A method and system for generating an on-site model of a special-shaped hyperboloid building based on BIM

Abstract

The present invention relates to the field of building simulation technology, and discloses a method and system for generating an on-site model of a special-shaped hyperbolic building based on BIM, including: collecting multi-source heterogeneous point cloud data of the on-site of the special-shaped hyperbolic building to construct a three-dimensional feature tensor model, identifying key curvature mutation points of the tensor model to construct a spatial reference topological network; analyzing geometric profile features based on a digital skeleton model and performing hyperbolic fitting to obtain an initial BIM model; performing multi-physical field coupling simulation on the initial model to obtain a target BIM model; extracting the curvature distribution and structural stress parameters of the target BIM model to obtain basic model parameters, and combining historical performance benchmark data to construct a building performance prediction model; querying the bearing capacity standard and deformation threshold, analyzing and optimizing the combination of surface parameters and the prestress application strategy to obtain optimized simulation parameters for simulating the special-shaped hyperbolic building using the target model simulation. The present invention can improve the accuracy of simulating special-shaped hyperbolic buildings.

Description

Technical Field

[0001] The present invention relates to a method and system for generating an on-site model of a special-shaped hyperboloid building based on BIM, and belongs to the field of building simulation technology. Background Technique

[0002] In modern architectural design, special-shaped hyperboloid buildings have gradually become the focus of the architectural field with their unique aesthetic effects and innovativeness. The complex curved surface shapes of such buildings break through the regular forms of traditional buildings and add a special charm to the urban skyline. However, their unique geometric shapes pose unprecedented challenges to building construction. The generation of an on-site model is crucial for the construction of special-shaped hyperboloid buildings. An accurate on-site model can help the construction team intuitively understand the architectural design intent, effectively plan the construction process, and precisely guide construction operations, thereby ensuring the building quality, reducing construction errors, and controlling construction costs and schedules. By constructing a detailed on-site model, potential problems in design and construction can be discovered in advance, enabling timely adjustment and optimization.

[0003] Currently, there are many methods for generating on-site models of special-shaped hyperboloid buildings. Traditional methods mostly rely on manual measurement and two-dimensional drawing interpretation. This method is not only inefficient, but also difficult to guarantee the accuracy of measurement data when facing complex hyperboloids, easily causing model deviations and resulting in rework and resource waste during the construction process. Some computer-aided design (CAD)-based methods, although improving the modeling efficiency to a certain extent, have deficiencies in data processing and model detail representation for complex hyperboloid shapes and are difficult to meet the requirements of high-precision models for on-site construction. Summary of the Invention

[0004] The present invention provides a method and system for generating an on-site model of a special-shaped hyperboloid building based on BIM, and its main purpose is to improve the accuracy of simulation of special-shaped hyperboloid buildings.

[0005] To achieve the above object, a method for generating an on-site model of a special-shaped hyperboloid building based on BIM provided by the present invention includes:

[0006] Collecting multi-source heterogeneous point cloud data of the on-site of the special-shaped hyperboloid building, constructing a three-dimensional feature tensor model of the multi-source heterogeneous point cloud data, identifying key curvature mutation points of the three-dimensional feature tensor model, and using the key curvature mutation points to construct a spatial reference topological network of the special-shaped hyperboloid building;

[0007] Based on the spatial reference topological network, a digital skeleton model of the special-shaped hyperboloid building is constructed. Using the digital skeleton model, the geometric contour features of the special-shaped hyperboloid building are analyzed. Based on the geometric contour features, the special-shaped hyperboloid building is subjected to hyperboloid fitting to obtain surface fitting information. Based on the surface fitting information, an initial BIM model of the special-shaped hyperboloid building is constructed;

[0008] Perform multi-physical field coupling simulation on the initial BIM model to obtain an initial structural model. Divide the initial structural model into building information units to obtain building division units. Construct a mechanical relationship model between the units of the building division units to obtain a target BIM model;

[0009] Extract the curvature distribution parameters and structural stress parameters of the target BIM model to obtain basic model parameters. Query the historical performance benchmark data of the special-shaped hyperboloid building. Use the basic model parameters and the historical performance benchmark data to construct a building performance prediction model for the special-shaped hyperboloid building. Query the bearing capacity standard and deformation threshold of the special-shaped hyperboloid building, so as to use the building performance prediction model to analyze the optimal surface parameter combination and prestress application strategy of the special-shaped hyperboloid building to obtain optimized simulation parameters. Based on the optimized simulation parameters, use the target BIM model to simulate the special-shaped hyperboloid building.

[0010] Optionally, the construction of the three-dimensional feature tensor model of the multi-source heterogeneous point cloud data includes:

[0011] Query the geometric information, radar echo information, and material images in the multi-source heterogeneous point cloud data;

[0012] Based on the geometric information, calculate the geometric features of the multi-source heterogeneous point cloud data;

[0013] Analyze the material features in the multi-source heterogeneous point cloud data based on the radar echo information;

[0014] Analyze the defect features in the multi-source heterogeneous point cloud data based on the material images;

[0015] Based on the geometric features, the material features, and the defect features, construct a three-dimensional feature tensor model of the multi-source heterogeneous point cloud data.

[0016] Optionally, the identification of the key curvature mutation points of the three-dimensional feature tensor model includes:

[0017] Perform point cloud mapping on the three-dimensional feature tensor model to obtain a mapped point cloud;

[0018] Construct a domain point set of the mapped point cloud;

[0019] Calculate the covariance matrix of the set of domain points;

[0020] Perform eigenvalue decomposition on the covariance matrix to obtain the decomposed eigenvalues;

[0021] Based on the decomposed eigenvalues, calculate the principal curvature and principal direction of the mapped point cloud;

[0022] Based on the principal curvature and the principal direction, determine the key curvature mutation points of the three-dimensional feature tensor model.

[0023] Optionally, using the key curvature mutation points to construct the spatial reference topology network of the special-shaped hyperboloid building includes:

[0024] Use the key curvature mutation points to construct the topology network nodes of the special-shaped hyperboloid building;

[0025] Identify the spatial position relationship and geometric features of the key curvature mutation points to determine the connection relationship of the topology network nodes;

[0026] Based on the connection relationship, perform node linking on each node in the topology network nodes to obtain the initial reference topology network;

[0027] After performing attribute configuration on the initial reference topology network, obtain the spatial reference topology network.

[0028] Optionally, using the digital skeleton model to analyze the geometric contour features of the special-shaped hyperboloid building includes:

[0029] Query the curvature feature points in the digital skeleton model;

[0030] Use a pre-configured spatial alignment matrix to perform spatial registration on the curvature feature points to obtain the registered point cloud;

[0031] Use the registered point cloud as the feature reference points of the special-shaped hyperboloid building;

[0032] Perform surface smoothing on the feature reference points to obtain regularized feature points;

[0033] Perform hyperboloid parameterization fitting on the regularized feature points, and determine the geometric contour features of the special-shaped hyperboloid building based on the fitting results of the hyperboloid parameterization fitting.

[0034] Optionally, based on the geometric contour features, perform hyperboloid fitting on the special-shaped hyperboloid building to obtain surface fitting information, including:

[0035] Construct the point coordinate tensor of the geometric contour features;

[0036] Query the fitting constraint conditions of the special-shaped hyperboloid building;

[0037] Based on the point coordinate tensor and the fitting constraint conditions, construct the tensor product interpolation matrix of the special-shaped hyperboloid building;

[0038] Based on the tensor product interpolation matrix, construct the sparse regularization equation of the special-shaped hyperboloid building;

[0039] Solve the sparse regularization equation set, and determine the surface fitting information of the special-shaped hyperboloid building according to the solution set of the sparse regularization equation set.

[0040] Optionally, the multi-physical field coupling simulation of the initial BIM model to obtain the initial structural model includes:

[0041] Perform structural mechanics analysis on the initial BIM model to obtain structural mechanics information;

[0042] Based on the structural mechanics information, construct the structural mechanics response simulation module of the initial BIM model;

[0043] Perform thermodynamic analysis on the initial BIM model to obtain thermodynamic information;

[0044] Based on the thermodynamic information, construct the surface temperature change analysis module of the initial BIM model;

[0045] Perform wind load analysis on the initial BIM model to obtain wind load information;

[0046] Based on the wind load information, construct the wind load dynamic module of the initial BIM model;

[0047] Based on the structural mechanics response simulation module, the surface temperature change analysis module and the wind load dynamic module, perform multi-physical field coupling simulation on the initial BIM model to obtain the initial structural model.

[0048] Optionally, the construction of the mechanical relationship model between the units of the building division unit to obtain the target BIM model includes:

[0049] Query the connection methods between the units in the building division unit;

[0050] Based on the connection method, determine the unit stress type of the building division unit;

[0051] Based on the unit stress type, construct the mechanical equilibrium function of the building division unit;

[0052] Calculate the stress value of the building division unit based on the mechanical equilibrium function;

[0053] Import the stress value into the initial BIM model to obtain a target BIM model.

[0054] Optionally, constructing the building performance prediction model of the special-shaped hyperboloid building by using the basic model parameters and the historical performance benchmark data includes:

[0055] Configure the initial prediction model of the special-shaped hyperboloid building;

[0056] Use the basic model parameters and the historical performance benchmark data;

[0057] Perform model training on the initial prediction model to obtain a performance prediction matrix;

[0058] Calculate the composite performance deviation value of the performance prediction matrix by using the following formula:

[0059] ;

[0060] Wherein, represents the composite performance deviation value, represents the actual wind-induced vibration displacement at time t, represents the predicted value of, represents the true material damage degree, represents the predicted value of, represents the material deformation error, represents the predicted value of, represents the wind-induced vibration weight, represents the damage weight, represents the thermal deformation weight, represents the maximum instantaneous displacement deviation, represents the damage distribution divergence, represents the average deformation error;

[0061] When the composite performance deviation value is not greater than the preset composite performance deviation value, take the initial prediction model as the building performance prediction model.

[0062] To solve the above problems, the present invention also provides a BIM-based on-site model generation system for special-shaped hyperboloid buildings, and the system includes:

[0063] A topology network construction module, configured to collect multi-source heterogeneous point cloud data of the on-site of the special-shaped hyperboloid building, construct a three-dimensional feature tensor model of the multi-source heterogeneous point cloud data, identify key curvature mutation points of the three-dimensional feature tensor model, and use the key curvature mutation points to construct a spatial reference topology network of the special-shaped hyperboloid building;

[0064] An initial BIM model construction module, which is used to construct a digital skeleton model of the special-shaped hyperboloid building based on the spatial reference topological network, analyze the geometric contour features of the special-shaped hyperboloid building by using the digital skeleton model, perform hyperboloid fitting on the special-shaped hyperboloid building based on the geometric contour features to obtain surface fitting information, and construct an initial BIM model of the special-shaped hyperboloid building based on the surface fitting information;

[0065] Target BIM model construction, which is used to perform multi-physical-field coupling simulation on the initial BIM model to obtain an initial structural model, perform building information unit division on the initial structural model to obtain building division units, and construct a mechanical relationship model between the units of the building division units to obtain a target BIM model;

[0066] A building simulation module, which is used to extract the curvature distribution parameters and structural stress parameters of the target BIM model to obtain basic model parameters, query the historical performance benchmark data of the special-shaped hyperboloid building, construct a building performance prediction model of the special-shaped hyperboloid building by using the basic model parameters and the historical performance benchmark data, query the bearing capacity standard and deformation threshold of the special-shaped hyperboloid building, so as to analyze the preferred surface parameter combination and prestress application strategy of the special-shaped hyperboloid building by using the building performance prediction model to obtain optimized simulation parameters, and perform simulation on the special-shaped hyperboloid building by using the target BIM model based on the optimized simulation parameters.

[0067] Compared with the problems described in the background art, in the embodiments of the present invention, multi-source heterogeneous point cloud data is first collected to obtain comprehensive and rich building site information, and then a three-dimensional feature tensor model is constructed to better capture the spatial features, geometric relationships, and internal connections between different data sources of the data, and a series of operations such as point cloud mapping are performed on the three-dimensional feature tensor model to identify key curvature mutation points, which help users understand the spatial form and structural characteristics of the building and lay a foundation for constructing the spatial topological structure of the building; further, the present invention extracts the key geometric features and topological relationships of the special-shaped hyperboloid building by using digital technology based on the spatial reference topological network, and then analyzes the geometric contour features of the building, extracts information such as boundaries, curvature changes, and concave and convex features, etc., to ensure that the fitted hyperboloid highly coincides with the external shape of the actual building. Then, by analyzing the surface fitting information of the building, the complex external shape of the building is represented by a mathematical model, which is convenient for various calculations and analyses. And based on the surface fitting information, the geometric data is imported into the BIM platform by using a parametric modeling tool to construct an initial BIM model, and an integrated digital model is obtained, integrating the geometric and non-geometric information of the building, providing a unified information platform for the whole life cycle management of the construction project; further, the present invention analyzes the initial BIM model for structural mechanics, thermodynamics, wind load, etc., to consider the influence of various physical phenomena and their interactions faced by the building in actual use, and then divides the obtained initial structural model into building information units to finely analyze the functions and roles of different parts of the model; furthermore, the present invention extracts basic model parameters such as curvature distribution parameters and structural stress parameters from the target BIM model to clearly master the morphological changes on the surface of the building and the stress conditions of the structure, providing a quantitative basis for analyzing the performance of the building. And by querying the historical performance benchmark data of the special-shaped hyperboloid building and comparing and analyzing with the currently extracted basic model parameters, the current performance state of the building is evaluated. Then, a performance prediction model is trained to help users understand the behavior of the building under different conditions in advance, predict possible problems and formulate preventive measures, and use the performance prediction model to find the combination of surface parameters and prestress application strategies that make the building performance reach the optimal, so as to simulate the special-shaped hyperboloid building to achieve the purpose of improving the simulation accuracy of the special-shaped hyperboloid building. Description of the Drawings

[0068] Figure 1 FIG. is a schematic flow chart of a method for generating a field model of a special-shaped hyperboloid building based on BIM provided by an embodiment of the present invention;

[0069] Figure 2 FIG. is a schematic module diagram for implementing the method for generating a field model of a special-shaped hyperboloid building based on BIM provided by an embodiment of the present invention.

[0070] The realization of the object, functional features and advantages of the present invention will be further described in conjunction with embodiments with reference to the accompanying drawings. Detailed implementation manners

[0071] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0072] The embodiment of the present application provides a method for generating a field model of a special-shaped hyperboloid building based on BIM. The execution subject of the method for generating a field model of a special-shaped hyperboloid building based on BIM includes but is not limited to at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for generating a field model of a special-shaped hyperboloid building based on BIM can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0073] Embodiment 1:

[0074] Refer to Figure 1 As shown, it is a flowchart of a method for generating a field model of a special-shaped hyperboloid building based on BIM provided by an embodiment of the present invention. In this embodiment, the method for generating a field model of a special-shaped hyperboloid building based on BIM includes:

[0075] S1. Collect multi-source heterogeneous point cloud data of the special-shaped hyperboloid building site, construct a three-dimensional feature tensor model of the multi-source heterogeneous point cloud data, identify key curvature mutation points of the three-dimensional feature tensor model, and use the key curvature mutation points to construct a spatial reference topological network of the special-shaped hyperboloid building.

[0076] Through the collection of multi-source heterogeneous point cloud data of the special-shaped hyperboloid building site in the embodiment of the present invention, comprehensive and rich building site information can be obtained. At the same time, multi-source heterogeneous data can complement each other to ensure that key information is not missed, laying a solid foundation for constructing a high-precision and complete model.

[0077] Among them, the special-shaped hyperboloid building refers to a building with unique geometric features in its architectural form. "Special-shaped" means that the shape is irregular, breaking through the common simple geometric shapes of traditional buildings (such as cuboids, cylinders, etc.), and having a complex and changeable appearance; "hyperboloid" means that the surface of the building is composed of this mathematical surface of the hyperboloid.

[0078] Optionally, the multi-source heterogeneous point cloud data can be obtained by scanning the special-shaped hyperboloid building site through a mobile scanning system that fuses millimeter-wave radar and inertial navigation.

[0079] In the embodiment of the present invention, by constructing the three-dimensional feature tensor model of the multi-source heterogeneous point cloud data, the spatial features, geometric relationships, and internal connections between different data sources of the data can be better captured.

[0080] As an embodiment of the present invention, the construction of the three-dimensional feature tensor model of the multi-source heterogeneous point cloud data includes: querying the geometric information, radar echo information, and material images in the multi-source heterogeneous point cloud data, calculating the geometric features of the multi-source heterogeneous point cloud data based on the geometric information, analyzing the material features in the multi-source heterogeneous point cloud data based on the radar echo information, analyzing the defect features in the multi-source heterogeneous point cloud data based on the material images, and constructing the three-dimensional feature tensor model of the multi-source heterogeneous point cloud data based on the geometric features, the material features, and the defect features.

[0081] Among them, the geometric information refers to the information related to the shape, size, position, and spatial relationship of an object, and the radar echo information refers to various information contained in the signal reflected back to the radar after the millimeter-wave radar emits millimeter-wave signals and the signals are reflected by an object when they encounter it.

[0082] Optionally, the geometric information can be obtained by querying the building geometric data of the corresponding special-shaped hyperboloid building in the multi-source heterogeneous point cloud data; the radar echo information can be obtained by querying the data collected by the millimeter-wave radar set during the on-site data collection of the special-shaped hyperboloid building; the material image can be obtained by collecting the image information of the special-shaped hyperboloid building through a high-definition camera device. The calculation of the geometric features of the multi-source heterogeneous point cloud data based on the geometric information can be obtained by calculating the coordinates, normal vectors, and curvatures of the building points in the special-shaped hyperboloid building. The material features can be obtained by analyzing the intensity and frequency of the reflected signals of the radar echo information. The defect features can be identified by analyzing the image features of the material image using a convolutional model. The three-dimensional feature tensor model can determine the three dimensions of the multi-source heterogeneous point cloud data using the geometric features, the material features, and the defect features, and then fill the point cloud data features in the multi-source heterogeneous point cloud data into the corresponding dimensions.

[0083] Furthermore, in the embodiment of the present invention, by identifying the key curvature mutation points of the three-dimensional feature tensor model, it can help users understand the spatial form and structural characteristics of the building, which is conducive to constructing the spatial topological structure of the building.

[0084] Among them, the key curvature mutation point refers to a point where the curvature of the surface of an object (such as the surface of a special-shaped hyperboloid building) changes significantly and suddenly in three-dimensional space.

[0085] As an embodiment of the present invention, identifying the key curvature mutation points of the three-dimensional feature tensor model includes: performing point cloud mapping on the three-dimensional feature tensor model to obtain a mapped point cloud, constructing a neighborhood point set of the mapped point cloud, calculating the covariance matrix of the neighborhood point set, performing eigenvalue decomposition on the covariance matrix to obtain decomposed eigenvalues, calculating the principal curvature and principal direction of the mapped point cloud based on the decomposed eigenvalues, and determining the key curvature mutation points of the three-dimensional feature tensor model based on the principal curvature and the principal direction.

[0086] Optionally, the mapped point cloud can be obtained by filtering the three-dimensional feature tensor model and then performing normalization processing. The neighborhood point set can be obtained by using the k-nearest neighbor algorithm to determine the neighborhood range of the point cloud data points and then collecting all the points within this range. The covariance matrix can be constructed by first calculating the mean of the coordinates of each point in the neighborhood point set and then using the covariance calculation formula to calculate the covariance between the coordinates of each point in the neighborhood point set. The decomposed eigenvalues can be obtained by decomposing the covariance matrix using a linear algebra algorithm such as the QR algorithm. The principal curvature and principal direction can be calculated using differential geometry algorithms. The key curvature mutation points can be obtained by comparing the calculated principal curvature and principal direction values with a preset threshold, and the preset threshold needs to be set in combination with actual application data.

[0087] Furthermore, by using the key curvature mutation points in the embodiment of the present invention, constructing the spatial reference topological network of the special-shaped hyperboloid building can clarify the relationship between key structural points in the building, facilitate the analysis of the spatial contour of the building, and facilitate better construction of the building model.

[0088] Among them, the spatial reference topological network refers to a network model based on spatial position relationships and topological structures for describing the relationships of specific spatial objects.

[0089] As an embodiment of the present invention, using the key curvature mutation points to construct the spatial reference topological network of the special-shaped hyperboloid building includes: using the key curvature mutation points to construct the topological network nodes of the special-shaped hyperboloid building, identifying the spatial position relationships and geometric features of the key curvature mutation points to determine the connection relationships of the topological network nodes, performing node linking on each node in the topological network nodes based on the connection relationships to obtain an initial reference topological network, and obtaining the spatial reference topological network after performing attribute configuration on the initial reference topological network.

[0090] Optionally, the topological network nodes can be constructed using three-dimensional space coordinates. The geometric features can be obtained by calculating geometric parameters such as the distances and angles between key curvature mutation points. The spatial position relationships can be obtained by calculating the distances between points using, for example, the Euclidean distance formula. The attribute configuration of the initial reference topological network can be achieved by assigning geometric attributes to the nodes and edges of the topological network, such as the coordinates and curvature values of the nodes, and the lengths and directions of the edges, as well as by assigning physical attributes to the nodes and edges of the topological network according to the structural and material characteristics of the building, such as the bearing capacity of the nodes and the stiffness of the edges.

[0091] S2. Based on the spatial reference topological network, construct the digital skeleton model of the special-shaped hyperboloid building. Using the digital skeleton model, analyze the geometric contour features of the special-shaped hyperboloid building. Based on the geometric contour features, perform hyperboloid fitting on the special-shaped hyperboloid building to obtain surface fitting information. Based on the surface fitting information, construct the initial BIM model of the special-shaped hyperboloid building.

[0092] In the embodiment of the present invention, by constructing the digital skeleton model of the special-shaped hyperboloid building based on the spatial reference topological network, key lines and nodes that can represent the structure and shape of the special-shaped hyperboloid building can be extracted.

[0093] Among them, the digital skeleton model refers to a simplified geometric representation of a building or structure constructed through digital technology, usually used to describe its core shape, topological relationships, and key features.

[0094] Optionally, the digital skeleton model can be constructed based on the spatial reference topological network by extracting the key geometric features and topological relationships of the special-shaped hyperboloid building through digital technology.

[0095] Furthermore, in the embodiment of the present invention, by using the digital skeleton model to analyze the geometric contour features of the special-shaped hyperboloid building, geometric contour information such as the boundaries, curvature changes, and concave and convex features of the building can be extracted, which is accurate and guarantees that the fitted hyperboloid highly coincides with the actual shape of the building.

[0096] As an embodiment of the present invention, using the digital skeleton model to analyze the geometric contour features of the special-shaped hyperboloid building includes: querying the curvature feature points in the digital skeleton model, performing spatial registration on the curvature feature points using a pre-configured spatial alignment matrix to obtain a registered point cloud, using the registered point cloud as the feature reference points of the special-shaped hyperboloid building, performing surface smoothing processing on the feature reference points to obtain regularized feature points, performing hyperboloid parametric fitting on the regularized feature points, and determining the geometric contour features of the special-shaped hyperboloid building based on the fitting results of the hyperboloid parametric fitting.

[0097] Optionally, the curvature feature points can be obtained by traversing the digital skeleton model data and marking the points with abnormal or significantly changing curvature values according to the curvature calculation algorithm. The registered point cloud can be obtained by performing transformation parameters such as translation, rotation, and scaling on the curvature feature points using geometric linear algebra matrix operations of the spatial alignment matrix. The regularized feature points can be adjusted by algorithms such as the least squares method or Gaussian filtering to remove local noise and mutations. The hyperbolic surface parameterization fitting of the regularized feature points can be achieved by selecting a suitable hyperbolic surface model (such as NURBS hyperbolic surface), and based on the regularized feature points, adjusting the hyperbolic surface parameters through optimization algorithms such as the least squares method to make the hyperbolic surface best approximate the feature point distribution.

[0098] Furthermore, in the embodiment of the present invention, by performing hyperbolic surface fitting on the special-shaped hyperbolic surface building based on the geometric contour features, the obtained surface fitting information can represent the shape of the complex special-shaped hyperbolic surface building with a mathematical model, which is convenient for various calculations and analyses, and provides accurate surface data for constructing the BIM model.

[0099] As an embodiment of the present invention, the hyperbolic surface fitting of the special-shaped hyperbolic surface building based on the geometric contour features to obtain surface fitting information includes: constructing a point coordinate tensor of the geometric contour features, querying the fitting constraint conditions of the special-shaped hyperbolic surface building, constructing a tensor product interpolation matrix of the special-shaped hyperbolic surface building based on the point coordinate tensor and the fitting constraint conditions, constructing a sparse regularization equation of the special-shaped hyperbolic surface building based on the tensor product interpolation matrix, solving the sparse regularization equation set, and determining the surface fitting information of the special-shaped hyperbolic surface building according to the solution set of the sparse regularization equation set.

[0100] Among them, the fitting constraint conditions refer to the conditions or rules used to limit and guide the generation of the surface during the hyperbolic surface fitting process to ensure that the fitting result meets the design requirements or actual physical conditions.

[0101] Optionally, the point coordinate tensor can be obtained by arranging the three-dimensional coordinates of each point in the geometric contour features in a specific order. For example, the three-dimensional coordinates of each point in the geometric contour features are arranged in a specific order to form a tensor structure. For example, taking [x, y, z] as a group, the coordinates of all points are sequentially combined into a three-dimensional tensor. The fitting constraint conditions can be obtained by extracting the conditions that need to be satisfied when fitting a hyperboloid from materials such as architectural design documents and mechanical requirements, such as the curvature range and boundary conditions of specific parts. The tensor product interpolation matrix can be constructed by determining interpolation nodes according to the point coordinate tensor, combining the fitting constraint conditions, and using the tensor product operation rules. The sparse regularization equation is formed by introducing a regularization term on the basis of the tensor product interpolation matrix. The solution of the sparse regularization equation system can be obtained by using methods such as the gradient descent method and the conjugate gradient method.

[0102] In an embodiment of the present invention, by constructing the initial BIM model of the special-shaped hyperboloid building based on the surface fitting information, an integrated digital model can be obtained, which integrates the geometric information and non-geometric information of the building and provides a unified information platform for the whole life cycle management of the construction project.

[0103] Among them, the initial BIM model refers to a digital building model created based on preliminary design data and geometric information in the early stage of the building information modeling (BIM) process.

[0104] Optionally, the initial BIM model can be generated by importing the geometric data of the special-shaped hyperboloid into the BIM platform using a parametric modeling tool based on the surface fitting information.

[0105] S3. Perform multi-physical field coupling simulation on the initial BIM model to obtain an initial structural model, perform building information unit division on the initial structural model to obtain building division units, and construct a mechanical relationship model between the units of the building division units to obtain a target BIM model.

[0106] In an embodiment of the present invention, by performing multi-physical field coupling simulation on the initial BIM model to obtain an initial structural model, various physical phenomena faced by the building in actual use, such as mechanics, thermotics, acoustics, etc., can be considered, and then the influence of the interaction of these different physical fields is applied to the initial BIM model for simulation.

[0107] As an embodiment of the present invention, the multi-physics field coupling simulation of the initial BIM model to obtain an initial structural model includes: performing structural mechanics analysis on the initial BIM model to obtain structural mechanics information, constructing a structural mechanics response simulation module of the initial BIM model based on the structural mechanics information, performing thermodynamics analysis on the initial BIM model to obtain thermodynamics information, constructing a surface temperature change analysis module of the initial BIM model based on the thermodynamics information, performing wind load analysis on the initial BIM model to obtain wind load information, constructing a wind load dynamic module of the initial BIM model based on the wind load information, and performing multi-physics field coupling simulation on the initial BIM model based on the structural mechanics response simulation module, the surface temperature change analysis module, and the wind load dynamic module to obtain an initial structural model.

[0108] Optionally, the structural mechanics analysis of the initial BIM model can be realized by using finite element analysis software to discretize the structural components in the BIM model, apply various loads (such as dead load, live load), and calculate the stress, strain, displacement and other information of each component. The structural mechanics response simulation module can organize the information obtained from the structural mechanics analysis into a data module, and set the input (such as different working condition loads) and output (structural response results) interfaces of the module in combination with the simulation algorithm. The thermodynamics analysis of the initial BIM model can be realized by establishing a heat conduction model of the BIM model, considering the thermal physical properties of building materials, and analyzing the temperature distribution and heat flow transfer under different boundary conditions (such as indoor-outdoor temperature difference). The wind load analysis of the initial BIM model can be realized by using the computational fluid dynamics (CFD) method to simulate the action of wind on the building according to the wind climate data of the building location, and obtaining the wind load magnitude, distribution, wind pressure coefficient and other information.

[0109] Furthermore, in the embodiment of the present invention, dividing the initial structural model into building information units to obtain building division units can help users to analyze the functions and roles of different parts of the model in a refined manner.

[0110] Optionally, the initial structural model can be divided into building information units to obtain building division units by using tools such as Revit, and the division can be realized according to the functional layout, structural characteristics and design requirements of the building, such as by floor, room, structural component, etc.

[0111] Even further, in the embodiment of the present invention, constructing a mechanical relationship model between the building division units to obtain a target BIM model can clarify the force transfer mode and interaction mechanism between the building division units, and further help users to deeply understand the mechanical behavior of the building structure and clearly grasp the transfer and distribution law of force in the structure.

[0112] As an embodiment of the present invention, constructing a mechanical relationship model between each unit of the building division unit to obtain a target BIM model includes: querying the connection manner between each unit in the building division unit, determining the unit stress type of the building division unit based on the connection manner, constructing a mechanical equilibrium function of the building division unit based on the unit stress type, calculating the stress value of the building division unit based on the mechanical equilibrium function, and importing the stress value into the initial BIM model to obtain the target BIM model.

[0113] Optionally, the connection manner can be obtained by traversing each building division unit in the building information model, viewing and recording the connection forms between adjacent units, such as welding, bolt connection, mortise and tenon connection, etc., or connection manners such as rigid connection and hinge connection between structural units. The unit stress type is obtained by combining mechanical principles according to different connection manners to judge the stress type borne by each building division unit, such as tension, compression, shear force, and bending moment. The mechanical equilibrium function can establish corresponding mechanical equilibrium equations according to the stress type of each building division unit based on the equilibrium conditions of Newtonian mechanics (equilibrium of forces and equilibrium of moments). Calculating the stress value of the building division unit based on the mechanical equilibrium function can substitute known parameters into the mechanical equilibrium function, and obtain the stress value of each building division unit by solving the equation, which can be realized by using numerical calculation methods or analytical methods, such as matrix operation, iterative algorithm, etc. Importing the stress value into the initial BIM model can associate the stress value data with the unit attributes in the model through the data import function of BIM software.

[0114] S4. Extract the curvature distribution parameters and structural stress parameters of the target BIM model to obtain basic model parameters, query the historical performance benchmark data of the special-shaped hyperbolic building, construct a building performance prediction model of the special-shaped hyperbolic building by using the basic model parameters and the historical performance benchmark data, query the bearing capacity standard and deformation threshold of the special-shaped hyperbolic building, so as to analyze the preferred surface parameter combination and prestress application strategy of the special-shaped hyperbolic building by using the building performance prediction model to obtain optimized simulation parameters, and perform simulation on the special-shaped hyperbolic building by using the target BIM model based on the optimized simulation parameters.

[0115] In the embodiment of the present invention, by extracting the curvature distribution parameters and structural stress parameters of the target BIM model to obtain basic model parameters, the morphological changes on the surface of the building and the stress conditions of the structure can be clearly grasped, providing a quantitative basis for further analyzing the building performance and helping to discover potential design or structural problems.

[0116] Optionally, the curvature distribution parameter and the structural stress parameter can be queried from the data storage end in the target BIM model.

[0117] In the embodiment of the present invention, by comparing and analyzing the historical performance benchmark data of the special-shaped hyperboloid building queried with the currently extracted basic model parameters, the current performance state of the building can be evaluated.

[0118] Among them, the historical performance benchmark data refers to the representative and authoritative performance data recorded in the history of the special-shaped hyperboloid building.

[0119] In the embodiment of the present invention, by using the basic model parameters and the historical performance benchmark data to construct the building performance prediction model of the special-shaped hyperboloid building, it can help users and designers understand the behavior of the building under different conditions in advance, predict possible performance degradation or structural damage, and thus formulate corresponding preventive measures and optimization plans to improve the reliability and durability of the building.

[0120] Among them, the building performance prediction model refers to a tool for predicting the performance of a special-shaped hyperboloid building under different conditions.

[0121] As an embodiment of the present invention, using the basic model parameters and the historical performance benchmark data to construct the building performance prediction model of the special-shaped hyperboloid building includes: configuring the initial prediction model of the special-shaped hyperboloid building, using the basic model parameters and the historical performance benchmark data to train the initial prediction model to obtain a performance prediction matrix, and calculating the composite performance deviation value of the performance prediction matrix using the following formula:

[0122] ;

[0123] Among them, represents the composite performance deviation value, represents the actual wind-induced vibration displacement at time t, represents the predicted value of represents the true material damage degree, represents the predicted value of represents the material deformation error, represents the predicted value of represents the wind-induced vibration weight, represents the damage weight, represents the thermal deformation weight, represents the maximum instantaneous displacement deviation, represents the damage distribution divergence, represents the average deformation error;

[0124] When the composite performance deviation value is not greater than the preset composite performance deviation value, the initial prediction model is used as the building performance prediction model.

[0125] Optionally, the initial prediction model selects a suitable model architecture, such as a neural network, a regression model, etc., according to the characteristics of the special-shaped hyperboloid building and the performance prediction requirements. Using the basic model parameters and the historical performance benchmark data to train the initial prediction model can organize the basic model parameters (such as curvature distribution parameters, structural stress parameters, etc.) and the historical performance benchmark data (such as past wind-induced displacement, material damage degree, deformation data, etc.) into a format acceptable to the model, and input them into the initial prediction model as training data. Then, machine learning training algorithms, such as stochastic gradient descent, Adam optimization algorithm, etc., are used to train the model.

[0126] Optionally, when the composite performance deviation value is not greater than the preset composite performance deviation value, using the initial prediction model as the building performance prediction model can compare the calculated composite performance deviation value with the preset composite performance deviation value. If the calculated value is less than or equal to the preset value, it means that the prediction performance of the model has reached an acceptable level, and the initial prediction model at this time is determined as the final building performance prediction model; otherwise, return to the model training step and continue to adjust the model parameters for training. The preset threshold of the composite performance deviation value can be set to 0.2, and specific settings need to be combined with actual applications.

[0127] Furthermore, in the embodiment of the present invention, by querying the bearing capacity standard and deformation threshold of the special-shaped hyperboloid building, the preferred surface parameter combination and prestress application strategy of the special-shaped hyperboloid building are analyzed by using the building performance prediction model, and the optimized simulation parameters can simulate and analyze different surface parameter combinations and prestress application strategies to find out the surface parameter combination and prestress application strategy that can make the building performance reach the optimal.

[0128] Optionally, the optimized simulation parameters can input different surface parameter combinations (such as curvature parameters, shape parameters, etc. of the hyperboloid) into the constructed building performance prediction model, let the model simulate the performance of the building under these parameter combinations, evaluate the advantages and disadvantages of each parameter combination according to the bearing capacity standard and deformation threshold, and screen out the parameter combinations that meet the requirements.

[0129] Furthermore, in the embodiment of the present invention, by using the target BIM model to simulate the special-shaped hyperboloid building based on the optimized simulation parameters, it can provide specific guidance for the design, construction and operation of the building, help engineers and designers make more scientific decisions, and thus improve the reliability of building simulation.

[0130] Optionally, based on the optimized simulation parameters, the simulation of the special-shaped hyperboloid building using the target BIM model can organize the optimized simulation parameters (such as the preferred surface parameters, prestress parameters, etc.) in a format recognizable by the target BIM model to obtain preprocessed data. Then, according to the actual situation and simulation requirements of the special-shaped hyperboloid building, reasonable boundary conditions, such as fixed constraints, sliding constraints, etc., are set in the target BIM model. At the same time, corresponding loads, such as dead loads, live loads, wind loads, and seismic loads, are applied to the model according to the design requirements and actual working conditions. Finally, the simulation is carried out by combining the preprocessed data and the boundary conditions.

[0131] Embodiment 2:

[0132] As Figure 2 shown, it is a functional module diagram of a system for generating a on-site model of a special-shaped hyperboloid building based on BIM according to the present invention.

[0133] The system 200 for generating a on-site model of a special-shaped hyperboloid building based on BIM according to the present invention can be installed in an electronic device. According to the functions to be realized, the system for generating a on-site model of a special-shaped hyperboloid building based on BIM can include a topology network construction module 201, an initial BIM model construction module 202, a target BIM model construction 203, and a building simulation module 204. The modules of the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0134] In the embodiments of the present invention, the functions of each module / unit are as follows:

[0135] The topology network construction module 201 is used to collect multi-source heterogeneous point cloud data of the on-site of the special-shaped hyperboloid building, construct a three-dimensional feature tensor model of the multi-source heterogeneous point cloud data, identify key curvature mutation points of the three-dimensional feature tensor model, and use the key curvature mutation points to construct a spatial reference topology network of the special-shaped hyperboloid building;

[0136] The initial BIM model construction module 202 is used to construct a digital skeleton model of the special-shaped hyperboloid building based on the spatial reference topology network, analyze the geometric contour features of the special-shaped hyperboloid building using the digital skeleton model, perform hyperboloid fitting on the special-shaped hyperboloid building based on the geometric contour features to obtain surface fitting information, and construct an initial BIM model of the special-shaped hyperboloid building based on the surface fitting information;

[0137] The target BIM model construction 203 is used to perform multi-physical field coupling simulation on the initial BIM model to obtain an initial structural model, divide the initial structural model into building information units to obtain building division units, and construct a mechanical relationship model between the units of the building division units to obtain the target BIM model;

[0138] The building simulation module 204 is used to extract the curvature distribution parameters and structural stress parameters of the target BIM model to obtain basic model parameters, query the historical performance benchmark data of the special-shaped hyperboloid building, use the basic model parameters and the historical performance benchmark data to construct a building performance prediction model for the special-shaped hyperboloid building, query the bearing capacity standard and deformation threshold of the special-shaped hyperboloid building, so as to analyze the preferred surface parameter combination and prestress application strategy of the special-shaped hyperboloid building by using the building performance prediction model to obtain optimized simulation parameters, and based on the optimized simulation parameters, use the target BIM model to simulate the special-shaped hyperboloid building.

[0139] Specifically, each module in the on-site model generation system 200 for a special-shaped hyperboloid building based on BIM in the embodiment of the present invention adopts the same technical means as those in the Figure 1 a method for generating an on-site model of a special-shaped hyperboloid building based on BIM described above, and can produce the same technical effects, which will not be elaborated here.

[0140] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for generating an on-site model of a special-shaped hyperbolic building based on BIM, characterized in that, The method includes: Collecting multi-source heterogeneous point cloud data of the special-shaped hyperboloid building site, constructing a three-dimensional feature tensor model of the multi-source heterogeneous point cloud data, identifying key curvature mutation points of the three-dimensional feature tensor model, and using the key curvature mutation points to construct a spatial reference topology network of the special-shaped hyperboloid building; Based on the spatial reference topology network, constructing a digital skeleton model of the special-shaped hyperboloid building, using the digital skeleton model to analyze the geometric contour features of the special-shaped hyperboloid building, performing hyperboloid fitting on the special-shaped hyperboloid building based on the geometric contour features to obtain surface fitting information, and constructing an initial BIM model of the special-shaped hyperboloid building based on the surface fitting information; Performing multi-physical field coupling simulation on the initial BIM model to obtain an initial structural model, performing building information unit division on the initial structural model to obtain building division units, and constructing a mechanical relationship model between the units of the building division units to obtain a target BIM model; Extracting the curvature distribution parameters and structural stress parameters of the target BIM model to obtain basic model parameters, querying the historical performance benchmark data of the special-shaped hyperboloid building, using the basic model parameters and the historical performance benchmark data to construct a building performance prediction model of the special-shaped hyperboloid building, querying the bearing capacity standard and deformation threshold of the special-shaped hyperboloid building, so as to analyze the preferred surface parameter combination and prestress application strategy of the special-shaped hyperboloid building by using the building performance prediction model to obtain optimized simulation parameters, and performing simulation on the special-shaped hyperboloid building by using the target BIM model based on the optimized simulation parameters. Among them, constructing the building performance prediction model of the special-shaped hyperboloid building by using the basic model parameters and the historical performance benchmark data includes: Configuring an initial prediction model of the special-shaped hyperboloid building; Using the basic model parameters and the historical performance benchmark data; Performing model training on the initial prediction model to obtain a performance prediction matrix; Calculating the composite performance deviation value of the performance prediction matrix by using the following formula: ； Among them, represents the composite performance deviation value, represents the actual wind-induced displacement at time t, represents the predicted value of represents the true material damage degree, represents the predicted value of represents the material deformation error, represents the predicted value of represents the wind-induced vibration weight, represents the damage weight, represents the thermal deformation weight, represents the maximum instantaneous displacement deviation, represents the damage distribution divergence, represents the average deformation error; When the composite performance deviation value is not greater than the preset composite performance deviation value, taking the initial prediction model as the building performance prediction model.

2. The on-site model generation method for a special-shaped hyperboloid building based on BIM according to claim 1, characterized in that The constructing the three-dimensional feature tensor model of the multi-source heterogeneous point cloud data includes: Querying the geometric information, radar echo information and material images in the multi-source heterogeneous point cloud data; Calculating the geometric features of the multi-source heterogeneous point cloud data based on the geometric information; Analyzing the material features in the multi-source heterogeneous point cloud data based on the radar echo information; Analyzing the defect features in the multi-source heterogeneous point cloud data based on the material images; Constructing the three-dimensional feature tensor model of the multi-source heterogeneous point cloud data based on the geometric features, the material features and the defect features.

3. The method for generating an on-site model of a special-shaped hyperboloid building based on BIM according to claim 1, characterized in that, The identifying the key curvature mutation points of the three-dimensional feature tensor model includes: Performing point cloud mapping on the three-dimensional feature tensor model to obtain a mapped point cloud; Constructing a neighborhood point set of the mapped point cloud; Calculate the covariance matrix of the set of domain points; Perform eigenvalue decomposition on the covariance matrix to obtain decomposed eigenvalues; Based on the decomposed eigenvalues, calculate the principal curvature and principal direction of the mapped point cloud; Based on the principal curvature and the principal direction, determine the key curvature mutation points of the three-dimensional feature tensor model.

4. A method for generating an on-site model of a special-shaped hyperbolic building based on BIM according to claim 1, characterized in that, Using the key curvature mutation points to construct the spatial reference topological network of the special-shaped hyperboloid building, including: Using the key curvature mutation points to construct the topological network nodes of the special-shaped hyperboloid building; Identify the spatial position relationship and geometric features of the key curvature mutation points to determine the connection relationship of the topological network nodes; Based on the connection relationship, perform node linking on each node in the topological network nodes to obtain an initial reference topological network; After performing attribute configuration on the initial reference topological network, obtain the spatial reference topological network.

5. The on-site model generation method for a special-shaped hyperbolic building based on BIM according to claim 1, wherein, Using the digital skeleton model to analyze the geometric contour features of the special-shaped hyperboloid building, including: Query the curvature feature points in the digital skeleton model; Perform spatial registration on the curvature feature points using a pre-configured spatial alignment matrix to obtain registered point clouds; Use the registered point clouds as the feature reference points of the special-shaped hyperboloid building; Perform surface smoothing processing on the feature reference points to obtain regularized feature points; Perform hyperboloid parameterization fitting on the regularized feature points, and determine the geometric contour features of the special-shaped hyperboloid building based on the fitting results of the hyperboloid parameterization fitting.

6. The on-site model generation method for a special-shaped hyperboloid building based on BIM according to claim 1, characterized in that, Based on the geometric contour features, perform hyperboloid fitting on the special-shaped hyperboloid building to obtain surface fitting information, including: Construct the point coordinate tensor of the geometric contour features; Query the fitting constraint conditions of the special-shaped hyperboloid building; Based on the point coordinate tensor and the fitting constraint conditions, construct the tensor product interpolation matrix of the special-shaped hyperboloid building; Based on the tensor product interpolation matrix, construct the sparse regularization equation of the special-shaped hyperboloid building; Solve the sparse regularization equations, and determine the surface fitting information of the special-shaped hyperboloid building according to the solution set of the sparse regularization equations.

7. The on-site model generation method for a special-shaped hyperboloid building based on BIM according to claim 1, characterized in that, Performing multi-physics field coupling simulation on the initial BIM model to obtain an initial structural model, including: Perform structural mechanics analysis on the initial BIM model to obtain structural mechanics information; Based on the structural mechanics information, construct the structural mechanics response simulation module of the initial BIM model; Perform thermodynamics analysis on the initial BIM model to obtain thermodynamics information; Based on the thermodynamics information, construct the surface temperature change analysis module of the initial BIM model; Perform wind load analysis on the initial BIM model to obtain wind load information; Based on the wind load information, construct the wind load dynamic module of the initial BIM model; Based on the structural mechanics response simulation module, the surface temperature change analysis module, and the wind load dynamic module, perform multi-physics field coupling simulation on the initial BIM model to obtain an initial structural model.

8. The on-site model generation method for a special-shaped hyperboloid building based on BIM according to claim 1, characterized in that Constructing the mechanical relationship model between each unit of the building division unit to obtain the target BIM model, including: Query the connection methods between the various units in the building division unit; Based on the connection method, determine the unit stress type of the building division unit; Based on the unit stress type, construct the mechanical equilibrium function of the building division unit; Calculate the stress value of the building division unit based on the mechanical equilibrium function; Import the stress value into the initial BIM model to obtain the target BIM model.

9. A BIM-based on-site model generation system for special-shaped hyperboloid buildings, characterized in that, The system includes: A topology network construction module, configured to collect multi-source heterogeneous point cloud data of the site of a special-shaped hyperboloid building, construct a three-dimensional feature tensor model of the multi-source heterogeneous point cloud data, identify key curvature mutation points of the three-dimensional feature tensor model, and use the key curvature mutation points to construct a spatial reference topology network of the special-shaped hyperboloid building; An initial BIM model construction module, configured to construct a digital skeleton model of the special-shaped hyperboloid building based on the spatial reference topology network, analyze the geometric contour features of the special-shaped hyperboloid building using the digital skeleton model, perform hyperboloid fitting on the special-shaped hyperboloid building based on the geometric contour features to obtain surface fitting information, and construct an initial BIM model of the special-shaped hyperboloid building based on the surface fitting information; Target BIM model construction, configured to perform multi-physical field coupling simulation on the initial BIM model to obtain an initial structural model, perform building information unit division on the initial structural model to obtain a building division unit, and construct a mechanical relationship model between the various units of the building division unit to obtain a target BIM model; A building simulation module, configured to extract the curvature distribution parameters and structural stress parameters of the target BIM model to obtain basic model parameters, query the historical performance benchmark data of the special-shaped hyperboloid building, use the basic model parameters and the historical performance benchmark data to construct a building performance prediction model of the special-shaped hyperboloid building, query the bearing capacity standard and deformation threshold of the special-shaped hyperboloid building, so as to use the building performance prediction model to analyze the preferred surface parameter combination and prestress application strategy of the special-shaped hyperboloid building to obtain optimized simulation parameters, and based on the optimized simulation parameters, use the target BIM model to simulate the special-shaped hyperboloid building, wherein, constructing the building performance prediction model of the special-shaped hyperboloid building using the basic model parameters and the historical performance benchmark data includes: Configure the initial prediction model of the special-shaped hyperboloid building; Use the basic model parameters and the historical performance benchmark data; Perform model training on the initial prediction model to obtain a performance prediction matrix; Calculate the composite performance deviation value of the performance prediction matrix using the following formula: ； Among them, represents the composite performance deviation value, represents the actual wind-induced vibration displacement at time t, represents the predicted value of represents the true material damage degree, represents the predicted value of represents the material deformation error, represents the predicted value of represents the wind-induced vibration weight, represents the damage weight, represents the thermal deformation weight, represents the maximum instantaneous displacement deviation, represents the damage distribution divergence, represents the average deformation error; When the composite performance deviation value is not greater than the preset composite performance deviation value, use the initial prediction model as the building performance prediction model.

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