156 results about "Seepage field" patented technology

The invention relates to the field of shale oil and gas, and discloses a method for identifying a shale oil and gas reservoir dessert, which comprises the following steps: acquiring a core CT image, three-dimensional seismic data and production dynamic data, and carrying out cross-scale preprocessing; constructing a fractional-order non-local seepage field model to represent nano-to-kilometer-level flow characteristics; predicting seepage field parameters through a Lie group symmetry constrained neural network; establishing a cross-scale coupling model of the quantum adsorption effect and the macroscopic seepage law; dynamically updating model parameters based on real-time monitoring data; and executing multi-target collaborative optimization to generate a sweet spot three-dimensional distribution and development scheme. According to the method, a fractal dimension dynamic constraint cross-scale data fusion technology is adopted, the effect of accurate mapping of nanopore and macroscopic fracture network parameters is achieved, and the problem of misalignment of CT scanning and seismic inversion data space registration is solved through pore communication fractal analysis.

The invention provides a multi-mode tailing pond dam break digital twinning emergency deduction and decision optimization method, which comprises the following steps of: firstly, constructing a high-precision three-dimensional scene model, performing simulation calculation on the high-precision three-dimensional tailing pond model based on a finite element model to obtain a dam body stress-strain field, and performing simulation calculation on the dam body stress-strain field based on ANSYS + reinforcement learning. And predicting a dam break probability distribution diagram by using the dam body stress-strain field and the current environment state, generating a rescue scheduling scheme based on the dam break probability distribution diagram and the resource distribution data, building a dynamic virtual deduction scene for exercise, and verifying and optimizing the rescue scheduling scheme according to exercise record data. And a final rescue scheduling scheme is obtained. According to the method, the ANSYS + reinforcement learning hybrid engine is utilized to reinforce the deduction precision, dam break path prediction, optimal resource scheduling and plan self-optimization closed loop are realized, the problems of data fusion distortion, deduction stiffness, decision lag and the like in the traditional technology are solved, and the method is particularly suitable for variable working conditions such as tailing pond seepage field sudden change and extreme weather.

The invention discloses a dam seepage stability analysis method based on flood forecasting, and relates to the technical field of hydraulic engineering safety monitoring, comprising the following steps: S1, integrating a flood forecasting system and a seepage monitoring system into a data acquisition layer, and acquiring flood forecasting data and seepage monitoring data by a sensor of the data acquisition layer; s2, performing space-time alignment on the flood forecast data and the seepage monitoring data through a space-time coupling interface of the dynamic fusion layer, and generating a dynamic driving variable of a seepage field boundary condition based on a flood routing model and a geographic information system spatial interpolation technology; through the space-time coupling interface, space-time alignment and dynamic driving variable generation of flood forecast data and seepage monitoring data are achieved, the problem that the real-time flood routing process cannot be reflected due to the fact that the boundary condition is static or lagged in traditional analysis is solved, the seepage field calculation boundary condition can be dynamically updated along with flood forecast, and the real-time flood routing process cannot be reflected. And the timeliness and accuracy of model calculation are improved.

The invention discloses a diastrophic stratum deformation analysis and calculation method for an active fault zone, and relates to the technical field of geological engineering calculation, and the method comprises the following steps: (1) constructing a three-field dynamic coupling model based on an energy density gradient, and unifying dimensions of physical parameters of a mechanical field, a seepage field and a temperature field as an energy density function; according to the diastrophic stratum deformation analysis and calculation method for the active fault zone, the problems of multi-physical field splitting and time scale solidification in a traditional method are solved by constructing an energy-mediated multi-field dynamic coupling model and a space-time decoupling algorithm. On the basis of an interaction path of energy density gradient tensor unified mechanics, seepage and temperature fields, instantaneous bidirectional feedback of three-field parameters is achieved, compared with a traditional model, the pore pressure prediction error is reduced, and the calculation efficiency is improved; and meanwhile, the joint simulation efficiency of the second-level seismic event and the ten-thousand-year tectonic motion is improved, the interface parameter continuity error is controlled, and the precision and stability of cross-scale modeling are improved.

The invention provides a rainfall and earthquake coupled slope simulation method and system. The method comprises the following steps: constructing a coupling numerical model through multi-physics field data of a slope; the dynamic coupling effect of rainfall and earthquake is simulated by initializing a seepage field and loading earthquake power; the stability of the simulation result is comprehensively evaluated through iteration of a strength reduction method, and whole-process coupling from seepage to dynamic response of the slope is achieved. SeismoSignal is used for processing seismic waves, and the problem that the value of kinematics parameters is not zero when the seismic action is finished is avoided; the allowable maximum negative pore water pressure boundary is assigned to the slope surface of the side slope, the actual steady-state seepage field of the side slope is restored, and the seepage field in the side slope under different rainfall conditions is accurately calculated; by adopting an unsaturated soil dynamic seepage model for a seepage field, Rayleigh damping is introduced and an earthquake load is applied, so that cross-time scale coupling is realized. The method is simple and convenient to operate, high in calculation efficiency and accurate in calculation result, and has practical significance and value in research of the problem in the rock-soil field.

The invention provides a rock-soil body multi-field coupling intelligent monitoring system comprising a multi-field sensing device configured to monitor parameters of a deformation field, a seepage field, a temperature field and a stress field of a rock-soil body; the edge calculation and transmission device is configured to perform preprocessing and real-time transmission on the multi-field sensing data; and the intelligent decision-making device is configured to analyze the preprocessed data based on a multi-field coupling model and generate disaster early warning information. According to the rock-soil body multi-field coupling monitoring system and method provided by the invention, synchronous monitoring of a deformation field, a seepage field, a temperature field and a stress field is realized through the multi-field sensing device; real-time data processing is performed in combination with an edge calculation and transmission device, and a dynamic early warning mechanism is established by using an intelligent decision-making device, so that the technical problems of multi-field data space-time correlation failure, insufficient multi-source data fusion precision and poor early warning mechanism adaptability are effectively solved, and the geological disaster early warning method has the remarkable advantages of improving the geological disaster early warning accuracy and timeliness.

The invention provides a deep rock mass creep-seepage coupled near-field dynamics simulation method and system, and relates to the technical field of geotechnical engineering.The method comprises the steps that a near-field dynamics numerical calculation model is established based on geological survey data; based on the Burgers creep constitutive model, a near-field dynamic creep-seepage coupling basic motion equation is formed; and carrying out rock mass creep process simulation considering the seepage effect by utilizing the near-field dynamics numerical calculation model and the creep-seepage coupling basic motion equation, and carrying out iterative solution on stress, strain, displacement, water pressure and damage of each time step in the simulation process until iteration stop conditions are met, so as to obtain the rock mass creep process. And finally, obtaining distribution characteristics of a rock mass displacement field, a damage field and a seepage field and a creep characteristic curve, and realizing near-field dynamic simulation of a rock mass creep-seepage coupling process. According to the method, the technical blank of near-field dynamics in the field is filled, and the long-term stability of the engineering rock mass and the disaster evolution process are accurately reproduced and predicted.

The invention discloses an earth and rockfill dam material seepage deformation inspection system and method, and relates to the technical field of earth and rockfill dam engineering.The method comprises the steps that a sample of an earth and rockfill dam material is prepared and arranged in a test cavity of a permeameter; maintaining a steady-state seepage field in the sample; in the maintaining process of the steady-state seepage field, acoustic response signals and thermal response signals excited in the sample due to the seepage effect are synchronously collected through a distributed sensing system arranged around the sample; analyzing the acquired acoustic response signal and thermal response signal, and identifying and positioning an acoustic abnormal area with abnormal sound energy release and a thermal abnormal area with abnormal thermal change; and after the early warning signal is generated, the spatial and temporal distribution characteristics of the acoustic abnormal region and the thermal abnormal region are used as input, a parameter distribution field representing the damage evolution of the microstructure in the sample is calculated through a coupled physical inversion algorithm, and the permeability stability of the sample is evaluated based on the parameter distribution field.

The invention relates to the technical field of construction optimization, in particular to a deep underground engineering construction optimization method and system based on an intelligent support system. According to the technical scheme, stress field, seepage field and deformation field data of surrounding rock are collected in real time; constructing a digital twinborn model, and dynamically updating model parameters; adopting a multi-objective genetic algorithm to optimize support parameters; and executing adaptive control. According to the method, the stress field, seepage field and deformation field data of the surrounding rock are collected in real time through the multi-physics field sensing network, the state change of the surrounding rock can be timely and accurately monitored, meanwhile, the model parameters are dynamically updated so that the model can more accurately reflect the actual situation of the surrounding rock, and the real-time performance of the surrounding rock is improved. And through jet control and anchor rod compensation in self-adaptive control, support parameters can be adjusted in real time according to the actual condition of the surrounding rock, the reliability of a support structure is improved, the stability of the surrounding rock is enhanced, and the safety risk in the construction process is reduced, so that the construction safety is improved.

The invention relates to the technical field of geomechanical simulation of tunnel engineering, in particular to a tunnel surrounding rock water immersion weakening fluid-solid coupling simulation method and system.The method comprises the steps that mechanical parameters and seepage parameters of typical tunnel surrounding rock materials are obtained, and then an evolution equation of water immersion equivalent strain along with time is constructed; constructing a water immersion equivalent strain-seepage parameter dynamic correlation model based on the evolution equation and the seepage parameters; a seepage-stress coupling elastic-plastic damage constitutive model is constructed on the basis of a water immersion equivalent strain dynamic evolution model, and coupling circulation of a seepage-stress-damage field under the influence of water immersion degradation is represented on the basis of the seepage-stress coupling elastic-plastic damage constitutive model. The technical blank that bidirectional strong coupling of a seepage field and a mechanical field under water immersion response cannot be realized in the prior art is filled, and a high-precision simulation technical scheme is provided for stability analysis of tunnel surrounding rock in a water-rich environment.

The invention discloses a method for analyzing the influence of a rock mass multi-scale structure on deep geothermal reservoir circular mining, and relates to the technical field of geothermal resource development and rock mechanics, and the method comprises the following steps: establishing a reservoir rock mass mechanical analysis model and a seepage heat transfer analysis model which simultaneously comprise a microscopic microcrack structure and a macroscopic crack structure; based on the reservoir seepage heat transfer analysis model, reservoir temperature field and seepage field analysis is carried out, and water pressure and temperature distribution results are transmitted to the mechanical analysis model; based on the reservoir mechanical analysis model, reservoir stress and deformation analysis under the heat-water-force coupling effect is carried out, and changes of microcosmic microcrack and macroscopic crack structures in the reservoir rock mass are obtained; the rock mass permeability evolution equation and the porosity evolution equation are adopted to calculate the reservoir rock mass permeability tensor and the porosity, and the reservoir rock mass permeability tensor and the porosity are transmitted to the seepage heat transfer analysis model; and solving the reservoir temperature field, the water pressure field and the mechanical response in the geothermal circulation exploitation process by adopting a seepage heat transfer analysis and mechanical analysis staggered iteration mode. By analyzing the reservoir temperature, the water pressure, the deformation evolution response and the reservoir permeability change in the geothermal exploitation process, geothermal exploitation design and protection can be reasonably carried out, and the application prospect is good.

The invention provides a visual rock filling fracture seepage monitoring method. The visual rock filling fracture seepage monitoring method comprises the following steps: preparing a transparent rock filling fracture model based on real fracture morphology and filling treatment; a mixture which is used for simulating the underground water environment and contains tracer particles is injected into the filling fracture of the model, seepage is conducted, in the seepage process, an image I1 and an image I2 are continuously collected, the flow velocity field of the filling fracture is monitored for the image I1 through a PIV method, and the dissolution condition of filler and the corresponding filling fracture opening change condition are monitored for the image I2 through a DIC method; and identifying an eddy current area in the filling crack by the image I2, and calculating the overflowing capability of the filling crack according to the flow of the waste liquid discharged by the model. According to the method, disturbance to a natural structure in the fracture is avoided, dynamic monitoring of fluid in the fracture can be achieved, data support is provided for research on seepage field change in the dynamic fracture, and research on the relation between fracture geometric heterogeneity and seepage field characteristics is facilitated.

The invention discloses a three-dimensional fracture network seepage and solute transport numerical simulation method based on topological pruning, which comprises the following steps of: analyzing a fracture network topological structure from global and local scales by applying a graph theory, establishing a quantitative relation between fracture connectivity and an underground flow field, and accurately describing an influence mechanism of topological characteristics on a seepage field; on the basis of network topology analysis, the key fracture sub-network is extracted through a pruning method, the key fracture sub-network is used for replacing a complete network for high-precision numerical simulation, and the calculation efficiency is remarkably improved while the calculation precision is guaranteed. The invention provides an efficient and reliable solution for the problems of seepage and solute transport in a hard rock fractured medium.

The invention discloses an airport high-fill soil rainfall seepage field analysis method and system. The method comprises the steps that first-level slope sections on the two sides of a branch ditch in a high-fill area are selected, and simplification assumption is conducted on an engineering structure of the first-level slope sections in combination with foundation investigation and design data; functional partition is carried out on the research area, and structured grid division is carried out on each functional partition through simulation software; based on an unsaturated soil water flow theory, selecting a mathematical model for describing a relationship between a soil water characteristic curve and a permeability coefficient, inputting physical and mechanical parameters of a filled soil body, setting boundary conditions of a seepage model, and completing construction of the seepage model; designing at least two typical rainfall working conditions; carrying out saturated-unsaturated seepage simulation, and recording dynamic change data of pore water pressure and a transient saturation region under different working conditions; and carrying out multi-dimensional quantitative analysis on a simulation result, and summarizing an association rule of rainfall parameters and a seepage field. And safe operation of airport engineering is ensured.

The invention relates to the technical field of rock / soil mass seepage-stress coupling, and discloses a rock-soil mass seepage-stress coupling visualization device and a test method thereof. The rock-soil body seepage-stress coupling visualization device integrates a seepage pressure system controlled by a high-precision plunger pump, a confining pressure and back pressure control system, a loading and measuring device and a visualization observation system composed of a PIV particle image measuring instrument and a three-dimensional XTDIC full-field strain measuring system, and an experiment platform with comprehensive and accurate functions is formed. The device not only can accurately control and measure the seepage pressure, but also can carry out permeability research on the rock / soil body in various stress states, and directly observes and records the seepage field and the structural evolution process in the rock / soil body through an intuitive visual means. The device not only improves the experiment efficiency, but also greatly enhances the intuition and accuracy of research, and provides powerful support for deeply understanding the microscopic and macroscopic behaviors of the rock / soil body under the seepage-stress coupling action.

The invention discloses a digital twin-driven foundation settlement multi-physics field coupling simulation platform and a use method thereof, relates to the technical field of foundation settlement analysis, and solves the technical problem of settlement prediction deviation accumulation caused by incapability of synchronously updating seepage field and stress field coupling boundary conditions. According to the invention, the twinborn construction unit and the multi-physics coupling solving unit are installed, so that the rapid construction of the digital twinborn of the stratified geologic structure and the multi-physics coupling effect calculation of a stress field, a seepage field and a temperature field of a soil body are realized, and the problem of insufficient precision of traditional single-field simulation is solved; by installing a noise filtering unit and a data standardization unit, elimination of high-frequency interference components of sensor signals and time-space alignment of multi-source data are achieved, the problem that noise interference of geological exploration data is incompatible with heterogeneous formats is solved, and the accuracy and accuracy of foundation settlement analysis are improved. And the reliability of input data and the stability of a simulation result are improved.

The invention belongs to the technical field of water conservancy and hydropower engineering, and particularly relates to a computer vision-based dam seepage field rapid calculation method, which comprises the following steps of: acquiring geological attribute parameters and upstream and downstream water level working condition parameters, and constructing a sample space; constructing a data set by using a dam seepage numerical model considering the spatial variability of the permeability coefficient based on the sample space; and establishing an improved conditional deep convolutional generative adversarial network model based on the data set to realize rapid calculation of the dam seepage field. The problems that in an existing dam seepage behavior analysis and research method, a numerical simulation method occupies too many computing resources and consumes long time, most agent models only pay attention to local scattered measuring points for modeling, and overall seepage field modeling at a key section cannot be achieved are solved. However, most of the current image generation researches based on computer vision neglect the generation precision problem of high-frequency details of the image, and the high-frequency edge information of the image cannot be accurately generated.

The invention discloses a numerical simulation method and device for seepage heat transfer of a three-dimensional rough fractured rock mass, and relates to the technical field of rock mechanics engineering.The dynamic opening degree of the fractured rock mass is obtained by combining the initial opening degree and the equivalent opening degree of the fractured rock mass, and in the process of obtaining the dynamic opening degree of the fractured rock mass, the dynamic opening degree of the fractured rock mass is obtained. According to the method, based on the initial opening and the equivalent opening, the coupling influence of the shear expansion effect and roughness degradation on the fracture opening under the action of shear stress is quantified, and then based on the dynamic opening of the fractured rock mass, the point cloud data of the upper and lower fracture surfaces of the fractured rock mass after shearing is updated; the dynamic updating of the three-dimensional geometrical morphology of the real fracture in the shearing process is realized, and the bidirectional coupling simulation of the seepage field and the temperature field is realized based on the three-dimensional geometrical morphology data of the real fracture, so that the precision of the seepage heat transfer numerical simulation of the fractured rock mass is improved.

The invention discloses a backwater side seepage drainage and pressure reduction anti-seepage method based on a built sandy soil embankment foundation, and relates to the field of hydraulic engineering embankment seepage control. The technical problems that in existing sandy soil embankment foundation seepage drainage design, due to dynamic change of soil layer permeability, the drainage effect is poor, and slope stability is difficult to guarantee are solved. The method comprises the following steps: establishing a seepage field model through a three-stage hydraulic fracture test, and measuring a permeability coefficient, critical pressure and a failure criterion; the groove is dynamically excavated in three stages, the excavation depth and the slope gradient are corrected in real time according to actually measured data, and the shape of the groove is verified through a model; and finally, laying an inverted filter layer, a drainage body and an anti-scouring layer, wherein the permeability coefficient of the inverted filter layer and the aperture ratio of the drainage body are dynamically adjusted according to actually measured data. According to the method, accurate control over seepage drainage and pressure reduction of the sandy soil embankment foundation is achieved through dynamic coupling of testing, construction and a numerical model, and the method is mainly used for seepage treatment of the backwater side of a built embankment and slope stabilization and reinforcement.

The invention provides a pumped storage power station seepage optimization method and system based on water level fluctuation data. The method comprises the following steps: firstly, based on a satellite geographic map and water depth data, constructing an upper reservoir three-dimensional structure model; then arranging water body particles in the model, and forming seepage holes according to the permeability coefficient to form a seepage field simulation model; then, through seepage simulation at different water levels, water particle flow characteristics of the surface edge of the reservoir are extracted; further comparing the simulation characteristics with the actual water flow characteristics, evaluating the credibility of the model according to the goodness of fit, and optimizing the model if the credibility does not reach the standard; and finally, performing seepage early warning analysis by using the optimization model. Through precise three-dimensional modeling, dynamic seepage simulation and feature matching verification, the accuracy of seepage prediction is improved, and a scientific basis is provided for safe operation of a power station.

The invention discloses a seepage field adaptive analysis method and device based on a flexible polygon unit, and the method comprises the steps: dividing the polygon unit into a plurality of sub-regions, and constructing an internal water head field of each sub-region; recognizing a free water surface according to water head features extracted from the internal water head field of each sub-region; if the free water surface is recognized for the first time at present, or the error of the positions of the free water surfaces recognized by two adjacent rounds of iteration does not meet a preset condition, quadtree decomposition is carried out on the free water surface to obtain new sub-regions; returning to the step of extracting the water head features according to the internal water head field of each sub-region until the error of the positions of the free water surfaces identified by two adjacent rounds of iteration meets a preset condition, and obtaining a grid division result of the polygon unit; and performing seepage field analysis on the polygon units based on a grid division result to obtain a seepage field analysis result. According to the method, the complex seepage field is accurately simulated, and the optimal balance between high-precision discretization near the free water surface and the overall calculation efficiency is realized.

The invention provides a grouting path optimization method and system based on multi-field coupling constraint, and belongs to the technical field of geotechnical engineering grouting, and the method comprises the steps: collecting geological data, including rock stratum distribution and physical and mechanical parameters, and underground water data; establishing a three-dimensional multi-physics field coupling model based on the acquired geological data, including establishing a three-dimensional rock-soil body model, performing stress field analysis on the three-dimensional rock-soil body model, constructing a seepage field, simulating a temperature field, quantifying mutual influence among the stress field, the seepage field and the temperature field, and obtaining a coupling relationship among the physics fields; obtaining rheological property data of the slurry, and calibrating the established three-dimensional multi-physics field coupling model based on the obtained rheological property data of the slurry to obtain a calibrated three-dimensional multi-physics field coupling model; and aiming at the calibrated three-dimensional multi-physics field coupling model, optimizing the grouting path, the slurry pressure and the slurry proportioning parameter, and generating an optimal grouting path planning scheme.

The invention relates to the technical field of dam safety monitoring, and discloses an osmotic pressure monitoring data processing method and system for a reservoir dam, and the method comprises the following steps: obtaining osmotic pressure monitoring data and a reservoir water level; based on the data, reconstructing and carrying out normalization processing to obtain a normalized potential energy field; constructing a topological network based on the normalized potential energy field, and calculating a seepage field topological entropy capable of representing the overall structural characteristics of the seepage field; recognizing a hydraulic step event triggered by the rapid change of the water level of the reservoir, collecting a topological entropy response curve of the seepage field under the event, and extracting a real-time response feature vector from the curve; the invention further provides a system for executing the method. According to the method, severe data fluctuation caused by normal working conditions (such as water level sudden change) and early weak abnormity caused by internal structural diseases can be effectively distinguished, and the sensitivity and accuracy of seepage state abnormity diagnosis are remarkably improved.

The invention discloses a heat flow curing multi-field coupling modeling method based on an enhanced geothermal system, which belongs to the technical field of oil and gas field exploitation, and comprises the following steps: generating two groups of random numbers as crack center positions, and determining random crack end point coordinates according to the crack center positions, trace lengths and directions; forming an initial smooth fracture grid according to the determined random fracture endpoint coordinates; according to the initial smooth fracture grid, roughness continuity of each fracture path is controlled through a Hurst index, and a random fracture path containing roughness is generated; according to the generated random crack path containing the roughness, a hot dry rock one-injection and two-production random crack model is established; setting material parameters of the random fracture model according to logging data, and adding a stress field, a seepage field, a temperature field and a chemical field to the random fracture model; initial conditions and boundary conditions are set for a stress field, a seepage field, a temperature field and a chemical field of the random fracture model, and multi-physics field coupling setting is carried out.

The invention belongs to the technical field of environment monitoring, and discloses an underground water environment monitoring system, which comprises a monitoring well body; the packers can be remotely controlled and are arranged in the depth direction of the monitoring well body; the optical fiber array can invert the seepage velocity field of the stratum around the well by applying controlled thermal pulse and monitoring temperature response; the robot flying shuttle can move in the well, and an in-situ chemical analysis module or a geophysical imaging module can be carried on the robot flying shuttle; the artificial intelligence model runs on the remote cloud platform; the artificial intelligence model can fuse multi-source data, takes a seepage field obtained by active detection and a stratum structure obtained by imaging as physical constraints, and can autonomously dispatch a robot shuttle to execute minute-level in-situ chemical diagnosis or scan inter-well strata. According to the invention, the leap from passive observation to active intelligent exploration is realized, and the monitoring precision and timeliness are significantly improved.

The invention relates to the technical field of geological engineering, in particular to a dam anti-seepage effect detection method and system. The method comprises the following steps: obtaining dam structure data; performing anti-seepage structure performance evaluation according to the dam structure data to determine anti-seepage weak points; performing seepage anomaly analysis based on the anti-seepage weak points to obtain seepage anomaly data; performing free surface offset identification according to the seepage abnormal data to obtain free surface offset data; performing seepage channel positioning based on the free surface offset data to obtain seepage channel data; performing seepage field numerical simulation according to the seepage channel data to obtain a seepage field simulation numerical value; dam foundation stability detection is conducted according to the seepage field simulation numerical value, and dam foundation stability data are obtained; and on the basis of the dam foundation stability data, instability critical state prediction is conducted, and instability critical state data are obtained. According to the invention, based on the geological engineering technology, the accuracy of dam anti-seepage abnormity identification and the timeliness rate of safety early warning are improved.

The invention discloses a foundation pit seepage-deformation space-time coupling early warning method and system based on a large geological model, and belongs to the technical field of geotechnical engineering intelligent monitoring, and the method comprises the steps: processing a regional geological survey report through the large geological model based on a Transform architecture, and generating a high-precision three-dimensional stratum parameter field; further, an improved particle finite element method is adopted to carry out dynamic coupling solution of a seepage field and a stress field, a displacement rate vector is obtained, a hybrid network space-time prediction model fused with LSTM-Transform is constructed, a composite early warning index is calculated in combination with the real-time displacement rate vector, and through multi-source data fusion and space-time coupling analysis, an early warning result is obtained. Accurate evaluation and advanced early warning of the seepage stability and the deformation state of the deep foundation pit project are achieved, the accuracy and reliability of early warning signals are remarkably improved, and the method is suitable for foundation pit safety control under complex geological conditions.

The invention discloses a discrete element simulation method for slope unstable seepage, effectively solves the problem of nonlinear flow simulation distortion caused by excessive simplification of a traditional seepage model, and improves the calculation precision of transient processes such as rainstorm infiltration. The dynamic porosity feedback mechanism can reflect the influence of the internal structure change of the slope on the seepage field in real time, and more reliable pore water pressure prediction data is provided for landslide early warning. The establishment of a multi-scale coupling framework provides a new technical approach for unstable seepage analysis under complex geological conditions, a physical information neural network effectively avoids the overfitting risk of a pure data driven model, and an improved multi-objective optimization algorithm can quickly position an optimal parameter combination under complex constraint conditions. A dynamic updating mechanism can automatically adjust model parameters according to slope state changes, and the timeliness and accuracy of landslide early warning under the unstable seepage condition are remarkably improved.

The invention provides a slope seepage analysis method under a flood discharge atomization condition. The slope seepage analysis method comprises the following steps: S1, acquiring slope pore water pressure data and matrix suction data through a distributed sensor array; s2, the data fusion unit compares the pore water pressure data with a dynamic critical pressure threshold value, compares the matric suction data with a dynamic critical suction threshold value, and generates a seepage analysis trigger instruction when any data exceeds the limit; s3, starting a transient seepage field calculation model by the seepage calculation engine based on the fracture network topology data; s4, generating a slope stability control parameter set according to a seepage pressure distribution diagram output by the transient seepage field calculation model; and S5, the execution system regulates and controls the operation state of the drainage facility according to the slope stability control parameter set. The slope seepage pressure can be reduced, the slope stability is improved, and safe operation of a water conservancy project is guaranteed.

The invention relates to a rock core seepage heat exchange dynamic coupling simulation system based on outlet temperature feedback. The system comprises a multi-medium precise injection system, a gradient temperature control rock core clamping system, an outlet multi-dimensional information sensing system, a dynamic coupling central control system and a pressure compensation and circulation backflow system. The central control system receives feedback signals of the outlet end and adjusts injection power and an axial gradient temperature control area in real time, and deep dynamic coupling of a seepage field, a temperature field and a stress field is achieved. The problems that a traditional experiment is constant in injection temperature and lacks outlet feedback are solved, real stratum temperature scale distribution can be accurately reconstructed, the physical fidelity and data reliability of a heat exchange coupling experiment are remarkably improved, and an advanced experiment supporting platform is provided for basic mechanism research in the field of energy development.