212 results about "Spatial analysis" patented technology

The invention provides a remote sensing coastline automatic extraction method and system based on residual space pyramid segmentation and two-dimensional attention, and relates to the technical field of space analysis. The method comprises the steps of high-resolution remote sensing image acquisition and preprocessing, sea-land segmentation network reasoning, probability graph thresholding and edge extraction and vectorization processing. According to the method, the segmentation precision is improved through multi-scale feature aggregation and attention enhancement, coastline vector data with geographic coordinates are generated in combination with edge detection and topological repair, and the method is suitable for spatial analysis and coastline monitoring.

The invention relates to the technical field of geological analysis, and discloses a method for fusing a three-dimensional geological model and a WebGIS (Web Geographic Information System), aiming at solving the problems of poor data intercommunity, limited spatial analysis capability, difficulty in real-time updating and low model loading efficiency of the existing method, and the scheme mainly comprises the following steps: extracting geological model data, and carrying out standardized format processing; lightweight processing is carried out, and geological attributes and model nodes are bound one by one; the format is converted into a binary format embedded with a metadata label, and data integrity verification and automatic error correction are carried out in the conversion process; constructing a non-uniform adaptive octree spatial index, a multi-level attribute data architecture and a real-time updating mechanism of attribute data; after the geological model and the terrain are precisely registered and fused, a dynamic loading mechanism, a high-performance rendering mechanism and a geological model real-time updating mechanism are constructed, and a three-dimensional geological analysis tool is integrated. According to the method, efficient loading, real-time rendering, dynamic updating and spatial analysis of the three-dimensional geologic model in the WebGIS are realized.

The invention discloses a reservoir identification method fusing seismic attribute inversion and ancient karst form modeling, and relates to the technical field of reservoir identification and modeling, and the method comprises the steps: carrying out the multi-modal fusion processing of a standardized image data set through an image sensor, obtaining the multi-modal fusion image data, executing the high-precision texture sampling and space alignment processing, and obtaining a multi-modal image data set; generating a cross-modal image fusion matrix; inputting the cross-modal image fusion matrix into an image topological graph structure construction process, establishing an image block node relationship and a spatial connection edge weight, and generating an ancient karst topological graph; and coupling the karst earthquake joint matching graph with the comprehensive reservoir attribute data, establishing an effective reservoir evaluation model, and generating a multi-stage reservoir prediction layer set through weighted fusion and multi-parameter spatial analysis. By constructing an ancient karst topological graph and a karst earthquake joint matching graph, spatial modeling of a complex karst structure and cross-modal correlation analysis of earthquake abnormal attributes are realized.

The invention discloses a method for analyzing the influence of railway tunnel construction on urban underground water, which belongs to the field of railway tunnel construction and comprises the following steps: S1, acquiring and preprocessing multi-source data; s2, constructing a geology-hydrology-construction-remote sensing multi-dimensional feature vector, and extracting an underground water disturbance index; s3, establishing a stress-seepage-heat conduction three-field coupling model; s4, analyzing a three-field coupling effect based on the three-field coupling model, and outputting a comprehensive risk level of the influence of tunnel construction on underground water; s5, fusing a comprehensive risk level by utilizing a GIS spatial analysis function, and combining real-time data to realize spatial visualization and graded early warning of underground water influence; and S6, geological parameters of the three-field coupling model are updated in real time, and an optimal construction parameter combination is searched. By adopting the method for analyzing the influence of the railway tunnel construction on the urban underground water, the scientificity and engineering practicability of analyzing the influence of the railway tunnel construction on the urban underground water are remarkably improved.

The invention relates to the technical field of synthetic aperture radars, discloses a method for monitoring activity of a high-order loose body based on multi-source SAR data, and aims to solve the problem that an existing high-order loose body activity identification mode is poor in accuracy. Obtaining multi-source SAR data and carrying out adaptive preprocessing; extracting a maximum back scattering feature and quantifying activity; carrying out activity identification and multi-scale feature analysis on the high-position loose body; and comprehensively evaluating the multi-dimensional risk of the movable high-position loose body. Through organic combination of multi-track collaboration, fine feature extraction and multi-dimensional model evaluation, an effective scheme is provided for solving the problems that early recognition of the high-position loose body in the alpine and valley region is difficult and risk evaluation is inaccurate, and the accuracy and timeliness of monitoring and early warning are remarkably improved.

The invention relates to the technical field of underwater robots, in particular to an underwater robot cluster path planning method and system based on a dung beetle algorithm, and the method comprises the steps: obtaining a coordinate division region to construct an environment model, calculating and extracting an obstacle distance to fuse ocean current interference to generate a dynamic obstacle avoidance strategy, and evaluating the path speed similarity to generate a candidate path. And acquiring an offset angle difference, normalizing environmental factors to generate a correction path, and calculating a curvature fusion collision probability to generate a global path control instruction. According to the method, a dynamic model is constructed based on Cartesian coordinate division, the spatial analysis precision is improved, a sonar distance and ocean current interference are fused to generate a dynamic obstacle avoidance strategy, the trajectory smoothness is enhanced, candidate paths are screened by using vector similarity and Monte Carlo simulation, the collaboration is optimized, disturbance is reduced through coordinate offset and ocean current correction, and the accuracy of the dynamic obstacle avoidance strategy is improved. The curvature and collision probability are combined to balance safe energy consumption, and multi-dimensional parameter fusion improves cluster adaptability, precision, efficiency and energy utilization rate.

The invention relates to the technical field of geological early warning, in particular to a dangerous rock mass instability analysis method, system and equipment based on a space-time diagram neural network, by fusing unmanned aerial vehicle LiDAR, multispectral data, meteorological radar data and the space-time diagram neural network (ST-GNN), the system realizes sub-meter spatial resolution and minute-level time response, and the stability of dangerous rock mass instability analysis is improved. The four-dimensional (time and space) analysis result of the instability probability of the dangerous rock mass is obtained through high-precision space-time modeling, the problems that a traditional geological disaster early warning system is low in resolution ratio, slow in response and high in misinformation are solved, the comprehensiveness, accuracy and reliability of instability prediction of the dangerous rock mass are improved, and the early warning effect is good. And full-chain intelligent closed-loop management of real-time data acquisition-dynamic prediction-early warning push-feedback optimization is supported, the emergency decision time is shortened by real-time rainfall superposition risk thermodynamic diagrams, and the attenuation rate of long-term prediction precision is reduced by dynamically fusing newly added geological data and instability events through incremental learning.

The invention discloses a wave energy array development site selection method, which belongs to the field of wave energy development and utilization, and comprises the following steps of: 1) processing geographical distribution data by utilizing a GIS (Geographic Information System) spatial analysis method to obtain a limited development area graph layer; and 2) constructing an evaluation index system of wave energy array development site selection, and carrying out standardization processing to obtain a comprehensive evaluation result. And 3) calculating an offshore distance, and generating a refined developable range layer. And 4) carrying out wave direction statistical analysis in the developable range to obtain an array development range. And 5) on the basis of determining the array development range of the target sea area, determining a potential development site. 6, quantitative analysis and trend analysis of the array development capability are carried out with the potential development site as the center point, and the key development site is determined.According to the method, multi-dimensional evaluation indexes such as environment compatibility, resource endowment, technical feasibility and economic rationality are integrated, and a scientific basis is provided for array development site selection of the wave power station.

The invention provides a geological disaster monitoring method based on BIM and LiDAR combination. The method specifically comprises the steps that coordinate conversion from a BIM model to LiDAR point cloud data is carried out; bIM + point cloud three-dimensional space analysis is carried out, and the spatial position relation between the surface collapse area and the tunnel is calculated; carrying out multi-time sequence LiDAR point cloud earth surface monitoring, and carrying out filtering classification on the ground point cloud of each time sequence to obtain real ground feature points; through point cloud space distance analysis, the 3D deviation of surface deformation is obtained and is used as a supplement of a foundation SAR monitoring result. Therefore, the spatial position relation between the ground collapse area and the tunnel can be accurately obtained. Belongs to the field of geological disaster monitoring and rescue.

The invention relates to a grassland ecological degradation recovery effect dynamic evaluation method and device, equipment and a medium, and the method comprises the steps: obtaining interannual remote sensing data for a target region, carrying out the vegetation feature extraction of the interannual remote sensing data based on the sliding operation of a predetermined window on the interannual remote sensing data, and obtaining a reference time sequence; calculating the relative change rate of vegetation in the target area based on the reference time sequence; and according to the relative change rate and a preset threshold value, evaluating the degradation or recovery condition of the vegetation in the target area. According to the method, the optimal spatial analysis scale, namely the window, is determined according to spatial heterogeneity characteristics (semi-variable function range), adaptive conversion from the pixel to the landscape scale can be realized, subjective interference can be eliminated, a reference time sequence reflecting vegetation characteristics can be accurately determined on the basis of the window, and the method has the advantages of being simple in structure and convenient to operate. And the degradation or recovery condition of the target area can be accurately evaluated based on the reference time sequence.

The invention discloses a multi-disaster chain type marine disaster risk assessment method based on regional disaster-bearing body distribution, relates to the technical field of marine disaster prevention and control, and aims to clarify the range of a research region, extract all disaster-bearing bodies in the research region, analyze the interaction relationship of the disaster-bearing bodies and establish an association probability matrix. By integrating a disaster chain theory, a probability statistical model and GIS spatial analysis, systematic identification and quantification of multi-disaster chain type marine disaster risks are realized, a logical relationship among a native event, a secondary event and a derivative event is defined, a disaster chain type structure chart is constructed, the total probability of a disaster-bearing body is calculated through a probability iterative algorithm, and the risk of the multi-disaster chain type marine disaster risk is identified and quantified. According to the method, direct and indirect conduction risks are comprehensively reflected, individual risk values are calculated in combination with disaster-bearing body vulnerability, and disaster chain overall risk values are generated through superposition, so that the limitation of isolated analysis of a single disaster in a traditional method is avoided, and complex interaction and cumulative effects of a disaster chain can be more comprehensively captured.

The invention discloses a risk zoning method for active fault engineering influence, which relates to the technical field of engineering construction evaluation, and comprises the following steps: I, fusing multi-source data of a detection fault, constructing a three-dimensional geometric model of the fault, and analyzing and correcting a fault distribution rule by utilizing a GIS (Geographic Information System) space; iI, combining fault sliding rate, paleoearthquake recurrence period and deep engineering crustal stress inversion, and evaluating activity characteristics of the hidden fracture in the engineering service period. Through multi-source data fusion, three-dimensional model construction and GIS correction, multi-factor overlay analysis and a dynamic correction mechanism, multivariate characteristics of the active fault and complex geological conditions of an engineering site are comprehensively considered, the problem of limitation of a zoning result is solved, the accuracy of risk assessment is improved, limitation of a single index is broken through, and the risk assessment efficiency is improved. Closed-loop management of data acquisition-risk assessment-engineering response is realized, and scientific and reliable technical support is provided for safe site selection, optimization design and operation and maintenance of major infrastructures.

The invention discloses a wind power plant micro-siting assessment method based on spatial analysis and climate adaptability, relates to the technical field of wind power plant siting, and solves the problems that in the prior art, spatial analysis depends on static topographic data, climate adaptability assessment uses dynamic meteorological data, and the static topographic data and the dynamic meteorological data lack a space-time synchronization mechanism; and a prediction result has a large deviation. The method comprises the following steps: firstly, acquiring multi-source data and fusing to realize time-space synchronization of the data; then, constructing and solving an objective function to obtain a candidate point set, and screening out an optimized point distribution scheme of which the prevailing wind direction coverage is greater than a set threshold value; and finally, inputting prediction data of various extreme climates into the cost-per-kilowatt-hour model, introducing extreme climate toughness parameters into calculation to carry out climate adaptability data correction, and calculating return on investment cycles under different carbon emission scenes. Through the steps, the limitation that only static wind resources are concerned on traditional site selection is broken through, and combined evaluation of the regional climate adaptability and the complex terrain adaptability is achieved.

The invention provides a high-precision road network topology model construction method based on multi-source data fusion, and belongs to the technical field of traffic transportation information processing, and the method comprises the steps: obtaining traffic industry management data, open source map data and map provider navigation data, carrying out the data fusion, and obtaining fusion data, constructing a topological network to perform validity and connectivity verification, and performing processing by using a fracture stitching algorithm to generate a road network topological structure; inheriting and standardizing attribute fields according to a road section space overlapping relation to obtain a structured attribute set, and optimizing by utilizing a space analysis algorithm and structural logic judgment to obtain an optimized road network topological structure; and combining the structured attribute set with the optimized road network topology structure to obtain a high-precision road network topology model. According to the method, the problem that a set of universal, efficient and iteratively-updated data fusion and topology modeling framework is lacked in existing high-precision road network topology model construction is solved.

The invention relates to the technical field of big data processing, in particular to a hydrological information forecast data collection automatic processing method, which comprises the steps of multi-source data automatic acquisition and access, data quality intelligent diagnosis processing and abnormity early warning, multi-index comprehensive drought evaluation model construction and drought trend intelligent prediction. GIS spatial analysis and visual display are carried out, and drought evolution is dynamically reflected; and user-defined configuration and adaptive learning are carried out. The equipment state can be displayed, and related personnel can be prompted to maintain the observation station in time; existing hydrological data of the hydrological bureau are fully applied, rainfall, river flow, soil moisture content and other single items are normatively determined to determine the drought level, and meanwhile, according to multiple indexes, comprehensive drought judgment is performed according to the proportion, and based on the GIS technology, an interpolation method and a proximity association method are utilized to determine a Xinjiang whole administrative division plane drought map; and according to the analysis data, automatically sorting out soil moisture content brief report materials.

The invention discloses an urban flood mapping and driving factor analysis method based on multi-source remote sensing data, and the method comprises the steps: respectively extracting an optical semi-permanent water body and an SAR semi-permanent water body based on a global surface water body data set and a Sentinel-1 image, and taking the intersection of the optical semi-permanent water body and the SAR semi-permanent water body to generate an enhanced semi-permanent water body mask; extracting a water body in a flood period by using the Sentinel-1 image to obtain flood water body distribution, and performing water body extraction precision verification in combination with the Sentinel-2 image; the precision of the SRTM DEM is improved based on a DEM error prediction model of a Transform network, and a corrected DEM is generated; and constructing a multi-dimensional spatial analysis model based on the elevation, gradient and surface coverage type of the corrected DEM, and identifying spatial distribution characteristics and a terrain driving mechanism of the flood water body. According to the method, comprehensive analysis is performed in combination with terrain factors, and the spatial precision and timeliness of flood risk assessment can be improved.

The invention discloses a power grid unmanned aerial vehicle inspection method suitable for a complex terrain area, and the method comprises the steps: S1, obtaining the terrain point cloud data and image data of the complex terrain area, and forming a three-dimensional terrain model; s2, performing overlay analysis on the power grid layout information and the three-dimensional terrain model through a geographic information space analysis technology, and planning a flight route of the unmanned aerial vehicle; s3, performing routing inspection according to the flight route and an unmanned aerial vehicle power grid global coverage routing inspection technology to obtain original power grid image data; s4, transmitting the original power grid image data to a ground control station through a wireless communication link, and processing the original power grid image data through deep learning to obtain defect positions and types; and S5, generating an inspection report according to the position and the type of the defect, and pushing the inspection report to operation and maintenance personnel through network communication for equipment maintenance and fault processing. The problems of low efficiency, high labor cost, incomplete data acquisition and inaccurate defect identification in complex terrains are solved, and the efficiency and accuracy of power grid inspection are improved.

The invention discloses an ecological environment intelligent pre-auditing method based on partition management and control and capacity control, and relates to the technical field of ecological environment informatization management. According to the method, parallel superposition is carried out on multiple types of ecological environment sensitive layers, dimension reduction processing and weighted integration are carried out on the multi-dimensional space conflict factors through principal component analysis, a quantifiable ecological sensitivity risk score is generated, the single logic that a traditional method can only judge whether overlapping exists or not is effectively overcome, fine expression of multi-layer composite conflicts is achieved, and the risk assessment efficiency is improved. And the resolution and judgment basis of spatial analysis are enhanced. A pollution factor-control unit-emission period three-dimensional capacity comparison model is established, and for capacity accounting requirements of multiple pollutant types, multiple space areas and multiple time dimensions, limitation of static threshold comparison of a traditional method is broken through, and dynamic adaptability and accuracy of capacity evaluation under a complex emission structure are realized.

The invention discloses a fishing boat automatic positioning early warning method and system based on Beidou navigation, and belongs to the technical field of Beidou navigation, and the method comprises the steps: collecting positioning data in real time, extracting a signal-to-noise ratio abnormal fluctuation rate and a positioning satellite number change rate abnormal value, building a multi-path error grade evaluation model, and carrying out the automatic positioning early warning of a fishing boat. Error grades are divided, and potential error areas are identified in combination with geographic space analysis; for a moderate error section, a signal quality dynamic weighted interpolation method is adopted to reconstruct a track, and finally corrected track data and early warning information with a label are output, so that a more accurate risk judgment basis is provided for a fishery administration supervision platform, high-robustness processing and intelligent early warning of positioning data in a complex environment are realized, and the accuracy of risk assessment is improved. And the accuracy and reliability of offshore operation supervision are improved.

The invention discloses an outdoor space public facility layout optimization method based on big data analysis, and belongs to the field of outdoor space public facility layout optimization, and the method comprises the steps: predicting the number of participants in a data set based on demands, and combining the illumination intensity, wind direction, temperature and rainfall in a comprehensive data set, calculating a meteorological suitability score of each region, and generating a preliminary facility layout data set including candidate position points and meteorological suitability scores thereof; on the basis of the adjusted candidate position data set, in combination with the average decibel value of each region, spatial analysis is executed, position points with the average decibel value lower than 60 decibels are screened, and an optimized position data set is generated and comprises the position points, a meteorological suitability score and a noise level; and based on the optimized position data set, in combination with the facility coverage range and the construction and maintenance cost, calculating the facility number and type of each region, and generating a facility layout planning data set including a facility configuration list of each region.

The invention discloses a tourism highway landscape segmentation method and device and a readable storage medium, and the method comprises the steps: firstly, presetting visual sampling points along a highway, employing a multi-azimuth visual collection strategy, and collecting image data and space coordinate information of vegetation, a water body, an artificial structure and a natural landform under a preset illumination condition; dividing the landscape resources into a natural class, a humanity class and a composite class through a classification model based on the visual feature parameters; performing level division on landscape resources by adopting a multi-dimensional quantitative evaluation system and combining visual uniqueness, ecological integrity and culture identification degree; calculating spatial buffer distances of different levels of landscape resources through a landscape sensitivity analysis model; and finally, based on the spatial continuity, the level distribution characteristics and the spatial buffer distance of the landscape category, generating a landscape segmentation boundary of the tourist highway through a GIS spatial analysis tool. According to the method, the scientificity and reasonability of segmentation are improved, and technical support is provided for tourism highway landscape planning.

The invention discloses a data processing method applied to digital twinborn hydraulic engineering, and relates to the technical field of hydraulic engineering, the decision reliability of the digital twinborn hydraulic engineering in a rainstorm scene is significantly improved through algorithm architecture reconstruction, a two-channel cooperation mechanism deeply couples water level time sequence monitoring and rainfall space analysis, and the accuracy of data processing is improved. A graph convolutional network is used for extracting drainage basin level rainfall thermodynamic diagram features, self-attention dynamic noise filtering is combined, space-time alignment of meteorological data and ground sensing is achieved, false alarms caused by equipment interference or data asynchronization are restrained from the source, it is ensured that an early warning instruction is only triggered under the real flood situation condition, and the early warning efficiency is improved. The edge intelligent closed-loop decision breaks through the cloud dependence bottleneck, the lightweight model locally generates a scheduling strategy at a gate station node, the reinforcement learning driven gate control takes the water level deviation as an optimization target, and the loss of frequent actions on equipment is synchronously constrained, so that the flood discharge response is changed from passive rule execution to active risk stabilization.

The invention provides an estimation method for newly added cross-border mining in a strip mine area based on an unmanned aerial vehicle technology, and relates to the technical field of mining management and resource monitoring. The method comprises the steps of obtaining early-stage and later-stage DEM data and image data, and aligning the DEM data by using bilinear interpolation to obtain matched data; and carrying out pixel-by-pixel difference calculation to generate a grid DEM difference image. And AI interpretation is carried out in combination with the image data, mining area mining range data is obtained, spatial analysis is carried out, and a cross-border mining range is determined. The new border-crossing mining range and the mining quantity estimated value are obtained through mask analysis, the problems that manual inspection and a traditional remote sensing method are low in efficiency and insufficient in accuracy are solved, and real-time and automatic monitoring and estimation of border-crossing mining are achieved.

The invention relates to the technical field of geographic information measurement, in particular to a landform surveying method and system for territorial space planning, and the method comprises the steps: 1, carrying out the fusion preprocessing of multi-source data; 2, constructing a planning constraint dynamic rule base; 3, space-time constraint coupling analysis: taking the digital elevation model as a reference, and correcting the space offset of the land cover map through a thin-plate spline function; comparing the planning threshold value with the current landform parameter in real time, and marking a conflict coordinate set of gradient overrun or settlement overspeed; 4, intelligently segmenting the landform units; and 5, planning suitability output: setting a dynamic buffer distance according to the fault activity grade and the rock-soil body type, and generating an early warning layer when a town unit exists in a buffer area. According to the method, remote sensing images, laser radar point clouds and geological survey data are fused, space-time dislocation among various data sources is eliminated, and the precision of space analysis is improved.

The invention discloses a multi-dimensional environmental data storage management method and system based on geospatial intelligence, and relates to the technical field of geospatial intelligence, and the method comprises the steps: selecting data collection equipment, building a data collection network, and obtaining multi-dimensional environmental data; performing data preprocessing on the multi-dimensional environment data; a storage medium is selected to store the preprocessed multi-dimensional environment data into a database, and data partitioning and indexing are carried out; performing spatial analysis, time sequence analysis and multi-dimensional analysis on the acquired data; and selecting a visual tool to manage the system, wherein the management comprises management of a system user, management of multi-dimensional environment data and monitoring of a running state of the system. According to the invention, the environmental conditions of different areas are accurately evaluated, and accurate data support is provided for environmental monitoring and management; timely and effective measures are taken to reduce disaster loss; a scientific basis is provided for urban planning, and rich data resources are provided for researchers.

The invention discloses a three-dimensional quantitative dynamic checking method for the flood prevention capacity of a transformer substation based on digital twinning and multi-source coupling, and belongs to the technical field of assessment and checking of the flood prevention capacity of the transformer substation. Multi-source data such as high-resolution satellite remote sensing, unmanned aerial vehicle laser radar, GIS spatial analysis and hydrological monitoring are integrated, a transformer substation digital twin and distributed hydrological-hydrodynamic coupling model is constructed, and a disaster-causing mechanism three-dimensional quantitative index system covering danger, exposure and vulnerability is established. According to the technical scheme, a full-process technical closed loop of data acquisition, model simulation, quantitative checking, three-dimensional visualization and dynamic early warning is realized, different scenes such as regions lacking data and transformed substations are adapted, the flood prevention capability level, weak point distribution and flood risk evolution situation of the substations are accurately output, and scientific support is provided for flood prevention transformation design and emergency disposal.

The invention relates to the technical field of rock-soil section analysis, in particular to a side slope section stability analysis system, which comprises a side slope segmentation module configured with a section segmentation strategy, constructing a virtual three-dimensional side slope model by performing geological contour scanning on a side slope, and analyzing the virtual three-dimensional side slope model to generate a plurality of characteristic sections; the multi-model analysis module is configured with an analysis model library, a plurality of slope space analysis models are stored in the analysis model library, and the multi-model analysis module is used for analyzing the structural surface of the feature section to determine a corresponding rock mass structure model; the working condition correction module is configured with a slope working condition parameter library and is used for establishing a parameter mapping relation with the corresponding characteristic section; and the stability coefficient calculation module is configured with a safety coefficient analysis model, and performs calculation and analysis according to the rock mass structure model and the slope working condition parameter library so as to determine slope stability coefficients of corresponding characteristic sections under different working conditions. The method has the effect that the accuracy and comprehensiveness of slope section stability analysis are improved.

The invention discloses a plot soil pollution condition survey information acquisition and analysis system, relates to the technical field of plot soil information acquisition and analysis, and aims to solve the problem of unclear soil pollution condition analysis. According to the method, abstract sample detection data is converted into a law conclusion with spatial significance through accurate association, standard processing, visual display and deep analysis, the accuracy and systematicness of spatial analysis are ensured, the practicability of a result is enhanced through visualization, and the accuracy and accuracy of the result are improved by combining the spatial distribution law of sample analysis. A pollution core area is delimited for an aggregation area, key parameters are counted, classified implementation of target area, physical and chemical property and pollutant detection is provided for traceability and key treatment, various sample sensors are accurately matched with detection items, a full-dimension detection system of basic attributes and pollution characteristics is formed, and the detection accuracy is improved. The grid point distribution method or the snakelike point distribution method is combined with the marked GPS coordinates, the sampling depth and the serial number, so that the point location distribution is uniform, and the space positioning traceability of the sample is realized.

The invention provides a blind sidewalk detection management method, device and equipment based on an unmanned aerial vehicle and a storage medium thereof, and the method comprises the steps: obtaining multi-source detection data through the unmanned aerial vehicle, and the multi-source detection data comprises image data and point cloud data; based on the image data, blind sidewalk feature extraction is carried out on the point cloud data, blind sidewalk point cloud is generated, and the blind sidewalk point cloud is a three-dimensional point set with geographic reference coordinates; performing topology modeling based on the blind sidewalk point cloud to obtain a blind sidewalk network topological graph; spatial analysis is carried out based on the blind sidewalk network topological graph, to-be-maintained road section data are obtained, and the to-be-maintained road section data comprise breakpoint data and coverage blind area data; and performing maintenance decision based on the to-be-maintained road section data to obtain a maintenance work order sequence. By adopting the method, high-precision spatial positioning and intelligent analysis of urban blind sidewalk facilities can be realized, the problems of inaccurate blind sidewalk breakpoint identification and coverage evaluation distortion caused by positioning errors are effectively solved, and the blind sidewalk connectivity detection precision and management efficiency are improved.

The invention relates to the technical field of ridge construction, and discloses an ecological ridge construction method for slowing down lateral seepage and intercepting non-point source pollution, which comprises the following steps of: extracting soil texture, elevation and area information of a target area, and scientifically delimiting a ridge and a farmland boundary by combining a spatial analysis and function partitioning algorithm; dynamically determining the height of the buffer zone according to the height difference relation and the flood and drought stress characteristics of plants; hydraulics characteristics are obtained through hydrological simulation, the width of the buffer zone and the filler amount are calculated based on the length-width ratio and hydrodynamic force coupling mechanism, optimal design of water flow regulation and control and pollution interception is achieved, and the stability and purification efficiency of the ridge system in different environments are ensured. According to the invention, the ecological ridge system with strong adaptability is constructed through cooperative analysis of multi-source terrain environment and ecological parameters.