904 results about "Steep slope" patented technology

The invention provides an intelligent ecological restoration system, method and device for a high and steep slope of a strip mine in an arid region. Comprising a data acquisition layer which realizes real-time acquisition of multi-dimensional environmental data through InSAR satellite remote sensing, a ground sensor network and unmanned aerial vehicle multispectral imaging; the transmission layer adopts LoRa and 5G hybrid networking; the platform layer is used for constructing a slope stability prediction and restoration scheme optimization platform based on a digital twinborn model and a deep learning algorithm; and the application layer is used for remotely controlling the repairing device through a mobile terminal and a Web terminal and monitoring the repairing progress in real time. The problems that a traditional restoration technology is poor in adaptability, low in vegetation survival rate, high in ecological restoration cost, insufficient in monitoring technology application, insufficient in monitoring feedback mechanism, insufficient in intelligence, long in ecological restoration period and the like are solved.

The invention discloses a high and steep slope dangerous rock falling intelligent monitoring and early warning method and system, and the method comprises the following steps: S1, collecting and preprocessing real-time monitoring data, and generating a standardized input sample set; s2, constructing a long-term prediction network model, and outputting a state prediction sequence of multiple time steps in the future; s3, optimizing structure parameters and training parameters of the prediction network model based on a bald eagle search algorithm; s4, executing multi-step state prediction by using the optimized model, and outputting a crack trend, a displacement trend and an abnormal probability value; s5, constructing an early warning risk scoring function, and fusing multiple prediction indexes to generate a risk scoring value; and S6, setting a multi-level early warning threshold value, outputting an early warning level, and issuing the early warning level in linkage with voice, a terminal and a platform. According to the invention, through constructing the intelligent monitoring and early warning method fusing the long-term prediction network model and the bald eagle search algorithm, accurate prediction and multi-stage linkage early warning of the high and steep slope dangerous rock falling risk are realized.

The invention discloses a non-coal mine high and steep slope point-surface monitoring data fusion method based on dynamic weight distribution, and relates to the technical field of non-coal mine monitoring, and the method comprises the following steps: constructing a time sequence synchronization window based on the instantaneous change rate of point position monitoring data and the overall trend of surface domain monitoring data, performing unified time baseline registration on the sampling rhythms of the point location monitoring data and the area monitoring data to form a continuous and traceable deformation starting band; and establishing a direction symbol identification matrix by utilizing displacement direction inversion information contained in the deformation starting band, and dynamically comparing the displacement direction of the point location monitoring data with the displacement direction of the area monitoring data. According to the invention, accurate alignment of point-surface monitoring data is realized through time sequence synchronization and direction identification, time mismatch is eliminated, and deformation identification precision is improved; and through gradient suppression and time-varying weight smooth regulation and control, a fusion result is kept stable and continuous, real three-dimensional deformation is generated, a false stable state is eliminated, and the reliability and timeliness of slope early warning are improved.

The invention relates to the technical field of soil erosion monitoring, in particular to a shallow mountain belt abrupt slope shrub land soil erosion monitoring method and system, and the method comprises the following steps: S1, collecting topographic point cloud data and vegetation reflectivity data; s2, spatial interpolation is carried out on the terrain point cloud data to generate three-dimensional terrain grid data, and meanwhile, boundary coordinates of a shrub coverage area are taken; s3, calculating a root system corrosion resistance strength value of each grid; s4, generating a real-time erosivity index of each grid; s5, extracting a real-time erosivity index of the grid where the corresponding node is located and a terrain parameter of the associated grid; and S6, calculating the soil erosion amount grid by grid, and generating a three-dimensional erosion space distribution diagram. According to the invention, through integration of multi-source data acquisition, real-time data processing and three-dimensional visual monitoring, accurate evaluation and dynamic early warning of the soil erosion process of the shrub forest land with the abrupt slope in the shallow mountain are realized, so that decision support is provided for water and soil conservation and ecological restoration.

The invention relates to a steep slope stability prediction method and system based on a manifold graph convolutional network, and belongs to the technical field of geological disaster monitoring and prediction. The method comprises the following steps: data acquisition and preprocessing; constructing a graph structure fused with multivariate features; constructing a manifold graph convolutional neural network model; model training; predicting the surface displacement of the steep slope; and according to the predicted earth surface displacement result, steep slope stability evaluation is carried out. The real-time state of the slope is reflected by integrating multi-source data such as geology and terrain; through multi-dimensional data fusion, key factors are captured, and prediction comprehensiveness and accuracy are improved. The method comprises the following steps: constructing a graph structure fusing multivariate features, and deeply mining spatial correlation and time dynamic change by using a manifold graph convolutional network and a Shenchang differential equation to realize deep fusion of spatio-temporal features. The model has good adaptability to slight deformation and complex geological conditions, has high robustness, and can be suitable for monitoring different types of slopes.

The invention discloses a surface mine high and steep slope deformation monitoring method integrating gradient and slope direction factors, and relates to surface mine high and steep slope deformation monitoring. The method comprises the following steps: obtaining a one-dimensional deformation result of a radar sight line direction under lifting rail geometry; calculating the gradient and the slope direction value of the monitoring area; constructing a relation model of a radar sight line direction deformation result and a two-dimensional deformation result; and acquiring a deformation value of the monitoring area along the slope direction and a deformation value of the monitoring area vertical to the slope direction axis so as to monitor the deformation of the high and steep slope of the surface mine. According to the method, by calculating the deformation value of the monitored area in the slope direction and the deformation value of the monitored area perpendicular to the slope direction axis, more accurate real slope deformation can be obtained, the deformation conditions of the slope at different positions can be visually known, the slope degree of the slope can be quantified, and the slope direction can assist in judging the influence degree of natural conditions on the slope.

The invention discloses a mine high and steep slope landslide machine learning prediction method based on an unmanned aerial vehicle technology and multi-source data fusion. The method comprises the steps that a high-resolution digital surface model is shot by an unmanned aerial vehicle; removing non-topographic features from the digital surface model data in ArcGIS software, then converting the digital surface model data into digital elevation model data, obtaining a surface refining model of the surface mine in the digital elevation model, taking the surface refining model as a constraint to trim the surface of the three-dimensional geologic model, and fusing factors of ArcGIS software and three-dimensional geologic model analysis by using Python to obtain a three-dimensional geologic model surface refining model; complete slope data are constructed; inputting the fused complete side slope data into a machine learning algorithm training model, and generating a side slope landslide susceptibility prediction model; the optimized model is used for carrying out landslide susceptibility prediction on new slope data. According to the method, various factors influencing the slope stability can be comprehensively analyzed, high efficiency can be kept during large-scale data processing, and the slope stability in mine engineering can be evaluated more accurately.

The invention provides a high and steep slope hanging net anchoring device and a construction method thereof, the high and steep slope hanging net anchoring device comprises a winch and a device main body, and the winch is connected with the device main body through a pull rope on the winch; the device body comprises a frame body, moving wheels are arranged at the four corners of the frame body, a net roll in linkage with the moving wheels is arranged between the two moving wheels located on the rear row, and an anchoring mechanism is arranged at the top of the frame body and anchors the net roll from the front of the frame body. Through cooperative work of the winch and the device body, meanwhile, the net roll is arranged between the rear row of moving wheels, laying work of the net piece can be completed through lowering of the device body, the flatness is ensured, meanwhile, net piece tensile deformation caused by traditional manual dragging can be effectively avoided, and the laying efficiency is improved by pausing lowering in the laying process. The anchoring mechanism is used for completing anchoring work of the meshes, cooperative work of automatic mesh hanging and anchoring is achieved, then construction risks are reduced, and meanwhile construction efficiency is improved.

The invention discloses a high and steep slope deformation monitoring method combining an xLSTM-Attention time sequence prediction model and a large language model. The method comprises the following steps: 1) constructing a time sequence prediction model based on xLSTM and an attention mechanism; 2) setting a plurality of side slope monitoring points on the side slope to be detected, acquiring three-dimensional deformation time sequence data of the side slope monitoring points in the T time period, and performing feature extraction to obtain statistical features; inputting the three-dimensional deformation time sequence data in the T time period into a slope deformation monitoring model to obtain a deformation prediction result in a future T'time period; 3) extracting an important hysteresis feature Top-KLags of the slope deformation monitoring model to form a standardized natural language prompt template; 4) calling a pre-training language model with engineering understanding ability, and performing field fine tuning; and 5) inputting the standardized natural language prompt template into the pre-training language model after field fine tuning to obtain a slope deformation safety risk assessment report. According to the invention, efficient deformation prediction and risk analysis can be realized.

The present invention discloses a tiered liquid collection method for the in-situ mining process of ionic rare earth ores. For ionic rare earth mines with high mountains and steep slopes or large ore volumes, the method utilizes tiered divisions and liquid collection facility layouts based on geological conditions such as the area of ​​the injection mining area, topography, and rock formation occurrence. Multiple layers of leaching diversion holes, leaching collection trenches, and rainwater drainage trenches are arranged from top to bottom to collect leaching liquid and drain natural rainfall. An anti-seepage curtain is constructed along the foot of the mountain to prevent leaching liquid from overflowing and leaking. A leaching collection well with multiple layers of leaching diversion holes is installed in the liquid accumulation area inside the anti-seepage curtain to recover the leaching liquid and control the groundwater level in the accumulation area. This method can effectively control landslides, mudslides, and debris flows that are prone to occur during the injection process in mines with high mountains and steep slopes. It can also achieve tiered mining, effective leaching liquid collection, and reduced leaching agent loss in mines with large ore volumes, contributing to the establishment of a new model of ecological and green mining for sustainable development.

The invention discloses a high and steep slope rock mass stability intelligent monitoring system and monitoring method, and relates to the technical field of intelligent monitoring, and the method comprises the steps: 1, collecting images, vibration and inclinometer data in real time, and carrying out comprehensive analysis to generate a landslide coefficient; 2, if the coefficient exceeds a threshold value, triggering a first-level alarm, otherwise, entering trend analysis; and step 3, judging the trend speed through the ratio of the low frequency to the high frequency of the vibration signal and the time slope, triggering secondary early warning when the trend speed exceeds a threshold value, or else, circularly monitoring. Vector conversion and included angle cosine are matched with a landslide direction threshold value, effective deformation is quantified by combining bending radius and stress analysis, multidirectional bending interference of an inclinometer is eliminated, displacement direction measurement precision is improved, early warning errors are reduced, a trend variable is constructed by utilizing a ratio of low-frequency amplitude to high-frequency amplitude, trend speed is analyzed by combining time sequence slope, and the method has the advantages of being high in accuracy and high in accuracy. The rock body loosening sign is comprehensively pre-judged, early warning is achieved, and the sudden landslide risk is reduced.

The invention provides a high and steep slope reinforcing system with a slope crest adjacent to a post-built municipal pipe gallery and a construction method of the high and steep slope reinforcing system. The reinforcing system comprises an original side slope lattice anchor supporting structure, a pipe gallery structure, a foam concrete backfill structure located on the side, close to the original side slope surface, of the pipe gallery structure, a row of newly-added anchor rods / cables constructed below the first row of original anchor rods / cables below the slope top, and a row of miniature steel pipe piles constructed below the outer side, close to the side slope surface, of the pipe gallery structure. A first row of anchor rods (cables) of an original removed side slope support are replaced by newly added anchor rods or anchor cables, and the whole steel pipe piles are located in the foam concrete to form a miniature pile retaining wall structure. The overall stability of the high and steep slope with the slope crest adjacent to the pipe gallery is greatly improved, and displacement of the slope crest adjacent to the pipe gallery is effectively controlled; the settlement of the slope crest adjacent to the pipe gallery is effectively controlled in a design and standard range; meanwhile, the foam concrete structure is used for filling the pipe ditch (groove), so that filling pressure can be reduced, and compactness and strength are guaranteed.

The utility model discloses a high and steep slope greening plant growing hole drilling device, belongs to the technical field of slope greening, and aims to solve the problems that a worker usually needs to hold a drilling machine by hand to drill a slope greening position; the device comprises a support, and four wheel bodies are fixed to the bottom end of the support; through mutual installation and cooperation of the fixing plate, the cross rod, the sliding block, the concave block, the hydraulic cylinder and the drilling machine, the device can better carry out trepanning and drilling on the positions with different heights of the greening position of the high and steep slope, meanwhile, workers do not need to hold the drilling equipment by hands to carry out trepanning on the positions, and through mutual installation and cooperation of the cross plate, a round hole, a connecting rod, a cone and a spring, the working efficiency is greatly improved. Stable installation of the bottom end of the support and the surface of the high and steep slope is achieved, and it is avoided that due to unstable connection of the support and the ground, the device deviates from a hole formed in a designated position.

A super-abrupt slope BCR hard filler dam panel sliding formwork device is characterized in that a winch support is arranged on a dam crest through a ground anchor, a winch is arranged on the winch support, a steel wire rope support is arranged at the front end of the winch, one end of a steel wire rope is connected with the winch, and the other end of the steel wire rope is connected with a sliding formwork device through a movable pulley block arranged on a slope. A surface finishing device is arranged at the lower end of the slip form device, and the slip form device is a hollow cavity; water is injected into a cavity of the slip form device to serve as a balance weight, the balance weight is clamped during work and detached during slip form transfer, the balance weight is clamped as needed, safety during slip form transfer is facilitated, a variable-speed frequency modulation winch is arranged on the dam top to serve as a traction device of the slip form device, the slip form lifting speed is adjusted according to the concrete hardening time of a panel, and the work efficiency is improved.

The invention discloses a strip mine high and steep slope disaster early warning method and system based on intelligent sensing and multi-source data fusion, and belongs to the technical field of strip mine high and steep slope disaster intelligent early warning. According to video monitoring and multi-source dynamic sensing information, establishing a three-dimensional visualization platform for the high and steep slope disaster of the strip mine; obtaining a slope disaster risk early warning level by using a multi-source data fusion method according to the slope related information; performing early warning reminding according to the slope disaster risk early warning level; and generating a corresponding emergency scheme according to the slope disaster risk early warning level. According to the method, multi-technology, multi-level and multi-scale dynamic sensing of the high and steep slope disasters of the strip mine is carried out, a slope multi-source information integration technology and a three-dimensional visual scene are fused, the comprehensiveness, real-time performance and accuracy of data are guaranteed, and the reliability and timeliness of early warning of the high and steep slope disasters of the strip mine are effectively improved.

The invention discloses a hydropower engineering extra-high steep slope online dynamic prevention and control method. The method comprises the steps that S1, data dynamic coupling and abnormity elimination are carried out; s2, carrying out space-time matching on the data; s3, optimizing a displacement early warning value; s4, carrying out safety prevention and control multi-modal analysis; and S5, performing result feedback and closed-loop control. According to the online dynamic prevention and control method for the ultra-high and steep slope in the hydropower engineering, rapid and accurate fusion of multi-source heterogeneous spatio-temporal data can be realized, the false alarm rate of slope early warning is reduced, and online closed-loop analysis of automatic identification of dangerous rock body hidden danger, real-time analysis of rockfall trajectory speed and pre-consolidation range and anchoring differentiation decision of the high and steep slope is realized; and a scientific, accurate and timely decision basis is provided for safety management of the high and steep slope.

The invention discloses a photovoltaic field abrupt slope operation protection device which comprises a steel cable fixing assembly, the steel cable fixing assembly comprises two mounting assemblies which can be vertically arranged on a pile foundation or the ground, and a first steel cable and a second steel cable which are distributed up and down are transversely arranged between the two mounting assemblies; the number of the advancing assemblies is two, the advancing assemblies are slidably arranged between the first steel cable and the second steel cable, each advancing assembly comprises a frame body, a first advancing wheel is rotatably arranged on each frame body, and each first advancing wheel is in sliding contact with the top of the corresponding first steel cable; the two second advancing wheels are rotatably and transversely arranged on the two sides of the second steel cable, and the second advancing wheels are in sliding contact with the second steel cable; the two limiting assemblies are arranged at the positions, corresponding to the first advancing wheel and the second advancing wheel, of the frame body correspondingly. It can be ensured that a worker can safely, stably and conveniently work on the abrupt slope, and therefore actual use is facilitated.

The invention provides a high-position rock landslide starting identification method and device under the earthquake action, and relates to the technical field of rock mechanics, and the method comprises the steps: S1, building a high and steep slope numerical model through an exploration data set; s2, applying a strong shock load to the bottom of the high and steep slope numerical model to obtain a velocity field and a stress field of the high and steep slope numerical model; s3, carrying out earthquake fracturing mechanism analysis on the velocity field and the stress field, and constructing a high-position rock mass fracture network; s4, dynamically retrieving a closed loop in the high-position rock mass fracture network, if not, returning to the step S3, and otherwise, entering the step S5; s5, carrying out high-position rock mass sliding stability analysis on the potential instability area defined by the closed loop under the action of strong shock, and calculating to obtain a dynamic stability coefficient; and if the dynamic stability coefficient is greater than a preset value, judging that the high-position rock mass landslide is started, otherwise, returning to the step S3. The method systematically understands the starting condition of the earthquake-induced high-position rock landslide from the perspective of mathematical mechanics, so that the prediction of the high-position rock landslide is more accurate.

The invention provides a high and steep slope dangerous rock mass instability mode judgment method and system, and belongs to the field of rock mass engineering, dangerous rock mass point cloud data of a target area is obtained, neighborhood point searching is performed on point clouds at different positions of a slope according to coordinate information in the dangerous rock mass point cloud data, plane fitting and coplanarity testing are performed on neighborhood points, and a dangerous rock mass instability mode judgment result is obtained. And merging the coplanar point sets, and calculating to obtain the inclination and the inclination angle of the structural plane according to the point sets. And clustering and grouping the structural surfaces, fitting the structural surfaces and performing intersection calculation. Point-surface calculation and analysis are carried out by combining topographic features of the high and steep slope, geometric morphology of the rock mass and development conditions of structural surfaces, the dangerous rock mass is positioned, the damage mode of the dangerous rock mass is identified, the judgment accuracy is improved, the damage mode of the slope rock mass is finely divided, and disaster prevention and reduction work of rockfall disasters of the high and steep slope is facilitated.

The utility model relates to a portable transportation platform for photovoltaic modules in abrupt slope mountains. The portable transportation platform for the steep slope mountain photovoltaic module comprises a rail and a transportation mechanism, and the transportation mechanism is installed on the rail in a sliding mode. The rail comprises a main ladder, an auxiliary ladder and a connecting ladder, the main ladder and the auxiliary ladder are detachably installed at the two ends of the connecting ladder respectively, adjustable supporting legs are installed at the bottom of the connecting ladder, and positioning pulleys are installed at the ends of the auxiliary ladder. The conveying mechanism comprises a winch and a movable frame, the winch is installed on the main ladder and connected with a steel rope, the steel rope bypasses a positioning pulley on the auxiliary ladder and is connected with the movable frame, the movable frame is arranged in the rail in a sliding mode, and the assembly conveying platform is fixedly installed on the movable frame. According to the invention, the installation position of the photovoltaic module and the transportation position of the photovoltaic module can be synchronized, and the applicability of the device is improved; the risk of manual carrying on the large-gradient terrain is reduced, and meanwhile the installation efficiency is improved.

The invention discloses a design method of a slope flexible protection system in an extra-high and steep environment. The number of flexible protection nets is determined based on terrain parameters of a high and steep slope and parameters of the flexible protection nets; the arrangement position of each flexible protective net is determined according to the movement track of the rolling rocks and the falling rocks; determining the height of the flexible protective net based on the arrangement position of the flexible protective net; the length of each flexible protective net is determined according to the envelope line of the projection range of the rolling and falling rock bouncing trajectory; and based on the number of the flexible protection nets and the arrangement position, height and length of each flexible protection net, the ultra-high steep environment slope flexible protection system is designed. According to the method, the number of tracks is determined by dynamically matching the kinetic energy of rolling stones and falling stones and the energy level of the protective net, the protective net is arranged by combining the vertex of the bouncing track, the length of the protective net is determined based on the track projection range, the problems that a traditional method depends on experience, a protective blind area exists and resources are wasted are solved, and the method has the advantages of scientific quantification and accurate protection.

The utility model discloses a surface mine high and steep slope monitoring device and belongs to the technical field of slope monitoring. The surface mine high and steep slope monitoring device comprises a base, the upper surface of the base is fixedly connected with a fixing rod in a penetrating mode, and the top end of the fixing rod is electrically connected with front-end data monitoring equipment. The front-end data monitoring device comprises a surface deformation monitoring device, a deep deformation monitoring device, a blasting vibration monitoring device, an underground water level monitoring device and a settlement monitoring device. Front-end data monitoring equipment is used for monitoring the deformation condition of the whole surface of a side slope, the inclination angle acceleration multifunctional instrument is installed on the side slope boulder outburst dangerous rock mass to monitor the stability condition of the side slope boulder dangerous rock mass, and the inclination angle acceleration multifunctional instrument assists in monitoring the development condition of side slope cracks and is arranged on the penetrating edge at certain intervals through deep clinometers. Monitoring the slippage condition of the fault zone in the drill hole of the potential fault zone of the slope, aiming at the surface mine slope subjected to blasting mining, mounting and arranging along a slope top platform according to a certain interval, and monitoring the overall damage degree of blasting operation to the mine slope.

The invention relates to the field of rock mass structural surface recognition, in particular to a high and steep slope rock mass structural surface intelligent recognition method based on double clustering. According to the method, high-precision image data of a high and steep slope is obtained through an unmanned aerial vehicle approaching photogrammetry technology, and a three-dimensional digital model of the high and steep slope is constructed by utilizing a three-dimensional reconstruction and calculation technology. And calculating normal vectors of all triangular surfaces based on the triangular surface vertex information of the model, and performing clustering analysis to divide structural surface groups with similar occurrence. And further performing clustering analysis according to the surface center coordinates of the triangular surface, and dividing to obtain the structural surface. And finally, calculating the inclination angle, inclination direction and trend data of the structural surface through an accurate mathematical model. According to the method, the flexibility and the safety of high and steep slope structural plane measurement operation are enhanced, a measurement area of any scale can be completely covered, objective, accurate, rapid and low-cost structural plane intelligent identification and attitude data acquisition are realized, and the method has important significance in engineering application related to high and steep slopes.

The invention discloses a mountain area power transmission and transformation project downhill slag slip detection method based on remote sensing three-dimensional width change. The method comprises the following steps: acquiring a satellite remote sensing image and digital elevation model data of a target area, then carrying out data preprocessing, and generating a slope grid map and a processed image; extracting edge lines on the left side and the right side of a road from the processed image, generating vertical section lines along the center line of the road, calculating horizontal plane coordinates of intersection points of the vertical section lines and the edge lines, and calculating elevation values of the intersection points according to digital elevation model data, calculating a three-dimensional road width corresponding to each pair of intersection points according to the horizontal plane coordinate and the elevation value, and comparing the three-dimensional road width with a reference width to obtain a width variable quantity; and if the width variable quantity is not smaller than the width threshold value and the slope value of the corresponding position in the slope grid map is not smaller than the slope threshold value, judging a downslope slag sliding event and carrying out risk early warning. According to the method, the measurement error of a traditional plane method in the abrupt slope terrain is reduced, and the judgment accuracy is improved.

The invention discloses a method for extracting a steep slope, a steep cliff and a scarp based on an elevation angle extreme value, which comprises the following steps of: 1, acquiring a digital elevation model (DEM) of a research area, and constructing a multi-direction translation model of the DEM based on matrix convolution operation; 2, calculating a three-dimensional maximum elevation angle (3D maxEA) and a three-dimensional minimum elevation angle (3D minEA) of DEM data through a translation model; 3, determining the critical terrain gradient ST of the abrupt slope, the abrupt cliff and the scarp, comparing the relative sizes of the 3D maxEA, the-3D minEA and the ST, and extracting the raster data of the abrupt slope, the abrupt cliff and the scarp; and 4, extracting vector lines of the 3D maxEA and the-3D minEA which are equal, superposing area vectors of the abrupt slope, the abrupt cliff and the scarp, and extracting vector line data of the abrupt slope, the abrupt cliff and the scarp through a cutting method. According to the abrupt slope, abrupt cliff and scarp extraction model provided by the invention, the landform abrupt change is prevented from being smoothed, and the abrupt slope, the abrupt cliff and the scarp which are easily hidden by slope smoothing are excavated.

The invention belongs to the technical field of slope construction, and particularly relates to a down-the-hole drill and a vertical blast hole blasting high and steep slope construction method. The method comprises the following steps: S1, firstly designing and arranging holes, firstly determining a blasting area, then determining a chassis resistance line, then determining the row pitch of the holes, and calculating the drill hole spacing and the row pitch according to the drill hole diameter and the blast hole density coefficient; s7, carrying out quality acceptance; when a drilling machine is used for drilling vertical deep holes with different depths, a slope surface is subjected to blasting and layered excavation to a slope bottom line, vertical downward excavation is firstly performed to a slope toe, then the slope is brushed to the slope toe along a slope top line, a breaking hammer is used for trimming a local under-excavation part, and finally a permanent slope is formed. The slope engineering standardization work of a project is greatly improved, the over-excavation and under-excavation phenomena are reduced, and powerful support is provided for permanent slope formation.

The invention provides a slope displacement monitoring method and system for a high and steep slope in a loess area, and the method comprises the steps: carrying out the preprocessing of data through a point cloud denoising algorithm according to an initial point cloud data set, filtering noise points and irrelevant reflection points caused by a complex terrain, and generating an optimized refined point cloud data set; aiming at the refined point cloud data set, constructing a digital surface model of the side slope by utilizing a three-dimensional reconstruction algorithm, carrying out local detail correction on the model in combination with soil loosening characteristics of a loess area, and determining a preliminary morphological structure of the side slope; performing time sequence data acquisition on the preliminary morphological structure to obtain slope three-dimensional model data of multiple time periods, and analyzing the dynamic evolution trend of morphological change to obtain slope deformation feature distribution; according to the slope deformation characteristic distribution, a finite element analysis method is adopted to conduct simulation calculation on stress distribution of the high and steep slope, the stability risk of a deformation area is judged, and potential landslide risk points are determined.

The invention discloses an abrupt slope bridge pile foundation rotary excavating hole forming device and method. The abrupt slope bridge pile foundation rotary excavating hole forming device comprises a machine body, a drill bit controlled by the machine body, a positioning mechanism located on the peripheral side of the drill bit and a limiting mechanism connected with the positioning mechanism through an adjusting rod and a connecting rod. The problem of pile foundation construction in the abrupt slope environment is solved, construction safety is guaranteed, repeated excavation and disturbance of pile foundation construction to a mountain are reduced, the engineering construction efficiency is improved, and the influence of construction waste on the surrounding environment is reduced; the position of the side pile foundation relative to the supporting pile can be accurately determined through the rotary excavating hole forming device, and during rotary excavating hole forming, it is only needed to guarantee that the actual position of the supporting pile is consistent with the set position, and the expected construction effect of combining the rotary excavating technology with the supporting pile can be achieved; according to the auxiliary welding mechanism, under the condition that the relative positions of the side pile foundations and the supporting piles are accurate, the positions of the steel beams can be reasonably arranged, welding points can be accurately found, and the stability of the side pile foundations is further improved.

The invention discloses a slip volume prediction method for a single landslide, and relates to the technical field of geological disasters. The method comprises the following steps: respectively inputting a digital elevation model (DEM) with any resolution and a landslide slippage boundary range; respectively preprocessing the input data; establishing a steepest slope line in a slip boundary range; generating a normal vector plane at each grid point; calculating coordinates and an elevation value of an intersection point of the normal vector plane and the slippage boundary; predicting the depth of each grid slip plane; and carrying out landslide slippage volume prediction. When the method is applied to landslide slip surface and slip volume prediction, landslide damage and influence ranges can be determined, potential landslide danger areas can be discriminated, and scientific support can be provided for landslide disaster prevention and control and personnel disaster prevention and risk avoiding strategy planning and management.

The invention relates to a quadruped robot mountain path planning method based on deep reinforcement learning, which comprises the following steps: S1, constructing a mountain digital terrain model, dividing the mountain digital terrain model according to a gradient grading principle, and defining a safe area and a dangerous area; s2, introducing a black hole principle to optimize and improve an artificial potential field method, constructing a global slope potential field, and simplifying a high-dimensional complex environment; s3, performing weighting processing on potential energy in the potential field, inputting the potential energy into a deep reinforcement learning network, guiding the quadruped robot to avoid the abrupt slope area and move towards a target point, and improving the training speed of the algorithm; s4, introducing a gradient security domain and a gradient reward function, and re-planning a real-time path; according to the path planning method combining the artificial potential field method and the deep reinforcement learning, the robot can plan an optimal path with a proper gradient and a short distance only according to interaction data of the current and historical environments, and the problem that path planning is difficult due to the fact that the terrain gradient is too large in the complex mountain environment is solved.