173 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 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 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.

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 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 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.

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 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 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.

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 relates to the technical field of vegetation quadrat investigation, in particular to a plateau abandoned mine vegetation quadrat investigation rapid arrangement device which comprises four vertical rods and four transverse rods. The four transverse rods form a frame capable of projecting a rectangle to the ground, and every two adjacent transverse rods are connected through a vertical rod. Two lifting grooves are formed in the outer wall of each vertical rod in the length direction of the corresponding vertical rod, the two lifting grooves in each vertical rod are arranged at intervals in the circumferential direction of the corresponding vertical rod, a lifting block is slidably arranged in each lifting groove in the length direction of the corresponding lifting groove, and the two ends of each transverse rod are detachably connected with the corresponding lifting blocks; and each cross rod comprises a plurality of butt joint rods which are in butt joint in sequence. The method can adapt to the vegetation quadrat survey of the complicated geological environment of the plateau abandoned mine.

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 invention discloses a plateau lake evaporation remote sensing calculation method considering terrain and a water body heat storage effect, and belongs to the technical field of surface evapotranspiration quantitative remote sensing inversion. According to the method, high-precision estimation of the evaporation capacity of the plateau lake is realized through an adjacent terrain effect and a water body layered heat transfer process. Firstly, a remote sensing image, meteorological data and a digital elevation model are acquired and preprocessed; then calculating a sky visual factor and a terrain configuration factor of terrain correction, and quantifying the influence of the terrain on radiation transmission; simulating water temperature distribution of different depth layers of the lake by using a one-dimensional heat transfer equation, and accurately calculating the heat storage flux of the water body; and finally realizing spatialization estimation of the evaporation rate by combining an energy balance equation and meteorological parameters. The method innovatively solves the key problem that a traditional evaporation model neglects a terrain effect and water body heat storage when applied to plateau lakes, and provides reliable technical support for plateau area water resource management and ecological protection.

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 relates to the technical field of cultivated land recognition, in particular to a highland mountain area cultivated land high-precision recognition method and device based on NSGA-II-XGBoost machine learning and a medium, and the method specifically comprises the following steps: S1, obtaining multi-source remote sensing data, and carrying out the preprocessing of the multi-source remote sensing data; s2, performing preliminary classification on the data obtained in the step S1 through a GEE platform, and enhancing classification precision by using a texture feature extraction technology; s3, fusing the data obtained in the step S2 according to the topographic features and the texture features to generate a multi-source feature data set; s4, explaining the XGBoost model by using the SHAP, evaluating the contribution of each feature in the topographic features and the texture features to the cultivated land identification result, and eliminating irrelevant or redundant features so as to optimize the input features of the model; and S5, a non-dominated sorting genetic algorithm II is adopted to optimize the hyper-parameter and feature combination of the XGBoost classification model, and an NSGA-II-XGBoost model is obtained. The method can effectively improve classification precision, can cope with challenges of similar spectral features or fuzzy boundaries, and has high application potential.