306 results about "Structural plane" patented technology

The invention relates to the technical field of mine safety monitoring, and discloses a roadway surrounding rock stability evaluation method, which comprises the following steps: step 1, collecting roadway surrounding rock geological data, step 2, constructing a three-dimensional geomechanical model, step 3, inverting mechanical parameters, step 4, calculating a stability coefficient, and step 5, outputting an evaluation result. According to the method, rock mass types, structural plane occurrence, crustal stress vectors and permeability parameters are integrally collected through geological radar scanning, drilling coring and crustal stress measuring devices, the problem of model distortion caused by single data in a traditional method is solved, deformation of a stress concentration area is accurately captured by adopting a non-uniform grid division strategy, inversion mechanical parameters are combined, and the method is suitable for large-scale popularization and application. The network is trained by using in-situ direct shear and triaxial test data, the inversion efficiency is improved compared with manual trial and error, the whole surrounding rock fracture process is simulated based on a finite element-discrete element coupling algorithm, plastic zone distribution and a comprehensive index S are output, and automatic judgment of the stability level is realized.

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 discloses an altered rock mass engineering geologic feature rapid identification method, and belongs to the technical field of engineering rock mass identification. Comprising the steps of obtaining topographic data of a rock mass feature region to be recognized, obtaining an earth surface plane model by fitting the topographic data, and generating a three-dimensional route based on the obtained earth surface plane model; controlling the unmanned aerial vehicle to fly close to the surface of the rock mass through the three-dimensional route, and shooting an image according to a preset position; performing data preprocessing on the shot image, performing image segmentation on the preprocessed image, and constructing a structural plane occurrence data set; and performing data processing based on the structural plane occurrence data set, and obtaining a rock mass feature recognition result through an FCM-WOA algorithm of structural plane occurrence automatic clustering and grouping. According to the method, the normal vector robust estimation method is optimized to improve the region growth efficiency and accuracy of the rock mass structural plane, the region growth algorithm is improved to optimize the initial structural plane recognition result, and the rock mass structural plane is quickly and accurately recognized from mass point cloud data of the rock mass outcrop.

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 relates to the field of rock mass structural surface recognition, in particular to a high and steep slope rock mass structural surface intelligent recognition method based on double clustering. According to the method, high-precision image data of a high and steep slope is obtained through an unmanned aerial vehicle approaching photogrammetry technology, and a three-dimensional digital model of the high and steep slope is constructed by utilizing a three-dimensional reconstruction and calculation technology. And calculating normal vectors of all triangular surfaces based on the triangular surface vertex information of the model, and performing clustering analysis to divide structural surface groups with similar occurrence. And further performing clustering analysis according to the surface center coordinates of the triangular surface, and dividing to obtain the structural surface. And finally, calculating the inclination angle, inclination direction and trend data of the structural surface through an accurate mathematical model. According to the method, the flexibility and the safety of high and steep slope structural plane measurement operation are enhanced, a measurement area of any scale can be completely covered, objective, accurate, rapid and low-cost structural plane intelligent identification and attitude data acquisition are realized, and the method has important significance in engineering application related to high and steep slopes.

The invention discloses a rock quality index calculation method, system and device and a medium, and the method comprises the steps: determining a three-dimensional point cloud in response to a rock mass quality index calculation request; determining three-dimensional point cloud reconstruction data based on the distance between the three-dimensional point cloud and the fitting plane, and generating a three-dimensional point cloud image based on the three-dimensional point cloud reconstruction data; segmenting a surrounding rock structural surface of the three-dimensional point cloud picture; constructing a first roadway surrounding rock three-dimensional body which does not contain a surrounding rock structural surface; determining a second area corresponding to the surrounding rock structural plane in the three-dimensional point cloud reconstruction data according to the first area of the surrounding rock structural plane in the three-dimensional point cloud picture, and fitting the three-dimensional point cloud reconstruction data of the second area to form a structural plane equation; segmenting the first roadway surrounding rock three-dimensional body for the first time according to a structural plane equation to obtain a second roadway surrounding rock three-dimensional body containing a surrounding rock structural plane; the second roadway surrounding rock three-dimensional body is subjected to second segmentation, the rock mass quality index is calculated according to the second segmentation result, and high efficiency and lossless measurement of the rock mass quality index can be achieved.

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 steep cliff three-dimensional modeling method and system based on structural plane constraint, and relates to the technical field of three-dimensional geographic information system.The steep cliff three-dimensional modeling method comprises the steps that steep cliff area geological data including steep cliff multi-view images and steep cliff surface dense point cloud data are collected, and a geological prior knowledge base is constructed; an image recognition technology is used for processing a steep cliff multi-view image, point cloud geometric analysis is combined, and the structural plane spatial orientation including a rock stratum interface and a joint plane is recognized. According to the method, geological priori knowledge is fused, the geometric distortion problem of a traditional digital elevation model in a cliff area is effectively solved, the spatial orientation of a rock stratum interface and a joint surface is extracted by using an image recognition technology, and the spatial orientation is used as a hard constraint condition to construct a control triangulation network framework; the problems of forced smoothing errors of a regular grid DEM and a suspended surface of a triangular irregular network are avoided, and the rock stratum structure, the crack distribution and the dangerous rock body form of the cliff can be precisely restored through the self-adaptive triangulation algorithm.

The invention discloses a tunnel rock-soil deformation identification method and system, relates to the technical field of tunnel and underground engineering monitoring and early warning, and remarkably improves the reliability and timeliness of tunnel weak surrounding rock deformation risk identification. In the abrupt change response link, a time domain convolutional network and a displacement acceleration self-adaptive strengthening mechanism are introduced, so that the capturing capability of the system on nonlinear displacement surge is improved in a leap-over manner; according to the method, the acceleration component is focused and the physical constraint weight is applied, so that the sudden change event is locked in real time, and accidents such as unstability of the tunnel face are prevented from being missed in report; in order to solve the problem of point cloud registration distortion of a joint development area, the geological law of a rock mass structural plane is fused into a registration algorithm, and overall deformation misjudgment caused by rock mass local dislocation is inhibited from the source through a Gaussian mixture model coupling normal elastic deformation threshold and a tangential coulomb friction criterion; the measurement precision of laser scanning in a fracture zone and a fault zone breaks through environmental limitation, and a reliable basis is provided for supporting decision.

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 embodiment of the invention provides a method and device for recognizing a rock mass structural plane. The method comprises the following steps: in response to an obtained photo control point geodetic coordinate and an aerial survey photo about a target area, generating a three-dimensional entity model about the target area through an image data processing rule based on the photo control point geodetic coordinate and the aerial survey photo; in response to a two-dimensional image map extracted from the aerial survey photo, inputting the two-dimensional image map into a pre-trained neural network, and identifying the two-dimensional image map by the pre-trained neural network to obtain a corresponding structural surface two-dimensional contour; associating the two-dimensional contour of the structural plane to a three-dimensional entity model through a space mapping algorithm, and generating a three-dimensional structural plane edge contour; and carrying out geometric fitting on the edge contour of the three-dimensional structural surface to obtain the structural surface size and occurrence parameters of the target area. By utilizing the method disclosed by the embodiment of the invention, the spatial orientation and size parameters of the structural plane can be accurately solved.

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 invention relates to the technical field of underground construction engineering, and discloses a three-dimensional discrete fracture rock mass grouting reinforcement effect prediction method which comprises the following steps: S1, delimiting a research range, establishing a rock mass discrete fracture network model according to a field actual measurement structural plane, and forming grouting holes in the rock mass discrete fracture network model; s2, establishing a rock mass fracture fluid mass conservation equation and a phase transport equation under a non-isothermal condition according to the rock mass discrete fracture network model; establishing an energy conservation equation of a rock mass matrix and an energy conservation equation of fractures, and considering hydration heat release of cement-based slurry in a heat source item; a volume fraction method is adopted to describe the saturation degree of the slurry and water in the rock mass, a fracture deformation equation between the fracture opening degree and the slurry pressure is established, and a reinforcement effect prediction calculation model is obtained; and S3, performing prediction. According to the method, the influence effect of the temperature on the slurry rheological parameter time-varying process and the three-dimensional distribution characteristics of real rock mass fractures are additionally considered, and a rigorous theoretical basis is provided for grouting design.

The invention discloses a slope structural surface roughness coefficient testing method. The method comprises the core steps of structural surface pretreatment, rebound detection, contour curve drawing, roughness measurement and the like. Measuring areas are divided and identified, an average rebound value is obtained by using a rebound apparatus, a surface profile is drawn in combination with a profile curvimeter, and a roughness coefficient JRCn is read by using a multi-range roughness ruler and an electronic subdivision technology; in addition, parameters such as rock wall strength and normal stress can be obtained through a point load instrument, a vibrating wire strain gauge and the like, shear strength is calculated in combination with a Barton-Bandis mode, data of multiple measuring areas are integrated, and dynamic correction results of environmental parameters are associated. According to the method, the test precision and efficiency are improved, data integration and full-period management are realized, and a reliable basis is provided for slope stability evaluation.

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 belongs to the field of data processing, and particularly relates to a three-dimensional roughness evaluation method for a rock mass structural plane, which comprises the following steps of: performing multi-scale decomposition on point cloud data by utilizing two-dimensional continuous wavelet transform, and introducing scale confidence to correct the unreliability of small-scale analysis; the method comprises the following steps: automatically identifying valley point scales in a double logarithm correction scale roughness spectrum, and separating macroscopic undulations and microcosmic rough bodies representing roughness types; according to the method, the total roughness and the wave roughness energy ratio are combined, a double-threshold classification system is established, rock mass structural surfaces are divided into four types, and therefore more accurate and more physical mechanical response prediction and parameter bases are provided for stability analysis and support design of geotechnical engineering.

The invention relates to the technical field of data processing, discloses a surrounding rock structural plane model generation method and system based on three-dimensional machine vision, and aims to solve the problems that an existing method is single in scale, poor in space continuity and disjunction in engineering semantics. The scheme mainly comprises the steps of multi-source point cloud acquisition and fusion, path aggregation from bottom to top, path segmentation from top to bottom, dual-path feature fusion and structural plane parameterization output. According to the invention, through a hierarchical processing framework of dual-path cooperation of bottom-up aggregation and top-down segmentation, multi-scale geometric features in point cloud data are extracted, and full-scale accurate identification from a large-scale structural surface to a micro-structural surface is automatically realized. The problems that in the prior art, the structural plane recognition scale is single, the space continuity is poor and engineering semantics are disjointed are solved, the generation efficiency and accuracy of the surrounding rock structural plane model are improved, and the method is suitable for rock mass stability analysis.

The invention relates to the technical field of stratified rock mass numerical simulation, and discloses a stratified rock mass numerical simulation method based on a hybrid progressive failure model, and the method comprises the steps: obtaining an engineering rock mass structural plane of a research area, and grading geological structural planes such as faults, rock veins and fractures of surrounding rock of an underground cavity based on structural plane features; through three-dimensional laser scanning, obtaining the spatial three-dimensional coordinates of each sampling point on the surface of the footrill, obtaining the point cloud of a measured object, and connecting adjacent discrete points; carrying out secondary sampling on the spliced point cloud data, carrying out plane fitting to obtain a structural plane occurrence, and constructing a footrill simulation model; analyzing the occurrence of the structural surface by the footrill simulation model to obtain a stratified rock mass value, and dividing the structural surface in the rock mass into a rigid structural surface and a weak structural surface according to the character, weathering degree, tightness degree and filler condition; and outputting the data to a cloud platform. According to the invention, manual intervention is reduced, and the safety, accuracy and efficiency of measurement are improved.

The invention discloses an acquisition device based on rock mass structural surface roughness, and relates to the technical field of rock mass structural surface roughness measurement, the acquisition device comprises a frame type base, a probe assembly, a laser scanning module and a real-time data processing unit, the lower surface of the frame type base is symmetrically provided with liftable supports, and the probe assembly is arranged on the lower surface of the frame type base; the frame-type base is of a square frame-type structure, the bottom of the frame-type base is open, the frame-type base is provided with a height-adjustable supporting column, the center of the top face of the frame-type base is provided with a linear sliding rail, the sliding rail is provided with a slidable measuring table top, and the measuring table top is driven by a motor to move. Vibration interference caused by irregularity of a device or a rock surface is suppressed, and laser scanning and a multi-point synchronous acquisition technology are combined, so that the information space continuity of the structural surface is improved; real-time dynamic measurement in a complex field environment is achieved, efficiency and data authenticity are improved, and the method has popularization value.

The present application relates to the field of rock mass structure plane identification, and in particular to a rock mass three-dimensional structure plane intelligent identification method based on an AI vision large model. The method combines an artificial intelligence vision large model with a motion recovery structure technology and uses data of different photogrammetry devices to realize three-dimensional structure plane identification. The method converts the identification task from point cloud to original image data by using the correlation between image pixels and point cloud in the motion recovery structure (which is often ignored by previous research), thereby significantly reducing the implementation difficulty. Benchmark tests show that the method achieves an average accuracy of 0.91 in a three-dimensional database and identifies 87 structure planes. The results show that the method has high precision and high efficiency and provides a powerful tool for geological data labeling.

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 application discloses a kind of multi-level blasting rock mass structure surface intelligent identification method based on deep learning, comprising: first, by obtaining the multi-source heterogeneous data of space sequence blasting working face, construct multimodal dataset. Then, the data set is preprocessed, and the data set is interpreted according to the interpretation mark table, the position and range of the blasting rock mass structure surface are labeled, and the labeled training dataset is generated. Then, a deep learning model is constructed, and finally, the labeled training dataset is used for training to realize the intelligent identification of multi-level blasting rock mass structure surface. The application can clearly show the spatial effect of blasting structure surface, analyze its distribution characteristics in the slope, and significantly improve the fine and intelligent level of complex blasting engineering.

The invention belongs to the technical field of geological exploration, and particularly discloses a directional drilling exploration method, which comprises the following steps: constructing a three-dimensional fracture network model of a rock mass to be explored; based on the three-dimensional fracture network model, dynamically optimizing the axis of the main drill hole and the tracks of the multiple spiral branch drill holes; a rock mass integrity index is obtained through the while-drilling sound wave testing system; drilling parameters are dynamically regulated and controlled in real time according to the rock mass integrity index and the uniaxial compressive strength; drilling is carried out according to the dynamically regulated and controlled drilling parameters, the dynamically optimized axis of the main drill hole and the tracks of the multiple spiral branch drill holes, and the occurrence parameters of the structural plane in the hole are determined according to the information in the hole in the drilling process. According to the method, the main drill hole axis and the spiral branch drill hole track are dynamically optimized through the three-dimensional fracture network model, and the structural plane exposure angle error can be reduced; through a space detection network formed by combining the main drill holes and the spiral branch drill holes, the three-dimensional geological information acquisition density and the number of unit footage revealing structural surfaces are greatly improved.

The invention provides a method for surveying and mapping a rock mass structural surface of a high and steep slope, which belongs to the technical field of engineering surveying and comprises the following steps of: arranging an engineering surveying control network according to the terrain of a site slope, and calibrating centimeter-level coordinates of control points; a consumption-level unmanned aerial vehicle is used for collecting side slope images in the control network through close photography, and multi-track photography is carried out; establishing a side slope three-dimensional real scene model by using the collected side slope image; and performing interactive geological interpretation and attitude automatic calculation by using the three-dimensional live-action model to obtain the attitude of the structural surface and form a slope geological catalog map. According to the method, three-dimensional live-action modeling is carried out based on the consumer-level unmanned aerial vehicle approaching photography technology, high and steep slope rock mass structural plane surveying and mapping are carried out on the three-dimensional live-action model, digitization and automation of high and steep slope rock mass structural plane surveying and mapping are achieved, the geological surveying and mapping efficiency and accuracy are effectively improved, cost is low, the construction site practicability is high, and the method is suitable for popularization and application. And the method has good generalizability.