217 results about "Topographic model" patented technology

The invention discloses a wharf shoreline terrain reconstruction method based on remote sensing data, and belongs to the technical field of three-dimensional terrain reconstruction. The method comprises the following steps: acquiring a multi-temporal multispectral remote sensing image, a synthetic aperture radar image, a laser radar point cloud and synchronous tidal water level data of a target wharf area; processing the multispectral image to generate an initial land and water segmentation map; carrying out tide correction by utilizing the tide water level data, fusing the multi-polarization characteristics of the synthetic aperture radar image, and correcting the ground feature type to obtain an accurate land and water boundary diagram; processing the laser radar point cloud to generate a digital surface model, extracting a shoreline contour with sub-pixel-level precision from the digital surface model, and endowing the shoreline contour with an elevation value; and superposing the shoreline contour with the elevation with the multispectral image to generate a three-dimensional terrain model. According to the method, the problems of low terrain reconstruction precision, large tide influence and insufficient automation degree of a traditional method in a complex wharf environment are solved, and high-precision and high-efficiency wharf shoreline three-dimensional automatic reconstruction is realized.

The invention discloses an intelligent method and system for multi-source heterogeneous data fusion management, and belongs to the field of data processing, and the intelligent method for multi-source heterogeneous data fusion management comprises the following steps: deploying a sensor network in a historical ponding area based on historical ponding point data and urban hydrological geographic information, acquiring real-time monitoring data, wherein the real-time monitoring data comprises rainfall intensity, road waterlogging depth, community waterlogging condition and drainage pipe network water level / flow; compared with the prior art, the method has the beneficial effects that sensors are arranged in the historical ponding area to obtain real-time monitoring data, and weather forecast, a terrain model and a pipe network model are combined to construct a waterlogging prediction model to predict whether a ponding risk exists in the historical ponding area in future set time (such as 0.5-3 hours in the future); the ponding risk is treated in advance, so that the problems of traffic interruption caused by ponding, citizen travel obstruction and the like are solved.

The invention provides an intelligent layout method, system and device for a land survey control network and a medium, and the method comprises the steps: building a space-time dynamic terrain model based on the obtained measurement data of a construction region; generating a candidate control point set in the construction area according to a preset layout density requirement; based on the space-time dynamic terrain model, performing stability analysis on each candidate control point in the candidate control point set to obtain a stability index of each candidate control point; based on the space-time dynamic terrain model, any two candidate control points in the candidate control point set are used as candidate control point pairs for time sequence intervisibility analysis, and time sequence intervisibility indexes of the candidate control point pairs are obtained; establishing a multi-objective optimization model according to the stability index and the time sequence intervisibility index; and solving the multi-objective optimization model by adopting a multi-objective evolutionary algorithm, and outputting a control network layout scheme set. By adopting the method, the point distribution quality of the control network can be improved.

The invention relates to the technical field of unmanned aerial vehicle navigation and control, in particular to an improved sparrow searching method for three-dimensional unmanned aerial vehicle path planning. According to the method, a three-dimensional mountain terrain model is constructed through a Gaussian function superposition method, obstacles and no-fly zones are defined by adopting a cylindrical geometric model, and obstacle avoidance constraints, take-off and landing safety constraints and flight height constraints are set; a comprehensive cost function with path length, threat penalty, flight safety height and path smoothness as sub-targets is constructed, an improved sparrow search algorithm is introduced, and a sine and cosine strategy is adopted in discoverer position updating to dynamically balance horizontal exploration and vertical obstacle avoidance. A Levy flight mechanism is introduced in follower position updating so as to enhance the capability of local development and jumping out of local optimum; the method comprises the steps of population initialization, role division, iterative optimization, collision detection and an elitist retention strategy. According to the method, a safe and smooth three-dimensional flight path with the optimal comprehensive cost is output, and the method is suitable for an actual unmanned aerial vehicle navigation task.

The invention provides a hydropower station reservoir area three-dimensional terrain modeling method and device based on multi-source data fusion, and relates to the technical field of three-dimensional terrain modeling, and the method comprises the steps: obtaining a multi-source data set containing point cloud data, image data, texture data and actual measurement data of a hydropower station reservoir area; preprocessing the multi-source data set to obtain a preprocessed data set; and according to the preprocessed data set, constructing a three-dimensional terrain model by using an improved Delou inner triangulation algorithm, a non-uniform rational B-spline surface reconstruction technology and a Laplacian smoothing operator. The geometric accuracy and the natural form of the three-dimensional terrain model can be remarkably improved.

The invention discloses an edge sea petroliferous basin paleotopography inversion method based on a machine learning algorithm, and belongs to the technical field of geological exploration and data processing. The method comprises the following steps: constructing a seismic profile data pool and carrying out image preprocessing; establishing an affine transformation relationship between pixel coordinates and physical coordinates by using an image digitization tool, and extracting a two-dimensional data sequence; establishing a mapping function of the measuring line distance and the longitude and latitude, and constructing a three-dimensional scatter data set; carrying out gridding interpolation by adopting a K nearest neighbor regression algorithm, and constructing a three-dimensional grid model; performing motion back-pushing and deformation-removing correction by using a plate reconstruction technology to obtain a paleotopography model; and generating a three-dimensional dynamic visualization result of paleotopography evolution through time interpolation. The method solves the problems that seismic profile images cannot be quantitatively analyzed, sparse data interpolation is difficult, and paleotopography inversion neglects structural deformation, and provides technical support for multiple fields such as oil-gas exploration.

The invention discloses a photovoltaic power station wind field evaluation method and system, electronic equipment and a storage medium, and relates to the technical field of photovoltaic power station engineering. The method comprises the following steps: carrying out classification processing on original point clouds, generating DEM data by using Delaunay triangulation in combination with a natural neighborhood interpolation method, and carrying out correction through ground control points and least square adjustment; and constructing a three-dimensional terrain model according to the corrected data and image data, determining a computational domain size and a boundary condition, performing terrain optimization, executing LES solution after applying near-surface turbulence inlet disturbance synthesized by PRFG3, and comparing and evaluating the obtained transient wind field data with field actually measured wind speed data. According to the method, accurate capture of complex terrain wind field features and dynamic adaptive correction of the model are realized, so that the evaluation period is shortened, the surveying and mapping cost is reduced, the precision and reliability of wind field evaluation are remarkably improved, and the demand of wind resource evaluation of a large-scale photovoltaic power station is met.

The invention provides a road three-dimensional lane line detection method and system based on binocular vision, and relates to the technical field of automatic driving, and the method comprises the steps: carrying out the online calibration of internal and external parameters of a camera and the time sequence alignment of the binocular image and IMU attitude data through collecting the forward binocular image and IMU attitude data of a vehicle; processing the binocular image after time sequence alignment, and determining a dense disparity map; generating a road point cloud based on the dense disparity map and camera parameters, and constructing an adaptive terrain model; constructing a depth enhanced BEV feature map according to the depth feature of the road point cloud and the texture feature of the binocular image, predicting candidate parameters of a three-dimensional lane line, and screening through various constraints; and then executing extended Kalman filtering and trajectory optimization to obtain three-dimensional lane line parameters. According to the invention, rapid and accurate detection of the three-dimensional lane line can be realized, the accuracy of three-dimensional lane line detection under a complex terrain is improved, and the deployment cost is reduced.

According to the model conversion method provided by the invention, the height map of the terrain and the weight distribution maps of the plurality of material layers are acquired, the target three-dimensional grid model is generated according to the height map, the weight distribution maps of the plurality of material layers are combined to generate the weight map, and based on the position of the target three-dimensional grid model in the world coordinate system, the target three-dimensional grid model is converted into the target three-dimensional grid model. Calculating texture mapping coordinates; and generating a material instance corresponding to the target three-dimensional grid model according to a preset material template, the weight map and the texture mapping coordinate. Through effective integration and conversion processing of terrain height information and multilayer material weight information, automatic conversion from two-dimensional terrain data to a three-dimensional grid model with complete material information is realized, and it is ensured that the finally generated three-dimensional model can accurately express a complex material mixing effect. And the visual authenticity and rendering efficiency of the terrain model are obviously improved.

The invention discloses an engineering surveying and positioning method and system based on Beidou. The method comprises the following steps: S1, establishing an oil field operation environment three-dimensional model, and performing satellite visibility and multipath prediction; according to the invention, by constructing a multi-path geometric model and a dual-antenna array discrimination and weighted suppression algorithm, reflection interference caused by a metal facility dense environment in a well site and a station site is effectively weakened; by fusing a local DEM terrain model and earth surface reflection characteristics and introducing vertical Kalman filtering, the stability and precision of Beidou elevation calculation are significantly improved; under the scene of insufficient visibility such as shielding of a drilling machine and large equipment, continuous and high-reliability positioning capability is kept through a tight coupling fusion strategy of IMU and vision assistance, so that high-robustness and high-precision Beidou engineering measurement positioning can be realized in a complex environment of an oil field.

The invention belongs to the technical field of surveying and mapping remote sensing, and discloses an automatic surveying and mapping system and method for urban and rural planning complex terrains based on image analysis. The method comprises the following steps of: acquiring multi-view heterogeneous image data of a target surveying and mapping area, performing layered decoupling processing and multi-view registration on an image, identifying spectral texture features and geometric three-dimensional features of a terrain, and performing complexity function partitioning on the surveying and mapping area according to the spectral texture features and the geometric three-dimensional features; the regional surveying and mapping demand degree is calculated by analyzing a terrain local complexity index and spatial distribution dispersion characteristics, so that a personalized sampling parameter range is screened out; constructing an optimized three-dimensional terrain model by fusing a terrain feature map, a point cloud reconstruction result and a geometric constraint attribute, predicting surveying and mapping precision, and performing comparative analysis on the predicted surveying and mapping precision and a back projection result to obtain a confidence evaluation result; the method is applied to a personalized urban and rural planning surveying and mapping scheme; according to the invention, accurate identification and personalized automatic surveying and mapping of the complex terrain are realized.

The invention relates to a spoil field three-dimensional form change analysis method, which comprises the following steps: constructing an air-space-ground collaborative multi-scale three-dimensional monitoring network by adopting an unmanned aerial vehicle carrying a laser radar system; dynamic construction of a multi-period digital elevation model and a digital terrain model is realized through a weighted fusion algorithm based on point cloud density difference and an improved progressive triangulation network encryption algorithm; performing time sequence alignment on the digital terrain models in different periods, and constructing a digital elevation difference model; and through a digital elevation difference model and a self-adaptive threshold change detection technology, the space-time differentiation characteristics and evolution rules of a slope curvature sudden change area, a surface roughness abnormal zone and a deformation rate of the spoil site are disclosed. According to the scheme provided by the invention, high-precision three-dimensional form dynamic modeling and deformation process precise monitoring of the spoil ground can be realized, and reliable technical support is provided for ecological safety situation assessment and geological disaster advanced early warning of the spoil ground.

The invention relates to a method for determining the position and / or orientation of tools of construction machines in a construction area, comprising the steps of: attaching at least one stereo camera to at least one construction machine or to a movable carrier, such that the stereo camera can detect at least one detection region within the construction area, preferably a working region of the construction machine, providing at least one reference point, the position of which is known relative to a predefined 3D world coordinate system and which can be recognised in the images of the stereo camera, in the detection region of the at least one stereo camera, calibrating the at least one stereo camera on the basis of the detection of the at least one reference point and triangulation in order to ascertain a transformation between the 3D world coordinate system and a 2D image coordinate system of the at least one stereo camera, preparing a virtual digital 3D terrain model of the construction area by means of digital image processing, in particular stereoscopy, and image recognition on the basis of the detection of the construction area by means of the at least one stereo camera, and representing predetermined working positions and detected actual tool positions and / or actual tool inclinations of the tool of the at least one construction machine in the virtual digital 3D terrain model.

The invention discloses an unmanned aerial vehicle mountainous region path planning method, and belongs to the field of unmanned aerial vehicle control, and the planning method comprises the steps: obtaining a three-dimensional terrain model of a mountainous region environment, so as to determine the operation space of an unmanned aerial vehicle; based on the three-dimensional terrain model of the mountain environment, constructing an unmanned aerial vehicle mountain path multi-constraint model; based on the three-dimensional terrain model of the mountain environment, obtaining an unmanned aerial vehicle mountain path planning model; and based on the unmanned aerial vehicle mountain path multi-constraint model, verifying the unmanned aerial vehicle mountain path planning model. The problems that in the prior art, it is difficult to adapt to constraints possibly existing in the mountain area, and the path planning efficiency is low are solved. Therefore, the quality of path planning is fully ensured, and the efficiency of path planning can be improved.

The invention discloses an intelligent booster station outdoor terminal positioning management system, which relates to the technical field of electric power facility management and comprises an acquisition module, an analysis module and a decision module. The acquisition module is used for acquiring multi-source original data of a cooperative target and a non-cooperative target in the booster station; the analysis module performs fusion processing on the multi-source original data to obtain target state information, and generates a multi-target optimal path according to a pre-constructed live-action terrain model; and the decision module identifies the motion state through a preset strategy rule according to the target state information, adaptively adjusts the positioning sampling frequency, and generates a real-time updated visual path. Through multi-source data fusion and intelligent analysis, the positioning precision and reliability are improved, real-time monitoring and dynamic path planning of the moving target are realized, and the safety management efficiency and the emergency response capability of the booster station are effectively improved.

The invention relates to the technical field of planet remote sensing data processing and three-dimensional reconstruction, and discloses a Mars three-dimensional terrain reconstruction method based on feature enhancement and multi-view stereo matching, which comprises the following steps: firstly, obtaining and preprocessing Mars stereo image data; secondly, extracting texture features based on a gray-level co-occurrence matrix, and performing region segmentation by using local entropy to distinguish a high texture region from a low texture region; then, parameters such as the size of a matching block and a similarity threshold value are adaptively adjusted according to a segmentation result, and a multi-dimensional mixed feature descriptor is generated to perform homonymy point matching; a coupling threshold model of the solar incident angle and the terrain roughness is constructed, and parallax calculation of the shadow and the steep terrain is optimized; and finally, combining cross-scale parallax propagation and global bundle adjustment to reconstruct a three-dimensional terrain model. According to the method, the technical problems that the matching reliability of areas such as weak textures and shadows on the surface of Mars is insufficient and the model is discontinuous are solved, and the integrity, the self-adaptability and the global precision of the reconstruction model are improved.

The invention discloses a simulation method and system for dust dissipation during mining and loading of a strip mine. The method specifically comprises the following steps: collecting dust concentration data, micro-meteorological parameter data and equipment operation parameter data; performing space-time alignment and quality verification on the dust concentration data, the micrometeorological parameter data and the equipment operation parameter data to form a time-synchronous fusion data set; based on the fused data set, a dynamic source intensity model is adopted to calculate real-time dust yield parameters; and based on the real-time dust production parameter and the three-dimensional terrain model, dust diffusion simulation is carried out by adopting a computational fluid mechanics method, and the simulation considers field topographic fluctuation, equipment and obstacle influences of the strip mine. Through deep fusion of multi-source data driving, full-process dynamic source intensity calculation and high-fidelity environment simulation, the accuracy of dust dissipation simulation is remarkably improved, and a reliable scientific basis is provided for formulating accurate and efficient strip mine dust prevention measures.

The application discloses a method and system for automatic land leveling control of excavators based on visual laser fusion, and relates to the field of automatic control of engineering machinery. The method obtains three-dimensional terrain point clouds of a working area through a binocular vision acquisition module, combines reference height signals of a laser leveling instrument and body posture data of an IMU, and constructs a global dynamic terrain model through a multi-sensor fusion algorithm. According to preset land leveling parameters, a target path for shovel operation is generated, joint control amounts of a swing arm, a dipper arm and a shovel are calculated in combination with kinematic inverse solution of the excavator, and finally, adaptive land leveling operation of the shovel is realized through a hydraulic actuator. The application solves the problems of traditional manual land leveling, such as dependence on experience, low precision and poor efficiency, significantly improves land leveling operation precision and efficiency, reduces labor intensity of operators, and is suitable for road subgrade leveling, building site excavation and leveling, farmland reconstruction and other scenes.

The application provides a three-dimensional model construction method and system for topographic mapping, which comprises the following steps: calling a terrain model in a terrain database, and dividing a detection area according to the terrain model; generating a flight path of an unmanned aerial vehicle according to a key detection position, wherein the unmanned aerial vehicle is provided with an image acquisition device, and information of the detection area is acquired according to an identification instruction, mapping information is generated, and a surface image model is generated; comparing a detection area with environmental information, historical information and action response respectively according to a plurality of detection areas in the surface image model and a deviation generation strategy to generate multidimensional deviation data; acquiring the surface image model, acquiring a detection area type, respectively calculating the credibility of the multidimensional deviation data according to the detection area type, generating a terrain change item according to the multidimensional deviation data; and updating each detection area in the terrain model according to the terrain change item to obtain a terrain three-dimensional model.

The invention relates to a regional ocean sound propagation field millisecond-level prediction method based on a deep neural network, and the method comprises the steps: constructing two factors which have the greatest influence on a sound propagation field for a target region: a sound velocity profile and a terrain; an environment information data set of an area sound propagation field is constructed by constructing an annual sound velocity profile of a target area node and building a large number of two-dimensional terrain models by extending around the node by 360 degrees, and the sound propagation fields of the area under different environment conditions are calculated by using a traditional sound field calculation model to serve as a training set; feature simplification parameters of the sound velocity profile and the terrain in each environment sample are extracted to serve as guide information of a corresponding sound propagation field, and a deep neural network is built to learn distribution rules of the sound propagation fields under different environment conditions in the area; and finally, the trained model can quickly predict the corresponding sound propagation field in the region according to different environmental condition characteristic batches.

The invention discloses a laser radar point cloud DTM reconstruction method for geological disaster survey, and aims to solve the problems of micro-landform distortion and insufficient feature recognition precision caused by vegetation shielding. The method comprises the following steps: data acquisition: acquiring auxiliary data such as laser radar point cloud data, orthoimages, slope vegetation data and the like; performing data preprocessing, performing original data resolving, performing point cloud denoising, retaining intensity and normal vector information, and exporting a. Las format; performing point cloud elevation flipping to construct a reverse mode, extracting surface feature points through mirror image transformation and rasterization, and generating a flipping DSM (Digital Subscriber Module); and DTM reconstruction and optimization: the DSM is overturned to recover the real geographic reference, and the high-precision DTM is obtained after optimization. The method can effectively solve the problems of important micro-landform distortion, insufficient feature recognition precision and the like caused by the influence of vegetation shielding when a terrain model is established by the existing point cloud classification technology.

The application discloses a kind of laser radar point cloud DTM reconstruction methods for geological disaster survey, to solve the problem of microrelief distortion and feature recognition accuracy caused by vegetation obstruction.The method comprises the following steps: data acquisition, obtaining laser radar point cloud data and auxiliary data such as orthophoto, slope vegetation data; data preprocessing, original data solving, point cloud denoising, retaining intensity and normal vector information, and exporting.las format; point cloud elevation flip constructs "inverted mold", extracts ground feature points through mirror transformation and rasterization, and generates flip DSM; DTM reconstruction and optimization, flip DSM restores true geographic reference, and high-precision DTM is obtained after optimization.The present application can effectively solve the problem of important microrelief distortion and feature recognition accuracy caused by vegetation obstruction when establishing terrain model by using the present point cloud classification technology.

The invention discloses a method and system for predicting the power generation capacity of a small hydropower station cluster for power supply guarantee, and the method comprises the steps: obtaining the topographic parameters, historical meteorology and power generation data of a sample small hydropower basin, and constructing an associated topographic model; extracting topographic features such as main valley tortuosity and gradient-area distribution from the model, and performing clustering; determining typical output capability and dynamic range of the typical output capability under each terrain category according to different meteorological grades and historical data; for the target cluster, according to the terrain and the current meteorological data of the target cluster, dividing each power station into a corresponding terrain category, and matching meteorological grades; and determining an output prediction base value, correcting by using a dynamic range, and finally summarizing to obtain the overall power generation capacity prediction of the cluster. According to the invention, through topographic feature analysis and dynamic error correction, the accuracy of small hydropower station cluster power generation capability prediction is significantly improved.

The utility model discloses a kind of underwater topographic model construction devices for rivers and lakes, belong to river and lake topographic survey technical field, its technical scheme main points include floating body structure, the top of the floating body structure is bolted with support structure, the inner wall of the support structure is movably connected with positioner structure, the bottom of the holding handle is bolted with the top of positioner bar, the bottom of the positioner bar is bolted with the top of mounting frame, the inside of the mounting frame is bolted with microwave radar detector body top, the inside of the mounting frame is bolted with the outside of protective frame, in the existing rivers and lakes underwater topographic model construction process, generally simple rope detection, detection depth is inconvenient to adjust, and complex operation is needed to adjust detector height, difficult to adapt to different water depth area detection demand, and detection operation is difficult to stabilize, if lack reliable buoyancy support, easily be impacted by water flow and tilt, resulting in detection position deviation, affect data precision.

The invention relates to a path planning method, electronic equipment and a storage medium, and the method comprises the steps: carrying out the laser three-dimensional reconstruction of a target region of a forest, obtaining a discrete laser point cloud terrain model of the target region, and enabling the target region to be a to-be-planned region containing a path starting point and a path end point; constructing a Gaussian regression prediction model of the target area, and converting the laser point cloud terrain model into a continuous elevation terrain model based on the Gaussian regression prediction model; extracting terrain information of the target area based on the elevation terrain model; and determining a driving path between the path starting point and the path ending point according to the topographic information. According to the technical scheme, the laser point cloud terrain model is converted into the continuous elevation terrain model based on the Gaussian regression prediction model to accurately extract the terrain information, and the driving path is planned according to the terrain information, so that the reference performance of the driving path is higher, and the passing success rate of the driving equipment can be improved.

The invention discloses a strip mine blasting vibration measurement point positioning method and system based on a three-dimensional model of a blasting area, and aims to solve the technical problems that traditional blasting vibration monitoring points are high in selection randomness and low in positioning precision, and the vibration attenuation rule of a complex blasting network cannot be accurately reflected. The method comprises the following steps: performing high-precision aerial survey and three-dimensional modeling on a blasting area by using an unmanned aerial vehicle, automatically searching an optimal vibration measurement point layout in a three-dimensional terrain model of the blasting area through a multi-target intelligent optimization algorithm in combination with blasting hole coordinates and a blasting time sequence, and realizing centimeter-level precision vibration measurement point field positioning through high-precision RTK equipment. According to the method, intelligent, high-precision and scientific vibration measurement point arrangement is realized, the scientificity and precision of vibration measurement point arrangement are improved, the method can adapt to various complex blasting networks such as row-by-row blasting and hole-by-hole blasting, and a reliable data basis is provided for blasting vibration attenuation law research.

This invention discloses a safety protection system for water conservancy projects based on big data, comprising: a database for centralized information management of digital topographic maps, aerial photographs, and digital topographic model data; an environmental monitoring module for acquiring and locating safety hazard monitoring data, and processing the safety hazard monitoring data into wireless signal data via an information processor for transmission to an environmental data storage module; an environmental data storage module for statistical analysis of safety hazard information; and an environmental judgment module for classifying and classifying safety hazard information based on real-time monitoring data, transmitting information indicating potential dangers to the environmental monitoring module to achieve timely location of safety hazards. This invention can effectively ensure the safety and stability of water conservancy projects.

The application provides a polarization SAR image simulation method for forests under complex terrain conditions, comprising the following steps: (1) setting parameters of a polarization SAR imaging process, including radar imaging parameters, forest parameters and terrain parameters; (2) generating a corresponding terrain model according to the terrain parameters; (3) constructing a forest model according to the forest parameters; (4) calculating a polarization SAR image according to the forest parameter model, and finally simulating the polarization SAR image of the forest under the complex terrain conditions. The method can improve the simulation of the polarization SAR image of the forest under the complex terrain conditions, can be used for understanding the remote sensing mechanism, testing new applications and designing the inversion algorithm of the forest structure, and can further explore the influence of the terrain on the polarization SAR image imaging process.

The invention relates to the technical field of three-dimensional geographic modeling, in particular to a land utilization planning auxiliary method and system based on a 3D terrain model, and the method comprises the following steps: obtaining point cloud and elevation information, converting the information into a terrain curved surface, discretizing the information into a voxel grid, analyzing a planning index, converting the planning index into a geometric constraint boundary, and traversing to construct a planning voxel field. Calculating earthwork digging and filling requirements and sunshine hours to generate an evaluation matrix, correcting the building voxel distribution and finely adjusting the terrain elevation. According to the method, terrain refined expression is realized by using an octree segmentation algorithm, indexes such as a plot ratio are converted into three-dimensional space geometric constraints, site suitability is evaluated through connectivity analysis, and building layout and earthwork balance are automatically optimized by adopting morphological operation, so that the problems of lack of space intuition and error accumulation in traditional two-dimensional planning are solved; the planning calculation precision and decision scientificity under the complex terrain are remarkably improved, and dynamic adjustment and visual expression of the scheme are achieved.

The application discloses a rendering method and device, electronic equipment and readable storage medium, the method comprises the following steps: receiving a real terrain model according to a scene to be rendered; the scene to be rendered is divided into a land block and a building colony; according to the distance from the camera position, receive the simple model parameters of the land block and the building colony; according to the real terrain model and the simple model parameters, the combination of the corresponding proxy grid and material instance of the land block and the building colony is generated; receive the simple model of the terrain prosthesis of the scene to be rendered, and generate the material and map of the simple model of the terrain prosthesis according to the material instance. The application renders different effects according to the distance of the terrain or the building colony, that is, the rendering effect is guaranteed, the memory occupation and the hardware performance consumption are reduced, the dynamic balance between the effect and the performance consumption is achieved, the material instance is used instead of the material, the size of the package body is greatly reduced, the memory occupation rate is greatly reduced, and the game experience is significantly improved.