794 results about "Slope gradient" patented technology

The invention provides a water and soil loss dynamic monitoring method and system based on a remote sensing image, and the method comprises the steps: firstly obtaining a multi-temporal remote sensing image data set of a target region, which comprises a plurality of time period remote sensing image subsets and land surface coverage information, and then carrying out the land surface feature extraction of the multi-temporal remote sensing image data set, after vegetation coverage, terrain gradient and soil exposure features are obtained, a water and soil loss prediction model based on time-space correlation is constructed, the features are input for prediction, a water and soil loss grade distribution map is generated, a target loss risk area is identified according to the water and soil loss grade distribution map, and a treatment priority sequence and a vegetation recovery strategy are generated. And finally, the information is fed back to a monitoring platform to trigger regional governance task allocation operation, so that dynamic monitoring of water and soil loss is realized, and governance tasks are effectively planned.

The invention provides a multi-modal fusion sensing robot dog inspection slope disaster risk assessment method and device and a storage medium, and relates to the field of slope disaster assessment, and the method comprises the steps: obtaining multi-modal sensing data; performing space-time alignment processing on the multi-modal sensing data and then converting the multi-modal sensing data into a voxel coordinate system; performing feature extraction on the multi-modal sensing data after time-space alignment, and mapping each extracted feature to a unified voxel unit to form a three-dimensional voxel structure containing each extracted feature; constructing a three-dimensional multi-modal data fusion model; identifying disaster types based on the three-dimensional multi-modal data fusion model, wherein the disaster types comprise the ground surface crack length, the underground cavity volume, the water seepage point number, the local collapse and bulging area, the vegetation degradation area and the slope gradient; and calculating a risk index based on the identified disaster type in combination with the association degree of the disaster type. By adopting the evaluation method provided by the invention, rapid and efficient evaluation of slope disasters can be realized, and the method has relatively good accuracy.

The invention relates to the technical field of risk analysis, in particular to a safety engineering comprehensive management system which comprises a geological parameter dynamic monitoring module, a risk threshold early warning module, a stability weight evaluation module and a risk comprehensive management and control module. According to the method, lithology data are extracted through a drilling profile to calculate the layer thickness sudden change rate and the strength attenuation rate, a lithology abnormal area is positioned through a variable coefficient method, lithology sudden change marks are analyzed through spatial clustering, a dynamic trend is captured through sliding window mean value comparison, and gradient amplitude and slope direction dispersion are calculated through a digital elevation model. Fusing the abnormal point density to generate a terrain instability index; establishing a multi-dimensional quantitative evaluation framework; carrying out fuzzy comprehensive evaluation and cross validation on the instability index and an engineering parameter trend; generating a dynamic priority sequence, carrying out stake number interval matching to construct a risk measure table, carrying out analytic hierarchy process dynamic resource allocation support drainage scheme, and carrying out real-time monitoring and prediction closed-loop iteration. And adaptively adjusting the control strategy.

The invention discloses a loess slope stability intelligent monitoring method and system, and the method comprises the steps: carrying out the regional differentiation modeling of multi-source data of a target region, and outputting slope change data; according to the period-by-period displacement time sequence data, a slope deformation trend is obtained through prediction based on an LSTM algorithm; and inputting the slope change data, the slope deformation trend and the meteorological rainfall data into a slope stability evaluation model to predict a safety coefficient, and if the safety coefficient is lower than a preset threshold value, issuing early warning information. According to the loess slope stability intelligent monitoring method and system provided by the invention, data such as gradient change and deformation trend are accurately extracted, multi-source data and meteorological rainfall data are fused by means of cross-modal attention, a random forest model is used for learning a multi-factor coupling rule, and finally multi-factor data prediction is integrated to obtain a safety coefficient for early warning. The problem of low early warning reliability caused by difficulty in accurately evaluating the slope stability by fusing multiple factors such as gradient, deformation and meteorological rainfall can be solved.

The invention provides an intelligent early warning method and system for phosphorus tailing improved soil heavy metal migration, relates to the technical field of computers, and accurately predicts the main migration direction of heavy metal pollutants by combining factors such as terrain gradient, hydrological flow direction and soil structure heterogeneity. The method comprises the following steps: acquiring soil information of a to-be-detected area and soil potential information of a detection point in the to-be-detected area; determining heavy metal concentration information of the detection point according to the soil potential information; the heavy metal concentration information is used for reflecting heavy metal concentration distribution conditions corresponding to different soil depths of the detection points; determining migration direction information of the heavy metal at the detection point; the migration direction information is used for reflecting the corresponding heavy metal migration direction distribution condition of the heavy metal of the detection point in the three-dimensional space; and predicting a pollution diffusion area based on the migration direction information, the organic decomposition rate and the underground water level fluctuation information, and performing visual display.

The invention relates to the technical field of geological disaster detection, in particular to a geological disaster hidden danger point detection method and system. Comprising the following steps: S1, synchronously acquiring vegetation canopy penetration data, multispectral soil humidity spatial distribution data and lithology distribution data by adopting an unmanned aerial vehicle carried image data acquisition device and a multi-band laser radar, and generating an orthoimage and a three-dimensional point cloud data set; s2, fusing the orthoimage and the three-dimensional point cloud data through an aerial triangulation encryption algorithm to establish a three-dimensional model, loading the multispectral soil humidity spatial distribution data into the three-dimensional model to generate a dynamic digital elevation model, and generating a contour line topological structure through a TIN triangulation network algorithm; s3, extracting a slope factor, topographic relief, vegetation coverage, fracture distance and a lithologic factor based on the three-dimensional model to construct a geological disaster hidden danger system; according to the system, the geological disaster occurrence time can be estimated, and the rescue and protection treatment period can be effectively planned based on the geological disaster occurrence time.

The invention relates to the technical field of earthquakes, in particular to an optical remote sensing image feature landslide information extraction method. A double-time-phase NDVI time sequence analysis strategy is adopted, and landslide area recognition is achieved by constructing a vegetation index difference chart before and after an earthquake. A landslide mass area before an earthquake presents a high NDVI value due to complete vegetation coverage, and a vegetation index of the area in an image after a disaster is significantly attenuated due to surface disturbance, so that an obvious change response is formed. If the normalized vegetation index does not change, a non-landslide area can be determined, and the greater the change of the normalized vegetation index is, the greater the possibility of landslide occurrence is, and a landslide preselection area is determined; then Otsu threshold segmentation is carried out by combining cloud layer features and water body features, cloud layer and water body change parts are effectively eliminated, object-oriented geometric shape rule fine recognition is carried out on a preselected area, a DEM is adopted to calculate a slope value to constrain low-lying or flat earth surface changes, and efficient and accurate landslide information extraction is achieved.

The invention belongs to the technical field of bridge safety evaluation, and particularly discloses a method and a system for evaluating local scouring of a bridge pile foundation based on a flow velocity strain rate. A calculation model of a local scouring pit form and a maximum scouring depth of a river-sea crossing bridge pile foundation is established, and a Reynolds stress tensor is converted into a flow velocity strain rate scalar; the method comprises the following steps: providing an erosion-deposition model, analyzing an erosion-deposition rate, establishing a scouring depth relationship, utilizing a sediment transportation model of grid unit storage parameters, simulating dynamic response of a water-sediment mixture, and triggering sediment sliding and updating a riverbed terrain when the dip angle of a scouring pit is at a supercritical slope by virtue of a slump model. All the models cooperate to achieve efficient simulation of local scouring of the pile foundation. According to the method, the form evolution and the maximum scouring depth of the local scouring pit of the single pile and the pile group can be efficiently and accurately calculated, and support is provided for bridge pile foundation design and anti-scouring structure optimization.

The invention discloses a grating dam safety evaluation and design method and structure based on debris flow blocking degree. Wherein the safety assessment method comprises the following steps: S100, calculating the safety of the debris flow on the basis of the solid matter concentration of a debris flow susceptible area, the particle size value corresponding to the accumulated content of 95% in a full particle size grading curve, the channel average gradient, the channel average width and the primary debris flow scale in the section range of the grating dam, the minimum particle size value of the maximum boulder in the drainage basin and the opening width of the grating dam; calculating a critical blocking judgment coefficient according to the correlation value of the height of the grating dam, the angle of the wedge-shaped structure and 60 degrees and the correlation value of the total amount of debris flow solid substances and the reservoir capacity of the wedge-shaped beam type grating dam; and S200, evaluating the safety of the grating dam based on the critical blocking discrimination coefficient. The evaluation and design method and structure incorporate the relative relation between the debris flow scale and the dam body storage capacity, meanwhile, the influence on active structure parameters such as wedge-shaped flow guide is quantified, and the blocking state prediction accuracy of the grating dam in actual operation is improved to a certain degree.

The invention belongs to the technical field of mineral exploration, and particularly discloses a copper ore prospecting method based on three-dimensional geological modeling. The method comprises the following steps: acquiring geological data of a target area; after extreme values in the geological data are recognized and removed through a box plot, the geological data are mapped to an interval of [0, 1], and the geological data are divided into terrain data, stratum data and mineral resource data; adopting Kalman filtering to enable the data to form fusion data, and generating a thematic map comprising a geological map, a mineralization anomaly map and a topographic slope map; based on the data and the thematic map, constructing a three-dimensional geologic model by a finite element method, and performing mining path planning by adopting a specific path planning algorithm formula; exploring by the mining equipment according to the planned path, acquiring geological data, comparing the geological data with the predicted data, re-planning the path and continuing exploring if the path is blocked, the resource recovery is out of tolerance and new mineralization is abnormal, otherwise continuing exploring according to the planned path. The method has the advantages of being high in exploration efficiency and data precision, low in comprehensive cost and high in adaptability.

The invention relates to the technical field of marine surveying and mapping and submarine topography modeling, and discloses a submarine topography and landform construction method based on multi-source water depth data fusion, which comprises a multi-source data acquisition module, a data preprocessing module, a feature extraction module, a fusion algorithm matching module, a three-dimensional modeling module and an uncertainty evaluation module. A historical submarine topographic map is converted into grid data, namely, submarine topography is discretized into digital representation of regular grid units, water depths of other sources are converted into the grid data, the precision of the water depths of different sources is evaluated by adopting a superposition comparison method, and an error distribution model is established to reasonably correct and fuse the water depth data of various sources. The innovation of the method lies in that topographic feature parameters including the gradient, the curvature matrix and the bionic optimization algorithm are introduced, the defect that a single algorithm is preset in a traditional method is overcome, and the precision of coral reef and fault zone complex areas is improved.

The invention discloses an RCBAM model construction method for remote sensing inversion of river flow. The method comprises the following steps: 1) collecting remote sensing image data; (2) high-precision DEM production; 3) obtaining a central line of a river channel; 4) river width and gradient acquisition; 5) river section shape extraction; 6) calculating an open-current area; and 7) estimating the river flow. According to the method, the section shape of the river channel is obtained based on a high-precision digital elevation model (DEM), and the section area of the river channel is dynamically calculated by combining instantaneous water surface information obtained by a remote sensing image, so that the problem that defects exist due to the fact that the overflowing area is obtained by depending on an empirical formula in a traditional BAM flow model is effectively solved, and river flow estimation considering the shape characteristics of the river channel is realized. And efficient and accurate river flow remote sensing inversion can be realized.

The invention relates to the technical field of water conservancy projects, in particular to a water conservancy earthwork dynamic monitoring method and system based on multi-source point cloud data fusion, and the method comprises the steps: carrying out the identification and standardization processing of airborne LiDAR, ground scanning and oblique photography point clouds, and generating a standard point cloud data set with uniform spatial positions and balanced density; dividing an abrupt slope area, a gentle slope area and a flat area based on topographic gradients, and constructing a grid framework adaptive to topographic features; carrying out weighted fusion by combining the point cloud coverage rate and the normalized terrain gradient to generate high-precision grid elevation data; calculating an earthwork variation distribution matrix by comparing historical elevation models; dynamically analyzing the change trend of the excavation and filling area, and synchronously evaluating the construction progress deviation and the geological disaster risk. According to the method, the problems of insufficient multi-source point cloud fusion precision, poor terrain adaptability and dynamic evaluation splitting in the prior art can be solved, and the monitoring precision and the engineering safety early warning efficiency under the complex terrain condition are remarkably improved.

The invention relates to the technical field of environmental assessment, and provides a plateau region soil erosion attribution method, system, medium and equipment, and the method comprises the steps: calculating the soil erosion rate of each calculation unit in a research region through a soil erosion model based on multi-source geographic space data; the soil erosion rate is a product of a rainfall erosivity factor, a soil erodibility factor, a slope length gradient factor, a vegetation coverage management factor and a water and soil conservation measure factor; a rainfall erosivity factor, a soil erodibility factor, a slope length and gradient factor, a vegetation coverage management factor and / or a water and soil conservation measure factor are used as key driving factors, and the control degree of the key driving factors on the soil erosion rate change is calculated by adopting a logarithmic mean Dewei index method; wherein the control degree sets a weighting coefficient for each calculation unit in the calculation process, and the weighting coefficient is constructed based on the difference between each calculation unit and the preset reference region. And the independent contribution of each factor to the erosion change can be accurately separated.

The invention discloses a mountainous area wind field downscaling optimization method based on high-precision simulation, and relates to the technical field of meteorological numerical simulation, and the method comprises the steps: obtaining the terrain elevation data and meteorological monitoring data of a target mountainous area, recognizing slope abrupt change points, constructing a spiral sampling path, calculating a slope change value, determining the distance between sampling points, and generating target sampling data; performing orthogonal decomposition on the sampled data to obtain a frequency component, calculating a surface fluctuation coefficient, and constructing a boundary disturbance equation to obtain surface stress distribution; calculating an airflow motion state based on surface stress distribution, solving a vorticity equation to obtain vorticity characteristics of a leeward area, and calculating airflow motion correction parameters; and carrying out downscaling iterative operation on the corrected parameters and the meteorological monitoring data to generate target area wind field data with hectometer-magnitude spatial resolution. The simulation precision of the local wind field under the complex terrain condition is improved.

The invention relates to the technical field of slope simulation tests, in particular to a high and steep embankment slope soil engineering simulation test device and method.The high and steep embankment slope soil engineering simulation test device comprises a multi-degree-of-freedom vibration table, a slope assembly, an airflow assembly and a driving assembly, the slope assembly is installed on the multi-degree-of-freedom vibration table, and the airflow assembly is installed on the driving assembly; the airflow assembly is located above the side slope assembly, and the driving assembly is connected with the multi-degree-of-freedom vibration table, the side slope assembly and the airflow assembly; the shifting piece is connected with the frame unit and is used for driving the inclination of the frame unit to change; the data acquisition system is used for monitoring the motion characteristics and collapse deformation of the slope model in the simulation process in real time and collecting data information generated in the test process; the problems that a traditional slope test device cannot dynamically simulate gradient gradual change caused by earthquake collapse, and the multi-disaster coupling effect of rockfall impact and hydrological airflow disturbance is difficult to reproduce are solved.

The invention relates to the technical field of slope reinforcement, and discloses an anchoring device for preventing landslide geological disasters, the anchoring device is arranged on a slope surface, distributed in a grid shape and formed by splicing a plurality of anchoring units, each anchoring unit comprises an anchor rod support and four frames, the four frames are evenly distributed on the periphery of the anchor rod support, and the anchor rod support is arranged on the periphery of the anchor rod support. The anchor rod support is detachably connected with the frame; a center hole is formed in the anchor rod support, and an anchor rod inserted into a slope body is installed at the center hole. Every two adjacent frames are connected through a set of reinforcing mechanisms. The modular structural design is adopted, specifically, the detachable anchor rod supports and the frame are combined, the weight of a single node is small, carrying is convenient, manual carrying and rapid splicing are facilitated, a latticed splicing system formed by the scheme can adapt to terrains with different slopes, and the construction efficiency can be effectively improved.

The utility model relates to the technical field of hydraulic engineering construction machinery, and discloses a canal trench ditching device, which comprises a chassis structure, a trench digging mechanism, a trench digging mechanism, a trench digging mechanism, a trench digging mechanism, a trench digging mechanism and a trench digging mechanism, wherein the chassis structure is used for realizing operation on soft and hard alternate soil layers or undulating surfaces; the rotary tillage structure is mounted at the bottom of the chassis structure and used for crushing hard soil on the surface layer and removing weeds and broken stones to form a uniform and loose plough layer; the ditching structure is mounted at the bottom of the chassis structure, is positioned behind the rotary tillage structure and is used for realizing excavation of grooves with different depths; and the tamping structure is installed at the bottom of the chassis structure and located behind the ditching structure, comprises a soil shifting shovel for leveling soil discharged from the two sides of the ditching structure, and tamps the bottom of the groove and the side slope through vibration compaction of a plane tamping plate and a slope tamping plate. By integrating the self-adaptive terrain adjusting system and the combined type grooving mechanism, topographic relief and soil states can be monitored in real time, the ditching depth, gradient and section form can be dynamically adjusted, and one-time forming of a groove is ensured.

The invention relates to an earth surface deformation detection and classification method and system fusing CNN and SBAS-InSAR technologies, and the method comprises the steps: obtaining high-precision deformation data through a small baseline subset and an interference synthesis radar technology (SBAS-InSAR), constructing a CNN classification frame through combining PCA-enhanced optical satellite images, elevation, soil physical parameters, geological landform maps and other multi-source geographic information, and carrying out the detection and classification of the earth surface deformation through the CNN classification frame and the SBAS-InSAR technology. And identification of deformation types such as landslide, settlement and lifting is realized. The process comprises multi-source satellite data acquisition and preprocessing (including InSAR sight velocity decomposition and optical / topographic feature extraction), generation of a preliminary deformation label based on a classification algorithm of a gradient and a deformation velocity threshold, and recognition of a deformation type through a multilayer CNN model. According to the method, the deformation mode is automatically clustered and analyzed in a large-range area, the accuracy and detail performance of deformation type recognition are remarkably improved, the accuracy rate reaches 93%, the method is superior to a traditional method, a stable and extensible tool platform is provided for geological disaster monitoring, and positive risk management of landslide or land subsidence prone areas is assisted.

The invention discloses a desert sand fixation and greening monitoring system and method, and relates to the technical field of sand fixation and greening monitoring, the slope, the slope direction and the elevation are calculated by using a digital elevation model, the gradient change of the slope is calculated by using a finite difference method, and the slope direction angle is solved by using an arc tangent function; on the basis, constructing a topographic vegetation response relation model, and calculating a vegetation growth response value and a vegetation coverage calculation weight by integrating gradient, slope direction, elevation and sand dune type characteristic indexes to obtain a preliminary vegetation index; aiming at the moving dune, since the traditional NDVI index is easily influenced by low vegetation coverage, the vegetation moisture index NDWI is increased, and the monitoring capability on the dynamic change of moisture is enhanced; for a fixed dune, a recessive degradation problem of long-term water deficit is easy to occur due to relatively stable water, a greening evaluation standard is adjusted in combination with soil humidity data, and vegetation monitoring of the fixed dune is more targeted by enhancing sensitivity of an index to water change through a humidity regulation factor.

The invention relates to the technical field of construction resource scheduling, in particular to a water conservancy construction equipment scheduling method and system, and the method comprises the following steps: obtaining on-site point cloud and soil data to construct an environmental resistance field; calculating a dynamic work efficiency matrix by combining the equipment power parameters and the resistance field; generating an initial time sequence chain based on the work efficiency matrix, and calculating an overlapping volume of a three-dimensional space envelope body of the equipment; if there is overlap, the job time is adjusted according to the priority to generate a conflict-free scheduling instruction set. According to the method, the rated work efficiency parameters of different machine types in a specific operation area are corrected in real time by constructing the equipment passing resistance model fusing the terrain gradient and the soil moisture content, the problem that static scheduling cannot adapt to environmental changes is solved, and meanwhile space-time conflict detection logic based on the three-dimensional operation envelope surface is introduced; and when it is recognized that the multi-machine moving tracks are overlapped, avoiding or peak shifting instructions with priorities are automatically generated, and conflict-free collaborative operation of the equipment cluster in a complex water conservancy scene is achieved.

The invention discloses an agricultural small-watershed integrated water and soil loss prevention and control method, which comprises the following steps of: performing source reduction in a slope cropland area with the gradient of more than 6 degrees to control a slope cropland erosion source so as to treat surface erosion and runoff expansion; process blocking and control are conducted from the middle upstream area to the middle downstream area, and sediment migration is blocked and the confluence speed is adjusted through linkage of the grading ditch system and the sedimentation and storage facility; tail end purification is carried out in a drainage basin outlet area, water quality is purified through ecological engineering measures, and a drainage basin outlet is stabilized; the technical problems that in the prior art, comprehensive prevention and control means starting from the whole drainage basin are lacked, traditional measures have obvious defects in the aspects of function coupling, space coordination and ecological restoration capacity, and the dual requirements of current agricultural green development and ecological environment protection are difficult to meet are solved.

The invention provides an automatic digging method of an excavator based on image recognition, which is realized based on a material pool and the excavator, a laser radar and a binocular camera are arranged on the upper edge of the material pool, and the excavator comprises a digging arm, a double-bucket assembly and a control unit. The method comprises the following steps: determining a peak initial position by a laser radar material pile three-dimensional point cloud, and performing secondary calibration by a camera to obtain a peak final position and a slope angle; the control unit switches a first / second digging mode according to the distance between the wave crest and the excavator, the first mode controls the excavator bucket to conduct wall-attached digging and conduct bottoming detection through the pressure sensor, and the second mode adjusts the angle of the excavator bucket to conduct digging according to the slope angle; when no wave crest exists, a corresponding digging scheme exists, and the point cloud is updated after digging each time; the wave crest positioning precision and the environmental adaptability are improved, the digging efficiency is optimized, manual intervention is reduced, and the device is suitable for digging of materials such as cereals and gravels.

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

The invention relates to the technical field of data analysis, in particular to a GIS-based land surveying and mapping data analysis system. According to the method, by introducing the multi-layer soil profile data and combining the parameters such as the soil organic matter content, the porosity and the water permeability, layered evaluation is conducted on the soil quality of different depths, soil stability analysis is finer, and the judgment precision of the tillage suitability is improved. In the aspect of farmland infringement and occupation monitoring, vegetation coverage information is extracted by using remote sensing data, and a vegetation reduction area can be accurately identified in combination with an NDVI index and vegetation density change, so that natural degradation and artificial infringement and occupation can be distinguished, and the farmland protection capability is enhanced. In the terrain analysis process, the terrain farming feasibility index is calculated through gradient and elevation changes, and more scientific quantitative evaluation of farming feasibility is achieved. The hydrological analysis evaluates the soil erosion risk through the water flow impact force, dynamically monitors the stability of the land parcel, and improves the response speed of cultivated land protection and water and soil conservation.

The invention discloses an SMAP soil hydrodynamic downscaling method based on a TOPMODEL theory, and the method comprises the steps: enabling original SMAP data to be matched with DEM data in spatial attributes through standardization processing, and obtaining standardized SMAP data; on the basis of DEM data, a confluence area and a gradient are calculated, and then a terrain index is calculated according to a TOPMODEL model; constructing a time sequence through the standardized SMAP data, and executing space-time stabilization processing to obtain a basic soil moisture field; based on the terrain index and the basic soil moisture field, preliminary soil moisture data is obtained through calculation by means of a downscaling model, and target soil water grating data with high resolution are obtained by optimizing the quality of the preliminary soil moisture data; according to the downscaling method, the structure is simple and clear, batch operation is facilitated, and low-resolution SMAP soil water data can be upgraded into high-resolution soil water data with the same resolution as DEM data in complex terrain areas such as mountainous areas, hills and river valleys.

A submarine landslide-seabed-pipeline three-dimensional mechanical analysis experiment system comprises a high-speed landslide driving system, a high-pressure photoelastic observation system, a three-dimensional stress acquisition system and a central controller. The high-speed landslide driving system drives the photoelastic landslide body to achieve high-speed linear motion under the gradient condition through a crawler-type driving mechanism, and the gradient high-speed motion characteristic of a real submarine landslide is simulated. The high-pressure photoelastic observation system comprises a photoelastic seabed, a photoelastic pipeline assembly, a high-pressure sealed cabin and a top hydraulic loading mechanism, and pore pressure distribution and a three-dimensional stress field in the impact process are dynamically developed through the photoelastic effect by combining the refractive index difference of fluid in pores and a photoelastic material with pore pressure data. The three-dimensional stress acquisition system captures multi-angle photoelastic stripes in real time and solves a global three-dimensional stress tensor. The central controller cooperatively regulates and controls all the systems, and control over high-speed movement, the high-pressure environment and material variables is achieved. The system well meets the quantitative research requirements of the submarine landslide disaster-causing mechanism and the protection design.

The invention belongs to the technical field of tunnel construction, and relates to a longitudinal slope non-uniform rectangular tunnel surface support pressure calculation method, which comprises the following steps: adjusting an included angle between a wedge and a working surface in a six-block silo-wedge model based on the gradient of a tunnel to be tunneled to obtain an upslope optimization model; on the basis of a stress system of the rectangular pyramid wedge-shaped body and the triangular prism wedge-shaped body in the tunneling process, a mechanical equation of the rectangular pyramid wedge-shaped body in the tunneling process and a mechanical equation of the triangular prism wedge-shaped body in the tunneling process are constructed, and then a critical support pressure control equation representing the working face stability in the tunneling process is obtained; constructing a support pressure equation of the soil cabin partition plate by utilizing a stress balance principle of a soil cabin soil body along a tunneling slope direction; and calculating the supporting pressure of the soil cabin partition plate in real time by utilizing a supporting pressure equation of the soil cabin partition plate based on the tunneling gradient, the burial depth, the working face width, the working face height and the wedge-shaped body sliding face inclination angle in the tunneling process so as to judge whether the working face is stable in the tunneling process of the to-be-tunneled tunnel.

The invention relates to the technical field of evolution modeling, in particular to a seabed erosion and deposition evolution analysis method and system.The method comprises the steps that the multi-dimensional adjacency relation between nodes is recognized through a graph attention network, joint judgment is conducted on the gradient direction included angle, the elevation trend and the flow direction consistency index, and the influence degree is quantized; the expression capability of complex boundary direction influence factors is improved, direction judgment is not performed according to a fixed rule, and based on quantitative comparison of flow direction and gradient components, scouring dominant path nodes are screened and direction tracks of the scouring dominant path nodes are rearranged, so that sequential sequence expression has dynamic reconstruction capability; performing clustering screening on the angle abrupt change section by means of a greedy algorithm to form a node set representing an abrupt change trend, so as to enhance the extraction stability of the local extreme scouring behavior; and the connection logic expression of the physical state between the nodes, the abnormal extraction efficiency of local evolution change, the expression continuity of the erosion and deposition trend result and the overall identification stability are effectively improved.

The invention relates to the technical field of remote sensing technology application, in particular to a cold highland area runoff analysis method based on a remote sensing technology, which comprises the following steps of: constructing a time sequence data set based on remote sensing and laser radar data, and extracting gradient, soil permeability and vegetation coverage to form a landform factor set; calculating a parameter contribution ratio through a topographic index hydrological model to generate a path influence value, extracting layer features to generate a runoff path diagram, outputting water volume change data by combining a standardized rainfall index and a Muskingum model, performing conjoint analysis to remove paths which do not meet conditions, and generating an updated runoff path diagram. According to the method, a time sequence data set is constructed through remote sensing and laser radar data of the cold and cold mountainous area, a terrain index hydrological model is input to quantify contribution, a path influence value is dynamically adjusted, a runoff path line segment sequence is generated, hydrodynamic simulation is performed in combination with a rainfall index, a water volume change record is obtained, and runoff dynamic monitoring is performed. And the path judgment precision and simulation reliability of the cold-cold mountain area are improved.