A virtual simulation experimental teaching and training system for prefabricated buildings

Abstract

This application relates to a virtual simulation experimental teaching and training system for prefabricated buildings, comprising a course introduction module, a practical training case module, a multi-dimensional teaching module, a physics engine module, an AI processing module, and a VR / AR interface module. The course introduction module provides theoretical learning resources; the practical training case module teaches based on real-world cases; the multi-dimensional teaching module enables comprehensive learning from components to the structure; the physics engine module calculates the physical behavior of the building structure; the AI ​​processing module analyzes user behavior and intelligently optimizes the system; and the VR / AR interface module provides an immersive learning environment. This application integrates the impact of forces on the building structure through modular design, analyzes the progress of carbon emissions during construction, and addresses the shortcomings of existing teaching systems.

Description

Technical Field

[0001] This invention relates to the field of educational simulation technology, specifically to a virtual simulation experimental teaching and training system for prefabricated buildings. Background Technology

[0002] In traditional prefabricated building education, teaching activities primarily rely on physical model demonstrations, on-site teaching, and hands-on training. However, these methods have several drawbacks: physical models are costly to produce and cannot fully demonstrate the details of complex building structures and their lifecycle changes; on-site teaching is limited by space and time, making frequent instruction for large groups of students difficult; and hands-on training faces safety risks and material waste, while students cannot gain a comprehensive experience of diverse building structures and technologies within a limited timeframe. Given the continued growth in the construction industry's demand for prefabricated building talent, developing an efficient, safe, low-cost, and content-rich teaching method has become an urgent task.

[0003] Research has revealed that existing prefabricated building teaching systems, such as CN108447335A and CN113205607A, only provide demonstrative simulations. These systems incorporate basic building structural units and construction tools, allowing students to see component shapes and construction process images. However, such simulations fail to capture the impact of various loads (stresses) on the building structure and construction process during actual construction, making them unsuitable for current teaching requirements. Furthermore, the importance of carbon emissions is becoming increasingly significant with the establishment of zero-carbon goals, a factor that existing outdated systems have failed to consider.

[0004] Therefore, there is an urgent need for an innovative teaching system that, based on the teaching characteristics of prefabricated buildings, utilizes computer programming languages ​​and simulation technology to comprehensively introduce the impact of stress on building structures and analyze the development of carbon emissions in construction projects, thereby enhancing the scientific rigor and rationality of the teaching design. Summary of the Invention

[0005] This invention provides a virtual simulation experimental teaching and training system for prefabricated buildings. Through modular design, it integrates the impact of stress on the building structure, analyzes the progress of carbon emissions in construction projects, and solves the shortcomings of existing teaching systems.

[0006] This invention provides a virtual simulation experimental teaching and training system for prefabricated buildings, characterized in that it includes:

[0007] The course introduction module includes an in-class learning sub-module and an out-of-class learning sub-module, which are used to provide theoretical learning resources;

[0008] The practical training case module includes a life-cycle carbon emission calculation submodule and a fully assembled wall panel structure design and installation interactive submodule, which are used for teaching based on actual cases.

[0009] The multi-dimensional teaching module includes a prefabricated component library sub-module, a typical dry connection beam-column node sub-module, and a fully assembled wall panel structure sub-module, which are used to realize comprehensive teaching from components to structures.

[0010] The physics engine module is used to calculate the physical behavior of building structures, including structural mechanics simulation, collision detection, and material deformation.

[0011] The AI ​​processing module is used to analyze user behavior, predict performance, and intelligently optimize operations.

[0012] VR / AR interface modules are used to provide immersive learning environments and enhance the intuitiveness and interactivity of learning.

[0013] Furthermore, the life-cycle carbon emission calculation submodule includes:

[0014] The calculation model unit provides a variety of carbon emission models and supports custom settings. The calculation model unit is based on the life cycle assessment (LCA) method to calculate the carbon emissions of a building from the production, transportation, construction, operation and maintenance to demolition stages.

[0015] The calculation method unit guides the user through the calculation process; the calculation method unit calculates the carbon emissions at each stage using carbon emission factors, specifically including:

[0016] S1. Formula for calculating carbon emissions during the production phase: Where F i It is the carbon emission factor of the i-th material, in kg / m³. 3 W i It is the mass or volume of the i-th material, in meters. 3 ;

[0017] S2. Formula for calculating carbon emissions during the transportation phase: Where F i W is the carbon emission factor for the i-th mode of transport, in kg / (t*km); i It is the mass of the i-th material, in tons (t); L i It is the distance for transporting the i-th type of material, in km;

[0018] S3. Formula for calculating carbon emissions during the construction phase: Where F i n The carbon emission factor of the i-th type of construction tool is expressed in kg / shift (N). iF represents the number of shifts for the i-th type of construction tool. i c C is the carbon emission factor of the i-th fuel, in kg / kg. i This represents the amount of fuel used, in kg; F i h The carbon emission factor for the i-th type of construction work is expressed in kg / day; H i It refers to the workdays for the i-th type of construction work, in days;

[0019] S4. Formula for calculating carbon emissions during the operation and maintenance phase: E m =∑(a*C e +b*C w +O i ), where a is the carbon emission factor of electricity, in kg / kWh; Ce is the electricity consumption, in kWh; b is the carbon emission factor of tap water, in kg / kg; Cw is the water consumption; O i It is the carbon emissions of other materials;

[0020] S5. Formula for calculating carbon emissions during the demolition phase:

[0021] Where E m This refers to the carbon emissions during the dismantling phase of prefabricated buildings, measured in kg; F. i m W is the carbon emission factor for the i-th mode of transport, in kg / (t*km); i m It is the mass of the i-th material, in tons (t); L i m F is the distance for transporting the i-th material, in km; i mn The carbon emission factor of the i-th demolition tool is expressed in kg / shift (N). i m F represents the number of shifts for the i-th type of demolition tool. i mc C is the carbon emission factor of the i-th fuel, in kg / kg. i m This is the amount of fuel used, in kg; F i mh The carbon emission factor for the i-th demolition job is expressed in kg / day; H i m It refers to the workdays for the i-th type of demolition work, in days;

[0022] The calculation results unit displays the calculation results and supports data export. The calculation results unit shows the carbon emissions and their proportions at each stage through visual charts.

[0023] The evaluation standard unit provides evaluation standards for carbon emission analysis, which are optimized based on national standards and local resource consumption data.

[0024] Furthermore, the fully assembled wall panel structure design and installation interaction submodule includes:

[0025] The physical simulation unit is used to simulate the mechanical behavior and material deformation during the construction process based on the physics engine. The physical simulation unit calculates the stress, strain and deformation distribution of building components under load in real time through the finite element analysis method, and supports dynamic adjustment of simulation parameters.

[0026] The environmental simulation unit is used to simulate the impact of environmental factors on construction during the construction process. The environmental simulation unit simulates wind load distribution through fluid dynamics and generates seismic response spectrum through seismic wave simulation module to provide real-time feedback on the impact of environmental factors on building structure.

[0027] The AI-assisted unit is used to detect the compliance of construction operations in real time through AI technology and generate dynamic prompts based on preset construction rules. The AI-assisted unit analyzes user operation data based on deep learning algorithms, generates personalized optimization suggestions, and dynamically adjusts construction rules through reinforcement learning algorithms.

[0028] Virtual construction scenario units simulate the entire assembly process from foundation construction to maintenance structure.

[0029] Furthermore, the interaction steps of each component unit of the fully assembled wall panel structure design and installation interaction submodule are as follows:

[0030] S11. The user selects the basic construction module in the virtual scene. The system generates the basic outline by measuring with a laser level and monitors the earthwork excavation progress and load limits in real time. The physical simulation unit simulates the mechanical behavior during the earthwork excavation process, the environmental simulation unit simulates the impact of wind load on the stability of the earthwork during the excavation process, and the AI ​​auxiliary unit provides optimization suggestions based on the user's operation.

[0031] S21. During the construction of the ground beam foundation, the user obtains component information by scanning a virtual QR code, and the system detects the bolt installation height and verticality; the physical simulation unit simulates the mechanical response during the bolt installation process, the environmental simulation unit simulates the impact of seismic response on the stability of the ground beam, and the AI-assisted unit detects the compliance of the bolt installation in real time and provides error correction prompts.

[0032] S31. During the installation of wall panels and structural columns, the system verifies the bolt preload and corner connection process in real time; the physical simulation unit simulates the material deformation at the connection between the wall panel and the structural column, the environmental simulation unit simulates the impact of wind load on the stability of the wall panel, and the AI-assisted unit generates optimization suggestions based on user operations.

[0033] S41. During the installation of ring beams, floor slabs, and the second-floor structure, the system detects the splicing process and structural stability; the physical simulation unit simulates the mechanical behavior during the splicing process of ring beams and floor slabs, the environmental simulation unit simulates the impact of seismic response on structural stability, and the AI-assisted unit detects the compliance of the splicing process in real time and provides optimization suggestions;

[0034] S51. During the decoration and maintenance phase, the system verifies whether the material selection and construction effect meet the design requirements; the physical simulation unit simulates the mechanical properties of the decoration materials, the environmental simulation unit simulates the impact of temperature changes on the decoration effect, and the AI-assisted unit provides optimization suggestions for material selection and construction effect based on user operations.

[0035] Furthermore, the physics engine module is used to simulate the physical behavior of building structures, including:

[0036] The mechanical calculation unit is used to simulate the mechanical response of a building structure under load. The mechanical calculation unit calculates the stress, strain and deformation distribution of building components under load in real time using the finite element analysis method.

[0037] A collision detection unit is used to detect collisions between building components. The collision detection unit uses a spatial segmentation algorithm (such as BVH tree) to detect contact and collisions between components in real time.

[0038] The material deformation element is used to simulate the deformation behavior of building materials under stress conditions. The material deformation element simulates the elastic, plastic and fracture behavior of materials based on a constitutive model.

[0039] The Physics Engine Interface Unit is used to integrate physics engines such as Unity3D and Unreal Engine, supporting real-time simulation and interaction.

[0040] Furthermore, the VR / AR interface module includes:

[0041] The VR interaction unit is used to enable users to operate and interact in real time in a virtual construction site through a VR headset. The VR interaction unit realizes the interaction between the user and the virtual scene through controller tracking and gesture recognition technology.

[0042] AR display unit is used to overlay virtual building models onto the real environment using AR devices, supporting real-time design and modification;

[0043] An immersive experience unit is used to enhance the user's immersive learning experience through VR / AR technology. The AR display unit uses SLAM technology to achieve precise alignment between the virtual model and the real environment.

[0044] Furthermore, the AI ​​processing module includes:

[0045] The user behavior analysis unit is used to analyze users' operating habits through machine learning algorithms and generate personalized learning paths. The user behavior analysis unit analyzes user operation data based on convolutional neural networks (CNN) and long short-term memory networks (LSTM).

[0046] The performance prediction unit is used to predict the performance of building structures under different conditions using AI algorithms. The performance prediction unit generates performance prediction models based on support vector machine (SVM) and random forest algorithms.

[0047] The intelligent optimization unit is used to automatically optimize the architectural design scheme based on the simulation results. The intelligent optimization unit generates the optimization scheme based on the genetic algorithm and the particle swarm optimization algorithm.

[0048] Furthermore, it provides zoom in and zoom out functions for the node image display unit, as well as the ability to view local details, to enhance the user's understanding of the node structure.

[0049] On the other hand, this application also claims protection for an electronic device,

[0050] The electronic device includes: one or more processors;

[0051] Memory; and

[0052] One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to run the system described in any of the preceding claims.

[0053] Furthermore, this application also claims protection for a computer-readable storage medium.

[0054] It stores a computer program, which is loaded by a processor to run the system described in any of the preceding claims.

[0055] Compared with existing technologies, the virtual simulation experimental teaching and training system for prefabricated buildings of this invention has the following beneficial effects:

[0056] 1. It provides a multi-module interactive platform that integrates theoretical learning, practical operation, and effect verification, effectively improving teaching effectiveness;

[0057] 2. Supports flexible interaction and visual presentation, enhancing the intuitiveness of learning;

[0058] 3. By calculating carbon emissions throughout the entire life cycle and combining this with green building concepts, students' environmental awareness can be cultivated.

[0059] 4. Online teaching systems overcome the limitations of location and time, reducing teaching costs and security risks. Attached Figure Description

[0060] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0061] Figure 1 This is a system functional module distribution diagram of a virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention.

[0062] Figure 2 This is a flowchart illustrating the interactive module simulation construction process of an embodiment of a virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention.

[0063] Figure 3 This is a flowchart illustrating the carbon emission calculation process of an interactive module in an embodiment of a virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention.

[0064] Figure 4 This is a flowchart illustrating the usage guidelines for a virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention.

[0065] Figure 5 A schematic diagram of an electronic device for running a virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention.

[0066] Figure 6 This is a demonstration diagram of the user interface for running the virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention.

[0067] Figure 7 This is a demonstration diagram of the user interface for running the virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention.

[0068] Figure 8 This is a demonstration diagram of the user interface for running the virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention.

[0069] Figure 9 This is a demonstration diagram of the user interface for running the virtual simulation experimental teaching and training system for prefabricated buildings according to the present invention. Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0071] 1. A virtual simulation experimental teaching and training system for prefabricated buildings, characterized in that it comprises:

[0072] The course introduction module includes an in-class learning sub-module and an out-of-class learning sub-module, which are used to provide theoretical learning resources;

[0073] The practical training case module includes a life-cycle carbon emission calculation submodule and a fully assembled wall panel structure design and installation interactive submodule, which are used for teaching based on actual cases.

[0074] The multi-dimensional teaching module includes a prefabricated component library sub-module, a typical dry connection beam-column node sub-module, and a fully assembled wall panel structure sub-module, which are used to realize comprehensive teaching from components to structures.

[0075] The physics engine module is used to calculate the physical behavior of building structures, including structural mechanics simulation, collision detection, and material deformation.

[0076] The AI ​​processing module is used to analyze user behavior, predict performance, and intelligently optimize operations.

[0077] VR / AR interface modules are used to provide immersive learning environments and enhance the intuitiveness and interactivity of learning.

[0078] In this application, the life-cycle carbon emission calculation submodule includes:

[0079] The calculation model unit provides a variety of carbon emission models and supports custom settings. The calculation model unit is based on the life cycle assessment (LCA) method to calculate the carbon emissions of a building from the production, transportation, construction, operation and maintenance to demolition stages.

[0080] The calculation method unit guides the user through the calculation process; the calculation method unit calculates the carbon emissions at each stage using carbon emission factors, specifically including:

[0081] S1. Formula for calculating carbon emissions during the production phase: Where F i It is the carbon emission factor of the i-th material, in kg / m³.3 W i It is the mass or volume of the i-th material, in meters. 3 ;

[0082] S2. Formula for calculating carbon emissions during the transportation phase: Where F i W is the carbon emission factor for the i-th mode of transport, in kg / (t*km); i It is the mass of the i-th material, in tons (t); L i It is the distance for transporting the i-th type of material, in km;

[0083] S3. Formula for calculating carbon emissions during the construction phase: Where F i n The carbon emission factor of the i-th type of construction tool is expressed in kg / shift (N). i F represents the number of shifts for the i-th type of construction tool. i c C is the carbon emission factor of the i-th fuel, in kg / kg. i This is the amount of fuel used, in kg; F i h The carbon emission factor for the i-th type of construction work is expressed in kg / day; H i It refers to the workdays for the i-th type of construction work, in days;

[0084] S4. Formula for calculating carbon emissions during the operation and maintenance phase: E m =∑(a*C e +b*C w +O i ), where a is the carbon emission factor of electricity, in kg / kWh; Ce is the electricity consumption, in kWh; b is the carbon emission factor of tap water, in kg / kg; Cw is the water consumption; O i It is the carbon emissions of other materials;

[0085] S5. Formula for calculating carbon emissions during the demolition phase:

[0086] Where E m This refers to the carbon emissions during the dismantling phase of prefabricated buildings, measured in kg; F. i m W is the carbon emission factor for the i-th mode of transport, in kg / (t*km); i m It is the mass of the i-th material, in tons (t); L i m F is the distance for transporting the i-th material, in km; imn The carbon emission factor of the i-th demolition tool is expressed in kg / shift (N). i m F represents the number of shifts for the i-th type of demolition tool. i mc C is the carbon emission factor of the i-th fuel, in kg / kg. i m This is the amount of fuel used, in kg; F i mh The carbon emission factor for the i-th demolition job is expressed in kg / day; H i m It refers to the workdays for the i-th type of demolition work, in days;

[0087] The calculation results unit displays the calculation results and supports data export. The calculation results unit shows the carbon emissions and their proportions at each stage through visual charts.

[0088] The evaluation standard unit provides evaluation standards for carbon emission analysis, which are optimized based on national standards and local resource consumption data.

[0089] In this application, the fully assembled wall panel structure design and installation interaction submodule includes:

[0090] The physical simulation unit is used to simulate the mechanical behavior and material deformation during the construction process based on the physics engine. The physical simulation unit calculates the stress, strain and deformation distribution of building components under load in real time through the finite element analysis method, and supports dynamic adjustment of simulation parameters.

[0091] The environmental simulation unit is used to simulate the impact of environmental factors on construction during the construction process. The environmental simulation unit simulates wind load distribution through fluid dynamics and generates seismic response spectrum through seismic wave simulation module to provide real-time feedback on the impact of environmental factors on building structure.

[0092] The AI-assisted unit is used to detect the compliance of construction operations in real time through AI technology and generate dynamic prompts based on preset construction rules. The AI-assisted unit analyzes user operation data based on deep learning algorithms, generates personalized optimization suggestions, and dynamically adjusts construction rules through reinforcement learning algorithms.

[0093] Virtual construction scenario units simulate the entire assembly process from foundation construction to maintenance structure.

[0094] In this application, the interaction steps of each component unit of the fully assembled wall panel structure design and installation interaction submodule are as follows:

[0095] S11. The user selects the basic construction module in the virtual scene. The system generates the basic outline by measuring with a laser level and monitors the earthwork excavation progress and load limits in real time. The physical simulation unit simulates the mechanical behavior during the earthwork excavation process, the environmental simulation unit simulates the impact of wind load on the stability of the earthwork during the excavation process, and the AI ​​auxiliary unit provides optimization suggestions based on the user's operation.

[0096] S21. During the construction of the ground beam foundation, the user obtains component information by scanning a virtual QR code, and the system detects the bolt installation height and verticality; the physical simulation unit simulates the mechanical response during the bolt installation process, the environmental simulation unit simulates the impact of seismic response on the stability of the ground beam, and the AI-assisted unit detects the compliance of the bolt installation in real time and provides error correction prompts.

[0097] S31. During the installation of wall panels and structural columns, the system verifies the bolt preload and corner connection process in real time; the physical simulation unit simulates the material deformation at the connection between the wall panel and the structural column, the environmental simulation unit simulates the impact of wind load on the stability of the wall panel, and the AI-assisted unit generates optimization suggestions based on user operations.

[0098] S41. During the installation of ring beams, floor slabs, and the second-floor structure, the system detects the splicing process and structural stability; the physical simulation unit simulates the mechanical behavior during the splicing process of ring beams and floor slabs, the environmental simulation unit simulates the impact of seismic response on structural stability, and the AI-assisted unit detects the compliance of the splicing process in real time and provides optimization suggestions;

[0099] S51. During the decoration and maintenance phase, the system verifies whether the material selection and construction effect meet the design requirements; the physical simulation unit simulates the mechanical properties of the decoration materials, the environmental simulation unit simulates the impact of temperature changes on the decoration effect, and the AI-assisted unit provides optimization suggestions for material selection and construction effect based on user operations.

[0100] In this application, the physics engine module is used to simulate the physical behavior of building structures, including:

[0101] The mechanical calculation unit is used to simulate the mechanical response of a building structure under load. The mechanical calculation unit calculates the stress, strain and deformation distribution of building components under load in real time using the finite element analysis method.

[0102] A collision detection unit is used to detect collisions between building components. The collision detection unit uses a spatial segmentation algorithm (such as BVH tree) to detect contact and collisions between components in real time.

[0103] The material deformation element is used to simulate the deformation behavior of building materials under stress conditions. The material deformation element simulates the elastic, plastic and fracture behavior of materials based on a constitutive model.

[0104] The Physics Engine Interface Unit is used to integrate physics engines such as Unity3D and Unreal Engine, supporting real-time simulation and interaction.

[0105] In this application, the VR / AR interface module includes:

[0106] The VR interaction unit is used to enable users to operate and interact in real time in a virtual construction site through a VR headset. The VR interaction unit realizes the interaction between the user and the virtual scene through controller tracking and gesture recognition technology.

[0107] AR display unit is used to overlay virtual building models onto the real environment using AR devices, supporting real-time design and modification;

[0108] An immersive experience unit is used to enhance the user's immersive learning experience through VR / AR technology. The AR display unit uses SLAM technology to achieve precise alignment between the virtual model and the real environment.

[0109] In this application, the AI ​​processing module includes:

[0110] The user behavior analysis unit is used to analyze users' operating habits through machine learning algorithms and generate personalized learning paths. The user behavior analysis unit analyzes user operation data based on convolutional neural networks (CNN) and long short-term memory networks (LSTM).

[0111] The performance prediction unit is used to predict the performance of building structures under different conditions using AI algorithms. The performance prediction unit generates performance prediction models based on support vector machine (SVM) and random forest algorithms.

[0112] The intelligent optimization unit is used to automatically optimize the architectural design scheme based on the simulation results. The intelligent optimization unit generates the optimization scheme based on the genetic algorithm and the particle swarm optimization algorithm.

[0113] This application provides zoom in / out functionality for the node image display unit, as well as the ability to view local details, to enhance the user's understanding of the node structure.

[0114] The present application will be further described below with reference to embodiments, such as... Figure 1As shown, the virtual simulation experimental teaching and training system for prefabricated buildings of this invention includes: course introduction, training cases, and multi-dimensional teaching; the course introduction module includes: in-class learning and out-of-class learning; the in-class learning module includes: course details, course content, and material downloads; the out-of-class learning module includes: post-class assessment, course evaluation, and extended information; the training case module includes: life-cycle carbon emission calculation, and interactive design and installation of fully prefabricated wall panel structures; the multi-dimensional teaching module includes: prefabricated component library, typical dry connection beam-column nodes, and fully prefabricated wall panel structures.

[0115] The course details module outlines the course content in chapters, highlighting key points and challenging sections.

[0116] The course content modules are categorized into basic, intermediate, and advanced levels, and relevant case studies are provided to aid understanding.

[0117] The document download module categorizes and manages downloaded documents, including design specifications, construction manuals, research reports, and other categories, and supports search and preview functions.

[0118] The after-class assessment module generates test questions of varying difficulty levels based on the content of the knowledge point modules, and provides detailed answer explanations and statistical analysis of incorrect answers after the user completes the test.

[0119] The course evaluation module supports users in submitting evaluations in various ways, such as text, ratings, and voice. It also provides an interactive platform that allows users to comment and exchange ideas, promoting the sharing and discussion of viewpoints.

[0120] The extended information section is updated in real time via network connection, comprehensively covering the latest developments in the prefabricated building field; at the same time, this section also includes a wealth of extracurricular learning resources to support users' continuous learning and knowledge updates in the field of prefabricated buildings.

[0121] like Figure 2 As shown, the life-cycle carbon emission calculation module includes the following steps: Calculation model, providing multiple optional carbon emission calculation models for users to choose or customize according to project needs; Calculation method, guiding users to perform carbon emission calculations, facilitating quick mastery of the carbon emission calculation process, providing clear operation instructions, and lowering the barrier to entry; Calculation results, displaying the carbon emission results calculated by the user, supporting export in multiple data formats for easy subsequent analysis and application; Evaluation criteria, providing relevant evaluation criteria for carbon emission analysis, allowing users to refer to authoritative carbon emission evaluation standards, ensuring the scientific validity and compliance of the calculation results.

[0122] The interactive operation module of the fully assembled wall panel structure design and installation interactive module can detect user operation steps in real time and provide correct operation prompts and error correction guidance according to preset rules, such as... Figure 3 As shown, taking a two-story villa model house as an example, its simulation process includes the following 10 steps:

[0123] S1. The user selects the "Foundation Construction" module in the system, and the system displays a virtual scene of the construction site. The user operates the system via mouse or touchscreen, selecting a laser level to survey the foundation outline. The system automatically generates the building foundation outline based on the user's actions and prompts the user to begin earthwork excavation. The user selects an excavator to perform virtual earthwork excavation, and the system displays the excavation progress in real time, prompting the user to pile the excavated soil at a designated location. The system checks against preset earthwork load limits; if the user exceeds the limits, the system displays an error message and guides the user to adjust the operation. The user performs foundation compaction, and the system monitors the flatness and density of the foundation in real time to ensure no uneven settlement. If the foundation does not meet construction requirements, the system prompts the user to recompact it.

[0124] S2. When the user enters the "Ground Beam Foundation Construction" module, the system will display the precast ground beam foundation components with convex cross-sections. The user obtains basic information about the components by scanning a virtual QR code label. The user selects the ground beam foundation component for hoisting, and the system will prompt the user to backfill the earthwork and install the pre-embedded bolts. The user needs to use virtual tools to correct the bolt height and adjust the verticality. The system will monitor the user's operations in real time and provide correct operation prompts.

[0125] S3. When the user enters the "Wall Panel and Structural Column Installation" module, the system will display a virtual scene of the first-floor wall panels and structural columns. The user locates the wall panels and structural columns according to the component codes, and the system will prompt the user for the installation position on the foundation;

[0126] When a user selects a wall panel for virtual hoisting, the system will prompt the user to use a pre-set torque wrench to set the bolt preload. The user must follow the system prompts to connect the wall panel to the foundation. The system will monitor the bolt preload in real time, and if it does not meet the requirements, the system will prompt an error and guide the user to adjust it. When the user connects the wall panel to the structural column at the corner, the system will prompt the user to install it according to the preset construction process. After the user completes the installation of one layer of wall panels and structural columns, the system will check the overall structure to ensure that the installation is correct.

[0127] S4. When the user enters the "Ring Beam Installation" module, the system will display a virtual scene of the first-floor ring beams. The user selects a ring beam for virtual hoisting, and the system will prompt the user to connect the ring beam to the wall panel. When connecting beams to beams, the system will prompt the user to use a double-sided splicing plate connection process. The user needs to pre-embed steel plates at the beam ends and then connect them by splicing the steel plates. The system will monitor the accuracy of the splicing in real time. If the splicing does not meet the requirements, the system will prompt an error and guide the user to make adjustments. After the user completes the installation of the first-floor ring beams, the system will perform an overall structural inspection to ensure correct installation.

[0128] S5. When the user enters the "Floor Slab Installation" module, the system will display a virtual scene of the second-floor slab. The user selects the floor slab for virtual hoisting, and the system will prompt the user to connect the floor slab to the first-floor ring beam. When the user connects floor slabs to each other, the system will monitor the accuracy of the connections in real time. If the connections do not meet the requirements, the system will display an error message and guide the user to make adjustments. After the user completes the installation of the second-floor slab, the system will perform an overall structural inspection to ensure correct installation.

[0129] S6. When the user enters the "Installation of Second-Floor Wall Panels and Structural Columns" module, the system will display a virtual scene of the second-floor wall panels and structural columns. The user performs virtual operations according to the installation process of the first-floor wall panels. The system will detect the user's operation steps in real time and provide correct operation prompts. After the user completes the installation of the second-floor wall panels and structural columns, the system will perform an overall structural inspection to ensure that the installation is correct.

[0130] S7. When the user enters the "Second-floor ring beam installation" module, the system will display a virtual scene of the second-floor ring beam. The user performs virtual operations according to the installation process of the first-floor ring beam. The system will detect the user's operation steps in real time and provide correct operation prompts. After the user completes the installation of the second-floor ring beam, the system will perform an overall structural inspection to ensure that the installation is correct.

[0131] S8. When a user enters the "Roof Slab Installation" module, the system will display a virtual scene of the roof slab. The user will perform virtual operations according to the installation process of the second-floor slab. The system will detect the user's operation steps in real time and provide correct operation prompts. After the user completes the installation of the roof slab, the system will perform an overall structural inspection to ensure that the installation is correct.

[0132] S9. When a user enters the "Decoration and Construction" module, the system will display virtual scenes of the exterior and interior. The user selects decoration materials and performs virtual operations. The system will then prompt the user to carry out exterior decoration and interior insulation treatment. After the user completes the decoration operation, the system will perform an overall effect check to ensure that the decoration meets the design requirements.

[0133] S10. When the user enters the "Maintenance Structure and Greenery" module, the system will display a virtual scene of outdoor roads and greenery. The user selects a maintenance structure to perform virtual operations, and the system will prompt the user to carry out road paving and outdoor greenery construction. After the user completes the maintenance structure and greenery operations, the system will perform an overall effect check to ensure that the construction meets the design requirements.

[0134] The prefabricated component library module stores component data including dimensions, mechanical properties, applicable building scenarios, and manufacturing process information. In addition, this module also stores 3D models of prefabricated components, which support 360-degree rotation and zoom-in / zoom-out functions to allow users to view component details.

[0135] The image display unit of the typical dry connection beam-column node module allows users to zoom in, zoom out, rotate, and view local details of the images, facilitating in-depth observation of the beam-column nodes.

[0136] The video teaching unit of the fully assembled wall panel structure module supports video pause, fast forward, rewind, zoom in, zoom out, and loop playback to meet different user viewing needs.

[0137] like Figure 4 As shown, the specific usage method of a virtual simulation experimental teaching and training system for prefabricated buildings includes the following steps:

[0138] 1) User registration and login;

[0139] 2) Select the required modules for the virtual simulation experimental teaching and training system for prefabricated buildings;

[0140] 3) To engage in course learning or practical training;

[0141] 4) Conduct after-class assessments using after-class quizzes;

[0142] 5) Evaluate your own learning progress.

[0143] In addition, this application also includes some screenshots of the training system, see [link / reference]. Figure 6-9 For reference only.

[0144] In another embodiment of this application, see Figure 5 This application also provides an electronic device, specifically:

[0145] The electronic device may include components such as a processor with one or more processing cores, a memory of one or more computer-readable storage media, a power supply, and an input unit. Among them:

[0146] The processor is the control center of the electronic device. It connects all parts of the electronic device via various interfaces and lines, and performs various functions and processes data by running or executing software programs and / or modules stored in memory, and by calling data stored in memory, thereby providing overall monitoring of the electronic device. Optionally, the processor may include one or more processing cores; the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor. Preferably, the processor may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the aforementioned modem processor may also not be integrated into the processor.

[0147] Memory can be used to store software programs and modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory. Memory can primarily include a program storage area and a data storage area. The program storage area can store the operating system, application programs required for at least one function (such as sound playback, image playback, etc.), etc.; the data storage area can store data created based on the use of the electronic device. Furthermore, memory can include high-speed random access memory, and can also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, memory can also include a memory controller to provide the processor with access to the memory.

[0148] The electronic device also includes a power supply for powering the various components. Preferably, the power supply can be connected to the processor logic through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply may also include one or more DC or AC power sources, a recharging system, a power fault detection circuit, a power converter or inverter, a power status indicator, or any other components.

[0149] The electronic device may also include an input unit that can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0150] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor in the electronic device loads the executable files corresponding to the processes of one or more applications into the memory according to the following instructions, and the processor runs the applications stored in the memory to realize various functions.

[0151] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0152] In some embodiments of this application, a computer-readable storage medium is also provided, which may include: a read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk, etc. A computer program is stored thereon, which is loaded by a processor to execute the steps in the order processing method provided in the embodiments of this application.

[0153] 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 foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A virtual simulation experimental teaching and training system for prefabricated buildings, characterized in that, include: The course introduction module includes an in-class learning sub-module and an out-of-class learning sub-module, which are used to provide theoretical learning resources; The practical training case module includes a life-cycle carbon emission calculation submodule and a fully assembled wall panel structure design and installation interactive submodule, which are used for teaching based on actual cases. The multi-dimensional teaching module includes a prefabricated component library sub-module, a typical dry connection beam-column node sub-module, and a fully assembled wall panel structure sub-module, which are used to realize comprehensive teaching from components to structures. The physics engine module is used to calculate the physical behavior of building structures, including structural mechanics simulation, collision detection, and material deformation. The AI ​​processing module is used to analyze user behavior, predict performance, and intelligently optimize operations. VR / AR interface modules are used to provide immersive learning environments and enhance the intuitiveness and interactivity of learning; The fully assembled wall panel structure design and installation interactive submodule includes: The physical simulation unit is used to simulate the mechanical behavior and material deformation during the construction process based on the physics engine. The physical simulation unit calculates the stress, strain and deformation distribution of building components under load in real time through the finite element analysis method, and supports dynamic adjustment of simulation parameters. The environmental simulation unit is used to simulate the impact of environmental factors on construction during the construction process. The environmental simulation unit simulates wind load distribution through fluid dynamics and generates seismic response spectrum through seismic wave simulation module to provide real-time feedback on the impact of environmental factors on building structure. The AI-assisted unit is used to detect the compliance of construction operations in real time through AI technology and generate dynamic prompts based on preset construction rules. The AI-assisted unit analyzes user operation data based on deep learning algorithms, generates personalized optimization suggestions, and dynamically adjusts construction rules through reinforcement learning algorithms. Virtual construction scenario units simulate the entire assembly process from foundation construction to maintenance structure; The interaction steps of each component unit of the fully assembled wall panel structure design and installation interaction submodule are as follows: S11. The user selects the basic construction module in the virtual scene. The system generates the basic outline by measuring with a laser level and monitors the earthwork excavation progress and load limits in real time. The physical simulation unit simulates the mechanical behavior during the earthwork excavation process, the environmental simulation unit simulates the impact of wind load on the stability of the earthwork during the excavation process, and the AI-assisted unit provides optimization suggestions based on the user's operation. S21. During the construction of the ground beam foundation, the user obtains component information by scanning a virtual QR code, and the system detects the bolt installation height and verticality; the physical simulation unit simulates the mechanical response during the bolt installation process, the environmental simulation unit simulates the impact of seismic response on the stability of the ground beam, and the AI-assisted unit detects the compliance of the bolt installation in real time and provides error correction prompts. S31. During the installation of wall panels and structural columns, the system verifies the bolt preload and corner connection process in real time; the physical simulation unit simulates the material deformation at the connection between the wall panel and the structural column, the environmental simulation unit simulates the impact of wind load on the stability of the wall panel, and the AI-assisted unit generates optimization suggestions based on user operations. S41. During the installation of ring beams, floor slabs, and the second-floor structure, the system detects the splicing process and structural stability; the physical simulation unit simulates the mechanical behavior during the splicing process of ring beams and floor slabs, the environmental simulation unit simulates the impact of seismic response on structural stability, and the AI-assisted unit detects the compliance of the splicing process in real time and provides optimization suggestions; S51. During the decoration and maintenance phase, the system verifies whether the material selection and construction effect meet the design requirements; the physical simulation unit simulates the mechanical properties of the decoration materials, the environmental simulation unit simulates the impact of temperature changes on the decoration effect, and the AI-assisted unit provides optimization suggestions for material selection and construction effect based on user operations.

2. The virtual simulation experimental teaching and training system for prefabricated buildings according to claim 1, characterized in that, The life-cycle carbon emission calculation submodule includes: The calculation model unit provides a variety of carbon emission models and supports custom settings. The calculation model unit is based on the life cycle assessment (LCA) method to calculate the carbon emissions of a building from the production, transportation, construction, operation and maintenance to demolition stages. The calculation method unit guides the user through the calculation process; the calculation method unit calculates the carbon emissions at each stage using carbon emission factors, specifically including: S1. Formula for calculating carbon emissions during the production phase: F i It is the carbon emission factor of the i-th material, in kg / m³. 3 W i It is the mass or volume of the i-th material, in meters. 3 ; S2. Formula for calculating carbon emissions during the transportation phase: F i W is the carbon emission factor for the i-th mode of transport, in kg / (t*km); i L is the mass of the i-th material, in tons (t). i It is the distance for transporting the i-th type of material, in km; S3. Formula for calculating carbon emissions during the construction phase: F i n The carbon emission factor of the i-th construction tool is expressed in kg / shift (N). i F represents the number of shifts for the i-th type of construction tool. i c The carbon emission factor for the i-th fuel is expressed in kg / kg; C i This represents the amount of fuel used, in kg; F i h H is the carbon emission factor for the i-th type of construction work, in kg / day. i It represents the man-days for the i-th type of construction work, in days. S4. Formula for calculating carbon emissions during the operation and maintenance phase: Where 'a' is the carbon emission factor of electricity, in kg / kWh; 'Ce' is the electricity consumption, in kWh; 'b' is the carbon emission factor of tap water, in kg / kg; 'Cw' is the water consumption; and 'O' is the carbon emission factor of tap water. i It is the carbon emissions of other materials; S5. Formula for calculating carbon emissions during the demolition phase: E m This refers to the carbon emissions during the dismantling phase of prefabricated buildings, measured in kg and F. i m W is the carbon emission factor for the i-th mode of transport, in kg / (t*km). i m It represents the mass of the i-th material, in tons (t); liters (L). i m F is the distance for transporting the i-th material, in km; i mn The carbon emission factor of the i-th demolition tool is expressed in kg / shift (N). i m F represents the number of shifts for the i-th type of demolition tool. i mc It is the carbon emission factor of the i-th fuel, in kg / kg; C i m This represents the amount of fuel used, in kg; F i mh The carbon emission factor for the i-th demolition job is expressed in kg / day; H. i m It refers to the workdays for the i-th type of demolition work, in days; The calculation results unit displays the calculation results and supports data export. The calculation results unit shows the carbon emissions and their proportions at each stage through visual charts. The evaluation standard unit provides evaluation standards for carbon emission analysis, which are optimized based on national standards and local resource consumption data.

3. The virtual simulation experimental teaching and training system for prefabricated buildings according to claim 1, characterized in that, The physics engine module is used to simulate the physical behavior of building structures, including: The mechanical calculation unit is used to simulate the mechanical response of a building structure under load. The mechanical calculation unit calculates the stress, strain and deformation distribution of building components under load in real time using the finite element analysis method. A collision detection unit is used to detect collisions between building components. The collision detection unit uses a spatial segmentation algorithm to detect contact and collisions between components in real time. The material deformation element is used to simulate the deformation behavior of building materials under stress conditions. The material deformation element simulates the elastic, plastic and fracture behavior of materials based on a constitutive model. The Physics Engine Interface Unit is used to integrate the Unity3D and Unreal Engine physics engines, supporting real-time simulation and interaction.

4. The virtual simulation experimental teaching and training system for prefabricated buildings according to claim 1, characterized in that, The VR / AR interface module includes: The VR interaction unit is used to enable users to operate and interact in real time in a virtual construction site through a VR headset. The VR interaction unit realizes the interaction between the user and the virtual scene through controller tracking and gesture recognition technology. AR display unit is used to overlay virtual building models onto the real environment using AR devices, supporting real-time design and modification; An immersive experience unit is used to enhance the user's immersive learning experience through VR / AR technology. The AR display unit uses SLAM technology to achieve precise alignment between the virtual model and the real environment.

5. The virtual simulation experimental teaching and training system for prefabricated buildings according to claim 1, characterized in that, The AI ​​processing module includes: The user behavior analysis unit is used to analyze users' operating habits through machine learning algorithms and generate personalized learning paths. The user behavior analysis unit analyzes user operation data based on convolutional neural networks (CNN) and long short-term memory networks (LSTM). The performance prediction unit is used to predict the performance of building structures under different conditions using AI algorithms. The performance prediction unit generates performance prediction models based on support vector machine (SVM) and random forest algorithms. The intelligent optimization unit is used to automatically optimize the architectural design scheme based on the simulation results. The intelligent optimization unit generates the optimization scheme based on the genetic algorithm and the particle swarm optimization algorithm.

6. The virtual simulation experimental teaching and training system for prefabricated buildings according to claim 1, characterized in that, It provides zoom in and zoom out functions for the node image display unit, as well as the ability to view local details, to enhance the user's understanding of the node structure.

7. An electronic device, characterized in that, The electronic device includes: one or more processors; Memory; and One or more applications, wherein the one or more applications are stored in the memory and configured to be run by the processor to implement the system of any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that, It stores a computer program, which is loaded by a processor to run the system according to any one of claims 1 to 6.

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