108 results about "Plateau" 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 invention discloses a plateau mountain area avalanche susceptibility intelligent assessment method, and relates to the technical field of high mountain ice and snow disaster space early warning and risk mapping. According to the method, the influence of the microtopography is captured by adopting high resolution, the evaluation accuracy is improved, the control effect of the slope microtopography (the scale of 30-50 m) on the accumulated snow stress field can be accurately captured by adopting a factor map layer (based on data such as 12.5 mALOSPALSARDEM and Landsat-8OLI images) with the spatial resolution of 12.5 m, and compared with traditional 30mDEM and hectometer-level meteorological reanalysis data, the method has the advantages that the evaluation accuracy is greatly improved, and the evaluation efficiency is improved. Spatial differences of key factors such as terrains, earth surfaces and meteorology can be depicted more carefully, more accurate basic data support is provided for avalanche susceptibility assessment, and missing of key microtopography influence factors due to insufficient resolution is avoided.

The invention discloses a plateau rainfall fusion method and a plateau rainfall fusion system based on multi-source meteorological collaboration, and relates to the technical field of plateau rainfall fusion methods, and the method comprises the steps: obtaining a multi-source rainfall product, a meteorological covariable and high-resolution digital elevation model data, carrying out the time-space alignment and normalization processing of the multi-source rainfall product and the meteorological covariable, and obtaining the high-resolution digital elevation model data; forming a multi-source meteorological data set; based on physical variables in the multi-source meteorological data set, constructing four physical process links of water vapor transportation, terrain uplift, convection triggering and cloud microphysics, generating attention weight vectors through sub attention branches corresponding to the links, obtaining a causal attention weight matrix after weighted fusion, and performing weighted fusion on multi-source rainfall products to obtain a multi-source rainfall data set; generating a causal fusion feature map; wavelet decomposition is carried out on the causal fusion feature map and meteorological variables, large-scale components and small-scale components are separated out, and meanwhile the terrain uplift rate and the included angle between the wind direction and the slope direction are calculated according to the digital elevation model data and the wind field components.

The invention discloses a plateau structure active area debris flow development characteristic and disaster-causing mode identification method and system, and relates to the technical field of debris flow prevention and control engineering, and the method comprises the steps: S10, determining the development characteristic parameters of the plateau structure active area debris flow based on remote sensing and field investigation; s20, determining a debris flow formation mechanism, and calculating a debris flow influence range; and S30, analyzing the relationship between the debris flow influence range and the position of the potential influence area so as to judge the debris flow disaster-causing mode. According to the method, on the basis of obtaining the basic parameters of the debris flow, the development characteristics are identified, then the scale of the debris flow is calculated, the debris flow disaster-causing modes are determined, and the selectable debris flow disaster-causing modes comprise impact disaster-causing modes, silting disaster-causing modes and erosion disaster-causing modes. The method has a good effect of judging the debris flow disaster-causing mode of the plateau structure active area, can identify the disaster-causing mode of the glacier and glacier lake debris flow in the plateau area, and fills the blank in the debris flow disaster-causing mode identification technology.

The invention relates to the technical field of intelligent transportation, and particularly discloses a site selection optimization method and system for a temporarily-built plant station of a highland mountainous area expressway. The method comprises the following steps: acquiring functions of a concrete mixing station, a precast beam field and a temporarily-built plant station of a steel bar processing plant to obtain a BIM risk simulation program; acquiring a plateau mountainous area live-action three-dimensional model, and fusing the plateau mountainous area live-action three-dimensional model with a BIM risk Acquiring geological and climate data, converting the geological and climate data into a GIS space map layer, and associating the GIS space map layer with a BIM risk simulation program; a built-in geological taboo rule is set, rasterizing scanning is automatically carried out on the whole domain, and a high-risk area is eliminated; dangerous source identification is carried out on terrain risks, climate risks and construction interaction risks; according to the identification risk type and grade, recommending a protection structure and generating a BIM component; and automatically generating a plurality of site selection coordinates and a plant station layout optimization scheme. According to the method, the period of traditional site selection and protection design is shortened, and meanwhile the scientificity and economical efficiency of the scheme are guaranteed.

The invention discloses a tunnel plateau complex geology accurate exploration method based on ultra-deep horizontal drilling, which comprises the following steps: step (1) horizontal drilling layout: selecting a construction site on the ground of a to-be-tunneled tunnel, and planning a horizontal drilling track along a tunnel line; (2) horizontal drilling and multi-dimensional geological exploration are constructed, specifically, according to the planned horizontal drilling track, a petroleum drilling machine is used for constructing horizontal drilling; logging operation is carried out in the horizontal drilling construction process, and comprehensive logging and transient electromagnetic detection are carried out after horizontal drilling construction is completed; and step (3), integration and analysis of geological exploration data information: integrating and analyzing the data information collected by multi-dimensional geological exploration, determining geological conditions along the tunnel line, and identifying geological abnormal sections. According to the invention, the problems of discontinuous exploration and poor accuracy of traditional vertical drilling and geophysical prospecting means can be solved, and high-precision and continuous exploration of geological conditions near the tunnel line is realized.

The invention discloses a plateau long tunnel transverse channel angle optimization method, relates to the technical field of tunnel construction safety and operation, establishes a quantitative relation between a transverse channel angle and tunnel ventilation energy consumption, and provides a transverse channel optimal angle suggestion suitable for plateau weak surrounding rock. By constructing a stress-resistance-cost multi-factor coupling analysis model and combining rock mechanics and fluid dynamics numerical simulation, surrounding rock deformation, stress distribution and ventilation smoothness characteristics under five angle working conditions of 30 degrees, 40 degrees, 60 degrees, 70 degrees and 90 degrees are systematically compared and analyzed; the conclusion that the 60-degree crossing angle shows the optimal comprehensive performance in the aspects of relieving stress concentration of a triangular area, restraining deformation of a top plate and a bottom plate, improving ventilation efficiency and reducing operation cost is obtained, and theoretical basis and practical reference are provided for engineering design and optimization of the angle of the transverse channel of the plateau long tunnel.

The invention discloses a method for establishing a plateau mountain area asphalt pavement performance degradation prediction model, and the method comprises the steps: eliminating maintenance intervention factors, and calculating an annual PQI value of a target road segment by taking a traffic load as a weighting factor; based on the performance decay characteristics, jointly constructing a multi-parameter index model and a Gaussian curve model for comparative analysis; establishing a performance decay prediction model in combination with a PQI dynamic evolution rule; analyzing the significance of the regression coefficient of the model through t test; verifying the precision and stability of the model based on the goodness of fit and an error analysis result, and screening an optimal model; and finally outputting pavement performance prediction results of the secondary routes in different areas of the plateau mountainous area. And determining a final model by quantitatively evaluating the precision and the stability of the model and combining statistical test. According to the invention, precise prediction of pavement performance and data-driven maintenance strategy optimization in a complex environment of a plateau mountain area are realized.

The invention provides a plateau mountain PLP installation height determination method and system. The plateau mountain PLP installation height determination method comprises the steps of obtaining a plurality of preset installation positions of a plurality of PLP lightning protection devices; constructing a plurality of installation areas corresponding to the plurality of PLP lightning protection devices according to the plurality of installation positions; acquiring historical lightning stroke data corresponding to the current installation area; determining a first protection device with the farthest horizontal distance from the first PLP lightning protection devices corresponding to the area in the current installation area; obtaining topographic data and target equipment height of the first protection equipment, and a target horizontal distance between the first protection equipment and the first PLP lightning protection device; and according to the historical lightning stroke data, the topographic data, the target equipment height and the target horizontal distance, the installation height of the first PLP lightning protection device is calculated based on a rolling ball method. The precision of the PLP installation height can be improved, and the method is suitable for the special terrain and the lightning stroke risk of the plateau mountain land.

The application belongs to a kind of wind power prediction method, in view of the technical problem that meteorological forecast data and terrain characteristics lack physical consistency coupling under complex plateau topography, leading to insufficient accuracy of microscale wind field reconstruction and wind power prediction after considering the influence of wake, a kind of plateau wind power prediction method and related device are provided, meteorological forecast data and digital elevation model data of target plateau area are obtained, and terrain feature data is extracted;Call the AI prediction model fused with the terrain dynamics physical constraint term to obtain the downscaling wind field prediction result;The microscale wind field is reconstructed with the downscaling wind field prediction result as the boundary condition, and the single machine and full field power prediction curve are output by combining the inflow wind speed of each fan, power curve and wake influence.The application can improve the accuracy of wind power prediction under complex plateau topography.

This invention relates to the field of rotary drilling rig technology, specifically to a rotary drilling rig suitable for high-altitude geology, comprising an upper cylinder, a drill bit, and a locking mechanism. A notch is provided on one side of the upper cylinder, and a side cylinder is located at the notch. The upper end of the side cylinder is hinged to the upper cylinder, and the lower end of the side cylinder is hinged to the drill bit. The locking mechanism includes a locking block, a locking latch, and a control assembly. The locking block is fixedly connected to the drill bit and has a locking hole. The locking latch is hinged to the lower end of the upper cylinder, and a locking tongue is located at the outer end of the locking latch at its hinge point. A limiting block is located at the outer end of the locking tongue. A constraint hole extends inward through the outer wall of the upper cylinder, through which the locking tongue passes. When the locking tongue is embedded in the locking hole, the limiting block abuts against the outer wall of the upper cylinder, preventing the locking latch from being driven into or moving upward into the upper cylinder. The design of having part of the locking latch inside the upper cylinder and part outside avoids the risk of breakage of a fully internal locking latch, ensuring the safety and reliability of the rotary drilling rig and making it suitable for high-altitude geology.

The invention discloses an FBG sensor suitable for slope monitoring in a plateau environment, the FBG sensor comprises a flexible substrate and a plurality of FBGs, the FBGs are all arranged to be rod structures, each FBG comprises an optical fiber core, an optical fiber cladding and an outer cladding, and a grating array is arranged in the optical fiber core; the surface of the flexible substrate is symmetrically provided with two rectangular grooves along the axis, the plurality of fiber Bragg gratings are uniformly arranged in the two grooves, the flexible substrate is divided into a plurality of micro-segments, each micro-segment is set as a detection unit, each detection unit is connected with the data processing module, and the data processing module is connected with the data processing module. The detection unit comprises two vertically corresponding fiber bragg gratings installed in the two grooves, compared with the prior art, various influences of the plateau environment can be overcome, and the change condition of the slope can be accurately monitored; the temperature change is sensed by coating a special coating, so that the temperature coverage range is wide; the device is small in size, light in weight and convenient to install, and has the characteristics of long-term stability, wavelength multiplexing and the like.

The application relates to the technical field of relay protection, in particular to a fault type identification method and a computer system for a highland mountain power transmission line. A two-stage aggregation strategy is used to extract a fault event section from a denoised fault current signal, fault component currents are extracted for each fault event section, and average power ratios of fault duration stages and decay stages are calculated. The average power ratios are compared with a discrimination threshold value to determine the fault type, and reliable fault type identification under the highland mountain power transmission line is realized. The application aims to solve the problem of how to realize reliable lightning stroke identification in the special environment of highlands and mountains.

1. Name of the product in this design: Plateau Extreme Climate Environment Test Bench. 2. Purpose of this design: To provide simulated environmental conditions such as temperature, rain, ice accumulation, and high altitude during testing. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The invention discloses a plateau mountain area ecological protection red line monitoring and evaluating method, and relates to the technical field of ecological risk evaluation. The method mainly comprises the following steps: monitoring four dimensional indexes of ecological protection red line area and structure, land utilization type, ecological system quality and management capability; an evaluation index system is constructed in a way that the area is not reduced, the property is not changed, the function is not reduced, the quality is not reduced, the value is improved and the supervision and management are more strict; and carrying out protection effect evaluation on six dimension indexes of ecological protection red line area, land utilization type change, ecological system quality change, ecological system function change, ecological system service value change and management capability construction.

This invention discloses a method for selecting airdrop areas in high-altitude mountainous air transport. Based on data using raster images, raster pyramids, and vector hybrid data, and after dimensionless data processing, this invention pre-selects all candidate areas through GIS spatial analysis and constructs an evaluation index system that comprehensively considers the necessary specific needs for airdrop area selection in high-altitude air transport logistics. Then, the AHP decision analysis method is used to select candidate areas within the analysis scope and calculate evaluation values. Finally, K-Means clustering is used to group the candidate areas through iterative calculation, realizing a data-driven method for accurate airdrop area selection in high-altitude mountainous areas. The K-Means clustering grouping, calculated through iterative calculation, serves as the final result, providing a reasonable basis for site selection decisions. This invention offers accurate site selection results and good programming support, and can be widely applied in air transport, emergency management, and other departments to conduct airdrop area site selection data integration, information system construction, and new theoretical research.

The invention discloses a landslide susceptibility evaluation method based on improved deep learning, and relates to the technical field of geological disaster prediction. According to the method, the prediction accuracy is remarkably improved, deep correlation features of multi-source data are fully mined through fusion of a multi-machine learning model (RandomForest, LightGBM and AdaBoost) and an improved PeepholeLSTM model (an attention mechanism is introduced), the complex nonlinear relation between a landslide influence factor and landslide occurrence is effectively captured, and through test verification, the model AUC value can reach 0.92 or above, the accuracy rate exceeds 84%, and the recall rate exceeds 94%; the method is high in generalization ability, the overfitting risk of the model is reduced through data standardization, random disruption of a data set and dropout regularization, the model can adapt to geological environments and landslide characteristics of different areas (such as plateau mountainous areas and hilly areas), and the problem that an existing method is poor in area adaptability is solved.

The invention discloses a rapid inversion method based on a radar electromagnetic model in a high-cold and high-altitude geological environment, and the core idea of the method is that a two-parameter wave field forward modeling model is constructed based on a Maxwell electromagnetic field equation, a time window-based convolution type objective function is utilized, and a real source function is not needed. Source-independent full-waveform inversion of single-offset GPR data is realized, an SVD method is introduced to automatically extract a reference waveform and determine the length of a time window, direct wave and reflected wave information is effectively separated, and the inversion calculation overhead is remarkably reduced in cooperation with a multi-scale frequency and random sub-source sampling strategy. According to the method, high-precision reconstruction can be performed on the underground dielectric constant and the conductivity on the premise that accurate source waveforms are not needed, and the practicability and the real-time performance of plateau area non-contact radar detection are remarkably improved.

The present application relates to the technical field of railway engineering risk identification, and more particularly to a risk identification matrix construction method and system based on WBS-RBS, which comprises WBS decomposition to the bottom layer of work package for the whole process of railway engineering construction, RBS decomposition to the bottom layer of risk factor for multiple risk factors, construction of an identification matrix with work package as column and risk factor as row, and filling in risk correlation identification according to correlation determination rules. The present application can realize the structured mapping of construction tasks and multi-dimensional risk factors, and improve the comprehensiveness and systematicness of risk identification in complex environments such as plateau, alpine and ecologically sensitive environments.

The invention discloses a plateau slope field soil rainwater interception system construction method which is characterized by comprising the following construction steps: a, finishing preparation work before excavation, and cutting a waterproof plastic film as a lower layer film; cutting another film as an upper-layer film; b, surface soil excavation is conducted, specifically, 20-30 cm of soil on the surface layer of field soil is excavated out and accumulated on unoccupied land outside the field soil; c, performing ridge treatment; d, the first half part of field soil is constructed; the dug front half part of field soil is backfilled to the laid lower-layer thin film; e, construction of the rear half part of field soil is conducted, and the dug rear half part of field soil is backfilled to the laid lower-layer thin film; and f, backfilling surface soil and paving an upper film. By means of the method, the plateau slope field soil rainwater interception system can be conveniently obtained, and the soil surface layer with high nutrient content is reserved for planting. Rainwater can be effectively utilized, and the field soil planting effect and the land utilization efficiency of the loess slope land are improved.

This invention discloses an information processing method and system for severe convective weather forecasting in plateau regions. The method includes acquiring data of a preset type within the plateau region and preprocessing the data; performing topographic correction on specified physical quantities in the preprocessed data based on real-time DEM data; extracting specified physical quantities from the corrected data to obtain real-time key physical quantity feature data; inputting the real-time key physical quantity feature data into a pre-trained model to output the occurrence probabilities of three types of severe convective weather; generating a classified severe convective weather forecast product with a specified resolution based on the occurrence probabilities; and generating hourly classified severe convective weather forecast and warning information for the next N hours based on the severe convective weather forecast product and a specified benchmark. This method overcomes the problem of large forecast deviations caused by the complex topography of plateau regions.

This invention provides a method and system for calculating the liquid water content of permafrost in highland soil. [Solution] The method includes: step S1 acquiring a soil temperature and humidity observation network dataset from the central part of the plateau; step S2 performing texture classification on the soil to obtain soil texture classification results; step S3 combining the soil texture classification results and the soil temperature and humidity observation network dataset to fit the relationship between solid water content and soil temperature for soils with different textures; step S4 determining a formula for calculating the liquid water content of the soil based on the relationship between solid water content and soil temperature; step S5 improving the VIC model based on the formula for calculating the liquid water content; and step S6 calculating the liquid water content of the plateau permafrost using the improved VIC model.

This invention relates to the field of lake ecological monitoring and digital management technology, and discloses a digital management method for ecological monitoring and surveying of plateau lakes. The method includes: acquiring multi-source ecological monitoring and survey data of the river estuary area during the freeze-thaw period and uniformly connecting it to a digital management platform; dynamically defining the spatial range of the mixing zone in the river estuary based on an adaptive threshold of the spatial gradient field of suspended matter concentration from remote sensing; decomposing the pollution concentration components of each sampling point using a Bayesian Monte Carlo multi-terminal mixing model; dynamically updating the anisotropic variogram parameters based on real-time hydrological and meteorological data, and performing co-kriging spatial interpolation on the pollution concentration components; and integrating the spatial distribution and source attribution data of the pollution sources to generate monitoring and survey results and writing them into the management platform.

The invention discloses a continuous learning visual mileage estimation method for plateau mountainous regions, which comprises the following steps: acquiring an image sequence, and obtaining continuous multi-frame image data; constructing a batch image database, and screening samples according to a diversity strategy to improve the diversity of the samples to the greatest extent; the online continuous learning module continuously learns attitude transformation between image sequences online by taking an unsupervised monocular depth estimation network as a branch task; the real-time visual mileage reasoning application module is used for continuously carrying out visual mileage calculation according to network output and providing mileage input of downstream tasks, and by adopting the continuous learning visual mileage estimation method for the plateau mountain land, the adaptability of visual mileage estimation to unknown and changeable environments such as the plateau mountain land can be improved.

The application discloses a kind of ice lake remote sensing monitoring methods, comprising:1) remote sensing data download and pre-processing;2) based on NDWI and DNSI composite remote sensing index CI is constructed;3) composite remote sensing index CI pre-processing;4) DEM data scale reduction and pixel matching processing;5) based on DEM dynamic rate CI threshold value;6) ice water classification and area extraction.The application aims at the problem that single remote sensing index and fixed threshold method is low in precision of ice lake area extraction and ice water classification under complex topography conditions in plateau, poor in universality, composite remote sensing index is constructed, and topographic factor is introduced to dynamically adjust classification threshold value, the fitting precision of CI threshold value and elevation relationship is improved using support vector regression method, and the precision of ice lake area extraction and ice water classification discrimination and the like is effectively improved.The method significantly improves the spatial adaptability and monitoring precision of ice lake classification result, provides technical support for ice lake evolution analysis and disaster warning in plateau area.

The utility model relates to the technical field of construction drainage, and particularly discloses a reverse slope water diversion structure for a plateau alpine region, which comprises at least two fixed pump stations used for converging water flow of a clean water ditch and water flow of a sewage ditch respectively, the fixed pump station comprises a bin arranged on the side of a construction hole, a sedimentation tank and a water bin are adjacently arranged at the bottom of the bin, and a heating device is arranged in the sedimentation tank. The heating device comprises a bracket, a mounting plate, a heating rod, a movable rod and a cleaning plate; the bracket is fixed on the bottom surface of the mounting plate, a plurality of placing holes are longitudinally formed in the mounting plate, and the heating rods are fixed in the placing holes; a cleaning hole is formed in the center of the mounting plate, the movable rod is inserted into the cleaning hole, the cleaning plate is fixed to the bottom end of the movable rod, and a through hole corresponding to the heating rod is formed in the cleaning plate. By adopting the technical scheme provided by the utility model, the sedimentation tank can be prevented from freezing, and the sewage sedimentation condition can be conveniently monitored.

The invention relates to a method for determining the disaster avoidance distance of dangerous rocks and falling rocks in a plateau railway traffic corridor. The method comprises the following steps: S1, establishing a basic analysis model for numerical simulation; s2, analyzing the relationship between the rockfall movement distance S and the gradient a0; s3, analyzing the relationship between the rockfall movement distance S and the slope height H of the side slope; s4, analyzing the influence of the slope surface and slope bottom surface features on the rockfall movement distance, and determining a reduction coefficient D1 of the rockfall movement distance to the slope surface features; s5, the influence of the slope toe gentle slope gradient a1 on the rockfall movement distance S is analyzed, and the amplification coefficient D2 of the rockfall movement distance when the slope toe gentle slope gradient a1 ranges from 0 degree to 20 degrees is obtained; s6, establishing a digital terrestrial model of the to-be-measured area; and S7, determining a rockfall disaster avoidance distance. According to the method, the data is rapidly and efficiently processed by combining the digital terrestrial model with the basic analysis model, the determined rockfall disaster avoidance distance is equivalent to the actual slope rockfall movement distance, and the data processing is rapid and efficient and has small errors.

The invention relates to a plateau high and cold environment simulation test device and a use method thereof.The plateau high and cold environment simulation test device comprises a test container, an environment regulation and control assembly and an environment parameter monitoring assembly, and the test container is provided with a sealed cavity; the environment regulation and control assembly is used for regulating a plurality of environment parameters of the sealed cavity, and the environment parameters comprise air pressure, humidity and ultraviolet radiation intensity; the environmental parameter monitoring assembly comprises an air pressure monitoring unit, an ultraviolet monitoring unit and a humidity monitoring unit. In the technical scheme of the application, the test container, the environment regulation and control assembly and the environment parameter monitoring assembly are included, plateau environment parameters such as air pressure, humidity and ultraviolet radiation intensity can be comprehensively regulated and monitored, the problem that existing equipment is not comprehensive in environment factor is solved, and key parameters of the plateau environment can be comprehensively simulated; and the test accuracy and reliability are improved.

The invention belongs to the technical field of outdoor low-voltage power distribution, and discloses an outdoor low-voltage power distribution branch system temperature rise short circuit evaluation method, which comprises the following steps: constructing a five-field collaborative dynamic model, and deeply fusing an environment time-varying correction mechanism and an insulating material microscopic aging mechanism; variational mode decomposition is utilized to accurately distinguish load types, data quality is optimized in combination with a 3 sigma criterion, and nonlinear correlation between extreme environments such as salt mist and ultraviolet rays and contact resistance degradation and insulation tracking development is effectively revealed; the prediction deviation of the temperature rise peak value under a dynamic working condition is reduced, a potential fault source can be accurately positioned, and a more reliable state evaluation basis is provided for a power distribution system in complex environments such as coastal and plateau environments; a load, temperature rise and aging incidence matrix and an equipment fault propagation matrix are constructed to determine three-level evolution nodes and conduction paths of a fault chain; based on historical experimental data and an accelerated aging test calibration threshold, full-stage research and judgment from early warning level high-frequency monitoring and risk level load transfer to fault level isolation action are realized.