Fabricated building virtual simulation experiment teaching and practical training system

Abstract

The invention relates to a fabricated building virtual simulation experiment teaching and practical training system. The system comprises a course introduction module, a practical training case module, a multi-dimensional teaching module, a physical 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 performs teaching based on practical cases; the multi-dimensional teaching module realizes omnibearing learning from parts to structures; the physical engine module calculates physical behaviors of building structures, the AI processing module analyzes user behaviors and intelligently optimizes the user behaviors, and the VR / AR interface module provides an immersive learning environment. The influence of stress on a building structure is integrated through modular design, the progress condition of carbon emission in construction engineering is analyzed, and the defects of an existing teaching system are overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of educational simulation, and in particular to a prefabricated building virtual simulation experimental teaching and training system. Background Art

[0002] In the traditional field of prefabricated building teaching, teaching activities mainly rely on physical model display, on-site teaching and practical operation training. However, these teaching methods have many defects: the production cost of physical models is high, and it is difficult to fully display the details of complex building structures and their life cycle changes; on-site teaching is limited by venue and time, and it is difficult to achieve frequent teaching of large-scale student groups; practical operation training faces safety risks and material loss problems, and it is difficult for students to gain a comprehensive experience of diverse building structures and process technologies within a limited time. Given the continued growth in the construction industry's demand for prefabricated building talents, it has become an urgent task to develop an efficient, safe, low-cost and content-rich teaching method.

[0003] Research has found that the current prefabricated building teaching systems such as CN108447335A and CN113205607A only provide demonstration simulations, which build the basic units of building structures and construction tools into the system to demonstrate the component morphology and construction process images for students. However, this simulation fails to simulate the impact of various loads (forces) on building structures and construction during the actual construction process, and it is difficult to meet the current teaching requirements. In addition, the importance of carbon emissions has become increasingly significant with the formulation of zero-carbon goals, and the existing old systems have failed to take it into account.

[0004] Therefore, there is an urgent need for an innovative teaching system that can use computer programming languages ​​and simulation technology based on the teaching characteristics of prefabricated buildings, comprehensively introduce the impact of forces on building structures, and analyze the development of carbon emissions in construction projects to enhance the scientificity and rationality of teaching design. Summary of the invention

[0005] The present invention provides a prefabricated building virtual simulation experimental teaching and training system, which integrates the influence of force on the building structure through modular design, analyzes the progress of carbon emissions in the construction project, and solves the drawbacks of the existing teaching system.

[0006] The present invention provides a prefabricated building virtual simulation experiment teaching and training system, which is characterized by comprising:

[0007] A course introduction module, which includes an in-class learning submodule and an extracurricular learning submodule, and is used to provide theoretical learning resources;

[0008] A practical training case module, which includes a full life cycle carbon emissions calculation submodule and a fully assembled wall panel structure design and installation interactive submodule, and is used for teaching based on actual cases;

[0009] A multi-dimensional teaching module, which includes a prefabricated component library submodule, a typical dry connection beam-column node submodule, and a fully assembled wall panel structure submodule, for realizing all-round teaching from components to structures;

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

[0011] AI processing module for analyzing user behavior, predicting performance, and intelligently optimizing operations;

[0012] VR / AR interface module is used to provide an immersive learning environment and enhance the intuitiveness and interactivity of learning.

[0013] Furthermore, the full life cycle carbon emissions calculation submodule includes:

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

[0015] The calculation method unit guides the user to complete the calculation process; the calculation method unit calculates the carbon emissions of each stage through the carbon emission factor, specifically including:

[0016] S1. Calculation formula for carbon emissions during the production phase: Among them, F i is the carbon emission factor of the i-th material, unit: kg / m 3 ; W i is the mass or volume of the ith material, unit: m 3 ;

[0017] S2. Calculation formula for carbon emissions during transportation: Among them, F i is the carbon emission factor of the ith means of transport, unit: kg / (t*km); W i is the mass of the ith material, unit: t; L i is the distance of transporting the ith material, in km;

[0018] S3. Calculation formula for carbon emissions during the construction phase: Among them, F i n is the carbon emission factor of the i-th construction tool, unit: kg / shift; N iis the number of shifts of the i-th type of construction tool, unit: shift; F i c is the carbon emission factor of the i-th fuel, unit: kg / kg; C i is the usage of the i-th fuel, unit: kg; F i h is the carbon emission factor of the i-th construction type, unit: kg / day; H i is the man-day of the i-th type of construction work, unit: day;

[0019] S4. Calculation formula for 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, unit: kg / kWh; Ce is the electricity consumption, unit: kWh; b is the carbon emission factor of tap water, unit: kg / kg; Cw is the water consumption; i is the carbon emissions of other materials;

[0020] S5. Calculation formula for carbon emissions during the demolition phase:

[0021] Where E m is the carbon emission during the demolition phase of prefabricated buildings, unit: kg; F i m is the carbon emission factor of the ith means of transport, unit: kg / (t*km); W i m is the mass of the ith material, unit: t; L i m is the distance of transporting the i-th material, unit: km; F i mn is the carbon emission factor of the i-th demolition tool, unit: kg / shift; N i m is the number of shifts for the i-th type of demolition tool, unit: shift; F i mc is the carbon emission factor of the i-th fuel, unit: kg / kg; C i m is the usage of the i-th fuel, unit: kg; F i mh is the carbon emission factor of the i-th type of demolition work, unit: kg / day; H i m is the man-day of the i-th type of demolition work, unit: day;

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

[0023] An evaluation standard unit provides evaluation standards for carbon emission analysis, wherein the evaluation standard unit is optimized based on national normative standards and local resource consumption data.

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

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

[0026] An 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 a seismic response spectrum through a seismic wave simulation module, providing real-time feedback on the impact of environmental factors on the building structure.

[0027] An AI auxiliary unit is used to detect the compliance of construction operations in real time through AI technology and generate dynamic prompt information according to preset construction rules. The AI ​​auxiliary unit analyzes user operation data based on a deep learning algorithm, generates personalized optimization suggestions, and dynamically adjusts construction rules through a reinforcement learning algorithm;

[0028] The virtual construction scene unit simulates the whole process of assembly operations from foundation construction to maintenance structure.

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

[0030] S11. The user selects a foundation construction module in the virtual scene, and the system generates a foundation frame line through laser level mapping, and monitors the earth excavation progress and loading limit in real time; the physical simulation unit simulates the mechanical behavior during earth excavation, the environmental simulation unit simulates the impact of wind load on earth stability during excavation, and the AI ​​auxiliary unit provides optimization suggestions based on user operations;

[0031] S21. During the construction of the ground beam foundation, the user obtains the component information by scanning the 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 the earthquake response on the stability of the ground beam, and the AI ​​auxiliary unit detects the compliance of the bolt installation in real time and provides error correction prompts;

[0032] S31. When the wall panels and structural columns are installed, 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 panels and the structural columns, the environmental simulation unit simulates the impact of wind loads on the stability of the wall panels, and the AI ​​auxiliary unit generates optimization suggestions based on user operations;

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

[0034] S51. During the decoration and maintenance stage, 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 ​​auxiliary unit provides optimization suggestions for material selection and construction effect based on user operations.

[0035] Furthermore, the physical engine module is used to realize the physical behavior simulation of the building structure, including:

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

[0037] A collision detection unit, used to detect collisions between building components, wherein the collision detection unit detects contact and collision between components in real time through a space segmentation algorithm (such as a BVH tree);

[0038] A material deformation unit, used to simulate the deformation behavior of building materials under stress conditions, wherein the material deformation unit simulates the elasticity, plasticity and fracture behavior of the material based on a constitutive model;

[0039] The physics engine interface unit is used to integrate physics engines such as Unity3D and Unreal Engine to support real-time simulation and interaction.

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

[0041] A VR interaction unit, used to enable real-time operation and interaction of users at a virtual construction site through a VR helmet, wherein the VR interaction unit enables interaction between users and virtual scenes through handle tracking and gesture recognition technology;

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

[0043] The 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 of the virtual model with the real environment. The immersive experience unit is used to enhance the user's immersive learning experience through VR / AR technology.

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

[0045] A user behavior analysis unit, used to analyze the user's operating habits through a machine learning algorithm and generate a personalized learning path, wherein the user behavior analysis unit analyzes user operation data based on a convolutional neural network (CNN) and a long short-term memory network (LSTM);

[0046] A performance prediction unit, used to predict the performance of the building structure under different conditions through an AI algorithm, wherein the performance prediction unit generates a performance prediction model based on a support vector machine (SVM) and a random forest algorithm;

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

[0048] Furthermore, the node image display unit is provided with functions of zooming in and out, as well as local detail viewing, to enhance the user's understanding of the node structure.

[0049] On the other hand, the present 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 any of the aforementioned systems.

[0053] In another aspect, the present application further claims protection for a computer-readable storage medium,

[0054] A computer program is stored thereon, and the computer program is loaded by a processor to run any of the aforementioned systems.

[0055] Compared with the prior art, the prefabricated building virtual simulation experimental teaching and training system of the present invention has the following beneficial effects:

[0056] 1. Provide a multi-module interactive platform that integrates theoretical learning, practical operation and effect testing to effectively improve teaching results;

[0057] 2. Support flexible interaction and visual display to enhance learning intuitiveness;

[0058] 3. Through the full life cycle carbon emissions calculation function, combined with the concept of green building, cultivate students' environmental awareness;

[0059] 4. The online teaching system breaks through the limitations of venue and time, reducing teaching costs and safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0061] Figure 1 This is a system function module distribution diagram of a prefabricated building virtual simulation experimental teaching and training system of the present invention.

[0062] Figure 2 The present invention discloses an interactive module simulation construction flow chart of an embodiment of a prefabricated building virtual simulation experimental teaching and training system.

[0063] Figure 3 The present invention provides a flowchart of carbon emission calculation for an interactive module of an embodiment of a prefabricated building virtual simulation experimental teaching and training system.

[0064] Figure 4 The present invention is a flowchart of the use guide of a prefabricated building virtual simulation experiment teaching and training system.

[0065] Figure 5 A schematic diagram of electronic equipment for running an assembled building virtual simulation experimental teaching and training system of the present invention.

[0066] Figure 6 A demonstration diagram of the operating interface for running an assembled building virtual simulation experimental teaching and training system of the present invention.

[0067] Figure 7 A demonstration diagram of the operating interface for running an assembled building virtual simulation experimental teaching and training system of the present invention.

[0068] Figure 8 A demonstration diagram of the operating interface for running an assembled building virtual simulation experimental teaching and training system of the present invention.

[0069] Fig. 9 A demonstration diagram of the operating interface for running an assembled building virtual simulation experimental teaching and training system of the present invention. DETAILED DESCRIPTION

[0070] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] 1. A prefabricated building virtual simulation experiment teaching and training system, characterized by comprising:

[0072] A course introduction module, which includes an in-class learning submodule and an extracurricular learning submodule, and is used to provide theoretical learning resources;

[0073] A practical training case module, which includes a full life cycle carbon emissions calculation submodule and a fully assembled wall panel structure design and installation interactive submodule, and is used for teaching based on actual cases;

[0074] A multi-dimensional teaching module, which includes a prefabricated component library submodule, a typical dry connection beam-column node submodule, and a fully assembled wall panel structure submodule, for realizing all-round teaching from components to structures;

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

[0076] AI processing module for analyzing user behavior, predicting performance, and intelligently optimizing operations;

[0077] VR / AR interface module is used to provide an immersive learning environment and enhance the intuitiveness and interactivity of learning.

[0078] In this application, the full life cycle carbon emissions calculation submodule includes:

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

[0080] The calculation method unit guides the user to complete the calculation process; the calculation method unit calculates the carbon emissions of each stage through the carbon emission factor, specifically including:

[0081] S1. Calculation formula for carbon emissions in the production stage: Among them, F i is the carbon emission factor of the i-th material, unit: kg / m3 ; W i is the mass or volume of the ith material, unit: m 3 ;

[0082] S2. Calculation formula for carbon emissions during transportation: Among them, F i is the carbon emission factor of the ith means of transport, unit: kg / (t*km); W i is the mass of the ith material, unit: t; L i is the distance of transporting the ith material, in km;

[0083] S3. Calculation formula for carbon emissions during the construction phase: Among them, F i n is the carbon emission factor of the i-th construction tool, unit: kg / shift; N i is the number of shifts of the i-th type of construction tool, unit: shift; F i c is the carbon emission factor of the i-th fuel, unit: kg / kg; C i is the usage of the i-th fuel, unit: kg; F i h is the carbon emission factor of the i-th construction type, unit: kg / day; H i is the man-day of the i-th type of construction work, unit: day;

[0084] S4. Calculation formula for 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, unit: kg / kWh; Ce is the electricity consumption, unit: kWh; b is the carbon emission factor of tap water, unit: kg / kg; Cw is the water consumption; i is the carbon emissions of other materials;

[0085] S5. Calculation formula for carbon emissions during the demolition phase:

[0086] Where E m is the carbon emission during the demolition phase of prefabricated buildings, unit: kg; F i m is the carbon emission factor of the ith means of transport, unit: kg / (t*km); W i m is the mass of the ith material, unit: t; L i m is the distance of transporting the i-th material, unit: km; F imn is the carbon emission factor of the i-th demolition tool, unit: kg / shift; N i m is the number of shifts for the i-th type of demolition tool, unit: shift; F i mc is the carbon emission factor of the i-th fuel, unit: kg / kg; C i m is the usage of the i-th fuel, unit: kg; F i mh is the carbon emission factor of the i-th type of demolition work, unit: kg / day; H i m is the man-day of the i-th type of demolition work, unit: day;

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

[0088] An evaluation standard unit provides evaluation standards for carbon emission analysis, wherein the evaluation standard unit is optimized based on national normative standards and local resource consumption data.

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

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

[0091] An 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 a seismic response spectrum through a seismic wave simulation module, providing real-time feedback on the impact of environmental factors on the building structure.

[0092] An AI auxiliary unit is used to detect the compliance of construction operations in real time through AI technology and generate dynamic prompt information according to preset construction rules. The AI ​​auxiliary unit analyzes user operation data based on a deep learning algorithm, generates personalized optimization suggestions, and dynamically adjusts construction rules through a reinforcement learning algorithm;

[0093] The virtual construction scene unit simulates the whole process of assembly operations 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 a foundation construction module in the virtual scene, and the system generates a foundation frame line through laser level mapping, and monitors the earth excavation progress and loading limit in real time; the physical simulation unit simulates the mechanical behavior during earth excavation, the environmental simulation unit simulates the impact of wind load on earth stability during excavation, and the AI ​​auxiliary unit provides optimization suggestions based on user operations;

[0096] S21. During the construction of the ground beam foundation, the user obtains the component information by scanning the 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 the earthquake response on the stability of the ground beam, and the AI ​​auxiliary unit detects the compliance of the bolt installation in real time and provides error correction prompts;

[0097] S31. When the wall panels and structural columns are installed, 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 panels and the structural columns, the environmental simulation unit simulates the impact of wind loads on the stability of the wall panels, and the AI ​​auxiliary unit generates optimization suggestions based on user operations;

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

[0099] S51. During the decoration and maintenance stage, 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 ​​auxiliary 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 implement the physical behavior simulation of the building structure, including:

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

[0102] A collision detection unit, used to detect collisions between building components, wherein the collision detection unit detects contact and collision between components in real time through a space segmentation algorithm (such as a BVH tree);

[0103] A material deformation unit, used to simulate the deformation behavior of building materials under stress conditions, wherein the material deformation unit simulates the elasticity, plasticity and fracture behavior of the material based on a constitutive model;

[0104] The physics engine interface unit is used to integrate physics engines such as Unity3D and Unreal Engine to support real-time simulation and interaction.

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

[0106] A VR interaction unit, used to enable real-time operation and interaction of users at a virtual construction site through a VR helmet, wherein the VR interaction unit enables interaction between users and virtual scenes through handle tracking and gesture recognition technology;

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

[0108] The 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 of the virtual model with the real environment. The immersive experience unit is used to enhance the user's immersive learning experience through VR / AR technology.

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

[0110] A user behavior analysis unit, used to analyze the user's operating habits through a machine learning algorithm and generate a personalized learning path, wherein the user behavior analysis unit analyzes user operation data based on a convolutional neural network (CNN) and a long short-term memory network (LSTM);

[0111] A performance prediction unit, used to predict the performance of the building structure under different conditions through an AI algorithm, wherein the performance prediction unit generates a performance prediction model based on a support vector machine (SVM) and a random forest algorithm;

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

[0113] In the present application, the node image display unit is provided with zoom-in and zoom-out functions, as well as local detail viewing, to enhance the user's understanding of the node structure.

[0114] The present application is further described below in conjunction with the embodiments. Figure 1As shown, the prefabricated building virtual simulation experimental teaching and training system of the present invention includes: course introduction, training cases, and multi-dimensional teaching; the course introduction module includes: in-class learning and extracurricular learning; the in-class learning module includes: course details, course content, and data download; the extracurricular learning module includes: after-class test, course evaluation, and extended information; the training case module includes: full life cycle carbon emission calculation, fully assembled wall panel structure design and installation interaction; the multi-dimensional teaching module includes: prefabricated parts library, typical dry connection beam-column nodes, and fully assembled wall panel structure;

[0115] The syllabus of the course details module lists the course content in detail in chapter form and marks the key and difficult parts.

[0116] The knowledge points of the course content modules are classified and displayed according to basic, advanced and advanced levels, and relevant cases are provided to assist understanding.

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

[0118] The after-class test module generates test questions of different difficulty levels based on the content of the knowledge point module, and provides detailed answer analysis and wrong question statistical analysis after the user answers the questions.

[0119] The course evaluation module supports users to submit evaluation content in a variety of ways such as text, ratings, voice, etc., and further provides an interactive platform to allow users to comment and communicate with each other, promoting the sharing and discussion of views.

[0120] The expanded information section can be updated in real time through network connection, comprehensively covering the latest developments in the field of prefabricated buildings; at the same time, this section also includes rich extracurricular learning resources to support users' continuous learning and knowledge updating in the field of prefabricated buildings.

[0121] like Figure 2 As shown in the figure, the life cycle carbon emissions calculation module includes the following steps: calculation model, which provides a variety of optional carbon emission calculation models, so that users can choose or customize carbon emission calculation models according to project requirements; calculation method, which guides users to perform carbon emission calculations, so that users can quickly master the carbon emission calculation process, provide clear operation instructions, and lower the usage threshold; calculation results, which display the carbon emission results calculated by users and support export in multiple data formats for subsequent analysis and application; evaluation standards, which provide relevant evaluation standards for carbon emission analysis, so that users can refer to authoritative carbon emission evaluation standards to ensure the scientificity 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 the user's 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 the two-story villa model house as an example, the simulation process includes the following 10 steps:

[0123] S1. The user selects the "foundation construction" module in the system, and the system will display a virtual scene of the construction site. The user uses the mouse or touch screen to select a laser level to survey the foundation frame line; the system will automatically generate the building foundation frame line according to the user's operation, and prompt the user to perform earth excavation. The user selects an excavator to perform virtual earth excavation, and the system will display the excavation progress in real time, and prompt the user to pile the excavated earth at the designated location; the system will detect according to the preset earth loading limit. If the user's operation exceeds the limit, the system will prompt an error and guide the user to adjust the operation. The user performs foundation compaction operations, and the system will detect the flatness and density of the foundation in real time to ensure that there is no uneven settlement; if the foundation does not meet the construction requirements, the system will prompt the user to compact it again.

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

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

[0126] When the user selects a wall panel for virtual lifting, the system will prompt the user to use a prefabricated torque wrench to set the bolt preload; the user needs to connect the wall panel to the foundation according to the system prompts, and the system will detect the bolt preload in real time. If it does not meet the requirements, the system will prompt an error and guide the user to make adjustments; 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 inspect the overall structure to ensure correct installation.

[0127] S4. When the user enters the "Ring Beam Installation" module, the system will display a virtual scene of a ring beam. When the user selects the ring beam for virtual hoisting, the system will prompt the user to connect the ring beam to the wall panel; when the user connects beams, the system will prompt the user to use the double-sided splicing plate connection process; the user needs to embed steel plates at the ends of the beams first, and then connect them by splicing the steel plates. The system will detect 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 a ring beam, the system will detect the overall structure to ensure that the installation is correct.

[0128] S5. When the user enters the "Floor Installation" module, the system will display a virtual scene of the second floor. When the user selects the floor for virtual hoisting, the system will prompt the user to connect the floor with the first-floor ring beam; when the user connects the floor, the system will detect the accuracy of the connection in real time. If the connection 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 second floor, the system will detect the overall structure to ensure that the installation is correct.

[0129] S6. The user enters the "Second Floor Wall Panel and Structural Column Installation" module, and the system displays 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, and the system detects the user's operation steps in real time and provides correct operation prompts; after the user completes the installation of the second floor wall panels and structural columns, the system will detect the overall structure 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; when the user performs virtual operations according to the installation process of the first-floor ring beam, the system will detect the user's operating steps in real time and provide correct operating prompts; after the user completes the installation of the second-floor ring beam, the system will perform an overall structural inspection to ensure correct installation.

[0131] S8. When the user enters the "Roof Slab Installation" module, the system will display a virtual scene of the roof slab; when the user performs virtual operations according to the installation process of the second floor slab, the system will detect the user's operating 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 correct installation.

[0132] S9. When the user enters the "Decoration and Construction" module, the system will display virtual scenes of the exterior and interior; when the user selects decoration materials for virtual operations, the system will prompt the user to perform exterior decoration and interior insulation treatment; after the user completes the decoration operation, the system will test the overall effect to ensure that the decoration meets the design requirements.

[0133] S10. The user enters the "Maintenance Structure and Greening" module, and the system displays a virtual scene of outdoor roads and greening. The user selects the maintenance structure for virtual operation, and the system prompts the user to pave the road and carry out outdoor greening construction; after the user completes the maintenance structure and greening operation, the system will test the overall effect to ensure that the construction meets the design requirements.

[0134] The component data information stored in the prefabricated parts library module includes the size specifications, mechanical performance parameters, applicable building scenarios and production process introduction of the components. In addition, the module also stores the 3D model of the prefabricated parts, which supports 360-degree rotation and has the function of zooming in and out, so that users can view the details of the components.

[0135] The image display unit of the typical dry-connected beam-column node module allows users to zoom in, zoom out, rotate and view local details of the image, making it easier to observe the beam-column node in depth.

[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 operations to meet the different viewing needs of users.

[0137] like Figure 4 As shown, a specific method for using a prefabricated building virtual simulation experiment teaching and training system includes the following steps:

[0138] 1) User registration and login;

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

[0140] 3) Conduct course study or practical training;

[0141] 4) Conduct post-class examinations through post-class test questions;

[0142] 5) Evaluate the course based on your own learning situation.

[0143] In addition, this application also captures some screenshots of the training system, see Figure 6-9 , for reference.

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

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

[0146] The processor is the control center of the electronic device, which uses various interfaces and lines to connect the various parts of the entire electronic device, and executes various functions of the electronic device and processes data by running or executing software programs and / or modules stored in the memory, and calling data stored in the memory, so as to monitor the electronic device as a whole. 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 (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. Preferably, the processor may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor.

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

[0148] The electronic device also includes a power supply for supplying power to each component. Preferably, the power supply can be logically connected to the processor through a power management system, so that the power management system can manage charging, discharging, power consumption and other functions. The power supply can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0149] The electronic device may further include an input unit, which may 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 controls.

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

[0151] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

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

[0153] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A prefabricated building virtual simulation experimental teaching and training system, characterized in that: include: A course introduction module, which includes an in-class learning submodule and an extracurricular learning submodule, and is used to provide theoretical learning resources; A practical training case module, which includes a full life cycle carbon emissions calculation submodule and a fully assembled wall panel structure design and installation interactive submodule, and is used for teaching based on actual cases; A multi-dimensional teaching module, which includes a prefabricated component library submodule, a typical dry connection beam-column node submodule, and a fully assembled wall panel structure submodule, for realizing all-round teaching from components to structures; Physics engine module, used to calculate the physical behavior of building structures, including structural mechanics simulation, collision detection and material deformation; AI processing module for analyzing user behavior, predicting performance, and intelligently optimizing operations; VR / AR interface module is used to provide an immersive learning environment and enhance the intuitiveness and interactivity of learning.

2. The prefabricated building virtual simulation experimental teaching and training system according to claim 1 is characterized in that: The full life cycle carbon emissions calculation submodule includes: A calculation model unit provides a variety of carbon emission models and supports custom settings. The calculation model unit calculates the carbon emissions of buildings from production, transportation, construction, operation and maintenance to demolition based on the life cycle assessment (LCA) method; The calculation method unit guides the user to complete the calculation process; the calculation method unit calculates the carbon emissions of each stage through the carbon emission factor, specifically including: S1. Calculation formula for carbon emissions in the production stage: where F i is the carbon emission factor of the i-th material, unit: kg / m 3 ; W i is the mass or volume of the ith material, unit: m 3 ; S2. Calculation formula for carbon emissions during transportation: where F i is the carbon emission factor of the ith means of transport, unit: kg / (t*km); W i is the mass of the ith material, unit: t; L i is the distance of transporting the ith material, in km; S3. Calculation formula for carbon emissions during the construction phase: where F i n is the carbon emission factor of the i-th construction tool, unit: kg / shift; N i is the number of shifts of the i-th type of construction tool, unit: shift; F i c is the carbon emission factor of the i-th fuel unit: kg / kg; C i is the usage of the i-th fuel, unit: kg; F i h is the carbon emission factor of the i-th construction type, unit: kg / day; H i is the man-day of the i-th type of construction work, unit: day; S4. Calculation formula for 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, unit: kg / kWh; Ce is the electricity consumption, unit: kWh; b is the carbon emission factor of tap water, unit: kg / kg; Cw is the water consumption; i is the carbon emissions of other materials; S5. Calculation formula for carbon emissions during the demolition phase: Where E m is the carbon emission during the demolition phase of prefabricated buildings, unit: kg; F i m is the carbon emission factor of the ith means of transport, unit: kg / (t*km); W i m is the mass of the ith material, unit: t; L i m is the distance of transporting the i-th material, unit: km; F i mn is the carbon emission factor of the i-th demolition tool, unit: kg / shift; N i m is the number of shifts for the i-th type of demolition tool, unit: shift; F i mc is the carbon emission factor of the i-th fuel, unit: kg / kg; C i m is the usage of the i-th fuel, unit: kg; F i mh is the carbon emission factor of the i-th type of demolition work, unit: kg / day; H i m is the man-day of the i-th type of demolition work, unit: day; A calculation result unit, which displays the calculation results and supports data export. The calculation result unit displays the carbon emissions and their proportions at each stage through visual charts; An evaluation standard unit provides evaluation standards for carbon emission analysis, wherein the evaluation standard unit is optimized based on national normative standards and local resource consumption data.

3. The prefabricated building virtual simulation experimental teaching and training system according to claim 1 is characterized in that: The fully assembled wall panel structure design and installation interactive submodule includes: A physical simulation unit, which is used to simulate mechanical behavior and material deformation during the construction process based on a physical engine. The physical simulation unit calculates the stress, strain and deformation distribution of building components under load in real time through a finite element analysis method, and supports dynamic adjustment of simulation parameters; An 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 a seismic response spectrum through a seismic wave simulation module, providing real-time feedback on the impact of environmental factors on the building structure. An AI auxiliary unit is used to detect the compliance of construction operations in real time through AI technology and generate dynamic prompt information according to preset construction rules. The AI ​​auxiliary unit analyzes user operation data based on a deep learning algorithm, generates personalized optimization suggestions, and dynamically adjusts construction rules through a reinforcement learning algorithm; The virtual construction scene unit simulates the whole process of assembly operations from foundation construction to maintenance structure.

4. The prefabricated building virtual simulation experimental teaching and training system according to claim 3 is characterized in that: The interaction steps of the components of the fully assembled wall panel structure design and installation interaction submodule are as follows: S11. The user selects a foundation construction module in the virtual scene, and the system generates a foundation frame line through laser level mapping, and monitors the earth excavation progress and loading limit in real time; the physical simulation unit simulates the mechanical behavior during earth excavation, the environmental simulation unit simulates the impact of wind load on earth stability during excavation, and the AI ​​auxiliary unit provides optimization suggestions based on user operations; S21. During the construction of the ground beam foundation, the user obtains the component information by scanning the 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 the earthquake response on the stability of the ground beam, and the AI ​​auxiliary unit detects the compliance of the bolt installation in real time and provides error correction prompts; S31. When the wall panels and structural columns are installed, 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 panels and the structural columns, the environmental simulation unit simulates the impact of wind loads on the stability of the wall panels, and the AI ​​auxiliary unit generates optimization suggestions based on user operations; S41. During the installation of ring beams, floor slabs and second-floor structures, the system detects the splicing process and structural stability; The physical simulation unit simulates the mechanical behavior of the ring beam and the floor slab during splicing, the environmental simulation unit simulates the impact of earthquake response on structural stability, and the AI ​​auxiliary unit detects the compliance of the splicing process in real time and provides optimization suggestions; S51. During the decoration and maintenance stage, 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 ​​auxiliary unit provides optimization suggestions for material selection and construction effect based on user operations.

5. The prefabricated building virtual simulation experimental teaching and training system according to claim 1 is characterized in that: The physics engine module is used to simulate the physical behavior of building structures, including: A mechanical calculation unit, used to simulate the mechanical response of the building structure under load, and the mechanical calculation unit calculates the stress, strain and deformation distribution of the building components under load in real time through a finite element analysis method; A collision detection unit, used to detect collisions between building components, wherein the collision detection unit detects contact and collision between components in real time through a space segmentation algorithm (such as a BVH tree); A material deformation unit, used to simulate the deformation behavior of building materials under stress conditions, wherein the material deformation unit simulates the elasticity, plasticity and fracture behavior of the material based on a constitutive model; The physics engine interface unit is used to integrate physics engines such as Unity3D and Unreal Engine to support real-time simulation and interaction.

6. The prefabricated building virtual simulation experiment teaching and training system according to claim 1 is characterized in that: The VR / AR interface module includes: A VR interaction unit, used to enable real-time operation and interaction of users at a virtual construction site through a VR helmet, wherein the VR interaction unit enables interaction between users and virtual scenes through handle tracking and gesture recognition technology; AR display unit, used to overlay virtual building models into the real environment through AR devices, supporting real-time design and modification; The 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 of the virtual model with the real environment. The immersive experience unit is used to enhance the user's immersive learning experience through VR / AR technology.

7. The prefabricated building virtual simulation experimental teaching and training system according to claim 1 is characterized in that: The AI ​​processing module includes: A user behavior analysis unit, used to analyze the user's operating habits through a machine learning algorithm and generate a personalized learning path, wherein the user behavior analysis unit analyzes user operation data based on a convolutional neural network (CNN) and a long short-term memory network (LSTM); A performance prediction unit, used to predict the performance of the building structure under different conditions through an AI algorithm, wherein the performance prediction unit generates a performance prediction model based on a support vector machine (SVM) and a random forest algorithm; The intelligent optimization unit is used to automatically optimize the building design scheme according to the simulation results, and the intelligent optimization unit generates the optimization scheme based on the genetic algorithm and the particle swarm optimization algorithm.

8. The prefabricated building virtual simulation experimental teaching and training system according to claim 1 is characterized in that: Provides zoom-in and zoom-out functions for node image display units, as well as local detail viewing, to enhance users' understanding of node structure.

9. An electronic device, characterized in that: The electronic device includes: one or more processors; Memory; and One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the system of any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program is loaded by a processor to run the system according to any one of claims 1 to 8.

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