182 results about "Structural plane" patented technology

The invention relates to the technical field of mining, and discloses a method for determining pre-splitting blasting parameters for mining blasting, which comprises the following steps of: 1, acquiring rock mass structure information of a blasting area through three-dimensional geological radar, laser radar and shallow seismic reflection data, and constructing a structural plane distribution map containing a soft and hard interbed and joint combination mode; 2, initial presplitting blasting parameters are generated based on the structural plane distribution map, wherein the initial presplitting blasting parameters comprise the hole distance, the linear charge density and the charge structure; according to the method, the technical scheme that the structural plane distribution map is constructed through multi-source geological data fusion and digital twinborn simulation dynamic correction is adopted, so that the technical effects that the influence of a complex structure combination on blasting energy transfer is accurately quantified, and the presplitting path control precision is remarkably improved are achieved; compared with the technical scheme depending on a static rock mass model or an empirical formula in the prior art, the defects of presplitting path offset and serious parameter mismatch caused by the fact that modeling is not carried out due to the dynamic effect of the structural plane are overcome.

The invention discloses a spherical crown dome horizontal circumference drilling and blasting parameter model optimization construction method, and the method comprises the steps: collecting geological, crustal stress, hydrological and structural plane data, building a three-dimensional geological information model, carrying out the working condition partitioning based on a surrounding rock quality evaluation index, and constructing a parameter probability distribution model and an uncertainty boundary of each partition. Therefore, precise space description and parameter variability quantification of the spherical crown dome construction area are realized. The method comprises the following steps: establishing a three-dimensional numerical model of a cavern group, integrating blasting power, seepage and stress multi-physical field effects by adopting a finite element-discrete element coupling method, introducing a surrounding rock deterioration constitutive model considering cumulative damage and unloading aging, calibrating key parameters through an indoor test and field trial explosion, and establishing a three-dimensional model of the cavern group. And the numerical model can truly reflect the mechanical property degradation track of the surrounding rock under repeated blasting disturbance.

Provided is a method for judging geology of a time-delayed extremely intense rockburst as to deep tunnel engineering. Information about geological structures is recorded according to methods such as geological mapping and advanced geological prediction of the tunnel face. Geometric characteristics of burst craters formed during the rockburst are recorded by utilizing advanced geological drilling and profile scanning technologies in a rockburst-damaged zone. 3D geostress in the rockburst-damaged zone is measured by using a stress relief method or a hydraulic fracturing method to determine the orientation of the maximum principal stress. A 3D numerical calculation model is established based on initial geostress testing results and physical and mechanical parameters of rock and structural discontinuities obtained through on-site geological investigations. By conducting excavation simulations under different combinations of structural discontinuities and performing numerical calculation, the risk of time-delayed extremely intense rockburst disasters at current locations after tunnel excavation is judged.

The invention provides a water bank slope structural surface rock mass shear creep test system and method under a dry-wet cycle, relates to the technical field of rock mechanical property test, and aims to accurately reproduce a dry-wet cycle-stress coupling working condition of a rock mass structural surface under a complex environment. In the device, the direct shear apparatus comprises a loading frame and a loading and sliding device mounted on the frame, and provides a stable mechanical loading basis for a test; the shear box is used for accommodating a rock sample containing a structural surface, and the lower shear box adopts a lengthened design, so that the shear area in the whole shear process can be ensured to be constant; the dry-wet cycle environment simulation cabin is fixed in the loading frame, hermetically wraps the shear box and is integrated with a water soaking subsystem and a drying subsystem, the water soaking subsystem can adjust the water level height and water pressure in the simulation cabin, and the drying subsystem can dry a rock sample, can reproduce the sun illumination radiation condition and is matched with the water soaking subsystem to realize periodic dry-wet cycle; and the coupling effect of dry-wet cycle and mechanical loading is realized.

The invention discloses a multilevel rock mass mechanical analysis method and system based on near field dynamics, and the method comprises the steps: generating a mica-matrix binary model matched with actual granite based on a K-L random field, mapping the model to a BB-PD model mass point through a DIP method, determining the distribution, the particle size and the content of mica, and determining the particle size of the mica; the mechanical weakening effect is simulated by reducing the normal and tangential stiffness of the mica phase, and the microstructure characterization of the rock is completed. Constructing a structural plane PD numerical model by combining the geometrical characteristics of the structural plane reconnaissance on site and the mechanical parameters of the indoor direct shear test, and analyzing the influence of the geometrical and mechanical characteristics of weak planes such as joints and fractures on the local mechanical properties of the rock mass; the method comprises the following steps of: constructing an engineering scale rock mass numerical model integrated with mechanical properties of a microscopic rock block and a microscopic structural surface by relying on field rock mass discontinuous surface distribution data and indoor test basic mechanical parameters, and finishing analysis on the influence of the overall mechanical properties of the engineering scale rock mass; and the problems of insufficient cross-scale collaboration and the like are solved.

The invention discloses a rock mass structural plane parameter calculation method based on a drilling surrounding rock expansion map. The method comprises the steps that a deep learning semantic segmentation network is built to automatically recognize cracks in a drilling surrounding rock hole wall two-dimensional expansion map; processing the segmented fissure image of the pixel level, and eliminating miscellaneous points which interfere with subsequent operation and small fissures which do not influence the integrity of the surrounding rock; extracting a fracture skeleton line, and eliminating burrs on the skeleton line; for fractures with cross structures, adopting a fracture skeleton decoupling algorithm fusing topological connectivity and vector geometry criteria to adaptively separate the fractures; an implicit space mapping method based on a crack pixel sequence is adopted, non-modeling extraction of structural plane space geometric parameters in a borehole expansion diagram is achieved, and the structural plane space geometric parameters comprise the included angle between the structural plane trend and the hole axis and the structural plane dip angle. According to the method, the geometric features of the internal structural surface of the surrounding rock can be quantitatively represented, and the quantitative results are all within the allowable range of actual engineering errors.

The invention relates to the technical field of computational mechanics, in particular to a DDDA-based circle-circle contact interface non-occlusion sliding numerical simulation method, which comprises the following steps: constructing a non-occlusion joint model; establishing a circular unit-non-occlusion joint initial correlation; establishing a DDDA total balance equation; applying a non-occlusion contact constitutive to the associated circle unit contact; and solving the model to obtain the non-occlusion sliding process of the circle-circle contact interface. According to the invention, the non-occlusion sliding process of the circle-circle contact interface is realized, so that the sliding simulation result of the structural surface better conforms to the real mechanical response of the structural surface, and a more convincing numerical analysis tool is provided for the sliding process analysis of slope stability, the slip instability prediction of underground engineering surrounding rock along a weak surface and other key engineering problems. And the method has great engineering application value.

The application discloses a method for solving structure surface occurrence without external magnetic field interference. The method comprises the following steps: step one, obtaining basic data: obtaining the coordinates and elevation of three points on the target structure surface by using a professional measuring method without external magnetic field interference, the three points are not collinear; step two, judging whether the elevations of the three points A, B and C are all equal, if yes, the structure surface is horizontal; step three, under the condition that the elevations of the three points A, B and C are not all equal, the coordinates of two points with equal elevations on the structure surface are solved, the strike line is determined, and the strike of the structure surface is obtained; step four, under the condition that the elevations of the three points A, B and C are not all equal, the dip angle of the structure surface is solved; step five, the dip direction of the inclined structure surface is solved; step six, the structure surface occurrence solving process is simplified, and a structure surface occurrence solving method convenient for application is obtained. The method has the advantages of not being interfered by external magnetic field, high applicability, high precision, and convenience and rapidness.

The application discloses the technical field of image data processing, and provides a method, device and equipment for risk assessment of an underground cavern and a medium, which comprises the following steps: adopting a geometric segmentation algorithm to process point cloud data of a target cavern acquired in advance, combining a plane fitting technology, identifying a structural surface and extracting structural surface parameters; constructing a geological topology model according to the structural surface parameters, identifying key blocks of the geological topology model based on a preset block identification standard, and randomly disturbing the structural surface parameters to obtain multiple groups of sample parameters; determining the instability probability of each key block based on the sample parameters, performing risk assessment on the key blocks based on the instability probability, and obtaining a risk assessment result of the underground cavern. The application significantly improves the timeliness and efficiency of risk identification of underground engineering, and effectively solves the problems of accurate identification of a structural surface and risk quantization under complex geological conditions.

The invention provides a rapid evaluation method for shear strength of a rock structural plane under normal disturbance, and belongs to the technical field of geotechnical engineering and rock mechanics, the method comprises the following steps: S1, sample preparation and initial parameter acquisition; s2, normal disturbance direct shear test; s3, fitting test data and establishing an empirical model; and S4, rapidly evaluating the shear strength. According to the method, by introducing a normal disturbance stress parameter, an empirical calculation formula capable of rapidly predicting the shear strength after disturbance is established, and key parameters are provided for engineering design and stability analysis.

The invention discloses an NRLC enhanced two-stage DBSCAN clustering rock discontinuous surface identification method, and relates to the field of rock mass structural surface intelligent identification, and the method comprises the steps: S1, identifying concave, convex and boundary feature points in a rock point cloud; s2, calculating a rock point cloud normal vector based on local fitting; s3, based on the rock point cloud normal vector, identifying a group discontinuous surface through DBSCAN clustering; s4, DBSCAN clustering is carried out based on the group discontinuous surfaces to obtain all discontinuous surfaces in the point clouds, automatic recognition and accurate representation of the rock mass discontinuous surfaces are achieved through normal vector clustering analysis, a set of efficient and accurate rock mass structural surface intelligent recognition technology system is established, and reliable three-dimensional data support is provided for rock mass stability evaluation.

The invention discloses a blasting construction harmful effect control method and system, a medium and a product, and relates to the field of engineering construction. The method comprises the steps that a three-dimensional analysis model is constructed according to geologic structural plane data of a to-be-blasted area and spatial orientation data of a protected object, and a target area where the flying stone main throwing direction conflicts with the orientation of a vibration sensitive area is recognized based on the three-dimensional analysis model; constructing a blasting sequence according to the spatial range of the target area, the geologic structural plane occurrence and a preset safe throwing sector area; coupling simulation is conducted on the blasting sequence through the blasting dynamics simulation model, whether the flying stone throwing track and the vibration distribution meet the preset safety requirements or not is verified, and if not, blast hole grouping or detonation time difference is adjusted, and iterative optimization is conducted till a final blasting scheme meeting the flying stone throwing track and the vibration distribution at the same time is obtained; and outputting a final blasting scheme. By implementing the technical scheme, the harmful effect of blasting construction can be effectively controlled.

The present application relates to a kind of potential rock burst pit depth quantitative estimation method considering structural plane and excavation disturbance effect, obtain the initial maximum principal stress and rock uniaxial compressive strength of the region to be estimated, preliminary evaluation whether it has the potential to occur rock burst;Surrounding rock is estimated to estimate the scope of excavation damage zone by sound wave test;According to the sound wave test data, the disturbance factor at different depths is estimated;According to the change characteristics of disturbance factor, the height damage zone and weak damage zone range of surrounding rock in excavation damage zone are estimated;Estimate the potential rock burst pit depth of surrounding rock.The present application not only considers rock strength and stress condition, but also considers the influence of structural plane and excavation disturbance on potential rock burst pit depth, uses high-precision, low-cost and convenient sound wave test technology and a small amount of rock indoor strength test can be realized, with greater innovation, practicality, economy and feasibility.

The invention discloses a test method for shear creep characteristics of a rock mass structural surface in a near-dam area and a medium. The test method comprises the following steps: collecting corresponding geological exploration data and annual change data of an underground water level after water storage of a dam; designing a test load based on the collected data; designing an artificial sawtooth structural surface based on a rock surface topography instrument; carrying out a rock mass structural surface shear-seepage coupling test, and determining the shear strength of the structural surface under the action of the maximum seepage pressure and the corresponding maximum shear load; carrying out a rock mass structural plane shear creep-seepage coupling test under the dam water storage condition, controlling the shear load to be constant in the test, gradually applying seepage pressure, and recording the creep deformation of the structural plane; a rock mass structural plane shear creep-circulating seepage coupling test is carried out under the dam water storage condition, in the test, the shear load is controlled to be constant, the reciprocating seepage pressure is gradually applied, the structural plane creep deformation is recorded, and the influence of the circulating action of the seepage pressure on the rock mass structural plane shear creep characteristic after dam water storage is simulated.

The application discloses a cliff three-dimensional modeling method and system based on structure surface constraint, relates to the technical field of three-dimensional geographic information systems, collects cliff regional geological data including cliff multi-view images and cliff surface dense point cloud data, and constructs a geological prior knowledge base; image recognition technology is used to process the cliff multi-view images, combined with point cloud geometry analysis, to identify the spatial orientation of structure surfaces including rock layer interfaces and joint surfaces. The application effectively solves the geometric distortion problem of traditional digital elevation models in cliff regions by fusing geological prior knowledge, uses image recognition technology to extract the spatial orientation of rock layer interfaces and joint surfaces, and uses the spatial orientation as a hard constraint condition to construct a control triangular net framework, thereby avoiding the forced smoothing error of a regular grid DEM and the overhanging surface problem of an irregular triangular net, and through an adaptive triangular division algorithm, the rock layer structure, crack distribution and dangerous rock body shape of the cliff can be accurately restored.

The invention relates to a method and a system for identifying a slow-dip-angle structural plane of a pumped storage upper reservoir, and the method comprises the following steps: selecting a plurality of surveyed pumped storage power station upper reservoir regions as sample regions, and obtaining the exploration sample data of the sample regions; gridding the sample area into a three-dimensional voxel grid, preprocessing exploration sample data, extracting exploration features of each voxel in the three-dimensional voxel grid, adding a sample label indicating whether the voxel belongs to a low-dip-angle structural plane, and putting the sample label into a training sample set; constructing a recognition model based on a machine learning model, and performing iterative training on the recognition model by using the training sample set to obtain a voxel low-dip-angle structural plane probability recognition model; and acquiring exploration data of a reservoir region on the pumped storage power station to be identified, acquiring a prediction probability of whether each voxel in the region belongs to a low-dip-angle structural plane or not by using the voxel low-dip-angle structural plane probability identification model, and further identifying the low-dip-angle structural plane in a target region.

The invention discloses a block system construction method suitable for various structural plane models, and relates to the field of three-dimensional rock block recognition, and the method comprises the steps: firstly classifying cutting planes and establishing a database based on the geometric data of an existing structural plane system model (DFN) and the data of a calculation region, calculating the intersection lines and intersection points between the cutting planes, and calculating the intersection lines and intersection points between the cutting planes; a vertex matrix of the block system is constructed, then vertexes are connected to form directed edges, closed surfaces are constructed based on the directed edges, and a polyhedron is constructed through surface combination. And finally, the conversion from the structural plane system to the block system is completed by outputting a complete geometric element matrix. Theoretical algorithms are adopted in the method, and only structural plane and calculation area data are used as input, so that the method is objective and simple to operate and easy to program. Compared with the prior art, the method breaks through the limitation of a traditional structural plane model, and can be suitable for various structural plane models including a disc structural plane model, a polygonal structural plane model and a general elliptical disc structural plane model. The calculation method disclosed by the invention can provide a preprocessing general normal form for rock mass stability analysis. A proper structural plane model can be selected according to engineering requirements, a rock block system closer to a real rock mass is further provided, and the adaptability and reliability of block system modeling under complex geological conditions are improved.

The invention provides a rock mass structural surface strength prediction method driven by a ground vibration load, and relates to the technical field of rock mass mechanics. The method comprises the following steps: acquiring and integrating geometric and mechanical parameters, seismic oscillation parameters and test and numerical simulation data of a structural plane to form a standardized database; cleaning and standardizing database data, constructing a dynamic attenuation factor, and screening and enhancing key features to obtain initial input features; constructing a physical experience reference model and a machine learning predictor, and training a hybrid prediction model by combining prediction results of the physical experience reference model and the machine learning predictor; verifying the model and quantizing the output uncertainty; inputting the basic data calling model to complete calculation and outputting a result. According to the method, the reliability and adaptability of rock mass structural surface strength prediction are improved, and support is provided for seismic design of geotechnical engineering.

The application relates to the technical field of wall body inclination detection, in particular to a construction wall body inclination detection method and system suitable for building engineering, which comprises the following steps: acquiring a three-dimensional point cloud model of the building engineering, and identifying each structural surface in the three-dimensional point cloud model; determining a ground surface structural surface in all the structural surfaces, and fitting a ground surface reference plane; carrying out object segmentation on the three-dimensional point cloud model, and determining the wall body confidence of each object; carrying out threshold segmentation on the wall body confidence of all the objects, and acquiring the construction wall body; determining the concave-convex coefficient of each point in each construction wall body, and obtaining the concave-convex points in each construction wall body; eliminating the concave-convex points in each construction wall body, determining the reference plane of each construction wall body, and obtaining the perpendicularity deviation of each construction wall body through the normal vector angle between the reference plane of each construction wall body and the ground surface reference plane, and combining the actual height of the construction wall body, so that the inclination of the construction wall body is detected. Therefore, the precision of the construction wall body inclination detection is improved.

The invention discloses an underground engineering surrounding rock while-drilling intelligent sensing and in-situ classification method, and relates to the technical field of underground engineering, and the method comprises the steps: building a rock mass mechanical parameter while-drilling inversion model, carrying out the dynamic prediction of the equivalent compressive strength of a rock mass, and generating a strength curve changing with the drilling depth; according to the sudden change characteristics of the strength curve, recognizing the position of the structural plane, constructing a rock mass structural plane response-while-drilling model, obtaining structural plane parameters according to the position of the structural plane, and further calculating rock mass quality indexes; after the testing while drilling is completed, an underground water state testing while drilling model is constructed, and underground water state characterization parameters are obtained; based on a surrounding rock classification method, performing underground engineering surrounding rock intelligent while-drilling in-situ classification evaluation by integrating rock mass equivalent compressive strength, structural plane width, structural plane spacing, rock mass quality indexes and underground water state characterization parameters; according to the invention, real-time detection and in-situ while-drilling classification of underground engineering surrounding rock properties can be realized, and the test accuracy and timeliness are improved.

This invention discloses a method, medium, and equipment for determining creep parameters of fractured rock masses based on the equivalent medium theory. The method includes: constructing a random fracture network model of fractured rock masses containing multiple sets of structural planes, and generating numerical models of fractured rock masses of different sizes; embedding the viscoelastic-plastic constitutive model of the structural planes into discrete element numerical calculation software; applying constant loads to the numerical models of fractured rock masses of different sizes, conducting numerical creep tests on the fractured rock masses, and obtaining the creep deformation time history curves of each numerical model; performing parameter inversion on the creep curves of fractured rock mass models of different sizes to determine the size range of the CREV (Crew Characterization Equivalent Value) of the fractured rock mass creep characterization unit; obtaining the equivalent viscoelastic creep parameters and equivalent viscoplastic creep parameters of the fractured rock mass; and applying the obtained parameters to long-term slope deformation analysis. This method provides a more reliable theoretical basis for the long-term stability assessment and safety prediction of hydropower, mining, and tunnel projects.

The invention provides a tunnel chain type rockburst risk assessment method based on rock mass structural plane characteristics, and relates to the technical field of geological exploration. Through the processes of static prediction, dynamic early warning, advanced detection, structural plane parameterization and tendency index, typed identification and directional evaluation of chain rock burst are realized. Structural surface features (position, scale, dip angle and included angle) are taken as a core, a stress control type and a structural surface control type are firstly distinguished, then the occurrence risk of strain-structural surface slippage type rockburst and chain type rockburst is judged, and axial chain type rockburst, radial chain type rockburst and axial-radial chain type rockburst are further identified according to the included angle between a structural surface and a tunnel axis and the dip angle of the structural surface. According to the method, multiple chain type rockburst modes can be identified and evaluated at the same time, the limitation that in the prior art, only single-time rockburst can be evaluated or only one specific type of chain type rockburst is limited is made up, and a scientific basis is provided for forepoling and dynamic construction management.

This invention relates to a design method for reinforcing rock mass structures with small-diameter piles under post-load conditions in the field of slope protection. The method first obtains the inclination angle θ of the outward-dipping structural surface, the internal friction angle and cohesion c, the sliding mass weight γ, the sliding mass height H, the stress ratio n between the pile and the rock mass at the structural surface, the vertical load q applied to the upper part of the sliding mass after the construction of a single deeply embedded small-diameter anti-slide pile, the sliding mass width b, and the horizontal extension length l. Then, using these parameters, it calculates the initial axial force of the deeply embedded small-diameter anti-slide pile before sliding, the deflection angle of the deeply embedded small-diameter anti-slide pile when the anti-slide force is at its maximum, the minimum compressive stiffness of the small-diameter anti-slide pile, and the axial force and anchorage length of the deeply embedded small-diameter anti-slide pile caused by compression after minor deflection deformation at the structural surface. This invention saves resources compared to empirical design methods.

The present application relates to rock mass structure and mechanical analysis technical field, disclose a kind of rock mass stability analysis method and system based on DFN-VR, its method includes: obtaining the multi-source structure surface data of target rock mass region;Probability modeling is carried out to the multi-source structure surface data after pre-processing, obtain the probability distribution parameter of each structure surface, generate the discrete fracture network (DFN) of target rock mass region based on probability distribution parameter;Discrete fracture network is imported into virtual reality platform (VR) to carry out interactive check and optimization to fissure element and determine model boundary;Based on the discrete fracture network after optimization, generate rock block and build discrete element calculation network, set rock block and fissure physical and mechanical parameters;Engineering working condition is applied in discrete element solver to carry out numerical calculation, output stability analysis result.The present application improves the intuitiveness of discrete fracture network, and the degree of convenience and response speed of rock mass stability analysis.

The application discloses a kind of based on virtual flat adit's slope structural plane model construction method, comprising: generating and each reality flat adit corresponding considering structural plane spatial variability reality flat adit model;Comprehensively consider the geometric characteristics of reality flat adit model and the certainty structural plane feature, generate several considering structural plane spatial variability while considering structural plane along elevation continuity random change virtual flat adit model.The application according to the actual flat adit data of site to the blank area that has not carried out flat adit exploration restores its structural plane feature as far as possible, establishes the structural plane network model in conformity with geological authenticity, to carry out subsequent slope stability evaluation work.The application realizes that the structural plane network constructed in model meets the exposure condition of reality flat adit, while considering the spatial variability of structural plane distribution characteristics in different parts of slope, solves the problem that structural plane model deviates from reality in rock slope numerical calculation and influences the slope stability evaluation.

The utility model discloses a rock mass structural plane friction angle detection device which comprises a base and an upper cover, the upper cover is located above the base, a multi-dimensional force sensor is installed between the base and the upper cover, an anti-skid pad is installed at the bottom of the base, and the upper cover and the multi-dimensional force sensor are connected through a first fixing bolt. The base and the multi-dimensional force sensor are connected through a second fixing bolt. The device is simple in structure, small in size and convenient to carry and use.

A kind of digital geological strength index intelligent acquisition method for deep pillar, first obtains the digital image of the pillar surface and carries out pretreatment;Based on image automatic identification joint fissure, extract trace length, direction, spacing and opening degree and other geometric and structural parameters;At the same time, identify the apparent weathering degree of rock mass to determine the weathering grade;And build three-dimensional model to extract surface roughness parameter. Further, the above structure, roughness, opening degree and weathering information are integrated to construct the comprehensive index JSVI of apparent joint quality of the pillar. Finally, the JSVI is coupled with the rock mass structure grade parameter SR to establish the GSI calculation model, realizing the non-contact, objective and digital expression of the pillar rock mass quality. The method is simple in implementation process and low in implementation cost. Based on digital image and intelligent identification technology, the whole process automation, objectivity and quantification of deep hard rock pillar rock mass fissure structure parameters, structure surface state index and geological strength index are realized.

The invention discloses a tunnel surrounding rock deformation prediction method based on a geological strength index and a seismic wave method, and the method comprises the following steps: S1, collecting tunnel data at a measurement point, and obtaining the surrounding rock section data of the measurement point; s2, selecting a representative rock surface at the measurement point, calculating a rock mass volume joint number and a structural surface condition factor, and determining a geological strength index value of the measurement point by using the rock mass volume joint number and the structural surface condition factor; s3, establishing a first relation model based on the surrounding rock section and the geological strength index value, wherein the first relation model is used for predicting the geological strength index value of the target point; s4, obtaining the longitudinal wave velocity and the uniaxial compressive strength of the measurement point through the tunnel data, establishing a second relation model based on the longitudinal wave velocity and the uniaxial compressive strength of the measurement point, and predicting the uniaxial compressive strength by the second relation model; and S5, generating the rock mass deformation modulus of the target point based on the predicted uniaxial compressive strength and the geological strength index value of the target point. The problem that the traditional method cannot predict in advance is solved.

The invention discloses a structure-karst-unloading coupling degradation high and steep slope collapse physical model experiment system, and relates to the field of slope collapse risk management, and the system comprises a construction module which is used for constructing a high and steep slope model containing a karst network; the monitoring module is used for synchronously capturing micron-order opening and micro-fracture evolution information of an internal structural surface of the model and stress-seepage field distribution data; according to the method, the model is guaranteed to be highly matched with the actual geological environment through dynamic calibration of the adaptation degree, micron-sized synchronous capture of internal structure evolution, stress distribution and seepage field data of the model is achieved, and the monitoring precision is improved through multi-device collaborative layout and data credibility verification; and cooperatively applying tectonic stress, karst seepage and graded unloading according to a real time sequence, and dynamically adapting to the quasi-steady-state requirements of the stress-seepage field of the model.

This invention belongs to the field of data processing, specifically relating to a three-dimensional roughness assessment method for rock mass structural surfaces. The method includes: using two-dimensional continuous wavelet transform to perform multi-scale decomposition of point cloud data, and introducing scale confidence to correct the unreliability of small-scale analysis; automatically identifying valley scales in the double logarithmic corrected scale roughness spectrum to separate macroscopic undulation and micro-roughness representing roughness types; and establishing a dual-threshold classification system by combining total roughness and wave-roughness energy ratio to classify rock mass structural surfaces into four types, thereby providing more accurate and physically meaningful mechanical response predictions and parameter basis for stability analysis and support design in geotechnical engineering.