1022 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.

Provided in the present invention is a construction method for a karst tunnel to extend through a karst cave. The construction method comprises the following steps: (1) excavation expansion and support for a karst cave; (2) dredging of the base of the karst cave, and backfilling; (3) inverted-arch and filling construction; (4) water-stop wall construction, and concrete backfilling on two sides; (5) initial support construction; (6) initial-support top backfilling and waterproof-layer construction; (7) secondary-lining waterproofing and drainage construction; (8) mounting and debugging of a water pressure monitoring system; and (9) implementation of a monitoring and early-warning scheme. The construction method is suitable for engineering in unfavorable geological conditions, for example, a water-rich karst tunnel extending through large underground karst caves, karst troughs and underground rivers. In the construction method, the operation difficulty of the steps is relatively low, the construction quality is controllable, there are few construction blind areas, and the safety of construction is relatively high; the initial runoff balance of karst cave underground water can be maintained, and thus the surrounding ecological environment can be protected to the maximum extent.

The invention relates to artificial intelligence and data processing technologies, and discloses a mine cave experience pavilion large-span roof stability prediction method, which comprises the following steps: collecting data through sensor data collection, visual information collection and real-time environment data collection, and carrying out data fusion and cleaning; inputting sensor data, visual data and environmental disturbance data and outputting an instability risk level based on a multi-modal data prediction model; constructing a risk grade division standard according to the predicted instability risk grade; and dynamically updating the instability probability by using a Bayesian method in combination with historical data and real-time data. The large-span roof safety risk prediction method can accurately predict the safety risk of a large-span roof, so that potential safety risks and hidden dangers can be found in time, hidden dangers can be eliminated in time or personnel and property are transferred, and personnel and property safety is guaranteed.

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.

The invention discloses a soft rock cave slag green concrete and a preparation method thereof, and belongs to the technical field of solid waste resource utilization, the soft rock cave slag green concrete comprises the following raw materials: cement, a cave slag rock-based mineral admixture, a continuous grading soft rock cave slag coarse aggregate, a soft rock cave slag fine aggregate, a soft rock modifier, a water reducer and water. According to the preparation method, the waste soft rock cave slag in the tunnel excavation process is used for processing the coarse aggregate and the fine aggregate, the waste cave slag is used for processing the cave slag rock-based mineral admixture, meanwhile, the soft rock modifier is adopted for modifying the soft rock coarse aggregate and the soft rock fine aggregate, and the soft rock cave slag green concrete is prepared. The prepared soft rock cave slag green concrete has the advantages of being green, environmentally friendly, low in cost, good in durability and the like.

The invention provides a karst cave environment data analysis method and system based on artificial intelligence, and the method achieves the high-precision prediction of a karst cave environment evolution mode and risk knowledge points through obtaining the karst cave environment monitoring data of a first template and a second template, and carrying out the multi-round parameter learning. By constructing the cave environment evolution mode prediction network and the cave environment risk prediction network, the evolution mode characteristics of the cave environment and the corresponding risk knowledge points can be accurately estimated and predicted. In the network parameter learning process, through continuous iterative optimization, the prediction network gradually approaches the real situation until the network convergence requirement is met, so that the cave environment risk prediction network and the cave environment evolution mode prediction network with high-precision prediction capability are generated, the intelligent level of karst cave environment monitoring is improved, and the prediction efficiency is improved. And accurate prediction of the environmental evolution mode of the karst cave and timely discovery and early warning of potential environmental risk points are realized.

The invention provides a circular through karst cave physical model test device and method, belongs to the field of physical property test analysis, and is used for preparing a karst foundation model test block and carrying out a simulation experiment. The circular through karst cave physical model test device comprises a model frame with an opening in the top and a reinforcing structure arranged on the periphery of the model frame. The device further comprises a cylindrical cavity reserved part, the cavity reserved part is located in the model frame, the two ends of the cavity reserved part penetrate through the model frame, rock mass similar materials are poured into the model frame to form a karst foundation model test block, and after pouring is completed, the reserved part forms a penetrating cylindrical cavity in the karst foundation model test block. The device is combined with the method, so that the simulation precision of the model test block on the karst foundation is improved, the influence of the karst cave on the stability of the foundation is conveniently and intuitively analyzed, and a powerful experimental basis is provided for design and treatment of the karst foundation.

The invention belongs to the technical field of underground gas storage, and particularly relates to a long-term efficient hydrogen storage composite lining structure for an underground rock cavern and a preparation method of the long-term efficient hydrogen storage composite lining structure. The long-term efficient hydrogen storage composite lining structure for the underground rock cavern comprises surrounding rock and an internal composite structure of the surrounding rock. The surrounding rock reinforcing layer is formed by pressure pre-grouting in surrounding rock and can resist tensile stress transmitted to the surrounding rock by internal air pressure and enhance air tightness; the permeable layer is arranged on the inner side of the surrounding rock reinforcing layer and can discharge underground water to prevent hydrostatic pressure from causing extrusion deformation damage to the concrete bearing layer during construction and causing instability of the sealing steel lining; the reinforced concrete bearing layer is arranged on the inner side of the permeable layer and the outer side of the slip layer, and micro self-healing capsules capable of repairing cracks and enhancing sealing performance are evenly added in the injection molding process; the anti-drag sliding layer is arranged between the steel lining and the bearing layer and inhibits shear damage of the sealing steel lining to the bearing layer under high internal pressure; the steel lining sealing layer is arranged on the inner side of the sliding layer to bear part of gas load and seal gas.

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 discloses a rapid detection method for a tunnel to pass through a large karst cave, and relates to the technical field of civil engineering, and the method comprises the following steps: S1, selecting a detection position and drilling a drill hole; s2, installing a drilling radar; s3, setting a ground radar; s4, starting radar data acquisition; s5, performing data processing and analysis to generate a tomography image; s6, karst cave identification and analysis; s7, safety measures and construction schemes are formulated; and S8, dynamically adjusting the detection parameters. According to the invention, through combined use of the drilling radar and the ground radar and combination of advanced data processing technologies and algorithms, a high-precision tomography image can be generated, the position, the shape, the size and the filling condition of the karst cave can be accurately identified, reliable geological information is provided for construction, and potential safety hazards in the construction process are effectively avoided.

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 present invention discloses a cave-type vertical lifting gravity energy storage system, including a mountain and a power supply, wherein a platform is provided on the top of the mountain, a top yard is provided on the platform, a shaft and a cave are provided inside the mountain, the bottom opening of the shaft is connected to the cave entrance, a lifting device is provided above the top opening of the shaft, a top horizontal conveyor and a gravity block are provided on the top yard, the gravity block moves horizontally along the top horizontal conveyor, the gravity block is contact-connected with the lifting device, a bottom horizontal conveyor, a control room and an energy storage device are provided in the cave, and the power supply is respectively connected with the lifting device, the top horizontal conveyor, the bottom horizontal conveyor, the control room and the energy storage device. The present invention utilizes underground caves as the lower yard of the gravity energy storage system, fully utilizes the underground space of the mountain, adopts the bottom horizontal conveyor and adopts a concealed project, does not destroy the natural environment of the mountain, does not affect the visual landscape of the mountain, and creates economic value.

The invention provides a karst tunneling method and related equipment, and the method comprises the steps: carrying out the information extraction according to the obtained line plane and longitudinal plane data of a target region, the mileage of a current tunnel face, and a geological radar interpretation map, and obtaining the three-dimensional space coordinates of all vertexes on the geometric boundary of a karst region, so as to obtain a longest axis of the center of gravity; rotating the geometric boundary by taking the axis with the longest center of gravity as a rotating axis to form a three-dimensional boundary of the karst area; a three-dimensional karst cave model under the geodetic coordinate system is generated through the three-dimensional space coordinates of the vertexes on the geometric boundary and the three-dimensional boundary of the karst area, karst area treatment measures are subjected to animation production and then imported into a U3d file to be bound with the three-dimensional karst cave model, and a U3d project file is obtained; performing animation display on the U3d project file on the tunnel face of the target area through mixed reality, and performing karst tunneling according to the animation display condition; and the construction safety problem caused by karst collapse and underground water inrush in the tunnel construction tunneling process can be effectively prevented.

The invention belongs to the field of slope excavation construction, and relates to a hole slope excavation land acquisition red line control construction method. According to the technical principle, active protection is carried out by anchoring and hardening the slope surface, arranging a slope toe at an opening line and additionally arranging an anchor bar pile and a retaining wall, effective control over a land acquisition red line can be achieved, smooth proceeding of engineering construction is guaranteed, land disputes and ecological damage are avoided, and reasonable utilization of land resources is guaranteed; according to the technology, the active protection foundation of the retaining wall is fully utilized, the land acquisition red line is ensured, strict control over the land acquisition red line is beneficial for maintaining legal use of land resources, and illegal land occupation is avoided. Meanwhile, the method has important significance in protecting the surrounding ecological environment and reducing the influence on the life of surrounding residents, and is widely popularized and applied in slope excavation.

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 collapse simulation experiment device of a multi-factor action mechanism, and belongs to the field of karst collapse simulation experiments.The karst collapse simulation experiment device comprises a test box, a karst foundation, a karst cave, an underground water circulation unit, a pressure measuring unit, two position adjusting assemblies and two water spraying assemblies, and the karst foundation with the karst cave is filled in a simulation construction site in the test box; the underground water circulation unit pumps and drains water at the same time to simulate underground water circulation of a karst cave, then only pumps water but not drains water to simulate underground water pumping on a construction site, the two water spraying assemblies spray water into the test box to simulate natural rainfall, and the two position adjusting assemblies move in the test box to form pressure test spaces at all positions in the test box correspondingly. Then the two water spraying assemblies spray water to the pressure testing space until the sprayed water presses the karst foundation in the pressure testing space to collapse, and the pressure measuring unit measures the pressure value during collapse, so that the ultimate bearing capacity simulation experiment is carried out on the karst foundation in the pressure testing space.

The invention provides a deep circular cavern excavation response prediction method considering a hot water force full coupling effect. The deep circular cavern excavation response prediction method comprises the steps that the state of an elastic-plastic solution interface is assumed; radial and tangential effective stresses at an elastic-plastic interface are obtained; performing layer-by-layer difference on the stress state at the elastic-plastic interface in the tunnel direction to obtain the stress of the ith layer of circular ring calculation unit, and obtaining the strain of the layer of circular ring calculation unit; updating to obtain calculation parameters such as damage variables of the (i + 1) th layer of circular ring calculation unit; if r is not greater than R0, continuing to repeat the above calculation process to the next layer of circular ring calculation unit; and if r is greater than or equal to R0, checking an error between a difference calculation value and a set value of the effective stress, the pore water pressure and the temperature at the excavation boundary, if the error is too large, updating a state assumed value at the elastic-plastic interface according to a gradient descent algorithm, and continuously performing inversion until the error accords with expectation to obtain a final solution. According to the method, the problem that an effective calculation model is lacked in the existing deep hot water force coupling environment cavern excavation design is solved.

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 provides an underground cave depot water curtain hole investigation method, and relates to the technical field of underground cave depot investigation. The water curtain hole investigation method is a novel underground water-sealed cave depot construction investigation method. The method breaks through the cognition of the underground water-sealed cave depot about the use function of the water curtain hole in decades of years in China. The water curtain holes are formed in the position about 25 m above the oil storage cavern in parallel, the arrangement distance is smaller than ten m, the water curtain holes have the advantages of being close to the oil storage cavern, comprehensive in coverage range and capable of covering the oil storage cavern in advance, the oil storage cavern is finely surveyed in advance through the water curtain holes, the engineering geology and hydrogeology conditions of the oil storage cavern are found out, and the oil storage cavern can be found out in advance. A water curtain hole investigation result is established before construction of the oil storage cavern, grouting water plugging and supporting design of the oil storage cavern can be effectively guided, water seepage control of the underground water-sealed cavern and stability of the cavern are ensured, the project quality of project construction of the underground water-sealed cavern is integrally improved, and the later operation cost is greatly reduced.