120 results about "Soil mechanics" patented technology

The invention relates to the technical field of geotechnical mechanics and engineering, and particularly discloses a soft soil foundation settlement monitoring method and system based on multi-field multi-source information, and the method comprises the steps: collecting multi-source data of a target soft soil area; performing constitutive parameter inversion, data standardization and discrete Fourier transform frequency domain conversion on the data to obtain a standardized frequency domain multi-field multi-source data set; based on the data set, a soft soil constitutive parameter library and a soil mechanics physical equation, constructing an FD-PINN frequency domain physical information neural network, embedding the physical equation as a prior constraint, and training the model by adopting an alternating optimization strategy; inputting the real-time frequency domain data flow into the model, and outputting the current settlement amount, the settlement rate and the multi-physical field frequency domain distribution; and in combination with a pre-established large scale model test result, through IDFT inverse transformation, a time-space domain settlement field is reconstructed, multi-stage early warning is triggered, a targeted reinforcement scheme is recommended, the soft soil foundation settlement monitoring precision and the engineering practicability are remarkably improved, and the method is suitable for construction, operation and maintenance of infrastructures such as high-speed rails and highways.

The invention provides a lunar lava tube rock wall mechanical parameter testing device and method based on a rebound principle, and relates to the technical field of lunar rock-soil mechanics detection.The device comprises an ejection module, a driving module, an energy storage locking module, a control module and an impact measuring module which are arranged in a protective shell; the ejection module comprises an ejection body of a hollow cylinder structure, the ejection body is arranged in the center of the interior of the protective shell, the upper end face of the ejection body is connected with a clamping pin, a pair of lug stoppers are arranged on the outer walls of the lower portions of the two sides of the ejection body, and the lug stoppers are reset through first springs. The lower end face of the elastic striking body is connected with the upper end of the extension spring, the lower end of the extension spring is connected with the upper end of the striking end support, and the lower end face of the striking end support is connected with the upper end face of the striking rod. The problems that a traditional Schmidt hammer is poor in adaptability in the lunar environment, low in automation degree, ineffective in parameter measurement basis and the like are solved.

The invention provides a mine geological disaster early warning method and system based on digital twinning and electronic equipment, and relates to the technical field of geological disaster monitoring and early warning. The method comprises the following steps: constructing a digital twinborn model corresponding to a target mine based on multi-dimensional geological data and rock physical and mechanical parameters; collecting multi-source heterogeneous monitoring data of the target mine in real time, and mapping the multi-source heterogeneous monitoring data to corresponding grid nodes of the digital twinborn body based on the spatial coordinate relationship so as to update state attributes of the digital twinborn model in real time; according to the rock mass physical and mechanical parameters of the grid nodes and the updated state attributes, a slope stability coefficient is calculated through a rock and soil mechanical model; calculating a displacement predicted value based on historical time sequence characteristics of the multi-source heterogeneous monitoring data by using a data driving model; and carrying out fusion calculation on the slope stability coefficient and the displacement prediction value to obtain a comprehensive early warning index, and when the comprehensive early warning index meets a preset geological disaster alarm condition, rendering a risk area in the digital twinborn body.

The invention discloses a multi-parameter shallow gas detection method which comprises the following steps: S1, self-adaptive sensing network layout and multi-parameter synchronous acquisition: monitoring nodes synchronously acquire underground electrical parameters, soil gas composition and concentration, soil mechanics and pore pressure parameters and an environmental noise background value; accessing a hydro-meteorological data stream of the target area in real time; s2, multi-source interference signal identification and data purification: obtaining a purified multi-parameter data sequence reflecting real geological anomalies; s3, water-gas-force coupling dynamic modeling and migration simulation: outputting a shallow gas migration risk thermodynamic diagram; s4, intelligent diagnosis based on transfer learning and causal discovery: performing time sequence analysis on the purified multi-parameter data sequence, and identifying a gas reservoir core area, a dominant migration channel and dominant control factors influencing gas aggregation and migration; and S5, dynamic risk assessment and graded early warning: quantitatively calculating the risk probability.

The invention discloses a parameter prediction method and device, electronic equipment and a storage medium. According to the method and the device, the essential rule of a salt cavern gas storage system is described on the basis of a physical driving model; meanwhile, systematic errors, caused by parameter simplification, ignoring of shaft dynamic heat exchange and other effects, of a pure mechanism model are accurately learned and compensated by means of a data driving model, and advantage complementation is achieved through fusion of the two; the technical problem that systematic deviation is generated between model output and actual operation data due to the fact that rock and soil mechanical parameters are simplified, a fixed friction coefficient is adopted or a shaft dynamic heat exchange effect is ignored in an existing pure mechanism model under complex geological conditions can be solved. The technical effects of improving the accuracy and reliability of thermodynamic parameter prediction of the salt-cavern gas storage system, adapting to complex geological conditions and further guaranteeing stable operation of the compressed air energy storage system are achieved.

A multi-medium three-dimensional modeling and rock-soil mechanical response coupling method comprises the steps that a collapse risk assessment model is established according to time sequence evolution data of deformation accumulation, if the local deformation rate exceeds a preset threshold value, a high-risk area is judged, and if the deformation accumulation amount reaches a critical value, a potential collapse position is determined; constructing a spatial prediction model through the high-risk area and the potential collapse position information, and performing quantitative calculation on collapse probabilities of different areas by adopting a risk assessment algorithm to obtain a spatial distribution prediction result of karst collapse; and updating numerical model parameters by adopting spatio-temporal information output by the early warning mechanism, and optimizing and adjusting the prediction precision through a feedback correction mechanism to obtain a karst collapse prediction technical system adapted to complex geological conditions. According to the method, accurate prediction and early warning of the karst collapse are achieved in a data driving and model coupling mode, technical support is provided for prevention and treatment of the karst collapse under complex geological conditions, and the method has important practical value.

This invention relates to the field of geological disaster monitoring and distance sensor technology, specifically disclosing a real-time monitoring and early warning method for slope deformation based on interferometric radar images. The method includes: acquiring multi-time-series interferometric radar images and extracting high-precision surface deformation field sequences; constructing a physical information neural network model integrating the constitutive relations of rock and soil mechanics; using the deformation field as input to invert the internal stress, pore water pressure, and potential sliding surface of the slope in real time; determining the instability risk level based on preset thresholds and triggering a three-level early warning response mechanism to generate a visualized early warning report. This invention achieves highly timely and interpretable early warnings at the minute or even second level by deeply coupling millimeter-level deformation observation with physical constraints, thus improving the scientific rigor and reliability of slope disaster monitoring.

This invention discloses a method and system for inverting mechanical parameters and intelligently analyzing the stability of tunnel surrounding rock, relating to the field of intelligent construction technology for tunnels and underground engineering. The method includes: collecting tunnel monitoring and measurement data and constructing a displacement field observation matrix; constructing a physical information neural network embedded with the geotechnical mechanics control equations to invert the mechanical parameters and stress field of the surrounding rock; automatically calling the finite element kernel through a programming interface and calculating the safety factor of the surrounding rock using the strength reduction method; using evidence theory to fuse multi-source analysis results and output the stability level; and driving online model updates and support optimization through prediction-monitoring comparison verification. This invention achieves the integration of parameter inversion, automated numerical simulation, and closed-loop verification, improving the accuracy, efficiency, and intelligence level of surrounding rock stability analysis.

The utility model relates to a three -axis sample preparation device with grading limiting function relates to geotechnical mechanics experimental equipment technical field, it includes with centering the lock base for fixed three -piece mould of clamping groove, with the tamping hammer subassembly for tamping treatment to soil material in three -piece mould of hammer head and with the limiting component for the limiting of hammer head moving path of limiting disc and is used to three -piece mould's direction of moving away or close, limiting disc is along the moving direction of hammer head and adjusts position and restricts the moving end position of hammer head in stages, tamping hammer subassembly still includes the guide rod for connecting hammer head of wearing in limiting disc and the limiting baffle ring of setting at the side of guide rod away from hammer head, limiting baffle ring and limiting disc abut and are used for the downstroke of rigid locking hammer head. The utility model has the effect that improves the precision of actual compaction thickness in compaction process.

This invention discloses a method for joint monitoring of surface subsidence and pipeline deformation in coal goaf areas, relating to the fields of geotechnical mechanics and surveying engineering technology. The method includes: acquiring SAR time-series images of the coal goaf area; obtaining surface subsidence data of the coal goaf area based on the SAR time-series images by combining the S-InSAR method and the phase cumulative difference D-InSAR method; determining the pipeline length, inner and outer diameters, burial depth, and the extent and shape of the soil mass based on the SAR time-series images of the coal goaf area, and establishing a pipeline-soil numerical model of the coal goaf area; determining the subsidence value and horizontal movement value based on the coal goaf image data containing the relationship between surface subsidence and pipeline location; inputting the subsidence value and horizontal movement value into the pipeline-soil numerical model of the coal goaf area for numerical simulation to obtain pipeline deformation stress data; and determining the spatial coupling relationship between the surface subsidence data and the pipeline stress-deformation data by spatially superimposing the surface subsidence data and the pipeline stress-deformation data.

The invention provides a pile foundation perpendicularity deviation-based construction quality diagnosis method, which comprises the following steps of: acquiring multi-modal time sequence data in real time, including tilt angle sensor three-dimensional attitude, geological radar stratum characteristics, piling equipment hammering energy and stratum resistance feedback, and realizing cross-modal synchronization through a high-precision timestamp; after the data accuracy is improved through multi-stage filtering and preprocessing, causal variable pairs with physical rationality are screened by adopting time delay mutual information and nonlinear Granger causal examination, and a Bayesian causal atlas structure is optimized in combination with a rock-soil mechanics mechanism; geological prior knowledge is introduced to enhance the physical interpretability of the graph, and new data distribution changes are coped with through causal stability detection and incremental structure reconstruction; according to the method, the effects of different intervention measures can be simulated based on causal inference, efficient and economical construction correction suggestions are output in combination with multi-objective optimization and a visual causal path, and intelligent closed-loop control over the perpendicularity and quality of the pile foundation is achieved.

The invention discloses a soil mechanics theory-based erosion gully microscopic scale model construction method, which comprises the following steps of: firstly, carrying out field exploration on a target erosion gully to obtain geometric and soil mechanics parameters and meteorological data, and determining a scale proportion according to a similarity theory; preparing a similar soil material from quartz sand, clay and the like, and preparing a model substrate from a fiber reinforced composite material; laying materials layer by layer, implanting fibers, setting a vegetation layer simulation environment, setting boundary conditions and a loading and monitoring system; applying a simulated load, comparing model output with a prototype or theoretical result, determining key parameters by sensitivity analysis, and adjusting and optimizing the model. The model constructed by the method is highly similar to the mechanical behavior and erosion process of an actual erosion gully, soil characteristics can be accurately simulated, data are acquired through reliable monitoring, the accuracy is ensured through scientific calibration and optimization, an effective means is provided for erosion gully research, the research cost is reduced, and high universality is achieved.

The application relates to the technical field of underground engineering and geotechnical mechanics, and provides an underground engineering blasting simulation method based on secondary development of ABAQUS, which comprises the following steps: step 1, a geometric model is established, and a calculation region is divided into an Euler domain and a Lagrange domain; step 2, a JH-2 constitutive model is called and realized through a UMAT user subroutine interface of ABAQUS; step 3, a JWL state equation is used for modeling in the Euler domain; step 4, a coupled Euler-Lagrange method is applied; step 5, boundary conditions and blasting loading parameters of the geometric model are set; and step 6, transient dynamics calculation is carried out, and results are output for analyzing blasting effects. The scheme not only can provide a high-precision numerical test platform for underground engineering blasting design and safety control, reduces engineering risks, optimizes blasting parameter configuration, but also has remarkable engineering application value and popularization significance.

An integrated device for measuring expansive deformation-expansive force-shear strength of expansive soil belongs to the technical field of rock-soil mechanics tests and comprises a frame assembly, a force application assembly, a water bath assembly, a shear box assembly and a monitoring assembly. The force application assembly is arranged on the frame assembly; the water bath assembly is arranged in the frame assembly; the shear box assembly is arranged in the water bath assembly; the monitoring assembly is arranged on the frame assembly and the shear box assembly. According to the integrated device for measuring the expansive deformation-expansive force-shear strength of the expansive soil, disclosed by the invention, the shear strength can be directly measured after the expansive deformation or expansive force measurement is carried out on the same expansive soil sample, and the axial expansive force and the radial expansive force can be obtained after the expansive soil sample generates certain expansive deformation; accurate data support is provided for deep research of expansive force anisotropy of expansive soil, investment of samples, equipment and time cost is greatly reduced, and mechanical properties of expansive soil in nature can be reflected more truly.

The invention relates to the technical field of foundation pit deformation monitoring and prediction, in particular to a foundation pit deformation prediction method and system based on time sequence analysis. Comprising the steps of extracting hour-level propagation characteristics and a propagation rate attenuation index by establishing an instability case library, identifying an instability source candidate region by adopting a non-local gradient, and determining a propagation acceleration factor according to comparison between a time change rate and the propagation rate attenuation index, and when a plurality of instability sources exist, calculating a wave superposition coefficient and carrying out under-consolidation correction to obtain an expansion speed, calculating a remaining time window according to the expansion speed and the propagation path, and when the remaining time window is smaller than an early warning threshold value, dynamically matching a historical statistical rule with a current actual working condition through a time axis compression technology to obtain a final prediction result. According to the method, the two-dimensional attenuation model of the unstable wave space and time is constructed, the soil mechanics mechanism and the fluctuation propagation theory are combined, and the timeliness and accuracy of foundation pit deformation prediction of the short and urgent engineering are remarkably improved.

The invention provides a high earth and rockfill dam core wall pore water pressure test method, and belongs to the technical field of indoor soil mechanics tests. According to the method, the structure of a traditional compression consolidation apparatus is improved, a sealing steel barrel which is provided with a double-layer sealing ring and can lead out a wire harness is adopted, and a high-precision osmometer, a soil pressure meter and a high-frequency data acquisition system are combined, so that the compression consolidation apparatus can be fully sealed under the conditions of complete sealing and high pressure; and the generation and change rule of pore water pressure in the filling process of the core wall of the high earth-rock dam can be accurately simulated. The method comprises the steps of soil sample preparation, saturation treatment, instrument burying, graded loading, data acquisition and the like, and can be used for researching the influence of different water contents, loading rates and clay content on the pore water pressure. Test results show that the method can still keep good sealing and data stability under the condition of 5 MPa high pressure, has high precision, high repeatability and high reliability, and can provide scientific basis for high earth and rockfill dam core wall design and construction safety.

The application discloses a kind of deep foundation pit active compensation support design methods of soil and rock combination stratum, belong to geotechnical mechanics field, first carry out geological survey to the excavation foundation pit, then carry out support scheme design based on obtained geological exploration parameter, and according to whether using long and short anchor cable support and double gradient grouting technology etc., combined with engineering actual design monitoring scheme;And creatively adopt anchor cable construction mode, combined with high pre-tight NPR anchor cable, W steel band etc. Measure, complete the point-line-surface active support of high prestress compensation to foundation pit excavation face.This scheme abandons traditional passive support mode, but takes active compensation mode, according to the stress lost after actual stratum excavation, carries out support parameter design to high prestress NPR anchor cable, realizes the compensation measure to foundation pit, and according to fault, fracture zone etc. Geological condition encountered in actual foundation pit construction process, respectively proposed corresponding support measure, improved foundation pit compensation support design scheme.

The invention relates to the technical field of soil erosion monitoring, in particular to a soil erosion early warning method and device. The soil erosion early warning method comprises the following steps: acquiring soil data corresponding to soil at different positions and different depths of a target slope body; acquiring environment data corresponding to the target slope body; based on the soil data, calculating soil mechanical data corresponding to different positions and different depths of the target slope body; based on the soil mechanics data and the soil data, determining an erosion grade corresponding to the target slope body; and outputting early warning information according to the erosion grade. And comprehensive evaluation of the slope erosion degree is realized. And outputting early warning information according to the erosion grade. The step is the landing of the'disaster prevention and reduction 'core value of the early warning system, and has the beneficial effect of realizing'advanced early warning' and'accurate response '.

The invention belongs to the technical field of geotechnical engineering, and particularly discloses a method for synergistically improving roadbed loess in a seasonal frozen region, a product and application. The method comprises the following steps: sequentially carrying out crushing, air drying, powder sieving and drying treatment on roadbed undisturbed loess in a seasonal frozen area to obtain standby dry soil; mixing the standby dry soil with modified glass fibers accounting for 3%-11% of the mass of the standby dry soil to obtain a mixed soil material; xanthan gum accounting for 0.50%-2.00% of the mass of the mixed soil material is added into the mixed soil material, and the mixture soil material is obtained through uniform mixing; standing the mixture soil material, performing circulating freezing and thawing, and performing maintenance to obtain improved soil; and analyzing the mechanical properties of the roadbed loess under the traffic load effect based on the improved soil. The dynamic strength, the freeze-thaw resistance stability and the long-term service performance of the roadbed loess in the seasonal frozen area can be remarkably improved.

The application belongs to the technical field of offshore photovoltaic power stations, and provides a design method of an ice-resistant system of an offshore photovoltaic power station and the ice-resistant system. The design method comprises the following steps: based on the scale parameters of a photovoltaic power station site, sea ice conditions and geological conditions, the preliminary parameters of a vertical pile array and the vertical piles in the photovoltaic power station site, the sea ice parameters and the rock-soil mechanics parameters are determined respectively; an inclined pile is arranged outside the periphery of the vertical pile array in the photovoltaic power station site; according to the sea ice parameters, the rock-soil mechanics parameters and the shielding coefficient generated by the vertical pile array, the ice force borne by the vertical piles in different regions of the vertical pile array is obtained, the preliminary parameters of the vertical piles are reviewed based on modeling calculation, and the parameters of the vertical piles are updated; a certain number of seawater connecting devices are arranged in the photovoltaic power station site to ensure that the pressure above and below the fixed sea ice is the same; based on the relationship between the pile length and the pile diameter and the vertical pile uplift capacity, the pile length and the pile diameter in the vertical pile parameters are finally determined.

The invention discloses a deep sea land slope well site seabed three-dimensional stability quantitative evaluation method. Comprising the following steps: 1) according to topographic data of a well site area, constructing a seabed three-dimensional finite element discrete model of the well site area; 2) according to the three-dimensional seismic inversion, acoustics and soil mechanics relation model, estimating a three-dimensional space distribution rule of deep sea seabed soil mechanics parameters, and establishing a deep sea three-dimensional seabed slope heterogeneous material model; (3) building a three-dimensional seabed slope stability statics model by considering the accumulation effect of rock debris returned from a well mouth of the drilling well; and 4) calculating the stability of the seabed three-dimensional slope in the well site area by adopting a finite element method, and preferably selecting an optimal drilling well position. The method has the advantages that many induction factors are considered, and the stratum heterogeneity can be reflected more effectively. The method is suitable for deep-sea seabed stability evaluation.

This invention relates to the field of underground engineering and computational geotechnical mechanics numerical simulation technology, and discloses a method for simulating fluid-solid damage coupling in tunnels based on dynamic mapping of solid-structure units. The method first constructs a three-dimensional spatial discrete model, including three-dimensional solid units such as ordinary surrounding rock, consolidated grouting ring or loosened surrounding rock, and lining, as well as internal reinforced structural units, and sets stepped water pressure boundary conditions. It then constructs a non-common-node mapping dictionary based on dual constraints of spatial angle and distance. After performing fluid-solid alternation solutions, it extracts characteristic parameters to calculate the joint damage evolution of the consolidated grouting ring solid unit or the loosened surrounding rock solid unit and the lining solid unit. For the lining solid unit, it performs permeability characteristic reconstruction based on dual control of damage variables and crack opening; for the consolidated grouting ring solid unit or the loosened surrounding rock solid unit, it performs permeability coefficient updates based on effective stress and damage variables, achieving high-precision prediction of the joint disaster evolution of high-pressure water-filled tunnels.

The embodiment of the application provides a loose accumulation body destruction process simulation method and system combined with multiple physical fields, relates to the technical field of geological engineering and rock and soil mechanics, and first captures the traces of stress transmission field, pore medium seepage field and heat exchange field on the loose accumulation body, obtains a multiple physical field dynamic trace set; reversely models the multiple physical field coupling relationship based on the multiple physical field dynamic trace set, and obtains a reverse coupling model; then, imports physical parameters such as particle composition, pore distribution and mechanical response of the accumulation body into the reverse coupling model to obtain coupling evolution data; then, constructs a destruction evolution layered path according to the coupling evolution data; and finally, generates destruction process simulation data containing multiple-dimensional evolution information based on the destruction evolution layered path. The application can accurately simulate the destruction process of the loose accumulation body.

The invention relates to the technical field of mining production, in particular to a supporting method used when a tunneling roadway passes through a fracture crushed zone of a water diversion fault, and aims to solve the problems that when the tunneling roadway passes through the fracture crushed zone of the fault at present, due to the fact that the traditional supporting mode of the roadway is single, roadway roof fall and wall caving safety accidents are extremely likely to happen. According to the method, aiming at complex geological characteristics of a river bed and fault intersection area, a combined process of steel arch advanced shape control and concrete arch permanent shape fixation is selected, material mechanics, rock and soil mechanics and engineering construction principles are combined, the integrity of broken rock mass is improved through grouting, and through the synergistic effect of steel arch advanced support and concrete arch support, the shape of the broken rock mass is effectively improved. The stable control of the surrounding rock of the tunneling roadway is realized, the sequential connection of temporary support and permanent support, the overall stress of the steel arch and the rigid bearing of concrete are ensured, an active constraint-passive resistance support body is formed, and the situation that a single support mode is difficult to deal with the surrounding rock instability risk is effectively avoided.

The present application relates to a kind of adjacent subway foundation pit bidirectional disturbance intelligent monitoring early warning system, specifically, to the field of foundation pit engineering information construction and control, by the synergistic cooperation of data acquisition module, digital twin prediction module, optimization decision module and online fine-tuning module, bidirectional disturbance intelligent monitoring and closed-loop control of adjacent subway foundation pit construction whole process are realized;Digital twin prediction module outputs deformation prediction trajectory based on historical monitoring state sequence and historical construction parameter sequence, provides basis for risk prediction;Optimization decision module automatically solves optimal construction parameter sequence according to deformation prediction trajectory and executes the construction parameter of first control step, upgrades artificial experience decision to data-driven intelligent regulation and control;Online fine-tuning module updates the output layer weight of lightweight prediction model using prediction residual, so that digital twin prediction module adaptively tracks the change of soil mechanics properties, and long-term maintains prediction accuracy.

A graph neural network fusing geological parameters and a bridge single pile design method, the neural network comprises an encoder, an aggregation layer and a decoder, the encoder is used for carrying out digital mapping coding on rock and soil mechanical parameters, design demand parameters and a geological structure drawing to obtain graph representation data, and carrying out embedding processing on edge features and global features; the aggregation layer is used for executing multiple rounds of message passing and feature aggregation based on the node features and the embedded edge features; a decoder is used to predict structural design parameters based on the aggregated features. The design method of the bridge single pile comprises the steps of constructing and training the neural network, and can realize integration of information of three different feature spaces including geologic structure drawings, rock and soil mechanical parameters and structural design attributes so as to generate a single pile structural design meeting parameter design constraints; the method belongs to the technical field of civil structure engineering and computer deep learning application.

The invention relates to an earthquake sand liquefaction prediction method, system and device based on deep learning and a medium. According to the method, historical site parameters are standardized, a deep neural network is constructed, and an initial pore pressure ratio predicted value is obtained through forward propagation; sequentially calculating physical constraint loss to ensure that the prediction does not violate the effective stress non-negative and pore pressure ratio upper limit principle, calculating monotonicity constraint loss to force the model to learn the correct trend that the liquefaction probability is not reduced when the seismic oscillation intensity is enhanced and the liquefaction probability is not increased when the soil anti-liquefaction index is enhanced, and calculating data fitting loss; and carrying out weighted fusion on the three types of loss to form a total loss function, and iteratively optimizing model parameters through back propagation to obtain a prediction model of the embedded soil mechanics principle. Therefore, while the precision of the prediction model is ensured, wrong prediction violating basic physical rules under extreme working conditions is avoided, and the reliability, generalization and engineering credibility of the model under unknown or complex scenes are improved.

This invention discloses a method for deep-sea environment identification and assessment based on an improved geosonic model, belonging to the field of marine geological exploration and deep-sea mineral resource development technology. The method involves collecting geosonic and topographic data via a survey vessel equipped with advanced equipment, extracting and correcting geosonic parameters such as reflection coefficient, sound velocity, and attenuation coefficient. Based on the classic Biot-Stoll model, a geosonic model adapted to deep-sea sediments is constructed through skeleton parameter optimization, permeability correction, and high-frequency attenuation mechanism improvement, combined with a laboratory measured database. Physical parameters are inverted and converted into soil mechanics parameters, and the mining environment is assessed in three dimensions, including foundation bearing capacity, slope stability, and excavability. A comprehensive report with four suitability levels and confidence scores is output. This invention eliminates the need for expensive in-situ testing, achieving large-scale and accurate assessment, and providing a scientific basis for mining planning and risk control.