229 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 plant invasion prevention and control ecological barrier forest grass belt configuration optimization method, and relates to the technical field of ecological barrier construction, and the method comprises the steps: collecting basic ecological data of a target research region, and generating an ecological thematic map through preprocessing and visual marking; investigating and counting invasive plant distribution data of the target area, and mapping the invasive plant distribution data to the ecological thematic map to generate an invasive plant distribution thematic map; determining an intrusion source ground and an intrusion path through spatial analysis and diffusion path analysis; performing grade evaluation on the protection area based on the intrusion distribution data, superposing an intrusion path and risk grade information, and determining an ecological barrier range; and constructing an ecological barrier forest and grass belt system, outputting a configuration scheme, and implementing plant invasion prevention and control. The technical problem that in the prior art, accurate prevention and control of invasive plants in a complex ecological environment are difficult due to insufficient comprehensiveness is solved, and the technical effect of optimizing the prevention and control effect on the invasive plants in the target research area is achieved.

The invention relates to the field of geological data acquisition, and particularly discloses an intelligent acquisition method for surveying in a plateau bare area based on an unmanned aerial vehicle, which aims at performing surveying according to a preset route through the unmanned aerial vehicle in route surveying work of a plateau bare area geological acquisition industry. And the identified information is subjected to big data processing and related data acquisition operation is executed. The method mainly comprises the steps that the flight route of the unmanned aerial vehicle is preset, the unmanned aerial vehicle carries out multi-position data collection at related positions through carried peripherals in cooperation with images and videos in an auxiliary mode, and after route exploration is completed, data are returned; and analyzing related route data, extracting related entity data by using a professional geological big data model, and performing accuracy correction and complementation on the extracted related entity data, so as to finally generate accurate route acquisition data. After acquisition is completed, the data can be automatically displayed on a mobile terminal web terminal according to related acquisition data for field acquisition personnel to provide related reference.

The invention discloses a remote sensing image-based western plateau frozen soil hot melt disaster identification method. The method comprises the following steps of obtaining and preprocessing a satellite remote sensing image and a radar remote sensing image of a western plateau frozen soil preset area; performing multi-scale segmentation on the preprocessed satellite remote sensing image to obtain frozen soil characteristics of a preset area; performing time sequence InSA analysis on the preprocessed radar remote sensing image to obtain the earth surface deformation rate of the preset area; constructing a western plateau frozen soil hot melt disaster identification model based on the frozen soil characteristics and the earth surface deformation rate; and based on the western plateau frozen soil hot melt disaster identification model, completing western plateau frozen soil hot melt disaster identification based on the remote sensing image. According to the invention, the occurrence and evolution trend of frozen soil hot melt disasters can be found in time. By constructing a disaster recognition model, early warning and monitoring of potential disaster areas can be realized, and a scientific basis is provided for disaster prevention and control.

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 relates to the technical field of disaster identification, and particularly discloses a plateau mountain geological disaster prediction method and device based on a millimeter wave SAR, and the method comprises the steps: obtaining the complete polarization SAR remote sensing information and large-scale DEM data of a plateau mountain; geological analysis information is generated based on the fully polarized SAR remote sensing information and the large-scale DEM data; performing feature analysis on typical mountain disaster remote sensing information based on the geological analysis information to generate typical disaster features; disaster inversion analysis is executed based on the typical disaster features, and a disaster interpretation model is generated; and predicting the geological disaster of the plateau mountain land based on the disaster interpretation model, and generating a prediction result. The original fully-polarized SAR remote sensing image is enhanced and corrected by using the multi-source heterogeneous data, and the mountain disaster is accurately analyzed by using the constructed disaster interpretation model, so that the recognition accuracy of the mountain disaster is improved.

The invention discloses a gold mine rapid prospecting method suitable for a plateau desert region, and belongs to the field of gold mine prospecting, and the method comprises the steps: obtaining geological and chemical prospecting data, and selecting a prospecting region based on the geological and chemical prospecting data; acquiring a high-resolution satellite image of the prospecting area, and acquiring geological, construction and mineralization alteration characteristics of an abnormal area of the prospecting area based on the high-resolution satellite image to construct a geological data set; a gold ore metallogenic area prediction model is constructed based on the long and short term memory network and the convolutional neural network; and inputting the geological data set into the gold ore metallogenic area prediction model for calculation, and generating a gold ore metallogenic area delineation result. Compared with a traditional geological prospecting method, the method has the advantage that the prospecting cost can be remarkably reduced by utilizing the high-resolution satellite image and the deep learning model to perform gold ore metallogenic prediction. Meanwhile, due to the fact that the accuracy of the prediction result is higher, unnecessary drilling and sampling work can be reduced, and resources and time are further saved.

A plateau mountain area road slope geological disaster automatic identification method fusing multiple data comprises the following steps: S1, acquiring multi-source heterogeneous data of a target slope area, including a time sequence satellite optical image, synthetic aperture radar interferometry (InSAR) deformation data, laser radar (LiDAR) point cloud data, meteorological and hydrological data and basic geological data, and generating fusion data; s2, constructing a space-time registration module, unifying the multi-source data obtained in the S1, establishing a unified space-time coordinate system for the multi-source data, and generating fusion data; and S3, processing synthetic aperture radar interferometry (InSAR) deformation data through a freeze-thaw cycle noise compensation model, and eliminating deformation noise caused by seasonal frost heaving and thaw collapse. According to the plateau slope disaster identification method, the plateau freeze-thaw compensation model is combined with a multi-modal dynamic decision-making mechanism, and physical mechanism complementation of InSAR and LiDAR is adopted, so that'earth surface deformation-rock mass structure 'two-dimensional verification is realized, and multi-data fusion is realized, and therefore, the automatic identification precision of plateau slope disasters is improved.

The invention discloses a plateau traffic corridor ecological zoning method, device and equipment and a mapping system. According to the scheme, meteorological station data, digital elevation model data and land utilization type data in a research area are obtained based on a vector range of the research area of the ecological division of the plateau traffic corridor. And obtaining the surface undulation degree and the ecosystem type of the research area based on the data, providing a meteorological station missing air temperature data interpolation method, and interpolating the missing air temperature. And determining and making three zoning indexes of a plateau climate zone type, a plateau landform type and a road area ecological type of the research area by combining a preset mapping relation based on the temperature data, the surface undulation degree and the ecological system type after interpolation, and performing spatial coupling analysis on the three indexes to obtain a coupling result. Performing multi-index-plaque clustering analysis based on the coupling result to obtain a clustering result; and performing ecological zoning on the research area based on a clustering result. And refined division of the plateau traffic corridor ecology is realized.

The invention provides a multi-source data fusion ice lake intelligent identification method and system and electronic equipment, and relates to the technical field of terrain monitoring. The method comprises the following steps: acquiring Sentinel-2 data, gradient data extracted by an ALOS-DEM and NDWI data, performing preprocessing, dividing the data into a training set and a test set, taking ResNet-50 as a backbone network, introducing a CBAM module, constructing a Mask R-CNN model, performing target detection and segmentation on a glacial lake region, performing model training by adopting a multi-task joint loss function, performing preprocessing on to-be-detected data, and then performing target detection and segmentation on the to-be-detected data. And inputting the optimal Mask R-CNN model, and finally obtaining a recognition result of the ice lake. The gradient data and the NDWI generated by combining the high-resolution ALOS-DEM elevation data effectively reduce the influence and misjudgment of the water body turbidity and the mountain shadow on the ice lake recognition, significantly improve the accuracy of the ice lake recognition, realize the automatic and efficient recognition of the ice lake area of the complex plateau terrain area, greatly improve the efficiency of the ice lake recognition, and reduce the cost of the ice lake recognition. The method is of great significance in predicting and preventing disasters such as glacier collapse and glacial lake outburst.

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 satellite remote sensing-based ice lake form information monitoring method for a region lacking data. The method comprises the following steps of: 1) acquiring and preprocessing height measurement satellite data; 2) extracting the water level of the glacial lake based on a self-adaptive threshold waveform redetermination method; 3) acquiring and preprocessing multi-source optical satellite data; 4) calculating a water body index; 5) extracting an ice lake contour based on a machine learning method; and 6) constructing a water level-area-water volume relationship. According to the method, the precision of extracting the water level by height measurement satellite data is improved by combining an adaptive threshold waveform redetermination method, the precision of extracting the contour of the ice lake is improved by combining several traditional water body indexes and by means of a random forest classification method, the blank of ice lake form information monitoring work in areas lacking data is made up to a certain extent, and the method is suitable for popularization and application. And efficient technical support is provided for evolution analysis and disaster early warning of the ice lake in the plateau area.

The invention discloses a guide hole pile sinking construction process for a PHC tubular pile in a gobi area of a plateau, relates to the technical field of PHC tubular pile construction, and aims to solve the problems that the construction of the PHC tubular pile is greatly challenged due to complex geological conditions, most of soil is loose gravel and the terrain fluctuation is relatively large in the gobi area of the plateau, and the construction progress is delayed due to the existence of a gravel layer, so that the construction cost is reduced. In order to solve the problem that more time and effort are needed to penetrate through the layers, the construction technology comprises the following steps that S1, preparation before construction is conducted, specifically, PHC pipe pile materials are prepared, surveying and setting-out are conducted through a total station, a theodolite or a level gauge, and a plane control network and an elevation control network of a project are built; the method has the advantages that it is guaranteed that various detection data such as the bearing capacity and the pulling resistance of a pile body meet the design requirements, and the pile is compact, resistant to hitting, high in penetrating capacity and high in adaptability to geological conditions with large terrain changes.

The invention provides a traffic time estimation method based on deep learning in a complex environment, and the method comprises the steps: firstly, obtaining a track data set comprising a plateau environment region and a mountain environment region; the trajectory data set is then divided into a training data set, a verification data set, and a test data set. Next, constructing a transit time estimation model, and training and optimizing the transit time estimation model according to the training data set and the verification data set to obtain an optimized transit time estimation model; and testing the optimized transit time estimation model according to the test data set, and determining a model evaluation index value. And finally, under the condition that the model evaluation index value meets the index threshold value, inputting to-be-estimated data into the optimized passing time estimation model, and outputting to obtain a passing time estimation result. According to the method, the adaptability of the traffic time estimation model to modeling of complex environmental terrains and weather factors is improved, so that the accuracy of estimating the traffic time in a complex environment can be effectively improved.

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 relates to the technical field of drilling equipment carrying, in particular to a geological drilling equipment carrying system suitable for plateau areas and a method thereof.The geological drilling equipment carrying system comprises a rail and a transportation plate trailer, the transportation plate trailer is slidably connected with the rail through a driving pulley, and the rail is laid on a ramp through a plurality of fixing supports; the front end of the transportation plate trailer is rotationally connected with a traction carriage through a connecting shaft, an adjusting rod for guiding the transportation plate trailer is arranged at the tail end of the traction carriage, a shaft hole for the connecting shaft to penetrate through is formed in the middle of the adjusting rod, adjusting rotating teeth are arranged at the free end of the adjusting rod, and a bearing plate is arranged on the transportation plate trailer. An adjusting assembly used for controlling the bearing plate to incline laterally is arranged on the transportation plate trailer and connected with the adjusting rotating teeth in a matched mode. By arranging the adjusting assembly, the deflection direction of the bearing plate can be controlled, the lateral centrifugal force of loaded equipment is reduced, the track is protected, and the stability of the track is improved.

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 building construction, in particular to a steel structure construction optimization method in a plateau sunshine environment, which comprises the following steps: establishing a thermal analysis finite element model of a steel structure in the plateau sunshine environment; based on the thermal analysis finite element model of the steel structure in the plateau sunshine environment, simulating a temperature field distribution rule of the steel structure in the plateau area in the sunshine environment; and the construction time of the steel structure in the plateau sunlight temperature environment is determined by simulating temperature field distribution and time-varying characteristics of the steel structure in the plateau sunlight temperature environment based on the thermal analysis finite element model. The problems that in the prior art, temperature distribution and change rules of the steel structure in the plateau alpine region are not accurately predicted, and construction time is not scientifically selected can be solved.

An optimized PLP placement method for plateau and mountain wind farms is provided. Starting from the outermost wind turbines, it measures turbine parameters. Firstly, install the first PLP to safeguard the outermost ones. Then, combine its parameters with those of the tallest turbine near the center to set up the second PLP, protecting turbines within a connection range. Next, use the previous step's parameters and those of the tallest turbine in the vertical area of the first two PLPs' plane to install the third PLP, shielding turbines in the area formed by three points. Repeat until covering the whole farm. Many cases prove its reliability, economy and suitability for wide application in optimizing PLP placement.

The invention discloses a surface soil humidity simulation method and system considering a soil freeze-thaw state, and belongs to the technical field of soil humidity simulation. The method comprises the following steps: acquiring land surface environment data and actually measured soil humidity data of a plateau area; preprocessing the data; dynamically judging the freeze-thaw state of the soil, and generating a machine learning model training sample; training and comparing a plurality of machine learning models considering the soil freeze-thaw state, and selecting an optimal model; and reconstructing the plateau area surface soil humidity based on the optimal model to obtain a time-space continuous simulation result. By considering the soil freezing and thawing state, the overall simulation precision of the surface soil humidity of the plateau region is improved, and the humidity simulation precision of the soil freezing period is remarkably improved.

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 relates to the technical field of geological exploration, in particular to an intelligent collaborative exploration system for an Aille iron drill polymetallic mine in a plateau desert region. Comprising the following steps that S1, a system collects existing geological, geophysical prospecting, geochemical prospecting and remote sensing data and collects data of 1: 50,000 gravity measurement, 1: 10,000 magnetic method measurement and AMT backbone section, a standardized exploration database is established, and data standardization processing is completed; through multi-source data fusion, intelligent joint inversion and three-dimensional modeling technologies, efficient and accurate exploration of the polymetallic ore in a complex geological environment is achieved, a cross gradient constrained intelligent joint inversion algorithm is adopted, Monte Carlo uncertainty analysis is combined, the deep ore body positioning precision is remarkably improved, and the deep ore body positioning precision is improved. By establishing a standardized exploration database and a quantized target area evaluation system, the delineation accuracy of the prospecting target area is remarkably improved, and by adopting a mode of combining high-precision comprehensive profile measurement and drilling verification, the exploration period is shortened, and the drilling ore finding rate is improved.

The invention discloses a plateau alpine region well logging information automatic updating system, relates to the technical field of well logging information, and collects an underground well logging state record set, dynamically adjusts a sampling strategy according to energy consumption and data characteristics, guarantees stable transmission and recombination of key data when a network is abnormal, and performs consistency check and missing completion on the data. According to the system, logging data can be automatically collected, dispatched, transmitted and complemented in the plateau and alpine regions, and through multi-source sensing, self-adaptive sampling, dual-channel communication and intelligent prediction, the real-time monitoring of the logging data can be realized, and the real-time monitoring of the logging data can be realized. The extreme environment problems of low-temperature network disconnection and insufficient power supply are effectively solved, data continuity and response timeliness are guaranteed, remote updating and closed-loop feedback are supported, high robustness and intelligent level are achieved, and the limitation that operation is unstable and response is not timely under the extreme condition in the prior art is broken through.

The invention discloses a remote sensing monitoring method for an ice lake. The method comprises the following steps: 1) downloading and preprocessing remote sensing data; 2) constructing a composite remote sensing index CI based on the NDWI and the DNSI; 3) preprocessing a composite remote sensing index (CI); 4) carrying out DEM data downscaling and pixel matching processing; 5) dynamically calibrating a CI threshold value based on the DEM; and 6) ice water classification and area extraction. In order to solve the problems that a single remote sensing index and a fixed threshold method are low in ice lake area extraction and ice water classification precision and poor in universality under the plateau complex terrain condition, a composite remote sensing index is constructed, a terrain factor is introduced to dynamically adjust a classification threshold, a support vector regression method is utilized to improve the fitting precision of a CI threshold and an elevation relationship, and the classification accuracy is improved. And the precision of extraction of the ice lake area, ice water classification and discrimination and the like is effectively improved. According to the method, the space adaptability and the monitoring precision of a glacial lake classification result are remarkably improved, and technical support is provided for evolution analysis and disaster early warning of the glacial lake in the plateau area.

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 utility model provides a high and cold mining area soil meteorological environment three-dimensional monitoring device and a monitoring system, and relates to the field of plateau environment monitoring, a monitoring rod comprises a top end and an embedded end, and the embedded end is provided with an expansion part for increasing the bottom area of the monitoring rod; the data acquisition unit comprises a plurality of acquisition modules and a collection module in signal connection with the acquisition modules, the acquisition modules are used for monitoring soil moisture content, weather information and environment information, and the collection modules are fixed on the monitoring rod and used for collecting the acquired soil moisture content, weather information and environment information; the data transmission unit is in signal connection with the collection module, and the data transmission unit is used for uploading the collected soil moisture content, weather information and environment information to a remote data processing server. According to the application, the extension part is arranged at the embedded end of the monitoring rod, so that the stability of the monitoring rod is improved, and the monitoring rod resists severe geography and natural environments; moreover, diversified information parameters are obtained, and support data are provided for research on the influence of mining in a mining area on the ecological environment.

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 belongs to the technical field of landslide identification and prediction, and particularly relates to a landslide distribution probability prediction method and system based on remote sensing data, and the prediction method comprises the following steps: step 1 to step 6, selecting a research area, capturing remote sensing data, describing a curved surface form of the research area, and constructing a digital elevation model; after screening, introducing elevation data into MATLAB software, and drawing a three-dimensional topographic map in a three-dimensional coordinate system; constructing a landslide probability model, simulating variables in the landslide, deducing seismic data, and deducing slope data; constructing a WGEN model, and deducing a precipitation density function of the research area based on GAMMA distribution to realize precipitation simulation; the prediction system comprises a web crawler module, a local database, a processor and a touch screen. According to the method, the elevation and rainfall of the plateau area are associated, multiple models are constructed, the landslide distribution probability accuracy is high, and risk early warning can be carried out within 3 hours after an earthquake.

The invention provides a plateau mountain area small-clear-distance tunnel construction method which comprises the following steps: firstly, adjusting an excavation section of an advance hole, excavating a contour to cover interlaced rock, and constructing a steel frame; then constructing a side wall support at an excavated position of a front hole support and a rear front hole support; constructing an inverted arch primary support of the preceding hole; constructing an advance hole inverted arch and filling the inverted arch; an upper step of the following hole is excavated, and primary support is constructed; excavating a lower step of the rear hole, and constructing a primary support; excavating an inverted arch of the posterior hole, completing initial supporting of the inverted arch, and removing the part, invading the posterior hole, of the steel frame; constructing a posterior hole inverted arch, and filling the inverted arch; and finally, after tunnel anchor blasting operation is completed, secondary linings of the preceding hole and the following hole are constructed. According to the construction method, the successive hole method is adopted for construction, the construction period is shortened, the cost input is low, and the material and management cost is saved; disturbance to surrounding rocks is small, the vibration influence on blasting of the surrounding rocks is reduced, and the integrity of the surrounding rocks can be effectively kept.

The invention discloses a method for identifying a rod-shaped object in a plateau mountain complex environment, and the method comprises the steps: carrying out the quick 3D point neighbor search, carrying out the spherical projection of an original three-dimensional point cloud, and carrying out the point neighbor search in a spherical projection space through a sliding window method; performing semantic segmentation on the point cloud data by using an improved 3D-MiniNet network; after semantic segmentation, searching by using a K-nearest neighbor method, and endowing each 3D point with a semantic tag; performing segmentation processing on the point cloud data of the rod pieces, and then performing filtering processing to obtain the point cloud data of each rod piece. Through a spherical projection and sliding window method, adjacent points of a 3D point cloud are quickly and accurately found, semantic segmentation is carried out on point cloud data by using an improved 3D-MiniNet network, information of a rod-shaped object can be accurately positioned, it is ensured that an unmanned vehicle can accurately judge a weeding position and a weeding range, and unnecessary damage to equipment is avoided.