41 results about "Terrain modeling" patented technology

The invention relates to the technical field of three-dimensional modeling, in particular to a terrain modeling method and device based on a domestic three-dimensional graphic platform Railworks, and the method comprises the steps: collecting terrain data along a rail transit engineering project, and generating a structured original data pool; the method comprises the following steps: extracting and processing a discrete three-dimensional point set through a Railworks platform, and generating a triangular mesh by adopting a Gift Wrapping algorithm and a Delaunay triangulation algorithm; reconstructing a three-dimensional terrain surface model, adding an attribute database, and integrating elevation and gradient attributes according to industrial standards; and a downstream bridge and roadbed design module is connected through a data synchronization mechanism, so that design parameters are automatically updated. The device correspondingly realizes functions of each step. According to the method, the problems of high data security risk and low collaboration efficiency caused by dependence on foreign software are solved, an autonomous solution is provided, and the data processing security and the cross-professional design collaboration efficiency are improved.

The invention discloses a DEM map dynamic obstacle avoidance path planning method and system based on a rime algorithm, DEM terrain modeling, rime algorithm meteorological prediction and an improved A * path planning algorithm are combined, safe path planning in a dynamic environment is achieved, the method and system can be applied to unmanned aerial vehicle inspection (such as power line icing monitoring), mountain rescue, automatic driving and other scenes, and the method and system have good application prospects. The problems that a traditional A * algorithm is limited, multi-constraint fusion is difficult, pure real-time meteorological data lags behind and the like are solved, and a safer and more reliable path planning navigation scheme is formed.

This invention discloses a method for scheduling unmanned vehicle swarms to maximize smokescreen coverage considering terrain constraints, belonging to the field of unmanned vehicle swarm scheduling technology. The method includes collecting raw terrain data of the task area and preprocessing it to obtain a standardized terrain dataset. This standardized terrain dataset is then input into an IMUNet network to achieve accurate terrain modeling of the task area and extract terrain constraints for unmanned vehicle operation. A smokescreen coverage model under terrain constraints is constructed based on these constraints. The total effective smokescreen coverage area of ​​the unmanned vehicles under different parameters is calculated. Using the total effective smokescreen coverage area as the optimization objective and the terrain constraints as the constraints, the QSMODE algorithm is used to solve the unmanned vehicle swarm scheduling optimization model to obtain the optimal unmanned vehicle swarm scheduling scheme. This invention improves the adaptability and robustness of the scheduling method, accurately handles complex terrain scenarios, and ensures maximum smokescreen coverage of the task area.

This invention provides a method and system for constructing a negative obstacle risk map, relating to the field of robot environmental perception technology. The method includes: acquiring multimodal sensing data of a legged robot in the current operating environment to obtain the types of negative obstacles, multiple candidate regions, and the corresponding confidence and uncertainty of each candidate region; using a risk diffusion algorithm, performing ink blurring processing based on the type, confidence, and uncertainty to generate a continuous risk field corresponding to each candidate region; dividing the continuous risk field to generate a continuous risk gradient distribution corresponding to each candidate region; performing terrain modeling based on laser point clouds, updating the continuous risk gradient distribution using Bayesian fusion to obtain a multi-level grid map, and then performing tactile closed-loop correction on the multi-level grid map to generate a risk cost map. This invention improves the accuracy of constructing a negative obstacle risk map.

The application discloses a photovoltaic station unmanned aerial vehicle three-dimensional route planning method and system based on field of view angle self-adaption and terrain modeling. The method comprises the following steps: acquiring photovoltaic panel geographic position information; determining a vertical field of view angle according to an unmanned aerial vehicle image device parameter; generating a reference point based on the geographic position information, performing horizontal clustering by using a density clustering algorithm to form an initial row grouping, and then completing row and column grouping by linear fitting completion and correction of row structure; dynamically determining a flight height for each flight point by a geometric model calculation based on the grouping result, a vertical field of view angle and a pitch angle, and generating a three-dimensional flight point; determining a flight point connection sequence based on a distance optimization principle, detecting an optimized acute angle turning, and generating a smooth three-dimensional flight path. The application realizes full-automatic three-dimensional planning of a photovoltaic inspection route, can adapt to complex terrains, guarantees shooting quality and improves inspection efficiency.

This invention discloses a three-dimensional terrain construction method based on multimodal semantic constraints, belonging to the field of three-dimensional terrain modeling technology. This method acquires optical remote sensing images and digital surface models and constructs unified spatial reference data. Guided by multimodal semantic constraints, it performs joint semantic parsing of ground features to generate a set of semantic masks with structural consistency. Furthermore, based on the mapping relationship between semantic categories and surface physical attributes, it performs regional geometric reconstruction of the digital surface model to form three-dimensional terrain entities that conform to the spatial expression characteristics of ground features. Simultaneously, by parsing engineering cost documents and extracting spatially oriented engineering cost data, under spatial and semantic consistency constraints, it associates and maps engineering cost information with three-dimensional terrain entities, ultimately forming a three-dimensional terrain data result that integrates terrain geometric information and engineering economic attributes.

The application discloses a three-dimensional terrain modeling analysis and adaptive navigation system and method, and relates to the technical field of navigation.The laser radar is used for acquiring point cloud data of the region where the device to be navigated is located in real time; the IMU is used for measuring the acceleration and angular velocity of the device to be navigated in real time; the data fusion sub-module is used for pre-processing the point cloud data, acceleration and angular velocity in real time, and fusing the pre-processed data; the three-dimensional map modeling sub-module is used for constructing a three-dimensional map model according to the point cloud data in real time by using a SLAM algorithm; the three-dimensional terrain analysis module is used for determining the terrain features of each point in the three-dimensional map model in real time; and the adaptive navigation module is used for planning a path for the device to be navigated according to the three-dimensional map model and the terrain features of each point, so that navigation is realized.The application can improve the precision of original data, and then improve the positioning precision, and realize accurate navigation.

The embodiment of the application discloses a CAD-based three-dimensional terrain geological model modeling method, device and medium, relates to the CAD modeling technical field, and is used for solving the problem of low reliability of the existing three-dimensional modeling mode. The method comprises the following steps: acquiring multi-source heterogeneous data corresponding to a current modeling type for preprocessing to obtain a discrete point set; if it is determined that the current modeling type is a terrain modeling type, performing dimension reduction and profile division on the discrete point set to obtain a triangular facet, and performing dimension increase on a two-dimensional discrete point set corresponding to the triangular facet to obtain a three-dimensional terrain grid model; if it is determined that the current modeling type is a geological modeling type, performing dimension reduction and analysis on the discrete point set to generate a stratigraphic interface; processing the discrete point set through a preset strategy to obtain a geological matrix model, and performing stratigraphic segmentation on the geological matrix model according to the stratigraphic interface to obtain a three-dimensional geological model; and transmitting modeling data corresponding to the obtained model to a browser for rendering and display based on an application server.

The application relates to a photovoltaic pile driver terrain identification method and system, a terminal and a storage medium, and relates to the technical field of intelligent equipment. The application comprises the following steps: analyzing camera pixel data, laser radar data, a camera internal parameter matrix, a camera radar external parameter matrix and a radar satellite external parameter matrix to determine pixel camera data, radar world data and camera world data; fusing the radar world data and the camera world data to determine simultaneous space fusion data and coordinate point gray values; analyzing the coordinate point gray values and the simultaneous space fusion data to determine spatial terrain features and pile driving terrain classification; and analyzing the radar world data, the camera world data, the spatial terrain features and the pile driving terrain classification to determine real-time terrain modeling. The application has the effects of improving the photovoltaic pile driving terrain identification accuracy and terrain updating efficiency.

The invention belongs to the technical field of underwater terrain modeling, and particularly relates to an underwater terrain intelligent modeling method and device based on a river terrain key structure. According to the method, the river center line recognition model is constructed through transfer learning, automatic recognition of the complex river form is achieved, the problem that the center line of a bifurcated and curved river reach is difficult to extract is effectively solved, a section measurement scheme is designed based on the length and curvature of the river channel, key coverage of sparse water depth measurement points on the river channel form is achieved, and the measurement cost is reduced. Meanwhile, the precision of underwater terrain modeling is guaranteed, section sideline points, thalweg points and slope change points are automatically recognized through a convolutional neural network model, the manual marking workload is reduced, the section feature point extraction efficiency and accuracy are improved, and the generated riverbed height meets measurement data and also meets the requirement of the riverbed height through a center line curvature constraint interpolation method and a curve smooth interpolation method. The river form continuity is kept, and sharp turning or abnormal areas are avoided.

The embodiment of the invention discloses an air seeding afforestation precise seeding design method and system based on LiDAR three-dimensional terrain modeling. The method comprises the steps that plot-level multi-source environment data is acquired; cleaning, aligning and fusing the plot-level multi-source environment data to obtain a multi-dimensional feature data set; determining a static ecological suitability score of the target tree species in the corresponding plot based on a geographic ecological interactive prior rule related to the target tree species in the knowledge graph and the static geographic ecological features of the plot in the multi-dimensional feature data set; based on the physiological parameters of the target tree species in the knowledge graph and the day-by-day dynamic features and static geographical ecological features of the plots in the multi-dimensional feature data set, predicting a day-by-day hydrothermal stress index sequence of the corresponding plots in the critical germination period of the target tree species in the future preset duration through a time-space diagram neural network; and generating a seeding decision scheme based on a decision rule in the knowledge graph, the static ecological suitability score of the target tree species in the land parcel and the day-by-day hydrothermal stress index sequence.

This invention discloses a BIM-based method for adaptive terrain modeling of outdoor pipelines, comprising: creating an initial pipeline model; extracting terrain elevation point data and setting the terrain elevation point data into a grid with coordinate identifiers to form multiple terrain grid cells; obtaining the spatial coordinates of each pipeline segment node in the initial pipeline model and determining the corresponding terrain grid cell based on the spatial coordinates; calculating the projected elevation of each pipeline segment node on the terrain based on the terrain elevation point data in the terrain grid cell; adjusting the elevation of the projected elevation of the pipeline segment nodes based on the pipeline burial depth to obtain the adjusted pipeline node elevation; updating the initial pipeline model parameters based on the adjusted pipeline node elevation to generate a pipeline BIM model adaptively matched to the terrain. This invention can achieve fitting of the pipeline model with the terrain, reduce on-site excavation, and improve construction efficiency.

The invention provides a photovoltaic generating capacity prediction method based on illumination simulation, and the method comprises the steps: sequentially completing the data acquisition and standardization, terrain modeling, sun position and direct radiation calculation, point-by-point illumination simulation to obtain shielding and scattering, total radiation aggregation and coupling plate inclination angle correction, and finally predicting the generating capacity in combination with a conversion efficiency parameter. And high-precision photovoltaic output prediction under a complex terrain is realized. According to the invention, the precision and reliability of photovoltaic power generation prediction can be improved, and powerful technical support is provided for planning, operation and scheduling of a photovoltaic power station.

The present disclosure generally relates to systems and methods for determining the available storage capacity of an enclosed space using radar-based digital terrain modeling. At a high-level, embodiments of the present disclosure may determine the available storage capacity of a certain space by using one or more radars to transmit one or more radio-frequency signals through the space and receive various reflections or echoes of those signals. These received echoes may be processed to determine—for a grid dividing the overall space into a series of right rectangular prisms stacked into columns—the highest (i.e., closest to the ceiling of the space) right rectangular prism (RRP) in each column that is at least partially occupied by a physical object. For each column, the highest RRP and any RRPs below it may be marked as occupied and any RRPs above the highest RRP may be marked as unoccupied.

The invention relates to the technical field of three-dimensional terrain modeling, and provides a reconstruction method, device and equipment of a three-dimensional terrain model, a medium and a product. The reconstruction method of the three-dimensional terrain model comprises the following steps: firstly, acquiring a height image representing the height of a target three-dimensional terrain model; then, a corresponding target point cloud is created based on the height image, and the height value of a space point in the point cloud corresponds to the height of the terrain; further, updating operation is carried out on the spatial points in the target point cloud, and the updating operation is completed by utilizing the height values of other spatial points in the neighborhood range of each spatial point; and finally, reconstructing a target three-dimensional terrain model by using the updated target point cloud. According to the invention, the problems of surface flaws and unsmoothness during three-dimensional terrain reconstruction in the prior art are solved.

In order to solve the problems of information fragmentation, low efficiency, and poor adaptability of shallow analysis of the traditional segmented search and rescue process, the present application provides a kind of unmanned aerial vehicle closed loop intelligent cooperative search and rescue method and device, the method realizes efficient data acquisition through adaptive multispectral acquisition driven by task, uses lightweight AI to analyze high-altitude multispectral data in real time, autonomously discovers potential targets and triggers close investigation;Based on the spectral-space feature deep fusion network, the multi-source features are fused through the multi-level cross-channel attention fusion module, and the weak targets that are difficult to detect by a single sensor are accurately identified;Combined with multi-dimensional dynamic risk perception and three-dimensional terrain modeling, the environmental risk is quantified in real time and superimposed on the digital surface model, and a multi-mode rescue path is generated that takes into account safety and efficiency.The present application designs an unmanned aerial vehicle intelligent search and rescue mode based on the "perception-decision-action-learning" closed loop, which significantly improves the target recognition accuracy, response speed and dynamic risk response capability in complex environment.

The invention relates to the technical field of point cloud data processing, and discloses a point cloud denoising method and system for an unstructured scene of engineering machinery, and the method comprises the steps: collecting original point cloud data of the unstructured scene of the engineering machinery, carrying out the preprocessing of the original point cloud data, and obtaining the preprocessed point cloud data; based on the function association features of the preprocessed point cloud data, performing functional region division on the scene, and dividing a functional region into a driving region, a driving boundary region and an operation region; dynamically generating a denoising threshold value to which each functional region belongs based on terrain fluctuation characteristics of the divided different functional regions; fusing the denoising threshold value, the elevation continuity and the reflection intensity of each functional area, screening out useful terrain points and engineering machinery equipment points, retaining the screened useful terrain points, and rejecting the engineering machinery equipment points to obtain a screened point cloud; and performing connectivity optimization and reverse verification on the screened point clouds, and outputting final de-noised point clouds. According to the method, the precision of point cloud terrain modeling can be improved, and reliable data support is provided for intelligentization of engineering machinery.

In order to solve the problems of information splitting, low efficiency and poor shallow analysis adaptability of the traditional sectional search and rescue process, the invention provides an unmanned aerial vehicle closed-loop intelligent cooperative search and rescue method and device, the method realizes efficient data acquisition through task-driven adaptive multispectral acquisition, and utilizes lightweight AI to analyze high-altitude multispectral data in real time, so that the search and rescue efficiency is improved. Potential targets are found autonomously, and approaching detailed investigation is triggered; based on a spectrum-space feature deep fusion network, multi-source features are fused through a multi-level cross-channel attention fusion module, and a weak target which is difficult to detect by a single sensor is accurately identified; in combination with multi-dimensional dynamic risk perception and three-dimensional terrain modeling, environmental risks are quantified in real time and superposed to a digital surface model, and a multi-mode rescue path considering both safety and efficiency is generated. According to the invention, a closed-loop unmanned aerial vehicle intelligent search and rescue mode based on perception-decision-action-learning is designed, and the target identification precision, the response speed and the dynamic risk response capability in a complex environment are significantly improved.

The invention discloses a GIS-based photovoltaic power station intelligent arrangement design method and system, and relates to the technical field of photovoltaic power station design. The method comprises the following steps of mountain terrain initial modeling, mountain terrain shadow photovoltaic arrangement optimization and photovoltaic arrangement design scheme recommendation output. Geographic information data of a to-be-arranged mountain area is acquired based on a GIS to perform terrain modeling, and the to-be-arranged mountain area is divided to obtain photovoltaic design areas so as to preliminarily generate a photovoltaic arrangement design scheme. Then, surface shielding shadow continuity analysis is carried out on each photovoltaic design area in a shadow analysis period to determine adopted photovoltaic power station arrangement design optimization, and finally, the photovoltaic power station arrangement design schemes and the scheme recommendation priorities are synchronously output to a manual terminal, so that the generation efficiency of the photovoltaic power station arrangement design schemes is improved. The problems that in the prior art, due to mountain terrain shadow overlapping, photovoltaic power station arrangement is inaccurate, and the power generation efficiency is reduced are solved.

The application belongs to the technical field of radio wave propagation, and specifically discloses a complex path ASF prediction method based on parameter optimization three-dimensional FDTD, which is aimed at the problem of ASF prediction error caused by the neglect of the lateral diffraction effect in the two-dimensional method, and the problem of poor precision caused by the cumulative phase error when the traditional three-dimensional FDTD method is applied to large-area ASF prediction, and the electromagnetic propagation characteristics of complex irregular terrain are accurately presented by means of three-dimensional terrain modeling, so as to significantly improve the accuracy of the complex path ASF prediction result. In addition, the complex path ASF prediction method based on parameter optimization three-dimensional FDTD introduced by the application also reduces the phase cumulative error by introducing dispersion optimization parameters, so as to improve the calculation efficiency while ensuring the precision. The method of the application can provide an efficient solution for ASF prediction in a large-scale complex terrain scene, and is more suitable for popularization and application in engineering.

The application discloses a kind of double-layer Monte Carlo optimization satellite photogrammetry terrain modeling methods, it is related to remote sensing and photogrammetry technical field, first, satellite laser height measurement data of study area is collected, and original data is filtered, and the stereo image of study area is obtained to carry out preliminary control point layout and aerial triangulation encryption;Second, the first layer Monte Carlo sampling system is constructed, and high confidence sample points are screened;Third, the second layer Monte Carlo offset experiment is established, and the multi-direction disturbance experiment is generated by analyzing the geometric response relationship between laser points and stereo images Multiple sets of random offset samples;Finally, the optimal offset parameter is determined by error response analysis, and the final high-precision digital elevation model is output;The method makes full use of laser point reference, combined with Monte Carlo optimization and spatial offset sensitivity analysis, realizes the high-precision, robust construction of DEM, and significantly improves the reliability and precision of digital elevation model.

This invention provides a geological disaster monitoring method and system based on UAV vision and target collaboration, belonging to the field of disaster monitoring technology. The method includes: acquiring geological images at different times; performing terrain modeling based on the geological images and target locations to obtain a digital surface model; identifying vegetated and bare areas based on the geological images; constructing a Delaunay triangulation based on targets in the vegetated areas to calculate vegetation displacement; calculating bare land displacement based on the digital surface model; fusing vegetation and bare land displacements using thin-plate spline functions to obtain global displacement information; detecting cracks using an improved Canny-Zernike operator based on the digital surface model and identifying crack skeleton lines using a morphological thinning algorithm; and modeling displacement gradient tensors based on crack skeleton lines and global displacement information to construct a crack opening distribution map and obtain monitoring results. This invention creatively combines physical noise reduction, intelligent fusion, and precise analysis to achieve high-precision positioning in harsh environments.

This invention belongs to the field of terrain modeling technology and discloses a method for suppressing boundary effects in TIN (Terrain Injection) based on periodic cubic splines for simulating ground points. This invention generates high-quality boundary simulation ground points during the initial TIN construction stage by adaptively expanding and smoothing the data boundary, thereby significantly improving the geometry of the TIN. Smoothing complex boundaries using periodic cubic splines effectively fits corridor-shaped and irregular data forms. It avoids generating long and narrow degenerate boundary triangles, significantly improving the geometric quality and stability of the initial TIN. The local orientation estimation based on SVD is insensitive to noise and is applicable to various complex scenarios. It improves the accuracy of ground point discrimination, reduces error accumulation, and enhances the reliability of the final terrain modeling results.

The present application relates to the technical field of three-dimensional data processing, and discloses a three-dimensional terrain modeling method based on surveying and mapping data, comprising the following steps: step one, obtaining multi-source heterogeneous surveying and mapping point cloud data of a region to be modeled, unifying the multi-source heterogeneous surveying and mapping point cloud data to a preset geographic coordinate system, and performing elevation normalization processing on underwater data by using synchronous tidal level data; step two, identifying homonymous feature elements of the processed multi-source heterogeneous surveying and mapping point cloud data in an overlapping area, calculating the vertical offset parameters between each load by using a least square adjustment algorithm, and performing elevation compensation on the multi-source heterogeneous surveying and mapping point cloud data by using the vertical offset parameters. The three-dimensional terrain modeling method adopts the overlapping area homonymous feature element matching and vertical offset parameter calculation technology, eliminates the systematic elevation difference of multi-source surveying and mapping data, achieves the unification of water and land benchmarks, realizes seamless smooth splicing of the terrain of the boundary area, and solves the problem of false steep cliffs and geometric misplacement at the water-land junction caused by traditional modeling.

The invention relates to the technical field of elevation measurement, in particular to a digital elevation model production method based on multi-source laser point clouds, which comprises the following steps of: collecting a point cloud extraction position and intensity comparison mutation region, selecting a height difference jump zone to extract a distribution result, and extracting a point zone distinguishing semantic replacement positioning path mutation paragraph to extract an edge range graph; an echo track is read, a drift trend is analyzed, a sudden change area is corrected, a boundary distribution diagram is obtained, change extension routing tracking arrangement point columns are extracted, extension point chains are connected with net surface pulling connection gaps, extension is completed, and an elevation diagram is obtained. According to the invention, through multi-platform laser scanning acquisition and space division, elevation mutation region identification and key region screening analysis, and through multi-band echo path comparison, drift correction is carried out, stable and mutation regions are distinguished, continuous point columns are extracted to keep path coherence, discontinuity and distortion are avoided, and complex terrain modeling integrity is logically improved. The topographic features and dynamic changes are better reflected, and the problem of data insufficiency of a traditional method is solved.

The present application relates to the field of computer navigation positioning, and particularly relates to a battlefield environment dynamic updating terrain matching type high-precision positioning system, which comprises a multi-source battlefield environment perception module, a dynamic terrain modeling module, a candidate area generation module, a terrain matching evaluation module, a positioning fusion calculation module and a positioning credibility evaluation output module; the present application introduces a structured terrain particle representation and a constraint-driven voxel space discretization method, constructs a dynamic and updatable three-dimensional battlefield terrain model based on high-trust observation data, realizes continuous updating of the terrain model with changes in the battlefield environment, and improves the consistency of the terrain model with the actual environment; in the terrain matching evaluation process, the candidate area and the dynamic terrain model are jointly matched and scored in combination with a multi-modal observation constraint and a terrain feature consistency evaluation mechanism, the risk of false matching caused by single feature matching is reduced, and the accuracy of terrain matching, the stability of positioning results and the positioning credibility are significantly improved.

The present application is suitable for the technical field of image processing, and provides a three-dimensional terrain modeling method, device and equipment and storage medium, the method comprising: acquiring a prompt word, inputting the prompt word into a trained terrain map generation model to obtain a target three-dimensional terrain digital elevation map, wherein the terrain map generation model comprises a diffusion model and a quantization decoder connected in sequence, the quantization decoder is used for decoding the RGB image output by the diffusion model into the target three-dimensional terrain digital elevation map, and a target three-dimensional terrain map is generated according to the target three-dimensional terrain digital elevation map, so that three-dimensional terrain modeling can be adaptively performed by acquiring the prompt word, and the present application is simple to use and only needs to input ordinary natural language.

This invention discloses a three-dimensional inversion method and system for airborne radiometric spectrum data, aiming to improve the accuracy of three-dimensional airborne gamma-ray spectrum data inversion methods under UAV platforms. The method first acquires airborne radiometric spectrum data from various measuring points within the inversion area using airborne detection equipment to construct an observation data vector. Then, an irregular triangular mesh is used to discretize the inversion area for three-dimensional terrain modeling. Next, a rock property model constraint function based on the principle of dissimilarity is introduced into the inversion objective function. Finally, the model parameter vector is output through iterative inversion calculations to obtain the distribution of radionuclides in the inversion area. This invention develops a three-dimensional inversion technology for airborne radiometric spectrum data based on rock property constraints of dissimilarity. By using a constraint function with multi-peak characteristics, a one-to-one correspondence between rock properties and extreme points is achieved, ensuring the principle of dissimilarity. Ultimately, this effectively reduces the problem of multiple solutions in the interpretation of airborne spectrum data inversion, improving the accuracy and effectiveness of interpretation.

The invention is suitable for the technical field of image processing, and provides a three-dimensional terrain modeling method, device and equipment and a storage medium, and the method comprises the steps: obtaining cue words, inputting the cue words into a trained topographic map generation model, and obtaining a target three-dimensional terrain digital elevation map, the topographic map generation model comprises a diffusion model and a quantization decoder which are connected in sequence, the quantization decoder is used for decoding the RGB image output by the diffusion model into a target three-dimensional topographic digital elevation map, and a target three-dimensional topographic map is generated according to the target three-dimensional topographic digital elevation map, so that three-dimensional topographic modeling can be adaptively carried out by obtaining cue words, and the three-dimensional topographic map generation efficiency is improved. And the scheme is simple to use, and only common natural languages need to be input.

The invention provides a prefabricated cabin site layout system and method and electronic equipment. The prefabricated cabin site layout system comprises a data management module, a project management module, a prefabricated cabin layout module and a result display module. The data management module is used for managing a standard policy library, a prefabricated cabin parameter library and a terrain element library; the project management module is used for managing and controlling the whole life cycle of a prefabricated cabin site layout project; the prefabricated cabin layout module is used for calling a standard policy library and / or a prefabricated cabin parameter library and / or a terrain element library to carry out terrain modeling and rule configuration after project information is created, and carrying out cabin space layout on the prefabricated cabin, and the result display module is used for displaying a result after layout of the prefabricated cabin layout module. By constructing a'data management-project management-project arrangement-result display 'whole-process modular closed-loop architecture, the problems of link splitting and data islanding in the traditional design are solved.