644 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 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 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 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 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 a high and steep slope ecological restoration effect evaluation method and device, and the method comprises the steps: obtaining daily meteorological data, daily vegetation growth state data and daily soil moisture content data in a high and steep slope ecological restoration region, the vegetation growth state data comprises an unmanned aerial vehicle NDVI image shot by the unmanned aerial vehicle in the high and steep slope ecological restoration area; determining an initial restoration index value based on the daily vegetation growth state data and the daily soil moisture content data; determining a correction coefficient based on the daily meteorological data; and correcting the initial repair index value based on the correction coefficient to obtain a target repair index value. According to the invention, on one hand, the meteorological data is combined to evaluate the ecological restoration, and on the other hand, the unmanned aerial vehicle NDVI image shot by the unmanned aerial vehicle in the high and steep slope ecological restoration area is utilized to evaluate the ecological restoration, so that the evaluation accuracy of the high and steep slope ecological restoration effect can be improved.

The invention provides a fire-fighting virtual prevention simulation system and method for a mountain forest region, and the method comprises the steps: extracting a terrain elevation change trend according to a mountain numerical model, and calculating a spreading path of a fire behavior under different terrain conditions in combination with vegetation density distribution; a meteorological data real-time updating module is adopted to obtain current meteorological conditions and humidity data, and prediction parameters of the fire spreading speed are dynamically adjusted; if the terrain elevation change exceeds a preset threshold value, calculating an acceleration effect of the fire behavior on the steep slope, and correcting a spreading path prediction result; if the vegetation density distribution shows valley characteristics, the chimney effect of the fire behavior in valleys is analyzed, and the fire development situation prediction map is updated; according to the soil type and the geological structure, combustion characteristics of different areas are judged, and a calculation formula of the fire spreading speed is adjusted; and adopting a machine learning algorithm, fusing the terrain elevation, the vegetation density and the meteorological condition data, and generating a prediction result of the fire spreading path.

The invention provides a high and steep slope dangerous rock mass recognition and stability evaluation method and system, and the method comprises the steps: building a dangerous rock mass recognition model according to the fall point cloud data of a high and steep slope based on a point cloud density mutation detection algorithm and a genetic neural network, and carrying out the recognition of the three-dimensional boundary of the dangerous rock mass; according to the three-dimensional boundary of the dangerous rock body, any dangerous rock body contour point cloud set is formed, a dangerous rock body geometric feature parameter extraction model is established, and dangerous rock body geometric feature parameters are obtained through extraction; and establishing a dangerous rock mass stability evaluation model comprising a rock mass parameter set, an environment data set and a stability algorithm method set, coupling the dangerous rock mass geometric characteristic parameters with the rock mass parameter set and the environment data set as input conditions, inputting the input conditions into the stability algorithm method set, and evaluating the stability of the dangerous rock mass. According to the method, the data precision, the recognition efficiency, the analysis accuracy and the response real-time performance are greatly improved, and a theoretical basis is provided for early recognition and stability evaluation of the slope dangerous rock mass in the high and steep environment of water conservancy and hydropower engineering.

The invention relates to the technical field of high and steep slope dangerous rock mass exploration, in particular to a dangerous rock risk rapid quantitative evaluation method based on probability calculation. Comprising the following steps: S1, constructing a multi-level evaluation factor system of dangerous rock dangerousness, including three factor types of a basic geological environment factor, a dangerous rock falling rock collapse development factor and an induction factor; s2, performing quantitative analysis or qualitative analysis on the multi-level evaluation factor indexes according to the evaluation factor types, establishing a comprehensive evaluation system with subjective and objective fusion based on a system interaction analysis method, and calculating the weight of each evaluation factor; s3, constructing a dangerous rock danger calculation model based on a risk triangle theory, and inputting the weight of each evaluation factor into the dangerous rock danger calculation model to calculate a danger value; and S4, dividing danger levels of the dangerous rock mass according to the danger values, and outputting a visual evaluation result. According to the quantitative evaluation method provided by the invention, the danger of the high and steep slope can be quantified more accurately, and a basis is provided for engineering construction safety.

The invention discloses a method for analyzing longitudinal force and longitudinal displacement of a long and large ramp continuously welded track under train braking, which comprises the following steps of: establishing an analysis / finite element model of the long and large ramp ballast track continuously welded track, taking initial ballast bed longitudinal resistance as an input parameter, and calculating to obtain initial distribution of longitudinal force and longitudinal displacement of a continuously welded track steel rail; meanwhile, the maximum value of longitudinal displacement of the continuously welded rail is obtained; and establishing a discrete element model of the long and large ramp ballast track seamless track, taking the maximum value of the initial distribution of the longitudinal displacement of the seamless track steel rail as an input condition, carrying out cyclic loading of the long and large ramp ballast track under the loading condition through a longitudinal displacement-longitudinal resistance dual-control method, extracting the longitudinal resistance of a track bed under the non-loading condition, and calculating the maximum value of the longitudinal displacement of the long and large ramp ballast track. And importing the data into the established analysis / finite element model to obtain updated distribution of longitudinal force and longitudinal displacement of the continuously welded rail. According to the method, the evolution characteristics of the longitudinal resistance of the long and large ramp ballast track seamless track ballast bed can be reasonably reflected.

The invention relates to the technical field of slope disaster monitoring, in particular to a high and steep slope geological disaster monitoring method and system based on multi-source data fusion. The method comprises the following steps: tracking surface deformation through PS-InSAR time sequence analysis and atmospheric phase correction to obtain surface deformation characteristics; identifying the apparent diseases of the slope, and extracting spatial and temporal distribution characteristics of the apparent diseases of the slope; analyzing spatio-temporal evolution characteristics under geologic structure constraints by utilizing slope rock mass structure characteristics and the earth surface deformation characteristics; according to underground water level dynamic and potential sliding surface weakening features and the slope apparent disease spatial and temporal distribution features, extracting disaster-causing key factor features after cooperative correction; and combining the disaster-causing key factor characteristics, the true three-dimensional geological environment background characteristics and the spatio-temporal evolution characteristics to analyze the comprehensive early warning grade and the potential instability mode of the landslide. Scientific support is provided for high and steep slope geological disaster prevention and control, and engineering construction and operation safety can be guaranteed.

The present application belongs to the field of ecological restoration technology, and particularly relates to a composite grass planting system, a preparation method and application, and a damaged ecological system restoration method for lake and reservoir drawdown belt steep slope areas. The composite grass planting blanket provided by the present application mainly uses degradable biomass materials as raw materials, and does not form secondary pollution to the environment during use. Meanwhile, the present application can improve the water retention of the composite grass planting blanket through layer structure design, which is beneficial to the growth of vegetation. The composite grass planting blanket provided by the present application has good erosion resistance, and prolongs the service life of the composite grass planting blanket. When the composite grass planting blanket is used to restore the lake and reservoir drawdown belt steep slope area, the lake and reservoir drawdown belt steep slope area is divided into a frequently submerged area, a wind and wave erosion area and a lightly submerged area, and different types of plants are planted in different areas, so as to ensure the survival rate of the plants, reduce water and soil loss, and effectively realize ecological restoration.

The invention discloses an unmanned aerial vehicle intelligent identification device based on FAST site dangerous rock inspection. The unmanned aerial vehicle intelligent identification device comprises an unmanned aerial vehicle, a laser radar, a surveying and mapping camera and a D-RTK mobile station, after the unmanned aerial vehicle takes off, inertial navigation calibration is firstly carried out at the high altitude, the unmanned aerial vehicle flies upwards in a bow-shaped circulation mode from the foot of a mountain body at the station site 1H, dangerous rock point cloud data of the high and steep slope around the station site are rapidly obtained through a laser radar and a surveying and mapping camera carried by the unmanned aerial vehicle, the three-dimensional geometrical characteristics of the dangerous rock mass are extracted, and the isolated dangerous rock mass of the high and steep slope is intelligently and efficiently recognized. Through laser radar imaging equipment carried by the unmanned aerial vehicle, high-density point cloud data of the high and steep slope around the station site is rapidly obtained, three-dimensional geometric features of the dangerous rock mass are extracted, and the isolated dangerous rock mass of the high and steep slope can be accurately, intelligently and efficiently identified. The method is of great significance to stable and reliable operation and scientific achievement output of a 500-meter-caliber spherical radio telescope (FAST) which is a national important scientific and technological infrastructure.

The invention provides a method for judging sliding-bending damage of a side slope under the creep action, and relates to the technical field of side slope prevention and control engineering, and the method comprises the following steps: S1, obtaining rock mechanical parameters of thin-layer rocks; s2, establishing a slip-bending deformation mechanical model under the condition of considering the Burgers creep constitutive model, and analyzing a critical load; s3, establishing a bending axis timeliness equation of the rock beam with the initial deflection, and analyzing a long-term stable limit load enabling the compression bar to be unstable under the Burgers creep constitutive condition; and S4, enabling the critical load to be consistent with the long-term stable limit load, comparing the axial force of the rock beam with the instability critical force of the rock beam, and determining the conditions of instability failure of the side slope. The method has the advantages that the situation that the creep deformation characteristic of the lamellar rock mass is an important factor causing deformation and damage of the high and steep slope is considered, the slope slippage-bending damage criterion is more accurate and reasonable, and the method is more suitable for slope slippage-bending damage judgment of the lamellar rock high and steep slope under the creep action under the actual engineering condition.

The invention discloses a high and steep slope safety monitoring system and method, and relates to the field of high and steep slope safety monitoring, and the method comprises the steps: collecting sensing monitoring data of a target high and steep slope, an initial three-dimensional point cloud model, and the triaxial acceleration and angular velocity of a laser radar in a scanning process through deploying a multi-mode monitoring network; the point cloud configuration module generates a dynamic reference by using a laser radar and an IMU; the space-time alignment module realizes data fusion and feature extraction; the signal activation module triggers graded early warning based on stability evaluation; according to the application, data collected by different types of sensors are effectively integrated, key information reflecting the stability of the high and steep slope is extracted, the equipment layout is optimized, interference to monitoring equipment is reduced, and the accuracy and reliability of monitoring data are improved. And all-directional high-precision monitoring on the stability of the high and steep slope is realized.

The utility model discloses a plant growing device for restoring vegetation on a convex and reverse slope of a rock slope. The plant growing device comprises a flexible back plate, a drainage groove, a plant growing cylinder and a water guide pipe. The flexible back plate can be attached and fixed to the convex reverse slope face of the rock slope or other abrupt slopes, a stable plant growth space is established through cooperation with a water longitudinal transmission structure composed of the drainage groove, the drainage pipe and the water guide pipe and a planting structure of the plant growing cylinder, and the survival rate of plants can be increased easily; plant roots can penetrate through the root extension holes, a growth space is established on the slope surface, a growth community integrating the plants and the slope surface is gradually formed, and a more stable and more natural plant ecological system is gradually developed; according to the utility model, the problem of insufficient soil adhesion of the traditional net hanging spray seeding technology is effectively avoided, and the problems of overweight load and overhigh cost of the bay platform and plant growing groove technology in the prior art are solved.