Geological exploration safety monitoring and early warning method and system

Abstract

The invention relates to the technical field of geological exploration, in particular to a geological exploration safety monitoring and early warning method and system, and the method comprises the following steps: carrying out the exploration region division based on a geological exploration data set, carrying out the risk assessment and density assignment of geological units in combination with the risk degree, and generating a geological risk density map. According to the method, through geological risk assessment and density assignment, exploration area division and risk assessment, and in combination with risk level judgment of geological units, safety monitoring and early warning in the geological exploration process are more refined and scientific, and by means of stress analysis simulation and terrain sensitivity analysis, the safety of the geological exploration process is improved. According to the geological disaster early warning method, the stress response of the geological unit under natural and artificial loads is revealed, the capability of identifying risk points and sensitive areas in an exploration area is improved, early warning is carried out on geological disasters in the early stage, the real-time performance and pertinence of geological disaster early warning are optimized, and losses caused by the geological disasters are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of geological exploration, and in particular to a geological exploration safety monitoring and early warning method and system. Background Art

[0002] The field of geological exploration technology aims to explore and evaluate the earth's resources, including the study of mineral resources, energy, water resources, and geological environmental conditions. Through drilling, seismic exploration, geophysical and geochemical methods, it reveals the underground structure, composition, and material distribution, and provides important scientific data and decision-making support for resource development, urban planning, environmental protection, and disaster prevention. By combining remote sensing technology, geographic information systems, and big data analysis, the accuracy and efficiency of exploration can be improved.

[0003] Among them, the geological exploration safety monitoring and early warning method, through the use of modern technical means to conduct real-time monitoring and analysis of safety risks in the exploration area, aims to prevent the potential threat of geological disasters to exploration activities, and through timely risk identification and early warning, ensure the safety of exploration personnel and equipment, reduce economic losses, improve the safety management level of geological exploration, reduce the risks caused by geological disasters, and protect the sustainable development of the environment and society.

[0004] Traditional geological exploration technology relies on macro geological data and empirical judgment, lacks the ability to capture subtle geological changes and dynamic assessment of risks, resulting in the neglect of hidden risk points in actual exploration, increasing the uncertainty and safety hazards of the exploration process, and making it difficult to accurately determine the risk distribution within the exploration area, resulting in insufficient early warning of potential geological disasters, causing great economic losses and personal injuries when geological disasters occur. It also lacks flexibility in resource allocation and exploration strategy adjustment, and is unable to respond to changes in geological conditions in a timely manner, affecting exploration efficiency and safety. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a geological exploration safety monitoring and early warning method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme, a geological exploration safety monitoring and early warning method, comprising the following steps: S1: Based on the geological exploration data set, the exploration area is divided, and the risk assessment and density assignment of geological units are carried out in combination with the risk degree to generate a geological risk density map; S2: using the geological risk density map, simulating and analyzing the stress conditions of the survey area, identifying and recording the stress responses of multiple geological units, and generating a stress concentration analysis map; S3: Based on the stress concentration analysis diagram, analyze the balance point between safety and efficiency in the survey area, adjust the geological survey strategy and resource allocation, match the geological conditions and expected goals, and generate a safety boundary division result; S4: Based on the safety boundary demarcation result, terrain geometric characteristics analysis is performed, geometric deformation indicators inside the survey area are calculated, deformation sensitive areas are identified, and characteristic information of terrain sensitive areas is generated; S5: Based on the characteristic information of the terrain sensitive area, track and analyze the direction of the surface deformation path, record the deformation speed and diffusion range, and generate the surface deformation path analysis result; S6: Based on the safety boundary demarcation results and the surface deformation path analysis results, combined with the activity level and risk level of the deformation area, adjust the response parameters of the early warning system, refer to the changing trend of deformation speed and range, adjust the warning level, and form geological disaster early warning information.

[0007] As a further solution of the present invention, the geological risk density map includes regional risk level information, density value distribution information and potential danger area positioning, the stress concentration analysis map specifically includes high stress value areas, stress distribution ranges and potential rupture clues, the safety boundary division results include adjusted exploration paths, resource reallocation plans and risk minimization areas, the terrain sensitive area characteristic information includes deformation sensitivity indicators, risk geological units and warning focus areas, the surface deformation path analysis results specifically include deformation velocity maps, diffusion range estimates and risk warning paths, and the geological disaster warning information includes dynamic warning level adjustment results, warning information update mechanisms and risk monitoring area mapping information.

[0008] As a further solution of the present invention, based on the geological exploration data set, the exploration area is divided, and the risk assessment and density assignment of the geological units are carried out in combination with the risk degree. The steps of generating the geological risk density map are specifically as follows: S101: Based on the geological exploration data set, the geographic coordinates and key geological characteristics of multiple geological units, including rock types and stratigraphic ages, are collected to generate geographic location information; S102: using the geographic location information, evaluating risk factors of geological units, including fault activity frequency and past landslide events, evaluating geological risk scores for multiple geological units, and generating risk level scores; S103: Analyze the impact of geological parameters on risk distribution according to the risk level score, identify the distribution characteristics of risk areas, including risk concentration areas, risk density, and geological sensitivity, and generate a geological risk density map.

[0009] As a further solution of the present invention, the geological risk density map is used to simulate and analyze the stress conditions of the exploration area, and the stress responses of multiple geological units are identified and recorded. The steps of generating a stress concentration analysis map are specifically as follows: S201: Based on the geological risk density map, the Drucker-Prager criterion is used to simulate the stress response of geological units under natural and artificial loads, analyze the stress response of various geological units under the same load conditions, and generate stress response analysis results; The Drucker-Prager Criteria, according to the formula: , Calculate the mechanical response of geological units under various loads, including: is the criterion function, is the square root of the second invariant of the deviatoric stress tensor, is the first invariant of the stress tensor, is the material constant, is the material constant, The pore water pressure The associated weight coefficient, is the stress history influence coefficient The associated weight coefficient, is the temperature influence coefficient The associated weight coefficient, is the pore water pressure, is the stress history influence coefficient, is the temperature influence coefficient; S202: Analyze the stress pattern and rupture risk of the target area through the stress response analysis results, identify risk vulnerable points of geological units, including active fault zones and historical landslide-prone areas, and generate a distribution map of geological risk sensitive points; S203: Using the geological risk sensitive point distribution map, adjust and optimize the stress simulation parameters, analyze the actual stress conditions of the geological units, identify the changes in the stress mode of the geological structure, evaluate the response behavior of the geological units under various conditions, and generate a stress concentration analysis diagram.

[0010] As a further solution of the present invention, based on the stress concentration analysis diagram, the safety and efficiency balance point of the exploration area is analyzed, the geological exploration strategy and resource allocation are adjusted, the geological conditions and expected goals are matched, and the steps of generating the safety boundary division result are specifically as follows: S301: Based on the stress concentration analysis diagram, identifying areas showing differences in stress patterns due to geological structure complexity and known geological activities, analyzing the non-uniformity of stratum stress distribution, and generating stress pattern difference identification information; S302: Matching action plans and exploration resources according to the force pattern difference identification information, including shifting the exploration focus to units with signs of geological activity, adjusting the exploration technology to match the needs of the geological units, and generating an exploration resource allocation plan; S303: Based on the exploration resource allocation plan, the actual implementation plan of the exploration operation is verified and adjusted, including changing the location of the drilling point, adding geological radar scanning, optimizing the exploration efficiency and safety, and generating a safety boundary demarcation result.

[0011] As a further solution of the present invention, based on the safety boundary demarcation result, terrain geometric characteristic analysis is performed, geometric deformation indexes inside the survey area are calculated, deformation sensitive areas are identified, and the steps of generating terrain sensitive area feature information are specifically as follows: S401: Analyze the terrain and geological structure using the safety boundary demarcation result, identify areas with large slope changes and abnormal curvature, and generate terrain sensitivity analysis results; S402: Analyze the key geometric deformation indicators that affect the stability of the geological unit through the terrain sensitivity analysis results, including the terrain height change rate of the geological unit area and the position relationship with the adjacent geological units, and generate a summary table of key geometric deformation indicators; S403: Based on the summary table of key geometric deformation indicators, identify geological disaster risk areas, including slope instability areas, groundwater level high change areas, fault activity areas, and soft soil areas, and generate characteristic information of terrain sensitive areas.

[0012] As a further solution of the present invention, based on the characteristic information of the terrain sensitive area, the steps of tracking and directional analysis of the surface deformation path, recording the deformation speed and diffusion range, and generating the surface deformation path analysis result are specifically as follows: S501: Based on the characteristic information of the terrain sensitive area, analyzing the surface data of the geological unit, identifying surface cracks and subsidence phenomena, recording the location and range of the target phenomenon, and generating surface crack and subsidence identification information; S502: Analyze the expansion direction and speed of the surface cracks and subsidence areas through the surface crack and subsidence identification information, identify the deformation dynamics of the target phenomenon area, and generate deformation trend analysis results; S503: According to the deformation trend analysis result, by comparing the deformation speeds and diffusion spatial ranges of multiple regions, active deformation regions are identified, and surface deformation path analysis results are generated.

[0013] As a further solution of the present invention, based on the safety boundary demarcation results and the surface deformation path analysis results, combined with the activity level and risk level of the deformation area, the response parameters of the early warning system are adjusted, and the early warning level is adjusted with reference to the changing trend of the deformation speed and range. The specific steps of forming geological disaster early warning information are as follows: S601: Based on the safety boundary demarcation result and the surface deformation path analysis result, the terrain active area in the model is analyzed to identify the area where the deformation speed is accelerated and the impact range is expanded due to geological activities, and generate active geological area identification results; S602: using the active geological area identification result, analyzing the deformation speed and diffusion range of multiple frequent points, identifying the risk areas that need urgent attention by performing spatial analysis on the deformation data, and generating deformation diffusion warning information; S603: Based on the deformation diffusion warning information, the impact of the deformation area on the adjacent environment is evaluated, and a warning level adjustment strategy is formulated in combination with the deformation activity and risk level, and the warning information is updated to form geological disaster warning information.

[0014] A geological exploration safety monitoring and early warning system, the geological exploration safety monitoring and early warning system is used to implement the geological exploration safety monitoring and early warning method, the system comprises: The risk assessment module is based on geological survey data sets, combined with geological characteristics and historical disaster data, to conduct risk assessment and density assignment for geological units and generate geological risk area division information; The stress analysis module analyzes the stress conditions and stress responses of geological units under natural and artificial loads based on the geological risk area division information and adopts the Drucker-Prager criterion to generate geological unit stress simulation information; The safety boundary optimization module analyzes the safety and efficiency balance point of the exploration area based on the stress simulation information of the geological unit, adjusts the geological exploration strategy and resource allocation, and generates regional boundary information; The terrain sensitivity analysis module calculates the geometric deformation index inside the survey area based on the area definition information, identifies deformation sensitive areas, and generates sensitive landform feature identification information; The warning information generation module tracks and analyzes the surface deformation path based on the sensitive geomorphic feature identification information, records the deformation speed and diffusion range, and adjusts the response parameters and warning level of the warning system in combination with the activity level and risk level of the deformation area to form geological disaster warning information.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by adopting geological risk assessment and density assignment, the exploration area is finely divided and risk assessed, combined with accurate risk level determination of geological units, so that safety monitoring and early warning in the geological exploration process are more refined and scientific, and stress analysis simulation and terrain sensitivity analysis are used to reveal the force response of geological units under natural and artificial loads, thereby improving the ability to identify risk points and sensitive areas in the exploration area, early warning of geological disasters, optimizing the real-time and pertinence of geological disaster warnings, reducing losses caused by geological disasters, and ensuring the effective use of exploration resources and the continuation of exploration activities. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the workflow of the present invention.

[0017] Figure 2 This is a detailed flow chart of S1 of the present invention.

[0018] Figure 3 This is a detailed flow chart of S2 of the present invention.

[0019] Figure 4 This is a detailed flow chart of S3 of the present invention.

[0020] Figure 5 This is a detailed flow chart of S4 of the present invention.

[0021] Figure 6 This is a detailed flow chart of S5 of the present invention.

[0022] Figure 7 This is a detailed flow chart of S6 of the present invention.

[0023] Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0025] Example 1: Please refer to Figure 1 The present invention provides a technical solution, a geological exploration safety monitoring and early warning method, comprising the following steps: S1: Based on the geological exploration data set, the exploration area is divided, and the risk assessment and density assignment of geological units are carried out in combination with the risk degree to generate a geological risk density map; S2: Using the geological risk density map, simulate and analyze the stress conditions in the survey area, identify and record the stress responses of multiple geological units, and generate a stress concentration analysis map; S3: Based on the stress concentration analysis diagram, analyze the balance point between safety and efficiency in the exploration area, adjust the geological exploration strategy and resource allocation, match the geological conditions and expected goals, and generate the safety boundary division results; S4: Based on the safety boundary demarcation results, terrain geometric characteristics analysis is performed, geometric deformation indicators inside the survey area are calculated, deformation sensitive areas are identified, and characteristic information of terrain sensitive areas is generated; S5: Based on the characteristic information of the terrain sensitive area, track and analyze the direction of the surface deformation path, record the deformation speed and diffusion range, and generate the surface deformation path analysis results; S6: Based on the results of safety boundary demarcation and surface deformation path analysis, combined with the activity level and risk level of the deformation area, adjust the response parameters of the early warning system, refer to the changing trend of deformation speed and range, adjust the warning level, and form geological disaster warning information.

[0026] The geological risk density map includes regional risk level information, density value distribution information and potential danger area location. The stress concentration analysis map specifically includes high stress value areas, stress distribution range and potential rupture clues. The safety boundary demarcation results include adjusted exploration paths, resource reallocation plans and risk minimization areas. The characteristic information of terrain sensitive areas includes deformation sensitivity indicators, risk geological units and warning focus areas. The surface deformation path analysis results are specifically deformation velocity maps, diffusion range estimates and risk warning paths. The geological disaster warning information includes dynamic warning level adjustment results, warning information update mechanism and risk monitoring area mapping information.

[0027] See also Figure 2 Based on the geological exploration data set, the exploration area is divided, and the risk assessment and density assignment of geological units are carried out in combination with the risk degree. The specific steps for generating the geological risk density map are as follows: S101: Based on the geological exploration data set, the geographic coordinates and key geological characteristics of multiple geological units, including rock types and stratigraphic ages, are collected, and the specific process of generating geographic location information is as follows; In sub-step S101, based on the geological exploration data set, geographic information system technology is used to input the geographic coordinate data of the geological unit through ArcGIS software, and spatial analysis tools are used to extract rock type and stratigraphic geological characteristic information. The geographic location and key geological characteristics of each geological unit are coded and labeled, and the database management system is used to store the information to generate a geographic location information database.

[0028] S102: Using geographic location information, assessing risk factors of geological units, including fault activity frequency, past landslide events, assessing geological risk scores for multiple geological units, and generating risk level scores, the specific process is as follows; In sub-step S102, based on the geographic location information database, statistical analysis methods are used to process data through the Python programming language combined with the Pandas library to quantitatively evaluate the fault activity frequency of the geological unit and the risk factors of past landslide events. The logistic regression model is used to analyze the contribution of various factors to geological risks, calculate the comprehensive risk score for the geological unit, and generate a risk level score table.

[0029] S103: According to the risk level score, the influence of geological parameters on risk distribution is analyzed, and the distribution characteristics of risk areas are identified, including risk concentration areas, risk density, and geological sensitivity. The specific process of generating a geological risk density map is as follows; In sub-step S103, based on the risk level scoring table, using geospatial analysis technology, spatial clustering analysis is performed through QGIS software to identify risk concentration areas and risk concentrations. At the same time, geological parameters, including rock hardness and terrain inclination, are applied to conduct geological sensitivity analysis. With comprehensive reference to the above factors, SQL query and spatial data visualization technology are used to generate a geological risk density distribution map.

[0030] See also Figure 3 , using the geological risk density map, simulate and analyze the stress conditions in the exploration area, identify and record the stress responses of multiple geological units, and generate the stress concentration analysis map in the following steps: S201: Based on the geological risk density map, the Drucker-Prager criterion is used to simulate the stress response of geological units under natural and artificial loads, analyze the stress response of various geological units under the same load conditions, and generate the stress response analysis results. The specific process is as follows; In sub-step S201, based on the geological risk density distribution map, the Drucker-Prager criterion is used to simulate the stress response of geological units to natural and artificial loads, set up grid division for precise calculation, compare the stress differences of differentiated geological units under the same load conditions, record the stress data, and generate stress response analysis results.

[0031] Drucker-Prager Criteria, according to the formula:

[0032] Calculate the mechanical response of geological units under various loads, including: is the criterion function, which is used to judge whether the material has reached the failure state; is the square root of the second invariant of the deviatoric stress tensor, representing the shear stress state of the material; is the first invariant of the stress tensor, representing the normal stress state of the material; is the material constant, representing the compressibility of the material; is the material constant, representing the shear strength of the material; The pore water pressure The associated weight coefficient reflects the influence of pore water pressure on the fracture criterion; is the stress history influence coefficient The associated weight coefficient takes into account the influence of the material on its past loading history; is the temperature influence coefficient The associated weight coefficient reflects the effect of temperature change on the material stress response; is the pore water pressure, which indicates the influence of water content in the geological unit on the overall stress state; is the stress history influence coefficient, which indicates the influence of the internal structure change of the material due to the historical load on its current stress state; is the temperature influence coefficient, which takes into account the effect of temperature changes on the physical and chemical properties of the material.

[0033] The specific implementation process of the improved formula is as follows: Collect pore water pressure for each geological unit , stress history influence coefficient and temperature influence coefficient Data from experiments and geological surveys to obtain material constants and , combined with the laboratory test and field test data of geological materials, regression analysis was performed to determine , and The value reflects the physical and chemical properties of geological units under differentiated environmental conditions. The collected data are substituted into the improved Drucker-Prager criterion formula for calculation to evaluate the stress response of geological units under natural and artificial loads.

[0034] S202: Analyze the stress pattern and rupture risk of the target area through the stress response analysis results, identify the risk vulnerability points of the geological unit, including active fault zones and historical landslide-prone areas, and generate a distribution map of geological risk sensitive points. In sub-step S202, through the stress response analysis results, data analysis technology is applied, and the Matplotlib library is combined to visualize the stress pattern, analyze the stress conditions and rupture risks of differentiated geological units in the target area, focus on the stress data of active fault zones and historical landslide-prone areas, identify abnormal geological units as geological risk sensitive points, and generate a distribution map of geological risk sensitive points.

[0035] S203: Using the distribution map of geological risk sensitive points, adjusting and optimizing the stress simulation parameters, analyzing the actual stress conditions of the geological units, identifying the changes in the stress mode of the geological structure, evaluating the response behavior of the geological units under various conditions, and generating the stress concentration analysis diagram, the specific process is as follows; In sub-step S203, the distribution map of geological risk sensitive points is used, parameter optimization technology is adopted, and the stress simulation parameters, including material properties and loading conditions, are adjusted through MATLAB software. The actual stress conditions are compared with the simulation results, the changes in the stress mode of the geological structure after parameter adjustment are identified, the response behavior of the geological units under differentiated conditions is evaluated, the model accuracy is optimized, and the stress concentration analysis diagram is generated.

[0036] See also Figure 4 , based on the stress concentration analysis diagram, analyze the balance point between safety and efficiency in the exploration area, adjust the geological exploration strategy and resource allocation, match the geological conditions and expected goals, and generate the safety boundary division results in the following steps: S301: Based on the stress concentration analysis diagram, identify the area showing stress mode differences due to the complexity of geological structure and known geological activities, analyze the non-uniformity of stratum stress distribution, and generate stress mode difference identification information in detail; In sub-step S301, based on the stress concentration analysis diagram, the geological structure analysis software GeoStudio is used to simulate the complex geological structure. The geological activity data, including the fault location and landslide history records, are input. The stratigraphic analysis module is called to calculate the stratigraphic stress distribution. By comparing the stress responses of multiple strata, areas with significant differences in stress patterns are identified. The simulation accuracy is adjusted considering rock type and stratigraphic age parameters to ensure the accuracy of the results and generate a force pattern difference identification diagram.

[0037] S302: According to the force pattern difference identification information, the action plan and exploration resources are matched, including shifting the exploration focus to units with signs of geological activity, adjusting the exploration technology to match the needs of the geological units, and generating the exploration resource allocation plan. The specific process is as follows; In sub-step S302, based on the force mode difference identification diagram, project management software including Microsoft Project is used, combined with the geological unit risk assessment results, to formulate an action plan, including adjusting the exploration focus to units showing signs of geological activity, using GIS software to analyze the degree of matching between geological units and exploration technologies, determining technical adjustment needs, including the selection of special drilling technologies suitable for risk areas, allocating necessary exploration resources to each geological unit, and generating an exploration resource allocation plan.

[0038] S303: Based on the exploration resource allocation plan, the actual implementation plan of the exploration operation is verified and adjusted, including changing the location of the drilling point, adding geological radar scanning, optimizing the exploration efficiency and safety, and generating the safety boundary demarcation result. In sub-step S303, based on the exploration resource allocation plan, the exploration operation management system, including DrillingInfo, tracks the progress of the exploration operation in real time. According to the geological radar scanning results and the actual geological conditions of the drilling point, the drilling point location and exploration method are dynamically adjusted, including increasing the borehole inclination angle or using more sensitive seismic detection equipment, to improve exploration efficiency and safety and generate safety boundary demarcation results.

[0039] See also Figure 5 , based on the safety boundary demarcation results, the terrain geometric characteristics are analyzed, the geometric deformation index inside the survey area is calculated, the deformation sensitive area is identified, and the steps of generating the characteristic information of the terrain sensitive area are as follows: S401: Using the safety boundary demarcation results, analyze the terrain and geological structure, identify areas with large slope changes and abnormal curvature, and generate terrain sensitivity analysis results. The specific process is as follows; In sub-step S401, the safety boundary demarcation results are used to analyze slope changes and curvature anomalies on the ArcGIS platform through the terrain analysis tool Digital ElevationModel. Combined with geological structure data, including rock layer inclination angles and fold types, the terrain and geological structure features that cause geological instability are identified, and terrain sensitivity analysis results are generated.

[0040] S402: Analyze the key geometric deformation indicators that affect the stability of the geological unit through the terrain sensitivity analysis results, including the terrain height change rate of the geological unit area and the position relationship with the adjacent geological units, and generate a summary table of key geometric deformation indicators. In sub-step S402, based on the results of terrain sensitivity analysis, geostatistical analysis methods, including spatial autocorrelation analysis, are used. In the R language environment, the geostatistical package gstat is applied to quantitatively analyze the terrain height change rate and the relative position with adjacent geological units, identify key geometric deformation indicators that affect the stability of geological units, and generate a summary table of key geometric deformation indicators.

[0041] S403: Based on the summary table of key geometric deformation indicators, the geological disaster risk areas are identified, including slope instability areas, groundwater level high change areas, fault activity areas, and soft soil areas, and the specific process of generating characteristic information of terrain sensitive areas is as follows; In sub-step S403, based on the comprehensive table of key geometric deformation indicators, the natural disaster risk assessment model is used, and the scikit-learn library is used in the Python environment to build a classification model. The geological disaster risk areas, including slope instability areas and fault activity areas, are predicted based on indicators such as slope stability and groundwater level fluctuations. The reliability of the assessment results is ensured through cross-validation, and the characteristic information of terrain sensitive areas is generated.

[0042] See also Figure 6 Based on the characteristic information of the terrain sensitive area, the surface deformation path is tracked and the direction is analyzed, the deformation speed and diffusion range are recorded, and the steps to generate the surface deformation path analysis results are as follows: S501: Based on the characteristic information of the terrain sensitive area, the surface data of the geological unit is analyzed, the surface cracks and subsidence phenomena are identified, the location and range of the target phenomenon are recorded, and the specific process of generating the surface crack and subsidence identification information is as follows; In sub-step S501, based on the characteristic information of terrain-sensitive areas, remote sensing image analysis technology is used. Through satellite images and aerial photography data, the image processing software ENVI is used to apply edge detection and image segmentation algorithms to identify surface cracks and subsidence phenomena. The geographical location is corrected in combination with GPS data. The geographical coordinates, length and width of each phenomenon are recorded in detail. The database system PostgreSQL is used to store surface anomaly information and generate a surface crack and subsidence database.

[0043] S502: Analyze the expansion direction and speed of the surface cracks and subsidence areas through the surface crack and subsidence identification information, identify the deformation dynamics of the target phenomenon area, and generate the deformation trend analysis results. The specific process is as follows; In sub-step S502, the surface crack and subsidence database is used to apply the time series analysis method, combined with historical surface data for trend analysis, and the Pandas and Numpy libraries in Python are used to calculate the expansion rate and direction of the crack and subsidence areas, and the changes at multiple time points are compared. The geographic information system technology is used to perform spatial analysis on the ArcGIS platform, and the expansion trend and direction are significantly marked to generate deformation trend analysis results.

[0044] S503: According to the deformation trend analysis results, by comparing the deformation speeds and diffusion spatial ranges of multiple regions, the active deformation area is identified, and the process of generating the surface deformation path analysis results is specifically as follows; In sub-step S503, based on the deformation trend analysis results, spatial statistical analysis methods are used to perform spatial interpolation and hot spot analysis in QGIS software to compare the deformation speed and spatial diffusion range of differentiated areas, identify active deformation areas with faster deformation speed and wider spatial diffusion range, focus on iterative monitoring and analysis of target areas, and generate active surface deformation area maps.

[0045] See also Figure 7 Based on the results of safety boundary demarcation and surface deformation path analysis, combined with the activity and risk level of the deformation area, the response parameters of the early warning system are adjusted, and the early warning level is adjusted with reference to the changing trend of deformation speed and range. The specific steps for forming geological disaster early warning information are as follows: S601: Based on the safety boundary demarcation results and the surface deformation path analysis results, the terrain active areas in the model are analyzed to identify areas where the deformation speed is accelerated and the impact range is expanded due to geological activities. The specific process of generating the active geological area identification results is as follows; In sub-step S601, based on the safety boundary demarcation results and the surface deformation path analysis results, the structural geological analysis method is used to analyze the geological structure of the active terrain area through the software package GEO5, identify the deformation acceleration areas caused by geological activities, including fault movement or hydrological changes, and comprehensively refer to the rock type and stratigraphic structure of the geological unit on the deformation speed and the scope of influence to generate the active geological area identification results.

[0046] S602: Using the results of active geological area identification, analyzing the deformation speed and diffusion range of multiple frequent points, identifying the risk areas that need urgent attention through spatial analysis of deformation data, and generating deformation diffusion warning information. The specific process is as follows; In sub-step S602, the results of active geological area identification are used in combination with the geographic information system for advanced spatial analysis to identify frequent points with high deformation speed and wide diffusion range. The spatial clustering phenomenon is identified through the spatial analysis tool spatial autocorrelation, and the risk areas that require urgent attention are determined. The potential risk level of the target area is evaluated using geostatistical methods to generate deformation diffusion warning information.

[0047] S603: Based on the deformation diffusion warning information, evaluate the impact of the deformation area on the adjacent environment, formulate a warning level adjustment strategy based on the deformation activity and risk level, update the warning information, and form the geological disaster warning information. The specific process is as follows; In sub-step S603, based on the deformation diffusion warning information and combined with the geological disaster risk assessment model, the risk assessment package riskr is applied in the R language environment to evaluate the potential impact of the deformation area on the adjacent environment, analyze the deformation activity and risk level, and adjust the warning level through the decision support system according to the assessment results to ensure the accuracy and timeliness of the warning information, update the warning system database, and form geological disaster warning information.

[0048] Example 2: Please refer to Figure 8 A geological exploration safety monitoring and early warning system is provided, and the geological exploration safety monitoring and early warning system is used to implement the above geological exploration safety monitoring and early warning method, and the system includes: The risk assessment module is based on geological survey data sets, combined with geological characteristics and historical disaster data, to conduct risk assessment and density assignment for geological units and generate geological risk area division information; The stress analysis module uses the Drucker-Prager criterion based on the geological risk area division information to analyze the stress conditions and stress responses of geological units under natural and artificial loads and generate geological unit stress simulation information; The safety boundary optimization module analyzes the balance between safety and efficiency of the exploration area based on the stress simulation information of geological units, adjusts the geological exploration strategy and resource allocation, and generates regional boundary information; The terrain sensitivity analysis module calculates the geometric deformation index inside the survey area based on the regional delimitation information, identifies deformation sensitive areas, and generates sensitive geomorphic feature identification information; The warning information generation module tracks and analyzes the path of surface deformation based on the identification information of sensitive geomorphic features, records the deformation speed and diffusion range, and adjusts the response parameters and warning level of the warning system in combination with the activity level and risk level of the deformation area to form geological disaster warning information.

[0049] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A geological exploration safety monitoring and early warning method, characterized in that: The following steps are involved: Based on the geological exploration data set, the exploration area is divided, and the risk assessment and density assignment of geological units are carried out according to the risk level to generate a geological risk density map; The geological risk density map is used to simulate and analyze the stress conditions of the survey area, identify and record the stress responses of multiple geological units, and generate a stress concentration analysis map; Based on the stress concentration analysis diagram, analyze the balance point between safety and efficiency in the exploration area, adjust the geological exploration strategy and resource allocation, match the geological conditions and expected goals, and generate a safety boundary division result; Based on the safety boundary demarcation results, terrain geometric characteristics analysis is performed, geometric deformation indicators inside the survey area are calculated, deformation sensitive areas are identified, and characteristic information of terrain sensitive areas is generated; Based on the characteristic information of the terrain sensitive area, the surface deformation path is tracked and the direction is analyzed, the deformation speed and diffusion range are recorded, and the surface deformation path analysis results are generated; Based on the safety boundary demarcation results and surface deformation path analysis results, combined with the activity level and risk level of the deformation area, the response parameters of the early warning system are adjusted, and the early warning level is adjusted with reference to the changing trend of deformation speed and range to form geological disaster early warning information.

2. The geological exploration safety monitoring and early warning method according to claim 1 is characterized in that The geological risk density map includes regional risk level information, density value distribution information and potential danger area positioning; the stress concentration analysis map specifically includes high stress value areas, stress distribution ranges and potential rupture clues; the safety boundary division results include adjusted exploration paths, resource reallocation plans and risk minimization areas; the terrain sensitive area feature information includes deformation sensitivity indicators, risk geological units and warning focus areas; the surface deformation path analysis results specifically include deformation velocity maps, diffusion range estimates and risk warning paths; the geological disaster warning information includes dynamic warning level adjustment results, warning information update mechanisms and risk monitoring area mapping information.

3. The geological exploration safety monitoring and early warning method according to claim 1 is characterized in that: Based on the geological exploration data set, the exploration area is divided, and the risk assessment and density assignment of geological units are carried out in combination with the risk degree. The specific steps for generating the geological risk density map are as follows: Based on geological survey data sets, the geographic coordinates and key geological characteristics of multiple geological units, including rock types and stratigraphic ages, are collected to generate geographic location information; Using the geographic location information, assess risk factors of geological units, including fault activity frequency, past landslide events, assess geological risk scores for multiple geological units, and generate risk level scores; Based on the risk level score, the impact of geological parameters on risk distribution is analyzed, the distribution characteristics of risk areas are identified, including risk concentration areas, risk density, and geological sensitivity, and a geological risk density map is generated.

4. The geological exploration safety monitoring and early warning method according to claim 1 is characterized in that: The steps of using the geological risk density map to simulate and analyze the stress conditions of the exploration area, identifying and recording the stress responses of multiple geological units, and generating a stress concentration analysis map are as follows: Based on the geological risk density map, the Drucker-Prager criterion is used to simulate the stress response of geological units under natural and artificial loads, analyze the stress response of various geological units under the same load conditions, and generate stress response analysis results; The Drucker-Prager Criteria, according to the formula: ， Calculate the mechanical response of geological units under various loads, including: is the criterion function, is the square root of the second invariant of the deviatoric stress tensor, is the first invariant of the stress tensor, is the material constant, is the material constant, The pore water pressure The associated weight coefficient, is the stress history influence coefficient The associated weight coefficient, is the temperature influence coefficient The associated weight coefficient, is the pore water pressure, is the stress history influence coefficient, is the temperature influence coefficient; Through the stress response analysis results, the stress pattern and rupture risk of the target area are analyzed, and the risk vulnerability points of the geological unit are identified, including active fault zones and historical landslide-prone areas, and a distribution map of geological risk sensitive points is generated; By using the distribution map of geological risk sensitive points, the stress simulation parameters are adjusted and optimized, the actual stress conditions of the geological units are analyzed, the changes in the stress mode of the geological structure are identified, the response behavior of the geological units under various conditions is evaluated, and the stress concentration analysis diagram is generated.

5. The geological exploration safety monitoring and early warning method according to claim 1 is characterized in that: Based on the stress concentration analysis diagram, the safety and efficiency balance point of the exploration area is analyzed, the geological exploration strategy and resource allocation are adjusted, the geological conditions and expected goals are matched, and the steps of generating the safety boundary division result are as follows: Based on the stress concentration analysis diagram, identifying areas showing differences in stress patterns due to geological structural complexity and known geological activities, analyzing the non-uniformity of stratum stress distribution, and generating stress pattern difference identification information; Matching action plans and exploration resources based on the force pattern difference identification information, including shifting the exploration focus to units with signs of geological activity, adjusting the exploration technology to match the needs of the geological units, and generating an exploration resource allocation plan; Based on the exploration resource allocation plan, the actual implementation plan of the exploration operation is verified and adjusted, including changing the location of the drilling point, adding geological radar scanning, optimizing the exploration efficiency and safety, and generating a safety boundary demarcation result.

6. The geological exploration safety monitoring and early warning method according to claim 1 is characterized in that: Based on the safety boundary demarcation result, the steps of analyzing the terrain geometric characteristics, calculating the geometric deformation index inside the survey area, identifying the deformation sensitive area, and generating the characteristic information of the terrain sensitive area are as follows: Using the safety boundary demarcation results, analyze the terrain and geological structure, identify areas with large slope changes and abnormal curvature, and generate terrain sensitivity analysis results; By using the terrain sensitivity analysis results, key geometric deformation indicators that affect the stability of the geological unit are analyzed, including the terrain height change rate of the geological unit area and the positional relationship with adjacent geological units, and a summary table of key geometric deformation indicators is generated; Based on the summary table of key geometric deformation indicators, geological disaster risk areas are identified, including slope instability areas, groundwater level high change areas, fault activity areas, and soft soil areas, and characteristic information of terrain sensitive areas is generated.

7. The geological exploration safety monitoring and early warning method according to claim 1 is characterized in that: Based on the characteristic information of the terrain sensitive area, the steps of tracking and directional analysis of the surface deformation path, recording the deformation speed and diffusion range, and generating the surface deformation path analysis result are as follows: Based on the characteristic information of the terrain sensitive area, analyzing the surface data of the geological unit, identifying surface cracks and subsidence phenomena, recording the location and range of the target phenomenon, and generating surface crack and subsidence identification information; By using the surface crack and subsidence identification information, the expansion direction and speed of the surface crack and subsidence area are analyzed, the deformation dynamics of the target phenomenon area are identified, and the deformation trend analysis results are generated; According to the deformation trend analysis results, by comparing the deformation speeds and spatial ranges of diffusion in multiple regions, active deformation areas are identified and surface deformation path analysis results are generated.

8. The geological exploration safety monitoring and early warning method according to claim 1 is characterized in that: Based on the safety boundary demarcation results and the surface deformation path analysis results, combined with the activity and risk level of the deformation area, the response parameters of the early warning system are adjusted, and the early warning level is adjusted with reference to the changing trend of the deformation speed and range. The specific steps for forming geological disaster early warning information are as follows: Based on the safety boundary demarcation results and the surface deformation path analysis results, the terrain active areas in the model are analyzed to identify areas where the deformation speed is accelerated and the impact range is expanded due to geological activities, and the active geological area identification results are generated; Using the active geological area identification results, the deformation speed and diffusion range of multiple frequent points are analyzed, and by performing spatial analysis on the deformation data, risk areas requiring urgent attention are identified, and deformation diffusion warning information is generated; Based on the deformation diffusion warning information, the impact of the deformation area on the adjacent environment is evaluated, and based on the deformation activity and risk level, a warning level adjustment strategy is formulated, the warning information is updated, and geological disaster warning information is formed.

9. A geological exploration safety monitoring and early warning system, characterized in that: A system constructed using the geological exploration safety monitoring and early warning method according to any one of claims 1 to 8, the system comprising: The risk assessment module is based on geological survey data sets, combined with geological characteristics and historical disaster data, to conduct risk assessment and density assignment for geological units and generate geological risk area division information; The stress analysis module analyzes the stress conditions and stress responses of geological units under natural and artificial loads based on the geological risk area division information and adopts the Drucker-Prager criterion to generate geological unit stress simulation information; The safety boundary optimization module analyzes the safety and efficiency balance point of the exploration area based on the stress simulation information of the geological unit, adjusts the geological exploration strategy and resource allocation, and generates regional boundary information; The terrain sensitivity analysis module calculates the geometric deformation index inside the survey area based on the area definition information, identifies deformation sensitive areas, and generates sensitive landform feature identification information; The warning information generation module tracks and analyzes the surface deformation path based on the sensitive geomorphic feature identification information, records the deformation speed and diffusion range, and adjusts the response parameters and warning level of the warning system in combination with the activity level and risk level of the deformation area to form geological disaster warning information.

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