Building structure detection method based on BIM

Abstract

The invention discloses a BIM-based building structure detection method, and relates to the field of building structures, and the method comprises the following steps: S1, geometric detection: S11, detecting whether an artificially extracted building model and a live-action model are tightly nested or not, and detecting whether the geometric shape, size and position of a building meet design requirements or not; s12, constructing an analysis system; s13, based on the analysis system constructed in the step S12, carrying out automatic analysis on the average distance and error between each plane of the model and the original live-action model; s14, based on the analysis system constructed in the step S12, performing contrastive analysis on the three-dimensional live-action model one by one; s15, carrying out quality inspection statistical evaluation on the real scene model; s16, constructing a cloud architecture batch processing system; according to the BIM-based building structure detection method, the accuracy, the automation degree, the comprehensiveness and the efficiency of the BIM-based building structure detection method can be remarkably improved, and therefore powerful support and optimization means are provided for the design, construction and management stages of the building industry.

Description

Technical Field

[0001] The present invention relates to the field of building structures, and particularly to a building structure detection method based on BIM. Background Art

[0002] Building Information Modeling (BIM) refers to the general term for the process and results of digitally expressing the physical and functional characteristics of construction projects and facilities throughout their entire life cycle, and designing, constructing, and operating based on this. As a breakthrough means for information-based management in the construction industry, BIM technology can achieve the integration, coordination, and sharing of information throughout the entire life cycle of construction projects. Its application characteristics mainly include three-dimensional visualization, multi-party coordination, project optimization, and drawing generation.

[0003] However, in the design and construction process of some current large-scale buildings, problems such as insufficient accuracy, automation, comprehensiveness, and efficiency often occur in the design, construction, and management stages. Therefore, there is an urgent need for a building structure detection method based on BIM to provide powerful support and optimization means in the design, construction, and management stages of the construction industry, so as to improve the reasonable standardization degree of building structures and reduce engineering errors and defects. Summary of the Invention

[0004] In view of the deficiencies of the existing technology, the present invention provides the following technical solution: A building structure detection method based on BIM, comprising the following steps:

[0005] S1, Geometric detection, including the following steps:

[0006] S11, Detect whether the manually extracted building model and the real-scene model are tightly fitted, including detecting whether the geometric shape, size, and position of the building meet the design requirements;

[0007] S12, Construct an analysis system;

[0008] S13, Based on the analysis system constructed in step S12, automatically analyze the average distance and error between each plane of the model and the original real-scene model;

[0009] S14, Based on the analysis system constructed in step S12, perform a comparison and analysis of each patch of the three-dimensional real-scene model;

[0010] S15, Quality inspection statistics and evaluation of the real-scene model;

[0011] S16, Construct a cloud architecture batch processing system;

[0012] S2, Structural analysis;

[0013] S3, Model inspection;

[0014] S4, Collision Detection: During the building design and construction process, the BIM model uses the collision detection function to identify potential collisions or conflicts between different components and resolve these issues to ensure that each component can be correctly installed and operated.

[0015] As an improvement to the above technical solution, it further includes step S5, Material and Attribute Detection: The BIM model contains information about the materials and attributes of building elements, the material strength of walls, and the fire rating of floors. Detecting the accuracy and consistency of this information is one of the important contents of BIM detection.

[0016] As an improvement to the above technical solution, it further includes step S6, Change Detection and Update: As the building project progresses, the design may change. The BIM model is used to detect these changes and update and synchronize the model to ensure the consistency of design and construction.

[0017] As an improvement to the above technical solution, it further includes step S7, Structural Analysis and Simulation: The BIM model connects to structural analysis and simulation tools to conduct more in-depth structural analysis, including force analysis and wind load analysis, to help engineers evaluate the stability and safety of the structure.

[0018] As an improvement to the above technical solution, it further includes step S8, Visualization and Report Generation: The BIM model generates intuitive visualization images to help users intuitively understand the building structure, and generates detailed inspection reports to record various inspection results and problems, providing a basis for subsequent optimization and repair.

[0019] As an improvement to the above technical solution, in step S2, the structural analysis includes the following steps:

[0020] S21, Obtain the target building model based on BIM;

[0021] S22, Divide the model into regions to obtain multiple building sub-models;

[0022] S23, Conduct structural analysis on the building sub-models to obtain route structure data and building equipment structure data;

[0023] S24, According to the data obtained in S23, conduct fire protection line planning to obtain safety line data;

[0024] S25, Analyze and compare the data obtained in S24 with the preset standard data to obtain building structure correction data;

[0025] S26, Optimize and correct the structure of the building model according to the data obtained in S25.

[0026] As an improvement to the above technical solution, in step S3, the model check includes the following steps:

[0027] S31, Receive the building model, conduct a mechanical check on it, and determine the safety level;

[0028] S32, Generate a sub-model and establish a connection channel with the address book;

[0029] S33, Read the address book information, randomly send the sub-model to obtain feedback information, and sort the feedback information.

[0030] As an improvement to the above technical solution, in step S12, constructing the analysis system includes the following steps:

[0031] S121, Parametric modeling: Using BIM technology, parameterize the geometric information of complex nodes to facilitate the rapid creation and modification of the model;

[0032] S122, Finite element meshing: Automatically generate finite element meshes according to the geometric characteristics of the nodes to ensure the accuracy of the calculation;

[0033] S123, Input boundary conditions and loads: Through the GUI interface, users can conveniently set the constraints and loading conditions of the nodes;

[0034] S124, Run the analysis: Use ANSYS APDL to perform finite element solution and calculate the key indicators of stress, strain, and displacement of the nodes;

[0035] S125, Result post-processing: In the Matlab environment, visually display the analysis results to help engineers understand the stress state of the nodes and potential structural problems.

[0036] As an improvement to the above technical solution, in step S15, the quality inspection statistics and evaluation of the real-scene model include:

[0037] S151, Geometric accuracy: The geometric accuracy in the BIM model is an important indicator for quality inspection, including the geometric attributes of each component of the building, the size, shape, and position of the structure, which need to be consistent with the actual building design. During the quality inspection process, the geometric data of the BIM model will be compared with the design documents or the actual building to evaluate its consistency and accuracy;

[0038] S152, Information consistency: The BIM model includes geometric data, attribute information of building elements, material information, and construction details. Quality inspection needs to verify the integrity and consistency of the information in the model to ensure that each attribute data accurately reflects the actual situation;

[0039] S153, Component Relevance: Components in the BIM model have complex association relationships, including the connection between walls and floors, and the connection between pipes and equipment. Quality inspection will evaluate whether these association relationships are correctly modeled to ensure the coordination and consistency of the model during design changes or construction phases;

[0040] S154, Model Coordination: The BIM model usually consists of sub-models in multiple professional fields, including architecture, structure, and mechanical and electrical. Quality inspection will check the coordination between these sub-models to ensure that the professional models can operate without conflicts as a whole;

[0041] S155, Model Visualization and Display Effect: The visualization effect of the BIM model is used for design review and construction management. Quality inspection will evaluate the rendering effect, graphic display quality, and user interface friendliness of the model to ensure that the model can achieve the expected effect in terms of visualization and display;

[0042] S156, Data Management and Version Control: As an information-driven tool, the BIM model includes the data management method, version control mechanism, and the ability to update and track the model at different stages;

[0043] S157, Performance and Sustainability: The BIM model needs to process a large amount of data and complex calculations in large projects. Quality inspection will evaluate the performance of the model, including running speed and response time, and also consider the sustainability of the model and the possibility of future expansion.

[0044] As an improvement to the above technical solution, in step S16, the construction of the cloud architecture batch processing system includes:

[0045] S161, Requirement Analysis and Function Planning: Define the specific requirements and functions of the system, and the types of batch processing tasks supported, including batch import of model data, batch export of model data, and batch update of model information;

[0046] S162, Select a Suitable Cloud Service Provider: The BIM system usually needs to process a large amount of data and computing tasks, which provides rich computing, storage, and database services, and also supports high availability and scalability;

[0047] S163, Architecture Design: In the cloud architecture design, it is necessary to consider how to effectively utilize the services of the cloud platform to support batch processing tasks, including virtual machine instances, container services, serverless architecture, and related database and storage solutions;

[0048] S164, Data Management and Storage: The BIM system involves a large amount of model data and metadata management, so it is necessary to design a suitable data storage and management solution. The object storage, relational database, and document database provided by the cloud platform are used to store BIM model data and processing results;

[0049] S165, Security and Permission Control: Considering the sensitivity of BIM model data, the system needs to design a sound security policy and permission control mechanism to ensure the confidentiality and integrity of the data;

[0050] S166, Batch Task Scheduling and Execution: The core part of the designed system is the batch task scheduling and execution mechanism, which involves aspects such as task queue management, concurrency control, error handling, and logging, ensuring that tasks can be completed on time with a low error rate;

[0051] S167, Monitoring and Performance Optimization: During the operation phase, it is necessary to monitor the operation status and performance of the system in real time, and adjust resource allocation and optimization algorithms in a timely manner to ensure the stability and efficiency of the system;

[0052] S168, Integration and Expandability: Considering that the BIM system may need to be integrated with other engineering software or enterprise information systems, the design of the system needs to consider the design of interfaces and expandability to support future changes in business requirements and system function expansion.

[0053] Advantages of the present invention: Through the geometric detection and analysis system in steps S11 and S13, the fitting degree between the manually extracted building model and the real scene model can be accurately detected, including the conformity of geometric shapes, dimensions, and positions, helping to ensure the accuracy and compliance of building design; Based on the analysis system constructed in step S12, it can automatically analyze the distance and error between each plane of the model and the original real scene model, not only improving efficiency but also reducing the possibility of human errors and ensuring the reliability of the analysis results; The step-by-step patch comparison analysis of the three-dimensional real scene model mentioned in step S14 further strengthens the comprehensiveness and meticulousness of the detection. Through this step-by-step patch comparison, minor differences or errors that may exist in the model can be discovered, helping to detect and solve problems early; The quality inspection statistics and evaluation of the real scene model in step S15 provide a comprehensive evaluation and analysis of the model quality, helping to determine the overall quality level of the model and providing a basis for subsequent optimization and improvement; The cloud architecture batch processing system constructed in step S16 makes it more efficient and feasible to process large-scale data and models, not only improving the processing speed but also supporting the simultaneous management and processing of multiple projects, enhancing the overall application effect and scope of application; Acting together on the BIM-based building structure detection method, it can be significantly improved in terms of accuracy, automation level, comprehensiveness, and efficiency, thereby providing powerful support and optimization means for the design, construction, and management stages of the construction industry. Brief Description of the Drawings

[0054] Figure 1 is the flow chart of the present invention;

[0055] Figure 2 It is the geometric detection flow chart in the present invention;

[0056] Figure 3 It is the structural analysis flow chart in the present invention;

[0057] Figure 4 It is the model checking flow chart in the present invention;

[0058] Figure 5 It is the construction analysis system flow chart in the present invention;

[0059] Figure 6 It is the real - scene model quality inspection statistical evaluation flow chart in the present invention;

[0060] Figure 7 It is the construction cloud architecture batch processing system flow chart in the present invention. Specific embodiments

[0061] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below. 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.

[0062] Please refer to Figures 1-7 , the present invention provides a technical solution: a BIM - based building structure detection method, including the following steps:

[0063] S1, Geometric detection, including the following steps:

[0064] S11, Detect whether the manually extracted building model and the real - scene model are tightly fitted, including detecting whether the geometric shape, size, and position of the building meet the design requirements;

[0065] S12, Construct an analysis system; based on the analysis system constructed in step S12, it can automatically analyze the distance and error between each plane of the model and the original real - scene model, which not only improves the efficiency but also reduces the possibility of human errors and ensures the reliability of the analysis results;

[0066] S13, Based on the analysis system constructed in step S12, automatically analyze the average distance and error between each plane of the model and the original real - scene model; through the geometric detection and analysis system in steps S11 and S13, it can accurately detect the fitting degree between the manually extracted building model and the real - scene model, including the compliance of geometric shape, size, and position, and help ensure the accuracy and compliance of the building design;

[0067] S14. Comparative analysis of each patch of the 3D real-scene model based on the analysis system constructed in step S12. The comparative analysis of each patch of the 3D real-scene model mentioned in step S14 further enhances the comprehensiveness and meticulousness of the detection. Through this patch-by-patch comparison, minor differences or errors that may exist in the model can be discovered, which helps to detect and solve problems at an early stage.

[0068] S15. Quality inspection statistics and evaluation of the real-scene model. The quality inspection statistics and evaluation of the real-scene model in step S15 provide a comprehensive assessment and analysis of the model quality, helping to determine the overall quality level of the model and providing a basis for subsequent optimization and improvement.

[0069] S16. Construct a cloud architecture batch processing system. The cloud architecture batch processing system constructed in step S16 makes it more efficient and feasible to process large-scale data and models. It not only improves the processing speed but also supports the simultaneous management and processing of multiple projects, enhancing the overall application effect and scope of application.

[0070] S2. Structural analysis

[0071] S3. Model inspection

[0072] S4. Collision detection: In the process of building design and construction, the BIM model uses the collision detection function to identify possible collisions or conflicts between different components and solve these problems to ensure that each component can be correctly installed and operated.

[0073] They act together on the BIM-based building structure detection method, enabling it to be significantly improved in terms of accuracy, automation level, comprehensiveness, and efficiency, thus providing powerful support and optimization means for the design, construction, and management stages of the construction industry.

[0074] Specifically, it also includes step S5. Material and attribute detection: The BIM model contains information on the materials and attributes of building elements, such as the material strength of walls and the fire rating of floors. Detecting the accuracy and consistency of this information is one of the important contents of BIM detection.

[0075] Specifically, it also includes step S6. Change detection and update: As the construction project progresses, the design may change. The BIM model is used to detect these changes and update and synchronize the model to ensure the consistency between the design and construction.

[0076] Specifically, it also includes step S7. Structural analysis and simulation: The BIM model is connected to structural analysis and simulation tools for more in-depth structural analysis, including force analysis and wind load analysis, to help engineers evaluate the stability and safety of the structure.

[0077] Specifically, it further includes step S8, visualization and report generation: the BIM model generates intuitive visualization images to help users intuitively understand the building structure, and generates a detailed inspection report to record various inspection results and problems, providing a basis for subsequent optimization and repair.

[0078] Specifically, in step S2, the structural analysis includes the following steps:

[0079] S21, obtain the target building model based on BIM; S22, divide the model into regions to obtain multiple building sub-models; steps S21 and S22 realize the refined description and segmentation of the building through obtaining and regionally dividing the building model, making the overall model more operable and analyzable.

[0080] S23, conduct structural analysis on the building sub-models to obtain route structure data and building equipment structure data; structural analysis and optimization: step S23 conducts structural analysis on the building sub-models, including the extraction of route structure data and building equipment structure data, so as to be able to deeply understand the internal structural composition and layout of the building, providing basic data for subsequent planning and optimization.

[0081] S24, according to the data obtained in S23, conduct fire protection line planning to obtain safety line data; step S24 conducts fire protection line planning based on the structural analysis data to generate safety line data, effectively improving the safety management and emergency response capabilities of the building.

[0082] S25, analyze and compare the data obtained in S24 with the preset standard data to obtain building structure correction data; step S25 compares and analyzes the safety line data with the preset standard data to obtain building structure correction data, and this process ensures that the building design and construction comply with the current safety standards and regulatory requirements.

[0083] S26, perform structural optimization and correction on the building model according to the data obtained in S25; step S26 performs structural optimization and correction on the building model according to the correction data, thereby improving the design efficiency and construction quality of the building, and reducing possible structural problems and resource waste.

[0084] The BIM-based building model processing flow effectively improves the accuracy, safety and efficiency of building design, construction and management, providing strong support for the development and innovation of the building industry.

[0085] Specifically, in step S3, the model inspection includes the following steps:

[0086] S31. Receive the building model, conduct a mechanical inspection on it, and determine the safety level. In step S31, by conducting a mechanical inspection on the building model to determine its safety level, this process utilizes the mechanical analysis tool in BIM technology to evaluate the stability and load-bearing capacity of the building structure, ensuring that the design complies with safety standards.

[0087] S32. Generate a sub-model and establish a connection channel with the address book. In step S32, generating a sub-model and establishing a connection channel with the address book means the segmentation and management of the building model for effective information exchange and collaboration.

[0088] S33. Read the address book information, randomly send the sub-model to obtain feedback information, and sort the feedback information. In step S33, read the address book information, randomly send the sub-model to obtain feedback information, and then sort and analyze the feedback information. This process utilizes randomization and sorting algorithms to effectively collect and organize feedback from different stakeholders, providing a basis for subsequent design optimization and decision-making.

[0089] Specifically, in step S12, constructing the analysis system includes the following steps:

[0090] S121. Parametric modeling: Utilize BIM technology to parameterize the geometric information of complex nodes, facilitating the rapid creation and modification of the model.

[0091] S122. Finite element meshing: Automatically generate finite element meshes according to the geometric characteristics of the nodes to ensure the accuracy of calculations.

[0092] S123. Input boundary conditions and loads: Through the GUI interface, users can conveniently set the constraints and loading conditions of the nodes.

[0093] S124. Run the analysis: Use ANSYS APDL to perform finite element solutions and calculate the key indicators of stress, strain, and displacement of the nodes.

[0094] S125. Result post-processing: In the Matlab environment, visually display the analysis results to help engineers understand the stress state of the nodes and potential structural problems.

[0095] Specifically, in step S15, the quality inspection statistics and evaluation of the real-scene model include:

[0096] S151. Geometric accuracy: The geometric accuracy in the BIM model is an important indicator for quality inspection, including the geometric attributes of each component of the building, the size, shape, and position of the structure, which need to be consistent with the actual building design. The quality inspection process will compare the geometric data of the BIM model with the design documents or the actual building to evaluate its consistency and accuracy.

[0097] S152, Information Consistency: The BIM model includes geometric data, attribute information of building elements, material information, and construction details. Quality inspection needs to verify the integrity and consistency of the information in the model to ensure that the attribute data accurately reflects the actual situation;

[0098] S153, Component Association: There are complex association relationships between components in the BIM model, including the connection between walls and floors, and the connection between pipes and equipment. Quality inspection will evaluate whether these association relationships are correctly modeled to ensure the coordination and consistency of the model during design changes or construction stages;

[0099] S154, Model Coordination: The BIM model is usually composed of sub-models in multiple professional fields, including architecture, structure, and mechanical and electrical. Quality inspection will check the coordination between these sub-models to ensure that the professional models can operate without conflicts as a whole;

[0100] S155, Model Visualization and Display Effect: The visualization effect of the BIM model is used for design review and construction management. Quality inspection will evaluate the rendering effect, graphic display quality, and user interface friendliness of the model to ensure that the model can achieve the expected effect in terms of visualization and display;

[0101] S156, Data Management and Version Control: As an information-driven tool, the BIM model includes data management methods, version control mechanisms, and the ability to update and track the model at different stages;

[0102] S157, Performance and Sustainability: The BIM model needs to process a large amount of data and complex calculations in large projects. Quality inspection will evaluate the performance of the model, including running speed and response time, and also consider the sustainability and future expansion possibilities of the model.

[0103] Specifically, in step S16, building a cloud architecture batch processing system includes:

[0104] S161, Requirement Analysis and Function Planning: Clearly define the specific requirements and functions of the system, and the types of batch processing tasks supported, including batch import of model data, batch export of model data, and batch update of model information;

[0105] S162, Select a Suitable Cloud Service Provider: The BIM system usually needs to process a large amount of data and computing tasks. Cloud providers offer rich computing, storage, and database services, and support high availability and scalability;

[0106] S163, Architecture Design: In cloud architecture design, it is necessary to consider how to effectively utilize the services of the cloud platform to support batch processing tasks, including virtual machine instances, container services, serverless architectures, and related database and storage solutions;

[0107] S164, Data Management and Storage: The BIM system involves a large amount of model data and metadata management. Therefore, it is necessary to design a suitable data storage and management solution. The object storage, relational database, and document database provided by the cloud platform are used to store BIM model data and processing results;

[0108] S165, Security and Permission Control: Considering the sensitivity of BIM model data, the system needs to design a sound security policy and permission control mechanism to ensure the confidentiality and integrity of the data;

[0109] S166, Batch Task Scheduling and Execution: The core part of the designed system is the batch task scheduling and execution mechanism, which involves aspects such as task queue management, concurrency control, error handling, and logging, to ensure that tasks can be completed on time with a low error rate;

[0110] S167, Monitoring and Performance Optimization: During the operation stage, it is necessary to monitor the operation status and performance of the system in real time, and adjust the resource configuration and optimization algorithm in a timely manner to ensure the stability and efficiency of the system;

[0111] S168, Integration and Expandability: Considering that the BIM system may need to be integrated with other engineering software or enterprise information systems, the design of the system needs to consider the design of interfaces and expandability to support future changes in business requirements and system function expansion.

[0112] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them.

Claims

1. A BIM-based building structure detection method, characterized in that: It includes the following steps: S1. Geometric detection, which includes the following steps: S11. Detect whether the manually extracted building model and the real scene model are tightly fitted, including detecting whether the geometric shape, size, and position of the building meet the design requirements; S12. Construct an analysis system; S13. Based on the analysis system constructed in step S12, automatically analyze the average distance and error between each plane of the model and the original real scene model; S14. Based on the analysis system constructed in step S12, conduct a patch-by-patch comparison analysis of the 3D real scene model; S15. Quality inspection statistics and evaluation of the real scene model; S16. Construct a cloud architecture batch processing system; S2. Structural analysis; S3. Model inspection; S4. Collision detection: The BIM model uses the collision detection function to identify possible collisions or conflicts between different components.

2. The method for detecting building structures based on BIM according to claim 1, wherein: It also includes step S5, material and attribute detection: The BIM model contains the materials of building elements, attribute information, material strength of walls, and fire protection level of floors.

3. The method for detecting building structures based on BIM according to claim 2, characterized in that: It also includes step S6, change detection and update: The BIM model is used to detect these changes and perform model updates and synchronization to ensure the consistency of design and construction.

4. The method for detecting building structures based on BIM according to claim 3, wherein: It also includes step S7, structural analysis and simulation: The BIM model connects structural analysis and simulation tools to conduct more in-depth structural analysis, including stress analysis and wind load analysis.

5. A BIM-based building structure detection method according to claim 4, characterized in that: It also includes step S8, visualization and report generation: The BIM model generates intuitive visualization images and detailed detection reports to record various detection results and problems.

6. The method for detecting building structures based on BIM according to claim 1, characterized in that: In step S2, the structural analysis includes the following steps: S21. Obtain the target building model based on BIM; S22. Divide the model into regions to obtain multiple building sub-models; S23. Conduct structural analysis on the building sub-models to obtain route structure data and building equipment structure data; S24. According to the data obtained in S23, conduct fire protection line planning to obtain safety line data; S25. Analyze and compare the data obtained in S24 with the preset standard data to obtain building structure correction data; S26. Optimize and correct the building model according to the data obtained in S25.

7. A BIM-based building structure detection method according to claim 1, characterized in that: In step S3, the model inspection includes the following steps: S31. Receive the building model, conduct a mechanical inspection on it, and determine the safety level; S32. Generate a sub-model and establish a connection channel with the address book; S33. Read the address book information, randomly send the sub-model to obtain feedback information, and sort the feedback information.

8. A BIM-based building structure detection method according to claim 1, characterized in that: In step S12, constructing the analysis system includes the following steps: S121. Parametric modeling: Using BIM technology, parameterize the geometric information of complex nodes to facilitate the rapid creation and modification of models; S122. Finite element division: Automatically generate finite element meshes according to the geometric characteristics of the nodes to ensure the accuracy of calculations; S123. Input boundary conditions and loads: Through the GUI interface, users can conveniently set the constraints and loading conditions of the nodes; S124. Run the analysis: Use ANSYS APDL to execute finite element solutions and calculate the key indicators of stress, strain, and displacement of the nodes. S125, Result post - processing: In the Matlab environment, visually display the analysis results to help engineers understand the stress state of the nodes and potential structural problems.

9. The method for detecting building structures based on BIM according to claim 1, wherein: In step S15, the quality inspection statistics and evaluation of the real - scene model include: S151, Geometric accuracy: including geometric attributes such as the size, shape, and position of each component of the building and the structure; S152, Information consistency: The BIM model includes geometric data, attribute information of building elements, material information, and construction details; S153, Component relevance: including the connection between walls and floors, and the connection between pipes and equipment; S154, Model coordination: including architecture, structure, and mechanical and electrical; S155, Model visualization and display effect: The visualization effect of the BIM model is used for design review and construction management. The quality inspection will evaluate the rendering effect of the model, the quality of graphic display, and the friendliness of the user interface; S156, Data management and version control: As an information - driven tool, the BIM model includes the data management method, version control mechanism, and the ability to update and track the model at different stages; S157, Performance and sustainability: including operating speed, response time, and at the same time considering the sustainability of the model and the possibility of future expansion.

10. A BIM-based building structure detection method according to claim 1, characterized in that: In step S16, constructing a cloud - architecture batch - processing system includes: S161, Requirement analysis and function planning: clarify the specific requirements and functions of the system, as well as the types of batch - processing tasks supported; S162, Select a suitable cloud service provider: which provides rich computing, storage, and database services, and at the same time supports high availability and scalability; S163, Architecture design: including virtual machine instances, container services, serverless architecture, and related database and storage solutions; S164, Data management and storage: The object storage, relational database, and document database provided by the cloud platform are used to store BIM model data and processing results; S165, Security and permission control: The system needs to design a sound security policy and permission control mechanism to ensure the confidentiality and integrity of data; S166, Batch task scheduling and execution: involving aspects such as task queue management, concurrency control, error handling, and logging; S167, Monitoring and performance optimization: Real - time monitor the running status and performance of the system, and timely adjust resource allocation and optimize algorithms; S168, Integration and extensibility: The design and extensibility of interfaces to support future changes in business requirements and system function expansion.

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