42 results about "Slope failure" patented technology

The invention relates to the field of computers, and provides an optimal design method, device and equipment for a three-dimensional slope inclined anti-slide pile and a medium. The method comprises the following steps: generating a dynamic library file of a soil constitutive model, and importing the dynamic library file into universal interactive modeling software; setting material attributes for the three-dimensional model, defining boundary conditions, and dividing grids; performing static analysis on the three-dimensional model to generate a visual toolkit file; extracting material point information in the visual toolkit file, and packaging the material point information into a material point file; determining pre-prepared material point method three-dimensional data analysis software; reading the material point file and carrying out dynamic analysis; generating an unstructured grid file of the visual toolkit file in the dynamic analysis process; extracting a slope failure state variable from the unstructured grid file of the visual toolkit file; and by taking the slope failure state variable as an optimization target, adjusting the three-dimensional model to obtain an optimal anti-slide pile design scheme.

The invention provides a mine rock slope stability calculation method and device considering fault zone seepage, and the method comprises the steps: constructing a mining area overall three-dimensional stratum model which is a three-dimensional model constructed by actual mining area geological data and test data; different slope sliding modes of the slope under the seepage action of the fault zone are simulated in the overall three-dimensional stratum model of the mining area, and basic parameters of the slope are obtained; analyzing the section form of the slope based on the basic parameters of the slope, and calculating to obtain a corresponding landslide stability coefficient; and under the condition that the landslide stability coefficient is smaller than the safety reserve coefficient, corresponding treatment measures are determined according to different slope sliding modes, and treatment is carried out according to the treatment measures. The problem that in the prior art, stability evaluation is not conducted on the strip mine slope containing fault zone seepage, and consequently the damage risk of the strip mine slope containing fault zone seepage is high is solved.

The invention discloses a three-dimensional side slope sliding surface intelligent searching method. The method comprises the steps that a three-dimensional side slope geometric model of an area needing to be analyzed is constructed; performing physical grid division on the three-dimensional slope analysis area to generate a discrete model of the three-dimensional slope; performing primary elastic or elastic-plastic analysis on the slope model by using a numerical manifold method; setting a three-dimensional sliding surface background grid of any side slope and setting an initial background grid; the slope sliding surface control parameter is used as an independent variable, and the calculated tentative safety coefficient is used as a dependent variable; the local part of the sliding surface is limited to protrude towards the slope body, and a constraint equation is constructed; and in combination with constraint equation specificity, a mode search algorithm is improved, intelligent optimization is carried out based on the improved mode search algorithm to search the most unfavorable sliding surface, slope sliding surface control parameters are updated, a tentative safety coefficient is calculated, and a final key sliding surface and a corresponding safety coefficient are obtained. The method can provide theoretical and technical support for reducing geological disasters related to slope damage.

According to the cold region slope multi-field coupling effect simulation test device and method, the device is composed of a freeze-thaw environment test box, a slope model, an anchor rod axial loading system, a crack water injection assembly and a multivariate data monitoring system, and the multi-physical field coupling effect of freeze-thaw cycle, crack water permeation and long-term creep can be simulated. By dynamically adjusting the temperature gradient and graded loading parameters, data of a stress field, a temperature field and a displacement field can be collected in real time, the influence of different freeze-thaw conditions and creep drawing loads on a slope damage mechanism can be analyzed, a key test means is provided for revealing the strain rate effect, the aging deformation characteristics and the instability criterion of the slope in the cold region, and the test efficiency is improved. The method has an important guiding value for stability evaluation and disaster prevention and control of the cold region slope engineering.

The invention relates to the technical field of slope engineering, and discloses a slope deformation damage scale prediction model construction method and device, and the method comprises the steps: defining m fuzzy factors affecting slope damage, and carrying out the quantification of the fuzzy factors; defining a fuzzy set of quantized fuzzy factors to obtain m fuzzy factor sets; performing rule base construction on the m fuzzy factor sets to obtain a rule base of fuzzy inference rules; and performing model construction based on the rule base by adopting a fuzzy neural network, and constructing a prediction model. According to the method, by introducing the fuzzy set theory and the fuzzy logic tool, the fuzzy factors in slope deformation and damage are quantified, the adaptability of the prediction model to the complex slope environment is improved, and the precision and reliability of the prediction result are improved; the theoretical model and monitoring data are effectively combined, the slope state can be dynamically evaluated in real time, a scientific decision basis is provided, precautionary measures can be taken in advance, and the slope instability risk can be reduced.

The invention discloses a defective rock mass early warning method based on a multi-fractal spectrum and a damage variable, and belongs to the technical field of rock mass disaster early warning, and the method comprises the steps: extracting a slope rock mass acoustic emission signal time-varying data sequence, and calculating a dynamic self-adaptive sliding window length; according to the time-varying data sequence, a ringing counting time sequence of each sliding window is determined, multi-scale deconstruction is carried out based on Haar wavelets, and multi-resolution measurement of each subinterval in the sliding window is calculated; determining the upper and lower limits of the weight of each multi-resolution measure, and calculating the spectral width of the multi-fractal spectrum of each sliding window; calculating the rock mass damage index and the damage index acceleration of the rock mass damage index at each moment in the rock mass damage process, and establishing a relation curve between the spectral width of the multi-fractal spectrum and the damage index; and determining a jump point of the damage index acceleration and a jump point of the spectral width of the multi-fractal spectrum according to the relation curve, and when the two jump points occur at the same moment, determining that the moment is a slope damage early warning point.

The invention provides a slope safety monitoring and early warning method based on intelligent particles. The method comprises the following steps: S1, arranging the intelligent particles and building a monitoring system; s2, intelligent particle accumulated corner abnormal value identification based on Z-score; s3, performing intelligent particle cumulative corner time registration based on Kalman filtering and cubic interpolation; s4, intelligent particle cumulative corner fusion based on an adaptive fusion algorithm; s5, carrying out slope deformation stage division based on an accumulative corner time sequence and a tangent angle method; and S6, slope damage moment estimation based on the cumulative corner time sequence and a cumulative corner speed reciprocal method. According to the invention, the intelligent particle sensor is applied to slope safety monitoring and early warning, the accumulated corner is used as an index for dividing the slope deformation stage and estimating the slope damage moment, the slope stability change can be sensitively reflected, and early warning can be issued in time.

A method for determining the optimal pull-out strength of anchor bolts in reinforced slopes, belonging to the field of slope reinforcement technology, includes: establishing a mathematical model of the anchor bolt-reinforced slope; obtaining curves showing the relationship between the slope safety factor and the pull-out strength of anchor bolts under different numbers and bond lengths; obtaining curves showing the variation of slope failure probability and anchor bolt pull-out strength under different numbers and bond lengths; and obtaining the optimal design value of the pull-out strength of anchor bolts in the reinforced slope. This method introduces the failure probability into anchor bolt support engineering, reflecting the reliability of the slope anchor bolt support engineering through the failure probability; and effectively obtains the relationship between pull-out strength and the number of anchor bolts, bond strength and slope stability coefficient. In slope reinforcement engineering, the pull-out characteristics of anchor bolts are fully utilized. The optimal pull-out strength corresponds to the number of anchor bolts and the bond strength, avoiding waste of engineering materials and improving the economy of the support engineering while ensuring slope safety.

The invention discloses a rock mass parameter inversion method and system based on automatic machine learning, and the method comprises the steps: obtaining temporal and spatial change features from rock mass monitoring data, constructing a feature importance evaluation system, and obtaining a standardized feature vector; according to the coordinated parameter transmission and model synchronization result, rock mass strength and deformation parameters are obtained, a correlation analysis model is adopted to calculate a safety coefficient and a damage probability, and a harmfulness evaluation index is obtained; the method comprises the following steps: acquiring a parameter distribution rule and a change trend, constructing a parameter database system for classified filing and version control, obtaining centralized management platform data, extracting historical tracing information, triggering a dynamic adjustment inversion strategy if the change trend exceeds a preset threshold, and obtaining a real-time updated parameter statistical analysis result for integrated risk prediction. According to the method, the accuracy of rock mass parameter inversion and the real-time performance of engineering risk prediction are remarkably improved, the slope damage probability is reduced, and engineering safety and efficient management are ensured.

The application discloses a method and system for inverting a structure of a seismic-induced soft and hard interbedding anti-inclined ancient landslide stratum, and relates to the technical field of seismic-induced landslide simulation and prevention, which comprises the following steps: reconstructing a pre-destabilization topography to obtain a geological profile of a main sliding direction before destabilization; constructing a plurality of soft and hard interbedding anti-inclined slope models with different soft and hard interbedding thickness ratios by using a discrete element numerical simulation technology based on a damage theory, and then simulating a dynamic failure process to obtain a characteristic line of a simulated slope failure surface; determining an actual topographic line based on unmanned aerial vehicle surveying and mapping data, and calculating a geometric matching degree according to the actual topographic line and the characteristic line of the simulated slope failure surface; selecting a soft and hard interbedding anti-inclined slope model with the largest geometric matching degree, and marking a corresponding soft and hard interbedding thickness ratio as a parameter of a seismic-induced pre-destabilization soft and hard interbedding anti-inclined ancient landslide stratum structure. The application can calculate the parameter of the seismic-induced pre-destabilization soft and hard interbedding anti-inclined ancient landslide stratum structure which cannot be directly obtained through field investigation.

The present invention relates to a slope drainage system and method for a group of inclined water diversion holes with reduced pressure and surface interception, which includes the following steps: anchor construction, assembly scaffolding installation, inclined water diversion hole construction, prefabricated and assembled ecological drainage ditch construction, grass-planted ecological drainage ditch construction, and buried drainage ditch construction. The beneficial effects of the present invention are: using prefabricated and assembled ecological drainage ditches, trench excavation and grass-planted ecological drainage ditches, and buried drainage ditches to form a surface interception drainage + longitudinal and transverse drainage system, effectively preventing secondary damage to the treatment area by surface water and soil erosion caused by disorderly discharge of atmospheric precipitation; drilling an inclined water diversion hole group in the slope, installing a drainage pipe in the hole, and wrapping the outer wall of the drainage pipe with geotextile to prevent clogging, effectively reducing the water pressure in the slope and diverting the groundwater out, gathering it in the buried drainage ditch, and discharging it uniformly, solving the problem of long-term groundwater infiltration and slope damage in landslide treatment areas, anchor net spraying treatment areas, etc.

The present invention discloses a pore pressure response model test system for gas-containing silt sediment and an operation method, which is composed of a gas release unit, a saturation unit and a control module unit. The gas release unit includes a top plate and a bottom plate, a cylindrical protective shell is fixedly connected between the outer sides of the top plate and the bottom plate, two baffles are fixedly connected inside the protective shell, and seabed sediments are arranged between the two baffles. A fixed cylinder is fixedly connected to the central side wall of each baffle, and each fixed cylinder passes through the side walls of the top plate and the bottom plate respectively. The present invention is established through a gas release unit, a saturation unit and a control module unit, and then the influence of seawater depth on slope stability in slope damage caused by gas diffusion of gas-containing silt is studied respectively under the assumption that the gas diffusion amount of gas-containing silt is the same, so as to provide a certain basis for the study of seabed gas-containing sediments, and the practicability is high.

The invention provides a seabed slope stability evaluation method and system, and belongs to the field of landslide disaster prevention and control. The method comprises the following steps: acquiring a digital elevation model (DEM) of a to-be-evaluated area based on a to-be-evaluated seabed slope range, and dividing sample points corresponding to grids; collecting at least five unstable factors of a sample point, constructing a geomechanical model to calculate a safety coefficient, and dividing the sample point into a current stable point and an inspection point; based on the inspection points, sorting contribution values of all parameters of the unstable factors to the safety coefficient, and taking the first three sorted parameters as the inspection factors; and constructing an association stability evaluation model, calculating the failure probability of the current investigation point for each investigation point on the basis of three investigation factors of the investigation point, the nearest neighbor sample point and the next neighbor sample point, drawing a seabed slope failure risk map, and sending out an instability early warning for the investigation point reaching a failure probability threshold. According to the method, the calculation amount of seabed slope stability evaluation is reduced, and the evaluation accuracy is improved.

A slope stability automatic analysis method integrated with system research and development belongs to the field of rock mass stability analysis, and comprises research and development of a joint rose diagram automatic drawing system, research and development of a slope failure mode automatic judgment system, research and development of a wedge-shaped plane sliding failure automatic analysis system and research and development of a block toppling failure automatic analysis module. According to the invention, automatic drawing of a joint rose diagram, automatic judgment of a slope failure mode, automatic analysis of wedge-shaped plane sliding failure and automatic analysis of block toppling failure are realized. The method is intelligent in means and convenient to apply in the aspect of slope stability analysis.

The invention discloses a method and a system for inverting an earthquake-induced soft and hard interbed anti-dip ancient landslide stratum structure, and relates to the technical field of earthquake-induced landslide simulation and prevention, and the method comprises the steps: reconstructing a terrain before instability to obtain a main slip direction geological profile before instability; a discrete element numerical simulation technology based on a damage theory is adopted to construct a plurality of soft and hard interbed reverse slope models with different soft and hard interbed thickness ratios, and then a dynamic failure process is simulated to obtain a simulated slope failure surface feature line; determining an actual terrain line based on unmanned aerial vehicle surveying and mapping data, and calculating a geometric matching degree according to the actual terrain line and the simulated slope failure surface feature line; and selecting the soft and hard interbed reverse inclination slope model with the maximum geometric matching degree, and marking the corresponding soft and hard interbed thickness ratio as a parameter of the soft and hard interbed reverse inclination ancient landslide stratum structure before earthquake induced instability. According to the method, the parameters of the soft and hard interbed anti-tipping ancient landslide stratum structure before earthquake-induced instability, which cannot be directly obtained through field investigation, can be calculated.

The present invention discloses a slope stability evaluation correction method based on local average, comprising the following steps: A. setting initial soil characteristic parameters for Monte Carlo simulation, generating random samples, and judging whether the slope is invalid through each group of samples, counting the number of invalid samples, and calculating the original slope failure probability estimation value #imgabs0#B. counting the invalid samples x under the original Monte Carlo simulation j ,j=1,2,......,M;C. Calculate the original and revised joint probability density functions according to the original and revised soil characteristic parameters to obtain the weight index ω j ,j=1,2,……,M;D. Calculate the estimated value of the corrected failure probability and its coefficient of variation. This overcomes the problem that the existing widely used reliability analysis method, the Monte Carlo simulation method, needs to rebuild the model after considering the fluctuation range or other soil characteristic parameters, especially for slopes with low probability of failure, and its large amount of calculation will consume huge time, energy and computer resources.

The invention provides a slope overall process analysis method based on a mathematical optimization particle finite element method, which comprises the following steps of: establishing a control equation of quasi-static and dynamic elastic-plastic problems under a plane strain condition in a slope region, and converting the control equation into a minimum-maximum optimization problem according to a Hellinger-Reissner variation principle, therefore, a complex motion form in the slope area is converted into a simple minimum-maximum optimization problem; finite element discrete analysis is carried out on the minimum-maximum optimization problem, then a standard second-order cone programming problem is constructed, and then an optimal solution of the second-order cone programming problem can be rapidly obtained through an interior point method, namely, a state variable is obtained; and according to the state variables and in combination with a particle finite element method, calculating the motion state before and after slope instability, thereby obtaining the whole-process operation state of the slope. The analysis method provided by the invention not only can judge the safety and stability of the slope in the static state, but also can simulate and analyze the movement process after the slope is damaged.

The invention discloses a slope damage area automatic detection and restoration discrimination method based on deep learning, and the method comprises the following steps: obtaining and preprocessing multi-temporal slope monitoring data, and forming multi-source input data; inputting the multi-source input data into the variant DeepLab segmentation network to generate boundary data of the slope damage area; performing time sequence analysis based on the boundary data of the slope damage area to generate slope damage evolution data; combining the boundary data and the evolution data, extracting the area, the crack width, the displacement rate and the gradient, and forming a repair discrimination parameter set; inputting the repair discrimination parameter set into the improved multi-parameter repair discrimination network, and outputting repair level data; introducing an uncertainty modeling module into the network, and generating repair judgment confidence data; and matching a repair measure library according to the repair level data and the repair judgment confidence data, generating a repair measure recommendation result and outputting a judgment report. The system realizes integration of detection and discrimination, and is suitable for geological disaster monitoring and treatment.

The utility model discloses an anti-seepage drainage slope protection brick, which comprises a brick body, at least one diversion trench positioned on the top surface of the brick body, a first lock catch structure positioned on the upper side of the brick body, a second lock catch structure positioned on the lower side of the brick body, an upper clamping edge and a lower clamping edge, the upper clamping edges and the lower clamping edges of every two transversely adjacent brick bodies are in lap joint, the longitudinal brick bodies are located on different layers, the bottom of the lower side of the upper brick body is in lap joint with the top of the upper side of the lower brick body to form an overlapping area, one of the first lock catch structure and the second lock catch structure is a lock tooth, and the other one is a lock groove matched with the lock tooth. The second lock catch structure is of an embedded structure, the upper and lower adjacent layers of brick bodies form a brick body interlocking structure, the brick body interlocking structure is hidden in the overlapping area, the slope protection brick can drain water and prevent seepage, and the problem of slope damage caused by rain wash is solved.

The invention discloses a slope reliability efficient analysis and risk assessment method and system, and the method comprises the steps: obtaining the basic parameters of a to-be-analyzed slope, and the basic parameters comprise a slope calculation model and soil layer parameters; on the basis of the basic parameters, a representative sliding surface of the slope is searched; analyzing the representative sliding surface to obtain an analysis result; based on the analysis result, the slope system failure probability is calculated; and based on the slope system failure probability and the representative sliding surface, completing evaluation of the slope failure risk. According to the slope reliability efficient analysis and risk assessment method provided by the invention, a representative sliding surface is efficiently identified by adopting a random search method, and the problem of dimension explosion of random variables when spatial variability of soil parameters is considered is further solved through a local average method, so that a secondary reliability analysis method is applied; and efficient analysis of the reliability of the slope system is realized.

The invention provides a multi-dimensional response slope damage and catastrophe evolution process identification method suitable for a vibration table test, and the method comprises the steps: carrying out an indoor vibration table test, and extracting acceleration test data; on the basis, firstly, the acceleration peak value is extracted, the most unfavorable position of the side slope under the earthquake condition is determined, and the importance of vertical acceleration response to side slope damage is revealed by defining the response ratio of the acceleration peak value and calculating the response ratio of the peak value in the vertical direction and the horizontal direction. Secondly, performing quadratic integration on the acceleration data based on an SPECTR program to obtain displacement conditions of different positions of the slope in the horizontal and vertical directions, drawing a slope displacement response spectrum (DSR), and emphatically exposing relative slippage conditions of the upper and lower positions of the sliding surface in the horizontal and vertical directions and vertical shear dislocation conditions of the rear edge of the slope; and analyzing the development, development and penetration process of the sliding surface and the development process of the vertical crack at the rear edge of the slope.

A method and device for assessing the damage caused by acid rain to lime-improved loess soil. The method comprises the following steps: obtaining in-situ improved soil and in-situ loess, performing layered processing, and conducting testing; comparing various test data of the in-situ improved soil and in-situ loess with various test data of the initial improved soil and initial loess to determine the degree of deterioration of the in-situ improved soil; constructing a model test box based on actual slope conditions, sequentially filling the model test box with an in-situ loess slope and an in-situ improved soil slope to simulate slope failure under acidic conditions; obtaining the in-situ improved soil slope and in-situ loess slope, performing layered processing, and conducting testing; comparing various test data of the in-situ improved soil slope and in-situ loess slope with various test data of the initial improved soil and initial loess to determine the degree of deterioration of the in-situ improved soil slope. This design not only provides highly reliable and accurate assessment results, but also is easy to operate and has low cost.

The invention discloses an early warning method and system for predicting soil slope damage based on shear parameters, and the method comprises the steps: obtaining monitoring data of a target region at a target moment, and predicting the moisture content of the target region in combination with a moisture content prediction model, the monitoring data comprising consolidation condition data monitored by a pressure sensor; predicting a target shear strength parameter of the target area at the target moment based on a shear parameter prediction model in combination with the predicted water content and the consolidation condition data; and determining an early warning level corresponding to the target area according to the target shear strength parameter, and performing early warning according to an early warning mode corresponding to the early warning level.

The application provides a photovoltaic slope safety evaluation method considering spatiotemporal variability of multi-source parameters, comprising: collecting geological exploration data and multi-source monitoring data of a photovoltaic slope, determining a random distribution type of initial multi-source parameters, and selecting key monitoring data; performing data matching of multi-source parameters and monitoring data, and screening multi-source parameters and monitoring data by using a MIC algorithm; based on field geological exploration data, a three-dimensional simulation model considering spatiotemporal variability of multi-source parameters of the photovoltaic slope is constructed, and a data set is obtained; based on a 1D-CNN-MCMC deep learning model framework, the data set is trained, and a posterior probability distribution of a safety factor FS of the photovoltaic slope is dynamically updated in combination with field monitoring data; a failure probability P of the photovoltaic slope is calculated f , and safety evaluation and early warning are performed. The application comprehensively considers uncertain factors such as slope geological parameter variability, environment, and photovoltaic structure, uses field multi-source monitoring data, obtains a photovoltaic slope failure probability more in line with actual conditions, and performs safety evaluation and early warning.

The invention provides a disaster protection method and system based on a mining slope, and the method comprises the steps: determining a rock-soil layer parameter of a target mining slope, a goaf geometric parameter and a goaf overlying strata collapse characteristic parameter, and determining a geomechanical model of the target mining slope; analyzing a slope failure mode under the influence of goaf mining by using a geomechanical model to obtain a stability coefficient of a target mining slope; and determining a filling range parameter and a filling slurry design parameter of the goaf according to the stability coefficient. The slope failure modes of the slope under different mining working conditions are simulated through the geomechanical model of the target mining slope, and compared with a single-parameter evaluation mode, the obtained stability coefficient is more accurate. The filling range of the goaf and the design parameters of the filling slurry are determined according to the stability coefficient, it can be ensured that the filling range of the goaf and the performance of the filling slurry are matched with the actual stability requirement of the slope, and the problem of mining slope geological disasters can be effectively solved.

The invention belongs to the technical field of disaster identification and prediction, and provides a slope failure instability mode intelligent identification method and system, and the technical scheme is that the method comprises the steps: taking the engineering feature information subjected to parameterized coding processing in a slope failure instability database as an input parameter, taking the slope failure instability mode as an output parameter, and constructing a plurality of parameter combination schemes; each individual of the genetic algorithm is expressed as an input feature subset, performance evaluation is performed on the slope failure instability mode intelligent identification model trained under different parameter combination schemes, a fitness function of each individual is determined according to a performance evaluation result, and a feature subset corresponding to the optimal individual is found through iterative optimization; and predicting the to-be-identified scheme based on the obtained feature subset corresponding to the optimal individual to obtain a slope failure instability mode prediction result. And the efficiency and the accuracy of the slope failure instability mode identification means are improved.

The invention relates to a method and a device for assessing the disaster of acid rain to lime-improved loess. The assessment method comprises the following steps: acquiring in-situ improved soil and in-situ loess, carrying out layered treatment, and testing; comparing various data of the in-situ improved soil and the in-situ loess after testing with various data of the initial improved soil and the initial loess after testing, and judging the degradation degree of the in-situ improved soil; a model experiment box is manufactured according to the actual working condition of the side slope, the model experiment box is sequentially filled with an in-situ loess side slope and an in-situ improved soil side slope, side slope damage of the actual working condition of the side slope under acid degradation is simulated, and the in-situ improved soil side slope and the in-situ loess side slope are obtained, subjected to layering treatment and tested; and comparing various data of the in-situ improved soil side slope and the in-situ loess side slope after testing with various data of the initial improved soil and the initial loess after testing, and judging the deterioration degree of the in-situ improved soil side slope. The design has the advantages of high reliability of evaluation results, high accuracy, convenient operation and low cost.

The invention provides a photovoltaic slope safety evaluation method considering spatial-temporal variability of multi-source parameters, and the method comprises the steps: collecting geological exploration data and multi-source monitoring data of a photovoltaic slope, determining the random distribution type of initial multi-source parameters, and selecting key monitoring data; performing data matching between the multi-source parameters and the monitoring data, and screening the multi-source parameters and the monitoring data by using an MIC algorithm; the method comprises the following steps: constructing a three-dimensional simulation model considering photovoltaic slope multi-source parameter spatio-temporal variability based on field geological exploration data, and obtaining a data set; training a data set based on a 1D-CNN-MCMC deep learning model framework, and dynamically updating posterior probability distribution of a photovoltaic slope safety factor FS in combination with field monitoring data; and calculating a photovoltaic slope failure probability Pf, and carrying out safety evaluation and early warning. According to the method, uncertain factors such as slope geological parameter variability, environment and photovoltaic structure are comprehensively considered, and on-site multi-source monitoring data is utilized, so that the photovoltaic slope failure probability more conforming to the actual situation is obtained for safety evaluation and early warning.

The invention relates to a geotechnical characteristic information parameterization method for intelligent prediction of a slope instability mode. The geotechnical characteristic information parameterization method comprises the following steps: identifying and classifying to-be-processed slope original characteristic information; encoding the text type data and the numeric type data; defining a coding result as an input parameter of the slope instability mode prediction model; obtaining classification labels used for representing different instability modes, and defining the classification labels as output parameters; outputting the data set; the data set is used for constructing and training a slope instability mode prediction model. The method has the advantages that the generated standardized data set is clear in physical significance, rigorous in logic and uniform in format and can be directly called by a machine learning algorithm, a high-quality training basis is provided for an intelligent analysis model, and the training efficiency and prediction accuracy of a slope instability mode intelligent judgment model are remarkably improved.

The invention relates to the technical field of hydraulic engineering safety monitoring, in particular to a hydraulic engineering slope residual life dynamic prediction method, which comprises the steps of influence factor selection; slope displacement is predicted; determining a slope failure threshold value; establishing a binary Wiener process model; the slope residual life dynamic prediction method has the beneficial effects that displacement prediction is carried out on the slope with the creep trend, then the predicted value is substituted into the binary Wiener process residual life prediction model, slope residual life predicted values corresponding to different periods in the future can be obtained, and meanwhile, a sample library is continuously updated by utilizing a new monitoring result; a dynamic residual life prediction value is obtained, and the future state of the slope can be mastered more accurately in real time.