92 results about "Building modeling" patented technology

The invention provides a cloud collaborative three-dimensional building modeling rendering method and system based on WebGL (Web Graphics Library). The method comprises the following steps: acquiring design parameters of a target building, analyzing the design parameters into geometric topological data of a plurality of independent components on the basis of a functional attribute division rule, and generating a multi-stage detail geometric model; adding material physical attributes to the surface vertex data, calculating a diffuse reflection coefficient and specular reflection intensity through a ray tracing algorithm, and generating lightweight component data carrying physical rendering parameters; in response to a view angle switching instruction of a terminal user, according to a space block corresponding to a current view angle, a main GPU node is distributed from a distributed GPU cluster, the main GPU node is divided according to the space block, adjacent blocks of the space block are distributed to edge GPU nodes, parallel ray tracing calculation is executed based on a WebGL protocol, and the parallel ray tracing calculation is executed based on the WebGL protocol. And returning to the main GPU node synthesis terminal display image and displaying. According to the technical scheme provided by the invention, the response speed is remarkably improved while the physical-level rendering effect is kept.

The invention discloses an automatic building energy consumption modeling method based on a large language model, and the method comprises the steps: obtaining a natural language demand description inputted by a user side, and carrying out the domain semantic analysis of the demand description based on a natural language model, and extracting a modeling parameter; the demand description comprises architectural space attributes; the modeling parameters are input into a building large language model, and a standardized modeling instruction set meeting the grammar specification of the target building energy consumption simulation engine is generated; wherein the building large language model is obtained by finely adjusting a pre-trained large language model through a professional question and answer corpus in the building field; an interface of the target building energy consumption simulation engine is called, a simulation instruction is generated, and the simulation instruction is used for indicating the target building energy consumption simulation engine to output a simulation result based on the standardized modeling instruction set; the simulation result comprises the building model file and a key index of the building model file. By adopting the method, the automation degree of building modeling can be improved, manual intervention is reduced, and the modeling threshold is lowered.

The invention belongs to the technical field of building three-dimensional modeling, and particularly relates to a building model construction method based on unmanned aerial vehicle low-altitude image dense matching point clouds, and the method comprises the steps: taking the original point cloud data of a building as the input, carrying out the classification according to the geometric features of a solid building, and obtaining the point cloud data representing each plane of the building; and complementing the missing plane structure to establish a candidate plane set. And classifying the candidate plane set according to the affiliation relationship of the single building to obtain point cloud data representing the single building so as to realize building modeling. In the modeling process, a point cloud representing a single building is divided into a roof and a wall, the top of the wall and the bottom of the roof are complemented, modeling of the wall with the complemented top is achieved through a Manhattan model, and modeling of the roof with the complemented bottom is achieved through an intersection plane selection method. And splicing the building wall body model and the roof model to obtain a model of a single building with an inclined roof. In conclusion, the building model construction method improves the expression precision and accuracy.

The invention provides a building modeling method and device, equipment and a storage medium, and relates to the technical field of modeling, and the method comprises the steps: obtaining a target point cloud corresponding to a target building; wherein the target point cloud comprises a plurality of target sampling points; sequentially determining a plurality of target fitting planes with the maximum number of corresponding inner points based on the target point cloud, and determining a plurality of plane feature groups of the plurality of target fitting planes; wherein the number of the inner points is the number of the inner points, the inner points are sampling points, the distance between the inner points and the plane is smaller than a preset distance threshold value, and the inner points corresponding to different target fitting planes are not repeated; and constructing a plurality of target plane models corresponding to the plurality of target fitting planes according to the plurality of plane feature groups, and constructing a target building model corresponding to the target building based on the plurality of target plane models. Therefore, the overall precision of the building model is improved, the building model can be subsequently adjusted according to the fine granularity of the plane, and the flexibility of adjusting the model is improved.

The invention discloses a three-dimensional point cloud building automatic modeling system based on deep learning. The system comprises a point cloud acquisition and input module, a point cloud preprocessing module, a depth feature extraction module, a semantic segmentation and component identification module, a structure parameter analysis module and a parameterized model generation module. According to the invention, through deep fusion of the point cloud deep learning network and the parametric modeling engine, full-process automation of building three-dimensional modeling is realized; the depth feature extraction module is used, so that the recognition accuracy of structures such as doors, windows and roof edges can be effectively improved, the precision of a building model is ensured, and the depth feature extraction module can continuously improve the recognition accuracy along with continuous use of the system; and by using the semantic segmentation and component identification module, the irregularity of the building point cloud, the complexity of the structure and the shielding noise can be identified and distinguished, and the problem that semantic annotation and topological repair need to be manually performed in the prior art is solved.

The invention provides an existing building BEM modeling method, system and device based on an infrared thermal image of an unmanned aerial vehicle and a medium, and belongs to the technical field of building modeling. Generating a three-dimensional geometric model of the building main body; screening out an external window candidate area by analyzing RGB value characteristics of the visible light point cloud, generating a window opening three-dimensional boundary, and determining an internal surface temperature and an indoor air temperature through internal surface infrared temperature measurement and area weighted integration; and based on the temperature data and the building envelope construction parameters, inverting heat transfer coefficients of the outer wall, the roof and the outer window, and finally constructing a building energy consumption model in combination with the weighted average K value. According to the method, precise operation from building geometric model construction to thermal parameter acquisition and then building energy consumption model construction is realized. The efficiency and precision of BEM modeling of the existing building are improved, and a scientific basis is provided for building energy-saving transformation, energy consumption evaluation and the like.

The invention discloses a building design and analysis method based on point cloud three-dimensional reconstruction, and belongs to the technical field of building modeling. The method comprises the following steps of: training an indoor scene speculation network by using a collected data set by acquiring external point cloud data of a house and combining a house CAD design drawing (CAD image); a multi-view image of an indoor scene is speculated and generated by using a generative adversarial network (GANs), then indoor point clouds are generated through the images, and finally the indoor and outdoor point clouds are fused, so that the internal layout of a house is speculated and designed and a house model is established under the condition that the internal scene layout of the house is not known, the privacy of a house owner is protected, and the security of the house owner is improved. And the design efficiency and accuracy are also improved.

The invention relates to the field of BIM (Building Information Modeling) model generation and artificial intelligence, and provides an unmanned aerial vehicle image-based programmed building modeling method, which comprises the following steps of: constructing a model training data set; an intelligent building parametric modeling script generation model is constructed and trained, specifically, the intelligent building parametric modeling script generation model uses a ViT model to extract visual features, an MLP multi-layer perceptron carries out cross-modal projection compression, and an LLM large language model generates a building parametric modeling script capable of driving BIM software; building parametric modeling script intelligent generation model reasoning: inputting an unmanned aerial vehicle image, and outputting a building parametric modeling script capable of driving BIM software; and generating a BIM model supporting parameterized linkage updating based on the building parameterized modeling script of the drivable BIM software. According to the invention, end-to-end automatic generation of the BIM model from the unmanned aerial vehicle image is innovatively realized. The invention further provides a building programmed modeling system based on the unmanned aerial vehicle image.

The invention discloses an urban rainfall flood simulation-oriented building modeling method based on point cloud data, and belongs to the technical field of urban hydrological modeling, and the method comprises the steps: carrying out the neighborhood search of the rasterized point cloud data, constructing a covariance matrix according to a neighborhood point set, and carrying out the eigenvalue decomposition to obtain a normal vector; plane feature points and slope feature points are determined by extracting vertical components of normal vectors, and then the number of the plane feature points and the number of the slope feature points are counted to determine the building type; projecting the point cloud data to an XOY plane to generate a regularized contour boundary; if the building is a flat roof building, combining the regularized contour boundary with a preset earth surface model to obtain a building model; and if the building is a pitched roof building, constructing a triangular grid through the point cloud data, and combining the triangular grid with a preset earth surface model by using the regularized contour boundary to obtain a building model. According to the method, the problems of low modeling efficiency and geometric distortion caused by incapability of constructing an adaptive model based on a building type in the prior art are solved.

The invention relates to an automatic building modeling method based on multi-modal information and a knowledge graph, and the method comprises three key links: firstly, for heterogeneous data such as drawings, texts and tables, constructing a modeling task-oriented feature extraction and preprocessing process, and guaranteeing the accurate acquisition of key modeling parameters; secondly, a unified semantic framework is constructed based on an IFC standard, construction of a multi-modal information knowledge graph is completed with the help of a graph database Neo4j, and structured management and semantic association modeling of data are achieved; and finally, in combination with the semantic retrieval capability of the atlas and an Ifopen Shell programming interface, completing automatic mapping of parameters and components and model generation, outputting an IFC file conforming to industry specifications, and realizing visual display of a three-dimensional model. According to the method, the extraction integrity of the multi-modal data and the model construction accuracy are effectively improved, and a new thought is provided for automatic construction and intelligent management of the building information model.

The invention relates to the technical field of BIM building modeling processing, and discloses a BIM intelligent building modeling method and system based on a large language model, and the system comprises a BIM building modeling object analysis module, a BIM building modeling instruction analysis module, and a BIM building modeling execution module. Performing BIM building modeling object three-dimensional model intelligent search according to a building modeling object type analysis result in combination with an intelligent recognition algorithm and different types of building modeling object three-dimensional model information stored based on big data, and realizing scientific and efficient generation of a BIM building modeling object three-dimensional structure based on a natural language; bIM building modeling control instruction intelligent matching is carried out according to the modeling demand text data of the position, shape and size relation between a building modeling object and a building modeling scene in combination with an intelligent search algorithm and standard-stored building modeling control instructions with different modeling demands; bIM building modeling control instructions are intelligently and accurately selected based on natural languages and design concepts of designers.

Methods and systems for collecting data about GNSS signals in an environment to estimate parameters about objects in the environment. In one embodiment, GNSS signals are received and processed to obtain a set of one or correlation vectors that include both line of sight (LOS) signals and diffracted signals. The LOS signals and diffracted signals are processed to derive geometric measurements that can be used to determine the height of a building in the environment or other aspects of the building. In another embodiment, the collected data can be used to improve or correct a ray tracing model for the environment.

The invention provides a live-action three-dimensional model construction method and system of a building, and relates to the technical field of building modeling. According to the method, feature extraction and semantic segmentation are carried out on the two types of point clouds through the deep learning model, so that point cloud registration is completed more quickly and accurately, and the error problem caused by manual marking is avoided; and meanwhile, intelligent registration and fusion are performed on two types of point clouds obtained by oblique photogrammetry and laser scanning by using a deep learning model, manual participation is not needed, and automatic, accurate and rapid fusion of the point clouds inside and outside the building is realized.

The invention provides a building three-dimensional automatic modeling method based on oblique photogrammetry data, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: converting measurement data into three-dimensional point clouds, and obtaining non-ground point clouds in the three-dimensional point clouds by adopting a CSF algorithm; non-ground point clouds are clustered on the XY plane by adopting a DBSCAN algorithm to obtain independent point cloud clusters corresponding to the building, and two-dimensional vector contours of the independent point cloud clusters are obtained by adopting an Alpha Shape algorithm. The independent point cloud clusters are horizontally sliced along the Z axis, a plurality of cross section point sets are extracted in the Z-axis direction, two-dimensional convex hulls of the cross section point sets are calculated, the intersection-to-union ratio of the two-dimensional convex hulls and preset convex hulls is calculated, and when the intersection-to-union ratio exceeds a threshold value for the first time and is kept stable, the boundary height of the building is obtained. And stretching the two-dimensional vector contour along the Z axis according to the boundary height to obtain a first three-dimensional model of the building. According to the invention, manual intervention can be reduced, and the building modeling efficiency is improved.

A building modeling method may include separating, by a data generating device, a point cloud corresponding to a ground and a point cloud corresponding to a non-ground from aerial point cloud data acquired from a LiDAR mounted on a flight device, classifying, by the data generating device, a point cloud corresponding to a roof of a building among the point clouds corresponding to the non-ground, and modeling, by the data generating device, the building based on the classified point cloud. The present method is technology developed with the support of the Ministry of Trade, Industry and Energy / Korea Planning & Evaluation Institute of Industrial Technology (Task No. 20022003 / Project Name-Automotive Industry Technology Development Project / Task Name-Development of industrial autonomous driving and stability securing technology based on vertical and horizontal linkage).

The invention relates to the technical field of geographic information live-action three-dimensional modeling, and particularly discloses a building rapid three-dimensional modeling method based on a single remote sensing image. According to the method, rapid three-dimensional building modeling is carried out through a single remote sensing image, accurate geographic coordinates and technical parameters such as the inner orientation and the outer orientation of a photo are not needed, and the technical threshold and the cost input of modeling are greatly reduced; multiple algorithms are used for image segmentation and three-dimensional model construction, the automation degree is high, the modeling period is greatly shortened, the modeling speed is high, and manual intervention is not needed; the building shadow length is counted, the elevation is assigned in proportion, the height of the building is accurately calculated by combining the solar elevation angle, the remote sensing equipment elevation angle and the azimuth angle, the precision of the model is improved, three-dimensional modeling data can be lightened to a certain extent, the structure is simple, and the data size is one fifth of that of a normal three-dimensional model. And the data redundancy of the three-dimensional model is greatly reduced.

The invention relates to the technical field of data processing, in particular to a BIM-based building power resource intelligent allocation method. The method comprises the following steps: acquiring building modeling data and real-time power consumption data of each building area, and integrating the building modeling data and the real-time power consumption data to obtain the integrated building modeling data and real-time power consumption data; the historical building modeling data and the historical power consumption data are integrated, and a power consumption demand prediction model is constructed; processing the integrated building modeling data and the real-time power consumption data through a power consumption demand prediction model to obtain a power consumption demand prediction result of each building area; generating an optimal distribution strategy through a multi-objective optimal distribution algorithm based on the power consumption demand prediction result of each building area; and dynamically adjusting the power supply quantity of each building area based on an optimal distribution strategy, and carrying out intelligent distribution of power resources. The technical problems of incorrect data integration, inaccurate electricity demand prediction and low distribution efficiency in intelligent distribution of building electric power resources are solved.

The invention provides a three-dimensional image modeling method and device based on plane data, and the method comprises the steps: carrying out the full-color / multispectral band fusion, bit depth adjustment, thin cloud removal, image enhancement, stripe removal and light and color uniformity of a satellite surveying and mapping image, and achieving the real color recovery of the image; performing splicing preprocessing on the plurality of small orthographic satellite surveying and mapping images after real color recovery, performing image registration on the to-be-registered image and a reference image, performing image geometric correction on the registered image, and performing image mosaic processing on the plurality of images after image geometric correction to obtain a single large-scene image; and three-dimensional image matching, building mask extraction, three-dimensional building modeling and three-dimensional building post-processing are carried out on a single large scene image to obtain a three-dimensional digital surface model, and ground three-dimensional real image modeling is completed. By applying the technical scheme of the invention, the technical problem that the existing two-dimensional surveying and mapping data is difficult to meet the increasing application requirements of three-dimensional scenes is solved.

An ancient building cornice parameterized modeling method based on Revit secondary development belongs to the technical field of building information models, solves the technical problems of tedious steps, poor accuracy, low efficiency and the like of traditional ancient building modeling, and comprises the following steps: S1, parameterized design of cornice; s2, creating a DGWindow class which is used for calling a GUI (Graphical User Interface) window in the plug-in; s3, assembling the model; and S4, designing a graphic GUI (Graphical User Interface) to complete the assembly of the cornice model. According to the method, through deep fusion of the C # language and the RevitAPl, an innovative solution integrating parameterized interactive input, intelligent rule verification and complex component automatic generation is constructed. According to the scheme, building French material division is taken as core design logic, modulus rules, component proportions and drawing standards of a traditional cornice are converted into quantifiable parameter driving models, and full-process automation from design parameter input to national standard BIM model output is achieved.

The invention belongs to the technical field of intelligent evacuation, and discloses an intelligent evacuation path automatic generation system and method based on artificial intelligence. The method comprises the following steps: collecting building modeling data, wherein the building modeling data comprises building key parameters and equipment resource parameters; modeling according to the building modeling data to obtain a building simulation model; defining personnel characteristic parameters and disaster characteristic parameters on the building simulation model to obtain an intelligent evacuation simulation model; self-adaptively generating an evacuation path according to the intelligent evacuation simulation model; according to the scheme, the congestion state can be quickly responded in the dynamic environment, the high efficiency and safety of evacuation are guaranteed to the maximum extent through the mode of combining shunting optimization and priority setting, and the method is suitable for various complex buildings and disaster scenes and has remarkable practical value.

The invention provides a variable cross-section column steel bar modeling method, a plug-in and computer equipment, and belongs to the technical field of building modeling, and the method comprises the following steps: designing column longitudinal angle rib parameters, and creating a column longitudinal angle rib model according to the column longitudinal angle rib parameters; designing column longitudinal edge rib parameters, and creating a column longitudinal edge rib model according to the column longitudinal edge rib parameters and the column longitudinal angle rib model; column stirrup parameters are designed, and a single stirrup model is created according to the column stirrup parameters and the column longitudinal edge rib model; determining a stirrup encryption area and a non-encryption height according to the anti-seismic grade and the construction requirement, and then creating a stirrup model; and column additional stirrup parameters are designed, and an additional stirrup model is created according to the column additional stirrup parameters, the column longitudinal angle rib model and the column longitudinal edge rib model. According to the method, parametric modeling of the variable cross-section column can be achieved, and compared with a conventional modeling method, the workload of repeated modeling of each steel bar is reduced, the modeling process is simplified, the reinforcement efficiency is improved, the reinforcement error rate is reduced, and the steel bar drawing accuracy is improved.

The invention discloses a modeling file generation method, electronic equipment and a computer readable storage medium, and relates to the technical field of digital models.The modeling file generation method comprises the steps that target objects in an original building graph are extracted, and the target objects at least comprise wall objects; determining a central axis of each wall object, and extending each central axis to perform closing processing on the adjacent wall objects to generate closed space data; determining each basic primitive of each wall object, extracting attribute quantification information of each basic primitive, and associating the attribute quantification information, each basic primitive and each wall object according to the affiliation relationship to obtain structured data of each wall object; and based on the closed space data and the structured data, generating a target modeling file of the original building corresponding to the original building graph. According to the method, each target object is directly extracted from the original building graph to generate the target modeling file, so that the precision and convenience of building modeling are ensured.

The invention discloses an ancient building digital modeling method and a display platform, and relates to the technical field of building modeling, and the method comprises the steps: obtaining the three-dimensional point cloud data of the surface of a target ancient building, defining a plurality of potential defect regions, dividing the potential defect regions into a plurality of independent sub-regions, and combining the curvature deviation, normal vector deviation and residual error of each sub-region, thereby obtaining the three-dimensional point cloud data of the surface of the target ancient building. And calculating a corresponding comprehensive damage index to reflect the damage degree of the sub-region. According to the method, through the obtained three-dimensional point cloud data of the surface of the target historic building, through comprehensive analysis of the point cloud density, the normal vector deviation and the curvature value, the potential defect area is rapidly and accurately identified and refined to the sub-areas, the damage type and degree are comprehensively evaluated, and the efficiency and quality of historic building digital protection are improved. By means of three-dimensional point cloud rendering and diversified marking modes of a display platform, a user can visually know distribution and depth evaluation results of building surface defects, and meanwhile, damage priority ranking and repair simulation functions are achieved.

This application relates to an automated building modeling method based on multimodal information and knowledge graphs. The method includes three key steps: first, a feature extraction and preprocessing process for modeling tasks is constructed for heterogeneous data such as drawings, text, and tables to ensure the accurate acquisition of key modeling parameters; second, a unified semantic framework is constructed based on the IFC standard, and the multimodal information knowledge graph is constructed with the help of the graph database Neo4j, realizing structured data management and semantic association modeling; finally, the semantic retrieval capability of the graph is combined with the IfcOpenShell programming interface to complete the automatic mapping of parameters and components and model generation, output IFC files that comply with industry standards, and realize the visualization of three-dimensional models. This method effectively improves the extraction integrity of multimodal data and the accuracy of model construction, providing new ideas for the automated construction and intelligent management of building information models.

The invention discloses a BIM model number inputting and auditing method based on GH and Revit. A two-dimensional drawing is cleaned and number data is extracted through Rhino, the centroid of a BIM model component is extracted by utilizing Grasshopper and is projected to generate a point cloud, the number of the two-dimensional drawing and the BIM model component are matched based on a nearest neighbor algorithm, and batch inputting and dynamic synchronous updating of the number are realized. And reading an instance parameter value of the BIM model component through Grasshopper, and automatically comparing the instance parameter value with the two-dimensional drawing number data set to generate an Excel auditing report containing a consistency mark. The invention relates to the technical field of building modeling, and can solve the technical problems in the prior art.

The invention belongs to the technical field of building design, and particularly discloses a building facility AI modeling and dynamic simulation method and system based on an unmanned aerial vehicle aerial image, and the method comprises the following steps: collecting an aerial image of which the coverage range is not smaller than that of a to-be-collected land parcel, carrying out the preprocessing, building a three-dimensional space architecture reflecting a perspective relation, and carrying out the building facility AI modeling and dynamic simulation; model body blocks of the existing building and a model body block group of the demolished building in the aerial image are constructed, planes similar to materials of the surrounding environment are placed at the bottoms of all the demolished buildings, the range of the laid planes covers the bottom surfaces of the demolished building body blocks or exceeds the bottom surfaces of the demolished building body blocks, and the site is leveled; a new building is generated in the site, and the position of a reconstructed building is adjusted; and selecting the direction of a section cutting plane in the three-dimensional space architecture, adding a scene, and generating dynamic simulation demonstration. By adopting the technical scheme, three-dimensional building modeling is carried out on the scene picture, meanwhile, dynamic simulation of planning processes such as reservation, dismantling, transformation and new building is realized, and rapid modeling of facilities is realized.

The present disclosure provides a building modeling method, apparatus, device, and storage medium, relating to the field of modeling technology. The method includes: obtaining a target point cloud corresponding to a target building; wherein the target point cloud includes a plurality of target sampling points; sequentially determining a plurality of target fitting planes with the largest number of corresponding inliers based on the target point cloud, and determining a plurality of plane feature groups of the plurality of target fitting planes; wherein the number of inliers is the number of inliers, and an inlier is a sampling point whose distance from the plane is less than a preset distance threshold, and the inliers corresponding to different target fitting planes do not overlap; constructing a plurality of target plane models corresponding to the plurality of target fitting planes according to the plurality of plane feature groups, and constructing a target building model corresponding to the target building based on the plurality of target plane models. Thereby, the overall accuracy of the building model is improved, and subsequently, the building model can be adjusted with a finer granularity of planes, improving the flexibility of adjusting the model.

The application discloses a kind of building fine modeling method and device fusing knowledge graph, belong to landscape modeling and surveying technology field.The method is first obtained target building image and generates point cloud, obtains the mapping relationship between point cloud and image;According to building modeling content determines building modeling knowledge graph architecture, builds knowledge graph by knowledge representation, knowledge storage and knowledge fusion;Under the guidance of knowledge graph, utilize point cloud to build building main structure surface model;Obtain the positioning information of opening component, construct opening component model and modify main structure surface model;Determine the non-main component information outside main structure and opening component, and construct non-main component model by the guidance of knowledge graph;Combine all models, obtain target building model.The application avoids the problems such as model complexity and texture distortion, component monomer reconstruction difficulty of traditional method, and realizes hierarchical, component, fine building modeling.

The invention belongs to the technical field of graphic processing and three-dimensional modeling, and discloses a fluid impact building damage simulation method and system, and the method comprises solid-liquid mixed virtual simulation, building breaking virtual simulation and impact judgment virtual simulation. The solid-liquid mixing virtual simulation comprises solid modeling, liquid virtual simulation, particle mixing and buoyancy setting, the building crushing virtual simulation comprises building modeling, building pre-crushing and crushing threshold setting, and the impact judgment virtual simulation comprises polyhedron partition division and force field judgment. The fluid impact building damage virtual simulation effect is good, the calculation cost is reduced, the frame rate during virtual simulation is improved, and the universality is high. According to the virtual simulation method considering the mixing condition of the solid phase and the water phase, virtual simulation of a mechanism that the solid phase is carried by the water phase is achieved, pressure brought by collision point detection of liquid and the solid on models such as buildings is reduced, and the method can be used for virtual simulation of disasters such as flood and debris flow.

The invention discloses an open-web truss structure design method based on a single-layer cable net deformation form, and relates to the field of building design. The open-web truss structure design method based on the single-layer cable net deformation form comprises the following steps that a building space curved surface is projected to an xoy plane, and a projection line of a building outer contour line on the xoy plane is obtained; designing an initial cable net structure model based on the projection line of the outer contour line of the building in combination with building modeling requirements; finite element software is adopted to simulate the deformation form and deformation data of the initial cable net structure model under real load and real boundary conditions; extracting a displacement result of nodes of the initial cable net structure model, and performing scaling processing by combining the displacement result with the actual size of the building to obtain an optimal cable net structure matched with the actual shape of the building; and modifying the optimal cable net structure into an open-web truss structure. The open-web truss structure design method based on the deformation form of the single-layer cable net solves the problem of shear design of vertical rods in open-web truss design, and has the advantages of clear mechanics concept, simplicity in operation, low design difficulty and time and cost saving.