108 results about "Terrain analysis" patented technology

The invention belongs to the technical field of topographic mapping, and discloses a topographic mapping system and method based on an unmanned aerial vehicle, and the method comprises the steps: a data collection module collects map geological data; the route planning module plans an optimal driving route; the data acquisition module acquires topographic images and point cloud data; the environment parameter monitoring module monitors flight environment parameters in real time; the image data analysis module is used for preprocessing and analyzing the image data; the radar data analysis module preprocesses and analyzes the radar data; the feature extraction and matching module performs feature extraction and matching on the image and the point cloud data; the terrain model construction module constructs a terrain three-dimensional model; and the terrain analysis module performs quantitative analysis on the terrain. According to the method, key feature extraction is performed on images and point cloud data, and image splicing and point cloud registration are realized; the terrain model construction module constructs a three-dimensional terrain model according to feature extraction and matching results, and the terrain analysis module obtains accurate terrain information.

The invention relates to the technical field of power system safety monitoring, in particular to a wire icing early warning system based on terrain analysis, which comprises a terrain analysis module, a microclimate simulation module, a meteorological data acquisition module, an icing risk assessment module, a real-time monitoring module and an early warning information generation module. Wherein the topographic analysis module is used for acquiring topographic feature data of a target area; the microclimate simulation module is used for performing microscale climate simulation on the target area to generate local meteorological parameters; the meteorological data acquisition module is used for acquiring real-time meteorological data of the target area; and the icing risk assessment module is used for constructing an icing risk assessment model. According to the method, accurate and real-time evaluation and early warning of the icing risk of the electric wire in the complex terrain area are realized by integrating the terrain features, the real-time meteorological data and the historical icing information and adopting the random forest algorithm and the microclimate simulation technology.

The invention relates to a method and a system for constructing a distributed hydrological hydrodynamic model based on a physical mechanism. The method comprises the following steps of: dividing a drainage basin into grids on a horizontal plane, performing digital terrain analysis based on a DEM (Digital Elevation Model), establishing a water flow dependency relationship between two-dimensional grids, and dividing each grid into different horizontal layers in the vertical direction; on each grid and different horizontal layers, two-dimensional hydrodynamic models used for describing rainfall, evaporation, soil moisture movement, slope runoff production and slope confluence are constructed on the basis of a physical mechanism; a distributed hydrological model and a two-dimensional hydrodynamic model are coupled, the distributed hydrological model is established in a mountainous area to realize fine simulation of a hydrological process, and a two-dimensional hydrodynamic model of flood routing of a river channel-flood storage and detention area is established on the basis of real-time subdivision of a terrain irregular grid in a plain flood storage and detention area. Submerged water depth and a time-space change process of a submerged area are simulated, and tight coupling of runoff production in a mountainous area, one-dimensional river channel confluence and a two-dimensional flood submerging process in a plain area is realized.

The invention relates to the technical field of forest fire prediction and simulation, in particular to a forest fire spreading prediction simulation system under complex mountain terrain conditions, which comprises a data acquisition module, a data preprocessing module, a terrain analysis generation module, a vegetation analysis module, a meteorological analysis module, a fire spreading simulation module and a result display module. According to the forest fire spreading prediction simulation system under the complex mountainous terrain condition, the influence of multiple factors such as the complex mountainous terrain, vegetation and weather on forest fire spreading is comprehensively considered, the prediction accuracy and reliability are improved, a user can visually know the forest fire spreading condition through visual result display, and the forest fire spreading prediction simulation system has the advantages of being convenient to use and high in practicability. According to the invention, scientific and reasonable fire prevention and extinguishing strategies can be formulated conveniently, latest data can be acquired and processed in time, powerful support is provided for monitoring and early warning of forest fire, scientific decision basis can be provided for forest management departments, fire departments and the like, and improvement of the prevention and control capability of forest fire is facilitated.

The invention discloses a three-dimensional terrain modeling analysis and adaptive navigation system and method, and relates to the technical field of navigation. A laser radar in the system is used for acquiring point cloud data of an area where a to-be-navigated device is located in real time; the IMU is used for measuring the acceleration and the angular velocity of a to-be-navigated device in real time; the data fusion sub-module is used for preprocessing the point cloud data, the acceleration and the angular velocity in real time and fusing the preprocessed data; the three-dimensional map modeling sub-module is used for constructing a three-dimensional map model according to the point cloud data by adopting an SLAM algorithm in real time; the three-dimensional terrain analysis module is used for determining terrain features of all points in the three-dimensional map model in real time; and the adaptive navigation module is used for performing path planning on the to-be-navigated device according to the three-dimensional map model and the topographic features of each point in real time to realize navigation. According to the invention, the precision of original data can be improved, the positioning precision is improved, and accurate navigation is realized.

The invention provides a wind and light power station area road planning method and system based on terrain analysis. According to the method, digital elevation model data and vehicle turning radius parameters of a wind and light power station area are processed, layered reconstruction and optimization are carried out, optimized sampling data are generated, and a road network is constructed by using the optimized sampling data; path optimization is further carried out based on the road network data to obtain a path candidate set, and final road path data suitable for the wind and light power station area is generated through an electric field layout and equipment adaptation algorithm, construction adaptability processing and a safe and smooth correction means, so that the road planning precision is improved, the construction adaptability is enhanced, and the construction efficiency is improved. The actual requirements under different topographic conditions are met, the problem that local environment characteristics and operation safety requirements cannot be reasonably integrated in traditional path planning is avoided, and the feasibility of wind and light power station road planning is effectively improved.

The invention provides a geological disaster risk area division method, system and product based on slope units, and the method comprises the steps: carrying out the slope unit division of initial geographic model data, and generating a plurality of slope units; performing terrain analysis on the initial geographic model data to generate a terrain evaluation factor group of each slope unit; performing multi-item geological disaster thematic evaluation on each slope unit by utilizing the comprehensive evaluation factor group of each slope unit, and generating risk grade data of each slope unit; wherein the comprehensive evaluation factor group at least comprises a terrain evaluation factor group; based on the risk level data of the slope unit and the pre-input administrative partition boundary map layer, the geological disaster risk partition map is generated, a standardized and normalized division process for improving the geological disaster risk area is provided, and the working efficiency and accuracy are improved.

The invention relates to the technical field of vehicle body posture leveling control, and provides a vehicle body posture leveling control method and system for an electric mountain transport vehicle, and the method comprises the steps: obtaining ground contact state data and a transverse shaft rotation angle in real time, and carrying out the contact terrain analysis according to the ground contact state data to obtain terrain parameter information; carrying out vehicle load distribution analysis according to the ground contact state data and the terrain inclination parameters to obtain pressure gravity center shift data; adjusting the horizontal axis rotation angle according to the pressure center-of-gravity shift data to obtain a target horizontal axis rotation angle; according to the target horizontal axis rotation angle and the terrain pressure distribution data, carrying out wheel bearing demand analysis to obtain a wheel pressure adjustment strategy; and driving the suspension system to level the posture of the vehicle body according to the wheel pressure adjusting strategy. The terrain environment change can be sensed in real time based on the wheel ground contact state change and the vehicle gravity center shift monitoring mechanism, the rotation angle of the transverse shaft and the wheel ground contact pressure are accurately adjusted, and self-adaptive leveling of the vehicle body posture is achieved.

The invention discloses a parallel evolutionary solution method for search space segmentation, comprising: S1, randomly generating solution schemes via a search space sampling and segmentation module, calculating fitness values by combining initial sample schemes with an optimization objective function, statistically screening sample schemes, determining the dimension direction K of the segmented search space, and dividing the search space into subspaces; S2, executing a global search algorithm in the segmented subspaces to obtain a global initial solution scheme; S3, using the global initial solution scheme as a starting point, obtaining a precise solution scheme via a local search algorithm. This method employs evolutionary sampling of the search space, deriving fitness terrain analysis results, and guiding the division direction and step size of the search space. Multiple search subspaces are segmented to enable parallel search for subsequent evolutionary calculations.

The invention discloses a parafoil system homing drop point planning method based on terrain and ground features. The method comprises the following steps: screening a nominal landing point based on a terrain analysis model; screening out a plurality of two-dimensional feature points from all nominal landing points; sorting all the two-dimensional feature points to obtain an optimal search sequence; obtaining the height of the piloted parafoil passing through each two-dimensional feature point based on time estimation, and obtaining a three-dimensional space path point; carrying out segmented trajectory planning on an air-drop trajectory between every two adjacent three-dimensional space path points by taking the lowest energy consumption as an optimization target, and integrating trajectory planning results of the piloted parafoil; acquiring a ground object image returned by the piloted parafoil; and carrying out ground feature classification on the ground feature image based on the ground feature classification model, and after all nominal landing points which are not suitable for landing are eliminated, outputting the remaining nominal landing points. The method is applied to the field of trajectory planning, the energy consumption of the piloted parafoil can be effectively reduced, and qualitative and quantitative analysis and evaluation can be carried out on a large-range landing preselected area.

The invention relates to the technical field of terrain analysis, in particular to an unmanned aerial vehicle image-based mountain terrain analysis and photovoltaic optimization arrangement method, which comprises the following steps of: performing aerial photography on a target mountain land by using an unmanned aerial vehicle, acquiring terrain image data, importing the image data into three-dimensional modeling software, and generating a three-dimensional terrain model; carrying out gradient, slope direction and shadow analysis based on the three-dimensional terrain model, determining an optimal arrangement area of the photovoltaic module, combining satellite image data, identifying and eliminating areas which are not suitable for development, designing an arrangement scheme of the photovoltaic module, carrying out simulation and verification in the three-dimensional model, and carrying out data acquisition by using the unmanned aerial vehicle again in a project acceptance stage. And generating a three-dimensional point cloud model of the actual construction condition, analyzing the inclination angle, the azimuth angle and the shadow shielding condition of the photovoltaic module based on the actual three-dimensional point cloud model, and evaluating the power generation loss. According to the invention, the arrangement scheme of the photovoltaic system is optimized, the power generation efficiency is improved, and an efficient quality acceptance means is provided.

The invention relates to the technical field of data analysis, in particular to a GIS-based land surveying and mapping data analysis system. According to the method, by introducing the multi-layer soil profile data and combining the parameters such as the soil organic matter content, the porosity and the water permeability, layered evaluation is conducted on the soil quality of different depths, soil stability analysis is finer, and the judgment precision of the tillage suitability is improved. In the aspect of farmland infringement and occupation monitoring, vegetation coverage information is extracted by using remote sensing data, and a vegetation reduction area can be accurately identified in combination with an NDVI index and vegetation density change, so that natural degradation and artificial infringement and occupation can be distinguished, and the farmland protection capability is enhanced. In the terrain analysis process, the terrain farming feasibility index is calculated through gradient and elevation changes, and more scientific quantitative evaluation of farming feasibility is achieved. The hydrological analysis evaluates the soil erosion risk through the water flow impact force, dynamically monitors the stability of the land parcel, and improves the response speed of cultivated land protection and water and soil conservation.

The invention belongs to the technical field of digital terrain analysis and artificial intelligence crossing, and particularly discloses an automatic identification method and system for basins in DEM data based on a neural network. The method comprises the following steps: adaptively determining a topographic relief amplitude analysis window based on a mean value point change method, and extracting an initial plain area by combining elevation, gradient and topographic relief amplitude; noise is eliminated through morphological optimization (hole filling and edge smoothing), a buffer area is constructed, and key terrain factors such as elevation and gradient change rate are screened to generate multi-channel feature data; dividing landform types by using ISODATA dynamic clustering, and outputting binary basin data; an improved ResUNet + + network (integrating multiple encoders, a cavity space pyramid and a channel attention mechanism) is adopted for end-to-end training, and refined segmentation of a complex boundary is achieved. The method supports cross-regional generalization testing, can realize high-precision basin identification in drought and moist landform scenes, and can be widely applied to the fields of resource exploration, ecological protection and disaster prevention and control.

The invention provides a motor drive control method of an electric cross-country motorcycle and an electronic device, and relates to the technical field of motor control, and the method comprises the steps: obtaining a target cross-country area of a target electric cross-country motorcycle, calling a GIS system to carry out the extraction of a terrain roughness distribution map based on the geographic position information of the target cross-country area, and obtaining a terrain roughness distribution map; obtaining a regional terrain roughness distribution map; obtaining a cross-country sub-region set; configuring a sensing monitoring frequency group set of the cross-country sub-region set; determining a real-time cross-country sub-region set; obtaining a real-time road feature set; and taking the real-time road feature set as a driving control analysis object, and carrying out adaptive driving control on the motor of the target electric cross-country motorcycle. The technical problems that in the prior art, electric cross-country motorcycle motor drive control is low in response speed and low in control accuracy to the actual road condition are solved, and the technical effects of improving the fitting degree of the motor drive control and the actual road condition and improving the response speed are achieved.

The invention discloses a natural resource big data off-line comprehensive analysis, annotation and proof system and method, and belongs to the technical field of natural resource informatization and geographic information processing. The system comprises the following components: a spatial data fusion module, which is used for realizing unified management and efficient processing of heterogeneous spatial data; the spatial index optimization module is used for realizing quick retrieval and high-performance query optimization of spatial data; the intelligent annotation and arrangement module is used for realizing low-code rapid configuration and business process automatic arrangement of different natural resource investigation scenes; the off-line analysis module is used for realizing buffer area analysis, space superposition and terrain analysis in an off-line environment; the real-time visualization module is used for realizing multi-level map display, track recording, vector element editing and multimedia evidence collection; and the data quality management module is used for realizing automatic quality inspection of geometry, topology and attributes and statistical analysis, version control and export management of annotation results.

The invention discloses an image processing and measuring method and system based on unmanned aerial vehicle radar and oblique photography, relates to the technical field of oblique photography image measurement, and is used for solving the problem that the accuracy of region division and anomaly detection results is reduced. The method comprises the following steps: calculating a vegetation change gradient in combination with a radar echo amplitude to generate vegetation distribution characteristics; extracting an under-forest ground and generating uniform extrapolation points; arranging a clinometer to obtain an elevation and a coordinate; calculating a local slope and a crown fluctuation amplitude; according to the method, the area vegetation coverage state is evaluated, abnormal areas are screened, extrapolation ground points of the abnormal areas are marked and output, high-precision exploration of the forest area is achieved, terrain complexity and vegetation distribution characteristics are accurately reflected, reliable data support is provided for forest management and terrain analysis, and exploration efficiency and precision are improved.

The invention belongs to the technical field of path planning, and particularly relates to an A * hybrid ant colony path planning method for simulating a flame spreading grid. Comprising the following steps: interactively setting a plurality of fire source positions in an obstacle environment of an initial static grid simulation map, and selecting a starting point; obtaining terrain analysis data and fuel model data of the map; calculating the spreading rate value of each basic grid, and constructing a conversion rule among a non-combustion state, a combustion state and a burnout state to simulate flame spreading; the map information is input into a function formed by nesting a simplified ant colony algorithm into a traditional A * algorithm, and the optimal path for the robot to go to a plurality of target points is planned; simulating the movement of the robot to dynamically present the optimal global path; the flame spreading model and the robot dynamic path planning model are input into a map function together, optimal path planning of the simulation robot in the dynamically changing flame spreading environment is achieved, and the environment and robot moving conditions are displayed in a basic grid map in real time. According to the invention, the optimal path planning for the robot to go to a plurality of target fire sources to implement the fire extinguishing activity under the obstacle and dynamic flame environment can be realized.

The invention relates to the technical field of power transmission line terrain analysis, in particular to a power transmission line terrain analysis method and device based on grid communication and a storage medium. The method comprises the following steps: firstly, acquiring digital elevation data of a power transmission line path area, and establishing a grid network by taking a certain point in the area as a rectangular corner point; taking any point in the grid as a starting point, setting a calculation radius, extracting terrain elevation data in the range, and calculating the maximum height difference with the starting point; and dividing the discrete network according to the height difference based on engineering technical and economic definition, and determining a terrain classification result of the initial grid. And iteratively calculating the terrain classification of each grid in the path region through a preset sampling step length, and communicating the grids of the same type. And according to a preset filtering area threshold value, filtering out grids of which the area is smaller than the threshold value, and obtaining a final terrain analysis result. According to the method, terrain analysis of the long-distance and large-span power transmission line can be realized, model selection errors caused by subjective judgment or low-precision data are avoided, and the design efficiency is improved.

The present invention relates to a photovoltaic module layout region extraction method based on the web. The method comprises the following steps: (1) establishing a digital elevation model; (2) setting slope and aspect parameters; (3) performing slope and aspect analysis; (4) extracting pixel units that meet a condition; (5) calculating layout spacing values; (6) performing area screening; and (7) arranging photovoltaic modules. In the present invention, terrain analysis is performed by means of a web application system, an available region for photovoltaic module layout is visually presented in combination with a graphical visualization tool and a three-dimensional technique, a rendering technique is used to simulate changes in form of illumination over time, and terrain structure information is interpreted, such that the optimal sunlight region of a site is extracted, the maximum power generation benefit of the site is achieved, and rational photovoltaic module layout regions can be provided for various complex terrains.

The invention discloses a method for realizing fine terrain analysis through image fusion by integrating multivariate surveying and mapping data, and relates to the technical field of remote sensing surveying and mapping data processing and image fusion of terrain analysis, and the method comprises the steps: generating grid elevation, ground point density and visual angle information based on a point cloud, constructing a risk index, and extracting a residual error; residual errors are calculated in a track transverse window and are related to view angle cosine, and a strip-shaped error mask is generated; estimating a deviation field through weighted least squares based on observation fitting and smoothing along an air route, correcting the earth surface and obtaining a pixel-level weight; the correction result and the exogenous elevation are fused according to the weight, and the fused elevation, the gradient, the curvature and other indexes are output. The method can improve the precision and reliability of the terrain index under the complex earth surface.

The invention relates to the technical field of outdoor navigation, and discloses an outdoor positioning and navigation system and an outdoor positioning and navigation method combined with terrain analysis. The system comprises a topographic data acquisition unit, a topographic feature analysis unit, a positioning data integration unit and a navigation path generation unit. The topographic data acquisition unit is responsible for processing original topographic data, identifying and extracting topographic elements and establishing spatial association; the topographic feature analysis unit calculates a topographic feature complexity index by matching a database template and completes conformity judgment; the positioning data integration unit executes correlation analysis of positioning points and terrain entities, and generates accurate position data by evaluating correlation strength; and the navigation path generation unit performs path feasibility analysis and risk calculation based on the result, and finally outputs a navigation scheme. According to the system, the safety and the positioning precision of a navigation path in a complex field environment are improved by quantifying the terrain feature complexity and intelligently fusing positioning data with the terrain.

The invention relates to the technical field of positioning navigation and map construction, in particular to a two-dimensional map terrain marking method based on multi-frame point cloud fusion data. According to the method, by fusing multiple frames of point cloud data, the accuracy and reliability of terrain marking are improved, and continuous terrain change information is provided for a dynamic environment. The method comprises the steps of constructing a two-dimensional map, obtaining fusion point cloud data of each grid region, dividing the fusion point cloud data into a plurality of grid regions in a three-dimensional space, obtaining a terrain category of each grid region, and carrying out terrain marking on the grid regions based on the number of each terrain category in the fusion point cloud data. According to the method, the limitation of the traditional single-frame point cloud data in terrain labeling is solved, and the accuracy of terrain analysis and the processing efficiency of terrain labeling are improved.

The invention discloses an irregular topographic surveying and mapping system and method based on a remote sensing technology, belongs to the field of topographic surveying and mapping, and solves the problem of poor precision and accuracy of irregular topographic surveying and mapping in the prior art. Reliability and accuracy of remote sensing data can be ensured, geometric correction and radiation correction are performed on the remote sensing data through the data processing unit, distortion and errors can be eliminated, accuracy of the remote sensing data can be improved, then extracted terrain data are transmitted to the terrain analysis unit, and data transmission state and channel transmission quality are monitored during transmission. The reliability, the safety and the efficiency of data transmission are effectively improved, and the terrain analysis unit performs data analysis and visual display on the terrain data so as to complete surveying and mapping work on irregular terrains and facilitate visual understanding and explaining of terrain features.

The invention belongs to the technical field of image processing, and discloses an underwater dredging robot terrain recognition method and system, and the method comprises the steps: obtaining an illumination attenuation coefficient through the shooting depth and plankton information, accurately correcting the influence of illumination on an image, and carrying out the brightness adjustment of the image based on the illumination attenuation coefficient, so as to enable the terrain features to be more prominent. Utilizing Laplace decomposition to obtain a multi-layer topographic image, and realizing multi-scale analysis; the accuracy of terrain analysis is improved by screening an edge texture region; the defogging weight is determined in combination with the illumination attenuation coefficient, and the dark channel prior is adopted for defogging recovery, so that the defogging effect is effectively removed, and the image visibility is improved. And reconstructing and synthesizing a complete image through an inverse Laplacian pyramid to obtain an underwater topographic image of which the quality is comprehensively improved, and further obtaining underwater topographic information. The method not only improves the image quality, but also achieves the precise analysis and recognition of the underwater topography, and provides powerful technical support for the research of the underwater topography.

The invention relates to a subway station waterlogging risk rapid assessment method based on system water balance, and the method comprises the following steps: S1, dividing a research region through terrain analysis and pipe network partitioning, and taking a catchment region where a subway station is located as an independent system; s2, calculating system inflow Wr by utilizing the designed rainstorm intensity and the comprehensive runoff coefficient; s3, calculating the system displacement Wp based on the design standard of the research area pipe network; s4, calculating the water accumulation amount Wj of the system through a water balance equation; s5, calculating system capacity W0 by means of terrain elevation data and a GIS tool; and S6, judging whether a waterlogging risk exists in the research area or not by comparing calculation results of the system water accumulation amount Wj and the system capacity W0. According to the method, rapid assessment of the metro station waterlogging risk at the initial stage is realized, the data requirement of metro station waterlogging assessment is reduced, and the required cost and time are reduced.

The invention belongs to the field of agricultural terrain decision, and particularly relates to a terrain analysis method and system based on unmanned aerial vehicle remote sensing monitoring decision, and the method comprises the steps: firstly obtaining various data of a to-be-mined region, constructing a three-dimensional terrain visualization and planting simulation model, configuring a crop planting attribute library, and simulating planting to obtain a score; secondly, screening crops according to a score threshold value, and performing secondary planning planting if a condition is met; the area needing to be transformed is transformed according to attributes, and difficulty is evaluated; and configuring a modification difficulty threshold according to the planting demand and cost of the user, and planting, modifying and planning the crops meeting the conditions according to the conditions. If the crops do not meet the requirements but the transformation difficulty is proper, selecting crops with low estimated cost for transformation and planting; and finally, when the crop planting difficulty is large and the growth vigor is poor, determining whether to transform planting according to conditions by analyzing attributes, thereby providing a precise decision for agricultural planting planning.

The present invention discloses a complex terrain analysis method based on the fusion of airborne LiDAR and spaceborne multispectral images, comprising: acquiring multispectral images and point cloud data; generating a depth map based on the point cloud data; performing rough registration on the depth map and the multispectral images to obtain rough registration point pairs; establishing a two-dimensional to three-dimensional conversion model by using the rough registration point pairs and the elevation values of the point cloud data; determining the fine registration coefficient through a search algorithm with the maximum mutual information value between the point cloud depth map and the multispectral images as the measure; converting the multispectral images according to the fine registration coefficient and the conversion model to obtain converted images; performing dynamic feature fusion on the converted images and the point cloud data to generate fusion data; generating a contour topographic map by using elevation information and displaying it in the multispectral images; and analyzing the complex scene in cooperation with the contour topographic map and the fusion data. The present invention reduces the time cost, improves the registration and fusion efficiency of heterogeneous data, and provides support for the analysis of complex scene conditions.

The invention relates to the technical field of robot autonomous navigation and environmental perception, in particular to a multi-sensor fusion SLAM and autonomous exploration method in a complex agricultural environment. The method comprises the following steps: correcting motion distortion through IMU forward propagation and laser radar back propagation; fusing the laser point-surface residual error and the visual luminosity residual error by adopting error state iteration Kalman filtering with sequence updating; carrying out object-level segmentation on the local point cloud map, and removing dynamic objects based on a weighted residual mechanism; carrying out loopback detection based on feature matching of deep learning; fusing three factors of a laser-visual odometer, IMU pre-integration and loopback through a factor graph model to obtain a global consistent track and map; autonomous exploration is carried out based on an optimization result, and automatic map construction is realized through terrain analysis and hierarchical path planning. The method effectively improves the positioning precision, robustness and automation level in an agricultural environment with dynamic interference and sparse features, and supports long-time reliable operation.

The present invention discloses a method for site selection and route selection of power transmission and transformation lines based on AI intelligence, which relates to the field of power transmission. It solves the problem that the existing methods for site selection and route selection of power transmission and transformation lines have poor application effects, and includes the following steps: Step S1: Divide the planning area of the power transmission and transformation line into multiple candidate line areas, respectively conduct regional terrain analysis on each candidate line area, and obtain line terrain survey data according to the analysis results; Step S2: Conduct analysis on the connection angles of transmission towers and poles for the candidate line areas according to the line terrain survey data, and obtain tower pole angle survey data according to the analysis results; Step S3: Select the site of the power transmission and transformation line according to the line terrain survey data to obtain the selected area of the power transmission and transformation line. In the selected area of the power transmission and transformation line, select the route of the power transmission and transformation line according to the tower pole angle survey data to obtain the selected power transmission and transformation line. The present invention can improve the accuracy of the method for site selection and route selection of power transmission and transformation lines.

The invention relates to an icing prediction initial field early warning method and device fusing multi-source data, computer equipment, a readable storage medium and a program product, and relates to the technical field of icing prediction. The method comprises the following steps: acquiring multi-source environment data of a target power grid region; the multi-source environment data comprises topographic data and meteorological data; performing terrain analysis on the target power grid region based on the terrain data to obtain terrain complexity of the target power grid region; correcting the meteorological data based on the terrain complexity to obtain updated meteorological data; constructing a three-dimensional environment model of the target power grid region according to the updated meteorological data; and carrying out icing prediction on the target power grid region through the three-dimensional environment model. By adopting the method, the icing prediction accuracy can be improved.