137 results about "Terrain elevation" patented technology

The invention relates to the technical field of unmanned aerial vehicle path planning, in particular to an unmanned aerial vehicle automatic navigation method and system for power transmission line inspection. Comprising the steps of collecting terrain elevation data and a wind speed fluctuation signal, generating a line corridor boundary elevation distribution diagram, analyzing the influence of a terrain gradient on a conductor sag, and determining a curvature limitation adjustment demand; re-planning the flight path in combination with the obstacle position information, and generating a detection path sequence; calculating a height abrupt change value and an attitude angle deviation value, judging whether an acceleration impact suppression requirement exists or not, and generating an inspection risk score of the vegetation invasion area; determining a cross span distance risk quantitative index, and generating a flight control instruction sequence; and verifying whether the path meets a boundary integrity standard, and generating an automatic navigation path sequence. According to the method, the problems of instability, insufficient coverage and poor safety of an unmanned aerial vehicle routing inspection path under a complex terrain condition are solved, and stable, continuous and efficient automatic generation of the power transmission line routing inspection path is realized.

The invention discloses a mountainous area wind field downscaling optimization method based on high-precision simulation, and relates to the technical field of meteorological numerical simulation, and the method comprises the steps: obtaining the terrain elevation data and meteorological monitoring data of a target mountainous area, recognizing slope abrupt change points, constructing a spiral sampling path, calculating a slope change value, determining the distance between sampling points, and generating target sampling data; performing orthogonal decomposition on the sampled data to obtain a frequency component, calculating a surface fluctuation coefficient, and constructing a boundary disturbance equation to obtain surface stress distribution; calculating an airflow motion state based on surface stress distribution, solving a vorticity equation to obtain vorticity characteristics of a leeward area, and calculating airflow motion correction parameters; and carrying out downscaling iterative operation on the corrected parameters and the meteorological monitoring data to generate target area wind field data with hectometer-magnitude spatial resolution. The simulation precision of the local wind field under the complex terrain condition is improved.

The invention discloses a catastrophe rescue robot digital twin control method and system, and belongs to the technical field of robot intelligent control. Comprising a virtual-real mapping module which processes the body state of a robot and catastrophe scene point cloud data in real time, and constructs and synchronously updates a digital twinborn body containing a terrain elevation map at a cloud end; the hierarchical decision-making module is used for making a decision in the digital twinborn body by utilizing a hierarchical reinforcement learning model, and outputting a wheel-leg movement mode and an excavation arm cooperation instruction by a high-level strategy network according to the terrain complexity; and the safety deduction module introduces a safety reinforcement learning mechanism, deduces and verifies the generated action instruction in the virtual environment, and restrains the dangerous action by controlling a barrier function. According to the method, the decision risk of the heavy robot in the unstructured catastrophic terrain can be reduced, the stability of motion control is improved, and a high-safety control strategy is provided for various complex obstacle crossing actions based on simulation prediction.

The invention provides a wind field inversion method and device based on multi-source prior data, equipment and a medium, and the method comprises the steps: building a target function of a three-dimensional fusion wind field based on the multi-source prior data and a fluid mechanics model simulation wind field, carrying out the iterative optimization of the target function, and determining the three-dimensional fusion wind field; constructing an initial deep learning neural network model, taking the three-dimensional fusion wind field as a truth value label, inputting the urban underlying surface features, the terrain elevation and the numerical weather forecast wind field into the deep learning neural network model, and training to obtain a target deep learning neural network model; and inputting the new numerical weather forecast wind field, the urban underlying surface features and the terrain elevation into the target deep learning neural network model, and outputting a refined wind field. According to the technical scheme provided by the embodiment of the invention, through the trained deep learning neural network model, high-precision rapid inversion of the low-altitude wind field is realized without depending on laser radar and ground observation data and depending on prior information such as numerical prediction and terrain.

The invention discloses a non-flat terrain autonomous navigation method based on path pruning and trajectory smoothing. The method comprises the following steps: constructing an elevation map with three-dimensional map information as a navigation map according to robot navigation space information; based on the navigation map, performing global path search by adopting a path pruning strategy to obtain an initial path from the starting point to the target point; based on the initial path, track optimization is carried out by using a B spline curve, and a smooth track meeting robot dynamics constraints is generated; in response to an obstacle which is detected on the smooth trajectory and cannot be avoided, performing three-dimensional obstacle crossing trajectory planning based on terrain elevation information of the elevation map, and generating an obstacle crossing trajectory capable of crossing the obstacle; wherein the robot performs autonomous navigation based on the smooth track or the obstacle crossing track. According to the invention, efficient global search, smooth trajectory optimization and intelligent obstacle crossing decision of the robot in unknown and non-flat terrains can be realized.

The invention provides a construction control system, method and equipment of an underwater leveling machine and the underwater leveling machine, and relates to the technical field of ocean engineering. The construction control system comprises a sensing subsystem used for obtaining the weight of stone in a hopper of the underwater leveling machine and the inclination angle of the hopper; the calculation subsystem is used for determining the stone mass based on the weight of the stone in the hopper and the inclination angle of the hopper and calculating the real-time material distribution mass flow rate based on the time sequence data of the stone mass; the current terrain elevation of the foundation bed is obtained to calculate the terrain residual error and the to-be-laid volume; and the control subsystem is used for generating a cloth control instruction through an optimization decision algorithm based on the real-time cloth mass flow rate, the terrain residual error, the to-be-laid volume and the predicted thickness distribution. According to the system, real-time working condition monitoring, dynamic flow calculation, terrain deviation analysis and predictive control strategies can be combined, closed-loop accurate control over the whole process from material conveying to bottom bed forming is achieved, and the control precision of underwater leveling construction is improved.

The invention relates to the technical field of computer graphics, and particularly discloses a three-dimensional intelligent visualization method and device for multi-source data loading, a medium and equipment.The method comprises the steps that an oblique photography model is loaded and dynamically adjusted, and an oblique photography live-action base is constructed; generating semantic 3D tiles data on the basis of the base; identifying a key entity object, carrying out lightweight processing on a high-precision GLB / GLTF model of the key entity object, and dynamically implanting the high-precision GLB / GLTF model into a scene; performing dynamic analysis and spatial superposition on the KML data associated with the key object, and constructing a multi-level three-dimensional scene information system from entity annotation to macroscopic annotation; dynamically coupling the KML elements with terrain elevation data to form a high-precision digital elevation base supporting visualization; based on a video memory dynamic partitioning mechanism, optimized resource scheduling is performed on a substrate, and adaptive balance of terrain complexity and system load is realized. According to the invention, the precision and efficiency of multi-source heterogeneous data fusion and the system stability can be improved.

The invention relates to the technical field of satellite navigation terminals, and discloses a Beidou terminal capable of intelligently evaluating multiple states. Comprising a Beidou positioning module used for acquiring a Beidou signal corresponding to the Beidou terminal; the control module is configured to execute the following steps: performing time sequence modeling on the propagation time delay, the geometric distribution factor, the ionosphere influence parameter and the troposphere influence parameter of the Beidou signal to generate a positioning reliability index so as to realize positioning state evaluation; performing conjoint analysis on the Beidou signal, and outputting a data credibility grade; processing the inertial navigation data, the terrain elevation data, the sky satellite geometric distribution factor and the multi-terminal altitude difference data corresponding to the Beidou terminal through a convolutional neural network to generate a three-dimensional environment interference coefficient; and fusing the channel fading parameter, the network topology data, the communication antenna signal-to-noise ratio, the transmission rate change parameter and the data integrity parameter corresponding to the Beidou terminal, and calculating a communication link stable value to realize communication state evaluation.

The invention provides an electric power emergency unmanned aerial vehicle disconnection phased array auxiliary return flight planning method and system, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the steps: enabling an unmanned aerial vehicle to obtain and analyze a signal through an airborne signal receiving unit based on a directional navigation signal, so as to obtain navigation data; calculating the current actual position of the unmanned aerial vehicle according to the navigation data in combination with inertial measurement unit information and terrain elevation data built in the unmanned aerial vehicle; and taking the safe landing preparation point and a dynamic reference point as focuses, constructing a dynamic navigation constraint ellipse according to a preset eccentricity, and calculating the orientation and the in-domain course of the unmanned aerial vehicle relative to the dynamic navigation constraint ellipse. According to the method, phased array directional navigation signals are combined with dynamic path planning, so that the safety and adaptability of autonomous homeward voyage of the unmanned aerial vehicle in a complex terrain environment are improved.

The application discloses an amphibious robot path planning control method, characterized in that comprising the following steps: step 1: according to the environment terrain elevation model already introduced in the amphibious robot system, the global optimal path from the starting point to the target point is calculated by using the HHO algorithm; step 2: according to the real-time geographical position of the amphibious robot, the navigation is started according to the global optimal path; step 3: when the amphibious robot encounters an obstacle, it is judged whether the obstacle is a known obstacle, and the amphibious robot is controlled to avoid the obstacle according to the specific situation of the obstacle. In the process of navigation of the robot, two different obstacle avoidance strategies are carried out according to whether the obstacle is a known obstacle, the real-time position of the robot can be dynamically positioned and corrected, and dynamic obstacle avoidance can be safely and quickly carried out, so that the robot is more accurate in the process of navigation on the preset route.

A kind of based on four-wheel independent drive chassis's harvesting platform terrain simulation adjusting system and method belong to intelligent agricultural machinery technical field.Aiming at the problem that existing platform is difficult to adapt to complex terrain, the mapping relationship of vehicle pose, terrain elevation function and platform space posture is constructed in unified ground coordinate system, data is acquired in real time by terrain information acquisition module and vehicle posture measurement unit, three degrees of freedom adjustment of platform lifting, pitching and roll are realized by double independent electric push rod through coordinate transformation and geometric inverse solution.The system includes mobile platform, hanging module, harvesting and conveying module, collecting device and controller.The invention realizes high-precision profiling control under complex terrain such as hills and slopes, maintains constant ground clearance and set posture angle, significantly improves harvesting quality and operation safety.

The application relates to the field of meteorological data processing and satellite navigation application, and provides a multi-source meteorological data fusion method and system based on a Beidou space-time reference. The method comprises the following steps: acquiring Beidou data and multi-source meteorological data to be fused, taking the coordinated universal time timestamp output by a Beidou ground-based enhancement station as a global time reference, and setting a sliding window; taking the world geodetic coordinate system corresponding to the Beidou positioning data as a space reference, resampling the multi-source meteorological data to a preset standard grid, and combining terrain elevation data to construct a unified space coordinate system; calculating the confidence degrees of fused static terrain features and dynamic change features based on Beidou satellite orbit residual and clock difference parameters, adjusting the feature weights of the fused static terrain features and dynamic change features, and generating an enhanced fusion feature matrix.

The invention relates to the field of intelligent robots, and discloses a gait adjustment method, device and equipment of a robot and a storage medium, and the method comprises the steps: obtaining target sampling points of feet of a humanoid robot, and coordinate values and terrain elevation data corresponding to each target sampling point; calculating a foothold return value of the humanoid robot according to the coordinate value corresponding to each target sampling point and the terrain elevation data; obtaining the maximum value of terrain elevation data of each target sampling point in a preset radius, and calculating a step kicking return value of the humanoid robot according to the coordinate values and the maximum value of the terrain elevation data; and performing gait adjustment on the humanoid robot according to the foothold return value and the step kicking return value. According to the method, the coordinates of the target sampling point and the terrain elevation data are obtained, and the two return values of the foothold and the step kicking are calculated, so that the humanoid robot is guided to carry out accurate gait adjustment, and the autonomous motion adaptability and stability of the robot in complex terrains such as stairs are improved.

The application discloses a 4D video generation method fusing monocular vision and terrain elevation data, comprising the following steps: acquiring video frame images and corresponding camera pose data collected by a monocular camera; acquiring terrain elevation data of a target area, and constructing a three-dimensional elevation network model; based on the camera pose data, establishing a ray projection model for pixels in the video frame images, calculating the intersection of the rays and the three-dimensional grid model, and obtaining the reference distance from the monocular camera to the ground surface corresponding to the pixels; generating an initial relative depth map of the video frame images by using a depth estimation model; selecting high-confidence ground pixels from the video frame images as reference points, taking the reference distance corresponding to the reference points as the true value, and performing absolute scale correction on the initial relative depth map to obtain an absolute depth map; performing back projection calculation on the absolute depth map, the camera pose data and pixel color information to generate a three-dimensional point cloud, mapping the three-dimensional point cloud to a real geographic coordinate system, and generating 4D video data in time sequence.

This invention relates to the field of digital simulation technology, specifically to a method for three-dimensional visualization modeling of natural resources based on digital twins. The method includes: constructing a discrete computational map based on a real-world three-dimensional model of the target area and geographic information system (GIS) data; projecting the design base of the building information model (BIM) onto the discrete computational map to determine design boundary nodes; performing constraint propagation calculations on the discrete computational map using the design boundary nodes as propagation starting points to determine the cumulative compliance consumption and cumulative horizontal projection distance of each node in the discrete computational map; determining the topology type of each node based on its cumulative compliance consumption, cumulative horizontal projection distance, original terrain elevation, and preset engineering slope parameters; and geometrically reconstructing the discrete computational map based on the topology type of each node to generate a digital twin model that integrates the BIM and the real-world three-dimensional model. This invention simultaneously achieves automatic compliance avoidance and structural closure generation of the slope model.

The embodiment of the invention provides a visual analysis method for diagnosis and optimization of an urban drainage system and related equipment, and belongs to the technical field of smart city and data visualization. According to the method, a closed-loop analysis framework formed by collaboration of a map view, an analysis view and a comparison view is constructed. The map view integrates a hydrological and hydraulic model simulation result, visualizes a drainage system state and supports interactive modification; the analysis view is used for extracting a key drainage subsystem based on rules, and performing causal visualization by adopting an optimized mulberry-based graph integrated with terrain elevation information, so that overflow causes are accurately positioned; a comparison view is visualized through a parallel histogram and version inheritance relation, and multi-scheme comparison and iterative optimization management are supported. According to the method, the problems of difficulty in causal analysis, poor interpretability and lack of iterative optimization support in the prior art are solved, the whole-process integrated support from problem identification and diagnosis to optimization verification is realized, and the analysis efficiency and decision scientificity of the urban drainage system are remarkably improved.

This invention provides a method and system for a legged robot to traverse terrain, relating to the field of robot control technology. The method includes: acquiring multi-source sensor data of the legged robot; performing prediction and rolling inference based on the multi-source sensor data to obtain the predicted terrain elevation and terrain traversability of the legged robot at a preset future time step, as well as the robot's body state, foot contact sequence, slip risk sequence, and ground interaction parameters at the preset future time step; and using the above parameters to generate a local terrain representation and uncertainty of the legged robot within a preset foot region; generating joint control commands for the legged robot based on the local terrain representation and uncertainty of the preset foot region, and driving the legged robot to walk according to the joint control commands. This invention improves the reliability of legged robots in visually limited scenarios.

The invention relates to the technical field of civil engineering, and discloses a CAD earthwork calculation and land use automatic optimization method and system, and the method comprises the following steps: S1, data input: reading CAD graphic data and configuration parameters, verifying the closeness, validity and legality of the data, and storing the data in a database; the CAD graphic data comprises land use range boundaries, terrain elevation points and road center lines; s2, performing dual-mode adaptive earthwork calculation: counting the number N of elevation points, calculating a land area A and an elevation standard deviation sigma, determining an adaptive threshold Nthreshold = f (A, N, sigma, alpha), adaptively selecting a calculation algorithm according to the relationship between N and Nthreshold, and outputting an excavation amount, a filling amount and a clear soil amount. The CAD earthwork calculation and land use automatic optimization method and system have the advantages of integrating earthwork calculation, slope calculation, land use optimization and cost calculation, and being simple in operation, low in learning cost, high in calculation precision, high in efficiency and the like.

The invention discloses a digital elevation three-dimensional terrain enhancement method and device. The method comprises the following steps: acquiring digital elevation model data; performing feature extraction on the digital elevation model data to obtain terrain elevation features; generating multi-scale noise according to the terrain elevation features; wherein the multi-scale noise is composed of a plurality of noises in different frequency intervals; performing fusion processing on the multi-scale noise to generate a terrain elevation result; and rendering the terrain elevation result, and constructing a digital elevation three-dimensional terrain. According to the technical scheme, terrain detail enhancement can be efficiently, safely and stably carried out at low cost, and the visual performance effect of the digital elevation three-dimensional terrain is remarkably improved.

The invention discloses a cadastral surveying and mapping optimization method and system based on low-altitude remote sensing, and relates to the technical field of surveying and mapping optimization, and the method comprises the steps: collecting the satellite image data of a target measurement area, and recognizing the building density distribution, the vegetation coverage density distribution and the terrain height difference change rate; carrying out unmanned aerial vehicle type and sensor type selection in a preset resource library, and then executing flight path planning based on the flight height, the course overlapping ratio and the lateral overlapping ratio; controlling the unmanned aerial vehicle to fly, collecting a low-altitude remote sensing data set and establishing a live-action three- And calling the cadastral mapping knowledge domain to perform reasoning, verification and conflict detection, and generating a target cadastral map. The technical problems of low cadastral element recognition accuracy and reliability and low cadastral surveying and mapping operation efficiency caused by difficulty in accurate data acquisition in a load environment in cadastral surveying and mapping operation in the prior art are solved. The technical effects of improving the cadastral surveying and mapping operation efficiency and enhancing the accuracy and reliability of cadastral element recognition in a complex environment are achieved.

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 relates to the technical field of rainwater runoff simulation, and discloses a rainwater runoff dynamic simulation method based on BIM-GIS coupling. The method plans a simulation process based on input parameters and environmental conditions, determines required BIM data (containing building geometric data) and GIS data (containing terrain elevation data), and determines different scene types. Then, a dynamic simulation process set is generated, the execution sequence is determined, the coupling parameter setting list and the data fusion scheme list of each scene are generated, and finally, the overall scheme is generated by associating each element. In addition, the method also relates to dynamic simulation boundary determination, data subset extraction, scene type subdivision, simulation process updating, data fusion rules, database establishment and maintenance and the like. The method combines the advantages of BIM and GIS technologies, can adapt to different scenes, realizes dynamic data updating and efficient processing, improves the accuracy and reliability of rainwater runoff dynamic simulation, and can be used in the field of urban rainwater management.

The utility model discloses a portable panel satellite communication antenna, and relates to the field of communication antennas. The device comprises a communication antenna, the communication antenna comprises a base, the bottom of the base is provided with a supporting mechanism, and the device is provided with the supporting mechanism, a rotating seat, a damping rotating shaft, a supporting block, a threaded sleeve rod, a threaded rod and a soil drilling head. The angle and the position of the supporting block or the threaded sleeve rod can be flexibly adjusted through the arrangement of the rotating seat and the damping rotating shaft so as to adapt to different use scenes and requirements, and the soil drilling head can smoothly drill into the ground through the cooperation of the rotating seat and the damping rotating shaft in the outdoor environment when the ground may be uneven or has a gradient. A stable supporting point is provided for the antenna; and the design of the threaded sleeve rod and the threaded rod allows the length to be adjusted according to the height of the terrain to ensure that the antenna is always flat, thereby enhancing the stability of the antenna and ensuring that the antenna can firmly stand in the outdoor environment.

An electronic device (10) for storing a terrain database (15) for an avionics system (20) is on board of an aircraft (5). The terrain database (15) corresponds to a terrestrial area possibly flown over by the aircraft (5), this area being represented in the form of a surface area divided into a grid of cells, each cell corresponding to a section of the terrestrial area, the terrain database (15) having a first resolution and comprising first terrain elevation values each associated with a corresponding cell. The terrain database (15) further comprises, for each cell, an uncertainty value associated with the corresponding first elevation value, at least one uncertainty value being computed from a plurality of second terrain elevation values associated with the cell and derived from a second terrain database (35) having a second resolution higher than the first resolution.

This invention discloses an atmospheric error correction method and system for wide-area synthetic aperture radar interferometry, relating to the field of synthetic aperture radar technology. The method includes: acquiring unwrapped differential interferograms generated from multiple SAR images; establishing and applying a first mathematical model based on the phase values ​​of each pixel in the differential interferogram and the corresponding terrain elevation values ​​to remove terrain-related vertically layered atmospheric phases, obtaining a first intermediate result; applying a spatiotemporal joint filter to the first intermediate result to separate and remove random atmospheric phases caused by atmospheric turbulence, obtaining a second intermediate result; and establishing and applying a second mathematical model to the second intermediate result for fitting correction to remove residual systematic error phases, obtaining the atmospherically corrected phase. Through the technical solution of this invention, the accuracy, spatial consistency, and temporal stability of the atmospherically corrected phase are improved, enhancing the reliability of subsequent deformation monitoring results.

This application belongs to the field of power system disaster prevention technology, and provides a method, device, electronic equipment, and storage medium for predicting icing areas. The method includes: acquiring atmospheric reanalysis datasets, site observation datasets, and terrain elevation datasets; preprocessing and filtering icing elements in the above data to obtain data based on freezing rain and climate fusion datasets, terrain feature tensors, and icing element data; inputting the obtained data into a pre-trained terrain adaptive convolutional network Monte Carlo random deactivation model, outputting the average probability of freezing rain and the standard deviation of uncertainty; inputting the average probability of freezing rain, the standard deviation of uncertainty, 10-meter high wind speed, wet-bulb temperature, supercooled precipitation, preset time step, icing density, and conductor equivalent radius into a Makkonen calibration model, outputting the predicted icing thickness; determining the predicted icing area based on a preset region, the predicted icing thickness, and preset conditions; thus improving the prediction accuracy of icing thickness and icing area.

The invention discloses a remote sensing surveying and mapping data processing method and a remote sensing surveying and mapping data processing system, which relate to the technical field of remote sensing surveying and mapping, and realize pixel-level gray scale reconstruction control under the effect of multiple interference superposition by extracting and processing a remote sensing image sequence IMGSEQ and a time sequence TIMESEQ, establishing a time drift feature vector VTD and calculating a combined correction matrix CCM. The method comprises the following steps of: obtaining a correction image sequence IMGCOR, outputting the correction image sequence IMGCOR, and finally evaluating the spectral stability of the correction image sequence IMGCOR and the original remote sensing image sequence IMGSEQ by calculating a consistency index SIM, so that the consistency improvement degree of the image on the time sequence can be quantified, and the accuracy of the image correction is improved. Compared with the prior art in which a fixed value correction or linear regression mode is usually adopted to ignore time drift and observation environment coupling interference, the method can adapt to gray shift caused by cloud layer shielding, illumination angle change or terrain height difference in the remote sensing image, and can accurately identify spectrum abnormity of a local area at a specific moment.

The application discloses a global natural scene bidirectional precise positioning method and device fusing visual physical model constraints, electronic equipment and storage medium, the method comprises the following steps: acquiring a pan-tilt camera panoramic image and a corresponding remote sensing image; cross-modal feature matching is performed to obtain an initial matching point set of associated observation angles and geographic coordinates; an initial white box physical model under a unified world coordinate system is constructed and the model is trained; a two-stage training mechanism is adopted, and the model is alternately optimized through a regional matching point filtering algorithm; the final matching point subset is fine-tuned in height disturbance, and the target positioning model is obtained by fine-tuning the model; and a static mapping file is generated based on the target positioning model to realize bidirectional positioning. Under the condition that the camera device has low precision installation and the terrain elevation data is inaccurate, the application can construct a high-precision bidirectional positioning model without manual height measurement, greatly reduce the calibration cost, and realize full-automatic positioning in a full-natural complex environment.

The invention relates to an intelligent automatic building construction drawing generation method and device, equipment and a medium. The method comprises the following steps: acquiring grid coordinate data, terrain elevation data and sunlight characteristic data of a planning area; the sunlight characteristic data comprises solar azimuth data, solar altitude data and solar radiation intensity data; the grid coordinate data comprises coordinate data of grid points in the planning area; calculating a sunlight thermodynamic diagram of the planning area based on the grid coordinate data, the terrain elevation data and the sunlight characteristic data; the sunlight thermodynamic diagram is used for representing sunlight intensity distribution of a planning area; on the basis of the sunshine thermodynamic diagram and the grid coordinate data, calculating structural parameters of a building located in the planning area, and generating a building construction drawing on the basis of the structural parameters; the structure parameters at least comprise building optimal orientation parameters and building optimal windowing size parameters. By adopting the method, the building design efficiency can be improved.