631 results about "Karst" patented technology

The invention discloses a karst underground river system multi-source pollution comprehensive quantitative traceability method, which comprises the following steps: S1, multi-dimensional sample collection and new pollutant screening: carrying out multi-period sampling on a water body, measuring conventional water quality indexes and nitrogen and oxygen isotopes, screening new pollutants, and carrying out targeted quantification on characteristic new pollutants; s2, principal component analysis dimension reduction and pollution factor identification: carrying out principal component analysis on conventional indexes and new pollutant data, extracting principal components of which the cumulative contribution rate exceeds 85%, identifying composite pollution factors, and eliminating secondary interference factors; s3, nitrogen and oxygen isotope auxiliary verification and denitrification elimination: eliminating denitrification interference by utilizing the ratio of delta 15N-NO3 <-> to delta 18O-NO3 <-> in combination with underground water burial depth and runoff velocity, and distinguishing the nitrate source as a chemical fertilizer, soil nitrogen or sewage and wastewater; and S4, PMF model optimization and pollution source quantification: inputting the conventional indexes and the new pollutant concentration matrix into a PMF model, and analyzing the contribution rate of each pollution source.

The invention discloses a reservoir identification method fusing seismic attribute inversion and ancient karst form modeling, and relates to the technical field of reservoir identification and modeling, and the method comprises the steps: carrying out the multi-modal fusion processing of a standardized image data set through an image sensor, obtaining the multi-modal fusion image data, executing the high-precision texture sampling and space alignment processing, and obtaining a multi-modal image data set; generating a cross-modal image fusion matrix; inputting the cross-modal image fusion matrix into an image topological graph structure construction process, establishing an image block node relationship and a spatial connection edge weight, and generating an ancient karst topological graph; and coupling the karst earthquake joint matching graph with the comprehensive reservoir attribute data, establishing an effective reservoir evaluation model, and generating a multi-stage reservoir prediction layer set through weighted fusion and multi-parameter spatial analysis. By constructing an ancient karst topological graph and a karst earthquake joint matching graph, spatial modeling of a complex karst structure and cross-modal correlation analysis of earthquake abnormal attributes are realized.

A design method for preventing and controlling water inrush catastrophe in tunnels and techniques for optimizing actual tunnel construction, specifically: discretizing calculation model into material points, setting virtual boundary layers outside boundary of calculation model; selecting size of horizon of material points to form neighborhood matrix of material points; making crustal stress equivalent to stress boundary condition, making karst cave water pressure equivalent to normal pressure, and converting displacement constraint and tunnel support into displacement boundary conditions; solving speed and displacement of material point, determining whether bonds of all material points meet failure condition, recording local damage situations; after initial balance calculation is stable, simulating tunnel construction process by using material point dormancy method; and according to physical values of optimization parameters of actual tunnel construction obtained by simulation results that meet the requirements of water inrush catastrophe prevention and control, implementing the optimized actual tunnel construction.

The invention discloses a high-pressure jet grouting pile construction optimization control method and system, and belongs to the technical field of pile foundation construction. According to the method, the pile body strength is predicted based on the XGBoost regression model, the HSIO hybrid swarm intelligent optimization algorithm is combined with the artificial bee colony algorithm and the seathead optimization algorithm, the construction parameter combination is dynamically adjusted, and optimal matching of the target strength and the real-time construction state is achieved. The method solves the problems of parameter setting deviation and non-uniform pile forming quality caused by the fact that traditional construction depends on artificial experience, is particularly suitable for high-precision construction requirements under complex geological conditions (such as karst areas and deep and thick sludge layers), remarkably improves the pile body strength stability, construction efficiency and quality controllability, and reduces the construction cost. And meanwhile, material waste and personal error risks are reduced.

The invention relates to the technical field of tunnel construction, and discloses a coal mine goaf karst tunnel construction method which comprises the following steps: S1, performing three-dimensional scanning on the axis and the periphery of a tunnel by adopting a high-frequency geological radar in combination with aerial survey of an unmanned aerial vehicle, and accurately positioning the boundary of a goaf, the development form of a karst cave and filler distribution; and S2, integrating a seismic wave reflection method, drilling and coring data and a geological sketch result, constructing a three-dimensional geological model, and dynamically predicting a potential water inrush and mud inrush risk area. According to the method, a high-frequency geological radar is combined with aerial survey of an unmanned aerial vehicle, three-dimensional scanning is conducted on the axis and the periphery of a tunnel, geological radar data, a point cloud model and tunnel design BIM are integrated, the boundary of a goaf (the error is smaller than or equal to 0.3 m) and the karst cave form are marked, and the collapse risk level is predicted based on rock mass mechanical parameters (compressive strength and fracture density) and hydrological data (seepage paths). Therefore, the method has the advantages of advanced detection, multi-source data fusion and the like, and the resolution of geological forecast is improved.

The invention belongs to the technical field of underground engineering intelligent construction, and particularly discloses a shield tunneling performance prediction method and system based on an interpretable BO-LGBM model, and the method comprises the steps: receiving detection data in a shield tunneling process, and determining tunneling parameters, geological parameters and karst parameters based on the detection data, so as to construct an input feature set; constructing an LGBM model, performing multi-stage screening on the input feature set to obtain a comprehensive feature importance sequence, and determining key target features corresponding to model prediction influence according to the comprehensive feature importance sequence; on the basis of key target features, a Bayesian optimization algorithm is used to optimize hyper-parameters of the LGBM model, and a trained BO-LGBM prediction model is obtained; the BO-LGBM prediction model is used for predicting ground surface settlement, tunneling efficiency, specific energy and overexcavation rate of the detection data; and obtaining a performance index based on the trained prediction model so as to evaluate model performance and prediction precision. According to the invention, the model prediction accuracy of the shield performance can be improved.

The invention provides a karst cave group detection method and device in shield construction, and the method achieves the comprehensive detection of karst caves through a transient electromagnetic and sound wave array composite wave field detection mode, and improves the detection accuracy and detection efficiency of the karst cave group. And feature extraction is performed on the composite wave field detection data through a cross-physical coupling model, a karst cave probability model is established, and quantitative evaluation of a karst cave detection result is realized. When the karst cave possibly exists in the construction direction of the shield tunneling machine, the distribution prediction direction of the karst cave is further determined, and the shield tunneling machine is prevented from entering the karst cave area blindly in the tunneling process. Through the multi-source sensing array carried on the shield tunneling machine, equipment parameters during operation of the shield tunneling machine are collected in real time, potential construction anomalies can be found easily, and the accuracy and timeliness of karst cave detection are improved. Combined analysis is carried out on the composite wave field detection data and the operation parameters of the shield tunneling machine through the risk assessment model, a karst cave risk prediction value is determined, and the accuracy of karst cave risk assessment is improved.

The invention relates to the technical field of geological engineering, in particular to a tunnel karst development degree intelligent evaluation method and device and a medium, and the method comprises the steps: obtaining a multi-source fusion data set; generating a karst development fractal evaluation comprehensive index; determining a tunnel karst key detection area; constructing a three-dimensional medium distribution model of the karst area; carrying out karst area risk grade classification, and establishing a geological risk area prediction model; according to the method, the comprehensiveness and the accuracy of karst development characteristics are remarkably improved by combining multi-source data and a fractal theory; a detection path is dynamically optimized by using a reinforcement learning model, detection blind areas are reduced, and the detection efficiency of key areas is improved; noise reduction and fusion are performed on the data through the generative adversarial network, so that the accuracy of model construction is enhanced; based on the three-dimensional medium distribution model and the risk prediction model, graded evaluation and dynamic prediction of the risk of the karst area are effectively realized.

The invention discloses a tunnel high-pressure gushing water comprehensive treatment method integrating probing, guiding, blocking, discharging and fixing, and belongs to the technical field of tunnel construction. The method comprises the following steps: exploring and dividing geological subsections; drainage: drilling a water diversion hole in the concentrated water gushing channel, and pre-burying a multi-stage drainage pipe for graded pressure reduction; blocking is conducted, specifically, the channel is closed through a layered pressure backfill grouting technology; a permanent drainage system is laid, and a deep drainage pipe is connected; reinforcement is carried out, and radial consolidation grouting and groove jumping type inverted arch dismounting and replacing are carried out; and the whole process is monitored in real time, and construction is dynamically optimized. According to the method, exploration, drainage, plugging, drainage, reinforcement and dynamic regulation and control are organically combined, the problems that water plugging, pressure reduction and cooperation are difficult in high-pressure water-rich karst stratum tunnel gushing water treatment are solved, and the method has the advantages of being prominent in systematicness, thorough in treatment, remarkable in pertinence, safe, controllable, novel in process, reliable in quality, dynamic in regulation and control, high in adaptability, obvious in comprehensive benefit and the like.

The invention provides an experimental device and method for simulating gas invasion well control of a complex karst cave type stratum. The device comprises a well drilling simulation system, a liquid-gas simulation system and a computer control system. The computer control system simulates an overflow and leakage coexistence scene by adjusting the well drilling simulation system and the liquid-gas simulation system, and in actual well drilling, if overflow and leakage occur, corresponding well drilling parameters can be collected according to overflow signals generated by actual well drilling; and corresponding control instructions and control parameters are output through the drilling parameters and the overflow and leakage control strategy, and the treatment effect and treatment efficiency of overflow and leakage coexistence are improved.

The invention discloses large open type karst cave local rock forming equipment and method, and belongs to the technical field of karst area pile foundation construction. The problems that in traditional cloth bag pile construction, the hole collapse risk is high, the bearing capacity is insufficient, and grouting displacement of a steel reinforcement framework occurs are mainly solved. According to the equipment, grout overflow holes distributed in a staggered mode are preset in a variable-diameter hollow steel cylinder body, and a grout overflow groove is formed in the variable-diameter part of the cylinder bottom; the diameter of the upper part of the coarse structure is larger than that of the lower part of the coarse structure; the steel sleeve is anchored at the top of the steel cylinder and has larger diameter; the cylindrical plastic sleeve is adhered to the inner wall of the steel cylinder; the grouting pipe is arranged in the cylindrical plastic sleeve in a penetrating manner; and the annular hoop surrounds the outer side of the fiber bag through the plastic short pipe to form a bamboo-shaped constraint structure. The upper end of the fiber bag is anchored to the steel sleeve, and the lower end of the fiber bag is anchored to an anchor hole in the bottom of the steel cylinder. The equipment is used for large open type karst cave pile foundation construction, the hole collapse resistance is improved through a composite structure of the steel cylinder and the fiber bag, the bearing capacity is increased, and grouting displacement is prevented.

The embodiment of the present application relates to the pile foundation construction technical field, specifically discloses a kind of karst pile foundation leak slurry early warning method and system.The embodiment of the present application is determined by pile foundation construction area, carries out geological radar detection, electrical prospecting and borehole exploration to pile foundation construction area, obtains geological detection data;Monitoring deployment is carried out, and real-time monitoring data is obtained, and three-dimensional monitoring model is established, and visual monitoring display is carried out;Extract multiple key feature data in real-time monitoring data, import into the preset slurry leakage preset model, obtain slurry leakage prediction probability;According to slurry leakage prediction probability, determine slurry leakage early warning level, according to slurry leakage early warning level, early warning and emergency treatment are carried out.The present application breaks through the dependence of traditional grouting process on crack morphology by innovative design of the synergistic plugging mechanism of pH-sensitive pneumatic capsules and geological bonding agents, using the instantaneous negative pressure field effect to drive the directional enrichment of nanomaterials, triggering in-situ strengthening reactions based on the mineral characteristics of rock mass.

The invention discloses a cast-in-place pile pouring process quality detection method capable of sensing ERT on the inner side and the outer side. The cast-in-place pile pouring process quality detection method comprises the steps that conductivity information of the inner side and the outer side of a cast-in-place pile is collected through an electrical resistance tomography electrode array arranged at the bottom of a cast-in-place pile feeding guide pipe; the two-dimensional position information of the electrical resistance tomography electrode array in the pile hole in the horizontal direction is positioned through an ultrasonic transducer array arranged at the bottom of the feeding guide pipe; the depth information of the electrical resistance tomography electrode array is acquired through an incremental encoder and a roller which move along with the feeding guide pipe in the vertical direction; transmitting the obtained conductivity information, the two-dimensional position information and the depth information to a computer imaging system to obtain a three-dimensional conductivity distribution image of the cast-in-place pile, and analyzing the obtained image to realize quality detection of the cast-in-place pile. Total cross-section imaging of concrete and a reinforcement cage can be achieved, and the positions and sizes of karst caves and collapse possibly existing in the pile hole wall can be accurately measured.

The invention discloses a karst region land degradation degree evaluation method. The method comprises the steps of collecting karst multi-source data; constructing a soil quality index, a climate quality index, a vegetation quality index, a terrain quality index, a human activity index and an underground leakage index as a karst region MEDALUS-Karst index system; carrying out standardization and comprehensive score calculation on each index to realize comparability among indexes of different dimensions, and reflecting the land degradation degree of the karst region through a land degradation comprehensive index; the method solves the problems that an MEDALUS model is adopted for land degradation evaluation of the karst region, due to the fact that unique geological structures, hydrological processes and degradation characteristics of the karst region conflict with core assumptions and index systems of the MEDALUS model, key driving factors and spatial distribution characteristics of land degradation are difficult to accurately recognize, and the evaluation accuracy of the land degradation is affected. And thus, the technical problems of lack of pertinence of ecological management measures are solved.

The invention relates to the field of oil exploration, and particularly discloses a karst area oil exploration target optimization and resource quantity prediction method based on three-dimensional geological modeling. The method comprises the steps that firstly, seismic data, logging data and a rock core analysis result of a karst area are collected, data normalization and time-depth conversion are carried out, and a three-dimensional geologic model fusing structural constraints and physical property constraints is constructed; then multi-attribute indexes such as a coherent body, curvature, amplitude attenuation, deep lateral resistivity and interval transit time are selected, and karst development indexes are calculated through principal component analysis; in combination with parameters such as reservoir thickness, porosity, permeability, trap integrity and oil and gas display, utilizing a multi-index weighted scoring method to screen exploration favorable blocks; and finally, calculating reserves according to a volumetric method to obtain resource quantity prediction results of different target areas. According to the method, three-dimensional fusion modeling, multi-index quantitative optimization and chained calculation of multi-source data are realized, and quantifiable and traceable technical support is provided for oil exploration deployment in a karst area.

The invention relates to the technical field of hidden danger early warning, in particular to a karst groundwater intelligent early warning and cooperative prevention and control method and system.The method comprises the steps that cooperative monitoring is conducted on target pollutants and multi-element physical and chemical parameters, and multi-source heterogeneous data are collected; constructing a digital twinborn model, fusing multi-source heterogeneous data, introducing a periodic active hydraulic disturbance diagnosis mechanism, dynamically updating the state of the model, and realizing simulation and prediction; comparing a prediction result of the model with a dynamic threshold library, and automatically triggering a grading early warning signal; in response to the grading early warning signal, reversely positioning the position of the pollution source by utilizing an adjoint equation method and combining a particle backtracking algorithm, comprehensively performing cross validation, and generating a pollution source probability distribution diagram; according to the early warning level and the pollution source probability distribution diagram, calculating an optimal prevention and control scheme, and generating a specific execution instruction; and the execution mechanism receives and executes the instruction. Therefore, the problems of pollution discovery lagging, tracing difficulty, high treatment difficulty and the like are solved.

The invention discloses a comprehensive evaluation method for determining the karst stability of a high-speed railway, and the method achieves the precise classification of the karst stability through quantifying seven indexes in a hydrodynamic condition, karst roof features and karst cave features, and combining a weight coefficient to calculate a comprehensive evaluation score. The method solves the problems of high subjectivity, incomplete indexes and the like in the prior art, has the advantages of high objectivity and high operability, and is suitable for design, construction and safety evaluation of high-speed rail engineering.

The invention belongs to the technical field of civil engineering, and discloses a karst area shield tunnel modeling method based on real data, which comprises the following steps: S1, collecting real geological exploration data of a tunnel construction area, and obtaining point cloud data of a karst cave and a stratum represented by three-dimensional space coordinates; s2, preprocessing the collected point cloud data, including removing noise points and normalizing coordinates; s3, reconstructing a three-dimensional geometric model of the karst cave based on the point cloud data, analyzing geometric features of the karst cave and outputting a three-dimensional model file; s4, in finite element software, establishing a three-dimensional model of the shield tunnel and the stratum according to the design parameters; and S5, importing the reconstructed karst cave three-dimensional model into Abaqus, and integrating the reconstructed karst cave three-dimensional model with a shield tunnel and a stratum model to realize karst region shield tunnel integrated digital modeling. According to the method, the authenticity, efficiency and compatibility of geological modeling are improved, and a digital basis is provided for subsequent simulation analysis and engineering design.

The invention provides a complex fractured rock mass grouting geologic model modeling method which comprises the steps that grouting related information is obtained, a grouting geologic model is built based on the grouting related information, and the grouting geologic model comprises a grouting geologic structure model, a grouting environment parameter model and a grouting engineering characteristic model. According to the method, various grouting related information is expressed as a grouting characteristic model through a large-area extrapolation modeling method, a rock mass parameter determination-random modeling method and a discrete fracture network modeling method; comprise a grouting geologic structure model (a rock mass model, a fracture model and a karst cave model), a grouting environment parameter model (a rock mass strength model and a rock mass permeability rate model) and a grouting engineering characteristic model (a slurry material partition model and a grouting pressure model), and verification is carried out based on project field examples of the Zhuang hydro-junction. It is proved that under the condition that the geological condition and the actual grouting construction method are fully considered, the accuracy of the analysis result of the grouting geological model is high.

Disclosed are a method and an apparatus for determining a safe distance for a karst cavity, a device, and a storage medium. The method comprises: acquiring geological survey data of a target karst region, and constructing a geological simulation model of the target karst region on the basis of the geological survey data; on the basis of feature information of a target karst cavity, constructing a spatial simulation distribution model of the target karst cavity; on the basis of tunnel design parameters, integrating the geological simulation model and the spatial simulation distribution model to obtain a tunnel construction model of the target karst cavity; embedding preselected vehicle information into the tunnel construction model to obtain a corresponding tunnel operation model; and creating disaster simulation events, performing risk prediction for the tunnel operation model, and determining a safe distance for the target karst cavity on the basis of risk prediction results. The method and apparatus for determining a safe distance for a karst cavity, the device, and the storage medium in the present invention optimize tunnel design and construction, ensure the safety of tunnel construction and operation, and provide accurate data model support for actual tunnel engineering.

The invention discloses a shield front karst fissure grouting plugging method based on feedforward identification and directional regulation and control, which comprises the steps of front geological information acquisition, target area identification, grouting path planning, parameter adaptive regulation and control, directional grouting execution and plugging effect feedback. Feature fusion processing of geometric features of the cavity region from a time domain to a frequency domain is realized, geological types and features of the cavity region are analyzed in combination with data, and remarkable reduction of cavity three-dimensional coordinate positioning errors and remarkable improvement of boundary recognition precision are realized; in the drilling process, the boundary of the cavity is sensed in real time, synchronous grouting and air exhaust are achieved through automatic deviation correction of the posture adjusting mechanism and the double-through-hole design, air pressure fluctuation in the cavity is controlled within a safe and stable range, and the risk of cavity collapse caused by air pressure changes is effectively prevented.

The invention relates to the technical field of pollution risk assessment, and provides an AI-based karst region soil-underground water cooperative pollution assessment system. According to the system, multi-source soil and underground water heavy metal time sequence monitoring data are fused, cross-medium collaborative characterization characteristics are constructed, an enhanced time sequence modeling method with a parameter efficient adaptation capability is introduced, and a composite dynamic loss function oriented to non-stationary pollution evolution characteristics is designed; and collaborative prediction and uncertainty description of the heavy metal pollution states of the soil and the underground water are realized. Furthermore, a prediction result is combined with spatial gridding analysis, a collaborative pollution risk index and a risk zoning result are constructed, technical conversion from pollution evolution modeling to spatial risk assessment and early warning output is realized, and reliable technical support is provided for dynamic early warning, graded prevention and control and environment management decision of heavy metal pollution in the karst region.

The invention provides a karst collapse risk assessment method and device, electronic equipment and a storage medium. The method provided by the invention comprises the following steps: acquiring geological index data; according to the size of the line karst rate, determining the regional type of karst division, and forming a three-dimensional geologic model according to the regional type of karst, the thickness of a covering layer and the elevation of a stratum interface; judging whether the current area is a high deformation gradient area or not, judging whether the current area is a fracture structure control area or not, and judging whether the current area is a water level fluctuation sensitive area or not; forming a fuzzy fault tree structure, and performing Monte Carlo simulation on a grid to obtain a grid-level collapse risk probability; and determining a dynamic risk comprehensive index according to the grid-level collapse risk probability, the currently monitored covering layer pore water pressure and the line-of-sight deformation rate, and determining a risk level according to the dynamic risk comprehensive index. According to the method, real-time monitoring and dynamic analysis of surface deformation can be realized, and the accuracy of risk assessment can be improved.

The invention discloses a geopolymer-based recycled fine aggregate shield synchronous grouting material and a preparation method thereof. The grouting material is composed of a cementing material, an alkali activator, aggregate, a water reducing agent, a retarder and water, and the cementing material is a geopolymer precursor and is composed of fly ash, slag and metakaolin; the aggregate is composed of river sand and recycled fine aggregate. By optimizing the proportion and the preparation process, the material has the characteristics of excellent flowability, controllable setting time, high early strength, good impermeability, good durability and the like, and is suitable for synchronous grouting of shield tunnels in water-rich sand layers, high-water-pressure stratums or corrosion stratums. The invention also provides two optimization methods which are respectively based on a response surface method and a BP neural network combined genetic algorithm to realize multi-objective optimization of slurry performance. According to the material, dependence on traditional cement and gravel resources is remarkably reduced, energy consumption and carbon emission are reduced, high-added-value resource utilization of industrial solid waste and construction waste is achieved, and the material conforms to the development direction of green low-carbon building materials.

The invention relates to a karst area rock sample penetration damage simulation method and system based on discrete elements, and belongs to the field of geotechnical engineering. The invention discloses a karst area rock sample penetration damage simulation method based on discrete elements. The karst area rock sample penetration damage simulation method comprises the following steps: S1, constructing a fracture damage constitutive model reflecting a karst area rock discontinuous surface position; s2, inputting parameters and conditions based on a discrete element method and the fracture damage constitutive model reflecting the position of the rock discontinuous surface in the karst area, and calculating particle stress information; s3, calculating the particle speed and displacement according to the particle stress information to obtain a calculation result; s4, outputting the calculation result; wherein in the step S2, according to the position relation between the particles and the discontinuous surface, the damage coefficient of the discontinuous surface is introduced, the particle stress information is dynamically corrected, and the penetration mechanical response under different discontinuous surface positions is accurately simulated. According to the method, the position and the crushing damage degree of the discontinuous surface of the rock are considered, a new rock sample model is constructed, and more accurate simulation is realized.

The invention discloses a method and system for simulating a reservoir crustal stress field, and the method comprises the steps: obtaining the development characteristics of a natural fracture in a to-be-researched region, and constructing a fracture model for simulating the actual distribution state of the natural fracture; acquiring a seismic data volume of the to-be-studied area and development, distribution and seismic response characteristics of the holes, and on the basis of the seismic data volume and the development, distribution and seismic response characteristics of the holes, acquiring seismic response characteristics and spatial distribution characteristics of the karst caves and the natural fractures by combining the fracture model, and further acquiring distribution characteristics of the fractured karst so as to construct a fracture-cavity model for simulating the actual fracture-cavity distribution state; the method comprises the following steps: respectively acquiring dynamic parameters and static parameters of rock mechanics of a to-be-studied area, acquiring a correlation between the dynamic parameters and the static parameters, and establishing a mechanical parameter field model based on the current correlation in combination with a fracture-cavity model to obtain a crustal stress field simulation model of the to-be-studied area. According to the invention, effective simulation of the reservoir crustal stress field is realized.

A calculation method of karst underground reservoir capacity curve based on hydrogeological parameters, including the following steps: hydrogeological exploration, determination of karst underground water reservoirs scope, determination of water storage space, determination of relevant hydrogeological parameters based on hydrogeological tests, and underground reservoir capacity analysis. The invention uses the unit water permeability and the borehole line karst rate that are very easily obtained through the borehole pressure (injection) water test and combines it with a small amount of water pumping test, thereby obtaining a correlation function relationship through regression analysis between the specific yield and the karst rate that are difficult to obtain and the unit water permeability or the permeability coefficient; the underground storage capacity at the corresponding elevation is calculated according to the specific yield or the karst rate and the underground storage capacity curve is obtained, which can improve accuracy and reduce errors.

The invention provides a karst cave distribution detection method based on elastic wave CT and monitoring data fusion. The method comprises the steps that initial surrounding rock elastic wave characteristic data and geological data are collected to serve as basic data; periodically carrying out elastic wave CT detection to obtain dynamic wave velocity data of the surrounding rock, and collecting geological environment monitoring data and construction condition parameter data in real time; carrying out anti-interference processing on the elastic wave CT detection data and the monitoring data, and based on the processed elastic wave CT wave velocity data, extracting signal features of the karst cave through a feature recognition model; and fusing the processed elastic wave CT data, the synchronized monitoring data and the construction condition parameters, constructing a three-dimensional karst cave distribution model, and determining a karst cave distribution condition based on the constructed distribution model. According to the method, the propagation difference of the elastic waves in the karst cave and the surrounding rock medium is captured through the elastic wave CT, and accurate detection of karst cave distribution is achieved by combining monitoring data fusion optimization.

The invention relates to the technical field of geological exploration, in particular to a dynamic slurry pressure regulation and control method for large-diameter slurry shield launching of a karst development stratum, which comprises the following steps of: extracting settlement monitoring data to identify a trend reversal section, analyzing attitude and pressure data linkage, identifying a linkage response interval, extracting slurry and tunneling data to judge slurry supply deviation, according to the method, the settlement trend, the pressure and the posture change information are fused, the linkage relation between the posture and the pressure is established, the abnormal section is recognized in combination with the deviation of the ratio of the slurry supply to the surrounding rock exposure volume, and the adjustment value is generated according to the pressure change trend. Dynamic pressure regulation and control are achieved, the pressure can be actively corrected at the initial stage of settlement change, it is ensured that slurry supply and stratum supporting are coordinated, stratum instability and posture deviation are restrained, the timeliness and adaptability of pressure response at the starting stage are improved, and shield tunneling safety and stratum stability are guaranteed.