A method and system for in-depth design of high-rise building steel structure models based on BIM

Abstract

The present invention relates to the technical field of building information models, and specifically to a method and system for the detailed design of a high-rise building steel structure model based on BIM. First, the data of the high-rise building project is obtained and processed to obtain the keyword vector of the high-rise building project, and combined with the data-driven model reuse method for retrieval to obtain the most similar existing BIM model; the detailed design of the high-rise building steel structure is carried out according to the data of the most similar existing BIM model to obtain the initial detailed high-rise building steel structure model; the initial detailed high-rise building steel structure model is obtained and processed to obtain the wind resistance monitoring point set; according to the simulated wind load CFD model, the wind resistance experiment of the initial detailed high-rise building steel structure model is carried out and the wind resistance index of the wind resistance monitoring point is obtained. If it is greater than the preset wind resistance index threshold, the steel structure is adjusted; until the wind resistance indexes of all the wind resistance monitoring points are less than or equal to the preset wind resistance index threshold, the detailed high-rise building steel structure model is obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of building information modeling, and particularly to a method and system for the detailed design of a high-rise building steel structure model based on BIM. Background Art

[0002] BIM is short for Building Information Modeling, known as Building Information Model, which is a digital technology that integrates all relevant data of a building project through a three-dimensional model, covering building information in different stages such as design, construction, and operation and maintenance.

[0003] The high-rise building steel structure refers to the structural form of high-rise buildings mainly composed of steel materials such as steel beams, steel columns, and steel plates as load-bearing skeleton materials, which has the advantages of high strength, light weight, and good seismic performance, and is mainly applied to buildings such as high-rise residential buildings, office buildings, commercial buildings, and towers.

[0004] The wind resistance design of high-rise building structures is one of the key factors to ensure building safety. The node design of high-rise building steel structures is complex, and problems such as stress concentration or difficult construction are likely to occur. It has to face the tests of safety factors such as wind resistance and earthquake resistance, and there is insufficient data integration between different specialties such as architecture, structure, mechanical and electrical, and fire protection, and conflicts are likely to occur in the model. By using BIM technology to establish an accurate steel structure model, simulate the structural response under wind load, and optimize the model to reduce the wind vibration effect.

[0005] BIM technology can also be used for the detailed design of steel structures. Through the modeling and analysis of complex nodes, the optimal and most convenient node forms for construction operations are obtained, the efficiency of detailed design is improved, and processing drawings and component reports are automatically generated as the basis for material cutting, assembly, and settlement.

[0006] Therefore, a method and system for the detailed design of a high-rise building steel structure model based on BIM are proposed. Summary of the Invention

[0007] The purpose of the present invention is to provide a method and system for the detailed design of a high-rise building steel structure model based on BIM. By establishing a general node library, the detailed design time is shortened and the detailed design efficiency is improved; by using the high-rise building project keyword vector and data-driven model reuse method to select the most similar existing BIM model, and using the existing model for preliminary steel structure detailed design to improve the detailed design efficiency; then, by building a simulated wind load CFD model to conduct a wind resistance experiment on the initial detailed high-rise building steel structure model, collecting data on wind resistance monitoring points and calculating the wind resistance index, and optimizing the local steel structure according to the wind resistance index, finally obtaining the detailed high-rise building steel structure model.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A deepening design method for high-rise building steel structure models based on BIM, including:

[0010] Establish a general node library according to node types, node parameters, and standard modules;

[0011] Furthermore, the general node library includes:

[0012] The general node library includes node types, node parameters, standard modules, node templates, and design tools; among them, the node types include beam-column nodes, support nodes, welding nodes, and bolt nodes, the node parameters include geometric dimensions, material parameters, and connection methods, and the standard modules include beam-column connection standard modules, support structure standard modules, and seismic modules.

[0013] Establish a data-driven model reuse method through keyword vector acquisition, keyword vector matching, and calculation of matching scores;

[0014] Obtain and process the data of the high-rise building project to obtain the keyword vector of the high-rise building project, and retrieve the most similar existing BIM model according to the keyword vector of the high-rise building project and the data-driven model reuse method;

[0015] Furthermore, retrieving according to the keyword vector of the high-rise building project and the data-driven model reuse method includes:

[0016] Obtain the relevant data of the high-rise building project and perform data cleaning to obtain the first project keywords. The relevant data includes project design documents, building parameter tables, environmental data, user requirements, structural data, and functional data;

[0017] Use natural language processing tools to extract keywords from the first project keywords to obtain building feature keyword vectors, structural feature keyword vectors, and environmental feature keyword vectors, and merge the building feature keyword vectors, the structural feature keyword vectors, and the environmental feature keyword vectors to obtain the keyword vector of the high-rise building project;

[0018] Use the word frequency algorithm to measure the occurrence frequency of elements in the keyword vector of the high-rise building project, and obtain the keyword importance weights according to the occurrence frequency;

[0019] Retrieve the existing BIM models in the BIM database according to the keyword vector of the high-rise building project and calculate the matching scores. The calculation formula for the matching scores is:

[0020] ;

[0021] Among them, represents the matching score, Indicates the number of occurrences of the th element in the keyword vector of the high-rise housing project, Indicates the total number of occurrences of all elements in the keyword vector of the high-rise housing project, Indicates the number of occurrences of the th element in the existing BIM model in the keyword vector of the high-rise housing project, Indicates the length of the keyword vector of the high-rise housing project;

[0022] Obtain the existing BIM model with the highest matching score to get the most similar existing BIM model.

[0023] Call the stored data from the general node library according to the data of the most similar existing BIM model, and perform in-depth design of the high-rise housing steel structure to obtain the initial in-depth high-rise housing steel structure model;

[0024] Furthermore, the initial in-depth high-rise housing steel structure model includes:

[0025] Extract geometric features, material parameter features, node information features and stress analysis features from the most similar existing BIM model; among them, the geometric features include height, number of floors, column grid size and beam span, the material parameter features include steel strength, elastic modulus and density, the node information features include node connection method and node bearing capacity, and the stress analysis features include key stress-bearing members and bearing requirements;

[0026] Compare the data of the most similar existing BIM model with the project requirements to confirm the components and nodes that can be directly reused;

[0027] Adjust the component dimensions of the steel structure according to the high-rise housing project requirements;

[0028] Adjust the materials of the steel structure according to the high-rise housing project requirements;

[0029] Call the standard module from the general node library to perform parametric adjustment on the nodes to obtain the initial in-depth high-rise housing steel structure model.

[0030] Obtain the initial in-depth high-rise housing steel structure model and perform analysis and processing of key nodes to obtain the wind resistance monitoring point set; obtain and process the historical weather data of the location of the high-rise housing project to obtain the simulated wind load CFD model;

[0031] Furthermore, the wind resistance monitoring point set includes:

[0032] Use BIM software to obtain the 3D model of the initially deepened high-rise building steel structure model, and obtain model structure data, where the model structure data includes node coordinates, component information, and force distribution;

[0033] Clean and preprocess the model structure data to obtain key part data;

[0034] Select the first wind resistance monitoring points and the second wind resistance monitoring points according to the key part data. The first wind resistance monitoring points are located at the top, corner parts, and outer facade of the model, and the second wind resistance monitoring points are located at support nodes and beam-column nodes;

[0035] Obtain all the first wind resistance monitoring points and the second wind resistance monitoring points to obtain the wind resistance monitoring point set.

[0036] Furthermore, the simulated wind load CFD model includes:

[0037] The historical weather data of the high-rise building project includes wind speed, wind direction, temperature, humidity, and air pressure; the ways to obtain historical weather data include meteorological data platforms, open-source meteorological data, and on-site meteorological measurements; obtain historical weather data and clean and preprocess it to obtain complete weather data;

[0038] Import the initially deepened high-rise building steel structure model into CFD software and perform mesh division;

[0039] Set boundary conditions in the CFD model according to the complete weather data. The boundary conditions include wind speed boundary conditions and wind direction settings; among them, the wind speed boundary condition is to set the wind speed field around the building according to the maximum wind speed in the historical data, and the wind direction setting is to determine the simulated wind direction according to the historical wind direction data.

[0040] Conduct a wind resistance experiment on the initially deepened high-rise building steel structure model according to the simulated wind load CFD model;

[0041] Furthermore, the wind resistance experiment includes:

[0042] Use CFD software to perform fluid calculations to simulate the action of wind. The CFD simulation will give the distribution of the wind speed field around the initially deepened high-rise building steel structure model, the wind force, and the wind load on the model surface;

[0043] Collect and process the data of the wind resistance monitoring points during the wind resistance experiment to obtain the wind resistance index of the wind resistance monitoring points.

[0044] Obtain and process the data of the wind resistance monitoring points in the wind resistance experiment to obtain the wind resistance index; obtain the wind resistance monitoring points whose wind resistance index is greater than the preset wind resistance index threshold to obtain the set of steel structures to be adjusted, and perform steel structure adjustment;

[0045] Further, the wind resistance index includes:

[0046] Calculate the wind resistance index of the wind resistance monitoring point according to the wind load and the steel structure vibration amplification factor. The calculation formula of the wind resistance index is:

[0047] ;

[0048] Wherein, represents the wind resistance index, represents the weight coefficient of the wind load, represents the wind pressure coefficient, and the wind pressure coefficient is related to factors such as the building shape and wind direction, represents the air density, represents the wind speed, represents the windward area, represents the weight coefficient of the steel structure vibration amplification factor, represents the natural vibration frequency, represents the wind load frequency, represents the damping ratio.

[0049] Further, the steel structure adjustment includes:

[0050] Obtain all the wind resistance monitoring points whose wind resistance index is greater than the preset wind resistance index threshold to obtain the set of steel structures to be adjusted;

[0051] Obtain the steel structures to be adjusted and optimize the geometric shape of the building facade; obtain the node data of the steel structures to be adjusted and replace the existing nodes from the general node library;

[0052] After all the steel structures to be adjusted are adjusted, perform the wind resistance experiment again.

[0053] Further, after the adjustment is completed, perform the next round of the wind resistance experiment until the wind resistance index of all the wind resistance monitoring points is less than or equal to the preset wind resistance index threshold to obtain the deepened high-rise building steel structure model.

[0054] Compared with the prior art, the beneficial effects of the present invention are:

[0055] 1. Extract project keywords through natural language processing tools, calculate importance weights based on the frequency of keyword occurrences, and then calculate matching scores and sort the existing BIM models. This can quickly and accurately retrieve the existing models that best match the current project requirements from the BIM database. This data-driven model reuse method reduces repetitive modeling work, quickly finds highly matching models, and improves the efficiency of detailed design.

[0056] 2. By extracting the geometric feature, material parameter feature, node information feature, and stress analysis feature of the most similar existing BIM model, a mature basic design can be quickly obtained, components and nodes that can be directly reused can be confirmed, the initial design time can be significantly shortened, and the design cycle can be reduced. By calling the standard modules in the general node library, the workload of manually designing nodes can be reduced, and labor and time costs can be saved.

[0057] 3. By reasonably selecting wind resistance monitoring points, the wind resistance performance of high-rise buildings can be comprehensively monitored at key positions, the wind load effects at different positions can be accurately evaluated, and potential wind resistance problems can be identified in advance. By combining wind load and the steel structure vibration amplification factor to calculate the wind resistance index, factors such as wind speed, wind direction, building shape, wind load frequency, and vibration characteristics can be comprehensively considered, providing a more accurate wind resistance assessment. Through local optimization of the high-rise building steel structure model through wind resistance experiments, the overall wind resistance ability is improved, the steel structure detailed design process is optimized, and the detailed design efficiency is improved. Brief Description of the Drawings

[0058] Figure 1 It is a flowchart of a method for detailed design of a high-rise building steel structure model based on BIM provided by an embodiment of the present invention;

[0059] Figure 2 It is a schematic structural diagram of a general node library provided by an embodiment of the present invention;

[0060] Figure 3 It is a schematic structural diagram of a system for detailed design of a high-rise building steel structure model based on BIM provided by an embodiment of the present invention. Detailed Embodiments

[0061] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0062] Embodiment 1

[0063] This embodiment provides a method for detailed design of a high-rise building steel structure model based on BIM, and the process is asFigure 1 As shown, first, a general node library is established based on node types, node parameters, and standard modules. Part of the structure of the general node library is as Figure 2 shown;

[0064] Furthermore, Figure 2 shows a branch of a beam-column node in terms of node type in the general node library. The beam-column node branch further includes material parameters of the beam and column, force analysis data of the beam and column, and connection methods of the beam and column. Among them, the force analysis data includes the bearing capacity of the beam-column node, and the connection method includes the specific way of connecting the beam-column node.

[0065] Furthermore, the general node library includes:

[0066] The general node library includes node types, node parameters, standard modules, node templates, and design tools. Among them, the node types include beam-column nodes, support nodes, welding nodes, and bolt nodes. The node parameters include geometric dimensions, material parameters, and connection methods. The standard modules include beam-column connection standard modules, support structure standard modules, and seismic modules.

[0067] Furthermore, the node template is a pre-defined standardized model or format for node design, used to quickly generate a design scheme for the node; the design tool is a professional module for assisting in node design, used to optimize the node design process.

[0068] The general node library pre-classifies and stores data such as node types and parameters. The system or designers can quickly call standardized nodes without having to design from scratch, improving design efficiency, reducing repetitive design work, and at the same time improving design consistency. The integrated design tool can directly interact with the BIM model to achieve an integrated operation from extracting node data from the model to design optimization.

[0069] A data-driven model reuse method is established through keyword vector acquisition, keyword vector matching, and calculation of matching scores;

[0070] Data of high-rise building projects is obtained and processed to obtain keyword vectors of high-rise building projects, and retrieval is performed according to the keyword vectors of high-rise building projects and the data-driven model reuse method to obtain the most similar existing BIM model;

[0071] Furthermore, retrieval according to the keyword vectors of high-rise building projects and the data-driven model reuse method includes:

[0072] Relevant data of high-rise building projects is obtained and data cleaning is performed to obtain the first project keywords. The relevant data includes project design documents, building parameter tables, environmental data, user requirements, structural data, and functional data;

[0073] Use natural language processing tools to extract keywords from the first project keywords, obtaining a building feature keyword vector, a structural feature keyword vector, and an environmental feature keyword vector. Merge the building feature keyword vector, the structural feature keyword vector, and the environmental feature keyword vector to obtain the high-rise housing project keyword vector;

[0074] Use the word frequency algorithm to measure the occurrence frequency of elements in the high-rise housing project keyword vector, and obtain the keyword importance weights based on the occurrence frequency;

[0075] Retrieve existing BIM models in the BIM database according to the high-rise housing project keyword vector, and calculate the matching score. The calculation formula for the matching score is:

[0076] ;

[0077] where, represents the matching score, represents the number of occurrences of the -th element in the high-rise housing project keyword vector, represents the total number of occurrences of all elements in the high-rise housing project keyword vector, represents the number of occurrences of the -th element in the existing BIM model, represents the length of the high-rise housing project keyword vector;

[0078] Obtain the existing BIM model with the highest matching score to get the most similar existing BIM model.

[0079] Table 1. Keyword vectors and matching scores of some models

[0080]

[0081] As shown in Table 1 are the keyword vectors of some existing BIM models, as well as the matching scores between the models and the current project. Among them, the BIM model numbered M004 has the highest matching score with the current project and can be selected as the most similar existing BIM model.

[0082] Through automated retrieval by calculating the matching score, the existing BIM model that best meets the current project requirements can be quickly found, reducing the time for manual screening; with the help of the most similar existing BIM model, direct reference can be made from the basic model, saving the time for starting from scratch in design.

[0083] Call the stored data from the general node library according to the data of the most similar existing BIM model, and perform detailed design of the high-rise housing steel structure to obtain the initial detailed high-rise housing steel structure model;

[0084] Further, the initial deepened high-rise building steel structure model includes:

[0085] Extract geometric features, material parameter features, node information features, and stress analysis features from the most similar existing BIM model; wherein, the geometric features include height, number of floors, column grid size, and beam span, the material parameter features include steel strength, elastic modulus, and density, the node information features include node connection methods and node bearing capacities, and the stress analysis features include key stressed members and load-bearing requirements;

[0086] Further, compare the data of the most similar existing BIM model with the project requirements to confirm the components and nodes that can be directly reused;

[0087] Further, adjust the component sizes of the steel structure according to the high-rise building project requirements; adjust the materials of the steel structure according to the high-rise building project requirements; call standard modules from the general node library to parametrically adjust the nodes to obtain the initial deepened high-rise building steel structure model.

[0088] By extracting data from the most similar existing BIM model and adjusting and optimizing the initial deepened high-rise building steel structure model, the design efficiency, accuracy, and safety are effectively improved, while the design cost is reduced and standardization and collaborative design are promoted, providing comprehensive support for efficient and high-quality steel structure engineering design.

[0089] Obtain the initial deepened high-rise building steel structure model and perform analysis and processing on key nodes to obtain a wind resistance monitoring point set; obtain and process the historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model;

[0090] Further, the wind resistance monitoring point set includes:

[0091] Use BIM software to obtain the three-dimensional model of the initial deepened high-rise building steel structure model to obtain model structure data, and the model structure data includes node coordinates, component information, and stress distribution;

[0092] Perform data cleaning and preprocessing on the model structure data to obtain key part data;

[0093] Select the first wind resistance monitoring point and the second wind resistance monitoring point according to the key part data, the first wind resistance monitoring point is located at the top, corner parts, and outer facade of the model, and the second wind resistance monitoring point is located at support nodes and beam-column nodes;

[0094] Obtain all the first wind resistance monitoring points and the second wind resistance monitoring points to obtain the wind resistance monitoring point set.

[0095] By selecting the first wind resistance monitoring point and the second wind resistance monitoring point, the comprehensive coverage and monitoring of key parts are achieved, ensuring the accuracy and comprehensiveness of wind load monitoring. The parts with complex stress and vulnerable to wind load are preferably selected to facilitate the evaluation of the overall wind resistance performance.

[0096] Furthermore, the simulated wind load CFD model includes:

[0097] The historical weather data of the high-rise building project includes wind speed, wind direction, temperature, humidity, and air pressure; the ways to obtain historical weather data include meteorological data platforms, open-source meteorological data, and on-site meteorological measurements; the historical weather data is obtained and cleaned and preprocessed to obtain complete weather data;

[0098] The initially deepened high-rise building steel structure model is imported into CFD software and meshed;

[0099] According to the complete weather data, boundary conditions are set in the CFD model, and the boundary conditions include wind speed boundary conditions and wind direction settings; among them, the wind speed boundary condition is to set the wind speed field around the building according to the maximum wind speed in the historical data, and the wind direction setting is to determine the simulated wind direction according to the historical wind direction data.

[0100] The wind load CFD model is built using the historical weather data of the project location to ensure that the simulated results of wind speed and wind direction are highly consistent with the actual wind environment; by setting the maximum wind speed boundary condition and the simulated wind direction of the historical wind direction data, the wind resistance performance of the steel structure under extreme weather conditions is evaluated, improving the safety and reliability of the design.

[0101] The wind resistance experiment of the initially deepened high-rise building steel structure model is carried out according to the simulated wind load CFD model;

[0102] The data of the wind resistance monitoring points in the wind resistance experiment are obtained and processed to obtain the wind resistance index; the wind resistance monitoring points with the wind resistance index greater than the preset wind resistance index threshold are obtained to obtain the set of steel structures to be adjusted, and the steel structure is adjusted;

[0103] Furthermore, the CFD model can provide the wind pressure distribution at different positions of the model, and these wind pressures are used to calculate the wind load, and the magnitude and direction of the wind load will vary according to the influence of different wind speeds, wind directions, and building shapes;

[0104] Furthermore, the wind resistance experiment includes:

[0105] Use CFD software for fluid calculation to simulate the action of wind. The CFD simulation will give the distribution of the wind speed field around the initially deepened high-rise building steel structure model, the acting force of the wind, and the wind load on the model surface;

[0106] During the wind resistance experiment, data at the wind resistance monitoring points are collected and processed to obtain the wind resistance index at the wind resistance monitoring points.

[0107] Through the wind resistance experiment, the refined evaluation and optimization of the wind resistance performance of buildings can be achieved using the CFD model, which not only significantly improves the scientificity and safety of the design, but also effectively controls costs and shortens the design cycle.

[0108] Furthermore, the wind resistance index includes:

[0109] The wind resistance index at the wind resistance monitoring point is calculated based on the wind load and the steel structure vibration amplification factor, and the calculation formula of the wind resistance index is:

[0110] ;

[0111] Wherein, represents the wind resistance index, represents the weight coefficient of the wind load, represents the wind pressure coefficient, and the wind pressure coefficient is related to factors such as the building shape and wind direction, represents the air density, represents the wind speed, represents the wind-receiving area, represents the weight coefficient of the steel structure vibration amplification factor, represents the natural vibration frequency, represents the wind load frequency, represents the damping ratio.

[0112] Furthermore, as shown in Table 2, the wind resistance indices of some wind resistance monitoring points are presented. The threshold is set to 0.9. It can be seen from the table that the numbers FK3, FK7, and FK8 do not meet the requirements and the steel structure needs to be adjusted.

[0113] Calculating the wind resistance index of the wind resistance monitoring point using the wind load and the steel structure vibration amplification factor can comprehensively evaluate the wind resistance performance of the steel structure, comprehensively evaluate the wind resistance ability of the building, accurately identify the key parts with insufficient wind resistance performance, and guide the optimized design of the steel structure.

[0114] Table 2. Wind Resistance Indices of Some Wind Resistance Monitoring Points

[0115]

[0116] Furthermore, the steel structure adjustment includes:

[0117] All the wind resistance monitoring points with the wind resistance index greater than the preset wind resistance index threshold are obtained to get the set of steel structure points to be adjusted;

[0118] Obtain the steel structure points to be adjusted and optimize the geometric shape of the building facade to reduce the impact area of wind loads, such as using rounded corners instead of sharp corners and optimizing the wing plate direction; obtain the node data of the steel structure points to be adjusted and replace the existing nodes with higher strength from the general node library;

[0119] After all the steel structure points to be adjusted are completed, conduct the wind resistance experiment again.

[0120] As shown in Table 3 are the final wind resistance indices of some wind resistance monitoring points. When the wind resistance indices of all monitoring points are less than 0.9, it indicates that the wind resistance of the model meets the standard, and the detailed design of the high-rise building steel structure ends.

[0121] Table 3. Final wind resistance indices

[0122]

[0123] By carrying out structural adjustment and optimization on all the wind resistance monitoring points with wind resistance indices greater than the preset wind resistance index threshold, the wind resistance capacity of the wind resistance monitoring points is improved, the stability of the model is improved, and the efficiency of the detailed design of the high-rise building steel structure is improved.

[0124] Furthermore, after completing the detailed design of the high-rise building steel structure, output the detailed design document. The detailed design document includes the construction details of the automatically generated nodes, including the dimensions, materials, connection methods, and processing requirements of the nodes, and provides sectional views and 3D views to facilitate the construction personnel to understand the design intent. Export the material list and processing list to provide a basis for subsequent procurement and manufacturing.

[0125] First, establish a general node library to provide a large number of existing nodes and models, improve the design efficiency, and avoid repetitive design work; then, retrieve the existing BIM model that best meets the current project requirements through the data-driven model reuse method and conduct the detailed design of the high-rise building steel structure, which improves the design efficiency; build a wind load CFD model to simulate the weather at the project location and conduct a wind resistance experiment. By calculating the wind resistance indices of the wind resistance monitoring points and screening out the wind resistance monitoring points that need to be adjusted for node and module replacement, the bearing capacity and stability of the monitoring points are improved, and the wind resistance performance of the wind resistance monitoring points is improved; through scientific design, experimental verification, and optimized execution, a closed-loop process is formed, effectively improving the wind resistance performance of the high-rise building steel structure and optimizing the detailed design of the high-rise building steel structure.

[0126] Embodiment 2

[0127] As shown in Table 4 are some project data of the high-rise residential project in Area A. Now, through a BIM-based detailed design system for high-rise building steel structures provided by the present invention, the system structure is as Figure 3As shown in the figure, the deepening design of the high-rise building steel structure of this project is carried out, and the specific implementation method is as follows:

[0128] Table 4, Project Data

[0129]

[0130] The general node library module is used to establish a general node library according to node types, node parameters, and standard modules;

[0131] The model retrieval module is used to obtain and process the data of the high-rise building project to obtain the keyword vector of the high-rise building project, and retrieve according to the keyword vector of the high-rise building project and the data-driven model reuse method to obtain the most similar existing BIM model;

[0132] Furthermore, retrieving according to the keyword vector of the high-rise building project and the data-driven model reuse method includes: obtaining the relevant data of the high-rise building project and performing data cleaning to obtain the first project keyword. The relevant data includes project design documents, building parameter tables, environmental data, user requirements, structural data, and functional data;

[0133] Using natural language processing tools to extract keywords from the first project keyword to obtain a building feature keyword vector, a structural feature keyword vector, and an environmental feature keyword vector, and merging the building feature keyword vector, the structural feature keyword vector, and the environmental feature keyword vector to obtain the keyword vector of the high-rise building project;

[0134] Using the word frequency algorithm to measure the occurrence frequency of elements in the keyword vector of the high-rise building project, and obtaining the keyword importance weight according to the occurrence frequency;

[0135] Retrieving the existing BIM models in the BIM database according to the keyword vector of the high-rise building project and calculating the matching score. The calculation formula of the matching score is:

[0136] ;

[0137] Among them, represents the matching score, represents the number of times the th element in the keyword vector of the high-rise building project appears, represents the total number of times all elements in the keyword vector of the high-rise building project appear, represents the number of times the th element in the keyword vector of the high-rise building project appears in the existing BIM model, represents the length of the keyword vector of the high-rise building project;

[0138] Obtain the existing BIM model with the highest matching score to get the most similar existing BIM model.

[0139] Table 5. Keyword vectors and matching scores of some models

[0140]

[0141] As shown in Table 5 are the matching scores of the keyword vectors of some existing models. Through the matching scores, the most similar existing BIM model can be quickly found.

[0142] The preliminary detailed design module is used to call the stored data from the general node library according to the data of the most similar existing BIM model, and perform the detailed design of the high-rise building steel structure to obtain the initial detailed high-rise building steel structure model;

[0143] The wind load model building module is used to obtain the initial detailed high-rise building steel structure model and perform analysis and processing of key nodes to obtain a set of wind resistance monitoring points; obtain and process the historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model;

[0144] The steel structure optimization module is used to obtain and process the data of the wind resistance monitoring points in the wind resistance experiment to obtain a wind resistance index; obtain the wind resistance monitoring points with the wind resistance index greater than the preset wind resistance index threshold to obtain a set of steel structures to be adjusted, and perform steel structure adjustment; after the adjustment is completed, conduct the next round of wind resistance experiment.

[0145] Furthermore, the wind resistance index includes:

[0146] Calculate the wind resistance index of the wind resistance monitoring point according to the wind load and the steel structure vibration amplification factor. The calculation formula of the wind resistance index is:

[0147] ;

[0148] Wherein, represents the wind resistance index, represents the weight coefficient of the wind load, represents the wind pressure coefficient, and the wind pressure coefficient is related to factors such as building shape and wind direction, represents the air density, represents the wind speed, represents the windward area, represents the weight coefficient of the steel structure vibration amplification factor, represents the natural vibration frequency, represents the wind load frequency, represents the damping ratio.

[0149] Further, as shown in Table 6, the wind resistance indexes of the first wind resistance experiments at some wind resistance monitoring points are presented. There are still wind resistance monitoring points with wind resistance indexes greater than the preset threshold of 0.8, and multiple wind resistance experiments need to be carried out.

[0150] Table 6. Wind resistance indexes of some wind resistance monitoring points

[0151]

[0152] Further, until the wind resistance indexes of all the wind resistance monitoring points are less than or equal to the preset wind resistance index threshold, a deepened high-rise building steel structure model is obtained.

[0153] Through a BIM-based deepening design system for high-rise building steel structures provided by the present invention, the rapid deepening design of high-rise building steel structures is realized, the wind resistance ability of high-rise buildings is improved, and the stability and safety of high-rise buildings are ensured.

[0154] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for in-depth design of a high-rise building steel structure model based on BIM, characterized in that: include: Establish a general node library based on node types, node parameters and standard modules; Establish a data-driven model reuse method by acquiring keyword vectors, matching keyword vectors, and calculating matching scores; Acquire and process data of a high-rise housing project to obtain a keyword vector of the high-rise housing project, and perform retrieval according to the keyword vector of the high-rise housing project and the data-driven model reuse method to obtain the most similar existing BIM model; According to the data of the most similar existing BIM model, the stored data is called from the general node library, and the in-depth design of the high-rise building steel structure is performed to obtain an initial in-depth high-rise building steel structure model; Obtain the high-rise building steel structure model after the initial deepening and perform analysis and processing on key nodes to obtain a set of wind resistance monitoring points; obtain and process historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model; Conducting a wind resistance test on the high-rise building steel structure model after the initial deepening according to the simulated wind load CFD model; The data of the wind resistance monitoring points in the wind resistance experiment are obtained and processed to obtain a wind resistance index; the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold are obtained to obtain a set of steel structure points to be adjusted, and the steel structure is adjusted; After the adjustment is completed, the next round of wind resistance test is carried out until the wind resistance index of all the wind resistance monitoring points is less than or equal to the preset wind resistance index threshold, and the deepened high-rise building steel structure model is obtained.

2. A method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1, characterized in that: The general node library includes: The general node library includes node types, node parameters, standard modules, node templates and design tools; wherein the node types include beam-column nodes, support nodes, welded nodes and bolt nodes; the node parameters include geometric dimensions, material parameters and connection methods; the standard modules include beam-column connection standard modules, support structure standard modules and seismic resistance modules.

3. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: Retrieving according to the high-rise housing project keyword vector and the data-driven model reuse method includes: Obtain relevant data of the high-rise housing project and perform data cleaning to obtain the first project keyword. The relevant data includes project design documents, building parameter tables, environmental data, user requirements, structural data, and functional data; Using a natural language processing tool to perform keyword extraction on the first project keywords to obtain an architectural feature keyword vector, a structural feature keyword vector, and an environmental feature keyword vector, and merging the architectural feature keyword vector, the structural feature keyword vector, and the environmental feature keyword vector to obtain a keyword vector for the high-rise housing project; Using a word frequency algorithm to measure the occurrence frequency of elements in the keyword vector of the high-rise housing project, and obtaining the keyword importance weight according to the occurrence frequency; According to the keyword vector of the high-rise housing project, the existing BIM model in the BIM database is retrieved, and the matching score is calculated. The calculation formula of the matching score is: ； in, represents the matching score, Indicates the first The number of times an element appears, represents the number of occurrences of all elements in the keyword vector of the high-rise housing project, Indicates the first The number of times an element appears in the existing BIM model. represents the length of the keyword vector of the high-rise housing project; The existing BIM model with the highest matching score is obtained to obtain the most similar existing BIM model.

4. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: The high-rise building steel structure model after initial deepening includes: Extract geometric features, material parameter features, node information features and force analysis features from the most similar existing BIM model; wherein the geometric features include height, number of floors, column grid size and beam span, the material parameter features include steel strength, elastic modulus and density, the node information features include node connection mode and node bearing capacity, and the force analysis features include key bearing components and bearing requirements; Compare the data of the most similar existing BIM model with the project requirements and identify the components and nodes that can be directly reused; Adjust the size of steel structure components according to the needs of high-rise housing projects; Adjust the materials of steel structure according to the requirements of high-rise housing projects; The standard module is called from the general node library, and the nodes are parametrically adjusted to obtain the initial detailed high-rise building steel structure model.

5. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: The wind resistance monitoring point set includes: Acquire and process the three-dimensional model of the high-rise building steel structure model after the initial deepening to obtain model structure data, wherein the model structure data includes node coordinates, component information and force distribution; Performing data cleaning and preprocessing on the model structure data to obtain key part data; Selecting a first wind resistance monitoring point and a second wind resistance monitoring point according to the key part data, wherein the first wind resistance monitoring point includes the top, corner and facade of the model, and the second wind resistance monitoring point includes the support node and the beam-column node; Acquire all of the first wind resistance monitoring points and the second wind resistance monitoring points to obtain the wind resistance monitoring point set.

6. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: The wind load simulation CFD model includes: The historical weather data of high-rise housing projects include wind speed, wind direction, temperature, humidity and air pressure; the ways to obtain historical weather data include meteorological data platforms, open source meteorological data and on-site meteorological measurements; obtain historical weather data and clean and pre-process it to obtain complete weather data; Importing the initially deepened high-rise building steel structure model into CFD software and performing meshing; According to the complete weather data, boundary conditions are set in the CFD model, and the boundary conditions include wind speed boundary conditions and wind direction settings; wherein the wind speed boundary conditions are to set the wind speed field around the building according to the maximum wind speed in the historical data, and the wind direction is set to determine the simulated wind direction according to the historical wind direction data.

7. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1 is characterized in that: The wind resistance test includes: Using CFD software to perform fluid calculations and simulate the effects of wind, the simulated wind load CFD model provides the distribution of the wind velocity field around the high-rise building steel structure model after the initial deepening, the wind force, and the wind load on the model surface; When performing the wind resistance experiment, data of the wind resistance monitoring point is collected and processed to obtain the wind resistance index of the wind resistance monitoring point.

8. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 7 is characterized in that: The wind resistance index includes: The wind resistance index of the wind resistance monitoring point is calculated according to the wind load and the steel structure vibration amplification factor. The calculation formula of the wind resistance index is: ； in, represents the wind resistance index, represents the weight coefficient of the wind load, It represents the wind pressure coefficient, which is related to the building shape and wind direction; represents the air density, Indicates wind speed, Indicates the wind-exposed area. represents the weight coefficient of the steel structure vibration amplification factor, represents the natural frequency, represents the wind load frequency, Represents the damping ratio.

9. The method for in-depth design of a high-rise building steel structure model based on BIM according to claim 1, characterized in that: Steel structure adjustments include: Acquire all the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold value, and obtain the set of steel structure points to be adjusted; Obtain the steel structure point to be adjusted and optimize the geometric shape of the building facade; obtain the node data of the steel structure point to be adjusted and replace the existing node from the general node library; After all the steel structure points to be adjusted have been adjusted, the wind resistance test is carried out again.

10. A BIM-based high-rise building steel structure model in-depth design system, characterized in that: include: The general node library module is used to establish a general node library according to node types, node parameters and standard modules; A model retrieval module is used to obtain and process data of a high-rise housing project to obtain a keyword vector of the high-rise housing project, and to perform retrieval based on the keyword vector of the high-rise housing project and the data-driven model reuse method to obtain the most similar existing BIM model; A preliminary detailed design module is used to call the stored data from the general node library according to the data of the most similar existing BIM model, and perform a detailed design of the high-rise building steel structure to obtain an initial detailed high-rise building steel structure model; A wind load model building module is used to obtain the high-rise building steel structure model after the initial deepening and analyze and process key nodes to obtain a set of wind resistance monitoring points; obtain and process historical weather data of the location of the high-rise building project to obtain a simulated wind load CFD model; The steel structure optimization module is used to obtain and process the data of the wind resistance monitoring points in the wind resistance experiment to obtain a wind resistance index; obtain the wind resistance monitoring points whose wind resistance index is greater than a preset wind resistance index threshold, obtain a set of steel structure points to be adjusted, and adjust the steel structure; after the adjustment, conduct the next round of wind resistance experiments until the wind resistance indexes of all the wind resistance monitoring points are less than or equal to the preset wind resistance index threshold, and obtain a deepened high-rise building steel structure model.

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