75 results about "Debris flow" patented technology

The invention discloses a plateau mountain road disaster identification method and system based on multi-source remote sensing image restoration and super-resolution reconstruction. The method comprises the following steps: acquiring and preprocessing a multi-source remote sensing image of a plateau mountain region, and extracting landform measurement parameters based on a digital elevation model; a super-resolution reconstruction network fusing deformable convolution and Transform is constructed, and a low-resolution image is reconstructed by using constraint training of a composite loss function containing geomorphic measurement parameters; performing feature extraction and adaptive weighted fusion on the preprocessed image and the reconstructed high-resolution image; based on the fused image, utilizing a multi-task deep learning model to identify landslide, debris flow and roadbed subsidence disasters along the highway; and carrying out morphological optimization and boundary refinement under GIS constraint on an identification result, and outputting a disaster thematic map. According to the invention, the precision and reliability of road disaster identification in a complex terrain environment are effectively improved.

The present application discloses a method for measuring impact force of debris flow and application, and a design method for barrier energy dissipation pile array. The method for measuring vertical impact force of debris flow measures the tangential velocity of debris flow at the impact point to measure the vertical impact force distribution of debris flow on the impact point. Further, the design method for pile array simplifies the free section of energy dissipation pile as a cantilever beam, which generates a bending resistance when impacted by debris flow, and the bending resistance continuously works to dissipate the impact kinetic energy of debris flow. According to the motion characteristics of debris flow, the impact time and distance parameters are further derived to solve the problems of measuring and designing the stability parameters of single energy dissipation pile, the energy dissipation parameters of barrier energy dissipation pile array, and the number parameters of barrier energy dissipation pile array. The present application also provides the application of each measuring and designing method. The present application provides a more scientific and perfect solution for the energy dissipation design of barrier energy dissipation pile array to resist the impact damage of rockfall and debris flow caused by landslide disaster.

The invention discloses a geological disaster real-time monitoring system based on the Internet of Things, and relates to the technical field of geological disaster intelligent early warning. Original data such as earth surface displacement, rainfall and earth sound signals are acquired through a multi-source sensing acquisition module; the edge intelligent processing module extracts disturbance characteristics and calculates disturbance entropy and an energy index; constructing a regional topological graph by using a graph neural network, and predicting a propagation path and a risk probability of an induction factor; fusing meteorological prediction and topographic factors to construct a multi-dimensional mapping model, and identifying a disaster development trend; judging whether a critical state is entered or not based on a causal reasoning map and triggering early warning; the sampling frequency and the communication priority of the sensor are dynamically adjusted in combination with the historical anomaly similarity, and resource optimization configuration is achieved; the system has the advantages of high recognition precision, high response speed, low energy consumption and high deployment adaptability, and is suitable for intelligent monitoring and early warning of geological disasters such as landslide and debris flow.

The invention relates to the technical field of debris flow disaster monitoring, and discloses a debris flow type discrimination model training method and device based on RFECV multiple models, computer equipment, a computer readable storage medium and a computer program product, and the method comprises the steps: S101, data acquisition and preprocessing; s102, carrying out feature processing; s103, data division is carried out; s104, carrying out sample unbalance processing; s105, preliminarily training the model; s106, optimizing a feature subset; s107, carrying out hyper-parameter range convergence; s108, performing hyper-parameter assignment; s109, training a candidate type discrimination model; s110, performing loop optimization judgment; and S111, outputting a discrimination result. According to the automatic feature optimization method based on RFECV, redundant features are effectively eliminated, and the interpretability and stability of the model are improved; a hyper-parameter adaptive adjustment mechanism is introduced, dynamic model optimization is achieved, training efficiency and generalization ability are enhanced, the problems that traditional classification depends on subjective experience, feature selection is difficult, and the model is unstable are solved, and efficient and accurate classification of debris flow types in the cold and cold mountainous area is achieved.

The invention discloses a method, a system, a storage medium and equipment for determining the occurrence time and frequency of debris flow in an unmanned area based on the size of lichen, and relates to the technical field of geological disaster monitoring and dating, and the method comprises the steps of S1, condition setting, S2, lichen data acquisition, S3, lichen growth rate fitting, and S4, time and frequency determination. The method is characterized in that the exposure time of lichens is calculated according to the average diameter of ground clothes and the actual growth rate of the lichens in combination with the initial diameter of the lichens, the occurrence time of debris flow is determined according to the exposure time of the ground clothes, and the occurrence frequency of the debris flow is obtained according to the occurrence time of the debris flow. The technical problem that the time and frequency of debris flow events in depopulated areas are difficult to determine is effectively solved.

The invention discloses a green recovery ecological restoration method for a mine goaf, and relates to the technical field of ecological restoration. Rock surface treatment is firstly carried out, the exposed rock surface of a mine is cleaned, and broken stones are prevented from falling off during construction; then, regreening planting is carried out, and seedling transplanting is carried out on the reconditioned rock surface; and then vegetation maintenance is carried out, the planted seedlings and the sown grass seeds are maintained, and the vegetation can root and germinate. According to the method, through vegetation reconstruction and ecological restoration, surface coverage is rapidly restored, water and soil loss is reduced, geological disaster risks such as landslide and debris flow are effectively restrained, and the life and property safety of the mining area and surrounding residents is prevented from being threatened; the hyperaccumulator can also be used for purifying soil heavy metal pollution, and is matched with vegetation to adsorb dust and regulate microclimate, so that the regional air quality and ecological environment are remarkably improved; meanwhile, the regreening mining area can be transformed into an ecological park, a carbon sink forest or an agricultural base, and the land value is increased.

The invention discloses a debris flow susceptibility evaluation method considering a whole starting process condition. The debris flow susceptibility evaluation method comprises the following steps: acquiring a remote sensing satellite image of a research area; the excess terrain volume, the InSAR erosion volume and the historical landslide source volume of the area are calculated firstly, and then a comprehensive source supply index is calculated in a fusion mode; calculating a river power index SPI and a daily maximum precipitation amount of the research area, and performing normalization processing on grids of the river power index and the daily maximum precipitation amount by a minimum value and maximum value synthesis method; performing weighted stacking on the two normalized factor layers to obtain a rainfall trigger index; calculating a transportation connectivity index; and carrying out three-dimensional joint probability modeling and susceptibility index calculation. According to the method, objective and accurate evaluation of the debris flow susceptibility is realized through quantitative description of the debris flow forming process and non-parametric probability modeling.

The application discloses a mountain torrent debris flow coverage range identification method based on visual geometry modeling and relates to the technical field of debris flow coverage range identification, and comprises the following steps: obtaining a mountain torrent debris flow area image to be identified and marking the image as a real-time target image; obtaining a real-time image gray value based on the real-time target image; obtaining historical target gray values under different light intensities; obtaining a first gray threshold value and a second gray threshold value based on the historical target gray values; obtaining a first threshold function based on the first gray threshold value; obtaining a second threshold function based on the second gray threshold value; obtaining a first real-time threshold value and a second real-time threshold value based on real-time light intensity, the first gray function and the second gray function; and obtaining a mountain torrent debris flow three-dimensional coverage area based on the real-time image gray value, the first real-time threshold value and the second real-time threshold value. The application is used to solve the problem that the existing technology adopts a fixed threshold value to segment a debris flow coverage area, thereby leading to inaccurate acquisition of the debris flow coverage area.

The invention discloses a debris flow gully mountain torrent early warning method. Historical data and monitoring data are acquired; performing abnormal value elimination, missing value filling, mi n-max normalization processing, data labeling and data segmentation on the historical data to obtain a training set, a verification set and a test set; performing abnormal value elimination, missing value filling, Z-score normalization processing and space-time matching on the monitoring data in sequence to obtain a time window matrix; training the LSTM neural network based on the training set to obtain a dynamic risk prediction model; inputting the time window matrix into a dynamic risk prediction model, obtaining a disaster probability and performing graded early warning; millimeter wave displacement monitoring, soil capacitance sensing and meteorological data fusion cross-domain integration are carried out; the geological parameter weights are alpha, beta and gamma, and the threshold value is dynamically adjusted through machine learning; and a special solution for geological disasters is formed.

The invention relates to the field of geological disaster recognition, in particular to a road slope landslide debris flow disaster recognition method, device and equipment and a medium. According to the invention, through the high-spatial-resolution optical remote sensing image of the highway slope in the alpine and valley region and DEM data in the same region, deep fusion of spectral features of the optical image and DEM elevation features is realized through the cross-modal cycle fusion module, and texture damage and earth surface deformation information of landslide debris flow can be captured at the same time. Meanwhile, when the optical image is seriously covered by cloud snow, the DEM data branch can be used as an independent data source for identification, and continuity and stability of identification work are guaranteed. According to the method, two kinds of remote sensing data with different modes and information complementation are organically combined, the accuracy of landslide debris flow geological disaster recognition is improved, the requirement for rapid general survey of disaster points along highways and major engineering areas in alpine and valley areas can be met, the manual workload can be reduced, and the working efficiency is improved.

The present invention discloses a method for macroscopically identifying river-blocking disaster events based on the width of the river valley and the slope change of the main river, which relates to the technical field of identifying river-blocking landslides and debris flows, including: S1, obtaining high-precision DEM elevation data; S2, calculating the cross-section fitting average values ​​of the central section, upstream section and downstream section in the direction perpendicular to the main river; S3, calculating the main river gradient of the central section, upstream section and downstream section in the direction parallel to the main river; S4, determining the possibility of the identified slope / channel having a river-blocking disaster event in history, and the possibility of a river-blocking disaster event occurring in the future, based on the results of S2 and S3. This method can not only macroscopically identify whether a river-blocking disaster event has occurred in the area to be identified in history, and whether a river-blocking disaster event will occur in the future, but also provide a verification basis for the results of numerical simulation, and provide a target area for on-site investigation and sampling measurement, thereby improving the accuracy of identifying river-blocking disaster events.

The invention discloses a Reynolds number-based turbulence burst period correction silt entrainment calculation method, system and device and a storage medium, and belongs to the technical field of mountain disasters, and the method comprises the steps: obtaining a Reynolds number linear scaling law of a turbulence period; obtaining a corrected dimensionless sediment flux model; based on the Reynolds number linear scaling law of the turbulence period and the corrected dimensionless sediment flux model, obtaining a new turbulence burst sediment carrying model, and thus obtaining a sediment carrying flux value. By analyzing coupling characteristics of turbulence periods and Reynolds numbers under different flow states, a clear linear mixed scale relation between a dimensionless form and Re is revealed, the physical effect of the outer layer convection scale and the inner layer skin friction can be reflected at the same time, and a new correction method is provided based on the mixed scale relation. And on the basis, a new turbulent flow outbreak sand carrying model suitable for a full flow state is constructed, and continuous transition from sand carrying water flow to debris flow is achieved.

The present application provides an open type landslide debris flow staggered blocking dam group based on the movement characteristics and accumulation deformation law of landslide debris flow, the blocking dam group comprises a plurality of blocking dams, each blocking dam is arranged staggeredly in a channel downstream of a landslide body, the intersection angle between each blocking dam and the channel is 30-60 degrees, the end of the blocking dam close to the edge of the channel is recorded as the head end, the end of the blocking dam close to the center of the channel is recorded as the tail end, and the head end of each blocking dam is located upstream of the tail end of each blocking dam. The open type landslide debris flow staggered blocking dam group can effectively reduce the movement speed and kinetic energy of the particles in the landslide debris flow, can reduce the accumulation of the landslide debris in the protection structure while achieving energy dissipation, can effectively reduce the bearing capacity of a single blocking dam, can enhance the safety and stability of the blocking dam group, and provides a new way for disaster prevention and mitigation of landslide debris flow.

The present invention relates to the field of debris flow prediction technology, and in particular to a debris flow prediction method based on a material triggering-propagation process, comprising: collecting debris flow events and rainfall events; obtaining geographical background conditions and rainfall triggering conditions based on the debris flow events and rainfall events; constructing an index system for predicting debris flows based on the geographical background conditions and rainfall triggering conditions; inputting the indicators in the index system into a debris flow prediction model, and outputting the spatiotemporal probability value of the occurrence of a debris flow, wherein the debris flow prediction model is constructed based on a whale optimization algorithm and a machine learning model. The present invention integrates triggering conditions and geographical background features through a hybrid machine learning model, and evaluates the spatiotemporal possibility of debris flows based on hourly watersheds from the perspective of material triggering-propagation of debris flows. The method is implemented in a typical terrain abrupt change zone, provides technical guidance for early warning and prediction, and serves the prevention and mitigation of debris flows in mountainous areas.

The invention discloses a geological disaster hidden danger identification, analysis and evaluation method and system, and relates to the technical field of geological disaster identification, and the method forms a dynamic and intelligent risk control framework through the combination of a preliminary risk evaluation mechanism and a secondary evaluation mechanism. And outputting a landslide hidden danger judgment index Rsl, a collapse hidden danger judgment index Rslp and a debris flow hidden danger judgment index Rfi according to the hidden danger judgment model, comprehensively calculating a comprehensive judgment index Rtotal, comparing the comprehensive judgment index Rtotal with a set first risk threshold R1 and a set second risk threshold R2, and performing preliminary risk assessment. And after the preliminary evaluation, if an abnormality is found, the system prompts the user to carry out regional optimization, carries out secondary calculation after optimization, generates a second comprehensive identification index Rtotal2, and compares the second comprehensive identification index Rtotal2 with the risk threshold value again. Through the iterative optimization mechanism, the precision and reliability of a risk assessment result can be ensured, and the prevention and control capability of geological disaster hidden dangers is further improved.

The application provides a bionic root type anchoring-flexible debris flow blocking combined device and method, relates to the technical field of geological disaster prevention engineering, and the combined device comprises a flexible blocking net, a shallow bionic plate root stabilizing layer, a middle bionic main root anchoring layer and a deep bionic rootlet reinforcing layer. The bionic resistance increasing design is formed through the shallow bionic plate root stabilizing layer, the middle bionic main root anchoring layer and the deep bionic rootlet reinforcing layer. When impacted by debris flow, the anchoring force is changed from traditional single-point stress to large-range rock-soil body cooperative stress through the construction of the three-dimensional space anchoring network of the bionic resistance increasing design, the device has outstanding blocking effect and self stability and reliability, has outstanding disaster prevention effect on mountainous soft foundation or loose stratum debris flow even in long-term operation, and solves the technical problem of poor anchoring system reliability in the prior art.

The application provides a method for determining whether a shale reservoir is a deep-water sandy muddy debris flow deposit. The method determines whether the target shale reservoir is a deep-water sandy muddy debris flow deposit by determining whether the target shale reservoir has characteristics 1, 2 and 3; wherein characteristic 1 is that coarse-grained material is suspended in fine-grained material; characteristic 2 is that there are partially long strip-shaped shallow-water interstitial materials arranged in a bedding manner in some areas, and there are partially long strip-shaped shallow-water interstitial materials not arranged in a bedding manner in some areas; wherein the bedding manner refers to an angle of not more than 10° with the stratum; and characteristic 3 is that there are a terrestrial subsystem, a shallow-water subsystem and a deep-water subsystem; wherein if there is coarse-grained terrestrial quartz, the terrestrial subsystem exists; if there is coarse-grained interstitial material, the shallow-water subsystem exists; and if there is muddy biological silica and an organic clay complex with a honeycomb-shaped organic pore, the deep-water subsystem exists.

The application discloses a regional geological disaster risk intelligent evaluation method and system, and relates to the technical field of intelligent evaluation.The system runs, through integration of real-time sensors and satellite remote sensing data, collects various real-time data related to debris flow, pre-processes original data, and stores the original data into a data storage system.Based on the collected data, a physical model and a machine learning model are constructed, and after calculation, the following are obtained: a debris flow disaster risk index MRI, a rainfall intensity coefficient RIC, a geological vulnerability coefficient GVC, and a hydrodynamic pressure coefficient HPC.The probability of debris flow occurrence is predicted.According to the model output result, the debris flow disaster risk index MRI is compared with a preset first safety threshold M and a second safety threshold N, the risk level of debris flow occurrence is evaluated, different regions are classified and managed, a debris flow warning is issued according to real-time monitoring data and risk evaluation results, and automatic emergency response measures are supported.

The utility model discloses a geological disaster landslide gravel blocking device which comprises a slope surface, a pouring surface is fixed at the top end of the slope surface, a fixing structure is fixed inside one side of the pouring surface, the fixing structure comprises reinforcing steel bars, anti-skid lines, a pouring layer, a fixing metal net and a gasket, and a weight box is fixed inside one side of the pouring surface. The holes are formed in the slope surface, the multiple sets of steel bars are installed, the pouring layer is filled between the slope surface and the steel bars for further fixing, the fixing metal net is laid on the outer side of the slope surface, the steel bars are fixed through the gaskets and the fixing nuts, and finally the pouring surfaces are poured to form a whole. The structure of a pouring face can be more stable through the fixed metal net, when landslide and gravel occur, the stability of the pouring face can be guaranteed through the steel bars, the situation that the whole installation position is pulled up due to soil loosening is avoided, and therefore the purpose that the geological disaster landslide gravel arresting device can be prevented from falling off integrally is achieved.

This invention belongs to the field of geological engineering and natural disaster simulation technology, and relates to an experimental device and method for simulating the disaster chain from a high-altitude, long-distance landslide in a cold region to a flood. The device includes a support mechanism, an acceleration mechanism, a loading vehicle, a motion mechanism, a freezing mechanism, a water tank, a water spraying mechanism, and a monitoring mechanism. The freezing and water spraying mechanisms simulate the low temperature and rainfall environment of a cold region; the acceleration mechanism drives the loading vehicle to simulate the initiation of a high-altitude landslide; the landslide mass scrapes and encases moist frozen soil samples in the motion mechanism, evolving into a debris flow under continuous water spraying; the debris flow rushes into the water tank and accumulates to form a simulated landslide dam, simulating the process of blocking a river; subsequently, under the action of upstream water, the dam collapses, triggering a simulated downstream flood. This invention can simulate and monitor the entire disaster chain of a high-altitude, long-distance landslide in a cold region – debris flow – river blockage – flood, providing an effective physical simulation technology for disaster risk assessment and prevention.

The invention provides a debris flow shoveling and scraping device capable of flexibly adjusting angles and path lengths and a monitoring method, and belongs to the technical field of geological disaster monitoring. The device comprises a first sliding groove connected with a material box, a second sliding groove with a shoveling and scraping section with the length flexible and adjustable and a stacking platform, a material in the shoveling and scraping section is a composite material layer, and an optical fiber is arranged on the lower middle portion of the composite material layer and used for monitoring vibration signals. The structure of the rotating shaft of the two sections of sliding grooves is improved, and the combination of the oblique angle frame and the glass extending lap joint is designed, so that the two sections of sliding grooves can independently adjust the angle and do not interfere with each other; a unified trigger signal is sent to a data acquisition instrument and a high-speed camera while a valve is controlled to be opened, a flow depth peak value observed by the high-speed camera is aligned with a first peak value of ultrasonic flow depth, and a unified time axis is obtained; and the synchronism of the motion shooting time of the debris flow, the base stress monitoring time and the vibration signal monitoring time is realized.

The application relates to the technical field of numerical simulation, and particularly discloses a numerical method for simulating the mechanical properties of ice-rock debris with different ice contents, which comprises the following steps: a ring shear apparatus model is established according to a three-dimensional particle flow program PFC; after a given ring shear apparatus speed is given, the shear stress and the angular displacement of the ice-rock debris are monitored; meanwhile, implicit heat transfer calculation is carried out on the ice particles and the rock particles of the upper and lower shear boxes; when the ice-rock debris reaches the residual shear strength, the calculation is stopped; the state diagram of the ice-rock debris after the completion of shearing with different ice contents is simulated; and finally, the relationship diagram of the ice content and the residual shear stress of the ice-rock debris is obtained. The application provides a comprehensive and detailed framework for simulating and analyzing the mechanical properties of the ice-rock debris with different ice contents, which not only helps to scientifically understand the dynamic process of the ice-rock debris flow, but also provides guidance for related engineering applications.

The invention relates to the technical field of water conservancy projects, particularly provides a calculation method, medium and system for the debris flow reduction rate of a wedge-shaped beam type grating dam, and aims to solve the technical problem that a traditional model for predicting the debris flow peak flow reduction rate is not suitable for a novel optimization structure. A wedge-shaped beam type grating dam structure is provided, five key control factors including the volume weight, the scale, the channel gradient, the relative opening width and the wedge-shaped structure angle of debris flow are systematically considered through a water tank test, and an experience and theory dual-calculation model is constructed. According to the method, nondimensionalization processing is carried out on control factors, an accurate peak flow reduction rate prediction model is established, and the problem that parameter consideration of a traditional method is insufficient is solved. Test data verification shows that the model prediction result is reliable, the accuracy of debris flow peak flow regulation and control effect evaluation is remarkably improved, and a scientific basis and a practical tool are provided for disaster risk prevention and control and prevention and control engineering design of major projects in mountainous areas.

The present application relates to the technical field of debris flow protection, and particularly relates to a high-speed long-range landslide debris flow protection structure. The high-speed long-range landslide debris flow protection structure comprises a supporting assembly and a protection assembly. The supporting assembly comprises a supporting plate and a blocking plate. The supporting plate has a first mounting surface which is adapted to the shape of a mountain surface, and a second mounting surface which is opposite to the first mounting surface. The blocking plate is connected to one end of the supporting plate, and has a blocking surface which forms an angle with the second mounting surface. The protection assembly is mounted on the second mounting surface, and is provided with planting grooves. The present application can avoid the problem of insufficient grip force caused by directly planting vegetation on the mountain slope, so that the vegetation can form a certain block to the debris flow, and can also cover the mountain slope to reduce the formation of debris.

The present application relates to the technical field of hydraulic engineering, and specifically provides a wedge-shaped beam type grid dam debris flow flow reduction rate calculation method, medium and system, aiming to solve the technical problem that the traditional model for predicting the peak flow reduction rate of debris flow is not suitable for new optimized structures. A wedge-shaped beam type grid dam structure is proposed, and through a flume test, five key control factors, including debris flow bulk density, scale, channel slope, relative opening width and wedge structure angle, are systematically considered to build an empirical and theoretical double calculation model. This method establishes a precise peak flow reduction rate prediction model by dimensionless processing of the control factors, solving the problem of insufficient parameter consideration in traditional methods. Test data verification shows that the model prediction results are reliable, significantly improving the accuracy of the evaluation of the peak flow regulation effect of debris flow, and providing a scientific basis and practical tool for disaster risk prevention and control and prevention engineering design of major projects in mountainous areas.

The application provides a kind of glacier mud-rock flow dynamic risk early warning method and system based on seismic signal, belongs to natural disaster warning technical field, first constructs the response chain of seismic signal glacier, obtains the information such as the propagation path of seismic signal, the response order of each circle of glacier and the response characteristic transmission relationship, then analyzes the risk evolution node in response chain information, accurately determines the key nodes such as response trigger, energy accumulation and diffusion start, forms the glacier mud-rock flow risk evolution node set, then links the glacier mud-rock flow risk evolution node set with the topographic features of glacier area, generates the dynamic risk evolution path that can reflect the dynamic development process of glacier mud-rock flow, generates the dynamic risk warning content containing detailed warning information based on this dynamic risk evolution path, finally reversely associates the on-site response data to the response chain construction process, realizes the optimization update of the response chain information of seismic signal glacier, effectively improves the early warning ability to glacier mud-rock flow disaster.

The invention provides a river blockage prediction method and device and a storage medium, and the method comprises the steps: obtaining debris flow data, river data and moraine object data related to a target river, thereby determining a target volume factor, a dynamic coupling factor, an included angle cooperation factor, a moraine object impact factor and a shear strength factor, and inputting the factors into a pre-trained, verified and screened river blocking prediction model, and outputting a target predicted river blocking result. According to the method, the key influence dimensions of river plugging can be comprehensively covered, the model is constructed based on sample data and is verified and optimized, the scientificity and accuracy of prediction are improved, and reliable support can be provided for geological disaster risk zoning and early warning.

The invention provides a drainage structure design method for a debris side slope and a drainage structure, and relates to the technical field of geological disaster prevention and control, the method comprises the following steps: investigating a target side slope, and obtaining and determining gradient information of the target side slope, form information of side slope furrowing, and grain composition information and mechanical property information of slope debris; based on the gradient information, the form information, the grain composition information and the mechanical property information, calling a ladder pool structure design model pre-constructed through a debris flow interception test, and determining design parameters of a ladder pool; checking the stability of the ladder pool structure under the action of the high-sand-content runoff according to the design parameters and the root reinforcement parameters of the preselected slope protection plants; when the checking calculation result meets a preset safety threshold value, the design parameters are used for implementing drainage structure engineering of the target slope. By means of the technical scheme, the sustainability, the long-term effect and the ecological friendliness of debris slope treatment engineering can be enhanced.

The invention provides a terrain deflection collision type landslide debris flow motion evaluation method and system, and relates to the technical field of geological disaster dynamics modeling. The method comprises the steps of obtaining to-be-evaluated area DEM data and landslide DEM data, and performing data preprocessing on the landslide DEM data according to the to-be-evaluated area DEM data to obtain slip mass DEM processing data; according to the DEM data of the to-be-evaluated area and the DEM processing data of the sliding body, carrying out acceleration stress analysis processing on the sliding body to obtain acceleration data of the sliding body; establishing a terrain deflection collision model by adopting the acceleration data of the sliding body, and updating the movement of the sliding body by utilizing the terrain deflection collision model under the conditions of momentum conservation and mass conservation to obtain movement evaluation data of the sliding body; and taking the motion evaluation data of the sliding bodies corresponding to all the sliding bodies as a terrain deflection collision type landslide debris flow motion evaluation result. On the basis, the prediction precision of the landslide debris flow motion behavior is remarkably improved.

The utility model discloses a pier anti-collision tough protection structure which comprises a U-shaped pile casing, a protection tile and a hinged support, the hinged support is fixedly arranged on the upper portion of the front side face of a pier base from front to back in the river water flow direction, the U-shaped pile casing is arranged on a pier in a sleeved mode, the open end of the U-shaped pile casing is located behind the pier, and a hinged support extending forwards is arranged at the lower end of the front side of the U-shaped pile casing. The hinge support is rotationally connected with the hinge support through a pin shaft horizontally arranged in the left-right direction, the protection tile is vertically arranged on the front end face of the U-shaped pile casing, a first anti-collision buffering mechanism is arranged between the protection tile and the U-shaped pile casing, and a second anti-collision buffering mechanism is arranged between the U-shaped pile casing and the pier. Under the condition that the damming section of the bridge pier is not increased, the toughness protection capability of the bridge pier under the action of external damage factors such as debris flow and rockfall is effectively improved, and the safety of the bridge is practically guaranteed.