748 results about "Cave" patented technology

The invention discloses a rescue method and system of a rescue robot for exploration, and relates to the technical field of underground space rescue, and the method comprises the following steps: obtaining multi-path acoustic echo data of a karst cave and motion track data of the robot, and constructing a three-dimensional point cloud model according to the multi-path acoustic echo data and the motion track data of the robot; and identifying unmatched data in the multi-path acoustic echo data and the robot motion trail data, and taking an area where the unmatched data is located as an abnormal area. According to the method, the spatial resolution of signal acquisition is enhanced through the multi-microphone array, robust acoustic fingerprints are extracted in combination with a noise reduction algorithm and short-time Fourier transform, high-confidence human body sound source signals are screened out by using a feature template matching mechanism, accurate extraction and recognition of human body acoustic features in a karst cave complex noise environment are realized, and the accuracy of human body acoustic feature recognition is improved. The problem of misjudgment caused by confusion of sound source features and environmental noise in a traditional method is effectively solved.

The invention discloses a karst cave pile foundation grouting real-time control system based on optical fiber sensing and AI dynamic optimization, which relates to the field of pile foundation grouting real-time control and comprises a data acquisition module, an intelligent analysis module, a dynamic optimization module and a feedback control module. Normalized optical fiber input vectors and geological input vectors are obtained by analyzing karst cave optical fiber sensing data and geological parameter data, fusion is performed through a double-branch convolutional network, a grouting diffusion prediction model is constructed through a convolutional neural network, the slurry diffusion radius and the filling saturation are output, the model is constructed based on an isolated forest algorithm, and the grouting diffusion prediction model is constructed. The method comprises the following steps: calculating abnormal score early warning, establishing a mapping model, and dynamically adjusting the weight to obtain a Pareto optimal solution set adjusted in each construction stage, and a closed-loop control module can perform timely early warning adjustment on an accident according to the Pareto optimal solution set adjusted by real-time progress and rescreening parameters, can sense data in real time to form closed-loop feedback, and meets the requirements of engineering economy.

The invention provides a pile foundation pore-forming quality control method under complex karst geology, which comprises the following steps: generating a karst cave distribution feature set and a stratum abnormal point set based on karst geology survey data; then, determining a karst cave development trajectory sequence set, carrying out risk partitioning, and identifying a high-risk karst cave development region set; according to the method, a high-risk hole site set and a high-risk stratum node set are determined, and then a karst geological risk map is constructed. And based on the map, generating a pore-forming process path set and a pore-forming risk thermodynamic diagram, and superposing the pore-forming process path set and the pore-forming risk thermodynamic diagram to the pile foundation construction plan to form a pile foundation pore-forming risk thermodynamic diagram for visually displaying construction risks and guiding pile foundation construction. According to the method, the quality and safety of pile foundation hole forming under the complex karst geological condition can be improved, and the construction risk is reduced.

The invention provides a rapid karst cave modeling method and system based on multi-source data, and the method comprises the steps: collecting multi-source data including geological exploration data, remote sensing data and unmanned aerial vehicle aerial photography data, and carrying out the preprocessing of the multi-source data; fusing the preprocessed data by adopting a weighted fusion or principal component analysis method; extracting shape features, size features and position features from the fused data; the extracted karst cave features are converted into point cloud data or grid data, and a karst cave model is constructed through three-dimensional modeling software; performing vertex editing and patch adjustment on the initial model, and correcting the model form in combination with expert experience; and comparing the constructed karst cave model with actual geological data, and if an error exceeds a preset threshold value, iteratively adjusting model parameters until a precision requirement is met. According to the method, efficient extraction, accurate modeling and dynamic optimization of the karst cave geological information can be 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 sea water area karst cave group transient electromagnetic collaborative investigation data processing method and system, and the method comprises the steps: transmitting a wide frequency spectrum excitation signal to the seabed through a shipborne transient electromagnetic transmitting system, and synchronously collecting a secondary field attenuation signal responded by a seabed medium through a pull-type receiving array, meanwhile, a distributed sensor network is arranged at a preset seabed node to collect background noise base data; performing motion attitude compensation on the secondary field attenuation signal to generate transient electromagnetic response data; constructing an adaptive filter based on the background noise base data, performing noise suppression processing on the transient electromagnetic response data, and outputting noise suppression data; and performing space-time alignment on the noise suppression data of the towed array and the seabed node data to form a three-dimensional space sampling data set. According to the method, high-precision fusion of deep and shallow detection data and quantitative evaluation of the stability of the karst cave are realized, and the detection reliability and the engineering risk early warning capability of the complex ocean karst area are remarkably improved.

The invention discloses a geotechnical engineering investigation and analysis method and system based on multi-source data fusion, and belongs to the technical field of geological prospecting, and the method comprises the steps: collecting multi-source heterogeneous data of drilling holes in a karst area, and generating a comprehensive feature vector of the drilling holes; according to the drilling comprehensive feature vector, establishing a graph attention network, and generating an update feature; according to the updated features, generating an exploration prediction result of geotechnical engineering; establishing a dynamic adjustment model, and generating a model weight set value of the graph attention network; adjusting the model weight of the graph attention network according to the model weight set value of the graph attention network; according to the method, the multi-source heterogeneous data of the drill holes are converted into the comprehensive feature vectors of the drill holes, so that the problems of data isomerism and information islands are solved; in combination with a dynamic graph attention network, the model weight is optimized in real time, and the accuracy and adaptivity of karst cave distribution prediction under the complex karst geological condition are remarkably improved; and meanwhile, continuous iterative optimization can be carried out on the model, and the geotechnical engineering investigation accuracy of the karst area is improved.

The invention discloses a tunnel water inrush monitoring and early warning method under the water-rock coupling effect, and relates to the technical field of karst tunnels. Through the design of the method, the positions of karst caves and fractures of tunnels containing complex geological conditions such as karst caves and fractures under the water-rock coupling effect can be detected, the real-time change of water-containing fracture stress is detected, address disaster influence factors are analyzed based on machine learning to obtain evaluation indexes of the address disaster influence factors, and the evaluation indexes of the address disaster influence factors are analyzed. Therefore, a tunnel water inrush monitoring and early warning system is established, and a more accurate and rapid early warning method is provided for the tunnel water inrush problem.

The invention discloses a grotto temple cavern microenvironment monitoring data quality control and evaluation method, and particularly relates to the field of grotto temple cavern microenvironment monitoring data, and the method comprises the steps: obtaining grotto microenvironment monitoring data, carrying out the time-space reconstruction of the grotto microenvironment monitoring data, and building a data expression basis with a consistent attribute structure. An execution entry is provided for subsequent processing; potential abnormal fragments are identified from the cross relation between the time rhythm and the numerical value change, abnormal points are eliminated, and the validity of the cave microenvironment monitoring data value domain is guaranteed; the problem of disordered timestamp sequence is recognized, a correct sorting structure is recovered in combination with a trend rule, and time sequence consistency is guaranteed. By constructing a multi-stage closed-loop processing chain with rhythm change recognition, numerical mutation elimination, trend sequence recovery and structure quality fusion as the core, structure unification, anomaly recognition, time sequence correction and credibility output of monitoring data are achieved, and therefore effectiveness, consistency and application value of the monitoring data are systematically improved.

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 provides a real-time monitoring method and system for the construction quality of a jet grouting pile and a storage medium, and relates to the technical field of the construction quality of the jet grouting pile. Pressure sensors, flow sensors and micro-seismic sensors are arranged at an outlet of a jet grouting pile pipeline and a drill bit, multi-dimensional time sequence data with the high signal-to-noise ratio are collected, self-adaptive filtering and drifting correction are conducted, and the real-time monitoring of the construction quality of the jet grouting pile is achieved. Generating a dynamic trajectory based on Takens phase space reconstruction, calculating a rheological entropy and constructing a four-dimensional space-time diffusion field; after the field is projected to a construction plane, an underground karst cave network model is continuously corrected by utilizing Bayesian updating, multi-stage early warning is triggered in a quantitative and graded manner according to an entropy value and a filling rate, and a filling quality thermodynamic diagram is generated, so that high-precision, dynamic and visual monitoring and guidance of a slurry diffusion process are realized.

The invention relates to a deep stratum well hole and cave mining system and method, the system comprises a traffic well hole system, the traffic well hole system is provided with at least one well hole smaller than 1 m, an internal channel formed by the well hole is communicated with a cave formed by excavation, and the internal channel formed by the well hole is configured to be a flow-back channel and / or an injection channel; the well hole and cave mining device is provided with a crushing assembly and / or a cleaning and transporting assembly, the crushing assembly is used for carrying out form-controllable mining on the ore on the cave rock wall surface, and the cleaning and transporting assembly is used for cleaning ore particles in the cave or transporting the ore particles to the flowback channel; and the particle flow lifting system is used for lifting the extracted ore particles out of the well through the flow-back channel. The technical problems that when caves of deep stratums are mined, the supporting effect is poor, and the ore particle clearing and transporting efficiency is low are solved, and large-scale and high-efficiency mining operation can be conducted on the deep stratums or non-hard stratums.

The invention belongs to the technical field of karst geology bridge foundation construction and foundation treatment, and discloses a strong development karst geology bridge pile foundation grading treatment and composite pile forming construction method, which realizes on-demand treatment and grading construction through advanced geological detection and karst grade division and reasonable selection of construction modes according to different karst cave types. The problems of material waste and excessive grouting caused by construction are effectively avoided; a conventional cast-in-place pile is directly adopted in a micro-pore area, the process is simplified, and the cost is saved; for isolated karst caves and through karst caves, low-pressure grouting and synchronous pouring are designed correspondingly, the treatment difficulty is lowered, and the field resource utilization rate is increased; the construction method has extremely high field adaptability, can flexibly deal with complex and changeable karst structures, effectively realizes segmented independent grouting by adopting a multi-segment isolation guide pipe structure and combining with an intelligent grouting-pouring synchronous control system, and prevents slurry streaming or concrete loss between different construction depths.

The invention relates to a composite interactive water-rich stratum efficient grooving ultra-deep underground diaphragm wall and a construction method. The construction method comprises the following steps of cement mixing pile groove wall reinforcement, guide wall foundation steel pipe pile built-in, guide wall novel template system installation, soft soil layer grab bucket grooving, karst cave drilling and grouting, rotary digging drill rock breaking and karst cave backfilling and double-wheel milling groove milling. The method has the beneficial effects that the groove wall is reinforced by the cement mixing piles, so that the groove wall is prevented from collapsing; the assembled drainage device is adopted, so that the construction efficiency is improved; the steel pipe piles are connected with the guide wall, so that the stability of the guide wall is improved; the steel plate groove is used as a guide wall template, so that the template turnover rate is improved; the open type steel box is placed on the groove opening, so that the risk of collapse of the groove wall is reduced; gaps and holes are blocked through drilling and grouting, then guide holes are rotationally excavated, and the karst cave is backfilled with plain concrete, so that the construction problem of grooving at the karst cave is solved; through the cooperation of the steel casing hoisting and positioning device, the construction efficiency of the rotary excavating guide hole is improved.

The invention discloses a single-hole pressure adjusting method, device and equipment for a water curtain test of an underground water-sealed cave depot and a storage medium, and relates to the technical field of geological engineering.The method comprises the steps that firstly, a rock mass acoustic impedance spectrum is collected, intrinsic mode decomposition is carried out to extract geologic feature components, and the rock mass acoustic impedance spectrum is obtained; processing the target pressure value, the current pressure value and the geologic feature component by using a pressure-opening coupling model based on acoustic feature extraction, time sequence dynamic analysis and physical constraint decoding to obtain a reference valve opening; then, a water curtain hole valve is adjusted according to the reference valve opening degree, and the pressure change acceleration is monitored in real time; calculating an opening compensation increment and a damping attenuation coefficient based on the pressure change acceleration, and further generating a target valve opening; and finally, the valve is adjusted to the target opening degree, so that the water curtain hole reaches the target pressure value. According to the invention, high-precision self-adaptive adjustment of the pressure of a single water curtain hole can be realized in the water curtain test of the underground water-sealed cave depot.

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 discloses a karst cave data intelligent classification prediction method and system based on Kalman filtering and improved CNN-LSTM, and belongs to the technical field of artificial intelligence, and the method comprises the steps: collecting shield tunneling parameter data, and obtaining the feature information of a karst cave in front of a shield tunneling machine; performing data cleaning on the shield tunneling parameter data and the karst cave feature information; establishing a karst cave prediction model through a model structure of a convolutional neural network, a long-short-term memory network and a full-connection network; and deploying the karst cave prediction model into a shield tunneling system, inputting shield tunneling parameter data, and carrying out karst cave classification prediction. Denoising processing is carried out on the data, the influence of random noise on model training is reduced, and therefore the accuracy of the network model is improved. Through the hybrid model, the local feature extraction capability of the convolutional neural network, the time sequence prediction capability of the long and short-term memory network and the feature fusion and mapping advantages of the full-connection network are combined, so that the high-precision prediction of the karst cave is realized.

The invention discloses a construction method of an E-shaped portal rigid frame structure under the condition of multi-level height limitation, the E-shaped portal rigid frame structure is hoisted and constructed under the condition of multi-level height limitation, and the multi-level height limitation comprises eight levels of heights from an area A to an area H. Construction planning is conducted, specifically, the E-shaped portal rigid frame structure is vertically divided into three vertical areas including an area I, an area II and an area III, and each vertical area is transversely divided into five transverse areas; step 2, filling a karst cave: filling a cave body by using sleeve valve pipe grouting according to filling requirements; 3, pipe pile construction is conducted, specifically, pile driving is conducted in place in the construction area through a pile machine; 4, foundation construction is conducted, specifically, foundation construction is completed in the construction area; and 5, steel structure construction is conducted, specifically, construction of five transverse areas is sequentially conducted in the three vertical areas at the same time. According to the construction method, smooth construction of the portal rigid frame structure within the limited hoisting height is ensured, and the requirements for safety, quality and construction period efficiency are met.

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 invention provides a coal seam collaborative anti-reflection method and a cave forming device. The coal seam cave forming device comprises a mounting main body and a blade mechanism for rotationally forming a cave. The collaborative permeability increasing method for the coal seam comprises the following steps that a coal seam sample is collected, experimental analysis is conducted, and the optimal acidizing fracturing fluid proportion is determined; fracturing drill holes and gas extraction drill holes are constructed; acid fracturing operation is carried out, and then gas extraction is carried out; gas extraction data are continuously monitored, and the extraction effect and abnormal conditions are analyzed; early warning is conducted on the extraction abnormal area, the extraction abnormal area is marked as a potential blank zone, rechecking is conducted through the micro-seismic monitoring technology, and the range and characteristics of the blank zone are determined; according to the geological conditions of the coal seam of the blank zone area, hydraulic punching or mechanical hole making is carried out to supplement pressure relief and permeability increasing measures; and gas extraction is recovered, and monitoring is enhanced. According to the method, a blank zone is effectively eliminated, efficient, uniform and long-term extraction of coal seam gas is guaranteed, and double optimization of the extraction effect in time and space is achieved.

The invention relates to the technical field of cave three-dimensional modeling, in particular to a cave three-dimensional modeling method and system based on multi-sensor fusion, and the method comprises the steps: recognizing a simulation feature network point set, calculating the simulation precision according to the simulation feature network point set and an actual verification network point set, carrying out the point drawing according to the area of a unit test grid and the simulation precision, and carrying out the calculation of the simulation precision. Performing regression analysis on the area precision point set to obtain an area precision regression line; constructing a triangular plane current grid according to a current to-be-measured cave region; performing inner wall secondary sensing sampling on the three-dimensional unit current grid according to predicted regression precision to obtain a secondary three-dimensional sampling point set; and performing three-dimensional correction on the current grid of the three-dimensional unit by using the secondary three-dimensional sampling point set to obtain an initial cave three-dimensional model, and fusing the cave sensing image and the initial cave three-dimensional model to obtain a target cave three-dimensional model. According to the invention, the laser sampling efficiency and the cave three-dimensional modeling precision can be improved.

The invention discloses a karst cave body geological scale apparent volume calculation method and device, electronic equipment and a medium. The method comprises the following steps: carrying out karst cave plane boundary correction and depiction, and calculating the maximum bottom surface projection area of a karst cave body; determining the cave height based on the wave impedance; and calculating the volume of the cave according to the projection area and the cave height. Based on a karst cave body cylinder approximation estimation method, the geologic scale apparent volume of the karst cave body can be quickly and effectively calculated, and a basis is provided for accurate calculation of the static reserves of the fracture-cavity oil reservoir.

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.

A method for modelling a block cave mine comprising: at each of a plurality of spaced apart muon detection locations located in, or in a vicinity, of the block cave mine: detecting muons that interact with a muon detector over a time period; determining, from the interactions, measured directional muon intensities for a plurality of directions intersecting at the muon detection location; and optimizing an objective function to thereby obtain optimal values for a plurality of model parameters which parameterize a model of the block cave mine, wherein the objective function attributes cost to a difference between the measured directional muon intensities at the plurality of muon detection locations and modelled directional muon intensities at the plurality of muon detection locations, the modelled directional muon intensities based at least in part on the model parameters.

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 discloses a preparation method of solid waste for filling a karst cave, and relates to the technical field of buildings. Comprising the following steps: pretreating solid waste to obtain first pretreated solid waste; sieving the first pretreated solid waste to obtain a second pretreated solid waste; mixing the second pretreated solid waste with a slurry additive to obtain karst cave filling slurry; wherein the solid waste comprises at least one of mud, excavation soil and sludge. The solid wastes such as the slurry, the excavation soil and the sludge have the characteristics of fine particles, easiness in stirring, good dispersity and no pipeline blockage, so that the pollution of materials such as low-grade concrete, neat cement paste and composite paste slurry to water and soil environments can be avoided, and the raw material cost required by pouring and backfilling construction can be saved; and the outward transportation cost of solid wastes such as surface soil and slurry and the cost for treating environmental pollution are saved.

The invention relates to the technical field of karst cave exploration, and discloses deep hole karst cave exploration equipment which comprises a moving body, a center groove is formed in the center of the moving body, a deformation groove is formed in the side edge of the moving body in an up-down sliding mode, and a telescopic mechanism is arranged between the deformation groove and the side edge of the moving body. By arranging the detection body, the detector, the direction nozzle, the power nozzle, the stable extension pipe, the heat insulation flexible pipe and the like, the device can pass through a deep detection hole and enter a karst cave, the power nozzle sprays air outwards to drive the detection body to move forwards, and the detection body can be driven to move forwards. The direction nozzle sprays air to adjust the angle of the detection body, and the air drives the detection body to be flexibly utilized in the karst cave.

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.

This application discloses a cave filling construction method. First, the filling area is scanned to determine the location and size of the cave. Second, based on the location and size of the cave, multiple grouting pipes are inserted along the edge of the filling area, with the lower ends of the grouting pipes connected to the upper part of the cave. Double-liquid grouting is performed into the cave through the grouting pipes. The reactants of the injected double-liquid slurry gradually accumulate from the bottom of the cave to the top of the cave, forming a sealing curtain along the edge of the filling area. Finally, after the sealing curtain is formed, holes are drilled into the cave within the filling area and filling material is poured until the cave within the filling area is completely filled with the filling material. This application has the effect of reducing the amount of filling material used in cave treatment.