness is is the compression index, and finally the prediction potential of mine geological soil settlement corresponding to each spatial location node is obtained.

[0055] Step S254: Based on the mine geological soil subsidence prediction potential corresponding to each spatial position node, an ore body subsidence risk assessment analysis is performed on the corresponding spatial position nodes in the mine geological structure environment change spatial distribution model to obtain the mine land subsidence risk factor corresponding to each spatial position node.

[0056] In an embodiment of the present invention, by combining the previously determined predicted potential of soil settlement in the mine geology, taking into account the differences in different geological conditions, ore distribution and soil settlement potential, and combining the theoretical model of geological disasters (such as soil deformation model or rock and soil mechanics model), the settlement risk factor of each spatial node is calculated. Specifically, the calculation process of the ore body settlement risk assessment includes obtaining the settlement potential value of each spatial position in the mining area, and weighting the settlement potential by the weight coefficient to obtain the settlement risk factor of the position, that is, ,in is the weight coefficient corresponding to the spatial position node, is the groundwater level change, is the unit weight of groundwater, is the permeability coefficient of soil. The calculation of this factor not only depends on the settlement prediction potential, but also needs to be combined with historical mining data, mining depth of ore resources, mining technology and other factors to comprehensively evaluate the risk of settlement. In the evaluation process, the risk matrix method, Monte Carlo simulation method, etc. can be used for further risk probability calculation. Through these analyses, the corresponding mine land settlement risk factor for each spatial location node is finally obtained.

[0057] Further, step S3 includes the following steps: Step S31: performing environmental risk assessment calculation on the three-dimensional spatial model of mine geological structure distribution based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial position node, and obtaining the mine geological structure environmental risk score corresponding to each spatial position node; In an embodiment of the present invention, by combining the three-dimensional spatial range of the mine geological structure distribution, the mine environmental landslide risk factor, mine water pollution risk factor, mine land subsidence risk factor, landslide risk impact coefficient, water pollution risk impact coefficient, land subsidence risk impact coefficient, spatial position risk attenuation coefficient, mine geological spatial position reference node and related parameters corresponding to the spatial position node, a suitable risk assessment calculation formula is formed to perform environmental risk assessment calculation on the three-dimensional spatial model of the mine geological structure distribution to quantify and output the environmental risk score of each position node. The risk assessment calculation formula can also be performed using any risk assessment calculation method in the field, such as exponential type, trigonometric function type, etc. Further, the risk assessment calculation formula is specifically as follows: ; In the formula, For nodes in space The corresponding mine geological structure environmental risk score is: The three-dimensional spatial range of the mine geological structure distribution, For nodes in space The corresponding mine environment landslide risk factor is: is the landslide risk impact coefficient, For nodes in space The corresponding risk factors of mine water pollution are: is the water pollution risk impact coefficient, For nodes in space The corresponding mine land subsidence risk factor is: is the land subsidence risk impact coefficient, is the spatial location risk attenuation coefficient, , and They are all reference nodes of the mining geological space location. It is the correction coefficient for the environmental risk score of the geological structure of the mine. The formula combines multiple risk factors of the mine environment (landslide, pollution and subsidence), and comprehensively considers different types of geological environmental risks through weighted summation. This multi-factor comprehensive assessment can effectively avoid the one-sidedness caused by a single factor and ensure the comprehensiveness and accuracy of the risk assessment results. Among them, the landslide risk factor can reflect the geological stability of the mining area, especially the risk of soil or rock sliding caused by mining activities; the water pollution risk factor takes into account the water pollution caused by mining (such as heavy metal dissolution, chemical pollutant inflow, etc.), which is crucial for water resource protection; and the land subsidence risk factor, mining causes surface subsidence or geological structure changes, affecting the surrounding environment and human activities. The integral calculation in the formula not only considers the risk value of each factor, but also introduces the attenuation coefficient in spatial position, that is, the risk in spatial position has a certain spatial attenuation, so that the risk of each location can be assessed more accurately and avoid overly simple point evaluation. The spatial risk attenuation coefficient reflects the decreasing risk impact as the distance from the reference point increases. This spatial factor can ensure that the environmental risk assessment results are closer to reality. Taking into account the impact of geographical distribution on risk, the contribution of various risk factors to the comprehensive risk assessment is further adjusted. This weighted design can dynamically adjust the importance of each risk factor according to the actual situation of different mines, and finally obtain the corresponding mine geological structure environmental risk score at each spatial location node.

[0058] Step S32: performing risk equal-value clustering on the three-dimensional spatial model of the mine geological structure distribution based on the mine geological structure environmental risk score corresponding to each spatial position node, so as to generate each mine geological structure environmental risk equal-value distribution area; In an embodiment of the present invention, the mine geological structure environmental risk score of each spatial position node is analyzed, and the mine geological structure is divided into equal values ​​by a clustering algorithm. The specific operation is to group all nodes according to their environmental risk scores and generate contour lines. Common clustering algorithms such as K-means, DBSCAN or hierarchical clustering method are selected to process the algorithm that best suits the characteristics of the mine geological environment. First, the node risk score calculated is used to divide different risk level areas through cluster analysis, such as high risk areas (85-100 points), medium risk areas (45-84) and low risk areas (0-44). In actual operation, the spatial position data is processed and displayed through a GIS system to form an iso-distribution map of the mine geological structure environmental risk. Each contour line represents a different risk level, and each level area corresponds to a specific environmental risk level. Finally, the iso-distribution area of ​​each mine geological structure environmental risk is divided.

[0059] Step S33: Obtain the corresponding mine geological risk weight value through each mine geological structure environmental risk equal distribution area; In an embodiment of the present invention, the mine geological risk weight value of each equivalent area is determined according to the division result of the mine geological structure environmental risk equivalent distribution area. In this process, the weight of each equivalent area must first be set according to the specific situation of the mine area and the influence degree of each risk factor. Different areas of the mine face different types of geological risks. For example, areas with frequent landslides are given a larger weight for landslide risk factors, while areas with serious pollution are given a larger weight for water pollution risk factors. The weight value is determined based on historical data, geological exploration reports and expert experience. After sufficient verification, corresponding risk weight values ​​are assigned to each equivalent area in the GIS system. These weight values ​​represent the environmental risk intensity of each area, reflecting the degree of influence of the area on the mine geological environment, and finally the corresponding mine geological risk weight value is obtained.

[0060] Step S34: Based on the mine geological risk weight values ​​corresponding to the equal distribution areas of each mine geological structure environmental risk, a comprehensive environmental risk evaluation and analysis is performed on the corresponding mine geological structure distribution three-dimensional spatial model to obtain a comprehensive mine geological environmental risk score.

[0061] In an embodiment of the present invention, a comprehensive risk assessment of the mine geological environment is performed based on the mine geological structure environmental risk equal distribution area and the corresponding mine geological risk weight value. The specific operation is to combine the risk weight of each area with the mine environmental risk score of each node in the area to calculate the comprehensive environmental risk score of each area. The score is a quantitative result of the overall environmental risk of each mine area. In the comprehensive evaluation and analysis process, the risk score is processed using a weighted average method or a multi-factor evaluation model. The analysis can be automatically calculated through geographic information system software, and the comprehensive risk score of each area is displayed in a color map or a digital model to clarify the environmental risk level of different mining areas, and provide a scientific mine geological environment risk assessment result, and finally obtain a comprehensive mine geological environment risk score.

[0062] Furthermore, the present invention also provides a mine geological environment comprehensive evaluation system for executing the mine geological environment comprehensive evaluation method as described above, and the mine geological environment comprehensive evaluation system comprises: The mine geological environment data time series synchronization module is used to obtain mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, and perform time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, so as to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range; The mine spatial site risk factor analysis module is used to obtain mine geological structure exploration data, and to perform three-dimensional spatial structure modeling based on the mine geological structure exploration data to generate a three-dimensional spatial model of mine geological structure distribution; based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological conditions data in the same time series range, the three-dimensional spatial model of mine geological structure distribution is used to monitor the environmental risk factors of each site, so as to obtain the corresponding mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor under each spatial position node; The mine geological environment risk comprehensive evaluation module is used to conduct a comprehensive environmental risk evaluation and analysis on the three-dimensional spatial model of mine geological structure distribution based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial location node, so as to obtain a comprehensive score of mine geological environment risk; The mine geological environment risk management module is used to conduct environmental risk management analysis on the three-dimensional spatial model of mine geological structure distribution based on the comprehensive mine geological environment risk score, generate mine geological environment risk management decision recommendations, and implement the corresponding mine geological environment risk level management decision governance plan.

[0063] Furthermore, the present invention also provides a computer storage medium on which a computer program is stored, and when the computer program is executed, the above-mentioned comprehensive evaluation method for the mining geological environment is implemented.

[0064] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A comprehensive evaluation method for mine geological environment, characterized in that: The following steps are involved: Step S1: obtaining the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, and performing time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range; Step S2: obtaining the mine geological structure exploration data, and performing three-dimensional spatial structure modeling based on the mine geological structure exploration data to generate a three-dimensional spatial model of the mine geological structure distribution; monitoring the environmental risk factors of each point in the three-dimensional spatial model of the mine geological structure distribution based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data in the same time series range, and obtaining the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial position node; Step S3: Based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial location node, a comprehensive environmental risk evaluation and analysis is performed on the three-dimensional spatial model of mine geological structure distribution to obtain a comprehensive score of mine geological environmental risk; Step S4: Based on the comprehensive score of mine geological environmental risk, an environmental risk management analysis is performed on the three-dimensional spatial model of mine geological structure distribution to generate mine geological environmental risk management decision recommendations to implement the corresponding mine geological environmental risk level management decision governance plan.

2. The method for comprehensive evaluation of mine geological environment according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: obtaining mine ore content data; Step S12: obtaining groundwater level data; Step S13: obtaining soil pH data; Step S14: obtaining geological and meteorological condition data of the mine, including precipitation in the mine area, temperature in the mine area, and humidity in the mine area; Step S15: Perform time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range.

3. The comprehensive evaluation method for mine geological environment according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: Acquire mining geological structure exploration data, including mining geological structure distribution, mining rock layer distribution and mining ore body reserve distribution; Step S22: Perform three-dimensional spatial structure modeling according to the mine geological structure exploration data to generate a three-dimensional spatial model of the mine geological structure distribution; perform spatial mapping of geological environment changes on the three-dimensional spatial model of the mine geological structure distribution based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range to generate a spatial distribution model of the mine geological structure environment changes; Step S23: performing landslide risk assessment analysis on the ore content and mine geological meteorological conditions corresponding to each spatial position node in the spatial distribution model of mine geological structure environment change, and obtaining the mine environmental landslide risk factor corresponding to each spatial position node; Step S24: Perform water pollution risk assessment and analysis on the groundwater level and soil pH corresponding to each spatial location node in the spatial distribution model of mine geological structure environment change, and obtain the mine water pollution risk factor corresponding to each spatial location node; Step S25: Conduct ore body subsidence risk assessment and analysis on the ore content and soil pH corresponding to each spatial location node in the spatial distribution model of mine geological structure environment changes, and obtain the mine land subsidence risk factor corresponding to each spatial location node.

4. The method for comprehensive evaluation of mine geological environment according to claim 3, characterized in that: Step S23 includes the following steps: Step S231: finely divide the spatial grid nodes of the spatial distribution model of the mine geological structure environment change to generate each mine geological structure environment spatial grid position node; Step S232: obtaining the corresponding ore content and mine geological meteorological conditions through each mine geological structure environment spatial grid position node, and performing a time series response coupling analysis according to the ore content and mine geological meteorological conditions corresponding to each spatial position node to generate a time series dynamic response distribution field between mine geological ore content and meteorological conditions; Step S233: Based on the time-series dynamic response distribution field between the mine geological ore content and the meteorological conditions, the corresponding spatial position nodes in the mine geological structure environment change spatial distribution model are subjected to ore stress analysis to generate the rock mass change stress of the mine geological ore at the corresponding meteorological conditions at each spatial position node; the ore rock mass stability analysis is performed according to the rock mass change stress of the mine geological ore at the corresponding meteorological conditions at each spatial position node to obtain the corresponding mine geological ore rock mass stability index at each spatial position node; Step S234: Based on the mine geological ore rock mass stability index corresponding to each spatial position node, a spatial landslide potential probability assessment analysis is performed on the corresponding spatial position node in the mine geological structure environment change spatial distribution model to obtain the mine geological spatial landslide potential probability corresponding to each spatial position node; Step S235: According to the potential probability of landslide in the mine geology space corresponding to each spatial location node, landslide risk assessment analysis is performed on the corresponding spatial location nodes in the spatial distribution model of the mine geological structure environment change to obtain the mine environment landslide risk factor corresponding to each spatial location node.

5. The method for comprehensive evaluation of mine geological environment according to claim 4, characterized in that: Step S232 includes the following steps: Conduct time series change analysis on the ore content and mine geological and meteorological conditions corresponding to each spatial location node, and obtain the time series of ore content and meteorological conditions corresponding to each spatial location node; Perform time-varying statistical analysis on the time-varying sequence of ore content and meteorological conditions corresponding to each spatial location node, and obtain the time-varying response characteristics between the ore content and meteorological conditions corresponding to each spatial location node; The spatial difference evaluation and analysis of the ore content time variation series and meteorological condition time variation series corresponding to each spatial location node are performed to obtain the spatial distribution difference between the ore content and meteorological conditions corresponding to each spatial location node; Based on the time-varying response characteristics and spatial distribution differences between the ore content and meteorological conditions at each spatial location node, the corresponding ore content time variation series and meteorological condition time variation series are subjected to time series response coupling analysis to generate the time series dynamic response distribution field between the mine geological ore content and meteorological conditions.

6. The method for comprehensive evaluation of mine geological environment according to claim 3, characterized in that: Step S24 includes the following steps: Step S241: obtaining the groundwater level and soil pH corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change; Step S242: Based on the groundwater level and soil pH corresponding to each spatial location node, the spatial location node corresponding to the spatial distribution model of the mine geological structure environment change is analyzed to generate the spatial distribution of the groundwater level in the mining area and the spatial distribution of the soil pH in the mining area corresponding to each spatial location node; Step S243: performing groundwater pollution sensitivity analysis according to the spatial distribution of groundwater levels in the mining area and the spatial distribution of soil pH in the mining area corresponding to each spatial location node, and obtaining the probability of groundwater pollution sensitivity in the mining area corresponding to each spatial location node; Step S244: Based on the pollution sensitivity probability of underground water quality in the mining area corresponding to each spatial location node, a water pollution risk assessment analysis is performed on the corresponding spatial location nodes in the spatial distribution model of the mine geological structure environment change to obtain the mine water pollution risk factor corresponding to each spatial location node.

7. The method for comprehensive evaluation of mine geological environment according to claim 3, characterized in that: Step S25 includes the following steps: Step S251: performing spatial distribution quantitative analysis on the ore content corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change, and obtaining the spatial distribution of the mine geological ore content corresponding to each spatial position node; Step S252: quantifying the ore body soil settlement sensitivity of the spatial distribution of the mine geological ore content corresponding to each spatial position node based on the soil pH corresponding to each spatial position node in the spatial distribution model of the mine geological structure environment change, so as to obtain the mine geological soil settlement sensitivity probability corresponding to each spatial position node; Step S253: performing settlement potential prediction analysis on the corresponding spatial position nodes in the spatial distribution model of the mine geological structure environment change based on the mine geological soil settlement sensitivity probability corresponding to each spatial position node, and obtaining the mine geological soil settlement prediction potential corresponding to each spatial position node; Step S254: Based on the mine geological soil subsidence prediction potential corresponding to each spatial position node, an ore body subsidence risk assessment analysis is performed on the corresponding spatial position nodes in the mine geological structure environment change spatial distribution model to obtain the mine land subsidence risk factor corresponding to each spatial position node.

8. The method for comprehensive evaluation of mine geological environment according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: performing environmental risk assessment calculation on the three-dimensional spatial model of mine geological structure distribution based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial position node, and obtaining the mine geological structure environmental risk score corresponding to each spatial position node; Step S32: performing risk equal-value clustering on the three-dimensional spatial model of the mine geological structure distribution based on the mine geological structure environmental risk score corresponding to each spatial position node, so as to generate each mine geological structure environmental risk equal-value distribution area; Step S33: Obtain the corresponding mine geological risk weight value through each mine geological structure environmental risk equal distribution area; Step S34: Based on the mine geological risk weight values ​​corresponding to the equal distribution areas of each mine geological structure environmental risk, a comprehensive environmental risk evaluation and analysis is performed on the corresponding mine geological structure distribution three-dimensional spatial model to obtain a comprehensive mine geological environmental risk score.

9. A comprehensive evaluation system for mine geological environment, characterized in that: Used to execute the mine geological environment comprehensive evaluation method as claimed in claim 1, the mine geological environment comprehensive evaluation system comprises: The mine geological environment data time series synchronization module is used to obtain mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, and perform time series synchronization processing on the mine ore content data, groundwater level data, soil pH data and mine geological meteorological condition data, so as to obtain the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological condition data within the same time series range; The mine spatial site risk factor analysis module is used to obtain mine geological structure exploration data, and to perform three-dimensional spatial structure modeling based on the mine geological structure exploration data to generate a three-dimensional spatial model of mine geological structure distribution; based on the corresponding ore content data, groundwater level data, soil pH data and mine geological meteorological conditions data in the same time series range, the three-dimensional spatial model of mine geological structure distribution is used to monitor the environmental risk factors of each site, so as to obtain the corresponding mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor under each spatial position node; The mine geological environment risk comprehensive evaluation module is used to conduct a comprehensive environmental risk evaluation and analysis on the three-dimensional spatial model of mine geological structure distribution based on the mine environmental landslide risk factor, mine water pollution risk factor and mine land subsidence risk factor corresponding to each spatial location node, so as to obtain a comprehensive score of mine geological environment risk; The mine geological environment risk management module is used to conduct environmental risk management analysis on the three-dimensional spatial model of mine geological structure distribution based on the comprehensive mine geological environment risk score, generate mine geological environment risk management decision recommendations, and implement the corresponding mine geological environment risk level management decision governance plan.

Images